簡易檢索 / 詳目顯示

研究生: 賴又瑋
Lai, Yu-Wei
論文名稱: 以資訊系統成功模型探討教師使用數位學習平台對感知效益之影響
The Study of Applying Information Systems Success Model to Explore The Influence of Teachers Using e-Learning Platform on Perceived Benefits
指導教授: 蕭顯勝
Hsiao, Hsien-Sheng
口試委員: 李怡慧
Lee, Yi-Hui
陳俊臣
Chen, Jyun-Chen
張敬珣
Chang, Ching-Hsun
蕭顯勝
Hsiao, Hsien-Sheng
口試日期: 2022/07/05
學位類別: 碩士
Master
系所名稱: 科技應用與人力資源發展學系
Department of Technology Application and Human Resource Development
論文出版年: 2022
畢業學年度: 110
語文別: 中文
論文頁數: 117
中文關鍵詞: 數位學習平台資訊系統成功模型學校支持電腦自我效能感知效益
英文關鍵詞: e-Learning Platform, Information Systems Success Model, School Support, Computer Self-efficacy, Perceived Benefits
研究方法: 問卷調查法
DOI URL: http://doi.org/10.6345/NTNU202200852
論文種類: 學術論文
相關次數: 點閱:173下載:28
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 受到新冠肺炎疫情的影響,各級學校因應學生無法到校而紛紛改採線上授課,來協助學生學習不中斷,因而數位學習(e-Learning)備受關注,蔚為風潮。過去許多研究都證實數位學習平台有助於提升學生學習成效,也發現若使用平台的滿意度越高,其感知效益也會越高。但同樣作為平台使用者的教師卻較少相關研究提及,也不清楚使用數位學習平台對於教師的效益為何。因此,本研究旨從教師作為使用者的角度,運用資訊系統成功模型來探討使用數位學習平台對於教師感知效益的影響,並且同時加入學校支持及教師自身的電腦自我效能一同考量。
    本研究採用網路問卷調查,針對使用數位學習平台之教師進行研究,研究結果發現:(1)數位學習平台的資訊品質、系統品質、服務品質及教育品質皆對於滿意度有正向影響(2)滿意度對於感知效益有正向影響(3)學校支持及電腦自我效能皆對感知效益有正向影響(4)電腦自我效能會部分中介學校支持及感知效益之間的關係(5)學校支持、電腦自我效能及感知效益皆會受到教師的背景變項不同而有差異。本研究根據結果提出建議,學校在推行數位學習平台時,除了要了解教師對於平台品質的想法以外,亦可以針對教師的不同背景變項強化其電腦自我效能及學校支持,來提高教師使用後的感知效益。

    During the COVID-19 pandemic, schools have switched to online teaching to help students learn without interruption. Therefore, e-Learning has attracted much attention and has become a trend. Numerous studies in the past had confirmed that e-Learning platforms help student to improve learning outcomes, and it had also been found that the higher the satisfaction with using the platform, the higher perceived benefits. However, teachers are also platform users but rarely mentioned in relevant research, and it is not clear what the benefits of using e-Learning platforms for teachers. Therefore, this research aims to use the information system success model from the perspective of teachers as users to explore the impact of the use of e-Learning platforms on teachers' perceived benefits, and take both school support and teachers computer self-efficacy into model to research.
    In this study, the online questionnaire survey was used on the teachers using e-Learning platform for the class. The results of this study show that: (1) Information quality, System quality, Service quality and Educational quality have significant influences on Satisfaction. (2) Satisfaction has significant influence on Perceived Benefits. (3) School Support has significant influences on Computer Self-efficacy and Perceived Benefits. (4) Computer Self-efficacy has the partial mediating effect of School Support and Perceived Benefits. (5) School Support, Computer Self-efficacy and Perceived Benefits all vary depending on the teacher's background variables. According to the results, this study suggests schools should understand teachers’ thoughts on the platform quality and enhance their computer skills and support depending on teachers’ different background variables.

