Research article

Understanding the interplay of peer learning, self-regulation, and gender in shaping learning engagement in online mathematics classes

  • Published: 20 October 2025
  • Learning mathematics in an online environment can be challenging, as it requires an effective learning strategy. Self-regulated learning (SRL) can play a crucial role in helping students achieve success in mathematics within an online learning environment. SRL studies also indicate that support characteristics, such as peer learning, increase and maintain students' online academic behaviors and engagement. Additionally, gender is also perceived to moderate the relationship between peer learning and SRL. Thus, this study aimed to identify the effects of peer learning on learning engagement, the mediating roles of SRL, and the moderating effect of gender on the relationship between peer learning and SRL in the mathematics online learning environment. A total of 112 mathematics students from two public universities in Malaysia participated in this study. Descriptive analysis and partial least squares structural equation modeling (PLS-SEM) were used to analyze the data. The results revealed that peer learning had no significant effect on learning engagement. However, online SRL (OSRL) has a direct influence on the students' learning engagement. The results also suggest that peer learning is a key antecedent of OSRL, and OSRL fully mediates the relationship between peer learning and learning engagement. Additionally, it was found that gender did not moderate the relationship between peer learning and SRL. This study could provide practical guidance for scholars on the role of peer learning, SRL, and gender in determining higher learning institution students' learning engagement in online mathematics classrooms.

    Citation: Malathi Letchumanan, Sharifah Kartini Said Husain, Ahmad Fauzi Mohd Ayub. Understanding the interplay of peer learning, self-regulation, and gender in shaping learning engagement in online mathematics classes[J]. STEM Education, 2025, 5(6): 1132-1152. doi: 10.3934/steme.2025048

    Related Papers:

  • Learning mathematics in an online environment can be challenging, as it requires an effective learning strategy. Self-regulated learning (SRL) can play a crucial role in helping students achieve success in mathematics within an online learning environment. SRL studies also indicate that support characteristics, such as peer learning, increase and maintain students' online academic behaviors and engagement. Additionally, gender is also perceived to moderate the relationship between peer learning and SRL. Thus, this study aimed to identify the effects of peer learning on learning engagement, the mediating roles of SRL, and the moderating effect of gender on the relationship between peer learning and SRL in the mathematics online learning environment. A total of 112 mathematics students from two public universities in Malaysia participated in this study. Descriptive analysis and partial least squares structural equation modeling (PLS-SEM) were used to analyze the data. The results revealed that peer learning had no significant effect on learning engagement. However, online SRL (OSRL) has a direct influence on the students' learning engagement. The results also suggest that peer learning is a key antecedent of OSRL, and OSRL fully mediates the relationship between peer learning and learning engagement. Additionally, it was found that gender did not moderate the relationship between peer learning and SRL. This study could provide practical guidance for scholars on the role of peer learning, SRL, and gender in determining higher learning institution students' learning engagement in online mathematics classrooms.



    加载中


    [1] Besser, A., Flett, G.L. and Zeigler-Hill, V., Adaptability to a sudden transition to online learning during the COVID-19 pandemic: Understanding the challenges for students. Scholarship of Teaching and Learning in Psychology, 2022, 8(2): 85. https://doi.org/10.1037/stl0000198 doi: 10.1037/stl0000198
    [2] Li, J. and Che, W., Challenges and coping strategies of online learning for college students in the context of COVID-19: A survey of Chinese universities. Sustainable Cities and Society, 2022, 83: 103958. https://doi.org/10.1016/j.scs.2022.103958 doi: 10.1016/j.scs.2022.103958
    [3] Zhang, Y. and Lin, C., Student interaction and the role of the teacher in a state virtual high school: What predicts online learning satisfaction? Technology, Pedagogy and Education, 2020, 29(1): 57–71. https://doi.org/10.1080/1475939X.2019.1694061 doi: 10.1080/1475939X.2019.1694061
    [4] Langoban, M.A. and Langoban, M.A., What makes mathematics difficult as a subject for most students in higher education. International Journal of English and Education, 2020, 9(3): 214‒220.
