Abstract
Each learner brings a unique mix of personality traits, preferences, and talents to the educational setting. These factors can influence the extent to which learners are able to effectively deploy skills and strategies to achieve their academic goals. Gaining a deeper awareness of how specific personality traits play a role in the choice and deployment of SRL strategies provides opportunities to anticipate which learners might be effective or ineffective self-regulators. Doing so would enable instructional designers, educators, or higher education administrators to better plan and deliver effective educational experiences for a wide range of learners. The purpose of this study was to investigate the extent to which the use of SRL strategies was impacted by learner differences in Big Five personality traits. This mixed methods study examined the potential of utilizing the Big Five Inventory classification as a predictor of self-regulated strategy use. Specifically, the study investigated the relationship between the existence of openness, conscientiousness, extraversion, agreeableness, and neuroticism traits as possible predictors of learner use of SRL strategies. Results indicated that learners high in openness, conscientiousness, extraversion, and agreeableness were shown to be more skilled self-regulators than those high in neuroticism. Those high in neuroticism were less skilled self-regulators and tended to use help-seeking strategies more frequently than those in other personality trait categories. The qualitative findings highlighted the need for effective time management as an important self-regulation strategy, a preference for face to face versus an on-line delivery format, and a lack of motivation. However, responses did not seem to systematically vary by personality trait.
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Abrami, P. C., Bernard, R. M., Bures, E. M., Borokhovski, E., & Tamim, R. M. (2011). Interaction in distance education and online learning: Using evidence and theory to improve practice. Journal of Computing in Higher Education, 23(2–3), 82–103.
Allport, G. W., & Odbert, H. S. (1936). Trait-names: A psycho-lexical study. Psychological Monographs, 47(1), i–171.
Andrade, M. S., & Bunker, E. L. (2009). A model for self-regulated distance language learning. Distance Education, 30(1), 47–61.
Ardi, P. (2017). Promoting learner autonomy through schoology m-learning platform in an EAP class at an Indonesian University. Teaching English with Technology, 17(2), 55–76.
Artino, A. R. (2008). Motivational beliefs and perceptions of instructional quality: Predicting satisfaction with online training. Journal of Computer Assisted Learning, 24, 260–270.
Azevedo, R., & Cromley, J. G. (2004). Does training on self-regulated learning facilitate students' learning with hypermedia? Journal of Educational Psychology, 96(3), 523–535.
Bakker, A. B., Vergel, A. I. S., & Kuntze, J. (2015). Student engagement and performance: A weekly diary study on the role of openness. Motivation and Emotion, 39(1), 49–62.
Bambara, C. S., Harbour, C. P., Davies, T. G., & Athey, S. (2009). The lived experience of community college students enrolled in high-risk online courses. Community College Review, 36(3), 219–238.
Bannert, M., Reimann, P., & Sonnenbergm, C. (2014). Process mining techniques for analysing patterns and strategies in students' self-regulated learning. Metacognition & Learning, 9(2), 161–185.
Barak, M., Dori, Y., & Hussein-Farraj, R. (2016). On-campus or online: Examining self-regulation and cognitive transfer skills in different learning settings. International Journal of Educational Technology in Higher Education, 13(1), 1–18.
Barnard, L., Lan, W. Y., To, Y. M., Paton, V. O., & Lai, S. L. (2009). Measuring self-regulation in online and blended learning environments. The Internet and Higher Education, 12(1), 1–6.
Barnard-Brak, L., Paton, V. O., & Lan, W. Y. (2010). Profiles in self-regulated learning in an online learning environment. International Review of Research in Open and Distance Learning, 11(1), 61–77.
Bidjerano, T., & Dai, D. Y. (2007). The relationship between the big-five model of personality and self-regulated learning strategies. Learning & Individual Differences, 17(1), 69–81.
Boekaerts, M. (1997). Self-regulated learning: A new concept embraced by researchers, policy makers, educators, teachers, and students. Learning & Instruction, 7(2), 161–186.
Bol, L., & Garner, J. (2011). The challenges of supporting self-regulation in distance education environments. Journal of Computing in Higher Education, 23(2–3), 104–123.
Bol, L., Hacker, D. J., O’Shea, P., & Allen, D. (2005). The influence of overt practice, achievement level, and explanatory style on calibration accuracy and performance. The Journal of Experimental Education, 73, 269–290.
Bonaccio, S., & Reeve, C. L. (2010). The nature and relative importance of students' perceptions of the sources of test anxiety. Learning & Individual Differences, 20(6), 617–625.
Borkowski, J. G. (1996). Metacognition: Theory or chapter heading? Learning & Individual Differences, 8, 391–402.
