Advertisement

Journal of Computing in Higher Education

, Volume 21, Issue 2, pp 146–166 | Cite as

Think, feel, act: motivational and emotional influences on military students’ online academic success

  • Anthony R. Artino
Article

Abstract

This study employed a social-cognitive view of self-regulated learning to examine how several personal factors relate to academic success in an online course. Service academy undergraduates (N = 481) completed a survey that assessed their motivational beliefs (self-efficacy and task value); negative achievement emotions (boredom and frustration); and several outcomes that included their use of self-regulated learning strategies (elaboration and metacognition), course satisfaction, and continuing motivation to enroll in future online courses. Results from several multiple regressions revealed that task value beliefs were the strongest and most consistent positive predictors of elaboration, metacognition, satisfaction, and continuing motivation; whereas self-efficacy beliefs were moderately strong positive predictors of satisfaction and continuing motivation only. On the other hand, students’ boredom and frustration were statistically significant predictors of metacognition, with boredom emerging as a negative predictor and frustration unexpectedly emerging as a positive predictor. Furthermore, both boredom and frustration were negatively related to satisfaction and continuing motivation. Taken together, results from this study provide some insight into the complex relations between students’ thoughts, feelings, and actions in an online course. Theoretical and empirical implications are discussed, as are study limitations and future directions.

Keywords

Motivational beliefs Achievement emotions Self-regulated learning Continuing motivation Satisfaction Online learning Web-based training 

