為順應知識經濟與科技發展的潮流，減少學生的閱讀困擾，開發符合使用者需求的閱讀輔助工具，本研究及研究團隊（臺灣師範大學華語文與科技研究中心）對「SmartReading—適性閱讀（SR）」網站重新進行了設計。本研究通過使用者經驗問卷（User Experience Questionnaire ，UEQ）對新版SR網站之使用者經驗進行評估，結果顯示SR的使用者經驗處於平均基準線之上，但UEQ無法測量到更多SR的使用者經驗細節，且目前尚未有適合的評量工具。因此，本研究進一步將閱讀機制理論及使用者經驗理論相結合，建置了「適性閱讀使用者經驗量表」。量表經因素分析後萃取出五個構面，依內容特性分別命名為「經驗動機、經驗預期、經驗操作、經驗感受、經驗刺激」。量表經信、效度檢驗後，結果顯示內部一致性良好，且具有良好的建構效度，是一個符合實證的研究模式。本研究進一步對SR使用者經驗設計之心流影響進行了測量，結果顯示：使用者、工具、任務變項均對心流體驗有正向顯著的影響力；心流體驗對心流影響有正向顯著的影響力；使用者、工具、任務三個變項皆透過心流體驗而間接地對心流影響有正向顯著的影響力。綜上所述，新版SR網站在使用者經驗設計領域提供了設計實務之貢獻；量表的建置為使用者經驗研究豐富了評量工具之貢獻；SR使用者經驗設計之心流影響為上述兩項研究提供了實證研究之貢獻。

In order to comply with the trend of knowledge economy and technological development, reduce students' reading difficulties, and develop reading aids that meet the needs of users, this research and the Chinese Language and Technology Center (CLTC) redesigned the "SmartReading (SR)" website.This research evaluated the user experience of the new SR website through the User Experience Questionnaire (UEQ). The results showed that the user experience of SR was above the average baseline, but UEQ could not measure more details, and there is currently no suitable evaluation tool. Therefore, this research further combined the reading mechanism theory and the user experience theory to construct the "SmartReading User Experience Scale". After factor analysis, five aspects of the scale were extracted, which were named "Experience Motivation, Experience Expectation, Experience Operation, Experience Feeling, and Experience Stimulation" according to the content characteristics. After the scale was tested for reliability and validity, the results showed that it had good internal consistency and good construct validity. It is an empirical research model.This research further measured the impact of SR user experience design on flow. The results showed that: The "Person, Artifact, and Task " variables all have a positive and significant impact on "Flow Experience "; The "Flow Experience "has a positive impact on "Flow Impact ". The three variables of "Person, Artifact, and Task "all have a positive and significant influence on "Flow Impact "indirectly through "Flow Experience ". To sum up, the new version of SR website has provided design practice contributions in the field of user experience design; The construction of the "SmartReading User Experience Scale " has enriched the contribution of evaluation tools for user experience research; The flow impact of SR user experience design provides empirical research contributions to the above two researches.

陳柏霖、洪兆祥、余民寧（2013）。網路閱讀態度、網路閱讀行為及網路閱讀素養之橫斷面研究。教育科學研究期刊，58（3），23-50，https://doi.org/10.6209/JORIES.2013.58(3).02
陳志銘、陳冠雯、陳志修（2015）。點讀筆支援紙本繪本對兒童閱讀動機、情緒、注意力與理解成效之探討。圖書館學與資訊科學，41-1，38-56。https://doi.org/10.6245/JLIS.2015.411/649
陳昭珍（2019）。從紙本閱讀素養到數位閱讀素養。圖書教師電子報，68（3）。https://teacherlibrarian.lib.ntnu.edu.tw/vj-attachment/TL068/68_01_陳昭珍_從紙本閱讀素養到數位閱讀素養.pdf
陳順宇（2005）。多變項分析（第四版）。台北市：華泰文化。
測驗及評量研究中心（2020）。PISA 2018，191。國家教育研究院電子報。https://epaper.naer.edu.tw/edm.php?edm_no=191&content_no=3398
黃增隆、別蓮蒂、樓永堅（2017）。以自發性導引法再探虛擬世界中的沉浸體驗。管理學報， 34（4），497-528。 https://doi.org/10.6504/JMBR.201712_34(4).0002
劉佩雲（2019）。多元閱讀策略教學對摘要與閱讀理解能力效果之研究。師資培育與教師專業發展期刊，12（3），1-27。https://doi.org/10.3966/207136492019121203001
李奕璇、周業太、宋曜廷（2021）。中文閱讀能力適性診斷評量編製研究。教育心理學報，533（2），285-305。https://doi.org/10.6251/BEP.202112_53(2).0002
李漢岳、楊介銘、宋曜廷（2017）。數位學習實驗研究品質評估與現況分析：以行動學習為例。教育科學研究期刊，62（2），31 - 60。https://doi.org/10.6209/JORIES.2017.62(2).02
林珊如（2010）。數位時代的閱讀：青少年網路閱讀的爭議與未來。圖書資訊學刊，8（2）， 29-53。https://doi.org/10.6182/jlis.2010.8(2).029
林寶貴、綺寶香（1999）。中文閱讀理解測驗指導手冊。台北市：教育部。
林淑瓊、林衛國、鄭祐承（2018）。從顧客核心觀點探討科技中介代理服務之失敗補救意涵-以網路線上遊戲玩家為例。大同學報，33，27-37。
簡馨瑩（2008）。讓閱讀策略教學發生在你的教室裡-以預測策略為例。新竹縣教育研究集刊，8，21-3。http://catalog.digitalarchives.tw/item/00/54/75/da.html
教育部（2009）。悦讀101:教育部國民中小學提升閱讀計畫。www.bookstart2010.url.tw
教育部（2014）。十二年國民基本教育課程綱要總綱 。https://www.naer.edu.tw/upload/1/16/doc/288/十二年國教課程綱要總綱.pdf
教育部（2023）。臺灣PISA 2022成果發表。https://www.edu.tw/News_Content.aspx?n=9E7AC85F1954DDA8&s=1A08AD2FC666D4C6
教育部（2023）。https://www.sdc.org.tw/product/smartreading適性閱讀/
邱皓政。（2006）。量化研究與統計分析。台北市：五南圖書。
阮品綸、張國恩、宋曜廷（2022）。中文閱讀動機量表之編製與信效度檢驗。教育心理學報，53 （4），827-852。 https://doi.org/10.6251/BEP.202206_53(4).0003
任俊、施靜、馬甜語（2009）。心理科學進展，17（1），210-217。
孫劍秋、林孟君（2013）。從臺灣中學生PISA閱讀素養的表現談精進學生閱讀素養的教學策略。中等教育，64（3），35-51。https://doi.org/10.6249/SE.2013.64.3.3
沈欣怡、蘇宜芬（2011）。推論性問題引導課程對國小四年級學童推論理解與閱讀理解能力之影響。教育心理學報，43（S），337-356。https://doi.org/10.6251/BEP.20110801
宋曜廷、吳昭容、劉子鍵、廖遠光、洪煌堯、吳心楷、籃玉如、周倩、廖楷民、辛靜婷、潘佩妤（2012）。數位學習研究方法。台北市：高等教育出版社。
蘇慧堅、鍾燕宜（2004）。閱讀心流經驗於出版行銷策略之研究。出版與管理研究，1（1），79-132。
吳清基（2010）。推動臺灣的閱讀教育-全民來閱讀。研考雙月刊，34（1），62-66。https://doi.org/10.6978/YKSYK.201002.0062
吳明隆（2003）。SPSS統計應用學習實務：問卷分析與應用統計（第三版）。台北市：五南圖書。
吳丹、冉愛華（2015）。移動閱讀應用的使用者體驗比較研究。現代圖書情報技術，31（7-8），73-79。https://doi.org/10.11925/infotech.1003-3513.2015.07.10
王璿（2003）。線上教學。網路社會學通訊期刊，33。http://www.nhu.edu.tw/~society/e-j/33/33-24.htm。
許峻誠（2019）。使用者經驗研究的回顧與展望。資訊社會研究，36，27-37。https://doi.org/10.29843/JCCIS.201901_(36).0003
許言、陳江杰、 顧超、 吳偉隆（2021）。擴增實境應用在基本設計教學之心流體驗探討。設計學報，26（2），43-65。https://www.airitilibrary.com/Article/Detail?DocID=16068327-202106-202107090008-202107090008-43-66
顔志龍、鄭中平（2016）。給論文寫作者的統計指南: 傻瓜也會跑統計。台北市：五南圖書。
趙子揚、宋曜廷（2019）。中學生考試壓力與個人特性：潛在類別分析。教育科學研究期刊，64（3），203-235。https://doi.org/10.6209/JORIES.201909_64(3).0008
鄭宜芬（2022）。疫情間盯螢幕暴增1小時20分-國外研究：青少年增最多。健康醫療網。https://www.healthnews.com.tw/article/55791
張郁雯、林育沖、宋曉婷、游婷雅、丘嘉慧（2014）。數位閱讀素養學習活動手冊。https://sites.google.com/site/reading8learning01/pirls/pirls-2016
張世彗（2014）。閱讀理解量表建製之探究。特殊教育發展期刊，58，1-12。https://doi.org/ 10.7034/DSE.201412_(58).0001
張貴琳（2013）。青少年線上閱讀素養評量工具之發展。教育實踐與研究，26（2），29-65。https://www.airitilibrary.com/Article/Detail?DocID=19935633-201312-201401200027-201401200027-29-65
張貴琳、蘇宗立（2015）。青少年線上閱讀策略覺察量表之效度驗證。屏東教育大學學報-教育類，42（5），135-170。https://www.airitilibrary.com/Article/Detail?DocID=P20161013002-201505-201610130031-201610130031-135-169
Abels, E.G.,White, M.D.,& Karla, H. (1998). A user-based design process for Web sites. Internet Research: Electronic Networking Applications and Policy, 8 (1), 39-48. MCB University Press.
