Linking web-based learning self-efficacy and learning engagement in MOOCs: The role of online academic hardiness

Internet and Higher Education - Tập 51 - Trang 100819 - 2021
Tonny Menglun Kuo1, Chin-Chung Tsai2, Jyun-Cheng Wang1
1Institute of Service Science, National Tsing Hua University, Hsinchu, Taiwan
2Program of Learning Sciences and Institute for Research Excellence in Learning Sciences, National Taiwan Normal University, Taipei, Taiwan

Tài liệu tham khảo

Abdollahi, 2018, Academic hardiness: Mediator between sense of belonging to school and academic achievement?, The Journal of Educational Research, 111, 345, 10.1080/00220671.2016.1261075 Al-Maroof, 2020, Fear from COVID-19 and technology adoption: The impact of Google meet during coronavirus pandemic, Interactive Learning Environments, 1, 10.1080/10494820.2020.1830121 Artino, 2012, Academic self-efficacy: From educational theory to instructional practice, Perspectives on Medical Education, 1, 76, 10.1007/S40037-012-0012-5 Artino, 2012, Exploring the complex relations between achievement emotions and self-regulated learning behaviors in online learning, The Internet and Higher Education, 15, 170, 10.1016/j.iheduc.2012.01.006 Baker, 2016, A randomized experiment testing the efficacy of a scheduling nudge in a massive open online course (MOOC), AERA Open, 2, 10.1177/2332858416674007 Bandura, 1986 Bandura, 2001, Social cognitive theory: An agentic perspective, Annual Review of Psychology, 52, 1, 10.1146/annurev.psych.52.1.1 Barak, 2016, Motivation to learn in massive open online courses: Examining aspects of language and social engagement, Computers & Education, 94, 49, 10.1016/j.compedu.2015.11.010 Bates, 2007, Self-efficacy and college students’ perceptions and use of online learning systems, Computers in Human Behavior, 23, 175, 10.1016/j.chb.2004.04.004 Becker, 2017 Ben-Eliyahu, 2018, Investigating the multidimensionality of engagement: Affective, behavioral, and cognitive engagement across science activities and contexts, Contemporary Educational Psychology, 53, 87, 10.1016/j.cedpsych.2018.01.002 Benishek, 2005, Development and evaluation of the revised academic hardiness scale, Journal of Career Assessment, 13, 59, 10.1177/1069072704270274 Benishek, 2001, Development and initial validation of a measure of academic hardiness, Journal of Career Assessment, 9, 333, 10.1177/106907270100900402 Broadbent, 2017, Comparing online and blended learner’s self-regulated learning strategies and academic performance, The Internet and Higher Education, 33, 24, 10.1016/j.iheduc.2017.01.004 Brooks, D. (2012, May 3). The campus tsunami. The New York Times. http://www.nytimes.com/2012/05/04/opinion/brooks-the-campus-tsunami.html?_r=0. Carnoy, 2012, Who attends and completes virtual universities: The case of the open University of Catalonia (UOC), Higher Education, 63, 53, 10.1007/s10734-011-9424-0 Chemers, 2001, Academic self-efficacy and first year college student performance and adjustment, Journal of Educational Psychology, 93, 55, 10.1037/0022-0663.93.1.55 Chen, 2018, Fostering student engagement in online discussion through social learning analytics, The Internet and Higher Education, 37, 21, 10.1016/j.iheduc.2017.12.002 Cheng, 2011, An investigation of Taiwan university students’ perceptions of online academic help seeking, and their web-based learning self-efficacy, The Internet and Higher Education, 14, 150, 10.1016/j.iheduc.2011.04.002 Cheng, 2019, Academic hardiness and academic self-efficacy in graduate studies, Higher Education Research and Development, 38, 907, 10.1080/07294360.2019.1612858 Chickering, 1987, Seven principles for good practice in undergraduate education, AAHE Bulletin, 39, 3 Chien, 2007, Detecting abnormalities of questionnaire surveys: Online satisfaction analyses onto physicians, The Journal of Taiwan Association for Medical Informatics, 16, 71 Cho, 2014, Instructor