Self-Efficacy and Mobile Learning Technologies: A Case Study of CourseMIRROR

  • Muhsin MenekseEmail author
  • Saira Anwar
  • Senay Purzer


Mobile devices and applications have reshaped daily lives of people of all ages. One outcome of these technologies is increased access to small, powerful computers, wireless communication, and unlimited access to information at any time. These technological innovations are influencing students’ learning outcomes and engagement behaviors in and out of classroom settings as well. Based on these advancements, there is a need for research studies to explore the relationship between students’ self-efficacy beliefs and their learning outcomes in the context of mobile learning technologies. In this chapter, we describe cognitive and motivational outcomes associated with a mobile technology called CourseMIRROR (Mobile In-situ Reflections and Review with Optimized Rubrics). CourseMIRROR was designed to create an interactive environment between students and faculty in college classrooms as it scaffolds students to reflect on their learning experiences while enabling instructors to efficiently monitor students’ reflections to inform instruction. Specifically, we addressed the following research questions in this chapter: (1) Do students with high academic self-efficacy beliefs generate high-quality reflections? (2) To what degree do students’ self-efficacy beliefs and reflection quality scores predict their learning outcomes?


Mobile learning Self-efficacy Reflection Engineering Education Educational technology 


  1. Achterkamp, R., Hermens, H. J., & Vollenbroek-Hutten, M. M. R. (2016). The influence of vicarious experience provided through mobile technology on self-efficacy when learning new tasks. Computers in Human Behavior, 62, 327–332.CrossRefGoogle Scholar
  2. Ahmed, H. B. E. (2016). Duolingo as a bilingual learning app: A case study. Arab World English Journal (AWEJ), 7(2), 255–267 Retrieved from Scholar
  3. Al-Emran, M., Elsherif, H. M., & Shaalan, K. (2016). Investigating attitudes towards the use of mobile learning in higher education. Computers in Human Behavior, 56, 93–102.CrossRefGoogle Scholar
  4. Aljohani, N. R., & Davis, H. C. (2013). Learning analytics and formative assessment to provide immediate detailed feedback using a student centered mobile dashboard. In Next Generation Mobile Apps, Services and Technologies (NGMAST), 2013 Seventh International Conference (pp. 262–267). IEEE.Google Scholar
  5. Altman, D. G. (1991). Practical statistics for medical research. London: Chapman and Hall.Google Scholar
  6. Ashok, S. M. (2011). Abu Dhabi University implements mobile education solution. Computer News Middle East. Retrieved from
  7. Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191–215. Retrieved from Scholar
  8. Bandura, A. (1986). Social foundation of thought and action: A social-cognitive view. Englewood Cliffs, NJ: Prentice-HallGoogle Scholar
  9. Bandura, A. (1989). Regulation of cognitive processes through perceived self-efficacy. Developmental Psychology, 25(5), 729–735. Retrieved from Scholar
  10. Bandura, A. (1994). Self-efficacy. In V. S. Ramachandran (Ed.), Encyclopedia of Human Behavior, vol. 4, pp. 71-81. New York: Academic Press. (Reprinted in H. Friedman [ed.}, Encyclopedia of Mental Health. San Diego: Academic Press, 1998.)Google Scholar
  11. Bandura, A. (1997). Self-efficacy: The exercise of control. New York: W.H. Freeman.Google Scholar
  12. Bandura, A., & Schunk, D. H. (1981). Cultivating competence, self-efficacy, and intrinsic interest through proximal self-motivation. Journal of Personality and Social Psychology, 41(3), 586–598. Retrieved from Scholar
  13. Barile, L. (2011). Mobile technologies for libraries: A list of mobile applications and resources for development. College & Research Libraries News, 72(4), 222–228.CrossRefGoogle Scholar
  14. Beale, R. (2006). How to enhance the experience without interfering with it. Big Issues in Mobile Learning, 10–14.Google Scholar
  15. Blevins, M. A., & Muilenburg, L. (2013). Using class dojo to support student self-regulation. In Proceedings of EdMedia: World Conference on Educational Media and Technology (pp. 1684–1689).Google Scholar
  16. Bong, M. (2002). Predictive utility of subject-, task-, and problem-specific self-efficacy judgments for immediate and delayed academic performances. The Journal of Experimental Education, 70(2), 133–162. Scholar
  17. Celik, V., & Yesilyurt, E. (2013). Attitudes to technology, perceived computer self-efficacy and computer anxiety as predictors of computer supported education. Computers & Education, 60(1), 148–158. Retrieved from Scholar
  18. Chen, B., Seilhamer, R., Bennett, L., & Bauer, S. (2015). Students’ mobile learning practices in higher education: A multi-year study. Educause Review, 7.Google Scholar
  19. Chen, C.-M., & Chen, M.-C. (2009). Mobile formative assessment tool based on data mining techniques for supporting web-based learning. Computers & Education, 52(1), 256–273. Retrieved from Scholar
  20. Chen, I.-S. (2017). Computer self-efficacy, learning performance, and the mediating role of learning engagement. Computers in Human Behavior, 72, 362–370. Retrieved from Scholar
  21. Crowther, P. (2007). Mobile learning environments. In Encyclopedia of mobile computing and commerce (pp. 528–532). IGI Global.Google Scholar
  22. Davies, J. E. (2002). Assessing and predicting information and communication technology literacy in education undergraduates. Unpublished Doctoral Dissertation, University of Alberta, Edmonton, AB.Google Scholar
  23. Dewey, J. (1933). How we think: A restatement of the relation of reflective thinking to the educative process. Lexington, MA: D.C. Heath and company.Google Scholar
  24. Duncan, T. G., & McKeachie, W. J. (2005). The making of the motivated strategies for learning questionnaire. Educational Psychologist, 40(2), 117–128. Scholar
  25. Elias, S. M., & Loomis, R. J. (2002). Utilizing need for cognition and perceived self-efficacy to predict academic performance. Journal of Applied Social Psychology, 32(8), 1687–1702. Scholar
  26. Fan, X., Luo, W., Menekse, M., Litman, D., & Wang, J. (2015). CourseMIRROR: Enhancing large classroom instructor-student interactions via mobile interfaces and natural language processing. Retrieved from
  27. Fan, X., Luo, W., Menekse, M., Litman, D., & Wang, J. (2017). Scaling reflection prompts in large classrooms via mobile interfaces and natural language processing. In Proceeding from IUI’17: The 22nd International Conference on Intelligent User Interfaces (pp. 363–374). Limassol: Cyprus. Scholar
  28. Gikas, J., & Grant, M. M. (2013). Mobile computing devices in higher education: Student perspectives on learning with cellphones, smartphones & social media. The Internet and Higher Education, 19, 18–26.CrossRefGoogle Scholar
  29. Graham, C. R. (2006). Blended learning systems. In The handbook of blended learning (pp. 3–21).Google Scholar
  30. Hackett, G., & Betz, N. E. (1989). An exploration of the mathematics self-efficacy/mathematics performance correspondence. Journal for Research in Mathematics Education, 20(3), 261–273. Scholar
  31. Hammonds, L., Matherson, L. H., Wilson, E. K., & Wright, V. H. (2013). Gateway tools: Five tools to allow teachers to overcome barriers to technology integration. Delta Kappa Gamma Bulletin, 80(1), 36–40.Google Scholar
  32. Heo, D., Anwar, S., & Menekse, M. (2018). The relationship between engineering students’ achievement goals, reflection behaviors, and learning outcomes. International Journal of Engineering Education, 34(5), 1634–1643.Google Scholar
  33. Hodges, C. B. (2008). Self-efficacy in the context of online learning environments: A review of the literature and directions for research. Performance Improvement Quarterly, 20(3/4), 7–25. Retrieved from Scholar
  34. Hodges, C. B., Stackpole-Hodges, C. L., & Cox, K. M. (2008). Self-efficacy, self-regulation, and cognitive style as predictors of achievement with podcast instruction. Journal of Educational Computing Research, 38(2), 139–153. Scholar
  35. Hwang, G.-J., & Chang, H.-F. (2011). A formative assessment-based mobile learning approach to improving the learning attitudes and achievements of students. Computers & Education, 56(4), 1023–1031.CrossRefGoogle Scholar
  36. Hwang, G.-J., & Tsai, C.-C. (2011). Research trends in mobile and ubiquitous learning: A review of publications in selected journals from 2001 to 2010. British Journal of Educational Technology, 42(4), E65–E70. Retrieved from Scholar
  37. Jex, S. M., & Bliese, P. D. (1999). Efficacy beliefs as a moderator of the impact of work-related stressors: A multilevel study. Journal of Applied Psychology, 84(3), 349–361. Retrieved from Scholar
  38. Kenny, R. F., Van Neste-Kenny, J. M. C., Burton, P. A., Park, C. L., & Qayyum, A. (2012). Using self-efficacy to assess the readiness of nursing educators and students for mobile learning. The International Review of Research in Open and Distributed Learning, 13(3), 277–296.CrossRefGoogle Scholar
  39. Kim, S. W. (2016). Design and implementation of socket-based multi-player game service for elementary mathematics learning. Journal of Service Research and Studies, 6(2), 175–184.CrossRefGoogle Scholar
  40. Klassen, R. M., Krawchuk, L. L., & Rajani, S. (2008). Academic procrastination of undergraduates: Low selfefficacy to self-regulate predicts higher levels of procrastination. Contemporary Educational Psychology, 33(4), 915–931. Scholar
  41. Klopfer, E., Sheldon, J., Perry, J., & Chen, V. H.-H. (2012). Ubiquitous games for learning (UbiqGames): Weatherlings, a worked example. Journal of Computer Assisted Learning, 28(5), 465–476. Retrieved from Scholar
  42. Kravcik, M., Kaibel, A., Specht, M., & Terrenghi, L. (2004). Mobile collector for field trips. Educational Technology & Society, 7(2), 25–33.Google Scholar
  43. Krogstie, B. R., & Krogstie, J. (2016). Considering self-efficacy in reflection. In Proceedings of ARTEL 2016.
  44. Lan, Y.-J., Sung, Y.-T., & Chang, K.-E. (2007). A mobile-device-supported peer-assisted learning system for collaborative early EFL reading. Language Learning & Technology, 11(3), 130–151.Google Scholar
  45. Lent, R. W., Brown, S. D., & Larkin, K. C. (1984). Relation of self-efficacy expectations to academic achievement and persistence. Journal of Counseling Psychology, 31(3), 356–362. Scholar
  46. Lodewyk, K. R., & Winne, P. H. (2005). Relations among the structure of learning tasks, achievement, and changes in self-efficacy in secondary students. Journal of Educational Psychology, 97(1), 3–12. Scholar
  47. Lorsbach, A., & Jinks, J. (1999). Self-efficacy theory and learning environment research. Learning Environments Research, 2(2), 157–167. Scholar
  48. Luo, W., Fan, X., Menekse, M., Wang, J., & Litman, D. J. (2015). Enhancing instructor-student and student-student interactions with mobile interfaces and summarization. In HLT-NAACL (pp. 16–20).Google Scholar
  49. Marsh, H. W., Walker, R., & Debus, R. (1991). Subject-specific components of academic self-concept and selfefficacy. Contemporary Educational Psychology, 16(4), 331–345. Scholar
  50. Mclaughlin, H. J. (1991). The reflection on the blackboard: Student teacher self-evaluation. Internation Journal of Qualitative Studies in Education, 4(2), 141–159.CrossRefGoogle Scholar
  51. Meece, J. L., Wigfield, A., & Eccles, J. S. (1990). Predictors of math anxiety and its influence on young adolescents’ course enrollment intentions and performance in mathematics. Journal of Educational Psychology, 82(1), 60–70. Scholar
  52. Meluso, A., Zheng, M., Spires, H. A., & Lester, J. (2012). Enhancing 5th graders’ science content knowledge and self-efficacy through game-based learning. Computers & Education, 59(2), 497–504. Retrieved from Scholar
  53. Menekse, M., Stump, G., Krause, S. J., & Chi, M. T. (2011, June). The effectiveness of students’ daily reflections on learning in an engineering context. Paper presented at 2011 ASEE Annual Conference & Exposition, Vancouver, BC.
  54. Moradkhani, S., Raygan, A., & Moein, M. S. (2017). Iranian EFL teachers& reflective practices and self-efficacy: Exploring possible relationships. System, 65, 1–14. Retrieved from Scholar
  55. Multon, K. D., Brown, S. D., & Lent, R. W. (1991). Relation of self-efficacy beliefs to academic outcomes: A meta-analytic investigation. Journal of Counseling Psychology, 38(1), 30–38. Retrieved from Scholar
  56. Munday, P. (2016). The case for using DUOLINGO as part of the language classroom experience. RIED: Revista Iberoamericana de Educación a Distancia, 19(1), 83–101.Google Scholar
  57. O’Brien, C., & Aguinaga, N. (2014). Using class dojo with an interactive whiteboard and ipad projection to promote positive behavioral interventions and supports at the classroom level. In Proceedings of Society for Information Technology & Teacher Education International Conference (pp. 2931–2933).Google Scholar
  58. Pajares, F. (1996). Self-efficacy beliefs in academic settings. Review of Educational Research, 66(4), 543–578.CrossRefGoogle Scholar
  59. Pajares, F., & Schunk, D. H. (2001). Self-beliefs and school success: Self-efficacy, self-concept, and school achievement.Google Scholar
  60. Pajares, F., & Zeldin, A. L. (1999). Inviting self-efficacy revisited: The role of invitations in the lives of women with mathematics-related careers. Journal of Invitational Theory and Practice, 6(1), 48–68.Google Scholar
  61. Park, S. Y., Nam, M., & Cha, S. (2012). University students’ behavioral intention to use mobile learning: Evaluating the technology acceptance model. British Journal of Educational Technology, 43(4), 592–605.CrossRefGoogle Scholar
  62. Phan, H. (2007). An examination of reflective thinking, learning approaches, and self-efficacy beliefs at the university of the south pacific: A path analysis approach. Educational Psychology, 27(6), 789–806. Retrieved from Scholar
  63. Phan, H. P. (2014). Self-efficacy, reflection, and achievement: A short-term longitudinal examination. Journal of Educational Research, 107(2), 90–102. Retrieved from Scholar
  64. Pintrich, P. R., Smith, D. A., Garcia, T., & McKeachie, W. J. (1991). A manual for the use of the motivated strategies for learning questionnaire (MSLQ). Retrieved from
  65. Purzer, S. (2011). The relationship between team discourse, self-efficacy, and individual achievement: A sequential mixed-methods study. Journal of Engineering Education, 100(4), 655–680.CrossRefGoogle Scholar
  66. Rodríguez, A. I., Riaza, B. G., & Gómez, M. C. S. (2017). Collaborative learning and mobile devices: An educational experience in primary education. Computers in Human Behavior, 72, 664–677.CrossRefGoogle Scholar
  67. Roschelle, J. (2003). Keynote paper: Unlocking the learning value of wireless mobile devices. Journal of Computer Assisted Learning, 19(3), 260–272.CrossRefGoogle Scholar
  68. Roschelle, J., Rafanan, K., Bhanot, R., Estrella, G., Penuel, B., Nussbaum, M., et al. (2010). Scaffolding group explanation and feedback with handheld technology: Impact on students’ mathematics learning. Educational Technology Research and Development, 58(4), 399–419. Retrieved from Scholar
  69. Schepman, A., Rodway, P., Beattie, C., & Lambert, J. (2012). An observational study of undergraduate students’ adoption of (mobile) note-taking software. Computers in Human Behavior, 28(2), 308–317.CrossRefGoogle Scholar
  70. Schön, D. A. (1983). The reflective practitioner: How professionals think in action. New York: Basic Books.Google Scholar
  71. Schunk, D. H. (1985). Self-efficacy and classroom learning. Psychology in the Schools, 22(2), 208–223. Retrieved from<208::AID-PITS2310220215>3.0.CO;2-7CrossRefGoogle Scholar
  72. Schunk, D. H. (1996). Self-efficacy for learning and performance. In Paper presented at Annual meeting of the American Educational Reearch Association, New York.Google Scholar
  73. Schunk, D. H., Hanson, A. R., & Cox, P. D. (1987). Peer-model attributes and children’s achievement behaviors. Journal of Educational Psychology, 79, 54–61.CrossRefGoogle Scholar
  74. Schunk, D. H., & Swartz, C. W. (1993). Goals and progress feedback: Effects on self-efficacy and writing achievement. Contemporary Educational Psychology, 18(3), 337–354.CrossRefGoogle Scholar
  75. Sha, L., Looi, C.-K., Chen, W., Seow, P., & Wong, L.-H. (2012). Recognizing and measuring self-regulated learning in a mobile learning environment. Computers in Human Behavior, 28(2), 718–728.CrossRefGoogle Scholar
  76. Shank, D. B., & Cotten, S. R. (2014). Does technology empower urban youth? The relationship of technology use to self-efficacy. Computers & Education, 70, 184–193. Retrieved from Scholar
  77. Sharples, M. (2006). Big issues in mobile learning. Retrieved from
  78. Sharples, M., Arnedillo-Sánchez, I., Milrad, M., & Vavoula, G. (2009). Mobile learning. In Technology-Enhanced Learning (pp. 233–249). Springer.Google Scholar
  79. Shell, D. F., Colvin, C., & Bruning, R. H. (1995). Self-efficacy, attribution, and outcome expectancy mechanisms in reading and writing achievement: Grade-level and achievement-level differences. Journal of Educational Psychology, 87(3), 386–398. Scholar
  80. Spicer, J. I., & Stratford, J. (2001). Student perceptions of a virtual field trip to replace a real field trip. Journal of Computer Assisted Learning, 17(4), 345–354.CrossRefGoogle Scholar
  81. Streveler, R. A., & Menekse, M. (2017). Taking a closer look at active learning. Journal of Engineering Education, 106(2), 186–190.CrossRefGoogle Scholar
  82. Suk Hwang, Y., & Vrongistinos, K. (2012). Using blackboard and skype for mentoring beginning teachers. American Journal of Distance Education, 26(3), 172–179.CrossRefGoogle Scholar
  83. Sung, H.-Y., Hwang, G.-J., Liu, S.-Y., & Chiu, I. (2014). A prompt-based annotation approach to conducting mobile learning activities for architecture design courses. Computers & Education, 76, 80–90.CrossRefGoogle Scholar
  84. Sung, Y.-T., Chang, K.-E., & Liu, T.-C. (2016). The effects of integrating mobile devices with teaching and learning on students’ learning performance: A meta-analysis and research synthesis. Computers & Education, 94, 252–275. Retrieved from Scholar
  85. Tang, H., Zhou, W., & Chen, F. (2015). A game-based curriculum and learning management mobile application for college students. In 10th International Conference on Computer Science & Education (ICCSE). Retrieved from
  86. van Seggelen-Damen, I., & van Dam, K. (2016). Self-reflection as a mediator between self-efficacy and Well-being. Journal of Managerial Psychology, 31(1), 18–33. Retrieved from Scholar
  87. Verbert, K., Duval, E., Klerkx, J., Govaerts, S., & Santos, J. L. (2013). Learning analytics dashboard applications. American Behavioral Scientist, 57(10), 1500–1509.CrossRefGoogle Scholar
  88. von Ahn, L. (2013). Duolingo: Learn a language for free while helping to translate the web. In Proceedings of the 2013 International Conference on Intelligent User Interfaces (pp. 1–2). ACM.Google Scholar
  89. Webel, C., & Otten, S. (2015). Teaching in a world with photomath. Mathematics Teacher, 109(5), 368–373.CrossRefGoogle Scholar
  90. Wong, L.-H., & Looi, C.-K. (2011). What seams do we remove in mobile-assisted seamless learning? A critical review of the literature. Computers & Education, 57(4), 2364–2381. Retrieved from Scholar
  91. Wopereis, I. G. J. H., Sloep, P. B., & Poortman, S. H. (2010). Weblogs as instruments for reflection on action in teacher education. Interactive Learning Environments, 18(3), 245–261.CrossRefGoogle Scholar
  92. Yang, S. (2012). Exploring college students’ attitudes and self-efficacy of mobile learning. Turkish Online Journal of Educational Technology – TOJET, 11(4), 148–154.Google Scholar
  93. Yasar, S., Baker, D., Krause, S., & Roberts, C. (2007). In her shoes: How team interactions affect engineering self efficacy. In ASEE Conferences, Honolulu, Hawaii. Retrieved from
  94. Yost, D. S. (2006). Reflection and self-efficacy: Enhancing the retention of qualified teachers from a teacher education perspective. Teacher Education Quarterly, 33(4), 59–76.Google Scholar
  95. Zeldin, A. L., & Pajares, F. (2000). Against the odds: Self-efficacy beliefs of women in mathematical, scientific, and technological careers. American Educational Research Journal, 37(1), 215–246.CrossRefGoogle Scholar
  96. Zimmerman, B. J. (2000). Self-efficacy: An essential motive to learn. Contemporary Educational Psychology, 25(1), 82–91. Retrieved from Scholar
  97. Zurita, G., & Nussbaum, M. (2004). A constructivist mobile learning environment supported by a wireless handheld network. Journal of Computer Assisted Learning, 20(4), 235–224.CrossRefGoogle Scholar

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Authors and Affiliations

  1. 1.School of Engineering Education, College of EngineeringPurdue UniversityWest LafayetteUSA
  2. 2.Department of Curriculum and InstructionCollege of Education, Purdue UniversityWest LafayetteUSA

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