
How people learn in an asynchronous online learning environment: The relationships between graduate students’ learning strategies and learning satisfaction | Comment apprennent les gens dans un environnement d’apprentissage en ligne asynchrone
ARTICLE
Beomkyu Choi
CJLT Volume 42, Number 1, ISSN 1499-6677 e-ISSN 1499-6677 Publisher: Canadian Network for Innovation in Education
Abstract
The purpose of this study was to examine the relationships between learners\u2019 learning strategies and learning satisfaction in an asynchronous online learning environment, in an attempt to shed some light on how people learn in an online learning environment. One hundred and sixteen graduate students who were taking online learning courses participated in this study. The result revealed that \u2018metacognitive strategy\u2019 and \u2018time and study environment\u2019 had positive correlations with learners\u2019 satisfaction, while \u2018help seeking\u2019 had a negative correlation. The findings of a multiple regression analysis showed that \u2018metacognitive strategy\u2019 and \u2018peer learning\u2019 led to learners\u2019 satisfaction in an online learning environment. The findings of this study contribute to a better understanding of how successful learning occurs in an online learning environment, and provide recommendations on designing an effective online learning. L\u2019objet de cette tude tait d\u2019examiner les relations entre les stratgies d\u2019apprentissage des apprenants et la satisfaction lie l\u2019apprentissage dans un environnement asynchrone d\u2019apprentissage en ligne, dans le but de faire la lumire sur les faons dont les gens apprennent dans un environnement d\u2019apprentissage en ligne. Cent seize tudiants aux cycles suprieurs qui suivaient des cours en ligne ont pris part cette tude. Les rsultats ont rvl que la stratgie mtacognitive et le moment et l\u2019environnement pour l\u2019tude avaient des corrlations positives avec la satisfaction des apprenants, alors que demander de l\u2019aide avait une corrlation ngative. Les conclusions d\u2019une analyse de rgression multiple ont dmontr que la stratgie mtacognitive et l\u2019apprentissage entre pairs avaient des corrlations positives avec la satisfaction des apprenants dans un environnement d\u2019apprentissage en ligne. Les conclusions de cette tude contribuent une meilleure comprhension des faons dont un apprentissage russi se produit dans un environnement d\u2019apprentissage en ligne et fournissent des recommandations sur la conception d\u2019un apprentissage en ligne efficace.
Citation
Choi, B. (2016). How people learn in an asynchronous online learning environment: The relationships between graduate students’ learning strategies and learning satisfaction | Comment apprennent les gens dans un environnement d’apprentissage en ligne asynchrone. Canadian Journal of Learning and Technology / La revue canadienne de l’apprentissage et de la technologie, 42(1),. Canadian Network for Innovation in Education. Retrieved July 3, 2022 from https://www.learntechlib.org/p/178000/.
© 2016 Canadian Network for Innovation in Education
Keywords
References
View References & Citations Map- Allen, E.I., & Seaman, J. (2014). Grade course: Tracking online education in the United States. Retrieved from http://www.onlinelearningsurvey.com/reports/gradechange.pdf
- Anderton, B. (2006). Using the online course to promote self-regulated learning strategies in preservice teachers. Journal of Interactive Online Learning, 5(2), 156-177. Retrieved from http://www.ncolr.org/jiol/issues/pdf/5.2.3.pdf
- Arbaugh, J.B., & Duray, R. (2002). Technological and structural characteristics, student learning and satisfaction with web-based courses-An exploratory study of two on-line MBA programs. Management Learning, 33(3), 331–347.
- Baran, E., Correia, A.P., & Thompson, A. (2011). Transforming online teaching practice: Critical analysis of the literature on the roles and competencies of online teachers. Distance Education, 32(3), 421-439. Doi:10.1080/01587919.2011.610293
- Bandura, A. (1991). Social cognitive theory of self-regulation. Organizational Behavior and Human Decision Processes, 50(2), 248-287. Doi:10.1016/0749-5978(91)90022-L
- Broadbent, J., & Poon, W.L. (2015). Self-regulated learning strategies& Academic achievement in online higher education learning environments: A systematic review. The Internet and Higher Education, 27, 1-13. Doi:10.1016/J.iheduc.2015.04.007
- Castaño‐Muñoz, J., Duart, J.M., & Sancho‐Vinuesa, T. (2014). The Internet in face‐to‐face higher education: Can interactive learning improve academic achievement?. British Journal of Educational Technology, 45(1), 149-159. Doi:10.1111/bjet.12007
- ChanLin, L.J. (2012). Learning strategies in web-supported collaborative project. Innovations in Education and Teaching International, 49(3), 319-331.
- Colorado, J.T., & Howell, D. (2009). The role of individual learner differences and success in the online learning environments. In T.T. Kidd (Ed.), Online education and adult learning: New frontiers for teaching practices (pp.69-79). Hershey, PA: Information
- ScienceComas-Quinn, A. (2011). Learning to teach online or learning to become an online teacher: An exploration of teachers’ experiences in a blended learning course. ReCALL, 23(03), 218-232. Doi:10.1017/S0958344011000152
- Hung, M.L., Chou, C., Chen, C.H., & Own, Z.Y. (2010). Learner readiness for online learning: Scale development and student perceptions. Computers& Education, 55(3), 1080-1090.