References

  1. Abrami, P. C., & Bernard, R. M. (2006). Research on distance education: In defense of field experiments. Distance Education, 24, 5–26.CrossRefGoogle Scholar
  2. Alexander, P., Graham, S., & Harris, K. (1998). A perspective on strategy research: Progress and prospects. Educational Psychology Review, 10, 129–154.CrossRefGoogle Scholar
  3. Arbuckle, J. L. (2006). Amos 7.0 user’s guide. Chicago, IL: SPSS, Inc.Google Scholar
  4. Artino, A. R. (2007). Online military training: Using a social cognitive view of motivation and self-regulation to understand students’ satisfaction, perceived learning, and choice. Quarterly Review of Distance Education, 8, 191–202.Google Scholar
  5. Artino, A. R. (2008). Motivational beliefs and perceptions of instructional quality: Predicting satisfaction with online training. Journal of Computer Assisted Learning, 24, 260–270.CrossRefGoogle Scholar
  6. Artino, A. R., & McCoach, D. B. (2008). Development and initial validation of the online learning value and efficacy scale. Journal of Educational Computing Research, 38, 279–303.CrossRefGoogle Scholar
  7. Artino, A. R., & Stephens, J. M. (2006). Learning online: Motivated to self-regulation? Academic Exchange Quarterly, 10(4), 176–182.Google Scholar
  8. Azevedo, R. (2005). Using hypermedia as a metacognitive tool for enhancing student learning? The role of self-regulated learning. Educational Psychologist, 40, 199–209.CrossRefGoogle Scholar
  9. Bandura, A. (1997). Self-efficacy: The exercise of control. New York: W. H. Freeman and Company.Google Scholar
  10. Bandura, A. (2006). Guide for constructing self-efficacy scales. In F. Pajares & T. Urdan (Eds.), Adolescence and education, Vol. 4: Self-efficacy beliefs of adolescents (pp. 307–337). Greenwich, CT: Information Age Publishing.Google Scholar
  11. Bandura, A., & Schunk, D. H. (1981). Cultivating competence, self-efficacy, and intrinsic interest through proximal self-motivation. Journal of Personality and Social Psychology, 41, 586–598.CrossRefGoogle Scholar
  12. Bernard, R. M., Abrami, P. C., Lou, Y., Borokhovski, E., Wade, A., Wozney, L., et al. (2004). How does distance education compare with classroom instruction? A meta-analysis of the empirical literature. Review of Educational Research, 74, 379–439.CrossRefGoogle Scholar
  13. Boekaerts, M., & Cascallar, E. (2006). How far have we moved toward the integration of theory and practice in self-regulation? Educational Psychology Review, 18, 199–210.CrossRefGoogle Scholar
  14. Chiu, C., Sun, S., Sun, P., & Ju, T. L. (2007). An empirical analysis of the antecedents of web-based learning continuance. Computers & Education, 49, 1224–1245.CrossRefGoogle Scholar
  15. Chyung, S. Y. (2001). Systematic and systemic approaches to reducing attrition rates in online higher education. The American Journal of Distance Education, 15(3), 36–49.CrossRefGoogle Scholar
  16. Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum Associates.Google Scholar
  17. Dabbagh, N., & Kitsantas, A. (2004). Supporting self-regulation in student-centered web-based learning environments. International Journal on E-Learning, 3(1), 40–47.Google Scholar
  18. Eccles, J., & Wigfield, A. (1995). In the mind of the actor: The structure of adolescents’ achievement task values and expectancy-related beliefs. Personality and Social Psychology Bulletin, 21, 215–225.CrossRefGoogle Scholar
  19. Eccles, J. S., & Wigfield, A. (2002). Motivational beliefs, values, and goals. Annual Review of Psychology, 53, 109–132.CrossRefGoogle Scholar
  20. Flavell, J. (1979). Metacognition and cognitive monitoring: A new area of cognitive-developmental inquiry. American Psychologist, 34, 906–911.CrossRefGoogle Scholar
  21. Gable, R. K., & Wolfe, M. B. (1993). Instrument development in the affective domain: Measuring attitudes and values in corporate and school settings. Boston: Kluwer Academic Publishers.Google Scholar
  22. Goetz, T., Pekrun, R., Hall, N., & Haag, L. (2006). Academic emotions from a social-cognitive perspective: Antecedents and domain specificity of students’ affect in the context of Latin instruction. British Journal of Educational Psychology, 76, 289–308.CrossRefGoogle Scholar
  23. Gunawardena, C. N., & McIsaac, M. S. (2004). Distance education. In D. H. Jonassen (Ed.), Handbook of research for educational communications and technology (2nd ed., pp. 355–396). Mahwah, NJ: Erlbaum.Google Scholar
  24. Hadwin, A. F., Nesbit, J. C., Jamieson-Noel, D., Code, J., & Winne, P. H. (2007). Examining trace data to explore self-regulated learning. Metacognition and Learning, 2, 107–124.CrossRefGoogle Scholar
  25. Hamilton, R. J. (1997). Effects of three types of elaboration on learning concepts from text. Contemporary Educational Psychology, 22, 299–318.CrossRefGoogle Scholar
  26. Hartley, K., & Bendixen, L. D. (2001). Educational research in the Internet age: Examining the role of individual characteristics. Educational Researcher, 30(9), 22–26.CrossRefGoogle Scholar