Abras, C., Maloney-Krichmar, D., & Preece, J. (2004). User-Centered Design. In: Bainbridge, W., Ed., Encyclopedia of Human-Computer Interaction, Sage Publications, Thousand Oaks, CA, 445-456. https://www.academia.edu/1012299/User_centered_design
Afflerbach, P., & Cho, B.-Y. (2009). Identifying and describing constructively responsive comprehension strategies in new and tradi- tional forms of reading. Handbook of research on reading comprehension, (pp. 69-90). New York: Routledge.
Agarwal, R., & Prasad, J. (1998) A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology. Information Systems Research, 9, 204-224. http://dx.doi.org/10.1287/isre.9.2.204
Agarwal, R., & Karahanna, E. (2000) Time Flies When You’re Having Fun: Cognitive Absorption and Beliefs about Information Technology Usage. MIS Quarterly, 24, 665-694. https://doi.org/10.2307/3250951
Aguilera-Hermida, A. P. (2020). College Students’ Use and Acceptance of Emergence Online Learning Due to Covid-19. International Journal of Educational Research Open, 1, 100011. https://doi.org/10.1016/j.ijedro.2020.100011
Alrawashdeh,G.S. (2022). Approaches to Technology-enabled Personalized and Adaptive Learning: A Brief Overview. OSF Preprints. https://doi.org/10.31219/osf.io/98u7r
Alexander, J.E., & Filler, R.C. (1976). Attitudes and Reading. Reading Aids Series. ERIC. https://eric.ed.gov/?id=ED126491
Anastasiou, D., & Griva, E. (2009). Awareness of reading strategy use and reading comprehension among poor and good readers. Elementary Education Online, 8 (2), 283-297. In the online journal: http://ilkogretim-online.org.tr/
An, X . (2021). Measuring the Impact of IXL Math and IXL Language Arts in Kentucky Schools. IXL LEARNING. https://www.ixl.com/research/Impact-of-IXL-in-Kentucky.pdf
Atkinson, J. (2002). The Developing Visual Brain. UK: Oxford University .
Atoum, I., Almalki, J., Alshahrani, S.M ., & Shehri, W.A. (2021). Towards Measuring User Experience based on Software Requirements. International Journal of Advanced Computer Science and Applications, 12 (11). http://dx.doi.org/10.14569/IJACSA.2021.0121137
Bang, H. J., & Collins, K . (2020). ABCmouse significantly increases children’s english language and digital literacy skills. Research brief. Age of Learning. https://www.ageoflearning.com/case_studies/AofL_BL2A_CostaRica_EfficacyStudy_08.pdf
Baron, J. B., & Sternberg, R. J. (Eds.). (1987). Teaching thinking skills: Theory and practice. W H Freeman/Times Books/ Henry Holt & Co.
Baker, L., Afflerbach, P., & Reinking, D. (1996). Developing engaged readers in school and home communities. New York and London: Routledge.
Baker, L., & Wigfield, A. (1999). Dimensions of children's motivation for reading and their relations to reading activity and reading achievement. Reading Research Quarterly, 34 (4), 452-477. https://doi.org/10.1598/RRQ.34.4.4
Baker, L., & Brown, A. L. (1984). Metacognitive skills and reading. In P. D. Pearson, R. Barr, M. L. Kamil and P. Mosenthal (Eds.). Handbook of Reading Research (pp. 353-394). New York: Longman.
Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84 (2), 191-215. https://doi.org/10.1037/0033-295X.84.2.191
Baddeley, A. D. (2000). The Episodic Buffer: A New Component of Working Memory? Trends in Cognitive Sciences, 4 (11), 417-423. https://doi.org/10.1016/S1364-6613(00)01538-2
Baddeley, A. D. (2000). Short-term and working memory. In E. Tulving & F. I. M. Craik (Eds.), The Oxford handbook of memory (pp. 77-92). U.K: Oxford University.
Bargas-Avila, J. A., & Hornbæk, K.(2011). Old wine in new bottles or novel challenges: a critical analysis of empirical studies of user experience. CHI '11: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2689-2698. https://doi.org/10.1145/1978942.1979336
Barrick, M. R., & Mount, M. K. (1991). The Big Five Personality Dimensions and Job Performance: A Meta Analysis. Personnel Psychology, 44, 1-26. http://dx.doi.org/10.1111/j.1744-6570.1991.tb00688.x
Bagozzi, R., & Yi, Y. (1988) On the Evaluation of Structural Equation Models. Journal of the Academy of Marketing Sciences, 16, 74-94. http://dx.doi.org/10.1007/BF02723327
Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173-1182. https://doi.org/10.1037/0022-3514.51.6.1173
Bechara, A., Damasio, H., & Damasio, A.R. (2000). Emotion, decision making and the orbitofrontal cortex. Cerebral Cortex, 10 (3), 295-307. https://doi.org/10.1093/cercor/10.3.295
Biancarose, G., & Snow, C. (2004). Reading next: A vision for action and research in middle and high school literacy: A report to Carnegie Corporation of New York. http://www.all4ed.org/publications/ReadingNext/index.html
Bloomfield, B. P., Latham, Y., & Vurdubakis, T. (2010). Bodies, Technologies and Action Possibilities: When is an Affordance? Sociology, 44 (3), 415-433. https://doi.org/10.1177/0038038510362469
Bollen, K. A. (1989). Structural equations with latent variables ( pp.319-394 ). John Wiley & Sons. https://doi.org/10.1002/9781118619179
Bonnardel, N., Piolat, A., & Le Bigot, L. (2011). The impact of colour on Website appeal and users’ cognitive processes. Displays, 32 (2), 69-80. https://doi.org/10.1016/j.displa.2010.12.002
Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. Sociological Methods & Research, 21 (2), 230-258. https://doi.org/10.1177/0049124192021002005
Byrne, B.M. (1998). Structural equation modeling with LISREL, PRELIS, and SIMPLIS: Basic concepts, applications, and programming. Mahwah, New Jersey: Lawrence Erlbaum Associates.
Cao, C., & Meng, Q. (2020). Exploring personality traits as predictors of english achievement and global competence among chinese university students: English learning motivation as the moderator. Learning and Individual Differences, 77, 101814. https://doi.org/10.1016/j.lindif.2019.101814
Cao, E.G., Duan, Y.J., Jiang, J.Z., & Hu,W.F. (2022). Exploring the Positive User Experience Possibilities Based on Product Emotion Theory: A Beverage Unmanned Retail Terminal Case. Human-Media Interaction,13, 889664. https://doi.org/10.3389/fpsyg.2022.889664
Carpenter, J.M. (2008). Consumer Shopping Value, Satisfaction and Loyalty in Discount Retailing. Journal of Retailing and Consumer Services, 15, 358-363. http://dx.doi.org/10.1016/j.jretconser.2007.08.003
Carr, N. (2011). The shallows: What the internet is doing to our brains. New York: W. W. Norton & Company.