- Jung, I., Choi, S., Lim, C., & Leem, J. (2002). Effects of different types of interaction on learning achievement, satisfaction and participation in Web-based instruction. Innovations in Education and Teaching International, 39(2), 153–162.
- Keengwe, J., & Kidd, T.T. (2010). Towards best practices in online learning and teaching in higher education. MERLOT Journal of Online Learning and Teaching, 6(2), 533-541.
- Kuo, Y.C., Walker, A.E., Belland, B.R., & Schroder, K.E. (2013). A predictive study of student satisfaction in online education programs. The International Review of Research in Open and Distance Learning, 14(1), 16-39. Retrieved from http://www.irrodl.org/index.php/irrodl/article/view/1338/2443
- Lim, J., Kim, M., Chen, S.S., & Ryder, C. (2008). An Empirical Investigation of Student Achievement and Satisfaction in Different Learning Environments. Journal of Instructional Psychology, 35(2), 113-119.
- Liu, P.L., Chen, C.J., & Chang, Y.J. (2010). Effects of a computer-assisted concept mapping learning strategy on EFL college students’ English reading comprehension. Computers& Education, 54, 436–445. Doi:10.1016/J.compedu.2009.08.027
- Loomis, K.D. (2000). Learning styles and asynchronous learning: Comparing the LASSI model to class performance. Journal of Asynchronous Learning Networks, 4(1), 23-32.
- Paechter, M., Maier, B., & Macher, D. (2010). Students’ expectations of, and experiences in elearning: Their relation to learning achievements and course satisfaction. Computers& Education, 54(1), 222-229. Doi:10.1016/J.compedu.2009.08.005
- Piccoli, G., Ahmad, R., & Ives, B. (2001). Web-based virtual learning environments: A research framework and a preliminary assessment of effectiveness in basic IT skill training. MIS Quarterly, 25(4), 401–426. Retrieved from http://www.misq.org/contents-25-4/
- Pintrich, P.R., & Johnson, G. (1990). Assessing and improving students' learning strategies. In M.D. Svinicki (Ed.), New directions for teaching and learning: The changing face of college teaching, (no. 42), 83-92. San Francisco, CA: Jossey-Bass.
- Pintrich, P.R., Smith, D.A.F., Garcia, T., & McKeachie, W.J. (1991). A manual for the use of the motivated strategies for learning questionnaire (MSLQ)(Report No. 91-B-004).Ann Arbour, MI: University of Michigan, National Center for Research to Improve Postsecondary Teaching and Learning. Retrieved from http://eric.ed.gov/?id=ED338122
- Pintrich, P.R., Smith, D., Garcia, T., & McKeachie, W. (1993). Predictive validity and reliability of the Motivated Strategies for Learning Questionnaire (MSLQ). Educational and Psychological Measurement, 53(2), 801–813.
- Puzziferro, M. (2008). Online technologies self-efficacy and self-regulated learning as predictors of final grade and satisfaction in college-level online courses. The American Journal of Distance Education, 22(2), 72-89. Doi:10.1080/08923640802039024
- Rodriguez, C.M. (2009). The impact of academic self-concept, expectations and the choice of learning strategy on academic achievement: The case of business students. Higher Education Research& Development, 28(5), 523-539.
- Shih, C., Ingebritsen, T., Pleasants, J., Flickinger, K., & Brown, G. (1998). Learning strategies and other factors influencing achievement via Web courses. Proceedings of the 14th Annual Conference on Distance Teaching and Learning, Madison, WI, 359-363.
- Wang, Y.S. (2003). Assessment of learner satisfaction with asynchronous electronic learning systems. Information& Management, 41(1), 75-86. Doi:10.1016/S03787206(03)00028-4
- Warr, P.B., & Downing, J. (2000). Learning strategies, learning anxiety and knowledge acquisition. British Journal of Psychology, 91(3), 311-333.
- Weinstein, C.E., & Underwood, V.L. (1985). Learning strategies: The how of learning. In J.W. Segal, S.F. Chipman, & R. Glaser (Eds.). Relating instruction to basic research (pp. 241-253). Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.
- West, W., Rosser, B.R.S., Monani, S., & Gurak, L. (2006). How learning style impact elearning: A case comparative study of undergraduate students who excelled, passed, or failed an online course in scientific/technical writing. E-learning, 3(4), 534-543.
- Zimmerman, B.J., & Martinez-Pons, M. (1986). Development of a structured interview for assessing student use of self-regulated learning. American Educational Research Journal, 23(4), 614-628.
These references have been extracted automatically and may have some errors. Signed in users can suggest corrections to these mistakes.
Suggest Corrections to References