  27. Hsu, J. T. (1997). Value, expectancy, metacognition, resourced management, and academic achievement: A structural model of self-regulated learning in a distance education context. Dissertation Abstracts International, 59(5), 1458. (UMI No. 9835152).Google Scholar
  28. Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55.CrossRefGoogle Scholar
  29. Joo, Y., Bong, M., & Choi, H. (2000). Self-efficacy for self-regulated learning, academic self-efficacy, and Internet self-efficacy in Web-based instruction. Educational Technology Research and Development, 48(2), 5–17.CrossRefGoogle Scholar
  30. Judd, C. M., & Kenny, D. A. (1981). Estimating the effects of social interventions. Cambridge: Cambridge University Press.Google Scholar
  31. Kinzie, M. B., & Sullivan, H. J. (1989). Continuing motivation, learner control, and CAI. Educational Technology Research and Development, 37(2), 5–14.CrossRefGoogle Scholar
  32. Klein, J. D., Erchul, J. A., & Pridemore, D. R. (1994). Effects of individual versus cooperative learning and type of reward on performance and continuing motivation. Contemporary Educational Psychology, 19, 23–32.CrossRefGoogle Scholar
  33. Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed.). New York: The Guilford Press.Google Scholar
  34. Lane, A. M., Whyte, G. P., Terry, P. C., & Nevill, A. M. (2005). Mood, self-set goals and examination performance: The moderating effect of depressed mood. Personality and Individual Differences, 39, 143–153.CrossRefGoogle Scholar
  35. Larreamendy-Joerns, J., & Leinhardt, G. (2006). Going the distance with online education. Review of Educational Research, 76, 567–605.CrossRefGoogle Scholar
  36. Lee, C. (2002). The impact of self-efficacy and task value on satisfaction and performance in a web-based course. Dissertation Abstracts International, 63(05), 1798. (UMI No. 3054599).Google Scholar
  37. Lent, R. W., Brown, S. D., & Larking, K. C. (1984). Relation of self-efficacy expectations to academic achievement and persistence. Journal of Counseling Psychology, 31, 356–362.CrossRefGoogle Scholar
  38. Linnenbrink, E. A., & Pintrich, P. R. (2002). Achievement goal theory and affect: An asymmetrical bidirectional model. Educational Psychologist, 37, 69–78.CrossRefGoogle Scholar
  39. Linnenbrink, E. A., & Pintrich, P. R. (2004). Role of affect in cognitive processing in academic contexts. In D. Y. Dai & R. J. Sternberg (Eds.), Motivation, emotion, and cognition: Integrative perspectives on intellectual functioning and development (pp. 57–87). Mahwah, NJ: Lawrence Erlbaum Associates.Google Scholar
  40. Lynch, R., & Dembo, M. (2004). The relationship between self-regulation and online learning in a blended learning context. International Review of Research in Open and Distance Learning, 5(2), 1–16.Google Scholar
  41. Ma, X. (1999). A meta-analysis of the relationship between anxiety toward mathematics and achievement in mathematics. Journal for Research in Mathematics Education, 30, 520–540.CrossRefGoogle Scholar
  42. Maehr, M. (1976). Continuing motivation: An analysis of a seldom considered educational outcome. Review of Educational Research, 46, 443–462.Google Scholar
  43. Miltiadou, M., & Savenye, W. C. (2003). Applying social cognitive constructs of motivation to enhance student success in online distance education. Association for the Advancement of Computing in Education Journal, 11(1), 78–95.Google Scholar
  44. Pajares, F. (1996). Self-efficacy beliefs in academic settings. Review of Educational Research, 66, 543–578.Google Scholar
  45. Pekrun, R. (2006). The control-value theory of achievement emotions: Assumptions, corollaries, and implications for educational research and practice. Educational Psychology Review, 18, 315–341.CrossRefGoogle Scholar
  46. Pekrun, R., Goetz, T., & Perry, R. P. (2005). Achievement emotions questionnaire (AEQ): User’s manual. Munich, Germany: University of Munich, Department of Psychology.Google Scholar
  47. Pekrun, R., Goetz, T., Titz, W., & Perry, R. P. (2002). Academic emotions in students’ self-regulated learning and achievement: A program of qualitative and quantitative research. Educational Psychologist, 37, 99–105.CrossRefGoogle Scholar
  48. Pekrun, R., Hall, N. C., & Perry, R. P. (2008). Boredom in academic settings: Control-value antecedents and performance consequences of a neglected emotion. Paper presented at the annual meeting of the American Educational Research Association, New York, NY.Google Scholar
  49. Persons, D. (2004). Navy e-Learning migrates to Navy Knowledge Online. Retrieved April 20, 2009, from http://www.news.navy.mil/search/display.asp?story_id=15816.
  50. Pintrich, P. R. (1999). The role of motivation in promoting and sustaining self-regulated learning. International Journal of Educational Research, 31, 459–470.CrossRefGoogle Scholar
  51. Pintrich, P. R., & De Groot, E. V. (1990). Motivational and self-regulated learning component of classroom academic performance. Journal of Educational Psychology, 82, 33–40.CrossRefGoogle Scholar
