Examination of the correlation between e-learning readiness and achievement goal orientation of college students

Year 2023, Volume: 6 Issue: 1, 184 - 201, 31.01.2023

Neşe Sevim , Osman Erol , Vesile Gül Başer Gülsoy

https://doi.org/10.31681/jetol.1184739

Cited By: 3

Abstract

Students’ readiness for e-learning is necessary in order to make the e-learning process more effective. Readiness for e-learning refers to the degree of having pre-knowledge and skills, and affective characteristics such as the necessary attitude and motivation to experience this process most effectively. Academic orientations of the students also contribute to their perception of the quality of the learning process in online learning environments. Furthermore, e-learning creates a learner-centered learning approach that might be contrived to personal goal orientations. Hence this study aims to identify the relationship between achievement goal orientations and the e-learning readiness level of the students. Data were collected from 457 university students enrolled in a public university in Turkey. The University Students’ E-learning readiness Scale and 2X2 achievement goal orientation scale were used as the data collection tools. A canonical correlation analysis (CCA) was performed to analyze the data. This study revealed that there is a statistically significant relationship between e-learning readiness and achievement goal orientations of the students. Three of the four canonical correlations were statistically significant which indicates that variables' linear combinations were related.

Keywords

e-learning readiness, Achievement Goal orientation, Canonical correlations

References

• Akın, A. (2006). 2x2 Achievement goal orientations scale. Sakarya University Journal of Educational Faculty. 12. p.1-13
• Akin, A., & Akin, U. (2014). Investigating predictive role of 2x2 achievement goal orientations on math attitudes with structural equation modeling. Egitim ve Bilim, 39(173).
• Alem, F., Plaisent, M., Zuccaro, C., & Bernard, P. (2016). Measuring e-Learning readiness concept: Scale development and validation using structural equation modeling. International Journal of e-Education, e-Business, e-Management and e-Learning, 6(4), 193
• Ames, C. (1992). Classrooms goals structures and student motivation. Journal of Educational Psychology, 84, 261-271.
• Ames, C., & Archer. J. (1988). Achievement goals in the classroom: Students' learning strategies and motivation processes. Journal of educational psychology, 80(3), 260-267.
• Arslan, S., Akcaalan, M., & Yurdakul. C. (2017). Science motivation of university students: Achievement goals as a predictor. Universal Journal of Educational Research, 5(4). 681-686.
• Baranik, L. E., Stanley, L. J., Bynum, B. H., & Lance, C. E. (2010). Examining the construct validity of mastery-avoidance achievement goals: A meta-analysis. Human Performance, 23(3), 265-282.
• Bloom, B. S. (1995). İnsan nitelikleri ve okulda öğrenme (2nd Editon). (D.A, Özçelik, Trans.). Milli Eğitim Basımevi.
• Church, M. A., Elliot, A. J., & Gable, S. L. (2001). Perceptions of classroom environment. achievement goals, and achievement outcomes. Journal of Educational Psychology, 93, 43-54.https://doi.org/10.1037/0022-0663.93.1.43
• Cigdem, H. & Ozkan, U.B. (2022). Do vocational college students ready for online learning in post-COVID instruction? Journal of Educational Technology & Online Learning, 5(2), 432-442
• Clark, R. C., & Mayer, R. E. (2016). E-learning and the science of instruction: Proven guidelines for consumers and designers of multimedia learning. John Wiley & Sons.
• Dikbaş Torun, E. (2020). Online distance learning in higher education: E-learning readiness as a predictor of academic achievement. Open Praxis, 12(2), 191-208. https://doi.org/10.5944/openpraxis.12.2.1092
• Dweck, C. S., & Elliot, E. S. (1983). Achievement motivation. In P. Mussen & E. M. Heatherington. (Eds.). Handbook of child psychology (Vol. 4. pp. 643-693). Wiley.
• Dweck, C. S., & Leggett, E. L. (1988). A social-cognitive approach to motivation and personality. Psychological review, 95(2), 256.
• Eastin, M. S., & LaRose, R. (2000). Internet self-efficacy and the psychology of the digital divide. Journal of Computer-Mediated Communication, 6(1). https://doi.org/10.1111/j.1083-6101.2000.tb00110.x
• Eccles, J. S., & Wigfield, A. (2002). Motivational beliefs, values, and goals. Annual review of efficacy and reasons for taking an on-line class. Computers in Human Behavior, 18(2). 151-163. https://doi.org/10.1146/annurev.psych.53.100901.135153
