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Perceived Online Learning Environment and Students’ Learning Performance in Higher Education: Mediating Role of Student Engagement

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Technology in Education. Innovative Solutions and Practices (ICTE 2018)

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Abstract

Colleges and universities have focused on increasing the number of online courses and programs offered to remove the obstacles in terms of time and space. Partial Least Squares Structural Equation Modeling (SEM) is used to explore the relationships among the parameters. The results of this study indicate a positive relationship between perceived online learning environment and university students’ learning performance mediated by students’ engagement. Therefore, educators should develop online student engagement strategies in order to increase online student engagement. Furthermore, for improving online students’ learning performance, educators should invest their resources to develop a good online learning environment.

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References

  • Asunka, S.: Online learning in higher education in Sub-Saharan Africa: Ghanaian university students’ experiences and perceptions. Int. Rev. Res. Open Distrib. Learn. 9(3), 1–23 (2008)

    Article  Google Scholar 

  • Barnard-Brak, L., Paton, V.O., Lan, W.Y.: Profiles in self-regulated learning in the online learning environment. Int. Rev. Res. Open Distrib. Learn. 11(1), 61–80 (2010)

    Article  Google Scholar 

  • Bartsch, R.A., Cobern, K.M.: Effectiveness of PowerPoint presentations in lectures. Comput. Educ. 41(1), 77–86 (2003)

    Article  Google Scholar 

  • Boekarts, M., Pintrich, P.R., Zeidner, M. (eds.): Handbook of Self-Regulation: Theory, Research and Applications. Academic, San Diego (2000)

    Google Scholar 

  • Brock, L.L., Nishida, T.K., Chiong, C., Grimm, K.J., Rimm-Kaufman, S.E.: Children’s perceptions of the classroom environment and social and academic performance: a longitudinal analysis of the contribution of the Responsive Classroom approach. J. Sch. Psychol. 46(2), 129–149 (2008)

    Article  Google Scholar 

  • Busato, V.V., Prins, F.J., Elshout, J.J., Hamaker, C.: Learning styles: a cross-sectional and longitudinal study in higher education. Br. J. Educ. Psychol. 68(3), 427–441 (1998)

    Article  Google Scholar 

  • Cangur, S., Ercan, I.: Comparison of model fit indices used in structural equation modeling under multivariate normality. J. Modern Appl. Stat. Methods 14(1), 14 (2015)

    Article  Google Scholar 

  • Carliner, S., Shank, P. (eds.): The E-Learning Handbook: Past Promises, Present Challenges. Wiley, Hoboken (2016)

    Google Scholar 

  • Chauhan, A.: Massive open online courses (MOOCS): emerging trends in assessment and accreditation. Digit. Educ. Rev. 25, 7–17 (2014)

    Google Scholar 

  • Cheong, I.A.: Educating pre-service teachers for a sustainable environment. Asia-Pacific J. Teach. Educ. 33(1), 97–110 (2005)

    Article  Google Scholar 

  • Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13(3), 319–340 (1989)

    Article  Google Scholar 

  • Delen, E., Liew, J., Willson, V.: Effects of interactivity and instructional scaffolding on learning: self-regulation in online video-based environments. Comput. Educ. 78, 312–320 (2014)

    Article  Google Scholar 

  • Frederick, H.R.L.K.S.: Cracking the paradox of Chinese learners: looking into the mathematics classrooms in Hong Kong and Shanghai. How Chin. Learn Math.: Perspect. Insiders 1, 348 (2004)

    Article  Google Scholar 

  • Gan, C.L., Balakrishnan, V.: Enhancing classroom interaction via IMMAP–an interactive mobile messaging app. Telematics Inform. 34(1), 230–243 (2017)

    Article  Google Scholar 

  • Greene, T.G., Marti, C.N., McClenney, K.: The effort—outcome gap: differences for African American and hispanic community college students in student engagement and academic achievement. J. High. Educ. 79(5), 513–539 (2008)

    Article  Google Scholar 

  • Hair Jr., J.F., Hult, G.T.M., Ringle, C., Sarstedt, M.: A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Sage Publications, Thousand Oaks (2016)

    Google Scholar 

  • Hair, J.F., Sarstedt, M., Ringle, C.M., Mena, J.A.: An assessment of the use of partial least squares structural equation modeling in marketing research. J. Acad. Market. Sci. 40(3), 414–433 (2012)

    Article  Google Scholar 

  • Hu, L.T., Bentler, P.M.: Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct. Equ. Model.: Multidisciplinary J. 6(1), 1–55 (1999)

    Article  Google Scholar 

  • Järvelä, S., Veermans, M., Leinonen, P.: Investigating student engagement in computer-supported inquiry: a process-oriented analysis. Soc. Psychol. Educ. 11(3), 299–322 (2008)

    Article  Google Scholar 

  • Kahu, E.R.: Framing student engagement in higher education. Stud. High. Educ. 38(5), 758–773 (2013)

    Article  Google Scholar 

  • Klein, K.J., Knight, A.P., Ziegert, J.C., Lim, B.C., Saltz, J.L.: When team members’ values differ: the moderating role of team leadership. Organ. Behav. Hum. Decis. Process. 114(1), 25–36 (2011)

