研究生: |
許惠雯 Hsu, Hui-Wen |
---|---|
論文名稱: |
探討疫情期間高等教育學生之學習滿意度,主動學習風格以及學術自我效能間之關聯性:鎖定台灣地區之研究 The Relationships between Active Learning, Academic Self-Efficacy and Learning Satisfaction in E-learning of Higher Education Students in Taiwan |
指導教授: |
賴志樫
Lai, Chih-Chien |
口試委員: |
賴志樫
Lai, Chih-Chien 盧承杰 Lu, Cheng-Chieh 李栢浡 Lee, Pai-Po |
口試日期: | 2024/06/11 |
學位類別: |
碩士 Master |
系所名稱: |
國際人力資源發展研究所 Graduate Institute of International Human Resource Developmemt |
論文出版年: | 2024 |
畢業學年度: | 112 |
語文別: | 英文 |
論文頁數: | 65 |
英文關鍵詞: | E-learning, learning satisfaction, learning style, academic self-efficacy, higher education student |
研究方法: | 調查研究 |
DOI URL: | http://doi.org/10.6345/NTNU202401228 |
論文種類: | 學術論文 |
相關次數: | 點閱:87 下載:3 |
分享至: |
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Many education institutions had change to online way of learning during pandemic in order to maintain school activities and student's obligation of learning. Although online learning changed student's learning behaviors, learning style and replace the traditional way of learning. It became an important issue not only for the organization but also for schools. This study had focused on investigating the connection among academic self-efficacy, active learning, and e-learning satisfaction since technology bring us lots of social media platforms and social networking sites have proven to be valuable tools in enhancing online learning due to their fantastic interactive capabilities. In the future, will there be more online class and replace physical courses? The study would like to know more about whether students equipped with active learning and self-efficacy will have the better learning outcomes. Research data was collected among universities in Taiwan, using quantitative study with a sample size of 276 participants which utilize online survey to collect. IBM SPSS was applied to analysis descriptive statistics, the correlations between each variable and hierarchical regression. The result showed that all the hypotheses had been supported and with the significant correlations. Active learning and academic self-efficacy are positively related with learning satisfaction. Additionally, academic self-efficacy does mediate the relationship between active learning and learning satisfaction. Not only the research provides the practical implications for schools and organizations to have the concept whether to implement more e-learning courses in their future life but also realizes the challenges in current situations.
Artino, A. R. (2008). Motivational beliefs and perceptions of instructional quality: Predicting satisfaction with online training. Journal of Computer Assisted Learning, 24(3), 260–270. https://doi.org/10.1111/j.1365-2729.2007.00258.x
Alias, N., DeWitt, D., & Siraj, S. (2014). An evaluation of gas law webQuest based on active learning style in a secondary school in Malaysia. EURASIA Journal of Mathematics, Science and Technology Education, 10(3), 113-130. https://doi.org/10.12973/eurasia.2014.1074a
Alqurashi, E. (2018). Predicting student satisfaction and perceived learning within online learning environments. Distance Education, 40(1), 133–148. https://doi.org/10.1080/01587919.2018.1553562
Al-Balas, M., Al-Balas, H. I., Jaber, H. M., Obeidat, K., Al-Balas, H., Aborajooh, E. A., Al-Taher, R., & Al-Balas, B. (2020). Distance learning in clinical medical education amid COVID-19 pandemic in Jordan: Current situation, challenges, and perspectives. BMC Medical Education, 20(1), 1–7. https://doi.org/10.1186/s12909-020-02257-4
Bonwell, C., & Eison, J. A. (1991). Active Learning; Creating excitement in the classroom. George Washington University, School of Education and Human Development, 1, 2–121. https://eric.ed.gov/?id=ED336049
Bandura, A. (1997). Self-efficacy in changing societies. Cambridge University Press.
Bolliger, D. U. (2004). Key factors for determining student satisfaction in online courses. International Journal on E-learning, 3(1), 61–67. https://www.learntechlib.org/p/2226/
Beetham, H., & Sharpe, R. (2007 Eds.). Rethinking pedagogy for a digital age: Designing and delivering e-learning. Routledge. https://doi.org/10.4324/9780203961681
Bassi, M., Steca, P., Fave, A. D., & Caprara, G. V. (2007). Academic self-efficacy beliefs and quality of experience in learning. Journal of Youth and Adolescence, 36(3), 301–312.
https:// doi.org /10.1007/s10964-006-9069-y
Bereiter, C., & Scardamalia, M. (2008). Toward research-based innovation. Innovating to Learn, Learning to Innovate, 5(1), 67–87.