scaffolding for interaction and students’ academic engagement in online learning: Mediating role of perceived online class goal structures, The Internet and Higher Education, 21, 25, 10.1016/j.iheduc.2013.10.008 Cho, 2017, The effect of self-regulated learning on college students’ perceptions of community of inquiry and affective outcomes in online learning, The Internet and Higher Education, 34, 10, 10.1016/j.iheduc.2017.04.001 Christenson, 2012 Chu, 2010, How family support and internet self-efficacy influence the effects of e-learning among higher aged adults – Analyses of gender and age differences, Computers & Education, 55, 255, 10.1016/j.compedu.2010.01.011 Chu, 2010, Multi-level analysis of peer support, internet self-efficacy and e-learning outcomes – The contextual effects of collectivism and group potency, Computers & Education, 55, 145, 10.1016/j.compedu.2009.12.011 Compeau, 1995, Computer self-efficacy: Development of a measure and initial test, MIS Quarterly, 19, 189, 10.2307/249688 Creed, 2013, Revisiting the academic hardiness scale: Revision and revalidation, Journal of Career Assessment, 21, 537, 10.1177/1069072712475285 Dabbagh, 2012, Personal learning environments, social media, and self-regulated learning: A natural formula for connecting formal and informal learning, The Internet and Higher Education, 15, 3, 10.1016/j.iheduc.2011.06.002 Daneshamooz, 2012, Cooperative learning and academic hardiness on students’ mathematical performance with different levels of mathematics anxiety, Educational Research, 3, 270 Deng, 2020, Learner engagement in MOOCs: Scale development and validation, British Journal of Educational Technology, 51, 245, 10.1111/bjet.12810 Elliot, 2002, Approach-avoidance motivation in personality: Approach and avoidance temperaments and goals, Journal of Personality and Social Psychology, 82, 804, 10.1037/0022-3514.82.5.804 Felt, 2017, Using person fit statistics to detect outliers in survey research, Frontiers in Psychology, 8, 10.3389/fpsyg.2017.00863 Fischer, 2014, Beyond hype and underestimation: Identifying research challenges for the future of MOOCs, Distance Education, 35, 149, 10.1080/01587919.2014.920752 Fornell, 1981, Evaluating structural equation models with unobservable variables and measurement error, Journal of Marketing Research, 18, 39, 10.1177/002224378101800104 Fredricks, 2004, School engagement: Potential of the concept, state of the evidence, Review of Educational Research, 74, 59, 10.3102/00346543074001059 Freitas, 2015, Will MOOCs transform learning and teaching in higher education? Engagement and course retention in online learning provision, British Journal of Educational Technology, 46, 455, 10.1111/bjet.12268 Garrett-Peters, 2019, Early student (dis)engagement: Contributions of household chaos, parenting, and self-regulatory skills, Developmental Psychology, 55, 1480, 10.1037/dev0000720 Graham, 2011, Self-efficacy and academic listening, Journal of English for Academic Purposes, 10, 113, 10.1016/j.jeap.2011.04.001 Hair, 2014 Hart, 2012, Factors associated with student persistence in an online program of study: A review of the literature, Journal of Interactive Online Learning, 11, 19 Henrie, 2015, Measuring student engagement in technology-mediated learning: A review, Computers & Education, 90, 36, 10.1016/j.compedu.2015.09.005 Hew, 2016, Promoting engagement in online courses: What strategies can we learn from three highly rated MOOCS: Engagement: Lessons from MOOCs, British Journal of Educational Technology, 47, 320, 10.1111/bjet.12235 Hew, 2014, Students’ and instructors’ use of massive open online courses (MOOCs): Motivations and challenges, Educational Research Review, 12, 45, 10.1016/j.edurev.2014.05.001 Higgins, 1998, Promotion and prevention: regulatory focus as a motivational principle, 10.1016/S0065-2601(08)60381-0 Hodson, 1998, From constructivism to social