    [5] Hoth, J., Larrain, M. and Kaiser, G., Identifying and dealing with student errors in the mathematics classroom: Cognitive and motivational requirements. Frontiers in Psychology, 2022, 13: 1057730. https://doi.org/10.3389/fpsyg.2022.1057730 doi: 10.3389/fpsyg.2022.1057730
    [6] Zamir, S., Yang, Z., Wenwu, H. and Sarwar, U., Assessing the attitude and problem-based learning in mathematics through PLS-SEM modeling. PLoS One, 2022, 17(5): e0266363. https://doi.org/10.1371/journal.pone.0266363 doi: 10.1371/journal.pone.0266363
    [7] Yohannes, Y., Juandi, D., Diana, N. and Sukma, Y., Mathematics teachers' difficulties in implementing online learning during the COVID-19 Pandemic. Journal of Hunan University Natural Sciences, 2021, 48(5). https://jonuns.com/index.php/journal/article/view/581/578
    [8] Kalman, R., Esparza, M.M. and Weston, C., Student views of the online learning process during the COVID-19 pandemic: A comparison of upper-level and entry-level undergraduate perspectives. Journal of Chemical Education, 2020, 97(9): 3353–3357. https://doi.org/10.1021/acs.jchemed.0c00712 doi: 10.1021/acs.jchemed.0c00712
    [9] Zimmerman, B., Becoming a self-regulated learner: An overview. Theory into Practice, 2002, 41(2): 64–70. https://doi.org/10.1207/s15430421tip4102_2 doi: 10.1207/s15430421tip4102_2
    [10] Pintrich, P.R., The role of goal orientation in self-regulated learning. Handbook of self-regulation, 2000,451–502. https://doi.org/10.1016/B978-012109890-2/50043-3
    [11] Butler, D.L. and Winne, P.H., Feedback and self-regulated learning: A theoretical synthesis. Review of Educational Research, 1995, 65(3): 245–281. https://doi.org/10.3102/00346543065003245 doi: 10.3102/00346543065003245
    [12] Michalsky, T. and Schechter, C., Preservice teachers' capacity to teach self-regulated learning: Integrating learning from problems and learning from successes. Teaching and Teacher Education, 2013, 30: 60‒73. https://doi.org/10.1016/j.tate.2012.10.009 doi: 10.1016/j.tate.2012.10.009
    [13] Skinner, E.A. and Pitzer, J.R., Developmental dynamics of student engagement, coping, and everyday resilience. In Handbook of research on student engagement, 2012, 21–44. Springer. https://doi.org/10.1007/978-1-4614-2018-7_2
    [14] Moubayed, A., Injadat, M., Shami, A. and Lutfiyya, H., Student engagement level in an e-learning environment: clustering using k-means. Am. J. Dist. Educ., 2020, 34: 137–156. doi: 10.1080/08923647.2020.1696140 doi: 10.1080/08923647.2020.1696140
    [15] Fredricks, J.A., Blumenfeld, P.C. and Paris, A.H., School engagement: Potential of the concept, state of the evidence. Review of Educational Research, 2004, 74(1): 59‒109. https://doi.org/10.3102/00346543074001059 doi: 10.3102/00346543074001059
    [16] Park, S. and Yun, H., The influence of motivational regulation strategies on online students' behavioral, emotional, and cognitive engagement. American Journal of Distance Education, 2018, 32(1): 43‒56. https://doi.org/10.1080/08923647.2018.1412738 doi: 10.1080/08923647.2018.1412738
    [17] Tvedt, M.S., Bru, E. and Idsoe, T., Perceived teacher support and intentions to quit upper secondary school: Direct, and indirect associations via emotional engagement and boredom. Scandinavian Journal of Educational Research, 2021, 65(1): 101‒122. https://doi.org/10.1080/00313831.2019.1659401 doi: 10.1080/00313831.2019.1659401
    [18] Nguyen, T.D., Cannata, M. and Miller, J., Understanding student behavioral engagement: Importance of student interaction with peers and teachers. The Journal of Educational Research, 2016,111(2): 163‒174. https://doi.org/10.1080/00220671.2016.1220359 doi: 10.1080/00220671.2016.1220359
    [19] Lim, C.L., Ab Jalil, H., Maa'rof, A.M. and Saad, W.Z., Self-regulated learning as a mediator in the relationship between peer learning and online learning satisfaction: A study of a private university in Malaysia. Malaysian Journal of Learning & Instruction, 2020, 17(1): 51‒75. https://doi.org/10.32890/mjli2020.17.1.3 doi: 10.32890/mjli2020.17.1.3
    [20] Anggelika, K.F. and Rahardjo, W., Social support, self-regulation learning and student engagement in high school students. Social Support, Self-Regulation Learning and Student Engagement in High School Students, 2019, 43(1): 1‒10.