Brittan-Powell, C., Legum, H., & Taylor, E. (2008). The relationship between student learning style, selection of course delivery format, and academic performance. International Journal of Instructional Technology and Distance Learning, 5(5), 41–46. https://itdl.org/Journal/May_08/May_08.pdf#page=45
Branscum, P., Sharma, M., Wang, L. L., Wilson, B., & Rojas-Guyler, L. (2012). A Process Evaluation of a Social Cognitive Theory–Based Childhood Obesity Prevention Intervention. Health Promotion Practice, 14(2), 189–198. https://doi.org/10.1177/1524839912437790.
Bollinger, D. U., & Erichsen, E. A. (2013). Student satisfaction with blended and online courses based on personality type. Canadian Journal of Learning & Technology, 39(1), 1–23. https://www.learntechlib.org/p/54423/
Bean, J. C. (2014). Engaging ideas: The professor’s guide to integrating writing, critical thinking, and active learning in the classroom. Family Medicine, 46(2), 143.
Bernard, R. M., Borokhovski, E., Schmid, R. F., Tamim, R. M., & Abrami, P. C. (2014). A meta-analysis of blended learning and technology use in higher education: From the general to the applied. Journal of Computing in Higher Education, 26(2), 87–122. https://doi.org/10.1007/s12528-013-9077-3
Bradley, L. J., Meyer, K. E., Robertson, T. C., Kerr, M. S., Maddux, S. D., Heck, A. J., Reeves, R. E., & Handler, E. K. (2023). A mixed method analysis of student satisfaction with active learning techniques in an online graduate anatomy course: Consideration of demographics and previous course enrollment. Anatomical Sciences Education, 16(5), 907–925. https://doi.org/10.1002/ase.2276
Cho, M. H., & Heron, M. L. (2015). Self-regulated learning: The role of motivation, emotion, and use of learning strategies in students’ learning experiences in a self-paced online mathematics course. Distance Education, 36(1), 80–99. https://doi.org/10.1080/01587919.2015.1019963
Cheng, G., & Chau, J. (2016). Exploring the relationships between learning styles, online participation, learning achievement and course satisfaction: An empirical study of a blended learning course. British Journal of Educational Technology, 47(2), 257–278. https://doi.org/10.1111/bjet.12243
Chen, Y. H., & Keng, C. J. (2019). Utilizing the push-pull-mooring-habit framework to explore users’ intention to switch from offline to online real-person English learning platform. Internet Research, 29(1), 167–193. https://doi.org/10.1108/IntR-09-2017-0343.
Canpolat, A. M. (2019). The relationship between academic self-efficacy, learning Styles and epistemological beliefs: A study on the students of the school of physical education and sports. Cypriot Journal of Educational Sciences, 14(4), 610–617. https://doi.org/10.18844/cjes.v11i4.4401
Elias, S. M., & MacDonald, S. (2007). Using past performance, proxy efficacy, and academic self‐efficacy to predict college performance. Journal of Applied Social Psychology, 37(11), 2518–2531. Retrieved from http://www.astd.org/LC/2004/0704_allen.htm.
Elliott, L. J., Rice, S., Trafimow, D., Madson, L., & Hipshur, M. F. (2010). Research participation versus classroom lecture: A comparison of student learning. Teaching of Psychology, 37(2), 129–131. https://doi.org/10.1080/00986281003626862
Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., & Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences, 111(23), 8410–8415. https://doi.org/10.1073/pnas.1319030111
Fook, C. Y., Dalim, S. F., Narasuman, S., Sidhu, G. K., Fong, L. L., & Keang, K. M. (2015). Relationship between active learning and self-efficacy among students in higher education. International Academic Research Journal of Social Science, 1(2), 139–149.