Britton, B. K., & Tesser, A. (1991). Effects of time-management principles on college grades. Journal of Educational Psychology, 83(3), 405–410.
Broadbent, J. (2017). Comparing online and blended learner's self-regulated learning strategies and academic performance. Internet and Higher Education, 33, 24–32.
Brookfield, S. (2009). Self-directed learning. In R. Maclean, D. Wilson, & S. Brookfield (Eds.), International handbook of education for the changing world of work (pp. 2615–2627). Dordrecht: Springer.
Cattell, R. B., & Coan, R. W. (1957). Personality factors in middle childhood as revealed in parents' ratings. Child Development, 28(4), 439–458.
Chamorro-Premuzic, T., & Furnham, A. (2003). Personality predicts academic performance: Evidence from two longitudinal university samples. Journal of Research in Personality, 37, 319–338.
Chamorro-Premuzic, T., & Furnham, A. (2009). Mainly openness: The relationship between the Big Five personality traits and learning approaches. Learning and Individual Differences, 19(4), 524–529.
Chan, D. (2009). So why ask me? Are self-report data really that bad? In C. E. Lance, & R. J. Vandenberg (Eds.), Statistical and methodological myths and urban legends: Doctrine, verity and fable in the organizational and social sciences (pp. 309–336).
Cho, M. H., & Heron, M. L. (2015). Self-regulated learning: The role of motivation, emotion, and use of learning strategies in students’ learning experiences in a self-paced online mathematics course. Distance Education, 36(1), 80–99.
Cho, M. H., & Shen, D. (2013). Self-regulation in online learning. Distance Education, 34, 290–301.
Cohen, A., & Baruth, O. (2017). Personality, learning, and satisfaction in fully online academic courses. Computers in Human Behavior, 72, 1–12.
Cortina, J. M. (1993). What is coefficient alpha? An examination of theory and applications. Journal of Applied Psychology, 78(1), 98–104.
De Raad, B., & Schouwenburg, H. C. (1996). Personality in learning and education. European Journal of Personality, 10, 303–336.
Deimann, M., & Bastiaens, T. (2010). The role of volition in distance education: An exploration of its capacities. The International Review of Research in Open and Distance Learning, 11(1), 1–16.
Deimann, M., & Keller, J. (2006). Volitional aspects of multimedia learning. Journal of Educational Multimedia and Hypermedia, 15(2), 137–158.
Digman, J. M. (1972). High school academic achievement as seen in the context of a longitudinal study of personality. Proceedings of the Annual Convention of the American Psychological Association, 7(Part 1), 19–20.
Diseth, Å. (2003). Personality and approaches to learning as predictors of academic achievement. European Journal of Personality, 17(2), 143–155.
Dörrenbächer, L., & Perels, F. (2016). Self-regulated learning profiles in college students: Their relationship to achievement, personality, and the effectiveness of an intervention to foster self-regulated learning. Learning & Individual Differences, 51, 229–241.
Driscoll, A., Jicha, K., Hunt, A. N., Tichavsky, L., & Thompson, G. (2012). Can online courses deliver in-class results? A comparison of student performance and satisfaction in an online versus a face-to-face introductory sociology course. Teaching Sociology, 40(4), 312–331.
Effeney, G., Carroll, A., & Bahr, N. (2013). Self-regulated learning: Key strategies and their sources in a sample of adolescent males. Australian Journal of Educational & Developmental Psychology, 13, 58–74.
Efklides, A. (2011). Interactions of metacognition with motivation and affect in self-regulated learning: The MASRL model. Educational Psychologist, 46(1), 6–25.
Eilam, B., Zeidner, M., & Aharon, I. (2009). Student conscientiousness, self-regulated learning, and science achievement: An explorative field study. Psychology in the Schools, 46(5), 420–432.
El Mansour, B., & Mupinga, D. M. (2007). Students’ positive and negative experiences in hybrid and online classes. College Student Journal, 41(1), 242–248.
Fiske, D. W. (1949). Consistency of the factorial structures of personality ratings from different sources. The Journal of Abnormal and Social Psychology, 44(3), 329.
Geisler-Brenstein, E., Schmeck, R. R., & Hetherington, J. (1996). An individual difference perspective on student diversity. Higher Education, 31(1), 73–96.
Ghyasi, M., Yazdani, M., & Farsani, M. A. (2013). The relationship between personality types and self-regulated learning strategies of language learners. International Journal of Applied Linguistics and English Literature, 2(4), 74–82.
Gill, P., Stewart, K., Treasure, E., & Chadwick, B. (2008). Methods of data collection in qualitative research: Interviews and focus groups. British Dental Journal, 204(6), 291–295.