    中文摘要 III ABSTRACT V 表 次 XI 圖 次 XIII 第一章 緒論 1 第一節 研究背景與動機 1 第二節 研究目的 7 第三節 待答問題 8 第四節 名詞釋義 9 第二章 文獻探討 11 第一節 資訊系統成功模型理論 11 第二節 數位學習平台 15 第三節 資訊系統成功模型於數位學習平台之應用 17 第四節 學校支持 24 第五節 電腦自我效能 26 第六節 不同教師背景變項之研究 31 第七節 文獻評析 33 第三章 研究設計與實施 35 第一節 研究架構與假設 35 第二節 研究步驟與流程 37 第三節 研究對象 40 第四節 研究工具 41 第五節 資料處理與分析 49 第四章 研究結果 51 第一節 問卷量表發展 51 第二節 樣本資料分析 55 第三節 結構方程模型分析 57 第四節 中介效果分析 65 第五節 重要性績效矩陣分析(IMPORTANCE-PERFORMANCE MATRIX ANALYSIS, IPMA) 68 第六節 不同背景教師之差異分析 72 第五章 結論與建議 77 第一節 研究結論 77 第二節 研究貢獻與管理意涵 83 第三節 研究建議 85 第四節 研究限制 88 參考文獻 89 一、中文部分 89 二、英文部分 90 附錄 111 附錄一 使用數位學習平台之教師意見調查表 113

    方瑀紳、李隆盛(2014)。臺灣數位學習的成效與研究:2000-2011年間國內外研究文獻的回顧與綜整。教育資料與圖書館學,51(1),27-56。
    余淑吟(2019)。以 PLS-SEM 模式探討中高齡者在社群網路的使用強度與自我揭露對網路社會支持與自尊感的關係。國立臺灣科技大學人文社會學報,15(1),1-29。
    吳明隆、涂金堂(2009)。SPSS 與統計應用分析(二版)。臺北:五南出版社。
    吳相儀、陳冠羽、廖思涵、劉政宏、謝碧玲(2018)。「新編青少年強項量表」之編製與驗證。測驗學刊,65(4),367-399。
    吳莉欽(2002)。電腦網路學習環境的理念與問題。教育資料與圖書館學,39(4),441-455。
    吳璧如(2002)。教師效能感之理論分析。教育研究資訊,10(2),45-64。
    紀秋雲、蔡明貴(2016)。資訊科技融入教學策略對國小高年級學童學習成效之研究。學校行政,103,34-60。
    孫志麟(2003)。教師自我效能的概念與測量。教育心理學報,34(2),139-156。
    張基成、林冠佑(2016)。從傳統數位學習到遊戲式數位學習―學習成效、心流體驗與認知負荷。科學教育學刊,24(3),221-248。
    黃天佑、吳璧安、李婉儀、林佩穎(2007)。城鄉國小教師資訊科技融入教學差異分析。資訊科學應用期刊,2(2),1-17。
    葉子明、周君芳(2020)。資訊素養、資訊科技融入教學對國小教師專業成長及教學效能影響之研究。全球科技管理與教育期刊,9(1),20-41。
    楊時芬、歐陽誾(2020)。PaGamO線上遊戲平臺對不同成就之七年級學生數學學習態度與學習成就之影響。教育傳播與科技研究,124,17-36。
    溫嘉榮、徐銘鴻(2016)。偏鄉學校推動數位化創新教學探討與省思。教育學誌,36,139-187。
    劉世雄(2011)。臺灣不同城鄉地區國小教師的教學信念與其運用資訊科技融入教學之探討。課程與教學,14(3),47-76。
    蔡福興、游光昭、蕭顯勝(2008)。從新學習遷移觀點發掘數位遊戲式學習之價值。課程與教學,11(4),237-277。
    蕭文龍(2020)。統計分析入門與應用:SPSS中文版+SmartPLS 3(PLS-SEM)(第三版)。台北市:碁峰。
    薛慶友、傅潔琳(2015)。數位學習平台的應用特色與評析。臺灣教育評論月刊,4(4),77-84。
    饒世妙(2013)。國小教師ICT融入教學現況之研究-從Larry Cuban對科技的教育觀點。教育傳播與科技研究,104,53-83。
    Adukaite, A., Van Zyl, I., Er, Ş., & Cantoni, L. (2017). Teacher perceptions on the use of digital gamified learning in tourism education: The case of South African secondary schools. Computers & Education, 111(3), 172-190.
    Al-Busaidi, K. A., & Al-Shihi, H. (2010). Instructors' acceptance of learning management systems: A theoretical framework. Communications of the IBIMA, 23(2), 1-10.
    Aldholay, A. H., Isaac, O., Abdullah, Z., & Ramayah, T. (2018). The role of transformational leadership as a mediating variable in DeLone and McLean information system success model: The context of online learning usage in Yemen. Telematics and Informatics, 35(5), 1421-1437.
    Almarashdeh, I. (2016). Sharing instructors experience of learning management system: A technology perspective of user satisfaction in distance learning course. Computers in Human Behavior, 63, 249-255. doi: 10.1016/j.chb.2016.05.013
    Al-Fraihat, D., Joy, M., & Sinclair, J. (2020). Evaluating E-Learning systems success: An empirical study. Computers in Human Behavior, 102, 67-86. doi: 10.1016/j.chb.2019.08.004
    Al-Samarraie, H., Teng, B. K., Alzahrani, A. I., & Alalwan, N. (2018). E-Learning continuance satisfaction in higher education: a unified perspective from instructors and students. Studies in Higher Education, 43(11), 2003-2019.