Fauzi, M. A. (2022). E-learning in higher education institutions during COVID-19 pandemic: current and future trends through bibliometric analysis. Heliyon, 8(5). https://doi.org/10.1016/j.heliyon.2022.e09433
Harmon-Jones, E., & Harmon-Jones, C. (2012). Cognitive dissonance theory. Handbook of motivation science, 71(1), 1-13.
Hakim, S. R., Kustijono, R., & Wiwin, E. (2019). The use of android-based teaching materials in physics learning process at vocational high school. Journal of Physics: Conference Series. https://doi.org/10.1088/1742-6596/1171/1/012024
Hussain, A., Mkpojiogu, E. O., & Ezekwudo, C. C. (2021). Improving the academic self-efficacy of students using mobile educational apps in virtual learning: A Review. International Journal of Interactive Mobile Technologies, 15(6), 149–150. https://doi.org/10.3991/ijim.v15i06.20627
Hong, J. C., Cao, W., Liu, X., Tai, K. H., & Zhao, L. (2023). Personality traits predict the effects of Internet and academic self-efficacy on practical performance anxiety in online learning under the COVID-19 lockdown. Journal of Research on Technology in Education, 55(3), 426–440. https://doi.org/10.1080/15391523.2021.1967818
Iftode, D. (2019). Generation Z and learning styles. SEA–Practical Application of Science, 7(21), 255–262. https://www.ceeol.com/search/article-detail?id=839305
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. https://doi.org/10.1080/08923647.2015.994366.
Ke, F., & Kwak, D. (2013). Online learning across ethnicity and age: A study on learning interaction participation, perception, and learning satisfaction. Computers & Education, 61, 43-51. https://doi.org/10.1016/j.compedu.2012.09.003
Komarraju, M., & Nadler, D. (2013). Self-efficacy and academic achievement: Why do implicit beliefs, goals, and effort regulation matter? Learning and Individual Differences, 25, 67–72. https://doi.org/10.1016/j.lindif.2013.01.005
Khan, A., Egbue, O., Palkie, B., & Madden, J. (2017). Active learning: Engaging students to maximize learning in an online course. Electronic Journal of E-learning, 15(2), 107–115. https://academic-publishing.org/index.php/ejel/article/view/1824
Lim, C. K. (2001). Computer self‐efficacy, academic self‐concept, and other predictors of satisfaction and future participation of adult distance learners. American Journal of Distance Education, 15(2), 41–51. https://doi.org/10.1080/08923640109527083
Lent, R. W., Taveira, M. D. C., Sheu, H. B., & Singley, D. (2009). Social cognitive predictors of academic adjustment and life satisfaction in Portuguese college students: A longitudinal analysis. Journal of Vocational Behavior, 74(2), 190–198. https://doi.org/10.1016/j.jvb.2008.12.006
Liao, Y. W., Huang, Y. M., Huang, S. H., Chen, H. C., & Wei, C. W. (2019). Exploring the switching intention of learners on social network-based learning platforms: a perspective of the push–pull–mooring model. Eurasia Journal of Mathematics, Science and Technology Education, 15(9). https://doi.org/10.29333/ejmste/108483
Lin, C. L., Yu, S. W., Su, Y. S., Fu, F. L., & Lin, Y. T. (2019). Charismatic learning: Students’ satisfaction with e-learning in higher education. Journal of Internet Technology, 20(5), 1665–1672.