Hacker, D. J., & Bol, L. (2019). Calibration and self-regulated learning: Making the connections. In J. Dunlosky & K. Rawson (Eds.), Cambridge handbook on cognition and education. Cambridge, UK: Cambridge University Press.
Häfner, A., Stock, A., & Oberst, V. (2015). Decreasing students’ stress through time management training: An intervention study. European Journal of Psychology of Education, 30(1), 81–94.
Herrington, J., Reeves, T. C., & Oliver, R. (2006). Authentic tasks online: A synergy among learner, task, and technology. Distance Education, 27(2), 233–247.
Hattie, J. (2009). Visible learning. London: Routledge.
Heckhausen, H., & Kuhl, J. (1985). From wishes to actions: The dead ends and short cuts on the long way to action. In M. Frese & J. Sabini (Eds.), Goal-directed behavior: The concept of action in psychology (pp. 134–159). Hillsdale, NJ: Erlbaum.
Hu, P., & Zhang, J. (2017). A pathway to learner autonomy: A self-determination theory perspective. Asia Pacific Education Review, 18(1), 147–157.
Illovsky, M. E. (2010). Psychological comparisons of undergraduate and graduate college of education students. International Journal of Teaching & Learning in Higher Education, 22(3), 238–245.
Jaggars, S. S. (2014). Choosing between online and face-to-face courses: Community college student voices. American Journal of Distance Education, 28(1), 27–38.
John, O. P. (1990). The ‘‘Big Five’’ factor taxonomy: Dimensions of personality in the natural language and in questionnaires. In L. A. Pervin (Ed.), Handbook of personality theory and research (pp. 66–100). New York: Guilford.
Kachman, D. J. (1987). The effects of rational emotive education on the rationality, neuroticism and defense mechanisms of adolescents. Doctoral diss., Dissertations, 2256.
Kanuka, H. (2002). Guiding principles for facilitating higher levels of web-based distance teaching and learning in post-secondary settings. Distance Education, 23(2), 163–182.
Kauffman, H. (2015). A review of predictive factors of student success in and satisfaction with online learning. Research in Learning Technology. https://doi.org/10.3402/rlt.v23.26507.
Karabenick, S. A. (2011). Classroom and technology-supported help seeking: The need for converging research paradigms. Learning and Instruction, 21, 290–296.
Keller, H., & Karau, S. J. (2013). The importance of personality in students’ perceptions of the online learning experience. Computers in Human Behavior, 29(6), 2494–2500.
Kesici, S., Baloglu, M., & Deniz, M. E. (2011). Self-regulated learning strategies in relation with statistics anxiety. Learning & Individual Differences, 21(4), 472–477.
Khaled, A., Gulikers, J., Biemans, H., & Mulder, M. (2016). Occurrences and quality of teacher and student strategies for self-regulated learning in hands-on simulations. Studies in Continuing Education, 38(1), 101–121.
Kim, C., & Hodges, C. B. (2012). Effects of an emotion control treatment on academic emotions, motivation and achievement in an online mathematics course. Instructional Science, 40, 173–192.
King, F. B., Harner, M., & Brown, S. W. (2000). Self-regulatory behavior influences in distance education. International Journal of Instructional Media, 27(2), 147.
Kizilcec, R. F., Pérez-Sanagustín, M., & Maldonado, J. J. (2017). Self-regulated learning strategies predict learner behavior and goal attainment in Massive Open Online Courses. Computers & education, 104, 18–33.
Komarraju, M., Karau, S. J., & Schmeck, R. R. (2009). Role of the Big Five personality traits in predicting college students' academic motivation and achievement. Learning & Individual Differences, 19(1), 47–52.
Lee, L. (2016). Autonomous learning through task-based instruction in fully online language courses. Language Learning & Technology, 20(2), 81–97.
Leedy, P. D., & Ormrod, J. E. (2009). Practical research: Planning and design. Upper Saddle River, NJ: Pearson.
Lynch, R., & Dembo, M. (2004). The relationship between self-regulation and online learning in a blended learning context. International Review of Research in Open & Distance Learning, 5(2), 1–13.
Mahasneh, R. A., Sowan, A. K., & Nassar, Y. H. (2012). Academic help-seeking in online and face-to-face learning environments. E-Learning and Digital Media, 9(2), 196–210.
McBrien, J. L., Jones, P., & Cheng, R. (2009). Virtual spaces: Employing a synchronous online classroom to facilitate student engagement in online learning. International Review of Research in Open & Distance Learning, 10(3), 1–17.