    [21] Kuo, Y.C., Lin, H.C.K., Lin, Y.H., Wang, T.H. and Chuang, B.Y., The influence of distance education and peer self-regulated learning mechanism on learning effectiveness, motivation, self-efficacy, reflective ability, and cognitive load. Sustainability, 2023, 15(5): 4501. https://doi.org/10.3390/su15054501 doi: 10.3390/su15054501
    [22] Gherghel, C., Yasuda, S. and Kita, Y., Interaction during online classes fosters engagement with learning and self-directed study both in the first and second years of the COVID-19 pandemic. Computers & Education, 2023,200: 104795. https://doi.org/10.1016/j.compedu.2023.104795 doi: 10.1016/j.compedu.2023.104795
    [23] Rasheed, R.A., Kamsin, A. and Abdullah, N.A., An approach for scaffolding students peer-learning self-regulation strategy in the online component of blended learning. IEEE Access, 2021, 9: 30721‒30738. https://doi.org/10.1109/ACCESS.2021.3059916 doi: 10.1109/ACCESS.2021.3059916
    [24] Matthews, K.E., Andrews, V. and Adams, P., Social learning spaces and student engagement. Higher Education Research & Development, 2011, 30(2): 105‒120. https://doi.org/10.1080/07294360.2010.512629 doi: 10.1080/07294360.2010.512629
    [25] Almasri, F., The impact of e-learning, gender-groupings and learning pedagogies in biology undergraduate female and male students' attitudes and achievement. Education and Information Technologies, 2022, 27(6): 8329‒8380. https://doi.org/10.1007/s10639-022-10967-z doi: 10.1007/s10639-022-10967-z
    [26] Cui, Y., Self-efficacy for self-regulated learning and Chinese students' intention to use online learning in COVID-19: A moderated mediation model. International Journal of Information and Education Technology, 2021, 11(11): 532‒537. doi: 10.18178/ijiet.2021.11.11.1561 doi: 10.18178/ijiet.2021.11.11.1561
    [27] Dai, W., Li, Z. and Jia, N., Self-regulated learning, online mathematics learning engagement, and perceived academic control among Chinese junior high school students during the COVID-19 pandemic: A latent profile analysis and mediation analysis. Frontiers in Psychology, 2022, 13: 1042843. https://doi.org/10.3389/fpsyg.2022.1042843 doi: 10.3389/fpsyg.2022.1042843
    [28] Broadbent, J., Comparing online and blended learner's self-regulated learning strategies and academic performance. The Internet and Higher Education, 2017, 33: 24‒32. https://doi.org/10.1016/j.iheduc.2017.01.004 doi: 10.1016/j.iheduc.2017.01.004
    [29] Rasheed, R.A., Kamsin, A. and Abdullah, N.A., Challenges in the online component of blended learning: A systematic review. Computers & Education, 2020,144: 103701. https://doi.org/10.1016/j.compedu.2019.103701 doi: 10.1016/j.compedu.2019.103701
    [30] Azmat, M. and Ahmad, A., Lack of social interaction in online classes during COVID-19. Journal of Materials and Environmental Science, 2022, 13(2): 185–196. https://www.jmaterenvironsci.com/Document/vol13/vol13_N2/JMES-2022-13015-Azmat.pdf
    [31] Kita, Y., Yasuda, S. and Gherghel, C., Faculty perspectives and opinions on online education. Working Paper Series Mori Arinori Institute for Higher Education and Global Mobility. WP202101, 2021. https://arinori.hit-u.ac.jp/wp-content/uploads/2021/05/d5fad1b854733d23f49349b29f6bffa6.pdf.