  52. Pintrich, P. R., Smith, D. A. F., Garcia, T., & McKeachie, W. J. (1993). Reliability and predictive validity of the motivated strategies for learning questionnaire (MSLQ). Educational and Psychological Measurement, 53, 801–813.CrossRefGoogle Scholar
  53. Robbins, S. B., Lauver, K., Le, H., Davis, D., Langley, R., & Carlstrom, K. (2004). Do psychosocial and study skill factors predict college outcomes? A meta-analysis. Psychological Bulletin, 130, 261–288.CrossRefGoogle Scholar
  54. Roca, J. C., Chiu, C., & Martinez, F. J. (2006). Understanding e-learning continuance intention: An extension of the technology acceptance model. Human-Computer Studies, 64, 683–696.CrossRefGoogle Scholar
  55. Salomon, G. (1984). Television is “easy” and print is “tough”: The differential investment of mental effort in learning as a function of perceptions and attributions. Journal of Educational Psychology, 76, 647–658.CrossRefGoogle Scholar
  56. Schunk, D. H. (2005). Self-regulated learning: The educational legacy of Paul R. Pintrich. Educational Psychologist, 40, 85–94.CrossRefGoogle Scholar
  57. Schunk, D. H., Pintrich, P. R., & Meece, J. L. (2008). Motivation in education: Theory, research, and applications (3rd ed.). Upper Saddle River, NJ: Pearson Education.Google Scholar
  58. Schunk, D. H., & Zimmerman, B. J. (Eds.). (2008). Motivation and self-regulated learning: Theory, research, and applications. New York: Lawrence Erlbaum Associates.Google Scholar
  59. Shadish, W. R., Cook, T. D., & Campbell, D. T. (2002). Experimental and quasi-experimental designs for generalized causal inference. Boston: Houghton-Mifflin.Google Scholar
  60. Tallent-Runnels, M. K., Thomas, J. A., Lan, W. Y., Cooper, S., Ahern, T. C., Shaw, S. M., et al. (2006). Teaching courses online: A review of the research. Review of Educational Research, 76, 93–135.CrossRefGoogle Scholar
  61. Thorndike, R. M. (2005). Measurement and evaluation in psychology and education (7th ed.). Upper Saddle River, NJ: Pearson Education, Inc.Google Scholar
  62. United States Naval Academy (2007). Class of 2011 profile [Fact sheet]. Retrieved January 18, 2008, from http://www.usna.edu/Admissions/documents/Classof2011Profile.pdf.
  63. Wang, M. C., Haertel, G. D., & Walberg, H. J. (1990). What influences learning? A content analysis of review literature. Journal of Educational Research, 84, 30–43.Google Scholar
  64. Wang, A. Y., & Newlin, M. H. (2002). Predictors of web-student performance: The role of self-efficacy and reasons for taking an on-line class. Computers in Human Behavior, 18, 151–163.CrossRefGoogle Scholar
  65. Whipp, J. L., & Chiarelli, S. (2004). Self-regulation in a web-based course: A case study. Educational Technology Research and Development, 52(4), 5–22.CrossRefGoogle Scholar
  66. Wood, R. E., & Bandura, A. (1989). Social cognitive theory of organizational management. Academy of Management Review, 14, 361–384.CrossRefGoogle Scholar
  67. Wosnitza, M., & Volet, S. (2005). Origin, direction and impact of emotions in social online learning. Learning and Instruction, 15, 449–464.CrossRefGoogle Scholar
  68. Zembylas, M., Theodorou, M., & Pavlakis, A. (2008). The role of emotions in the experience of online learning: Challenges and opportunities. Educational Media International, 45, 107–117.CrossRefGoogle Scholar
  69. Zhao, Y., Lei, J., Yan, B., Lai, C., & Tan, H. S. (2005). What makes the difference? A practical analysis of research on the effectiveness of distance education. Teachers College Record, 107, 1836–1884.CrossRefGoogle Scholar
  70. Zimmerman, B. J. (2000a). Attaining self-regulation: A social cognitive perspective. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation (pp. 13–39). San Diego, CA: Academic.CrossRefGoogle Scholar
  71. Zimmerman, B. J. (2000b). Self-efficacy: An essential motive to learn. Contemporary Educational Psychology, 25, 82–91.CrossRefGoogle Scholar
  72. Zimmerman, B. J. (2008a). Goal setting: A key proactive source of academic self-regulation. In D. H. Schunk & B. J. Zimmerman (Eds.), Motivation and self-regulated learning: Theory, research, and applications (pp. 267–296). New York: Lawrence Erlbaum Associates.Google Scholar
  73. Zimmerman, B. J. (2008b). Investigating self-regulation and motivation: Historical background, methodological developments, and future prospects. American Educational Research Journal, 45, 166–183.CrossRefGoogle Scholar
  74. 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, 51–59.CrossRefGoogle Scholar
  75. Zimmerman, B. J., & Tsikalas, K. E. (2005). Can computer-based learning environments (CBLEs) be used as self-regulatory tools to enhance learning? Educational Psychologist, 40, 267–271.CrossRefGoogle Scholar
  76. Zusho, A., Pintrich, P. R., & Coppola, B. (2003). Skill and will: The role of motivation and cognition in the learning of college chemistry. International Journal of Science Education, 25, 1081–1094.CrossRefGoogle Scholar

Copyright information

© US Government 2009

Authors and Affiliations

  1. 1.US Navy, Department of Preventive Medicine & BiometricsUniformed Services University of the Health SciencesBethesdaUSA

Personalised recommendations