研究生: |
周孜靜 Chou, Tzu-Ching |
---|---|
論文名稱: |
在COVID-19下舞蹈補習班學生之線上學習舞蹈自我效能對其興趣、焦慮、心智投入、學習舞蹈自信心及持續意圖之相關研究 Dance Cram School Students' Self-Confidence and Continue Intention to Online Dance Learning: Correlates between Dance Learning Self-Efficacy, Learning Interest and Anxiety, and Cognitive Engagement during COVID-19 Lockdown |
指導教授: |
洪榮昭
Hong, Jon-Chao |
口試委員: | 洪榮昭 陳曉雰 王雲幼 |
口試日期: | 2021/06/26 |
學位類別: |
碩士 Master |
系所名稱: |
創造力發展碩士在職專班 Continuing Education Master's Program of Creativity Development |
論文出版年: | 2021 |
畢業學年度: | 109 |
語文別: | 中文 |
論文頁數: | 124 |
中文關鍵詞: | 特質活化理論 、線上學習舞蹈 、學習舞蹈自我效能 、心智投入 、學習舞蹈自信心 |
英文關鍵詞: | Trait activation theory, Online dance learning, Dance learning self-efficacy, Cognitive engagement, Dance learning self-confidence |
研究方法: | 量化研究法 、 滾雪球取樣法 |
DOI URL: | http://doi.org/10.6345/NTNU202100744 |
論文種類: | 學術論文 |
相關次數: | 點閱:243 下載:87 |
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21世紀科技持續蓬勃發展以及COVID-19疫情全球肆虐,舞蹈教學也必須面對線上課程的轉型。然而,舞蹈學習強調精確的動作和姿勢,這對於學生是否會帶來挑戰?為了瞭解並嘗試找出線上學習舞蹈的方式會影響何種人格特質的學生,因此,本研究以特質活化理論為基礎,來探討舞蹈補習班學生學習舞蹈自我效能,對其線上學習過程中的學習興趣、學習焦慮、心智投入之影響,及學習後的學習舞蹈自信心及持續意圖將如何表現。本研究採用滾雪球取樣方式的問卷調查法,以北京市舞蹈補習班學生作為研究對象,篩選出307份有效樣本。透過驗證性因素分析及結構方程模式模型等分析方式來確認本研究假設是否成立。本研究結果顯示,學習者在線上學習舞蹈中除了學習焦慮與學習舞蹈自我效能間存在負相關之外,學習興趣、心智投入、學習舞蹈自信心及持續意圖皆與學習舞蹈自我效能呈現正相關。最後,根據研究結果與研究結論提供教育人員、教學者與學習者實務上之建議,以及從事舞蹈相關領域的研究者研究上之建議。
With the continuous technological development in the 21st century and the global COVID-19 epidemic in 2020, dance teaching and learning must also face the transformation of online courses. However, dance teaching and learning that focus on emphasizing precise movements and gestures that may be or not quite challenging to some students to have a better effectiveness. To understand this issue, the present study tried to find out what kind of individual trait would influence themselves in practicing dance through online learning. Based on trait activation theory, participants’ online learning activators: interest and anxiety predicted by learning dance self-efficacy and related to their cognitive engagement in online learning, then reflected to enhance their self-confidence and continuance intention of dance cram students. Data of 307 were useful returned from snowballing sampling initiated from Beijing Dance cram school students. Statistical methods include confirmatory factor analysis and structural equation modelling were applied to verify research model. The results of this study revealed that except for the mediator of learning anxiety in online dance learning is negatively correlated between learning dance self-efficacy, all other emotional factors, self-confidence enhancement and continued intention to online learning dance are positively predicted by learning dance self-efficacy and mediated by online learning interest. Expectedly, the results of the analysis can be applied for cram school mangers to create online dance programs to promote target students to have more interest and enhance their dance confidence.
一、中文文獻
王人生、黃崇儒、陳錦偉(2005)。高低特質焦慮者在競爭與非競爭籃球運動後狀態焦慮變化之研究。臺灣運動心理學報,6,101-121。
王俊智(2016)。以時間序列及相關性來分析學生過度自信的特質、後設認知、學習態度及學習成效:以思辨雲的校正學習為例。國立臺灣師範大學,臺北市。
向頡華、楊文廣、柳立偉(2020)。健康與健身應用程式持續使用之研究-以國內運動社團為例。運動休閒管理學報,17(2),42-59。doi: 10.6214/JSRM.202006_17(2).0004
何是勳、林明宏、黃美華(2017)。以能力集合與科技接受模式探討健身 APP 開 發 之 研 究 。 習 慣 領 域 期 刊 , 8(1) , 89-119 。 doi: 10.3966/199891212017030801005
余宗樺、鍾鼎、陳世智(2014)。應用的接受後持續採用模式探討即時通訊軟體持續意圖之實證研究。華醫學報,(41),1-12。
余鑑、于俊傑、余采芳(2011)。數位學習知覺與使用意圖間影響之研究。Electronic Commerce Studies,9(3),323-351。doi:10.29767/ECS.201109.0004
吳明隆(2009)。結構方程模式:AMOS 的操作與應用(第二版)。臺北市:五南圖書。
吳明隆、涂金堂(2012)。SPSS 與統計應用分析(第二版)。臺北市:五南圖書。
吳武典(1971)。從心理動力學的觀點談影響學生學習的因素。教育文摘,16(5),5-11。