    Amhag, L. (2017). Mobile-Assisted seamless learning activities in higher distance education. International Journal of Higher Education, 6(3), 70-81.
    Amhag, L., Hellström, L., & Stigmar, M. (2019). Teacher educators' use of digital tools and needs for digital competence in higher education. Journal of Digital Learning in Teacher Education, 35(4), 203-220.
    Aparicio, M., Bacao, F., & Oliveira, T. (2017). Grit in the path to e-Learning success. Computers in Human Behavior, 66, 388–399. doi: 10.1016/j.chb.2016.10.009
    Avanesian, G., Mizunoya, S., & Amaro, D. (2021). How many students could continue learning during COVID-19-caused school closures? Introducing a new reachability indicator for measuring equity of remote learning. International Journal of Educational Development, 84, 102421. doi: 10.1016/2021.102421
    Awidi, I. T., & Paynter, M. (2019). The impact of a flipped classroom approach on student learning experience. Computers & Education, 128, 269-283. doi: 10.1016/j.compedu.2018.09.013
    Bandura, A. (1997). Self-efficacy: The exercise of control. New York, NY: Freeman.
    Bhuasiri, W., Xaymoungkhoun, O., Zo, H., Rho, J. J., & Ciganek, A. P. (2012). Critical success factors for e-Learning in developing countries: A comparative analysis between ICT experts and faculty. Computers & Education, 58(2), 843-855.
    Black, J. B., & McClintock, R. O. (1996). An interpretation construction approach to constructivist design. Constructivist learning environments: Case studies in instructional design, 25-31.
    Blaine, A. M. (2019). Interaction and presence in the virtual classroom: An analysis of the perceptions of students and teachers in online and blended Advanced Placement courses. Computers & Education, 132, 31-43. doi: 10.1016/j.compedu.2019.01.004
    Blömeke, S., Nilsen, T., & Scherer, R. (2021). School innovativeness is associated with enhanced teacher collaboration, innovative classroom practices, and job satisfaction. Journal of Educational Psychology, 113(8), 1645–1667.
    Bolandifar, S., & Noordin, N. (2015). Computer Anxiety and Attitudes toward Using Internet in English Language Classes among Iranian Postgraduate Student Teachers. Pertanika Journal of Social Sciences & Humanities, 23(2), 355-371.
    Bolliger, D. U., Inan, F. A., & Wasilik, O. (2014). Development and validation of the online instructor satisfaction measure (OISM). Journal of Educational Technology & Society, 17(2), 183-195.
    Briz-Ponce, L., Pereira, A., Carvalho, L., Juanes-Méndez, J. A., & García-Peñalvo, F. J. (2017). Learning with mobile technologies–Students’ behavior. Computers in Human Behavior, 72, 612-620. doi: 10.1016/j.chb.2016.05.027
    Buzzard, C., Crittenden, V. L., Crittenden, W. F., & McCarty, P. (2011). The use of digital technologies in the classroom: A teaching and learning perspective. Journal of Marketing Education, 33(2), 131-139.
    Calderón, A., & Ruiz, M. (2015). A systematic literature review on serious games evaluation: An application to software project management. Computers & Education, 87, 396-422. doi: 10.1016/j.compedu.2015.07.011
    Chang, C. C. (2013). Exploring the determinants of e‐learning systems continuance intention in academic libraries. Library Management, 34(2), 40-55.
    Chen, C. H. (2011). Transforming online professional development: The design and implementation of the project-based learning management system (PBLMs) for in-service teachers. British Journal of Educational Technology, 42(1), 5-8.
    Chen, H. R., & Tseng, H. F. (2012). Factors that influence acceptance of web-based e-Learning systems for the in-service education of junior high school teachers in Taiwan. Evaluation and Program Planning, 35(3), 398-406.
    Cheng, K. (2006). A research study on students’ level of acceptance in applying e-Learning for business courses–A case study on a technical college in Taiwan. Journal of American Academy of Business, 8(2), 265-270.
    Chickering, A. W., & Ehrmann, S. C. (1996). Implementing the seven principles: Technology as lever. AAHE Bulletin, 49(2), 3-6.
    Cidral, W., Aparicio, M., & Oliveira, T. (2020). Students’ long-term orientation role in e-Learning success: A Brazilian study. Heliyon, 6(12), e05735. doi: 10.1016/2020.e05735
    Cidral, W. A., Oliveira, T., Di Felice, M., & Aparicio, M. (2018). e-Learning success determinants: Brazilian empirical study. Computers & Education, 122, 273-290. doi: 10.1016/j.compedu.2017.12.001
    Cigdem, H., & Ozturk, M. (2016). Factors affecting students’ behavioral intention to use LMS at a Turkish post-secondary vocational school. International Review of Research in Open and Distributed Learning, 17(3), 276-295.