Castillo, N. M., Alrawashdeh, G. S., Fyffe, S., & Azevedo, R. F. L.(2023). Exploring the impact of personalized and adaptive learning technologies on reading literacy: A global meta-analysis. Educational Research Review, 42 (1), 100587. https://doi.org/10.1016/j.edurev.2023.100587
Castillo-Canales, D., Mejías, L., Roque-Gutierrez, E., Valentini, A., & Rüebcke, J. (2023). Ed-Tech landscape and challenges in Latin America and the Caribbean . Southern Voice, 90. https://southernvoice.org/ed-tech-landscape-and-challenges-in-latin-america-and-the-caribbean/
Cavanagh, T., Chen, B., Lahcen, R.A.M., & Paradiso, J. (2020). Constructing a design framework and pedagogical approach for adaptive learning in higher education: A practitioner’s perspective. International Review of Research in Open and Distributed Learning, 21(1), 173-197. https://doi.org/10.19173/irrodl.v21i1.4557
Dunn, W. S., Mount, M. K., Barrick, M. R., & Ones, D. S. (1995). Relative importance of personality and general mental ability in managers' judgments of applicant qualifications. Journal of Applied Psychology, 80(4), 500–509. https://doi.org/10.1037/0021-9010.80.4.500
Chen, H., Wigand, R. T., & Nilan, M. (2000). Exploring Web users' optimal flow experiences. Information Technology & People, 13 (4), 263-281. https://doi.org/10.1108/09593840010359473
Chou, C.P., & Bentler, P.M. (1995). Estimates and tests in structural equation modeling. In R. H. Hoyle (Ed.). Structural equation modeling: Concepts, issues, and applications ,37 (55).Thousand Oaks: Sage.
Clarke, S. G., & Haworth, J. T. (1994). "Flow" experience in the daily lives of sixth-form college students. British Journal of Psychology, 85 (4), 511-523. https://doi.org/10.1111/j.2044-8295.1994.tb02538.x
Conway, J.C., & Rubin, A.M. (1991). Psychological predictors of television viewing motivation. Communication Research, 18, 443-463. https://doi.org/10.1177/009365091018004001
Cosgrove, S., & Curtis, B. (2022) . Understanding Global Poverty Causes, Solutions, and Capabilities. London: Routledge
Csikszentmihalyi, M. (1975). Beyond Boredom and Anxiety. San Francisco. CA: Jossey-Bass.
Csikszentmihalyi, M. (1990). Flow: The Psychology of Optimal Experience. New York: Harpercollins.
Csikszentmihalyi, M. (1997). Finding flow: The psychology of engagement with everyday life. Basic Books.
Csikszentmihalyi, M., & Larson, R. (1987). Validity and reliability of the experience-sampling method. Journal of Nervous and Mental Disease, 175 (9), 526-536. https://doi.org/10.1097/00005053-198709000-00004
Curtis, M. E. (2002). Adolescent reading: A synthesis of research. The National Institute for Literacy/National Institute of Child Health and Human Development Adolescent Literacy Workshop II, Baltimore, MD.
Dağhan, G., & Akkoyunlu,B.(2016).Modeling the continuance usage intention of online learning environments. Computers in Human Behavior, 60,198-211. https://doi.org/10.1016/j.chb.2016.02.066
Davis, M. H., Wang,W., Kingston, N. M., Hock, M., Tonks, S. M., & Tiemann, G. (2020). A computer adaptive measure of reading motivation. Journal of Research in Reading, 43 (4), 434-453. https://doi.org/10.1111/1467-9817.12318
Davis, M. H., Tonks, S. M., Hock, M., Wang, W., & Rodriguez, A. (2018). A review of reading motivation scales. Reading Psychology, 39 (2), 121-187. https://doi.org/10.1080/02702711.2017.1400482
Deci, E. L. (1971). Effects of externally mediated rewards on intrinsic motivation. Journal of Personality and Social Psychology, 18 (1), 105-115. https://doi.org/10.1037/h0030644
Deci, E. L., & Ryan, R. M. (1985). Intrinsic Motivation and Self-Determination in Human Behavior. Berlin: Springer Science & Business Media. https://doi.org/10.1007/978-1-4899-2271-7
Deng, L., Turner, D. E., Gehling, R., & Prince, B. (2010). User experience, satisfaction, and continual usage intention of IT. European Journal of Information Systems, 19 (1), 60-75. https://doi.org/10.1057/ejis.2009.50
Dewey, J. (1980). Art as experience. New York: Perigee Books.
Desmet, P. M. A., & Hekkert, P. (2007). Framework of Product Experience. International Journal of Design[Online], 1(1), 13-23. https://www.ijdesign.org/index.php/IJDesign/article/view/66/15
DeStefano, D., & LeFevre, J.A. (2007). Cognitive load in hypertext reading: A review. Computers in Human Behavior, 23 (3), 1616-1641. https://doi.org/10.1016/j.chb.2005.08.012
Dianat, I., Adeli, P., Jafarabadi, M.A., & Karimi, M.A.(2019). User-centred web design, usability and user satisfaction: The case of online banking websites in Iran. Applied Ergonomics, 81,102892. https://doi.org/10.1016/j.apergo.2019.102892
Dowson, M., & McInerney, D. M. (2001). Psychological parameters of students' social and work avoidance goals: A qualitative investigation. Journal of Educational Psychology, 93 (1), 35-42. https://doi.org/10.1037/0022-0663.93.1.35
Doll, W. J. , Xia, W.D., & Torkzadeh,G. (1994). A Confirmatory Factor Analysis of the End-User Computing Satisfaction Instrument. MIS Quarterly, 18 (4), 453-461. https://doi.org/10.2307/249524
dos Santos,W.O., Bittencourt, I.I., Isotani, S., Dermeval, D., Marques, L.B. & Silveira, I.F.(2018).Flow theory to promote learning in educational systems: Is it really relevant?. Revista Brasileira de Informática na Educação, 26 (02), 29. https://doi.org/10.5753/rbie.2018.26.02.29
Driscoll, M. (2005). Psychology of learning for instruction (3rd ed.). Boston: Pearson.
Eccles, J. S., & Roeser, R. W. (2009). Schools, academic motivation, and stage-environment fit. In R. M. Lerner & L. Steinberg (Eds.), Handbook of adolescent psychology: Individual bases of adolescent development (3rd ed., pp. 404-434). Hoboken, NJ: John Wiley & Sons. https://doi.org/10.1002/9780470479193.adlpsy001013
Efklides, A.(2006). Metacognition and affect: What can metacognitive experiences tell us about the learning process? Educational Research Review, 1 (1), 3-14. https://doi.org/10.1016/j.edurev.2005.11.001
Egger, F. N. (2003). From interactions to transactions : designing the trust experience for business-to-consumer electronic commerce. [Phd Thesis 1 (Research TU/e / Graduation TU/e), Industrial Engineering and Innovation Sciences]. Technische Universiteit Eindhoven. https://doi.org/10.6100/IR572640
Eisenberger, R., Jones, J. R., Stinglhamber, F., Shanock, L., & Randall, A. T. (2005). Flow experi- ences at work: For high need achievers alone?. Journal of Organizational Behavior, 26 (7), 755-775. https://doi.org/10.1002/job.337
El-Adl, A., & Alkharusi, H. (2020) Relationships Between Self-Regulated Learning Strategies, Learning Motivation and Mathematics Achievement. Cypriot Journal of Educational Sciences, 15, 104-111. https://doi.org/10.18844/cjes.v15i1.4461
Ennis, R. H. (1987). A taxonomy of critical thinking dispositions and abilities. In J. B. Baron & R. J. Sternberg (Eds.). Teaching thinking skills: Theory and practice, pp. 9-26. W H Freeman/Times Books/ Henry Holt & Co.
Eom, K., & Kim, H. S. (2015). Cultural psychological theory. In B. Gawronski & G. V. Bodenhausen (Eds.), Theory and explanation in social psychology (pp. 328-344). The Guilford Press.
Esteban-Millat, I., Martínez-López,F, J., Huertas-García, R., Meseguer, A., & Rodríguez-Ardura, I. (2014). Modelling students' flow experiences in an online learning environment. Computers & Education,71,111-123. https://doi.org/10.1016/j.compedu.2013.09.012.
Eysenck, M. W., & Keane, M. T. (2015). Cognitive Psychology: A Student’s Handbook. Abingdon: Psychology.
Facione, P. A. (1990). Critical thinking: A statement of expert consensus for purposes of educational assessment and instruction. The Delphi report. Millbrae. CA: California Academic.
Finneran, C. M., & Zhang, P. (2003). A person-artefact-task (PAT) model of flow antecedences in computer-mediated environments. International Journal of Human-Computer Studies, 59 (4), 475-496. https://doi.org/10.1016/S1071-5819(03)00112-5
Flavián, C., Guinalíu, M. & Gurrea, R. (2006). The role played by perceived usability, satisfaction and consumer trust on website loyalty.Information & Management, 43 (1), 1-14. https://doi.org/10.1016/j.im.2005.01.002
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. https://doi.org/10.2307/3151312
Frijda, N. H. (1986). The emotions. Cambridge University Press; Editions de la Maison des Sciences de l'Homme.