constructivism: A Vygotskian perspective on teaching and learning science, School Science Review, 79, 33 Howard, 2016, Student rules: Exploring patterns of students’ computer-efficacy and engagement with digital technologies in learning, Computers & Education, 101, 29, 10.1016/j.compedu.2016.05.008 Hu, 1999, Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives, Structural Equation Modeling: A Multidisciplinary Journal, 6, 1, 10.1080/10705519909540118 Hulland, 2018, Marketing survey research best practices: Evidence and recommendations from a review of JAMS articles, Journal of the Academy of Marketing Science, 46, 92, 10.1007/s11747-017-0532-y Isohätälä, 2017, Socially shared regulation of learning and participation in social interaction in collaborative learning, International Journal of Educational Research, 81, 11, 10.1016/j.ijer.2016.10.006 Janelli, 2021, Effects of pre-tests and feedback on performance outcomes and persistence in massive open online courses, Computers & Education, 161, 104076, 10.1016/j.compedu.2020.104076 Johnson, 2016 Joksimović, 2018, How do we model learning at scale? A systematic review of research on MOOCs, Review of Educational Research, 88, 43, 10.3102/0034654317740335 Jordan, 2014, Initial trends in enrolment and completion of massive open online courses, The International Review of Research in Open and Distributed Learning, 15, 133, 10.19173/irrodl.v15i1.1651 Kamtsios, 2013, The development of a questionnaire on academic hardiness for late elementary school children, International Journal of Educational Research, 58, 69, 10.1016/j.ijer.2012.12.001 Kamtsios, 2013, Conceptualizing students’ academic hardiness dimensions: A qualitative study, European Journal of Psychology of Education, 28, 807, 10.1007/s10212-012-0141-6 Karagiannopoulou, 2016, Multidimensionality vs. unitary of academic hardiness: An under explored issue…?, Learning and Individual Differences, 51, 149, 10.1016/j.lindif.2016.08.008 Khalil, 2017, Clustering patterns of engagement in massive open online courses (MOOCs): The use of learning analytics to reveal student categories, Journal of Computing in Higher Education, 29, 114, 10.1007/s12528-016-9126-9 Kizilcec, 2020, Scaling up behavioral science interventions in online education, Proceedings of the National Academy of Sciences, 117, 14900, 10.1073/pnas.1921417117 Kobasa, 1979, Stressful life events, personality, and health: An inquiry into hardiness, Journal of Personality and Social Psychology, 37, 1, 10.1037/0022-3514.37.1.1 Kuh, 2008, Unmasking the effects of student engagement on first-year college grades and persistence, The Journal of Higher Education, 79, 540, 10.1080/00221546.2008.11772116 Kuo, 2014, Interaction, internet self-efficacy, and self-regulated learning as predictors of student satisfaction in online education courses, The Internet and Higher Education, 20, 35, 10.1016/j.iheduc.2013.10.001 Lee, 2011, A review of online course dropout research: Implications for practice and future research, Educational Technology Research and Development, 59, 593, 10.1007/s11423-010-9177-y Lim, 2020, Students’ perceptions of, and emotional responses to, personalised learning analytics-based feedback: An exploratory study of four courses, Assessment & Evaluation in Higher Education, 1 Loizzo, 2016, MOOCocracy: The learning culture of massive open online courses, Educational Technology Research and Development, 64, 1013, 10.1007/s11423-016-9444-7 López-Meneses, 2015, Analysis and implications of the impact of MOOC movement in the scientific community: JCR and Scopus (2010−13), Comunicar, 22, 73, 10.3916/C44-2015-08 Lu, 2017, Applying learning analytics for improving students engagement and learning outcomes in an MOOCs enabled collaborative programming course, Interactive Learning Environments, 25, 220, 10.1080/10494820.2016.1278391 Lu, 2016, Innovative design thinking for breakthrough product development, Vol. 53, 50 Maddi, 2006, Hardiness: The courage to grow from stresses, The Journal of Positive Psychology, 1, 160, 10.1080/17439760600619609 Maddi, 2012, The relationship of hardiness and some other relevant variables to college performance, Journal of Humanistic Psychology, 52, 190, 10.1177/0022167811422497 Martin, 2012, Will massive open online courses change how we teach?, Communications of the ACM, 55, 26, 10.1145/2240236.2240246 National Survey of Student Engagement, 2007 Nussbaum, 2020, Taking critical thinking, creativity and grit online, Educational Technology Research and Development Nunnally, 1994 Pajares, 1996, Self-efficacy beliefs in academic settings, Review of Educational Research, 66, 543, 10.3102/00346543066004543 Pellas, 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, 10.1016/j.chb.2014.02.048 Peng, 2014, Healthcare IT adoption: An analysis of knowledge transfer in socioeconomic networks, Journal of Management Information Systems, 31, 7, 10.1080/07421222.2014.994672 Perna, 2014, Moving through MOOCs: Understanding the progression of users in massive open online courses, Educational Researcher, 43, 421, 10.3102/0013189X14562423 Phan, 2016, Students’ patterns of engagement and course performance in a massive open online course, Computers & Education, 95, 36, 10.1016/j.compedu.2015.11.015 Prinsloo, 2019, Student data privacy in MOOCs: A sentiment analysis, Distance Education, 40, 395, 10.1080/01587919.2019.1632171 Prior, 2016, Attitude, digital literacy and self efficacy: Flow-on effects for online learning behavior, The Internet and Higher Education, 29, 91, 10.1016/j.iheduc.2016.01.001 Pursel, 2016, Understanding MOOC students: Motivations and behaviours indicative of MOOC completion: MOOC student motivations and behaviors, Journal of Computer Assisted Learning, 32, 202, 10.1111/jcal.12131 Reich, 2015, Rebooting MOOC research, Science, 347, 34, 10.1126/science.1261627 Reich, 2019, The MOOC pivot, Science, 363, 130, 10.1126/science.aav7958 Rincon-Flores, E. G., Mena, J., Ramirez-Montoya, M.-S., & Ramirez Velarde, R. (2020). The use of gamification in xMOOCs about energy: Effects and predictive models for participants' learning. Australasian Journal of Educational Technology, 36(2), 43–59. Doi:10.14742/ajet.4818. Rumberger, 2005, Test scores, dropout rates, and transfer rates as alternative indicators of high school performance, American Educational Research Journal, 42, 3, 10.3102/00028312042001003 Salanova, 2011, Linking transformational leadership to nurses’ extra-role performance: The mediating role of self-efficacy and work engagement, Journal of Advanced Nursing, 67, 2256, 10.1111/j.1365-2648.2011.05652.x Santiago, 2021, Emergency remote teaching and Students’ academic performance in higher education during the COVID-19 pandemic: A case study, Computers in Human Behavior, 106713 Skinner, 2008, Engagement and disaffection in the classroom: Part of a larger motivational dynamic?, Journal of Educational Psychology, 100, 765, 10.1037/a0012840 Skinner, 2012, Developmental dynamics of student engagement, coping, and everyday resilience Skinner, 2016, Can student engagement serve as a motivational resource for academic coping, persistence, and learning during late elementary and early middle school?, Developmental Psychology, 52, 2099, 10.1037/dev0000232 Staver, 1998, Constructivism: Sound theory for explicating the practice of science and science teaching, Journal of Research in Science Teaching, 35, 501, 10.1002/(SICI)1098-2736(199805)35:5<501::AID-TEA3>3.0.CO;2-T Sun, 2012, Situational interest, computer self-efficacy and self-regulation: Their impact on student engagement in distance education: Student engagement in distance education, British Journal of Educational Technology, 43, 191, 10.1111/j.1467-8535.2010.01157.x Sunar, 2017, How learners’ interactions sustain engagement: A MOOC case study, IEEE Transactions on Learning Technologies, 10, 475, 10.1109/TLT.2016.2633268 Tsai, C.