呂藝生(2000)。舞蹈教育學。上海:音樂。
李品蓁(2014)。學生的認知風格、遊戲興趣、競爭焦慮、校正準確度對數學遊戲學習成效之相關分析。國立臺灣師範大學,臺北市。
李維、白穎穎(2018)。初二學生感知的教師支持如何影響學業成績?—基於學業自我效能感與學習投入的多重仲介效應分析。教育與經濟,6,86-92。
杜瑞澤、邱淑萍、莊立文、朱維政(2013)。遠距教學之線上學習成效影響因子之研究。文化創意產業研究學報,3(4),157-166。
阮姿綾(2014)。臺北市國小高年級學生自我效能、智力內隱信念、課室目標結構與學習投入之關係研究。國立臺北教育大學,臺北市。
林文鶯、侯傑泰(1995)。結構方程分析——模式之等同及修正。教育學報,23,149-163。
林祐綸(2014)。自我效能和性別差異對於科技接受度之影響:以大規模開放式線上學習環境為例。國立中央大學,桃園縣
林凱祥(2020)。國中生活科技學習興趣量表的發展與相關因素之研究。國立高雄師範大學,高雄市。
邱皓政、林碧芳(2017)。統計學:原理與應用(3版)。臺北市:五南圖書。
俞玫伶(2009)。需求動機與電腦自我效能對線上學習意願之影響研究。國立臺灣海洋大學,基隆市。
施保旭(2008)。網路科技與教學創新。臺北市終身學習網通訊,13-18。
洪榮昭、王志美、葉貞妮、吳鳳姝(2020)。遊戲自我效能、遊戲興趣、認知負荷與地理桌遊的遊玩自信心提升之相關研究。教育科學研究期刊,65(3),225-250。
夏綠荷(2015)。線上同儕回饋對舞蹈學習成就、動機與自我效能之影響。國立臺南大學,臺南市。
徐明芝(2015)。學習回饋形式與品質對學習動機、學習態度、學習調整與自我效能影響之研究。淡江大學,新北市。
涂馨友(2014)。5E探究式教學對國小學童在學習興趣、決策能力與動作技能之效應。國立臺灣師範大學,臺北市。
涂馨友、盧俊宏、楊明蓁(2019)。體育課學習興趣量表中文化及信效度檢驗。體育學報,52(3),389-404。doi:10.6222/pej.201909_52(3).0009
張芳全、陳俐君(2018)。國中生家庭社經地位、文化資本、自然科學習興趣對自然科學習動機影響之縱貫性研究。臺中教育大學學報:教育類,32(2),1‒33。
張春興(1989)。張氏心理學辭典。臺北:東華。
張春興(1991)。教育心理學-三化取向的理論與實踐。臺北市:東華。
張春興、林清山(1989)。教育心理學。臺北:東華。
張哲碩(2013)。國中生英語學習動機、英語學習焦慮與自我效能之相關研究-以臺東縣為例。國立臺東大學教育學系,臺東縣。
張偉豪(2011)。SEM 論文寫作不求人。臺北市:鼎茂。
張國恩(2002) 。從學習科技的發展看資訊融入教學的內涵。北縣教育,41,16-25。
教育部,教育百科(2020)。
教育部學校衛生資訊網(2020)。取自https://cpd.moe.gov.tw/articleInfo.php?id=2794
曹幸璇、陳妍彣、張逸俊、陳德明、沈靜茹(2018)。利用線上學習平臺,強化OSCE考官考前共識方法。臺灣擬真醫學教育期刊,5(2),17-25。doi:10.6582/JTSSH.201812_5(2).0002
曹若蘭(2017)。國民中學學生內隱智力、個人最佳目標與學習投入之相關研究。國立彰化師範大學,彰化縣。
梁茂森(1998)。國中生學習自我效能量表之編制。教育學刊,14,155-192。
梁雪萍(2004)。電腦影像處理科技輔助視覺藝術概論教學對學生學習自我效能與學習成效之影響研究。國立屏東師範學院,屏東市。
許天藍(2020)。影響國中導師使用即時通訊軟體進行親師生溝通相關因素之研究。國立臺灣師範大學,臺北市。
許祐禎(2019)。機器人應用在國小學童英語教學成效、學習參與度與學習自信心之研究。國立臺中教育大學,臺中市。
郭文斌、尤興琴(2019)。三軌教學模式對大學生學習投入影響研究。渭南師範學院學報:綜合版,34(2),5-11。
郭沛緹(2019)。國小高年級學童嘲笑恐懼、學習焦慮與學習自我效能之相關影響研究。大葉大學,彰化縣。
郭晏安(2019)。健康信念與反思學習介入線上學習課程對學員之健康飲食知識、行為及自我效能之影響。國立臺灣科技大學,臺北市。
陳又菱(2017)。應用社群網路行動應用程式Instagram在美感教育活動 對大學生美感經驗、學習投入度、學習興趣與學習成效之影響。國立交通大學,新竹市。
陳文正 (2012)。國小高年級學童的論證學習在科學解釋合理性判斷之效應探討。國立東華大學,花蓮縣。
陳欽雨、蔡宜雯(2016)。服務業員工自我概念、正向態度與專業契合對升遷機會之影響。人力資源管理學報,16(2),81-114。
陳綠蓉(2001)。考試焦慮的矯治與輔導。學生輔導,75,80-83。
陳璇、崔景貴(2019)。中職生學業自我與學習投入的關係:學業韌性的中介作用。職業技術教育,31。
陳龍潔(2020)。自我效能、成就動機、學習投入與專業能力成長關係之研究-以資訊課程為例。國立臺灣師範大學,臺北市。
陸秀芳(2020)。線上學習無限教學充電-談精神科護理學磨課師課程經驗。志為護理-慈濟護理雜誌,19(3),30-33。
曾繁絹(2018)。以專利分析探討金融科技之策略佈局-以阿里巴巴與騰訊為例。國立臺南大學,臺南市。
程炳林(2001)。動機、目標設定、行動控制、後設認知之關係:自我調整學習歷程模式之建構及驗證。師大學報,46 (1),67-92。
黃金桂(2014)。舞蹈教學。臺灣:五南。
楊致慧(2013)。科技大學英文教師教學風格、師生互動、學生學習投入與學習自我效能關係之研究。國立高雄師範大學,高雄市。
雷立偉(2020)。遠距教學與e化工具並非解決教育難題的萬靈丹。評鑑雙月刊,86,27-28。
廖秋華(2010)。國小學童成就目標、學業挫折經驗、學業自我效能對學業挫折容忍力之影響。大葉大學,彰化縣。
劉冠毅(2020)。探討在電子書學習系統中學生的認知負荷、自主學習、線上學習行為與學習成果之間的關聯–以管理學院微積分為例。國立中央大學,桃園縣。
劉泰佑(2020)。藉由電子書學習系統探討學生自主學習、學業成績與線上學習行為之間的關係-以微積分課程為例。國立中央大學,桃園縣。
潘建宏(2014)。國小學童參與網路課輔活動之學習自我效能研究。國立東華大學,花蓮縣。
衛生福利部疾病管制署網站-嚴重特殊傳染性肺炎-疾病介紹(2020,4月27日)https://www.cdc.gov.tw/Category/Page/vleOMKqwuEbIMgqaTeXG8A#
鄭瑞昌、賴煒曾、李家豪(2017)。淺談數位學習應用於成人教育的困境與因應之道。數位與開放學習期刊,7,94-107。
鄭瑞洲、洪振方、黃臺珠 (2011)。學習興趣─制式與非正式課程科學學習的交會點。科學教育月刊,340,2-10。
駐英國代表處教育組(2020)。英國因應疫情針對中小學推出之線上教學措施。教育部電子報,919。取自https://reurl.cc/Kk75eR
駐歐盟兼駐比利時代表處教育組(2020)。比利時及荷蘭各級學校因應新冠肺炎疫情主要措施。臺灣教育研究資訊網。取自https://reurl.cc/Njvglq
戴育芳、鄭永熏(2017)。桌上遊戲融入國小閩南語教學對學生閩南語口語能力與學習自信心的影響。國際數位媒體設計學刊,9(2),54-62。
謝觀崢(2017)。科技大學學生英語學習信念、學習氣氛、學習焦慮與學習效能關係之研究。科學與人文研究,4(3),77-111。doi:10.6535/JSH2017074304
蘇照雅(2018a)。新北市國小高年級學生閱讀行為之初探。臺灣教育評論月刊,7(6),169-171。
蘇照雅(2018b)。新北市國小高年級學生學習興趣與閱讀行為之探討。國立臺北教育大學,臺北市。
二、外文文獻
Adhikari, S. P., Meng, S., Wu, Y. J., Mao, Y. P., Ye, R. X., Wang, Q. Z., ... & Zhou, H. (2020). Epidemiology, causes, clinical manifestation and diagnosis, prevention and control of coronavirus disease (COVID-19) during the early outbreak period: A scoping review. Infectious Diseases of Poverty, 9(1), 1-12.