Gambrell, L. B., Palmer, B. M., Codling, R. M., & Mazzoni, S. A. (1996). Assessing motivation to read. The Reading Teacher, 49, 518-533. https://doi.org/10.1598/RT.49.7.2

Gaski, J. F., & Nevin, J. R. (1985). The differential effects of exercised and unexercised power sources in a marketing channel. Journal of Marketing Research, 22, 130-142. https://doi.org/10.2307/3151359
Garrett, J. J. (2002). The Elements of User Experience. NJ:New Riders.
Ghani, J. A., & Deshpande, S. P. (1994). Task characteristics and the experience of optimal flow in human-computer interaction. The Journal of Psychology: Interdisciplinary and Applied, 128 (4), 381-391. https://doi.org/10.1080/00223980.1994.9712742
Goodhue, D. L., & Thompson, R. L. (1995). Task-Technology Fit and Individual Performance. Mis Quarterly, 19 (2), 213-236. https://doi.org/10.2307/249689
Graesser, A. C., Singer, M., & Trabasso, T. (1994). Constructing inferences during narrative text comprehension. Psychological Review, 101 (3), 371-395. https://doi.org/10.1037/0033-295X.101.3.371
Greven, C. U., Harlaar, N., Kovas, Y., Chamorro-Premuzic, T., & Plomin, R. (2009). More Than Just IQ: School Achievement Is Predicted by Self-Perceived Abilities—But for Genetic Rather Than Environmental Reasons. Psychological Science, 20 (6), 753-762. https://doi.org/10.1111/j.1467-9280.2009.02366.x
Greussing, E., Kessler, S. H., & Boomgaarden, H. G. (2020). Learning From Science News via Interactive and Animated Data Visualizations: An Investigation Combining Eye Tracking, Online Survey, and Cued Retrospective Reporting. Science Communication, 42 (6), 803-828. https://doi.org/10.1177/1075547020962100
Guthrie, J. T., & Wigfield, A. (2000). Engagement and motivation in reading. In M. L. Kamil, P. B. Mosenthal, P. D. Pearson, & R. Barr (Eds.). Handbook of reading research, 3, 403-422. NJ: Lawrence Erlbaum Associates.
Guthrie, J. T., & Wigfield, A. (1999). How motivation fits into a science of reading. Scientific Studies of Reading, 3 (3), 199-205. https://doi.org/10.1207/s1532799xssr0303_1
Guthrie, J. T., Wigfield, A., & Perencevich, K. C. (Eds.). (2004). Motivating reading comprehension: Concept-oriented reading instruction. NJ: Lawrence Erlbaum Associates.
Guthrie, J. T., Mcrae, A., & Klauda, S. L. (2007). Contributions of Concept-Oriented Reading Instruction to Knowledge About Interventions for Motivations in Reading. Educational Psychologist, 42 (4), 237-250. https://doi.org/10.1080/00461520701621087
Guo, Y. M., & Poole, M. S. (2009). Antecedents of flow in online shopping: A test of alternative models. Information Systems Journal, 19 (4), 369-390. https://doi.org/10.1111/j.1365-2575.2007.00292.x
Guo,Z.X., Xiao, L., Toorn, C.V., Lai,Y., & Seo, C. (2016). Promoting online learners’ continuance intention: An integrated flow framework. Information & Management, 53 (2), 279-295. https://doi.org/10.1016/j.im.2015.10.010
Hartmann, J., Sutcliffe, A., & Angeli, A. (2008). Towards a theory of user judgment of aesthetics and user interface quality. ACM Transactions on Computer-Human Interaction, 15 (4),1-30, https://doi.org/10.1145/1460355.1460357
Hattie, J. (2009). Visible Learning: A Synthesis of Over 800 Meta-Analyses Relating to Achievement. London: Routledge.
Hassenzahl, M., Law, E.L.C., Roto, V., Vermeeren, A.P.O.S.& Kort, J. (2009). Understanding, scoping and defining user experience: A survey approach. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 719-728. https://doi.org/10.1145/1518701.1518813
Hassenzahl, M., & Tractinsky, N. (2011). User experience-a research agenda. Behaviour & Information Technology, 25 (2), 91-97. https://doi.org/10.1080/01449290500330331
Hassenzahl, M., & Ullrich, D. (2007). To do or not to do: Differences in user experience and retrospective judgments depending on the presence or absence of instrumental goals. Interacting with Computers, 19 (4), 429-437. https://doi.org/10.1016/j.intcom.2007.05.001
Hassenzahl, M., Koller, F., & Burmester, M.(2011). AttrakDiff: Questionnaire. https://www.attrakdiff.de/index-en.html#hello
Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate data analysis (5th ed.). New York: Macmillan.
Henk, W. A., & Melnick, S.A.(1995).The Reader Self-Perception Scale (RSPS): A new tool for measuring how children feel about themselves as readers.The Reading Teacher,48 (6),470-482. http://www.jstor.org/stable/20201471
Huang, H.Y., Lin, W.L., Hung, H.C., & Young, S.S.C. (2011). Exploring technology use behavior - A case study of adopting e-readers into higher education classroom. In Z. Jianping & C. Dehuai (Eds.). Proceedings of Global Chinese Conference on Computers in Education 2011 (GCCCE 2011) .1313-1316. Hangzhou, China: Zhejiang University.
Huang, H. M., & Liaw, S. S. (2018). An Analysis of Learners’ Intentions Toward Virtual Reality Learning Based on Constructivist and Technology Acceptance Approaches. The International Review of Research in Open and Distributed Learning, 19 (1). https://doi.org/10.19173/irrodl.v19i1.2503
Hidi, S., & Renninger, K. A. (2006). The Four-Phase Model of Interest Development. Educational Psychologist, 41 (2), 111-127. https://doi.org/10.1207/s15326985ep4102_4
Hill, J. M., Re. D. (1993). Flow and anti-flow in the university classroom teaching experience [Diss.]. Indiana: Indiana University.
Hovy, D., Johannsen, A. & Søgaard, A. (2015). User Review Sites as a Resource for Large-Scale Sociolinguistic Studies. Proceedings of the 24th International Conference on World Wide Web (WWW '15). International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva, CHE, 452-461. https://doi.org/10.1145/2736277.2741141
Hartmann, J., Sutcliffe, A.G., & Angeli, A.D.(2008). Towards a theory of user judgment of aesthetics and user interface quality. ACM Transactions on Computer-Human Interaction, 15 (4), 15(1-30). https://doi.org/10.1145/1460355.1460357
International Association for the Evaluation of Educational Achievement (IEA). (2021). The Global Assessment of Student Digital Literacy.
Jackson, R. W., & Harwell, J. M.(2008). The complete learning disabilities handbook. San Francisco, CA: Jossey-Bass.
Jackson, S. A., & Roberts, G. C. (1992). Positive performance states of athletes: Toward a conceptual understanding of peak performance. The Sport Psychologist, 6 (2), 156-171. https://doi.org/10.1123/tsp.6.2.156
Jackson, S.A., & Csikszentmihalyi, M. (1999). Flow in sports: The keys to optimal experiences and performances. Human Kinetics Books.
Jackson, S. A., & Marsh, H. W. (1996). Development and Validation of a Scale to Measure Optimal Experience: The Flow State Scale. Journal of Sport & Exercise Psychology, 18, 17-35. https://doi.org/10.1123/jsep.18.1.17
Jerrim, J., Micklewright, J., Heine, J.-H., Sälzer, C., & McKeown, C. (2018). PISA 2015: how big is the ‘mode effect’ and what has been done about it? Oxford Review of Education, 44 (4), 476-493. https://doi.org/10.1080/03054985.2018.1430025
Jerrim, J., Parker, P., Choi, A., Chmielewski, A. K., Sälzer, C., & Shure, N. (2018). How robust are cross-country comparisons of PISA scores to the scaling model used? Special Issue:Issues in Large Scale International Assessment, 37 (4), 28-39. https://doi.org/10.1111/emip.12211
JLIS-圖書資訊學刊. (2018). https://vocus.cc/article/5bf3b381fd89780001351c62
Jonassen, D. H., & Grabowski, B. L. (1993). Handbook of individual differences, learning, and instruction. Mahwah, New Jersey: Lawrence Erlbaum Associates.
Jones, A. P., & James, L. R. (1979). Psychological climate: Dimensions and relationships of individual and aggregated work environment perceptions. Organizational Behavior & Human Performance, 23(2), 201–250. https://doi.org/10.1016/0030-5073(79)90056-4
Jöreskog, K. G., & Sörbom, D. (1993). LISREL 8: Structural equation modeling with the SIMPLIS command language. Scientific Software International, New Jersey: Lawrence Erlbaum Associates.
Karapanos, E., Zimmerman, J., Forlizzi, J., & Martens, J.B. (2009). User experience over time: an initial framework. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 729-738. https://doi.org/10.1145/1518701.1518814
Kahneman, D., Diener, E., & Schwarz, N. (Eds.). (1999). Well-being: The foundations of hedonic psychology. Russell Sage Foundation.