-C. (2000). Enhancing science instruction: The use of “conflict maps.” International Journal of Science Education, 22(3), 285–302. doi:https://doi.org/10.1080/095006900289886. Tsai, 2005, Lasting effects of instruction guided by the conflict map: Experimental study of learning about the causes of the seasons, Journal of Research in Science Teaching, 42, 1089, 10.1002/tea.20089 Tsai, 2011, Self-efficacy in internet-based learning environments: A literature review, Journal of Educational Technology & Society, 14, 222 Tschofen, 2012, Connectivism and dimensions of individual experience, The International Review of Research in Open and Distributed Learning, 13, 124, 10.19173/irrodl.v13i1.1143 Tseng, 2010, Taiwan college students’ self-efficacy and motivation of learning in online peer assessment environments, The Internet and Higher Education, 13, 164, 10.1016/j.iheduc.2010.01.001 Vayre, 2017, Psychological engagement of students in distance and online learning: Effects of self-efficacy and psychosocial processes, Journal of Educational Computing Research, 55, 197, 10.1177/0735633116656849 Vayre, 2018, Relational and psychological factors affecting exam participation and student achievement in online college courses, The Internet and Higher Education. Walji, 2016, Learning through engagement: MOOCs as an emergent form of provision, Distance Education, 37, 208, 10.1080/01587919.2016.1184400 Walker, 2006, Identification with academics, intrinsic/extrinsic motivation, and self-efficacy as predictors of cognitive engagement, Learning and Individual Differences, 16, 1, 10.1016/j.lindif.2005.06.004 Wang, 2016, Taiwanese students’ science learning self-efficacy and teacher and student science hardiness: A multilevel model approach, European Journal of Psychology of Education, 31, 537, 10.1007/s10212-015-0285-2 Wang, 2018, Exploring the structure of science learning self-efficacy: The role of science learning hardiness and perceived responses to capitalization attempts among Taiwanese junior high school students, Research in Science & Technological Education, 1 Watted, 2018, Motivating factors of MOOC completers: Comparing between university-affiliated students and general participants, The Internet and Higher Education, 37, 11, 10.1016/j.iheduc.2017.12.001 Weigold, 2016, Assessment of the psychometric properties of the revised academic hardiness scale in college student samples, Psychological Assessment, 28, 1207, 10.1037/pas0000255 Wen, 2004, Cognitive–metacognitive and content-technical aspects of constructivist internet-based learning environments: A LISREL analysis, Computers & Education, 43, 237, 10.1016/j.compedu.2003.10.006 Wong, 2019, Exploring sequences of learner activities in relation to self-regulated learning in a massive open online course, Computers & Education, 140, 103595, 10.1016/j.compedu.2019.103595 Wong, 2019, Uncovering Malaysian secondary school Students’ academic hardiness in science, conceptions of learning science, and science learning self-efficacy: A structural equation Modelling analysis, Research in Science Education Yeh, 2019, Mindful learning: A mediator of mastery experience during digital creativity game-based learning among elementary school students, Computers & Education, 132, 63, 10.1016/j.compedu.2019.01.001 Zhao, 2010, Reconsidering baron and Kenny: Myths and truths about mediation analysis, Journal of Consumer Research, 37, 197, 10.1086/651257 Zheng, 2021, Self-regulation and emotion matter: A case study of instructor interactions with a learning analytics dashboard, Computers & Education, 161, 104061, 10.1016/j.compedu.2020.104061 Zhu, 2018, A systematic review of research methods and topics of the empirical MOOC literature (2014–2016), The Internet and Higher Education, 37, 31, 10.1016/j.iheduc.2018.01.002