Ainley, M. (2012). Students’ interest and engagement in classroom activities. In S. L. Christenson, A. L. Reschly, & C. Wylie (Eds.), Handbook of research on student engagement (pp. 283–302). New York, NY: Springer.
Alpert, R., & Haber, R. N. (1960). Anxiety in academic achievement situations. The Journal of Abnormal and Social Psychology, 61(2), 207–215. doi: 10.1037/h0045464
American Society for Training and Development. (2011). Retrieved from ASTD Web site: http://www.astd.org/
Andersson, N. (2014). Assessing dance: A phenomonological study of formative assessment in dance education. Nordic Journal of Art and Research, 3(1). doi: 10.7577/if. v3i1.936
Ansoff, I. H. (1990). Critique of Henry Mintzberg's ‘The design school: Reconsidering the basic premises of strategic management’. Strategic Management Journal, 12(6), 449-461. doi: 10.1002/smj.4250120605
Ashcraft, M. H. (2002). Math anxiety: Personal, educational, and cognitive consequences. Current Directions in Psychological Science, 11(5), 181-185.
Ashcraft, M. H., & Krause, J. A. (2007). Working memory, math performance, and math anxiety. Psychonomic Bulletin & Review, 14(2), 243-248. doi: 10.3758/BF03194059
Bagozzi, R. P. (2007). The legacy of the technology acceptance model and a proposal for a paradigm shift. Journal of the Association for Information System, 8(4), 244-254.
Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16, 74–94
Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Englewood Cliffs NJ: Prentice Hall.
Bandura, A. (1997). Self-efficacy. Journal of Harvard Mental Health Letter, 13(9), 4-6.
Basilaia, G., Dgebuadze, M., Kantaria, M., & Chokhonelidze, G. (2020). Replacing the classic learning form at universities as an immediate response to the COVID-19 virus infection in Georgia. International Journal for Research in Applied Science & Engineering Technology, 8(III), 101-108.
Bateman, T. S., & Crant, J. M. (1993). The proactive component of organizational behavior: A measure and correlates. Journal of Organizational Behavior, 14, 103-118.
Bénabou, R. J. M., & Tirole, J. (2002). Self-confidence and personal motivation. The Quarterly Journal of Economics, 117, 871-915.
Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351-370. doi:10.2307/3250921
Bollen, K. A., & Long, J. S. (1993). Testing structural equation models (Vol. 154). CA: Sage.
Bråten, I., & Strømsø, H.I. (2006). Epistemological beliefs, interest, and gender as predictors of Internet-based learning activities. Computers in Human Behavior, 22(6), 1027-1042. doi: 10.1016/j.chb.2004.03.026
Britner, S. L., & Pajares, F. (2006). Sources of science self‐efficacy beliefs of middle school students. Journal of Research in Science Teaching, 43(5), 485-499.
Brown, S. (2005). Assessment for learning. Learning and Teaching in Higher Education, 1(1), 81-89.
Bryan, R. R., Glynn, S. M., & Kittleson, J. M. (2011). Motivation, achievement, and advanced placement intent of high school students learning science. Science Education, 95(6), 1049-1065.
Buss, D. M. (1987). Selection, evocation, and manipulation. Journal of Personality and Social Psychology, 53(6), 1214–1221. doi: 10.1037/0022-3514.53.6.1214
Calvert, T., Wilke, L., Ryman, R., & Fox, I. (2005). Applications of computers to dance. IEEE Computer Graphics and Applications, 25(2), 6-12.
Caprara, G.V., Vecchione, M. Alessandri, G., Gerbino, M., & Barbaranelli, C. (2011). The contribution of personality traits and self-efficacy beliefs to academic achievement: A longitudinal study. British Journal of Educational Psychology, 81(1), 78-96. doi: 10.1348/2044-8279.002004
Carson, J., Harman, K., Webb, S., Kimonis, E., & Kuipers, E. (2001). Assessing and measuring self-esteem in mental health: A comparison of scales in current use. Mental Health and Learning Disabilities Care, 4, 336-339.
Casile, M., Gerard, J.G., & Soto-Ferraria, M. (2021). Gender differences in self-efficacy, acceptance, and satisfaction in business simulations. The International Journal of Management Education, 19(2), 100473. doi: 10.1016/j.ijme.2021.100473
Cauchemez, S., Ferguson, N., Wachtel, C., Tegnell, A., Saour, G., Duncan, B., & Nicoll, A. (2009). Closure of schools during an influenza pandemic. The Lancet Infectious Diseases. 9(8), 473-481. doi:10.1016/S1473-3099(09)70176-8
Cazan, A.M. (2015). Learning Motivation, Engagement and Burnout among University Students. Procedia - Social and Behavioral Sciences, 187, 413–417. doi: 10.1016/j.sbspro.2015.03.077
Chapman, E. (2003). Alternative approaches to assessing student engagement rates. Practical Assessment, Research & Evaluation, 8(13), 1-10.
Chemers, M. M., Hu, L., & Garcia, B.F. (2001). Academic self-efficacy and first year college student performance and adjustment. Journal of Educational Psychology, 93(1), 55-64. doi: 10.1037//0022-0663.93.1.55
Chen, A., & Wang, Y. (2017). The role of interest in physical education: A review of research evidence. Journal of Teaching in Physical Education, 36, 313-322. doi: 10.1123/jtpe.2017-0033
Chiu, C. M., & Wang, E. T. G. (2008). Understanding web-based learning continuance intention: The role of subjective task value. Information & Management, 45(3), 194-201.
Chiu, C. M., Chiu, C. S., & Chang, H. C. (2007). Examining the integrated influence of fairness and quality on learners’ satisfaction and web-based learning continuance intention. Information Systems Journal, 17(3), 271-287.
Chu, J., & Feng, A. (2021). Exploration and Practice of Dance Teaching Mode under the Internet Background. Journal of Physics: Conference Series, 1757, 1-5. doi:10.1088/1742-6596/1757/1/012060
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum.
Cojocariu, V.M., Lazar, I., Nedeff, V., & Lazar, G. (2014). SWOT analysis of e-learning educational services from the perspective of their beneficiaries. Procedia-Social and Behavioral Sciences, 116, 1999–2003.