McMahon, M., & Luca, J. (2001). Assessing students’ self-regulatory skills. Australasian Society for Computers in Learning in Tertiary Education, 427–434.
Mega, C., Ronconi, L., & De Beni, R. (2014). What makes a good student? How emotions, self-regulated learning, and motivation contribute to academic achievement. Journal of Educational Psychology, 106(1), 121.
Mezirow, J. (1990). How critical reflection triggers transformative learning. Fostering critical reflection in adulthood. A Guide to Transformative and Emancipatory Learning, 1, 20–25.
Mirhashemi, M., & Goodarzi, H. (2014). Self-regulated learning strategies: The role of personal factors (motivational beliefs and Personality). Journal of Educational and Management Studies, 4(1), 152–161.
Muilenburg, L. Y., & Berge, Z. L. (2005). Student barriers to online learning: A factor analytic study. Distance Education, 26(1), 29–48.
Nelson, K. G., Shell, D. F., Husman, J., Fishman, E. J., & Soh, L. K. (2015). Motivational and self-regulated learning profiles of students taking a foundational engineering course. Journal of Engineering Education, 104(1), 74–100.
Nicol, D. J., & Macfarlane-Dick, D. (2006). Formative assessment and self-regulated learning: A model and seven principles of good feedback practice. Studies in Higher Education, 31(2), 199–218.
Norman, W. T. (1967). 2800 personality trait descriptors: Normative operating characteristics for a university population. U.S. Department of Health, Education, and Welfare, Report 014738.
Omheni, N., Kalboussi, A., Mazhoud, O., & Kacem, A. H. (2017). Recognition of learner's personality traits through digital annotations in distance learning. International Journal of Distance Education Technologies, 15(1), 28–51.
Palmer, S. (2004). Authenticity in assessment: Reflecting undergraduate study and professional practice. European Journal of Engineering Education, 29(2), 193–202.
Patrick, C. L. (2011). Student evaluations of teaching: Effects of the Big Five personality traits, grades and the validity hypothesis. Assessment & Evaluation in Higher Education, 36(2), 239–249.
Peabody, D., & Goldberg, L. R. (1989). Some determinants of factor structures from personality-trait descriptors. Journal of Personality and Social Psychology, 57(3), 552.
Pintrich, P. R. (1999). The role of motivation in promoting and sustaining self-regulated learning. International Journal of Educational Research, 31(6), 459–470.
Pintrich, P. R. (2002). The role of metacognitive knowledge in learning, teaching, and assessing. Theory into Practice, 41(4), 219–225.
Pintrich, P. R. (2004). A conceptual framework for assessing motivation and self-regulated learning in college students. Educational Psychology Review, 16(4), 385–407.
Pintrich, P. R., & DeGroot, E. V. (1990). Motivational and self-regulated learning components of classroom academic performance. Journal of Educational Psychology, 82, 33–40.
Pintrich, P. R., Roeser, R. W., & De Groot, E. A. (1994). Classroom and individual differences in early adolescents' motivation and self-regulated learning. The Journal of Early Adolescence, 14(2), 139–161.
Puustinen, M., & Pulkkinen, L. (2001). Models of self-regulated learning: A review. Scandinavian Journal of Educational Research, 45(3), 269–286.
Puzziferro, M. (2008). Online technologies self-efficacy and self-regulated learning as predictors of final grade and satisfaction in college-level online courses. American Journal of Distance Education, 22(2), 72–89.
Reinders, H. (2018). Technology and autonomy. The TESOL encyclopedia of English language teaching. New York: Wiley.
Ridley, D. S., Schutz, P. A., Glanz, R. S., & Weinstein, C. E. (1992). Self-regulated learning: The interactive influence of metacognitive awareness and goal-setting. Journal of Experimental Education, 60(4), 293–306.
Sapp, D. A., & Simon, J. (2005). Comparing grades in online and face-to-face writing courses: Interpersonal accountability and institutional commitment. Computers and Composition, 22(4), 471–489.
Shell, D. F., & Soh, L. K. (2013). Profiles of motivated self-regulation in college computer science courses: Differences in major versus required non-major courses. Journal of Science Education and Technology, 22(6), 899–913.
Shih, C. C., & Gamon, J. A. (2002). Relationships among learning strategies, patterns, styles, and achievement in web-based courses. Journal of Agricultural Education, 43(4), 1–11.
Soto, C. J., & John, O. P. (2009). Ten facet scales for the Big Five Inventory: Convergence with NEO PI-R facets, self-peer agreement, and discriminant validity. Journal of Research in Personality, 43(1), 84–90.
Strauss, A., & Corbin, J. (1998). Basics of qualitative research: Grounded theory procedures and techniques. Thousand Oaks, CA: Sage.
Swaffield, S. (2011). Getting to the heart of authentic assessment for learning. Assessment in Education: Principles, Policy and Practice, 18(4), 433–449.
Tezci, E., Sezer, F., Aktan, S., & Gurgan, U. (2016). Do lifestyles shape self-regulated learning strategies? Eurasian Journal of Educational Research, 65, 239–258.
Thorndike, R. M., & Thorndike-Christ, T. M. (2009). Measurement and evaluation in psychology and education (8th ed.). Boston, MA: Pearson.
Thurstone, L. L. (1934). The vectors of mind. Psychological Review, 41, 1–32.
Thurstone, L. L. (1951). The dimensions of temperament. Psychometrika, 16, 11–20.
Tichavsky, L. P., Hunt, A. N., Driscoll, A., & Jicha, K. (2015). It’s just nice having a real teacher: Student perceptions of online versus face-to-face instruction. International Journal for the Scholarship of Teaching and Learning, 9(2), 2.
Tupes, E. C., & Christal, R. C. (1958). Stability of personality trait rating factors obtained under diverse conditions. Wright Air Development Center, Wright-Patterson AFB, OH. (No. WADC-TN-58-61).
Tupes, E. C., & Christal, R. C. (1961). Recurrent personality factors based on trait ratings. Wright-Patterson AFB, OH: Wright Air Development Center.
Valle, A., Núñez, J. C., Cabanach, R. G., González-Pienda, J. A., Rodríguez, S., Rosário, P., et al. (2008). Self-regulated profiles and academic achievement. Psicothema, 20(4), 724–731.
Varela, O. E., Cater, J. J., & Michel, N. (2012). Online learning in management education: An empirical study of the role of personality traits. Journal of Computing in Higher Education, 24(3), 209–225.
Villarroel, V., Bloxham, S., Bruna, D., Bruna, C., & Herrera-Seda, C. (2018). Authentic assessment: Creating a blueprint for course design. Assessment & Evaluation in Higher Education, 43(5), 840–854.
Whipp, J. L., & Chiarelli, S. (2004). Self-regulation in a web-based course: A case study. Educational Technology Research and Development, 52(4), 5–21.
Wiggins, G. (1990). The case for authentic assessment. Practical Assessment, Research & Evaluation, 2(2), 28–37.
Wilson, K., & Narayan, A. (2016). Relationships among individual task self-efficacy, self-regulated learning strategy use and academic performance in a computer-supported collaborative learning environment. Educational Psychology, 36(2), 236–253.
Winne, P. H. (1996). A metacognitive view of individual differences in self-regulated learning. Learning & Individual Differences, 8, 327–353.
Winne, P. H., & Hadwin, A. F. (1998). Studying as self-regulated engagement in learning. In D. Hacker, J. Dunlosky, & A. Graesser (Eds.), Metacognition in educational theory and practice. Hillsdale, NJ: Erlbaum.
Worrell, F. C., & Cross, W. E. (2004). The reliability and validity of Big Five Inventory Scores with African American college students. Journal of Multicultural Counseling and Development, 32, 18–32.
Yukselturk, E., & Bulut, S. (2007). Predictors for student success in an online course. Journal of Educational Technology & Society, 10(2), 71–83.
Yukselturk, E., & Top, E. (2013). Exploring the link among entry characteristics, participation behaviors and course outcomes of online learners: An examination of learner profile using cluster analysis. British Journal of Educational Technology, 44(5), 716–728.
Zimmerman, B. J. (1989). A social cognitive view of self-regulated academic learning. Journal of Educational Psychology, 81, 329–339.
Zimmerman, B. J. (1998). Academic studying and the development of personal skill: A self-regulatory perspective. Educational Psychologist, 33(2–3), 73–86.
Zimmerman, B. J. (2002). Becoming a self-regulated learner: An overview. Theory into Practice, 41(2), 64–70.
Zimmerman, B. J. (2005). Attaining self-regulation: A social cognitive perspective. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation (pp. 13–39). Burlington, MA: Elsevier.
Zimmerman, B. J., & Martinez-Pons, M. (1990). Student differences in self-regulated learning: Relating grade, sex, and giftedness to self-efficacy and strategy use. Journal of Educational Psychology, 82(1), 51–59.
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Bruso, J., Stefaniak, J. & Bol, L. An examination of personality traits as a predictor of the use of self-regulated learning strategies and considerations for online instruction. Education Tech Research Dev 68, 2659–2683 (2020). https://doi.org/10.1007/s11423-020-09797-y
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DOI: https://doi.org/10.1007/s11423-020-09797-y