    Cohen, J. (1988). Set correlation and contingency tables. Applied Psychological Measurement, 12(4), 425-434.
    Compeau, D. R., & Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19(2), 189-211.
    DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60-95.
    DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: a ten-year update. Journal of Management Information Systems, 19(4), 9-30.
    DeVellis, R. F., & Thorpe, C. T. (2021). Scale development: Theory and applications. California, CA: Sage publications.
    Dong, Y., Xu, C., Chai, C. S., & Zhai, X. (2020). Exploring the structural relationship among teachers’ technostress, technological pedagogical content knowledge (TPACK), computer self-efficacy and school support. The Asia-Pacific Education Researcher, 29(2), 147-157.
    Drossel, K., Eickelmann, B., & Gerick, J. (2017). Predictors of teachers’ use of ICT in school–the relevance of school characteristics, teachers’ attitudes and teacher collaboration. Education and Information Technologies, 22(2), 551-573.
    Eickelmann, B. (2011). Supportive and hindering factors to a sustainable implementation of ICT in schools. Journal for Educational Research Online, 3(1), 75-103.
    Ertmer, P. A. (2005). Teacher pedagogical beliefs: The final frontier in our quest for technology integration?. Educational Technology Research and Development, 53(4), 25-39.
    Fackler, S., & Malmberg, L. E. (2016). Teachers' self-efficacy in 14 OECD countries: Teacher, student group, school and leadership effects. Teaching and Teacher Education, 56, 185-195. doi:10.1016/j.tate.2016.03.002
    Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
    Furió, D., Juan, M. C., Seguí, I., & Vivó, R. (2015). Mobile learning vs. traditional classroom lessons: a comparative study. Journal of Computer Assisted Learning, 31(3), 189-201.
    Gable, G. G., Sedera, D., & Chan, T. (2008). Re-conceptualizing information system success: The IS-impact measurement model. Journal of the Association for Information Systems, 9(7), 377-408.
    Gibson, S., & Dembo, M. H. (1984). Teacher efficacy: A construct validation. Journal of Educational Psychology, 76(4), 569-582.
    Gist, M. E., Schwoerer, C., & Rosen, B. (1989). Effects of alternative training methods on self-efficacy and performance in computer software training. Journal of Applied Psychology, 74(6), 884-891.
    Gunter, G. A., & Reeves, J. L. (2017). Online professional development embedded with mobile learning: An examination of teachers' attitudes, engagement and dispositions. British Journal of Educational Technology, 48(6), 1305-1317.
    Hair Jr, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). International Journal of Research & Method in Education, 38(2), 220-221.
    Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing theory and Practice, 19(2), 139-152.
    Hair, J. F., Ringle, C. M., & Sarstedt, M. (2013). Partial least squares structural equation modeling: Rigorous applications, better results and higher acceptance. Long Range Planning, 46(2), 1-12.
    Hassanzadeh, A., Kanaani, F., & Elahi, S. (2012). A model for measuring e-Learning systems success in universities. Expert Systems with Applications, 39(12), 10959-10966.
    Haydn, T., & Barton, R. (2008). ‘first do no harm’: factors influencing teachers’ ability and willingness to use ICT in their subject teaching. Computers & Education, 51, 439-447.
    Higgins, H., & Gulliford, A. (2014). Understanding teaching assistant self-efficacy in role and in training: its susceptibility to influence. Educational Psychology in Practice, 30(2), 120-138.
    Holzberger, D., & Prestele, E. (2021). Teacher self-efficacy and self-reported cognitive activation and classroom management:A multilevel perspective on the role of school characteristics. Learning and Instruction, 76, 101513. doi: 10.1016/2021.101513.
    Howard, S. K., Tondeur, J., Siddiq, F., & Scherer, R. (2021). Ready, set, go! Profiling teachers’ readiness for online teaching in secondary education. Technology Pedagogy and Education, 30(1), 141-158.
    Hoy, W. K., & Woolfolk, A. E. (1993). Teachers' sense of efficacy and the organizational health of schools. The Elementary School Journal, 93(4), 355-372.
    Hrtoňová, N., Kohout, J., Rohlíková, L., & Zounek, J. (2015). Factors influencing acceptance of e-Learning by teachers in the Czech Republic. Computers in Human Behavior, 51, 873-879. doi: 10.1016/j.chb.2014.11.018
    Hsia, J. W., Chang, C. C., & Tseng, A. H. (2014). Effects of individuals' locus of control and computer self-efficacy on their e-Learning acceptance in high-tech companies. Behaviour & Information Technology, 33(1), 51-64.