Connell, J. P., & Wellborn, J. G. (1991). Competence, autonomy, and relatedness: A motivational analysis of self-system processes. The Minnesota Symposia on Child Psychology, 23, 43-77.
Conrad, D. (2006). E-Learning and social change: An apparent contradiction In. M. Beaudoin (Ed.). Perspectives on higher education in the digital age (pp. 21-33) New York: Nova.
Costa, P. T., Jr, & McCrae, R. R. (1992). Four ways five factors are basic. Personality and Individual Differences, 13, 653–665. doi: 10.1016/0191-8869(92)90236-I
Crane, N., Zusho, A., Ding, Y., & Cancelli, A. (2017). Domain-specific metacognitive calibration in children with learning disabilities. Contemporary Educational Psychology, 50, 72–79.
Dağhan, G., & Akkoyunlu, B. (2016). Modeling the continuance usage intention of online learning environments. Computers in Human Behavior, 60, 198-211. doi: 10.1016/j.chb.2016.02.066
Dai, H. M., Teo, T., & Rappa, N. A. (2020). Understanding continuance intention among MOOC participants: The role of habit and MOOC performance. Computers in Human Behavior, 112, 106455.
Dai, H.M., Teo, T., Rappa, N.A., & Huang, F. (2020). Explaining Chinese university students’ continuance learning intention in the MOOC setting: A modified expectation confirmation model perspective. Computers & Education, 150. doi: 10.1016/j.compedu.2020.103850
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and acceptance of information technology. MIS Quarterly, 13(3), 319-340.
De Jong, R. D., Van Der Velde, M. E., & Jansen, P. G. (2001). Openness to experience and growth need strength as moderators between job characteristics and satisfaction. International Journal of Selection and Assessment, 9, 350–356. doi: 10.1111/1468-2389.00186.
Dearborn, K., & Ross, R. (2011). Dance learning and the mirror: comparison study of dance phrase learning with and without mirrors. Journal of Dance Education, 6(4), 109-115. doi: 10.1080/15290824.2006.10387323
DeVellis, R. F. (2016). Scale development: Theory and applications. Chapel Hill, NC: Sage publications.
DeWitt, D., Alias, N., Siraj, S., Yaakub, M. Y., Ayob, J., & Ishak, R. (2013). The potential of YouTube for teaching and learning in the performing arts. Procedia - Social and Behavioral Sciences, 103, 1118–1126.
Dhawan S. (2020). Online Learning: A Panacea in the Time of COVID-19 Crisis. Journal of Educational Technology Systems, 49(1). doi: 10.1177/0047239520934018
Dohn, N. B., Madsen, P. T., & Malte, H. (2009). The situational interest of undergraduate students in zoo physiology. Advances in Physiology Education, 33(3), 196-201.
Dugas, M. J., & Robichaud, M. (2007). Cognitive-behavioral treatment for generalized anxiety disorder: From science to practice. New York, NY: Routledge.
Eastin, M. S. (2006). Video game violence and the female game player: Self- and opponent gender effects on presence and aggressive thoughts. Human Communication Research, 32(3), 351-372. doi:10.1111/j.14682958.2006.00279.x
Efron, B. (1979). Bootstrap methods: Another look at the Jackknife. The Annals of Statistics, 7(1), 1-26.
Efron, B., & Tibshirani, R. (1993). An introduction to the Bootstrap. New York: Chapman & Hall/CRC.
Farh, C. I. C. C., Seo, M. G., & Tesluk, P. E. (2012). Emotional intelligence, teamwork effectiveness, and job performance: The moderating role of job context. Journal of Applied Psychology, 97(4), 890-900. doi: 10.1037/a0027377
Favale, T., Soro, F., Trevisan, M., Drago, I., & Mellia, M. (2020). Campus traffic and e-Learning during COVID-19 pandemic. Computer Networks, 176, 107290.
Finn, J. D. (1989). Withdrawing from school. Review of Educational Research, 59(2), 117-142.
Fırat, M., Kılınç, H., & Yüzer, T.V. (2017). Level of intrinsic motivation of distance education students in e‐learning environments. Journal of Computer-Assisted Learning, 34(1), 63-70. doi: 10.1111/jcal.12214
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: an introduction to theory and research. Boston, MA: Addison- Wesley.
Fleeson, W. (2007). Situation-based contingencies underlying trait-content manifestation in behaviour. Journal of Personality, 75, 825–861.
Flowerday, T., & Shell, D. F. (2015). Disentangling the effects of interest and choice on learning, engagement, and attitude. Learning and Individual Differences, 40, 134-140. doi:10.1016/j.lindif.2015.05.003
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
Foster, C. (2016). Confidence and competence with mathematical procedures. Educational Studies in Mathematics, 91(2), 271-288.
Franken, R. (2006). In human motivation (6th ed.). Florence, KY: Wadsworth.
Fredricks, J. A., Blumenfeld, P. C., & Paris, A. H. (2004). School engagement: Potential of the concept, state of the evidence. Review of Educational Research, 74(1), 59- 109.
Galikyan, I., & Admiraal, W. (2019). Students' engagement in asynchronous online discussion: The relationship between cognitive presence, learner prominence, and academic performance. The Internet and Higher Education, 43, 100692.
Geoffrion, R., Lee, T., & Singer, J. (2013). Validating a self-confidence scale for surgical trainees. Journal of Obstetrics and Gynaecology Canada, 35(4), 355-361. doi:10.1016/S1701-2163(15)30964-6
Gollwitzer, P. M. (1999). Implementation intentions: Strong effects of simple plans. American Psychologist, 54(7), 493-503. doi: 10.1037/0003-066X.54.7.493
Grant, G. M. (2000). Proactive behavior in organizations. Journal of Management, 26 (3), 436-462.
Hachey, A.C., Wladis, C.W., & Conway, K.M. (2014). Do prior online course outcomes provide more information than G.P.A. alone in predicting subsequent online course grades and retention? An observational study at an urban community college. Computers & Education, 72, 59-67.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2019). Multivariate data analysis (8th ed.). Cengage.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2014). A primer on partial least squares structural equation modeling (PLS-SEM). Thousand Oaks, CA: Sage.
Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., & Thiele, K. O. (2017). Mirror, mirror on the wall: A comparative evaluation of composite-based structural equation modeling methods. Journal of the Academy of Marketing Science, 45(5), 616-632.
Hamilton, J. C. (2002). Internet time group. Retrieved from Internet Time Web site: internettime.com/Learning/articles/DNA.pdf
Hara, N., & Kling, R. (1999). Students' frustrations with a web-based distance education course. Peer-reviewed journal on the internet, 4(12). http://firstmonday.org/issues/issue4_12/hara/index.html
Hasmarita, S. (2018). Pengaruh model Pembelajaran Teaching Games for Understanding (TGfU) terhadap Minat Belajar Penjas. Jurnal Olahraga, 1(3), 1–7.