• Elçiçek, M., & Erdemci, H. (2021). Investigation of 21st-century competencies and E-learning readiness of higher education students on the verge of digital transformation. Journal of Computer and Education Research, 9(17), 80-101.
• Elliot, A. J., (1999). Approach and avoidance motivation and achievement goals. Educational Psychologist, 34(3), 169-189.
• Elliot, A. J., & Church, M. A. (1997). A hierarchical model of approach and avoidance achievement motivation. Journal of Personality and Social Psychology, 72, 218-232.
• Elliot, A. J., Maier, M. A., Binser, M. J., Friedman, R., & Pekrun, R. (2009).The effect of redon avoidance behavior in achievement contexts. Personality and Social Psychology Bulletin, 35, 365−375.
• Elliot, A. J., & McGregor, H. A. (2001). A 2X2 achievement goal framework. Journal of Personality and Social Psychology, 80, 501-519 DOI: 10.1037/0022-3514.80.3.501.
• Field, A. (2013). Discovering statistics using IBM SPSS statistics. Sage.
• Fraenkel, J. R., & Wallen, N. E. (2006). How to design and evaluate research in education. McGraw Hill.
• Greene, B. A., & Miller, R. B. (1996). Influences on achievement: Goals. perceived ability. and cognitive engagement. Contemporary Educational Research, 21, 181–192.
• Guglielmino, L. M., & Guglielmino, P. J. (2003). Identifying learners who are ready for e-learning and supporting their success. In G.M. Piskurich (Ed), Preparing learners for e-LEARNING (pp. 19-33). John Wiley & Sons.
• Harackiewicz, J. M., Barron, K. E., Tauer, J. M., Carter, S. M., & Elliot, A. J. (2000). Short-term and long-term consequences of achievement goals: Predicting interest and performance over time. Journal of educational psychology, 92(2), 316.
• Hukle, D.R. L. (2009). An evaluation of readiness factors for online education, Mississippi State University, Unpublished Doctoral dissertation, Mississippi.
• Hung, L-M., Chou C., Chen, C-H., & Own, Z-Y. (2010) Learner readiness for online learning: Scale development and student perceptions. Computers & Education, 55, 1080–1090.
• Kaplan, A., & Maehr, M. L. (2007). The contributions and prospects of goal orientation theory. Educ Psychol Rev, 19, 141-184.
• Kaur, K., & Abas, Z. W. (2004. November-December). An assessment of e-Learning readiness at the open university Malaysia. Paper presented at the international conference on computers in education (ICCE2004). Melbourne. Australia.
• Kickul, G., & Kickul, J. (2006). Closing the gap: Impact of student proactivity and learning goal orientation on e-learning outcomes. International Journal on E-Learning, 5(3), 361- 372. https://www.learntechlib.org/p/5958.
• Kruger-Ross, M. J., & Waters, R. D. (2013). Predicting online learning success: Applying the situational theory of publics to the virtual classroom. Computers & Education, 61, 176-184.
• Lopes, C. T. (2007). Evaluating e-learning readiness in a health sciences higher education institution. Proceedings of IADIS International Conference of E-learning. Porto. Portugal.
• Meece, J. L., Anderman, E. M., & Anderman. L. H. (2006). Classroom goal structure. student motivation and academic achievement. Annual. Reviews. Psychology, 57,487-503. Doi: 10.1146/annurev.psych.56.091103.070258.
• Metallidou, P., & Stamovlasis, D. (2020). University students’ perfectionistic profiles: Do they predict achievement goal orientations and coping strategies?. Journal of Educational and Developmental Psychology, 10(2), 1-57.
• Midgley, C., Kaplan, A., & Middleton, M. (2001). Performance-approach goals: Good for what. for whom. under what circumstances. and at what cost? Journal of Educational Psychology, 93(1), 77– 86. https://doi.org/10.1037/0022-0663.93.1.77.
• Niemivirta, M., Pulkka, A.-T., Tapola, A., & Tuominen, H. (2019). Achievement goal orientations: A person-oriented approach. In K. A. Renninger & S. E. Hidi (Eds.), The Cambridge handbook of motivation and learning (pp. 566–616). Cambridge University Press.
• O’Brien, R. M. (2007). A caution regarding rules of thumb for variance inflation factors. Quality & quantity. 41(5), 673-690.
• Parnell, J. A., & Carraher, S. (2003). The management education by internet readiness (MEBIR) scale: Developing a scale to assess personal readiness for Internet-mediated management education. Journal of Management Education, 27(4), 431–446. https://doi.org/10.1177/1052562903252506
• Pastor, D. A., Barron, K. E., Miller, B. J., & Davis, S. L. (2007). A latent profile analysis of college students’ achievement goal orientation. Contemporary educational psychology, 32(1), 8-47.
• Pearson, E. S., & Hartley, H. 0. (1958). Biometrika tables for statisticians. Cambridge University Press.