    [32] Wissing, R.O., Hilverda, F., Scheepers, R.A., Nieboer, A.P. and Vollmann, M., Peer relationships buffer the negative association of online education with education satisfaction and subsequently with study engagement among undergraduate medical students. BMC Medical Education, 2022, 22(1): 276. https://doi.org/10.1186/s12909-022-03337-3 doi: 10.1186/s12909-022-03337-3
    [33] Knoster, K.C. and Goodboy, A.K., A conditional process model of academic demands and student learning. Communication Education, 2020, 69(3): 335‒355. https://doi.org/10.1080/03634523.2020.1713387 doi: 10.1080/03634523.2020.1713387
    [34] Krishnan, S.D. and Hassan, N.C., Online peer learning amid Covid-19 pandemic in Malaysian higher learning institution. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 2021, 12(14): 1010‒1019.
    [35] Havnes, A., Christiansen, B., Bjørk, I.T. and Hessevaagbakke, E., Peer learning in higher education: Patterns of talk and interaction in skills centre simulation. Learning, Culture and Social Interaction, 2016, 8: 75–87. https://doi.org/10.1016/j.lcsi.2015.12.004 doi: 10.1016/j.lcsi.2015.12.004
    [36] Williamson, S.N. and Paulsen-Becejac, L., The impact of peer learning within a group of international post-graduate students–a pilot study. Athens Journal of Education, 2018, 5(1): 7‒27. https://doi.org/10.30958/aje.5-1-1 doi: 10.30958/aje.5-1-1
    [37] Shin, H. and Chang, Y., Relational support from teachers and peers matters: links with different profiles of relational support and academic engagement. J. School Psychol., 2022, 92: 209–226. doi: 10.1016/j.jsp.2022.03.006 doi: 10.1016/j.jsp.2022.03.006
    [38] Terlektsi, E., Kreppner, J., Mahon, M., Worsfold, S. and Kennedy, C.R., Peer relationship experiences of deaf and hard-of-hearing adolescents. J. Deaf Stud. Deaf Educ, 2020, 25(2): 153‒166. doi: 10.1093/deafed/enz048 doi: 10.1093/deafed/enz048
    [39] Nerantzi, C., The use of peer instruction and flipped learning to support flexible blended learning during and after the COVID-19 Pandemic. International Journal of Management and Applied Research, 2020, 7(2): 184–195. https://doi.org/10.18646/2056.72.20-013 doi: 10.18646/2056.72.20-013
    [40] Jansen, R.S., van Leeuwen, A., Janssen, J., Conijn, R. and Kester, L., Supporting learners' self-regulated learning in Massive Open Online Courses. Computers & Education, 2020,146: 103771. https://doi.org/10.1016/j.compedu.2019.103771 doi: 10.1016/j.compedu.2019.103771
    [41] Jin, S.H., Im, K., Yoo, M., Roll, I. and Seo, K., Supporting students' self-regulated learning in online learning using artificial intelligence applications. International Journal of Educational Technology in Higher Education, 2023, 20(1): 37. https://doi.org/10.1186/s41239-023-00406-5 doi: 10.1186/s41239-023-00406-5
    [42] Gambo, Y. and Shakir, M.Z., Review on self-regulated learning in smart learning environment. Smart Learning Environments, 2021, 8(1): 1–14. https://doi.org/10.1186/s40561-021-00157-8. doi: 10.1186/s40561-021-00157-8
    [43] Al Mutawah, M.A., Thomas, R. and Khine, M.S., Investigation into self-regulation, engagement in learning mathematics and science and achievement among Bahrain secondary school students. International Electronic Journal of Mathematics Education, 2017, 12(3): 633‒653. https://doi.org/10.29333/iejme/639 doi: 10.29333/iejme/639
    [44] Lau, K.L. and Jong, M.S.Y., Acceptance of and self-regulatory practices in online learning and their effects on the participation of Hong Kong secondary school students in online learning. Education and Information Technologies, 2023, 28(7): 8715‒8732. https://doi.org/10.1007/s10639-022-11546-y doi: 10.1007/s10639-022-11546-y