    Article  Google Scholar 

  • Kuh, G.D.: Assessing what really matters to student learning inside the national survey of student engagement. Change: Mag. High. Learn. 33(3), 10–17 (2001)

    Article  Google Scholar 

  • Lin, W.S.: Perceived fit and satisfaction on web learning performance: IS continuance intention and task-technology fit perspectives. Int. J. Hum.-Comput. Stud. 70(7), 498–507 (2012)

    Article  Google Scholar 

  • Marino, S., Hogue, I.B., Ray, C.J., Kirschner, D.E.: A methodology for performing global uncertainty and sensitivity analysis in systems biology. J. Theoret. Biol. 254(1), 178–196 (2008)

    Article  MathSciNet  Google Scholar 

  • Mayer, R.E., Heiser, J., Lonn, S.: Cognitive constraints on multimedia learning: when presenting more material results in less understanding. J. Educ. Psychol. 93(1), 187 (2001)

    Article  Google Scholar 

  • Meyer, K.A.: The influence of online teaching on faculty productivity. Innovat. High. Educ. 37(1), 37–52 (2012)

    Article  Google Scholar 

  • Moore, M.G., Kearsley, G.: Distance Education: A Systems View of Online Learning. Cengage Learning, Boston (2011)

    Google Scholar 

  • Nouh, T., Anil, S., Alanazi, A., Al-Shehri, W., Alfaisal, N., Alfaris, B., Alamer, E.: Assessing correlation between students’ perception of the learning environment and their academic performance. JPMA 66(12), 1616–1620 (2016)

    Google Scholar 

  • Park, J.H., Choi, H.J.: Factors influencing adult learners’ decision to drop out or persist in online learning. J. Educ. Technol. Soc. 12(4), 207–217 (2009)

    Google Scholar 

  • Peng, W.: Research on model of student engagement in online learning. EURASIA J. Math. Sci. Tech. Educ. 13(7), 2869–2882 (2017)

    Google Scholar 

  • Reeves, T.C., Benson, L., Elliott, D., Grant, M., Holschuh, D., Kim, B., Kim, H., Lauber, E., Loh, S.: Usability and Instructional Design Heuristics for E-Learning Evaluation (2002)

    Google Scholar 

  • Reinecke, L., Eden, A.: Media use and well-being (2017)

    Article  Google Scholar 

  • Schermelleh-Engel, K., Moosbrugger, H., Müller, H.: Evaluating the fit of structural equation models: tests of significance and descriptive goodness-of-fit measures. Methods Psychol. Res. Online 8(2), 23–74 (2003)

    Google Scholar 

  • Shea, P., Bidjerano, T.: Does online learning impede degree completion? A national study of community college students. Comput. Educ. 75, 103–111 (2014). https://doi.org/10.1016/j.compedu.2014.02.009

    Article  Google Scholar 

  • Skinner, E., Furrer, C., Marchand, G., Kindermann, T.: Engagement and disaffection in the classroom: part of a larger motivational dynamic? J. Educ. Psychol. 100(4), 765 (2008)

    Article  Google Scholar 

  • Stahl, G.: Group Cognition: Computer Support for Building Collaborative Knowledge, pp. 451–473. MIT Press, Cambridge, MA (2006)

    Google Scholar 

  • Stein, D.S., Wanstreet, C.E., Calvin, J., Overtoom, C., Wheaton, J.E.: Bridging the transactional distance gap in online learning environments. Am. J. Distance Educ. 19(2), 105–118 (2005)

    Article  Google Scholar 

  • Suksudaj, N., Lekkas, D., Kaidonis, J., Townsend, G.C., Winning, T.A.: Features of an effective operative dentistry learning environment: students’ perceptions and relationship with performance. Eur. J. Dental Educ. 19(1), 53–62 (2015)

    Article  Google Scholar 

  • Volery, T., Lord, D.: Critical success factors in online education. Int. J. Educ. Manag. 14(5), 216–223 (2000)

    Article  Google Scholar 

  • Xu, M., Benson, S.N.K., Mudrey-Camino, R., Steiner, R.P.: The relationship between parental involvement, self-regulated learning, and reading achievement of fifth graders: a path analysis using the ECLS-K database. Soc. Psychol. Educ. 13(2), 237–269 (2010)

    Article  Google Scholar 

  • Yang, Y.F.: Engaging students in an online situated language learning environment. Comput. Assist. Lang. Learn. 24(2), 181–198 (2011)

    Article  Google Scholar 

  • Zhang, Z., Kenny, R.: Learning in an online distance education course: experiences of three international students. Int. Rev. Res. Open Distrib. Learn. 11(1), 17–36 (2010)

    Article  Google Scholar 

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Correspondence to Ivan Ka Wai Lai .

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Tao, Z., Zhang, B., Lai, I.K.W. (2018). Perceived Online Learning Environment and Students’ Learning Performance in Higher Education: Mediating Role of Student Engagement. In: Cheung, S., Lam, J., Li, K., Au, O., Ma, W., Ho, W. (eds) Technology in Education. Innovative Solutions and Practices. ICTE 2018. Communications in Computer and Information Science, vol 843. Springer, Singapore. https://doi.org/10.1007/978-981-13-0008-0_6

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  • DOI: https://doi.org/10.1007/978-981-13-0008-0_6

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