• Pintrich, P. R. (2000). Multiple goals. multiple pathways: The role of goal orientation in learning and achievement. Journal of Educational Psychology, 92(3), 544-555.
• Pintrich, P. R., Conley, A. M., & Kempler, T. M. (2003). Current issues in achievement goal theory and research. International Journal of Educational Research, 39, 319-337.
• Piskurich, G., M. (2003). Preparing learners for e-learning. John Wiley & Sons.
• Polso, K. M., Tuominen, H., Hellas, A., & Ihantola, P. (2020. June). Achievement goal orientation profiles and performance in a programming MOOC. ACM Conference on Innovation and Technology in Computer Science Education (pp. 411-417).
• Sahin, M., Keskin, S., & Yurdugül, H. (2018). Online learners' readiness and learning interactions: A sequential analysis. In International Association for Development of the Information Society.
• Senko, C., Hulleman, C. S., & Harackiewicz, J. M. (2011). Achievement goal theory at the crossroads: Old controversies, current challenges, and new directions. Educational psychologist, 46(1), 26-47.
• Sins, P. H., van Joolingen, W. R., Savelsbergh, E. R., & van Hout-Wolters, B. (2008). Motivation and performance within a collaborative computer-based modeling task: Relations between students’ achievement goal orientation. self-efficacy. cognitive processing. and achievement. Contemporary Educational Psychology, 33(1), 58-77. https://doi.org/10.1016/j.cedpsych.2006.12.004
• So, T., & Swatman, P.M.C. (2006). E-Learning readiness of Hong Kong teachers. Hong Kong IT in Education Conference 2006 “Capacity Building for Learning through IT” (HKITEC2006), February 6–8, 2006, Hong Kong Exhibition and Convention Centre, Hong Kong.
• Stevens, J. P. (2009). Applied multivariate statistics for the social sciences. Routledge.
• 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.
• Tabachnick. B. G., & Fidell. L. S. (2013). Using multivariate statistics (6th ed.). Pearson.
• Thompson. B. (2005). Canonical correlation analysis. Encyclopedia of statistics in behavioral science. Wiley.
• Thorndike, R. L. (1971). Concepts of culture‐fairness. Journal of Educational Measurement, 8(2), 63-70.
• Tsai, M. J., & Tsai, C. C. (2003). Information searching strategies in web-based science learning: The role of internet self-efficacy. Innovations in education and Teaching International, 40(1), 43–50. https://doi.org/10.1080/1355800032000038822
• Tomić, B., Milikić, N., Jovanović, J., & Devedžić, V. (2020, October). Examining Attendance. Performance and Interest in a CS Course in Relation to Students’ Achievement Goal Orientation and Self-Evaluation. International Conference on Information Technology and Development of Education – ITRO 2020 October. 2020. Zrenjanin. Republic of Serbia.
• Wang, H., & Lehman, J. D. (2021). Using achievement goal-based personalized motivational feedback to enhance online learning. Educational Technology Research and Development, 69(2), 553-581.
• Warner, D., Christie, G., & Choy, S. (1998). Readiness of VET clients for flexible delivery including on-line learning. Australian National Training Authority. http://hdl.voced.edu.au/10707/33256
• Wolters, C. A. (2004). Advancing achievement goal theory: Using goal structures and goal orientations to predict students' motivation, cognition, and achievement. Journal of educational psychology, 96(2), 236.
• Xie, K., & Huang, K. (2014). The role of beliefs and motivation in asynchronous online learning in college-level classes. Journal of Educational Computing Research, 50(3), 315–341.
• Yavuzalp, N., & Bahcivan, E. (2021). A structural equation modeling analysis of relationships among university students’ readiness for e-learning, self-regulation skills, satisfaction, and academic achievement. Research and Practice in Technology Enhanced Learning, 16(1), 1-17.
• Yeh, Y. C., Kwok, O. M., Chien, H. Y., Sweany, N. W., Baek, E., & McIntosh, W. A. (2019). How College Students' Achievement Goal Orientations Predict Their Expected Online Learning Outcome: The Mediation Roles of Self-Regulated Learning Strategies and Supportive Online Learning Behaviors. Online Learning, 23(4), 23-41.
• Yenilmez, K., & Kakmacı, Ö. (2008). İlköğretim yedinci sınıf öğrencilerinin matematikteki hazır bulunuşluk düzeyi. Kastamonu Eğitim Dergisi, 16(2), 529-542.
• Yılmaz, R., Sezer, B., & Yurdugül, H. (2019). Üniversite öğrencilerinin e-öğrenmeye hazır bulunuşluklarının incelenmesi: Bartın Üniversitesi örneği. Ege Eğitim Dergisi, 20(1), 180-195.
• Yurdugül, H., & Demir, Ö. (2017). An investigation of pre-service teachers' readiness for e-learning at undergraduate level teacher training programs: The case of Hacettepe University. Hacettepe University Journal of Education Faculty, 32(4), 896-915.