    [45] Banson, J., Co-regulated learning and online learning: A systematic review. Social Sciences & Humanities Open, 2022, 6(1): 100376. https://doi.org/10.1016/j.ssaho.2022.100376 doi: 10.1016/j.ssaho.2022.100376
    [46] Gonzalez-DeHass, A.R. and Willems, P.P., Nurturing self-regulated learners: Teacher, peer, and parental support of strategy instruction. In The Educational Forum, 2016, 80(3): 294‒309. Routledge. https://doi.org/10.1080/00131725.2016.1173751
    [47] Zimmerman, B.J., A social cognitive view of self-regulated academic learning. Journal of Educational Psychology, 1989, 81(3): 329. https://doi.org/10.1037/0022-0663.81.3.329 doi: 10.1037/0022-0663.81.3.329
    [48] Xu, J. and Qiu, X., The influence of self-regulation on learner's behavioral intention to reuse E-learning systems: A moderated mediation model. Frontiers in psychology, 2021, 12: 763889. https://doi.org/10.3389/fpsyg.2021.763889 doi: 10.3389/fpsyg.2021.763889
    [49] Cohen, J., Quantitative methods in psychology: A power primer. Psychological Bulletin, 1992,112(1): 155‒159. https://doi.org/10.1037/0033-2909.112.1.155 doi: 10.1037/0033-2909.112.1.155
    [50] Uzezi, J.G. and Deya, G.D., Relationship between peer group influence and students' academic achievement in Chemistry at secondary school level. American Journal of Educational Research, 2017, 5(4): 350‒356.
    [51] Barnard, L., Lan, W.Y., To, Y.M., Paton, V.O. and Lai, S.L., Measuring self-regulation in online and blended learning environments. The Internet and Higher Education, 2009, 12(1): 1–6. https://doi.org/10.1016/j.iheduc.2008.10.005 doi: 10.1016/j.iheduc.2008.10.005
    [52] Wang, M.T., Fredricks, J.A., Ye, F., Hofkens, T.L. and Linn, J.S., The math and science engagement scales: Scale development, validation, and psychometric properties. Learning and Instruction, 2016, 43: 16-26. https://doi.org/10.1016/j.learninstruc.2016.01.008 doi: 10.1016/j.learninstruc.2016.01.008
    [53] Hair, J.F., Ringle, C.M. and Sarstedt, M., Partial Least Squares: The Better Approach to Structural Equation Modeling? Long Range Planning, 2012, 45(5): 312–319. https://doi.org/10.1016/j.lrp.2012.09.011 doi: 10.1016/j.lrp.2012.09.011
    [54] Henseler, J., Ringle, C.M. and Sarstedt, M., A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 2015, 43(1): 115–135. https://doi.org/10.1007/s11747-014-0403-8 doi: 10.1007/s11747-014-0403-8
    [55] Fornell, C. and Larcker, D.F., Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 1981, 18(1): 39–50. https://doi.org/10.2307/3151312 doi: 10.2307/3151312
    [56] Hair, J.F., Hult, G.T.M., Ringle, C.M. and Sarstedt, M., A primer on partial least squares structural equation modelling, Thousand Oaks, CA, USA: Sage, 2014.
    [57] Nunnally, J.C., Psychometric theory, New York: McGraw-Hill, 1978.
    [58] Hair, J.F., Jr., Hult, G.T.M., Ringle, C.M., Sarstedt, M., Danks, N.P., and Ray, S., Partial least squares structural equation modeling (PLS-SEM) using R: A workbook, Springer Nature, 2021. https://doi.org/10.1007/978-3-030-80519-7
    [59] Streukens, S. and Leroi-Werelds, S., Bootstrapping and PLS-SEM: A step-by-step guide to get more out of your bootstrap results. European Management Journal, 2016, 34(6): 618–632. https://doi.org/10.1016/j.emj.2016.06.003 doi: 10.1016/j.emj.2016.06.003
    [60] Chin, W.W., The partial least squares approach for structural equation modeling. In G.A. Marcoulides (Ed.). Methodology for business and management. Modern methods for business research, 1998, 295–336. Mahwah, NJ: Lawrence Erlbaum.