Kamil, M. L. (2003). Adolescents and literacy: Reading for the 21st century. Alliance for Excellent Education. http://all4ed.org/wp-45content/uploads/AdolescentsAndLiteracy.pdf
Kircaburun, K., Alhabash, S., Tosuntaş, Ş. B., & Griffiths, M. D. (2020). Uses and gratifications of problematic social media use among university students: A simultaneous examination of the big five of personality traits, social media platforms, and social media use motives. International Journal of Mental Health and Addiction, 18 (3), 525-547. https://doi.org/10.1007/s11469-018-9940-6
Kim, M., & Thapa, B. (2018). Perceived value and flow experience: Application in a nature-based tourism context. Journal of Destination Marketing & Management, 8 , 373-384. https://doi.org/10.1016/j.jdmm.2017.08.002
Kimiecik, J. C., & Stein, G. L. (1992). Examining flow experiences in sport contexts: Conceptual issues and methodological concerns. Journal of Applied Sport Psychology, 4 (2), 144-160. https://doi.org/10.1080/10413209208406458
Kiili, K., Freitas, S. d., Arnab, S., & Lainema,T. (2012). The Design Principles for Flow Experience in Educational Games. Procedia Computer Science. 15, 78-91. https://doi.org/10.1016/j.procs.2012.10.060
Kingston, N. M. &Wang, W.H.. (2018). Adaptive Testing With a Hierarchical Item Response Theory Model. Psychological Measurement, 43 (1), 51-67. https://doi.org/10.1177/0146621618765714
Knight, J. F., & Baber, C. (2005). A Tool to Assess the Comfort of Wearable Computers. Human Factors, 47 (1), 77-91. https://doi.org/10.1518/0018720053653875
Koufaris, M. (2002) Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior. Information Systems Research, 13, 205-223. http://dx.doi.org/10.1287/isre.13.2.205.83
Krug, S. (2000). Don't Make Me Think. NJ: New Riders
Kurt, S. (2021). Adaptive Learning: What is It, What are its Benefits and How Does it Work? Educational Technology. https://educationaltechnology.net/adaptive-learning-what-is-it-what-are-its-benefits-and-how-does-it-work/
Kuo,B. C. (2018). Using LSA-based tools to enhance students’ Chinese reading ability. International Journal on Digital Learning Technology,10 (1), 31-55. https://doi.org/10.3966/2071260X2018011001002
Kwak, K. T., Choi, S. K., & Lee, B. G. (2014). SNS flow, SNS self-disclosure and post hoc interpersonal relations change: Focused on Korean Facebook user. Computers in Human Behavior, 31(1), 294-304. https://doi.org/10.1016/j.chb.2013.10.046
Lallemand, C., Koenig, V., Gronier, G., & Martin, R. (2015). Création et validation d’une version française du questionnaire AttrakDiff pour l’évaluation de l’expérience utilisateur des systèmes interactifs A French version of the AttrakDiff scale: Translation and validation study of a user experience assessment tool. European Review of Applied Psychology, 65, 239-252. https://doi.org/10.1016/j.erap.2015.08.002
Larson, L. C. (2011). Digital Readers: The Next Chapter in E-Book Reading and Response. The Reading Teacher, 64 (1), 15-22. https://doi.org/10.1598/RT.64.1.2
Law, E.L., Roto, V., Vermeeren, A.P., & Hoonhout, J. (2011). Demarcating User Experience Dagstuhl Seminar. https://www.dagstuhl.de/10373
Law, R., Qi, S., & Buhalis, D. (2010) Progress in Tourism Management: A Review of Website Evaluation in Tourism Research. Tourism Management, 31, 297-313. https://doi.org/10.1016/j.tourman.2009.11.007
Laugwitz, B., Schrepp, M., & Held, T. (2008). Construction and evaluation of a user experience questionnaire. Symposium of the Austrian HCI and Usability Engineering Group, 5298, 63-76. https://doi.org/10.1007/978-3-540-89350-9_6
Laksono, M., Kusumawardani, S., & Ferdiana, R. (2019). Evaluating user experience on E-learning using the user experience questionnaire (UEQ) with Additional Functional Scale. Proceedings of the International Conferences on Information System and Technology, 18-24. https://doi.org/10.5220/0009339900180024
Laurillard. D. (2012). Teaching as a Design Science-Building Pedagogical Patterns for Learning and Technology. New York: Routledge.
Leu, D. J., Kinzer, C. K., Coiro, J. L., & Cammack, D. W. (2004). Toward a Theory of New Literacies Emerging from the Internet and Other Information and Communication Technologies. In R. B. Ruddell, & N. J. Unrau (Eds.), Theoretical Models and Processes of Reading (5th ed., p. 1570). Newark, DE: International Reading Association.
Lee, G. L., Luo, T.,& Molina, C. (2017). Incorporating Istation into early childhood classrooms to improve reading comprehension. Journal of Information Technology Education: Research, 16, 247-266. https://doi.org/10.28945/3788
LeFevre, J. (1988). Flow and the quality of experience during work and leisure. In M. Csikszentmihalyi & I. S. Csikszentmihalyi (Eds.), Optimal experience: Psychological studies of flow in consciousness (pp. 307–318). Cambridge University Press.
Liao, S.X., Yu, L.L., Kruger, J. L., & Reichle, E.D. (2023). Dynamic reading in a digital age: New insights on cognition. Trends in Cognitive Sciences, 28 (1) , 43-55. https://doi.org/10.1016/j.tics.2023.08.002
Lindsey, R.V., Shroyer, J.D., Pashler, H., & Mozer, M.C. (2014). Improving students’ long-term knowledge retention through personalized review. Psychological Science, 25 (3), 639-647. https://doi.org/10.1177/0956797613504302
Linnenbrink, E. A., & Pintrich, P. R. (2003). The role of self-efficacy beliefs in student engagement and learning in the classroom. Reading & Writing Quarterly: Overcoming Learning Difficulties, 19 (2), 119-137. https://doi.org/10.1080/10573560308223
Lidwell,W. (2010). Universal Principles of Design. Beverly: Rockport.
Lu,Y.L., & Gordon,C.A. . (2007). Reading Takes You Places: A Study of a Web-Based Summer Reading Program. 2007: IASL Conference Proceedings (Taipei, Taiwan): Cyberspace, D-world, E-Learning: Giving Libraries and Schools the Cutting Edge. https://doi.org/10.29173/iasl7607
Lyubomirsky, S., King, L., & Diener, E. (2005). The Benefits of Frequent Positive Affect: Does Happiness Lead to Success? Psychological Bulletin, 131 (6), 803-855. https://doi.org/10.1037/0033-2909.131.6.803
MacCallum, R.C., & Hong, S. (1997). Power Analysis in Covariance Structure Modeling Using GFI and AGFI. Multivariate Behavioral Research, 32, 193-210. http://doi.org/10.1207/s15327906mbr3202_5
Malone,T.W. (1981).Toward a theory of intrinsically motivating instruction.Cognitive Science,5 (4), 333-369. https://doi.org/10.1016/S0364-0213(81)80017-1
Marty-Dugas, J., & Smilek, D. (2019). Deep, effortless concentration: re-examining the flow concept and exploring relations with inattention, absorption, and personality. Psychological Research 83, 1760-1777 . https://doi.org/10.1007/s00426-018-1031-6
Mathewson, G. C. (1994). Model of attitude influence upon reading and learning to read. In R. B. Ruddell, M. R. Ruddell, & H. Singer (Eds.), Theoretical models and processes of reading. (4th ed., pp. 1131-1161). Newark, DE: International Reading Association.
Mayer, R. E. (2001). Multimedia learning. London：Cambridge University.
Marinova, D., de Ruyter, K., Huang, M.-H., Meuter, M. L., & Challagalla, G. (2017). Getting Smart: Learning From Technology-Empowered Frontline Interactions. Journal of Service Research, 20 (1), 29-42. https://doi.org/10.1177/1094670516679273
Malloy, J. A., Marinak, B. A., Gambrell, L. B., & Mazzoni, S. A .(2013).Assessing Motivation to Read. The Reading Teacher,67 (4), 273-282. https://doi.org/10.1598/JAAL.50.5.5
Massimini, F., & Carli, M. (1988). The systematic assessment of flow in daily experience. In M. Csikszentmihalyi & I. S. Csikszentmihalyi (Eds.), Optimal experience: Psychological studies of flow in consciousness (pp. 266-287). Cambridge University Press.
Maslow, A. (1971). The Farther Reaches of Human Nature. The Viking Press.