Lai, C. C., Shih, T. P., Ko, W. C., Tang, H. J., & Hsueh, P. R. (2020). Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and coronavirus disease-2019 (COVID-19): The epidemic and the challenges. International Journal of Antimicrobial Agents, 55(3), 1-9. https://doi.org/10.1016/j.ijantimicag.2020.105924
Liu, Z. Y., Lomovtseva, N., & Korobeynikova, E. (2020). Online learning platforms: Reconstructing modern higher education. International Journal of Emerging Technologies in Learning, 15(13), 4–21. https://doi.org/10.3991/ijet.v15i13.14645
Liu, C., Zou, D., Chen, X., Xie, H., & Chan, W. H. (2021). A bibliometric review on latent topics and trends of the empirical MOOC literature (2008–2019). Asia Pacific Education Review, 22(3), 515–534. https://link.springer.com/article/10.1007/s12564-021-09692-y
Muilenburg, L. Y., & Berge, Z. L. (2005). Student barriers to online learning: A factor analytic study. Distance Education, 26(1), 29–48. https://doi.org/10.1080/01587910500081269
McCoy, L., Pettit, R. K., Kellar, C., & Morgan, C. (2018). Tracking active learning in the medical school curriculum: a learning-centered approach. Journal of Medical Education and Curricular Development, 5(1), 1–9. https://doi.org/10.1177/2382120518765135
Moore, J. L., Dickson-Deane, C., & Galyen, K. (2011). e-Learning, online learning, and distance learning environments: Are they the same? The Internet and Higher Education, 14(2), 129–135. https://doi.org/10.1016/j.iheduc.2010.10.001
Michou A, Mouratidis A, Lens W, et al. (2013) Personal and contextual antecedents of achievement goals: Their direct and indirect relations to students’ learning strategies. Learning and Individual Differences, 23, 187–194. https://doi.org/10.1016/j.lindif.2012.09.005
Niemi, H. (2002, October). Active learning—a cultural change needed in teacher education and schools. Teaching and Teacher Education, 18(7), 763–780. https://doi.org/10.1016/s0742-051x(02)00042-2
Nichols, M. (2003). A theory for eLearning. Journal of Educational Technology & Society, 6(2), 1–10. https://www.jstor.org/stable/jeductechsoci.6.2.1
Nelson Laird, T. F. (2005). College students’ experiences with diversity and their effects on academic Self-confidence, social agency, and disposition toward critical thinking. Research in Higher Education, 46(4), 365–387. https://doi.org/10.1007/s11162-005-2966-1
Oros, Andrew L. (2007). "Let’s debate: active learning encourages student participation and critical thinking." Journal of Political Science Education, 3(3), 293–311. https://doi.org/10.1080/15512160701558273
Özkök, A., Walker, S. L., & Büyüköztürk, Ş. (2009). Reliability and validity of a Turkish version of the DELES. Learning Environments Research, 12(3), 175–190. https://doi.org/10.1007/s10984-009-9060-0
Prince, M. (2004). Does active learning work? A review of the research. Journal of Engineering Education, 93(3), 223–231. https://doi.org/10.1002/j.2168- 9830. 2004.tb00809.x
Pletka, B. (2007). Educating the Net Generation: How to engage students in the 21st century. Santa Monica Press. Retrieved from https://www.educause.edu/research-and-publications/books/educating-net-generation
Peng, L., Deng, Y., & Jin, S. (2022). The evaluation of active learning classrooms: impact of spatial factors on students’ learning experience and learning engagement. Sustainability, 14(8), 4839. https://doi.org/10.3390/su14084839
Richardson, M., Abraham, C., & Bond, R. (2012). Psychological correlates of university students’ academic performance: A systematic review and meta-analysis. Psychological Bulletin, 138(2), 353–387. https://doi.org/10.1037/a0026838
Riley, J., & Ward, K. (2015). Active learning, cooperative active learning, and passive learning methods in an accounting information systems course. Issues in Accounting Education, 32(2), 1–16. https://doi.org/10.2308/iace-51366
Rivers, D. J. (2021). The role of personality traits and online academic self-efficacy in acceptance, actual use and achievement in Moodle. Education and Information Technologies, 26(4), 4353–4378. https://doi.org/10.1007/s10639-021-10478-3
Rohmani, N., & Andriani, R. (2021). Correlation between academic self-efficacy and burnout originating from distance learning among nursing students in Indonesia during the coronavirus disease 2019 pandemic. Journal of Educational Evaluation for Health Professions, 18, 1-6. https://doi.org/10.3352/jeehp.2021.18.9
Spiker, C. C. (1977). Behaviorism, cognitive psychology and the active organism. In N. Datan & H. W. Reese (Eds.), Life-span developmental psychology: Dialectical perspectives on experimental research New York: Academic Press, 12(1), 93-103. https://doi.org/10.1016/S0065-2407(08)60283-9
Sackmary, B. (1998). Internet survey research: Practices, problems, and prospects. In American marketing association. Conference proceedings. American Marketing Association, 9, 41-44. Retrieved from https://www.proquest.com/openview/ac29eceada8ef04065e14/1?pq-origsite=gscholar&cbl=35292
Seifert, T. (2004). Understanding student motivation. Educational Research, 46(2), 137–149. https://doi.org/10.1080/0013188042000222421
Sun, P. C., Tsai, R. J., Finger, G., Chen, Y. Y., & Yeh, D. (2008). What drives a successful e-Learning? An empirical investigation of the critical factors influencing learner satisfaction. Computers & Education, 50(4), 1183–1202. https://doi.org/10.1016/j.compedu.2006.11.007
Sadi, O., & Uyar, M. (2013). The relationship between self-efficacy, self-regulated learning strategies, and achievement: A path model. Journal of Baltic Science Education, 12(1), 21–33. https://doi.org/10.33225/jbse/13.12.21
Shen, D., Cho, M. H., Tsai, C. L., & Marra, R. (2013). Unpacking online learning experiences: Online learning self-efficacy and learning satisfaction. The Internet and Higher Education, 19, 10–17. https://doi.org/10.1016/j.iheduc.2013.04.001.
Samsuri, N. N., Nadzri, F. A., & Rom, K. B. M. (2014). A study on the student's perspective on the effectiveness of using e-learning. Procedia-Social and Behavioral Sciences, 123, 139–144. https://doi.org/10.1016/j.sbspro.2014.01.1407
Suci, Candra, W. L., Murtono, Suryani, & Budi, F. (2021). Constraints in implementing online learning during the covid-19 pandemic. Journal of Physics: Conference Series, 1823(1). https://doi.org/10.1088/1742-6596/1823/1/012088
Topala, I., & Tomozii, S. (2014). Learning satisfaction: Validity and reliability testing for Students’ Learning Satisfaction Questionnaire (SLSQ). Procedia - Social and Behavioral Sciences, 128, 380–386. https://doi.org/10.1016/j.sbspro.2014.03.175
Twycross, A. (2004). Research design: qualitative, quantitative and mixed methods approaches Research design: qualitative, quantitative and mixed methods approach Creswell John W Sage 320 £29 0761924426 0761924426. Nurse Researcher, 12(1), 82–83. https://doi.org/10.7748/nr.12.1.82.s2
Ursachi, G., Horodnic, I. A., & Zait, A. (2015). How reliable are measurement scales? External factors with indirect influence on reliability estimators. Procedia Economics and Finance, 20, 679–686. https://doi.org/10.1016/s2212-5671(15)00123-9
Valasek, T. (2001). Student Persistence in Web-Based Courses: Identifying a Profile for Success. Retrieved from https://eric.ed.gov/?id=ED466276
Valverde-Berrocoso, J., Garrido-Arroyo, M. D. C., Burgos-Videla, C., & Morales-Cevallos, M. B. (2020). Trends in educational research about e-learning: A systematic literature review (2009–2018). Sustainability, 12(12), 5153. https://doi.org/10.3390/su12125153
Walker, C. O., Greene, B. A., & Mansell, R. A. (2006). Identification with academics, intrinsic/extrinsic motivation, and self-efficacy as predictors of cognitive engagement. Learning and Individual Differences, 16(1), 1–12. https://doi.org/10.1016/j.lindif.2005.06.004
Walker, S. L., & Fraser, B. J. (2005). Development and validation of an instrument for assessing distance education learning environments in higher education: The distance education learning environments survey (DELES). Learning Environments Research, 8(3), 289–308. https://doi.org/10.1007/s10984-005-1568-3
Worrell, J. H. (1992). Creating excitement in the chemistry classroom: Active learning strategies. Journal of Chemical Education, 69(11), 913. https://doi.org/10.1021/ed069p913
Yair, G. (2000). Reforming motivation: How the structure of instruction affects students’ learning experiences. British Educational Research Journal, 26(2), 191–210. https://doi.org/10.1080/01411920050000944
Zhen, R., Liu, R. D., Ding, Y., Wang, J., Liu, Y., & Xu, L. (2017). The mediating roles of academic self-efficacy and academic emotions in the relation between basic psychological needs satisfaction and learning engagement among Chinese adolescent students. Learning and Individual Differences, 54, 210–216. https://doi.org/10.1016/j.lindif.2017.01.017