    [61] Gefen, D. and Rigdon, E.E., An update and extension to SEM guidelines for administrative and social science research. MIS Quarterly, 2011, 35(2): 1–7. https://doi.org/10.2307/23044042 doi: 10.2307/23044042
    [62] Cohen, J., Statistical power analysis for the behavioral sciences (2nd ed.), Hillsdale: Lawrence Erlbaum, 1988.
    [63] O'brien, R.M., A caution regarding rules of thumb for variance inflation factors. Quality & Quantity, 2007, 41(5): 673‒690. https://doi.org/10.1007/s11135-006-9018-6 doi: 10.1007/s11135-006-9018-6
    [64] AbdElmagied Elsayed, A., Mahmoud, R. and Mohamed Abdrabou, H., Peer support and its' influence on academic engagement among nursing students. Egyptian Journal of Health Care, 2023, 14(3): 417‒427. https://doi.org/10.21608/ejhc.2023.317564 doi: 10.21608/ejhc.2023.317564
    [65] Shanti, T.I., Janssens, J.M.A.M. and Setiadi, B., Friends' support, motivation to learn, emotional adjustment, and academic performance among Indonesian first-year students. Jurnal Psikologi, 2021, 48(2): 183‒198. https://doi.org/10.22146/jpsi.34060 doi: 10.22146/jpsi.34060
    [66] Vania, I.G., Yudiana, W. and Susanto, H., Does online-formed peer relationship affect academic motivation during online learning? Journal of Educational, Health and Community Psychology, 2022, 11(1): 72‒91. https://doi.org/10.12928/jehcp.v11i1.21970 doi: 10.12928/jehcp.v11i1.21970
    [67] Wu, Y., Xu, X., Xue, J. and Hu, P., A cross-group comparison study of the effect of interaction on satisfaction in online learning: The parallel mediating role of academic emotions and self-regulated learning. Computers & Education, 2023,199: 104776. https://doi.org/10.1016/j.compedu.2023.104776 doi: 10.1016/j.compedu.2023.104776
    [68] Kedia, P. and Mishra, L., Exploring the factors influencing the effectiveness of online learning: A study on college students. Social Sciences & Humanities Open, 2023, 8(1): 100559. https://doi.org/10.1016/j.ssaho.2023.100559 doi: 10.1016/j.ssaho.2023.100559
    [69] Molinillo, S., Aguilar-Illescas, R., Anaya-Sánchez, R. and Vallespín-Arán, M., Exploring the impacts of interactions, social presence and emotional engagement on active collaborative learning in a social web-based environment. Computers & Education, 2018,123: 41‒52. https://doi.org/10.1016/j.compedu.2018.04.012 doi: 10.1016/j.compedu.2018.04.012
    [70] Vygotsky, L.S., Mind in Society, Cambridge: Harvard University Press, 1978.
    [71] Miao, J. and Ma, L., Students' online interaction, self-regulation, and learning engagement in higher education: The importance of social presence to online learning. Frontiers in Psychology, 2022, 13: 815220. https://doi.org/10.3389/fpsyg.2022.815220 doi: 10.3389/fpsyg.2022.815220
    [72] Ng, D.T.K., Tan, C.W. and Leung, J.K.L., Empowering student self‐regulated learning and science education through ChatGPT: A pioneering pilot study. British Journal of Educational Technology, 2024, 55(4): 1328–1353. https://doi.org/10.1111/bjet.13454 doi: 10.1111/bjet.13454
    [73] Zimmerman, B.J. and Schunk, D.H., Self-regulated learning and performance: An introduction and an overview. Handbook of self-regulation of learning and performance, 2011, 15‒26.