McKenna, M.C., Stratton,B.D., Grindler, M.C., & Jenkins, S. (1995). Differential Effects of Whole Language and Traditional Instruction on Reading Attitudes. Journal of Literacy Research, 27 (1). https://doi.org/10.1080/10862969509547867
McGuire, R. (2021). What is adaptive learning and how does it work to promote equity in higher education. Every Learner Everywhere. https://www.everylearnereverywhere.org/blog/what-is-adaptive-learning-and-how-does-it-work-to-promote-equity-in-higher-education/
McGeown, S. P., Norgate, R., & Warhurst, A. (2012). Exploring intrinsic and extrinsic reading motivation among very good and very poor readers. Educational Research, 54 (3), 309-322. https://doi.org/10.1080/00131881.2012.710089
Meece, J. L., Anderman, E. M., & Anderman, L. H. (2006). Classroom Goal Structure, Student Motivation, and Academic Achievement. Annual Review of Psychology, 57,487-503. https://doi.org/10.1146/annurev.psych.56.091103.070258
Meyer,C., & Schwager, A. (2017). Understanding Customer Experience. Harvard Business Review. https://hbr.org/2007/02/understanding-customer-experience
McKenna, M. C., Kear, D. J., & Ellsworth, R. A. (1995). Children’s attitudes toward reading: A national survey. Reading Research Quarterly, 30 (4), 934-956. https://doi.org/10.2307/748205
Meece, J. L., Blumenfeld, P. C., & Hoyle, R. H. (1988). Students' goal orientations and cognitive engagement in classroom activities. Journal of Educational Psychology, 80 (4), 514-523. https://doi.org/10.1037/0022-0663.80.4.514
Memon, M. A., Ting, H., Cheah, J.H., Thurasamy, R., Chuah, F., & Cham,T. H. (2020). Sample size for survey research: Review and recommendations. Journal of Applied Structural Equation Modeling, 4 (2), 1-20. https://doi.org/10.47263/JASEM.4(2)01
Midgley, C., & Urdan, T. (2001). Academic self-handicapping and achievement goals: A further examination. Contemporary Educational Psychology, 26 (1), 61-75. https://doi.org/10.1006/ceps.2000.1041
Minge, M., & Riedel, L. (2013). meCUE–Ein modularer Fragebogen zur Erfassung des Nutzungserlebens. S. Boll, S.Maaß & R. Malaka (Hrsg.): Mensch und Computer 2013: Interaktive Vielfalt (S. 89-98). München, Oldenbourg Verlag.
Moos, D. C., & Marroquin, E. (2010). Multimedia, hypermedia, and hypertext: Motivation considered and reconsidered. Computers in Human Behavior, 26 (3), 265-276. https://doi.org/10.1016/j.chb.2009.11.004
Moje, E.B., Afflerbach,P.P., Enciso,P., & Lesaux, N. K. (2020). Handbook of Reading Research. New York: Routledge. https://doi.org/10.4324/9781315676302
Muylle, S., Moenaert, R., Despontin, M. (2004). The conceptualization and empirical validation of web site user satisfaction. Information & Management, 41 (5), 543-560. https://doi.org/10.1016/S0378-7206(03)00089-2
National Reading Panel. (2000). Teaching children to read: An evidence-based assessment of the scientific research literature on reading and its implications for reading instruction. National Institute of Child Health and Human Development. https://www.nichd.nih.gov/publications/pubs/nrp/documents/report.pdf
Novak, T. P., Hoffman, D. L. & Yung, Y. F . (2000). Measuring the Customer Experience in Online Environments: A Structural Modeling Approach. Marketing Science, 19 (1), 22-42 (21). https://www.jstor.org/stable/193257
Novabosa, C.R., Matiasa, A., & Mena, M.(2015). How good is this destination website: A user-centered evaluation of provincial tourism websites. Procedia Manufacturing, 3, 3478-3485. https://doi.org/10.1016/j.promfg.2015.07.655
Norman, D., & Spohrer, J.C. (1996). Learner-centered education.Communications of th ACM, 39 (4),pp. 24-27. https://dl.acm.org/doi/pdf/10.1145/227210.227215
Norman, D. (2005). Emotional Design. New York: Basic Books.
Norman, D. (2004). Emotional design: Why we love (or hate) everyday things. New York: Basic Books.
Norusis, J. M. (1993). SPSS for Windows Advanced Statistics. Release 6.0. Chicago, IL: SPSS Inc.
OECD. (2021). PISA 2021 Results (II): Where All Students Can Succeed.
O'Hara, D. (2017). The intrinsic motivation of Richard Ryan and Edward Deci. American Psychological Association. https://www.apa.org/members/content/intrinsic-motivation
Paunonen, S. V. & O'Connor, M. C.(2007). Big Five personality predictors of post-secondary academic performance. Personality and Individual Differences, 43 (5), 971-990. https://doi.org/10.1016/j.paid.2007.03.017
Pace, S. (2004). A grounded theory of the flow experiences of Web users. International Journal of Human-Computer Studies, 60 (3), 327-363. https://doi.org/10.1016/j.ijhcs.2003.08.005
Payne, B. R., Jackson, J. J., Noh, S. R., & Stine-Morrow, E. A. (2011). In the zone: flow state and cognition in older adults. Psychology and aging, 26 (3), 738. https://doi.org/10.1037/a0022359
Pavlas, D., Heyne, K., Bedwell, W., Lazzara, E., & Salas, E. (2010). Game-based learn- ing: The impact of flow state and videogame self-efficacy. Proceedings of the human factors and ergonomics society annual meeting,54 (28), pp. 2398-2402). Sage CA: Los Ange- les, CA: SAGE. Publications.https://doi.org/10.1177/154193121005402808
Paris, S. G., & Flukes, J. (2005). Assessing Children's Metacognition About Strategic Reading. In S. E. Israel, C. C. Block, K. L. Bauserman, & K. Kinnucan-Welsch (Eds.), Metacognition in literacy learning: Theory, assessment, instruction, and professional development, 121-139. Lawrence Erlbaum Associates.
Paris, S. G., & Oka, E. R. (1986). Children’s reading strategies, metacognition, and motivation. Developmental Review, 6, 25-56. https://doi.org/10.1016/0273-2297(86)90002-X
Papousek, J., Pelánek, R., & Stanislav, V. (2014). Adaptive Practice of Facts in Domains with Varied Prior Knowledge. Educational Data Mining. https://www.fi.muni.cz/~xpelanek/publications/EDM14-adaptive-facts.pdf
Perfetti, C. A. (1999). Cognitive research and the misconceptions of reading education. In J. Oakhill & R. Beard (Eds.), Reading development and the teaching of reading: A psychological perspective (pp. 42-58). Blackwell Science.
Peters, D., Calvo,R.A., Ryan, R.M. (2018).Designing for Motivation, Engagement and Wellbeing in Digital Experience.Front. Psychol, 9 (797) . https://doi.org/10.3389/fpsyg.2018.00797
Pitcher, S. M., Albright, L. K., DeLaney,C. J., Walker, N.T., Seunarinesingh, K., Mogge, S., Headley, K. N., Ridgeway, V. G., Peck, S., Hunt, R., & Dunston, P. J.(2011). Assessing Adolescents' Motivation to Read. Journal of Adolescent & Adult Literacy, 50 (5), 378-396. https://doi.org/10.1598/JAAL.50.5.5
Plass, J. L., Heidig, S., Hayward, E. O., Homer, B. D., & Um, E.(2014). Emotional design in multimedia learning: Effects of shape and color on affect and learning. Learning and Instruction, 29, 128-140. https://doi.org/10.1016/j.learninstruc.2013.02.006
Pressley, M., & Afflerbach, P. (1995). Verbal protocols of reading: The nature of constructively responsive reading. NJ: Lawrence Erlbaum Associates.
Preece, J., Rogers, Y., & Sharp, H. (2002). Interaction Design: Beyond Human-Computer Interaction. New York: John Wiley & Sons.
Piaget, J. (1964) Part 1: Cognitive development in children: Piaget development and learning. Journal of Research in Science Teaching, 2 (3), 176-186. https://doi.org/10.1002/tea.3660020306
Pintrich, P. R. (2000). The role of goal orientation in self-regulated learning. In M., Boekaerts & P. R., Pintrich (Eds.), Handbook of self-regulation (pp.13-39). San Diego, CA: Academic.
Puzziferro, M. (2008). Online Technologies Self-Efficacy and Self-Regulated Learning as Predictors of Final Grade and Satisfaction in College-Level Online Courses. American Journal of Distance Education, 22 (2), 72-89. https://doi.org/10.1080/08923640802039024
Putman, R. S. (2017). Technology versus teachers in the early literacy classroom: An investigation of the effectiveness of the Istation integrated learning system. Educational Technology Research and Development, 65 (5), 1153-1174. https://doi.org/10.1007/ s11423-016-9499-5
RAND (Reading Study Group). (2002). Reading for understanding: Toward an R & D program in reading comprehension. Santa Monica, CA: RAND.