Heyang, T., & Martin, R. (2020). A reimagined world: international tertiary dance education in light of COVID-19. Research in Dance Education, 17. doi: 10.1080/14647893.2020.1780206
Hidi, S., & Harackiewicz, J. M. (2000). Motivating the academically unmotivated: A critical issue for the 21st century. Review of Educational Research, 70(2), 151-179.
Hidi, S., & Renninger, K. A. (2006). The four-phase model of interest development. Educational Psychologist, 41, 111–127.
Hong, J. C, Ye, J. H., & Fan, J. Y. (2019). STEM in fashion design: The roles of creative self-efficacy and epistemic curiosity in creative performance. Eurasia Journal of Mathematics, Science and Technology Education, 15(9), em1742. doi: 10.29333/ejmste/108455
Hong, J. C., Horng, J. S., Lin, C. L., & ChanLin, L. J. (2008). Competency disparity between pre-service teacher education and in-service teaching requirements in Taiwan. International Journal of Educational Development, 28(1), 4-20.
Hong, J. C., Hwang, M. Y., Liu, M. C., Ho, H. Y., & Chen, Y. L. (2014). Using a “prediction-observation- explanation” inquiry model to enhance student interest and intention to continue science learning predicted by their internet cognitive failure. Computers & Education, 72, 110–120. doi: 10.1016/j.compedu.2013.10.004.
Hong, J. C., Hwang, M. Y., Lu, C. H., Cheng, C. L., Lee, Y. C., & Lin, C. L. (2009). Playfulness-based design in educational games: A perspective on an evolutionary contest game. Interactive Learning Environments, 17, 15–35. doi: 10.1080/10494820701483615.
Hong, J. C., Hwang, M. Y., Tai, K. H., & Lin, P. C. (2017). Confusion affects gameplay. Learning and Individual Differences, 59, 119-126
Hong, J. C., Hwang, M. Y., Tai, K. H., & Chen, Y. L. (2014). Using calibration to enhance students’ self-confidence in English vocabulary learning relevant to their judgment of over-confidence and predicted by smartphone self-efficacy and English learning anxiety. Computer & Education, 72, 313-322.
Hong, J. C., Hwang, M. Y., Tai, K. H., & Lin, P. H. (2019). Improving cognitive certitude with calibration mediated by cognitive anxiety, online learning self-efficacy and interest in learning Chinese pronunciation. Educational Technology Research and Development, 67(3), 597-615. doi: 10.1007/s11423-018-9628-4
Hong, J. C., Hwang, M. Y., Tai, K. H., & Ye, J. H. (in press). Raising insects with an application to enhance students’ self-confidence in interacting with insects. Interactive Learning Environments. doi: 10.1080/10494820.2019.1687524 Accepted on October 30, 2019 (SSCI)
Hong, J. C., Lu, C. C., Hwang, M. Y., Kuo, Y. C., Wang, C. C., & Chou, C. Y. (2015). Larvae phobia relevant to anxiety and disgust reflected to the enhancement of learning interest and self-confidence. Learning and Individual Differences, 42, 147-152. doi: 10.1016/j.lindif.2015.08.024
Hsia, L. H., & Hwang, G. J. (2020). From reflective thinking to learning engagement awareness: A reflective thinking promoting approach to improve students’ dance performance, self‐efficacy and task load in flipped learning. British Journal of Educational Technology, 51(6), 2461-2477. doi: 10.1111/bjet.12911
Hsia, L. H., Huang, I. & Hwang, G. J. (2016). Effects of different online peer-feedback approaches on students' performance skills, motivation and self-efficacy in a dance course. Computers & Education, 96, 55-71. doi: 10.1016/j.compedu.2016.02.004
Hsia, L. H., Hwang, G. J., & Lin, C. J. (in press). A WSQ-based flipped learning approach to improving students’ dance performance through reflection and effort promotion. Interactive Learning Environments. doi: 10.1080/10494820.2019.1651744. Accepted on June 26, 2019.
Huang, H. C., Cheng, T. C. E., Huang, W. F., & Ching, C. I. (2018). Impact of online gamers’ personality traits on interdependence, network convergence, and continuance intention: Perspective of social exchange theory. International Journal of Information Management, 38(1), 232-242. doi: 10.1016/j.ijinfomgt.2017.08.009
Huang, X., & Mayer, R. E. (2016). Benefits of adding anxiety-reducing features to a computer-based multimedia lesson on statistics. Computers in Human Behavior, 63, 293-303. doi: 10.1016/j.chb.2016.05.034
Huang, X., Mayer, R. E., & Usher, E. L. (2020). Better together: Effects of four self-efficacy-building strategies on online statistical learning. Contemporary Educational Psychology, 63. doi: 10.1016/j.cedpsych.2020.101924
Huang, X., Zhang, J., & Hudson, L. (2019). Impact of math self-efficacy, math anxiety, and growth mindset on math and science career interest for middle school students: The gender moderating effect. European Journal of Psychology of Education, 34, 621-640. doi: 10.1007/s10212-018-0403-z
Ives, B. (1994). Transforming the learning industry. MIS Quarterly, 18(1), 5-8.
Jaaffar, A. H., Ibrahim, H. I., Rajadurai, J., & Sohail, M. S. (2019). Psychological impact of work-integrated learning programmes in Malaysia: the moderating role of self-esteem on relation between self-efficacy and self-confidence. International Journal of Educational Psychology, 8(2), 188-213. doi: 10.17583/ijep.2019.3389
Jackson, C., Vynnycky, E., & Mangtani, P. (2016) The relationship between school holidays and transmission of influenza in England and Wales. American Journal of Epidemiology, 184(9), 644–651. doi:10.1093/aje/kww083.
Jan, S. K. (2015). The relationships between academic self-efficacy, computer self-efficacy, prior experience, and satisfaction with online learning. American Journal of Distance Education, 29(1), 30-40. doi: 10.1080/08923647.2015.994366
Jarvenpaa, S. L., & Ives, B. (1994). The global network organization of the future: information management opportunities and challenges. Journal of Management Information Systems, 10(4), 25-27. doi: 10.1080/07421222.1994.11518019
Jha, S., Deitz, G. D., Babakus, E., & Yavas, U. 2013. The role of corporate image for quality in the formation of attitudinal service loyalty. Journal of Service Research, 16(2), 155-170.
Jiang, C., & Wang, R. (2019). Implementation of a dance teaching live broadcasting system based on the distance education platform. In V. Sugumaran, Z. Xu, P. Shankar, & Zhou H. (Eds.), Application of intelligent systems in multi-modal information analytics (pp. 67-73). Cham, Switzerland: Springer.
Jin, S. A. A. (2012). Toward integrative models of flow: Effects of performance, skill, challenge, playfulness, and presence on flow in video games. Journal of Broadcasting & Electronic Media, 56, 169–186. doi: 10.1080/08838151.2012.678516.
Jones, A., & Issroff, K. (2005). Learning technologies: Affective and social issues in computer‐supported collaborative learning. Computers & Education, 44(4), 395– 408. doi: 10.1016/j.compedu.2004.04.004
Kane, I., Robertson, R. J., Fertman, C. I., Nagle, E. F., McConnaha, W. R., & Rabin, B. S. (2013). Self-efficacy and enjoyment of middle school children performing the progressive aerobic cardiovascular endurance run (pacer). Perceptual and Motor Skills, 117(2), 470-483. doi: 10.2466/29.25.PMS.117x23z3
Kenny, D. A., Kaniskan, B., & McCoach, D. B. (2015). The performance of RMSEA in models with small degrees of freedom. Sociological Methods & Resarch, 44(3), 486-507.
Khaleghinejad, A., & Ziaaldini, M. (2016). Relationship between employees' safety climate and safety performance with respect to mediating effect of safety knowledge and safety motivation in Sarcheshmeh copper complex. Journal of Health and Safety at Work, 5(4), 69-86.
Krapp, A. (2002). Structural and dynamic aspects of interest development: Theoretical considerations from an ontogenetic perspective. Learning and Instruction, 12(4), 383-409.
Krapp, A. (2005). Basic needs and the development of interest and intrinsic motivational orientations. Learning and Instruction, 15(5), 381-395.
Kuh, G. D. (2003). What we're learning about student engagement from NSSE: Benchmarks for effective educational practices. Change: The Magazine of Higher Learning, 35(2), 24-32.
Kukulu, K., Korukcu, O., Ozdemir, Y., Bezci, A., & Calik, C. (2013). Self‐confidence, gender and academic achievement of undergraduate nursing students. Journal of psychiatric and mental health nursing, 20(4), 330-335. doi: 10.1111/j.13652850.2012.01924.x
Latchem, C., & Lockwood, F. (1998). Staff development in open and flexible learning. New York, NY: Routledge.
Lee, M. K. O., Cheung, C. M. K., & Chen, Z. (2005). Acceptance of Internet based learning medium: the role of extrinsic and intrinsic motivation. Information & Management, 42(8), 1095 1104. doi: 10.1016/j.im.2003.10.007
Leijen, Ä., Admiraal, W., Wildschut, L., & Robert-Jan Simons, P. (2008). Students’ perspectives on e-learning and the use of a virtual learning environment in dance education. Research in Dance Education, 9(2), 147-162.
Leijen, Ä., Lam, I., Wildschut, L., Robert Jan Simons, P., & Admiraal, W. (2009). Streaming video to enhance students' reflection in dance education. Computers & Education, 52(1), 169-176. doi: 10.1016/j.compedu.2008.07.010Get
Li, Z., Zhou, M., & Teo, T. (2018). Mobile technology in dance education: A case study of three Canadian high school dance programs. Research in Dance Education, 19(2), 183–196.
Linnenbrink, E. A., & Pintrich, P. R. (2003). The role of self-efficacy beliefs in student engagement and learning in the classroom. Journal of Reading & Writing Quarterly, 19(2), 119-137.
Lopez, F. G., & Lent, R. W. (1992). Sources of mathematics self-efficacy in high school students. The Career Development Quarterly, 41(1), 3-12. doi: 10.1002/j.21610045.1992.tb00350.x
Lorenza, L., & Carter, D. (2021). Emergency online teaching during COVID-19: A case study of Australian tertiary students in teacher education and creative arts. International Journal of Educational Research Open, 2(2), 100057. doi: 10.1016/j.ijedro.2021.10005
Lovatt, P. (2011). Dance confidence, age and gender. Personality and Individual Differences, 50(5), 668-672. doi: 10.1016/j.paid.2010.12.014
MacKinnon, D. P. (2008). Introduction to statistical mediation analysis. New York, NY: Lawrence Erlbaum Associates.
Maclellan, E. (2014). How might teachers enable learner self-confidence? A review study. Educational Review, 66(1), 59-74. doi: 10.1080/00131911.2013.768601
Marsh, H. W., Hau, K. T., Balla, J. R., & Grayson, D. (1998). Is more ever too much? The number of indicators per factor in confirmatory factor analysis. Multivariate Behavioral Research, 33(2), 181-220. doi: 10.1207/s15327906mbr3302_1
McBrien, J. L., Cheng, R., & Jones, P. (2009). Virtual spaces: Employing a synchronous online classroom to facilitate student engagement in online learning. The International Review of Research in Open and Distributed Learning, 10(3), 1–17.
McCrae, R. R., & Costa, P. T. (1997). Conceptions and correlates of openness to experience. In R. Hogan, J. A. Johnson, & S. R. Briggs (Eds.), Handbook of personality psychology (pp. 825–847). New York, NY: Academic Press. doi: 10.1016/B978-012134645-4/50032-9.
Morejón, J. L. (2020). Dance improvisation research: Embodied self-esteem and self confidence through glass art. Research in Dance Education, 22(1). doi: 10.1080/14647893.2020.1746258
Morris, L. W., Davis, M. A., & Hutchings, C. H. (1981). Cognitive and emotional components of anxiety: Literature review and a revised worry-emotionality scale. Journal of Educational Psychology, 73, 541–555.
Muhammad, A., & Kainat, A. (2020). Online Learning amid the COVID-19 Pandemic: Students' Perspectives. Journal of Pedagogical Sociology and Psychology, 2(1), 45-51.
Nunnally, J. (1978). Psychometric theory (2nd ed.). New York, NY: McGraw-Hill.
O'Donnell, A. M., Reeve, J., & Smith, J. K. (2011). Educational psychology: Reflection for action. New York, NY: John Wiley & Sons.
Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Rresearch, 17 (4), 460 469.
Paranti, L., Zustiyantoro, D., & Kumala, K. (2021). The adaptation strategy of Semarangan dance style’s learning method in UNNES during Covid-19 Pandemic era. In ICOPE 2020 (pp. 16-17) Universitas Lampung, Bandar Lampung, Indonesia.
Park, B., Flowerday, T., & Brünken, R. (2015). Cognitive and affective effects of seductive details in multimedia learning. Computers in Human Behavior, 44, 267-278. doi: 10.1016/j.chb.2014.10.061
Parkes, M., Stein, S., & Reading, C. (2014). Student preparedness for university e-learning environments. The Internet and Higher Education, 25, 1–10. doi: https://doi.org/10.1016/j.iheduc.2014.10.002
Parrish, M. (2016). Toward transformation: Digital tools for online dance pedagogy. Technology and Arts Education Policy, 117(3), 168-182. doi:10.1080/10632913.2016.1187974
Pekrun, R., & Perry, R. P. (2014). Control-value theory of achievement emotions. In R. Pekrun & L. Linnenbrink-Garcia (Eds.), International handbook of emotions in education (pp. 120-141). New York, NY: Routledge.
Pellas, N. (2014). The influence of computer self-efficacy, metacognitive self- regulation and self-esteem on student engagement in online learning programs: Evidence from the virtual world of Second Life. Computers in Human Behavior, 35, 157-170. doi: 10.1016/j.chb.2014.02.048
Peña, J., & Kim, E. (2014). Increasing exergame physical activity through self and opponent avatar appearance. Computers in Human Behavior, 41, 262-267. doi:10.1016/j.chb.2014.09.038
Pervin L. A., & John, O. P. (1997). Personality: Theory and research. Oxford, England: John Wiley & Sons.
Petsilas, P., Leigh, J., Brown, N., & Blackburn, C. (2019). Creative and embodied methods to teach reflections and support students’ learning. Research in Dance Education, 20(1), 19–35.
Pintrich, P. R., & Schunk, D. H. (2002). Motivation in education: Theory, research, andapplications (2nd ed.). Englewood Cliffs, NJ: Merrill/ Prentice Hall.
Powers, K. A., & Candela, L. (2016). Family presence during resuscitation: Impact of online learning on nurses’ perception and self-confidence. American Journal of Critical Care, 25(4), 302-309. doi: 10.4037/ajcc2016814
Putrayasa, I. M., Syahruddin, & Mergunayasa, I. G. (2014). Pengaruh model Pembelajaran discovery learning Dan Minat Belajar Terhadap Hasil Bela-jar IPA Siswa. Jurnal Mimbar PGSD Universitas Pendidikan Ganesha, 2(1), 1–11.
Quadri, N.N., Muhammed, A., Sanober, S., Qureshi, M. R. N. & Shah, A. (2017). Barriers effecting successful implementation of e-learning in Saudi Arabian Universities. International Journal of Emerging Technologies in Learning, 12(6), 94-107.
Raab, R. T., Ellis, W. W., & Abdon, B. R. (2001). Multisectoral partnerships in e- learning: a potential force for improved human capital development in the Asia Pacific. The Internet and Higher Education, 4(3), 217 229.
Reeve, J. (2013). How students create motivationally supportive learning environments for themselves: The concept of agentic engagement. Journal of Educational Psychology, 105(3), 579-595.
Reiss, S., & McNally, R. J. (1985). Expectancy model of fear. In S. Reiss, & R. Bootzin (Eds.), Theoretical issues in behavior therapy (pp. 107-121). New York: Academic Press.
Renninger, K. A., & Hidi, S. E. (2016). The power of interest for motivation and engagement. New York, NY: Routledge.
Renninger, K. A., & Su, S. (2012). Interest and its development. In R. M. Ryan (Ed.), The Oxford handbook of human motivation (pp. 167–187). New York, NY: Oxford University Press.
Reschly, A. L., Appleton, J. J., & Pohl, A. (2014). Best practices in fostering student engagement. In A. Thomas & P. Harrison (Eds.), Best practices in school psychology (6th ed.). Bethesda, MD: National Association of School Psychologists.
Risner, D. (2017). New reflective practice research in dance education. Journal of Dance Education, 17(3), 89–90.
Roeser, R. W., & Peck, S. (2009). An education in awareness: Self, motivation, and self-regulated learning in contemplative perspective. Educational Psychologist, 44(2),119–136. doi: 10.1080/00461520902832376
Rosenberg, M. J. (1965). When dissonance fails: On eliminating evaluation apprehension from attitude measurement. Journal of Personality and Social Psychology, 1(1), 28–42. doi: 10.1037/h0021647
Rotgans, J. I., & Schmidt, H. G. (2018). How individual interest influences situational interest and how both are related to knowledge acquisition: A microanalytical investigation. The Journal of Educational Research, 111(5), 530-540. doi:10.1080/00220671.2017.1310710
Rotgansa, J. I., & Schmidt, H. G. (2017). Interest development: Arousing situational interest affects the growth trajectory of individual interest. Contemporary Educational Psychology, 49, 175-184. doi: 10.1016/j.cedpsych.2017.02.003
Ryan, R. M., & Deci, E. L. (2000). Intrinsic and extrinsic motivations: Classic definitions and new directions. Contemporary Educational Psychology, 25(1), 54 67.
Sakiz, G., Pape, S. J., & Hoy, A. W. (2012). Does perceived teacher affective support matter for middle school students in mathematics classrooms? Journal of school Psychology, 50(2), 235-255.
Salo, A. (2019). The power of dance: How dance effects mental and emotional health and self-confidence in young adults. Master's Theses (133) of University of Northern Colorado.
Sansone, C., & Thoman, D. B. (2005). Interest as the missing motivator in self-regulation. European Psychologist, 10(3), 175–186.
Sari, T., & Nayır, F. (2020). Challenges in distance education during the (Covid-19) pandemic period. Qualitative Research in Education, 9(3). doi: 10.17583/qre.2020.5872
Schiefele, U. (1991). Interest, learning, and motivation. Educational Psychologist, 26(3-4), 299-323.
Schmidt, R. A., & Lee, T. D. (2011). Motor control and learning: A behavioral emphasis (5th ed.). Champaign, IL: Human Kinetics.
Schmidt, R. A., & Wrisberg, C. A. (2008). Motor learning and performance: A situation-based learning approach (4th ed.). Champaign, IL: Human Kinetics.
Schraw, G., & Lehman, S. (2001). Situational interest: A review of the literature and directions for future research. Educational Psychology Review, 13(1), 23 – 52.
Schraw, G., Flowerday, T., & Lehman, S. (2001). Situational interest in the classroom. Educational Psychology Review, 13(3), 211 – 224.
Seibert, S. E., Kraimer, M. L., & Crant, J. M. (2001). What do proactive people do? A longitudinal model linking proactive personality and career success. Personnel Psychology, 54(4), 845–874.
Shrauger, J. S., & Schohn, M. (1995). Self-confidence in college students: Conceptualization, measurement, and behavioral implications. Assessment, 2(3), 255-278.
Shukor, N.A., Tasir, Z., Meijden, H.V.D., & Harun, J. (2014). A predictive model to evaluate students’ cognitive engagement in online learning. Procedia - Social and Behavioral Sciences, 116(21), 4844-4853.
Siedentop, D. (1991). Developing teaching skills in physical education (3rd ed.). Palo Alto, CA: Mayfield.
Singh, V. & Thurman, A. (2019). How many ways can we define online learning? A systematic literature review of definitions of online learning (1988-2018). American Journal of Distance Education, 33(4), 289–306.
Skinner, E., Furrer, C., Marchand, G., & Kindermann, T. (2008). Engagement and disaffection in the classroom: Part of a larger motivational dynamic? Journal of Educational Psychology, 100(4), 765-781. doi: 10.1037/a0012840
Sohrabi, C., Alsafi, Z., O’Neill, N., Khan, M., Kerwan, A., Al-Jabir, A., Losifidis, C., & Agha, R. (2020). World Health Organization declares global emergency: A review of the 2019 novel coronavirus (COVID-19). International Journal of Surgery, 76, 71-76.