    Hsu, S. (2011). Who assigns the most ICT activities? Examining the relationship between teacher and student usage. Computers & Education, 56(3), 847-855.
    Huang, W.-H., Huang, W.-Y., & Tschopp, J. (2010). Sustaining iterative game playing processes in DGBL:The relationship between motivational processing and outcome processing. Computers & Education, 55(2), 789- 797.
    Hutchinson, J., Lai, F., & Wang, Y. (2009). Understanding the relationships of quality, value, equity, satisfaction, and behavioral intentions among golf travelers. Tourism Management, 30(2), 298-308.
    Inan, F. A., & Lowther, D. L. (2010). Factors affecting technology integrationin K-12 classrooms: A path model. Educational Technology Research and Development, 58(2), 137-154.
    Jeyaraj, A. (2020). DeLone & McLean models of information system success: Critical meta-review and research directions. International Journal of Information Management, 54, 102139. doi: 10.1016/j.ijinfomgt.2020.102139
    Jia, D., Bhatti, A., & Nahavandi, S. (2014). The impact of self-efficacy and perceived system efficacy on effectiveness of virtual training systems. Behaviour & Information Technology, 33(1), 16-35.
    Joo, Y. J., Lim, K. Y., & Kim, N. H. (2016). The effects of secondary teachers’ technostress on the intention to use technology in South Korea. Computers & Education, 95, 114-122. doi: 10.1016/j.compedu.2015.12.004
    Kaur, N., Dwivedi, D., Arora, J., & Gandhi, A. (2020). Study of the effectiveness of e-Learning to conventional teaching in medical undergraduates amid COVID-19 pandemic. National Journal of Physiology, Pharmacy and Pharmacology, 10(7), 563-567.
    Kelley, T. L. (1939). The selection of upper and lower groups for the validation of test items. Journal of Educational Psychology, 30(1), 17-24.
    Kim, D., Lee, Y., Leite, W. L., & Huggins-Manley, A. C. (2020). Exploring student and teacher usage patterns associated with student attrition in an open educational resource-supported online learning platform. Computers & Education, 156, 103961. doi: 10.1016/j.compedu.2020.103961
    Kim, K., Trimi, S., Park, H., & Rhee, S. (2012). The impact of CMS quality on the outcomes of e‐learning systems in higher education: an empirical study. Decision Sciences Journal of Innovative Education, 10(4), 575-587.
    Kumar, P., Saxena, C., & Baber, H. (2021). Learner-content interaction in e-Learning-the moderating role of perceived harm of COVID-19 in assessing the satisfaction of learners. Smart Learning Environments, 8(1), 1-15.
    Larsen, T. J., Sørebø, A. M., & Sørebø, Ø. (2009). The role of task- technology fit as users’ motivation to continue information system use. Computers in Human Behavior, 25(3), 778-784.
    Lee, J. K., & Lee, W. K. (2008). The relationship of e-Learner’s self-regulatory efficacy and perception of e-Learning environmental quality. Computers in Human Behavior, 24(1), 32-47.
    Lee-Post, A. (2009). e-Learning Success Model: An Information Systems Perspective. Electronic Journal of e-Learning, 7(1), 61-70.
    Leguina, A. (2015). A primer on partial least squares structural equation modeling (PLS-SEM). International Journal of Research & Method in Education, 38(2), 220–221.
    Liaw, S. -S. (2002). An internet survey for perceptions of computers and the World Wide Web: Relationship, prediction, and difference. Computers in Human Behavior, 18(1), 17-35.
    Li, E. Y. (1997). Perceived importance of information system success factors: A meta analysis of group differences. Information & Management, 32(1), 15-28.
    Ligas, M. R. (2002). Evaluation of Broward County alliance of quality schools project. Journal of Education for Students Placed at Risk, 7(2), 117-139.
    Lin, W. S., & Wang, C. H. (2012). Antecedences to continued intentions of adopting e-Learning system in blended learning instruction: A contingency framework based on models of information system success and task-technology fit. Computers & Education, 58(1), 88-99.
    López-Vargas, O., Duarte-Suárez, L., & Ibáñez-Ibáñez, J. (2017). Teacher’s computer self-efficacy and its relationship with cognitive style and TPACK. Improving Schools, 20(3), 264-277.
    Lorenz, R., Endberg, M., & Bos, W. (2019). Predictors of fostering students’ computer and information literacy–analysis based on a representative sample of secondary school teachers in Germany. Education and Information Technologies, 24(1), 911-928.
    Mahmood, M. A., Burn, J. M., Gemoets, L. A., & Jacquez, C. (2000). Variables affecting information technology end-user satisfaction: a meta-analysis of the empirical literature. International Journal of Human-Computer Studies, 52(4), 751-771.
    Mahyoob, M. (2021). Online Learning Effectiveness During the COVID-19 Pandemic: A Case Study of Saudi Universities. International Journal of Information and Communication Technology Education, 17(4), 1-14.
    Marsh, H. W. (1987). Students' evaluations of university teaching: Research findings, methodological issues, and directions for future research. International Journal of Educational Research, 11(3), 253-388.
    Marjanovic, U., Delić, M., & Lalic, B. (2016). Developing a model to assess the success of e-Learning systems: evidence from a manufacturing company in transitional economy. Information Systems and e-Business Management, 14(2), 253-272.
    Martilla, J. A., & James, J. C. (1977). Importance-performance analysis. Journal of Marketing, 41(1), 77-79.
    Martins, J., Branco, F., Gonçalves, R., Au-Yong-Oliveira, M., Oliveira, T., Naranjo-Zolotov, M., & Cruz-Jesus, F. (2019). Assessing the success behind the use of education management information systems in higher education. Telematics and Informatics, 38, 182-193. doi: 10.1016/j.tele.2018.10.001
    Matzler, K., Bailom, F., Hinterhuber, H. H., Renzl, B., & Pichler, J. (2004). The asymmetric relationship between attribute-level performance and overall customer satisfaction: a reconsideration of the importance–performance analysis. Industrial Marketing Management, 33(4), 271-277.
    Meristo, M., & Eisenschmidt, E. (2014). Novice teachers’ perceptions of school climate and self-efficacy. International Journal of Educational Research, 67, 1-10. doi:10.1016/2014.04.003
    Mohammadi, H. (2015). Investigating users’ perspectives on e-Learning: An integration of TAM and IS success model. Computers In Human Behavior, 45, 359-374. doi: 10.1016/j.chb.2014.07.044
    Mohamadi, F. S., & Asadzadeh, H. (2012). Testing the mediating role of teachers’ self-efficacy beliefs in the relationship between sources of efficacy information and students achievement. Asia Pacific Education Review, 13(3), 427-433.
    Moreira-Fontán, E., García-Señorán, M., Conde-Rodríguez, Á., & González, A. (2019). Teachers' ICT-related self-efficacy, job resources, and positive emotions: Their structural relations with autonomous motivation and work engagement. Computers & Education, 134, 63-77. doi: 10.1016/j.compedu.2019.02.007
    Mouza, C., Codding, D. M., & Pollock, L. (2022). Investigating the impact of research-based professional development on teacher learning and classroom practice: Findings from computer science education. Computers & Education, 186, 104530. doi: rg/10.1016/j.compedu.2022.10
    Mulyono, H., Suryoputro, G., & Jamil, S. R. (2021). The application of WhatsApp to support online learning during the COVID-19 pandemic in Indonesia. Heliyon, e07853. doi:10.1016/2021.e07853
    Mumtaz, S. (2000). Factors affecting teachers' use of information and communications technology: a review of the literature. Journal of Information Technology for Teacher Education, 9(3), 319-342.
    Nambisan, S., Agarwal, R., & Tanniru, M. (1999). Organizational mechanisms for enhancing user innovation in information technology. MIS Quarterly, 23(3), 365-395.
    Naveh, G., Tubin, D., & Pliskin, N. (2010). Student LMS use and satisfaction in academic institutions: The organizational perspective. The Internet and Higher Education, 13(3), 127-133.
    Ottenbreit-Leftwich, A. T., Glazewski, K. D., Newby, T. J., & Ertmer, P. A. (2010). Teacher value beliefs associated with using technology: Addressing professional and student needs. Computers & Education, 55(3), 1321-1335.
    Ouajdouni, A., Chafik, K., & Boubker, O. (2021). Measuring e-Learning systems success: Data from students of higher education institutions in Morocco. Data in Brief, 35, 106807. doi: 10.1016/j.dib.2021.106807
    Ozkan, S., & Koseler, R. (2009). Multi-dimensional students’ evaluation of e-Learning systems in the higher education context: An empirical investigation. Computers & Education, 53(4), 1285-1296.
    Paraskeva, F., Bouta, H., & Papagianni, A. (2008). Individual characteristics and computer self-efficacy in secondary education teachers to integrate technology in educational practice. Computers & Education, 50(3), 1084-1091.
    Pavlou, P. A., & Fygenson, M. (2006). Understanding and predicting electronic commerce adoption: An extension of the theory of planned behavior. MIS Quarterly, 30(1), 115-143. doi: 10.2307/25148720
    Pelgrum, W. J. (2001). Obstacles to the integration of ICT in education: results from a worldwide educational assessment. Computers & Education, 37(2), 163-178.
    Peng, H., Tsai, C. -C., & Wu, Y. -T. (2006). University students’ self-efficacy and their attitudes toward the internet: The role of students’ perceptions of the internet. Educational Studies, 32(1), 73-86.
    Petter, S., DeLone, W., & McLean, E. (2008). Measuring information systems success: models, dimensions, measures, and interrelationships. European Journal of Information Systems, 17(3), 236-263.
    Petter, S., & McLean, E. R. (2009). A meta-analytic assessment of the DeLone and McLean IS success model: An examination of IS success at the individual level. Information & Management, 46(3), 159-166.
    Petko, D. (2012). Teachers’ pedagogical beliefs and their use of digital media in classrooms: sharpening the focus of the ‘will, skill, tool’ model and integrating teachers’ constructivist orientations. Computers & Education, 58(4), 1351-1359.
    Pitt, L. F., Watson, R. T., & Kavan, C. B. (1995). Service quality: a measure of information systems effectiveness. MIS Quarterly, 19(2), 173-187.
    Porter, W. W., & Graham, C. R. (2016). Institutional drivers and barriers to faculty adoption of blended learning in higher education. British Journal of Educational Technology, 47(4), 748-762.
    Poulova, P., & Simonova, I. (2014). E-Learning reflected in research studies in Czech Republic: Comparative analyses. Procedia-Social and Behavioral Sciences, 116, 1298-1304. doi: 10.1016/2014.01.386
    Presno, C. (1998). Taking the byte out of Internet anxiety: instructional techniques that reduce computer/Internet anxiety in the classroom. Journal of Educational Computing Research, 18(2), 147-161.
    Pynoo, B., Devolder, P., Tondeur, J., Van Braak, J., Duyck, W., & Duyck, P. (2011). Predicting secondary school teachers’ acceptance and use of a digital learning environment: A cross-sectional study. Computers in Human Behavior, 27(1), 568-575.
    Ramakrisnan, P., Jaafar, A., Razak, F. H. A., & Ramba, D. A. (2012). Evaluation of User Interface Design for Leaning Management System (LMS): Investigating student's eye tracking pattern and experiences. Procedia-Social and Behavioral Sciences, 67, 527-537. doi: 10.1016/2012.11.357
    Rich, P. J., Mason, S. L., & O'Leary, J. (2021). Measuring the effect of continuous professional development on elementary teachers’ self-efficacy to teach coding and computational thinking. Computers & Education, 168, 104196. doi: 10.1016/j.compedu.2021.104196
    Roca, J. C., Chiu, C. M., & Martínez, F. J. (2006). Understanding e-Learning continuance intention: An extension of the Technology Acceptance Model. International Journal of Human-Computer Studies, 64(8), 683-696.
    Saba, T. (2012). Implications of e-Learning systems and self-efficiency on students outcomes: a model approach. Human-Centric Computing and Information Sciences, 2(1), 1-11.
    Sabeh, H. N., Husin, M. H., Kee, D. M. H., Baharudin, A. S., & Abdullah, R. (2021). A Systematic Review of the DeLone and McLean Model of Information Systems Success in an e-Learning Context (2010–2020). IEEE Access, 9, 81210-81235. doi: 10.1109/2021.3084815
    Sanchez-Franco, M. J. (2009). The moderating effects of involvement on the relationships between satisfaction, trust and commitment in e-banking. Journal of Interactive Marketing, 23(3), 247-258.
    Sang, G., Valcke, M., Van Braak, J., & Tondeur, J. (2010). Student teachers’ thinking processes and ICT integration: Predictors of prospective teaching behaviors with educational technology. Computers & Education, 54(1), 103-112.
    San-Martín, S., Jiménez, N., Rodríguez-Torrico, P., & Piñeiro-Ibarra, I. (2020). The determinants of teachers’ continuance commitment to e-Learning in higher education. Education and Information Technologies, 25(4), 3205-3225.
    Sarstedt, M., Ringle, C. M., & Hair, J. F. (2017). Partial least squares structural equation modeling. Handbook of Market Research, 26(1), 1-40.
    Scherer, R., & Siddiq, F. (2015). Revisiting teachers’ computer self-efficacy: A differentiated view on gender differences. Computers in Human Behavior, 53, 48-57. doi: 10.1016/j.chb.2015.06.038
    Scherer, R., Siddiq, F., & Teo, T. (2015). Becoming more specific: Measuring and modeling teachers' perceived usefulness of ICT in the context of teaching and learning. Computers & Education, 88, 202-214. doi: 10.1016/j.compedu.2015.05.005
    Seddon, P. B. (1997). A respecification and extension of the DeLone and McLean model of IS success. Information Systems Research, 8(3), 240-253.
    Shippee, M., & Keengwe, J. (2014). mLearning: Anytime, anywhere learning transcending the boundaries of the educational box. Education and Information Technologies, 19(1), 103-113.