Ratcliff, R. (2001). Putting noise into neurophysiological models of simple decision making. Nat Neurosci 4, 336. https://doi.org/10.1038/85956
R Core Team (2024). R: A language and environment for statistical computing. R Foundation for Statistical Computing. Vienna, Austria. URL https://www.R-project.org/
Retelsdorf, J., Köller, O., & Möller, J. (2014). Reading achievement and reading self-concept—Testing the reciprocal effects model. Learning and Instruction, 29, 21-30. https://doi.org/10.1016/j.learninstruc.2013.07.004
Reigeluth, C.M., Beatty,B.J., Myers, R.D.(2017). Instructional-Design Theories and Models: the Learner-Centered Paradigm of Education, 5-32. New York & London: Routledge.
Renninger, K. A., Krapp, A., & Hidi, S.(1992). Interest, learning, and development. In K. A. Renninger, S. Hidi, & A. Krapp (Eds.). The role of interest in learning and development, 3 (25). NJ: Lawrence Erlbaum Associates.
Richardson, A. (1977). The meaning and measurement of memory imagery. British Journal of Psychology, 68 (1), 29-43. https://doi.org/10.1111/j.2044-8295.1977.tb01556.x
Rohles, B., Backes, S., Fischbach, A., Amadieu, F., & Koenig, V. (2022). Creating positive learning experiences with technology: A field study on the effects of user experience for digital concept mapping. Heliyon, 8 (4), e09246. https://doi.org/10.1016/j.heliyon.2022.e09246
Rowe, T. (2022) .TCEA 2022: Online Learning Success Starts with a Strong Foundation. EdTech. https://edtechmagazine.com/k12/article/2022/02/tcea-2022-online-learning-success-starts-strong-foundation
Roto,V., Law, E., Vermeeren, A., & Hoonhout, J. (2010).Demarcating User Experience Dagstuhl Seminar. https://drops.dagstuhl.de/storage/16dagstuhl-seminar-proceedings/dsp-vol10373/DagSemProc.10373.1/DagSemProc.10373.1.pdf
Robitzsch, A., & Lüdtke, O. (2019). Linking errors in international large-scale assessments: Calculation of standard errors for trend estimation. Assessment in Education: Principles, Policy & Practice, 26 (4), 444-465. https://doi.org/10.1080/0969594X.2018.1433633
Rogers,Y., Sharp, H., & Preece, J. (2019). Interaction Design: Beyond Human-Computer Interaction. New York: Wiley.
Roto,V., Law,E.,Vermeeren,A.,Hoonhout, J.(2017).User experience white paper: Bringing clarity to the concept of user experience .Available online:http://www.allaboutux.org/files/UX-WhitePaper.pdf
Rovai, A.P. (2003). In search of higher persistence rates in distance education online programs. The Internet and Higher Education,6 (1), 1-16. https://doi.org/10.1016/S1096-7516(02)00158-6
Rosseel, Y. (2023). lavaan: An R package for structural equation modeling. Journal of Statistical Software, 48 (2), 1-36. URL http://www.jstatsoft.org/v48/i02/
Richek, M.A.(1989). Reading problems: Assessment and teacging strategies. New Jersey: Prentice-Hall.
Russell, J. A. (2003). Core affect and the psychological construction of emotion. Psychological Review, 110 (1), 145-172. https://doi.org/10.1037/0033-295X.110.1.145
Ryan, R. M., & Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55 (1), 68-78. https://doi.org/10.1037/0003-066X.55.1.68
Sand W. A., Water, B. K., & McBride, J. R. (Eds.) (1997). Computerized adaptive testing: from inquiry to operation. Washington. DC: American Psychological Association.
Saeed, K.A., Wu, D.Z., & Xu, D.J. (2024). Effect of Designer- versus User-driven Network-monitoring Dashboard Design on User Flow Experience and Performance: The Role of Augmented Virtuality. Information & Management, 61 (3). https://doi.org/10.1016/j.im.2024.103926
Sauro, J. (2015) . SUPR-Q: A Comprehensive Measure of the Quality of the Website User Experience. Journal of Usability Studies, 2 (10), 68-86.
Saffer, D. (2013). Microinteractions. Sebastopol. CA: O'Reilly Media.
Saleh, A. M., Abuaddous, H. Y., Alansari, I. S., & Enaizan, O. . (2022). The Evaluation of User Experience on Learning Management Systems Using UEQ . International Journal of Emerging Technologies in Learning (iJET), 17 (07), pp. 145-162. https://doi.org/10.3991/ijet.v17i07.29525
Salmerón, L., Altamura, L., Delgado, P., Karagiorgi, A., & Vargas, C. (2024). Reading comprehension on handheld devices versus on paper: A narrative review and meta-analysis of the medium effect and its moderators. Journal of Educational Psychology, 116 (2), 153-172. https://doi.org/10.1037/edu0000830
Schrepp, M. (2015). User Experience Questionnaire Handbook. https://doi.org/10.13140/RG.2.1.2815.0245
Schraw, G., Flowerday, T., & Lehman, S. (2001). Increasing situational interest in the classroom. Educational Psychology Review, 13 (3), 211-224. https://doi.org/10.1023/A:1016619705184
Schunk, D. H. (2003). Self-efficacy for reading and writing: Influence of modeling, goal setting, and self-evaluation. Reading & Writing Quarterly: Overcoming Learning Difficulties, 19 (2), 159-172. https://doi.org/10.1080/10573560308219
Schultz, J., Peesapati, S. T., Schwanda,V., Lepage, M., Jeong, S., & Cosley, D. (2010). Pensieve: supporting everyday reminiscence. CHI '10: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2027-2036. https://doi.org/10.1145/1753326.1753635
Schunk, D. H., & Zimmerman, B. J. (Eds.). (2008). Motivation and self-regulated learning: Theory, research, and applications. NJ: Lawrence Erlbaum Associates.
Schunk, D. H. & Pintrich, P. R. (2002). Motivation in Education. Englewood Cliffs, NJ: Prentice Hall.
Schunk, D. H., & Pajares, F. (2002). The development of academic self-efficacy. In A. Wigfield & J. S. Eccles (Eds.), Development of achievement motivation (pp. 15-31). Academic Press. https://doi.org/10.1016/B978-012750053-9/50003-6
Schunk, D. H., Pintrich, P. R., & Meece, J. L. (2008). Motivation in education: theory, research, and applications (3rd ed.). Upper Saddle River, N.J.: Pearson/Merrill Prentice Hall.
Schaffner, E., Philipp, M., & Schiefele, U. (2016). Reciprocal effects between intrinsic reading motivation and reading competence? A cross‐lagged panel model for academic track and nonacademic track students. Journal of Research in Reading, 39 (1), 19-36. https://doi.org/10.1111/1467-9817.12027
Schiefele, U. (1996). Topic interest, text representation, and quality of experience. Contemporary Educational Psychology, 21 (1), 3-18. https://doi.org/10.1006/ceps.1996.0002
Schiefele, U., Schaffner, E., Möller, J., & Wigfield, A. (2012). Dimensions of Reading Motivation and Their Relation to Reading Behavior and Competence. Reading Research Quarterly, 47 (4), 427-463. https://doi.org/10.1002/rrq.030
Schrepp, M., Hinderks, A., & Thomaschewski, J. (2017). Design and evaluation of a short version of the user experience questionnaire(UEQ-S). IJIMAI journal,4 (6), 103-108. https://doi.org/10.9781/ijimai.2017.09.001
Schrepp, M., Hinderks, A., & Thomaschewski, J. (2014). Applying the User Experience Questionnaire (UEQ) in Different Evaluation Scenarios. In: Marcus, A. (eds) Design, User Experience, and Usability. Theories, Methods, and Tools for Designing the User Experience. DUXU 2014. Lecture Notes in Computer Science, 8517, 383-392. Springer, Cham. https://doi.org/10.1007/978-3-319-07668-3_37
Schneider, B. (2008). Review of Experience sampling method: Measuring the quality of everyday life [Review of the book Experience sampling method: Measuring the quality of everyday life, by J. M. Hektner, J. Schmidt & M. Csikszentmihalyi]. European Psychologist, 13 (2), 152-153. https://doi.org/10.1027/1016-9040.13.2.152
Schwabe, A., Lind, F., Kosch, L., & Boomgaarden, H. G. (2022). No Negative Effects of Reading on Screen on Comprehension of Narrative Texts Compared to Print: A Meta-analysis. Media Psychology, 25(6), 779-796. https://doi.org/10.1080/15213269.2022.2070216
Settles, B., & Meeder, B. (2016). A Trainable Spaced Repetition Model for Language Learning. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 1,1848-1858. Berlin, Germany: Association for Computational Linguistics. https://doi.org/10.18653/v1/P16-1174
Seifert, T., Radu, O., & Doyle, A. (2011). Flow: An emotional experience in mathematics problem solving. In B. Sriraman & V. Freiman (Eds.), Interdisciplinarity for the twenty-first century: Proceedings of the Third International Symposium on Mathematics and Its Connections to Arts and Sciences, Moncton 2009 (pp. 139-154). IAP Information Age Publishing.