Song, L., Singleton, E. S., Hill, J. R., Koh, M. H. (2004). Improving online learning: Student perceptions of useful and challenging characteristics. The Internet and Higher Education, 7(1), 59–70.
Sööt, A. & Leijen, A. (2012). Designing support for reflection activities in tertiary dance education. Procedia-Social and Behavioral Sciences, 45, 448-456.
Sööt, A., & Viskus, E. (2014). Contemporary approaches to dance pedagogy – The challenges of the 21st century. Procedia – Social and Behavioral Sciences, 112, 290–299.
Spector, J.M., Merrill, M.D., Merrienboer, J.V., Driscoll, M.P. (2008). Handbook of research on educational communications and technology (3rd ed.) New York: Springer.
Spielberger, C. D. (1972). Anxiety: Current trends in theory and research. NY: Academic Press.
Spielberger, C. D. (1975). Anxiety: State-trait process. Stress and Anxiety, 1, 115-143.
Stankov, L., Lee, J., Luo, W., & Hogan, D. J. (2012). Confidence: A better predictor of academic achievement than self-efficacy, self-concept and anxiety? Learning and Individual Differences, 22(6), 747-758. doi: 10.1016/j.lindif.2012.05.013
Stern, C., & West, T. V. (2014). Circumventing anxiety during interpersonal encounters to promote interest in contact: an implementation intention approach. Journal of Experimental Social Psychology, 50, 82–93.
Stewart, S. H., Taylor, S., Jang, K. L., Cox, B. J., Watt, M. C., & Fedoroff, I. C (2001). Causal modeling of relations among learning history, anxiety sensitivity, and panic attacks. Behaviour Research and Therapy, 39, 443-456.
Taber, K. S. (2017). The use of Cronbach’s alpha when developing and reporting research instruments in science education. Research in Science Education, 48, 1273-1296. doi: 10.1007/s11165-016-9602-2
Tai, K. F. (2005). Applying e-learning into college English courses. Journal of Education and Foreign Language and Literature, 2, 43-52. doi: 10.6372/JEFLL.200512.0043
Teng, C. I., Huang, H. C., & Chen, J. L. (2015). Social networking and continuance intention among online gamers. Tai Da Guan Li Lun Cong; Taiwan, 25(2), 1-22. doi:10.6226/NTUMR.
Tett, R. P., & Burnett, D. D. (2003). A personality trait-based interactionist model of job performance. Journal of Applied Psychology, 88, 500–517. doi: 10.1037/0021-9010.88.3.500.
Tett, R. P., & Guterman, H. A. (2000). Situation trait relevance, trait expression, and cross-situational consistency: Testing a principle of trait activation. Journal of Research in Personality, 34, 397–423. doi: 10.1006/jrpe.2000.2292.
Tett, R. P., Simonet, D. V., Walser, B., & Brown, C. (2013). Trait activation theory. In N.D. Christiansen & R. P. Tett (Eds.), Handbook of personality at work (pp. 71–100). New York, NY: Routledge.
United Nations Educational, Scientific and Cultural Organization COVID-19 educational disruption and response https://en.unesco.org/themes/education-emergencies/coronavirus-school-closures (2020), Accessed 19th Mar 2020 http://firstmonday.org/issues/issue4_12/hara/index.html
van Dinther, M., Dochy, F., & Segers, M. (2011). Factors affecting students' self-efficacy in higher education. Educational Research Review, 6(2), 95-108.
Van Riel, A.C.R., Liljander, V., & Jurriens, P. (2001). Exploring consumer evaluations of e-services: A portal site. International Journal of Service Industry Management, 12(4), 359-377.
Vealey, R. S. (1986). Conceptualization of sport-confidence and competitive orientation: Preliminary investigation and instrument development. Journal of Sport and Exercise Psychology, 8(3), 221-246. doi: 10.1123/jsp.8.3.221
Vernon, P. A., Martin, R. A., Schermer, J. A., & Mackie, A. (2008). A behavioral genetic investigation of humor styles and their correlations with the Big-5 personality dimensions. Personality and Individual Differences, 44, 1116–1125. doi: 10.1016/j.paid.2007.11.003.
Visser, L. N. C., Hillen, M. A., Verdam, M. G. E., Bol, N., de Haes, H. C. J. M., & Smets, E. M.A. (2016). Assessing engagement while viewing video vignettes; validation of the Video Engagement Scale (VES). Patient Education and Counseling, 99, 227–235.
Vongkulluksn, V.W., Matewos, A.M., Sinatra, G.M., & Marsh, J.A. (2018). Motivational factors in makerspaces: a mixed methods study of elementary school students’ situational interest, self-efficacy, and achievement emotions. International Journal of STEM Education, 5(43), 1-19.
Wang, C.H., Shannon, D.M., & Ross, M.E. (2013). Students' characteristics, self-regulated learning, technology self-efficacy, and course outcomes in online learning. Distance Education, 34(3), 302-323.
Weinberg, B. A. (2009). A model of overconfidence. Pacific Economic Review, 14, 502–515.
WHO Director-General's opening remarks at the mission briefing on COVID-19 https://www.who.int/dg/speeches/detail/who-director-general-s-opening-remarks-at-the-mission-briefing-on-covid-19 (2020), Accessed 12th Mar 2020
Wigfield, A. (1994). Expectancy-value theory of achievement motivation: A developmental perspective. Journal of Educational Psychology Review, 6, 49-78.
Xie, K., Heddy, B.C., & Greene, B.A. (2019). Affordances of using mobile technology to support experience-sampling method in examining college students' engagement. Computers & Education, 128, 183-198.
Yoo, S. J., Han, S. H., & Huang, W. (2012). The roles of intrinsic motivators and extrinsic motivators in promoting e learning in the workplace: A case from South Korea. Computers in Human Behavior, 28 (3), 942 950. doi: 10.1016/j.chb.2011.12.015
You, Y. (2019). Online technologies in dance education (China and worldwide experience). Research in Dance Education. doi: 10.1080/14647893.2020.1832979
Yu, S., Chen, B., Levesque-Bristol, C., Vansteenkiste, M. (2018). Chinese education examined via the lens of self-determination. Educational Psychology Review, 30, 177-214. doi: 10.1007/s10648-016-9395-x
Zainudin, A. (2015). SEM made simple, a gentle approach to learning structural equation modeling. Selangor, MY: MPWS Rich Publication.
Zhang, S., Zhao, J., & Tan, W. (2008). Extending TAM for online learning systems: An intrinsic motivation perspective. Tsinghua Science & Technology, 13(3), 312-317. doi: 10.1016/S1007-0214(08)70050-6
Zimmerman, W. A., & Kulikowich, J. M. (2016). Online learning self-efficacy in students with and without online learning experience. American Journal of Distance Education, 30(3), 180-191. doi: 10.1080/08923647.2016.1193801