    Siddiq, F., & Scherer, R. (2016). The relation between teachers’ emphasis on the development of students’ digital information and communication skills and computer self-efficacy: the moderating roles of age and gender. Large-Scale Assessments in Education, 4(1), 1-21.
    Sieverding, M., & Koch, S. C. (2009). (Self-) Evaluation of computer competence: How gender matters. Computers & Education, 52(3), 696-701.
    Sintema, E. J. (2020). Effect of COVID-19 on the performance of grade 12 students: Implications for STEM education. Eurasia Journal of Mathematics, Science and Technology Education, 16(7), em1851. doi: 10.29333/7893
    Skaalvik, E. M., & Skaalvik, S. (2007). Dimensions of teacher self-efficacy and relations with strain factors, perceived collective teacher efficacy, and teacher burnout. Journal of Educational Psychology, 99(3), 611-625.
    Sørebø, Ø., Halvari, H., Gulli, V. F., & Kristiansen, R. (2009). The role of self-determination theory in explaining teachers’ motivation to continue to use e-Learning technology. Computers & Education, 53(4), 1177-1187.
    Streukens, S., Leroi-Werelds, S., & Willems, K. (2017). Dealing with nonlinearity in importance-performance map analysis (IPMA): An integrative framework in a PLS-SEM context. In Partial least squares path modeling (pp. 367-403). Springer, Cham.
    Šumak, B., Heričko, M., & Pušnik, M. (2011). A meta-analysis of e-Learning technology acceptance: The role of user types and e-Learning technology types. Computers in Human Behavior, 27(6), 2067-2077.
    Tamim, R. M., Bernard, R. M., Borokhovski, E., Abrami, P. C., & Schmid, R. F. (2011). What forty years of research says about the impact of technology on learning: A second order meta analysis and validation study. Review of Educational Research, 81(1), 4-28.
    Tondeur, J., Van Keer, H., Van Braak, J., & Valcke, M. (2008). ICT integration in the classroom: Challenging the potential of a school policy. Computers & Education, 51(1), 212-223.
    Ungar, O. A., & Baruch, A. F. (2016). Perceptions of Teacher Educators Regarding ICT Implementation in Israeli Colleges of Education. Interdisciplinary Journal of e-Skills and Life Long Learning,12, 279-296. doi: 10.28945/3606
    Ung, L. L., Labadin, J., & Mohamad, F. S. (2022). Computational thinking for teachers: Development of a localised E-Learning system. Computers & Education, 177, 104379. doi:10.1016/j.compedu.2021.104379
    United Nations Educational, Scientific and Cultural Organization (UNESCO). (2020). New guidelines provide roadmap for safe reopening of schools. UNESCO.
    Van Lancker, W., & Parolin, Z. (2020). COVID-19, school closures, and child poverty: a social crisis in the making. The Lancet Public Health, 5(5), 243-244.
    Varatharaj, R., Abdullah, A. G. K., & Ismail, A. (2015). The effect of teacher autonomy on assessment practices among Malaysian cluster school teachers. International Journal of Asian Social Science, 5(1), 31-36.
    Wagner, N., Hassanein, K., & Head, M. (2008). Who is responsible for e-Learning success in higher education? A stakeholders' analysis. Journal of Educational Technology & Society, 11(3), 26-36.
    Wang, H. C., & Chiu, Y. F. (2011). Assessing e-Learning 2.0 system success. Computers & Education, 57(2), 1790-1800.
    West, R. E., Waddoups, G., & Graham, C. R. (2007). Understanding the experiences of instructors as they adopt a course management system. Educational Technology Research and Development, 55(1), 1-26.
    Wong, K. T., Teo, T., & Russo, S. (2012). Influence of gender and computer teaching efficacy on computer acceptance among Malaysian student teachers: An extended technology acceptance model. Australasian Journal of Educational Technology, 28(7). 1190-1207.
    Xia, J. (2010). Linking ICTs to rural development: China's rural information policy. Government Information Quarterly, 27(2),187-195.
    Yusof, M. M., Kuljis, J., Papazafeiropoulou, A., & Stergioulas, L. K. (2008). An evaluation framework for Health Information Systems: human, organization and technology-fit factors (HOT-fit). International Journal of Medical Informatics, 77(6), 386-398.
    Zhang, S., & Liu, Q. (2019). Investigating the relationships among teachers’ motivational beliefs, motivational regulation, and their learning engagement in online professional learning communities. Computers & Education, 134, 145-155. doi: 10.1016/j.compedu.2019.02.013
    Zheng, Y., Wang, J., Doll, W., Deng, X., & Williams, M. (2018). The impact of organisational support, technical support, and self-efficacy on faculty perceived benefits of using learning management system. Behaviour & Information Technology, 37(4), 311-319.

    下載圖示
    QR CODE