Shamir, H., Yoder, E. H., Pocklington, D. B., & Feehan, K. C.(2019). Computer-Assisted Instruction: Long-Term Effects on Early Literacy Skills of Low Socioeconomic Status Students. International Journal of Information and Education Technology, 9 (4), 263-267. https://doi.org/10.18178/ijiet.2019.9.4.1210
Sheldon, K. M., Elliot, A. J., Kim, Y., & Kasser, T. (2001). What is satisfying about satisfying events? Testing 10 candidate psychological needs. Journal of Personality and Social Psychology, 80 (2), 325-339. https://doi.org/10.1037/0022-3514.80.2.325
Sinnamon, S., Moran, A., & O’Connell, M. (2012). Flow among musicians: measuring peak experi- ences of student performers. Journal of Research in Music Education, 60 (1), 6-25. https://doi.org/10.1177/0022429411434931
Siekpe, J. S.(2005) An Examination of the Multidimensionality of Flow Construct in a Computer-Mediated environment. Journal of Electronic Commerce Research, 6 (1), 31-43. http://www.jecr.org/sites/default/files/06_1_p02.pdf
Singer, L. M., & Alexander, P. A. (2017). Reading on paper and digitally: What the past decades of empirical research reveal. Review of Educational Research, 87 (6), 1007-1041. https://doi.org/10.3102/0034654317722961
SmartReading. https://smartreading.net/v3/index.aspx
Swaminathan,V., White,E. L., & Rao, B. P. (1999). Browsers or Buyers in Cyberspace? an Investigation of Factors Influencing Electronic Exchange. Journal of Computer-Mediated Communication, 5 (2), JCMC523 . https://doi.org/10.1111/j.1083-6101.1999.tb00335.x
Stanovich, K. E. (1980). Toward an Interactive-Compensatory Model of Individual Differences in the Development of Reading Fluency. Reading Research Quarterly, 16 (1), 32-71. http://www.keithstanovich.com/Site/Research_on_Reading_files/Stanovich_RRQ_1980.pdf
Tandon, U., Kiran, R., & Sah, A.N. (2016) Customer Satisfaction Using Website Functionality, Perceived Usability and Perceived Usefulness towards Online Shopping in India. Information Development, 32, 1657-1673. https://doi.org/10.1177/0266666915621106
Teeroovengadum, V. (2020). Service Quality Dimensions as Predictors of Customer Satisfaction and Loyalty in the Banking Industry: Moderating Effects of Gender. European Business Review, 34 (1),1-19. https://doi.org/10.1108/EBR-10-2019-0270
Tian, A. D., Schroeder, J., Häubl, G., Risen, J. L., Norton, M. I., & Gino, F. (2018). Enacting rituals to improve self-control. Journal of Personality and Social Psychology, 114 (6), 851-876. https://doi.org/10.1037/pspa0000113 (Retraction published 2024, Journal of Personality and Social Psychology, 126[2], 281)
Tien, L.C., Chiou, C.C., & Lee, Y.S. (2018). Emotional Design in Multimedia Learning: Effects of Multidimensional Concept Maps and Animation on Affect and Learning. Eurasia Journal of Mathematics, Science and Technology Education, 14 (12), em1612. https://doi.org/10.29333/ejmste/94229
Trevino, L. K., Webster, J.& Ryan, L. (1993). The dimensionality and correlates of flow in human-computer interactions. Computers in Human Behavior, 9 (4), 411-426. https://doi.org/10.1016/0747-5632(93)90032-N
Unrau, N. J., Alvermann, D. E. & Sailors, Misty. (2013). Theoretical Models and Processes of Reading. Newark: Intl Literacy Assn.
Venkatesh, V., & Davis, F. D. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2), 186–204. http://www.jstor.org/stable/2634758
Venkatesh,V., Morris, M. G., Davis, G.B., & Davis, F. D. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27 (3), 425-478 (54). https://doi.org/10.2307/30036540
Vrugt, A., & Oort, F. J. (2008). Metacognition, achievement goals, study strategies and academic achievement: Pathways to achievement. Metacognition and Learning, 3 (2), 123-146. https://doi.org/10.1007/s11409-008-9022-4
Vygotsky, L. S. (1980). Mind in society: The development of higher psychological processes. Cambridge, MA: Harvard University.

Wainer, H., Dorans, N. J., Flaugher, R., Green, B. F., Mislevy, R. J., Steinberg, L., & Thissen, D. (2000). Computerized Adaptive Testing: A Primer (2nd ed.). NJ: Lawrence Erlbaum Associates.
Waugh, M. & Su-Searle, J. (2014). Student Persistence and Attrition in an Online M. S. Program: Implications for Program Design. International Journal on E-Learning, 13 (1), 101-121. Waynesville, NC USA: Association for the Advancement of Computing in Education (AACE). https://www.learntechlib.org/primary/p/38649/.
Wannheden,C., Stenfors,T., Stenling, A.&von Thiele Schwarz, U. (2021).Satisfied or Frustrated? A Qualitative Analysis of Need Satisfying and Need Frustrating Experiences of Engaging With Digital Health Technology in Chronic Care. Front. Public Health, 8 (623773). https://doi.org/10.3389/fpubh.2020.623773
Weiss, D. J. (Ed.) (1985). Item response theory and computerized adaptive testing conference proceedings. MN: University of Minnesota press.
Westland J. C. (2010). Lower bounds on sample size in structural equation modeling. Electronic Commerce Research and Applications, 9 (6), 476-487. https://doi.org/10.1016/j.elerap.2010.07.003
Wigfield, A. (1996). A questionnaire measure of children's motivations for reading. Instructional Resource No. 22 (ED394137). ERIC. https://eric.ed.gov/?id=ED394137
Wigfield, A., & Guthrie, J. T. (1997). Relations of children's motivation for reading to the amount and breadth or their reading. Journal of Educational Psychology, 89 (3), 420-432. https://doi.org/10.1037/0022-0663.89.3.420
Wigfield, A., & Eccles, J. S. (2000). Expectancy–value theory of achievement motivation. Contemporary Educational Psychology, 25 (1), 68-81. https://doi.org/10.1006/ceps.1999.1015
Wolf, M. (2018). Reader, come home: The reading brain in a digital world. New York: Harper Collins.
Woszczynski, A. B., Roth, P. L., & Segars, A. H. (2002). Exploring the theoretical foundations of playfulness in computer interactions. Computers in Human Behavior, 18(14), 369-388. https://doi.org/10.1016/S0747-5632(01)00058-9
Xiao, Y., & Hew, K. F. (2022). The Relationships Among ICT-Related Psychological Factors, School Contextual Factors and Secondary Students’ Reading Performance: A Multilevel Analysis Across 47 Economies. Journal of Educational Computing Research, 60 (5), 1166-1196. https://doi.org/10.1177/07356331211070975
Xu,Q., & Sundar, S. S. (2016). Interactivity and memory: Information processing of interactive versus non-interactive content. Computers in Human Behavior, 63, 620-629. https://doi.org/10.1016/j.chb.2016.05.046
Yang, H., Yang, S., & Isen, A. M. (2012). Positive affect improves working memory: Implications for controlled cognitive processing. Cognition and Emotion, 27 (3), 474-482. https://doi.org/10.1080/02699931.2012.713325
Zhang, R., Zou, D., Xie, H., Au, O.T. S., & Wang, F.L. (2020). A systematic review of research on e-book-based language learning. Knowledge Management & E-Learning. 12 (1), 106-128. https://doi.org/10.34105/j.kmel.2020.12.006
Zhao, M., Liao, H.T. & Sun, S.P. (2020) An Education Literature Review on Digitization, Digitalization, Datafication, and Digital Transformation. In: 6th International Conference on Humanities & Social Science Research, Atlantis Press, Paris, 302-306. https://doi.org/10.2991/assehr.k.200428.065
Zimbardo, P. G.& Gerrig, R. J. (1999).Psychology and Life. New York : Longman.
Zimmerman, B. J. (2002). Becoming a Self-Regulated Learner: An Overview. Theory Into Practice, 41 (2), 64-70. https://doi.org/10.1207/s15430421tip4102_2