    [74] Ampadu, E. and Anokye-Poku, D., Influence of personal, motivational and learning environment factors on students' attitudes toward mathematics. International Journal of Research in Education and Science, 2022, 8(2): 378‒392. https://doi.org/10.46328/ijres.2666 doi: 10.46328/ijres.2666
    [75] Schukajlow, S., Rakoczy, K. and Pekrun, R., Emotions and motivation in mathematics education: Where we are today and where we need to go. ZDM–Mathematics Education, 2023, 55(2): 249‒267. https://doi.org/10.1007/s11858-022-01463-2 doi: 10.1007/s11858-022-01463-2
    [76] Hashmi, Z.F., Iqbal, J., Asghar, M.Z. and Siming, L., The influence of online learning interactions on self-regulated learning: mediating role of technology proficiencies among higher education students. Open Learning: The Journal of Open, Distance and e-Learning, 2025, 1–26. https://doi.org/10.1080/02680513.2025.2492657
    [77] Lee, D., Watson, S.L. and Watson, W.R., Systematic literature review on self-regulated learning in massive open online courses. Australasian Journal of Educational Technology, 2019, 35(1). DOI: https://doi.org/10.14742/ajet.3749 doi: 10.14742/ajet.3749
    [78] Martínez-López, Z., Nouws, S., Villar, E., Mayo, M.E. and Tinajero, C., Perceived social support and self-regulated learning: A systematic review and meta-analysis. International Journal of Educational Research Open, 2023, 5: 100291. https://doi.org/10.1016/j.ijedro.2023.100291 doi: 10.1016/j.ijedro.2023.100291
    [79] Bandura, A., Social foundations of thought and action. Englewood Cliffs, NJ, 1986, 1986(23-28), 2.
    [80] Bandura, A., Self-efficacy: The exercise of control, Freeman, 1997.
    [81] Maran, T.K., Liegl, S., Davila, A., Moder, S., Kraus, S., and Mahto, R.V., Who fits into the digital workplace? Mapping digital self-efficacy and agility onto psychological traits. Technological Forecasting and Social Change, 2022, 175: 121352. https://doi.org/10.1016/j.techfore.2021.121352 doi: 10.1016/j.techfore.2021.121352
    [82] Kizilcec, R.F., Pérez-Sanagustín, M. and Maldonado, J.J., Self-regulated learning strategies predict learner behavior and goal attainment in Massive Open Online Courses. Computers & Education, 2017,104: 18‒33. https://doi.org/10.1016/j.compedu.2016.10.001 doi: 10.1016/j.compedu.2016.10.001
    [83] Kara, M., Kukul, V. and Çakır, R., Self-regulation in three types of online interaction: How does it predict online pre-service teachers' perceived learning and satisfaction? The Asia-Pacific Education Researcher, 2020, 30(1): 1‒10. https://doi.org/10.1007/s40299-020-00509-x doi: 10.1007/s40299-020-00509-x
    [84] Younis, B.K., Examining students' self-regulation skills, confidence to learn online, and perception of satisfaction and usefulness of online classes in three suggested online learning environments that integrates chatgpt. Online Learning, 2024, 28(2): n2. https://doi.org/10.24059/olj.v28i2.4397 doi: 10.24059/olj.v28i2.4397
    [85] Bellhauser, H., Liborius, P. and Schmitz, B., Fostering self-regulated learning in online environments: Positive effects of a web-based training with peer feedback on learning behavior. Frontiers in Psychology, 2022, 13: 813381. https://doi.org/10.3389/fpsyg.2022.813381 doi: 10.3389/fpsyg.2022.813381
    [86] Rashid, A., Mohamed, Z., Muda Yusof, N. and Abdul Karim, Z., The influence of gender and SPM's mathematics grade towards the students' achievement in mathematics at UiTM Terengganu. Journal of Creative Practices in Language Learning and Teaching (CPLT), 2021, 9(1): 1‒9.
  • Author's biography Dr. Malathi Letchumanan is a research officer at the Institute for Mathematical Research, Universiti Putra Malaysia. Her research interests include technology in mathematics education and cyber education; Assoc. Prof. Dr. Sharifah Kartini Said Husain is an academician from Universiti Putra Malaysia. Her research interest is in algebra and mathematics education; Prof. Dr. Ahmad Fauzi Mohd Ayub is an academician from Universiti Putra Malaysia. His research interest is in learning management & computer science
    Reader Comments
  • © 2025 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(830) PDF downloads(56) Cited by(0)

Article outline

Figures and Tables

Figures(2)  /  Tables(6)

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog