Abstract
The aim of this chapter is to examine learners’ motivation and engagement in educational settings, with a focus on educational technologies. This chapter is intended to serve a variety of audiences, including those who are interested in (a) understanding how motivation has been conceptualized and studied and/or (b) applying motivation concepts in instructional settings. The chapter begins by providing definitions of motivation and engagement, which are concepts that are commonly used in educational settings, but which are difficult to define precisely. Next, the chapter discusses factors that affect, and that are affected by, learners’ motivation and engagement. Because learners’ motivation cannot be explained fully with one theory, the chapter explains that motivation is studied using many different constructs and mini-theories. The following section presents the means through which motivation and engagement have been assessed, including self-reports, behavioral measures, ratings by others, and physiological data. Next, the chapter explains how instructors can design instruction intentionally to motivate and engage students by using strategies that empower students, help students to understand the usefulness of the content, help students to succeed, make the educational environment interesting, and show students that others in the learning environment care about them. The next section briefly examines the potential motivating effects of current technologies, and the chapter ends with an examination of the construct issues, methodological issues, and interpretation issues faced by researchers studying motivation and engagement.
Keywords
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Ainsworth, M. D. S. (1979). Infant-mother attachment. The American Psychologist, 34(10), 932–937.
Ames, C. (1992). Classrooms: Goals, structures, and student motivation. Journal of Educational Psychology, 84, 261–271.
Aronson, J., & Steele, C. M. (2005). Stereotypes and the fragility of academic competence, motivation, and self-concept. In A. J. Elliot & C. S. Dweck (Eds.), Handbook of competence and motivation (pp. 436–456). New York: Guilford.
∗Astleitner, H., & Wiesner, C. (2004). An integrated model of multimedia learning and motivation. Journal of Educational Multimedia and Hypermedia, 13(1), 3–21.
Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Englewood Cliffs, NJ: Prentice-Hall.
Bandura, A. (1997). Self-efficacy: The exercise of control. New York: Freeman.
Baumeister, R., & Leary, M. (1995). The need to belong: Desire for interpersonal attachments as a fundamental human motivation. Psychological Bulletin, 117, 497–529.
Bawa, P., Watson, S. L., & Watson, W. (2018). Motivation is a game: Massively multiplayer online games as agents of motivation in higher education. Computers & Education, 123, 174–194.
Benson, P., & Voller, P. (1997). Autonomy and independence in language learning. London: Longman.
Berlyne, D. E. (1960). Conflict, arousal, and curiosity. New York: McGraw-Hill.
Bowlby, J. (1969). Attachment (Vol. I). New York: Basic.
Bowman, N. A. (2010). Can 1st-year college students accurately report their learning and development? American Educational Research Journal, 47, 466–496.
Brophy, J. (1999). Toward a model of the value aspects of motivation in education: Developing appreciation for particular learning domains and activities. Educational Psychologist, 34(2), 75–85.
Cameron, J., & Pierce, W. D. (1994). Reinforcement, reward, and intrinsic motivation: A meta-analysis. Review of Educational Research, 64, 363–423.
Chittum, J., & Jones, B. D. (2017). Identifying pre-high school students’ science class motivation profiles to increase their science identification and persistence. Journal of Educational Psychology, 109(8), 1163–1187. https://doi.org/10.1037/edu0000176
Chittum, J. R., Jones, B. D., Akalin, S., & Schram, A. B. (2017). The effects of an afterschool STEM program on students’ motivation and engagement. International Journal of STEM Education, 4(11), 1–16. https://doi.org/10.1186/s40594-017-0065-4
∗Christenson, S. L., Reschly, A. L., & Wylie, C. (Eds.). (2012a). Handbook of research on student engagement. New York: Springer.
∗Christenson, S. L., Reschly, A. L., & Wylie, C. (2012b). Epilogue. In S. L. Christenson, A. L. Reschly, & C. Wylie (Eds.), Handbook of research on student engagement (pp. 813–817). New York: Springer.
Covington, M. V. (1992). Making the grade: A self-worth perspective on motivation and school reform. New York: Cambridge University Press.
Csikszentmihalyi, M. (1990). Flow: The psychology of optimal experience. New York: HarperPerennial.
deCharms, R. (1968). Personal causation: The internal affective determinants of behavior. New York: Academic Press.
Deci, E. L. (1975). Intrinsic motivation. New York: Plenum Press.
Deci, E. L., & Ryan, R. M. (1985). Intrinsic motivation and self-determination in human behavior. New York: Plenum.
Deci, E. L., & Ryan, R. M. (2000). The “what” and “why” of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11(4), 227–268.
Dick, W., Carey, L., & Carey, J. O. (2015). The systematic design of instruction (8th ed.). Boston: Pearson.
Duffy, E. (1957). The psychological significance of the concept of “arousal” or “activation”. The Psychological Review, 64(5), 265–275.
Dweck, C. S. (1999). Self-theories: Their role in motivation, personality, and development. Philadelphia: Psychology Press.
Dweck, C. S. (2006). Mindset: The new psychology of success. New York: Random House.
EDUCAUSE. (2008). 7 things you should know about Second Life. Retrieved from http://www.educause.edu/library/resources/7-things-you-should-know-about-second-life
Elliot, A. J., & Dweck, C. S. (2005). Competence and motivation: Competence as the core of achievement motivation. In A. J. Elliot & C. S. Dweck (Eds.), Handbook of competence and motivation (pp. 3–12). New York: Guilford.
Eseryel, D., Law, V., Ifenthaler, D., Ge, X., & Miller, R. (2014). An investigation of the interrelationships between motivation, engagement, and complex problem solving in game-based learning. Educational Technology & Society, 17(1), 42–53.
Evans, M. A., Jones, B. D., & Akalin, S. (2017). Motivating students with game design in out-of-school environments. Afterschool Matters, 26, 18–26.
Evans, M. A., Jones, B. D., & Biedler, J. (2014). Video games, motivation, and learning. In F. C. Blumberg (Ed.), Learning by playing: Video gaming in education (pp. 273–289). New York: Oxford University Press.
Fage, C., Consel, C., Etchegoyhen, K., Amestoy, A., Bouvard, M., Mazon, C., et al. (2019). An emotion regulation app for school inclusion of children with ASD: Design principles and evaluation. Computers & Education, 131, 1–21. https://doi.org/10.1016/j.compedu.2018.12.003
Finn, J. D. (1989). Withdrawing from school. Review of Educational Research, 59(2), 117–142.
Ford, M. (1992). Motivating humans: Goals, emotions, and personal agency beliefs. Newbury Park, CA: Sage.
∗Fredricks, J. A., Blumenfeld, P. C., & Paris, A. H. (2004). School engagement: Potential of the concept, state of the evidence. Review of Educational Research, 74(1), 59–109.
∗Fulmer, S. M., & Frijters, J. C. (2009). A review of self-report and alternative approaches in the measurement of student motivation. Educational Psychology Review, 21, 219–246.
∗Giannakas, F., Kambourakis, G., Papasalouros, A., & Gritzalis, S. (2018). A critical review of 13 years of mobile game-based learning. Education Technology Research and Development, 66(2), 341–384. https://doi.org/10.1007/s11423-017-9552-z.
Goodenow, C. (1993). Classroom belonging among early adolescent students: Relationship to motivation and achievement. Journal of Early Adolescence, 13(1), 21–43.
Gregori, E. B., Zhang, J., Galván-Fernández, C., & Fernández-Navarro, F. A. (2018). Learner support in MOOCs: Identifying variables linked to completion. Computers & Education, 122, 153–168. https://doi.org/10.1016/j.compedu.2018.03.014
Gronseth, S., & Hebert, W. (2019). GroupMe: Investigating use of mobile instant messaging in higher education courses. TechTrends, 63(1), 15–22. https://doi.org/10.1007/s11528-018-0361-y
Hall, S., Jones, B. D., Amelink, C., & Hu, D. (2013). Educational innovation in the design of an online nuclear engineering curriculum. The Journal of Effective Teaching, 13(2), 58–72.
Hao, S., Dennen, V., & Mei, L. (2017). Influential factors for mobile learning acceptance among Chinese users. Educational Technology Research & Development, 65(1), 101–123. https://doi.org/10.1007/s11423-016-9465-2
Harrison, D. (2009, February 18). Real-life teaching in a virtual world. Retrieved from http://campustechnology.com/Articles/2009/02/18/Real-Life-Teaching-in-a-Virtual-World.aspx?Page=2
Harter, S. (1978). Effectance motivation reconsidered: Toward a developmental model. Human Development, 21, 34–64.
Hektner, J. M., Schmidt, J. A., & Csíkszentmihalyi, M. (2007). Experience sampling method: Measuring the quality of everyday life. Thousand Oaks, CA: Sage.
∗Henrie, C. R., Halverson, L. R., & Graham, C. R. (2015). Measuring student engagement in technology-mediated learning: A review. Computers & Education, 90, 36–53.
Hew, K. F., & Cheung, W. S. (2014). Students’ and instructors’ use of massive open online courses (MOOCs): Motivations and challenges. Educational Research Review, 12, 45–58.
Hidi, S. (2016). Revisiting the role of rewards in motivation and learning: Implications of neuroscientific research. Educational Psychology Review, 28, 61–93.
Hidi, S., & Renninger, K. A. (2006). The four-phase model of interest development. Educational Psychologist, 41(2), 111–127.
Hong, J.-C., Hwang, M.-Y., Tai, K.-H., & Lin, P.-C. (2015). Self-efficacy relevant to competitive anxiety and gameplay interest in the one-on-one competition setting. Educational Technology Research and Development, 63(5), 791. https://doi.org/10.1007/s11423-015-9389-2
Hughes, J. N., Luo, W., Kwok, O.-M., & Loyd, L. K. (2008). Teacher-student support, effortful engagement, and achievement: A 3-year longitudinal study. Journal of Educational Psychology, 100(1), 1–14. https://doi.org/10.1037/0022-0663.100.1.1
∗Hunsu, N. J., Adesope, O., & Bayly, D. J. (2016). A meta-analysis of the effects of audience response systems (clicker-based technologies) on cognition and affect. Computers & Education, 94, 102–119. https://doi.org/10.1016/j.compedu.2015.11.013.
James, W. (1890/1981). The principles of psychology. Cambridge, MA: Harvard University Press.
Johnson, D. W., Johnson, R., & Anderson, A. (1983). Social interdependence and classroom climate. Journal of Psychology, 114(1), 135–142.
∗Jones, B. D. (2009). Motivating students to engage in learning: The MUSIC Model of Academic Motivation. International Journal of Teaching and Learning in Higher Education, 21(2), 272–285.
Jones, B. D. (2010). An examination of motivation model components in face-to-face and online instruction. Electronic Journal of Research in Educational Psychology, 8(3), 915–944.
Jones, B. D. (2012). User guide for assessing the components of the MUSIC® Model of Motivation. Retrieved from http://www.theMUSICmodel.com
Jones, B. D. (2016). Teaching motivation strategies using the MUSIC® Model of Motivation as a conceptual framework. In M. C. Smith & N. DeFrates-Densch (Eds.), Challenges and innovations in educational psychology teaching and learning (pp. 123–136). Charlotte, NC: Information Age Publishing.
∗Jones, B. D. (2018). Motivating students by design: Practical strategies for professors (2nd ed.). Charleston, SC: CreateSpace..
Jones, B. D., Chittum, J. R., Akalin, S., Schram, A. B., Fink, J., Schnittka, C., et al. (2015). Elements of design-based science activities that affect students’ motivation. School Science and Mathematics, 115(8), 404–415. https://doi.org/10.1111/ssm.12143
Jones, B. D., Epler, C. M., Mokri, P., Bryant, L. H., & Paretti, M. C. (2013). The effects of a collaborative problem-based learning experience on students’ motivation in engineering capstone courses. Interdisciplinary Journal of Problem-based Learning, 7(2). https://doi.org/10.7771/1541-5015.1344
Jones, B. D., Li, M., & Cruz, J. M. (2017). A cross-cultural validation of the MUSIC® Model of Academic Motivation Inventory: Evidence from Chinese- and Spanish-speaking university students. International Journal of Educational Psychology, 6(1), 366–385. https://doi.org/10.17583/ijep.2017.2357
Jones, B. D., Sahbaz, S., Schram, A. B., & Chittum, J. R. (2017). Using psychological constructs from the MUSIC Model of Motivation to predict students’ science identification and career goals: Results from the U.S. and Iceland. International Journal of Science Education, 39(8), 1089–1108. https://doi.org/10.1080/09500693.2017.1319093
Jones, B. D., & Sigmon, M. L. (2016). Validation evidence for the elementary school version of the MUSIC® Model of Academic Motivation Inventory. Electronic Journal of Research in Educational Psychology, 14(1), 155–174. Retrieved from. https://doi.org/10.14204/ejrep.38.15081
Jones, B. D., & Skaggs, G. E. (2016). Measuring students’ motivation: Validity evidence for the MUSIC Model of Academic Motivation Inventory. International Journal for the Scholarship of Teaching and Learning, 10(1). Retrieved from http://digitalcommons.georgiasouthern.edu/ij-sotl/vol10/iss1/7
Jones, B. D., Tendhar, C., & Paretti, M. C. (2016). The effects of students’ course perceptions on their domain identification, motivational beliefs, and goals. Journal of Career Development, 43(5), 383–397. https://doi.org/10.1177/0894845315603821
Jones, B. D., Watson, J. M., Rakes, L., & Akalin, S. (2013). Factors that impact students’ motivation in an online course: Using the MUSIC Model of Academic Motivation. Journal of Teaching and Learning with Technology, 1(1), 42–58.
Jones, B. D., & Wilkins, J. L. M. (2013). Testing the MUSIC Model of Academic Motivation through confirmatory factor analysis. Educational Psychology: An International Journal of Experimental Educational Psychology, 33(4), 482–503. https://doi.org/10.1080/01443410.2013.785044
Jung, Y., & Lee, J. (2018). Learning engagement and persistence in Massive Open Online Courses (MOOCS). Computers & Education, 122, 9–22. https://doi.org/10.1016/j.compedu.2018.02.013
Junco, R., Heiberger, G., & Loken, E. (2011). The effect of Twitter on college student engagement and grades. Journal of Computer Assisted Learning, 27, 119–132. https://doi.org/10.1111/j.1365-2729.2010.00387.x
Keller, J. M. (1979). Motivation and instructional design: A theoretical perspective. Journal of Instructional Development, 2(4), 26–34.
Keller, J. M. (1983). Motivational design of instruction. In C. M. Reigeluth (Ed.), Instructional design theories and models: An overview of their current status. Hillsdale, NJ: Lawrence Erlbaum Associates.
∗Keller, J. M. (2008). An integrative theory of motivation, volition, and performance. Technology, Instruction, Cognition, and Learning, 6, 79–104.
Kim, C., & Pekrun, R. (2014). Emotions and motivation in learning and performance. In J. M. Spector, M. D. Merrill, J. Elen, & M. J. Bishop (Eds.), Handbook of research on educational communications and technology (4th ed., pp. 65–75). New York: Springer.
∗Kim, S., Reeve, J., & Bong, M. (2017). Introduction to motivational neuroscience. In S. Kim, J. Reeve, & M. Bong (Eds.), Recent developments in neuroscience research on human motivation (Advances in motivation and achievement) (Vol. 19, pp. 1–19). United Kingdom: Emerald.
Krapp, A. (2005). Basic needs and the development of interest and intrinsic motivational orientations. Learning and Instruction, 15, 381–395.
∗Krull, G., & Duart, J. M. (2017). Research trends in mobile learning in higher education: A systematic review of articles (2011–2015). International Review of Research in Open and Distributed Learning, 18(7). https://doi.org/10.19173/irrodl.v18i7.2893.
Ladd, G. W., & Dinella, L. M. (2009). Continuity and change in early school engagement: Predictive of children’s achievement trajectories from first to eighth grade? Journal of Educational Psychology, 101(1), 190–206. https://doi.org/10.1037/a0013153
Lan, Y.-J. (2018). Technology enhanced learner ownership and learner autonomy through creation. Educational Technology Research and Development, 66(4), 859–862.
Lee, W. C., Kajfez, R. L., & Matusovich, H. M. (2013). Motivating engineering students: Evaluating an engineering student support center with the MUSIC model of academic motivation. Journal of Women and Minorities in Science and Engineering, 19(3), 245–271.
Lewin, K. (1942). Time perspective and morale. In G. Watson (Ed.), Civilian morale (pp. 48–70). New York: Reynal & Hitchcock.
Li, K., & Keller, J. M. (2018). Use of the ARCS model in education: A literature review. Computers & Education, 122, 54–62. https://doi.org/10.1016/j.compedu.2018.03.019
Lin, L., & Parsons, T. D. (2018). Ecologically valid assessments of attention and learning engagement in media multitaskers. TechTrends, 62(5), 518–524. https://doi.org/10.1007/s11528-018-0311-8
Locke, E. A., & Latham, G. P. (2002). Building a practically useful theory of goal setting and task motivation: A 35-year odyssey. American Psychologist, 57, 705–717.
Maehr, M. L., & Midgley, C. (1991). Enhancing student motivation: A schoolwide approach. Educational Psychologist, 26, 399–427.
Makransky, G., & Lilleholt, L. (2018). A structural equation modeling investigation of the emotional value of immersive virtual reality in education. Education Technology Research and Development, 66(5), 1141–1164. https://doi.org/10.1007/s11423-018-9581-2
∗Manca, S., & Ranieri, M. (2013). Is it a tool suitable for learning? A critical review of the literature on Facebook as a technology-enhanced learning environment. Journal of Computer Assisted Learning, 29, 487–504.
Marsh, H. W. (1990). A multidimensional, hierarchical self-concept: Theoretical and empirical justification. Educational Psychology Review, 2, 77–172.
Martin, A. J., Anderson, J., Bobis, J., Way, J., & Vellar, R. (2012). Switching on and switching off in mathematics: An ecological student of future intent and disengagement amongst middle school students. Journal of Educational Psychology, 104(1), 1–18. https://doi.org/10.1037/a0025988
Martin, J. M., & Morris, S. L. (2017). Teaching composition together: Democracy, perceptions, and new literacies. International Journal for Scholarship of Technology Enhanced Learning, 1(2). Retrieved from http://ejournals.library.gatech.edu/ijsotel/index.php/ijsotel/article/view/25
Mavridis, A., Katmada, A., & Tsiatsos, T. (2017). Impact of online flexible games on students’ attitude towards mathematics. Educational Technology Research & Development, 65(6), 1451–1470. https://doi.org/10.1007/s11423-017-9522-5
McGinley, J., & Jones, B. D. (2014). A brief instructional intervention to increase students’ motivation on the first day of class. Teaching of Psychology, 41(2), 158–162. https://doi.org/10.1177/0098628314530350
Miller, M. D., Linn, R. L., & Gronlund, N. (2013). Measurement and assessment in teaching (11th ed.). Columbus, OH: Pearson.
Molinillo, S., Aguilar-Illescas, R., Anaya-Sánchez, R., & Vallespín-Arán, M. (2018). Exploring the impacts of interactions, social presence and emotional engagement on active collaborative learning in a social web-based environment. Computers & Education, 123, 41–52.
Moorthy, K., T’ing, L. C., Wei, K. M., Mei, P. T. Z., Yee, C. Y., Wern, K. L. J., et al. (2019). Is facebook useful for learning? A study in private universities in Malaysia. Computers & Education, 130, 94–104. https://doi.org/10.1016/j.compedu.2018.12.002
Mora, C. E., Anorbe-Diaz, B., Gonzalez-Marrero, A. M., Martin-Gutierrez, J., & Jones, B. D. (2017). Motivational factors to consider when introducing problem-based learning in engineering education courses. International Journal of Engineering Education, 33(3), 1000–1017.
Nicholls, J. G. (1984). Achievement motivation: Conceptions of ability, subjective experience, task choice, and performance. Psychological Review, 91, 328–346.
Noddings, N. (1992). The challenge to care in schools: An alternative approach to education. New York: Teachers College Press.
Nuttin, J., & Lens, W. (1985). Future time perspective and motivation: Theory and research method. Leuven, Belgium: Leuven University Press.
∗Osborne, J. W., & Jones, B. D. (2011). Identification with academics and motivation to achieve in school: How the structure of the self influences academic outcomes. Educational Psychology Review, 23(1), 131–158.
Pace, A. C., Ham, A.-J. L., Poole, T. M., & Wahaib, K. L. (2016). Validation of the MUSIC® Model of Academic Motivation Inventory for use with student pharmacists. Currents in Pharmacy Teaching & Learning, 8, 589–597. https://doi.org/10.1016/j.cptl.2016.06.001
Pajares, F. (1996). Self-efficacy beliefs in academic settings. Review of Educational Research, 66(4), 543–578.
Park, S., & Kim, C. (2016). The effects of a virtual tutee system on academic reading engagement in a college classroom. Educational Technology Research & Development., 64(2), 195–218. https://doi.org/10.1007/s11423-015-9416-3
Parkes, K., Jones, B. D., & Wilkins, J. (2017). Assessing music students’ motivation using the MUSIC Model of Academic Motivation Inventory. UPDATE: Applications of Research in Music Education, 35(3), 16–22. https://doi.org/10.1177/8755123315620835
Parsons, T. D., & Barnett, M. (2017). Validity of a newly developed measure of memory: Feasibility study of the virtual environment grocery store. Journal of Alzheimer’s Disease, 59(4), 1227–1235. https://doi.org/10.3233/JAD-170295
Pekrun, R. (2009). Emotions at school. In K. R. Wentzel & A. Wigfield (Eds.), Handbook of motivation at school (pp. 575–604). New York: Routledge.
Pintrich, P. R., & de Groot, E. V. (1990). Motivational and self-regulated learning components of classroom academic performance. Journal of Educational Psychology, 82, 32–40.
∗Reeve, J. (2005). Understanding motivation and emotion (4th ed.). Hoboken, NJ: Wiley.
Reeve, J. (2013). How students create motivationally supportive learning environments for themselves: The concept of agentic engagement. Journal of Educational Psychology, 105, 579–595.
Reeve, J., & Jang, H. (2006). What teachers say and do to support students’ autonomy during a learning activity. Journal of Educational Psychology, 98(1), 209–218.
Remijan, K. W. (2017). Project-based learning and design-focused projects to motivate secondary mathematics students. Interdisciplinary Journal of Problem-Based Learning, 11(1).
Reschly, A. L., Huebner, E. S., Appleton, J. J., & Antaramian, S. (2008). Engagement as flourishing: The contribution of positive emotions and coping to adolescents’ engagement at school and with learning. Psychology in the Schools, 45, 419–431.
Robinson, K. A., Ranellucci, J., Lee, Y.-K., Wormington, S. V., Roseth, C. J., & Linnenbrink-Garcia, L. (2017). Affective profiles and academic success in a college science course. Contemporary Educational Psychology, 51, 209–221.
Rosenberg, M. (1979). Conceiving the self. New York: Basic Books.
Schnittka, C. G., Brandt, C. B., Jones, B. D., & Evans, M. A. (2012). Informal engineering education after school: Employing the studio model for motivation and identification in STEM domains. Advances in Engineering Education, 3(2), 1–31.
Schram, A. B., & Jones, B. D. (2016). A cross-cultural adaptation and validation of the Icelandic version of the MUSIC Model of Academic Motivation Inventory. Icelandic Journal of Education, 25(2), 159–181.
Schraw, G., & Lehman, S. (2001). Situational interest: A review of the literature and directions for future research. Educational Psychology Review, 13(1), 23–52.
Schunk, D. H. (2000). Coming to terms with motivation constructs. Contemporary Educational Psychology, 25, 116–119.
Schunk, D. H., Meece, J. L., & Pintrich, P. R. (2014). Motivation in education: Theory, research, and applications. Columbus, OH: Pearson.
Shavelson, R., & Bolus, R. (1982). Self concept: The interplay of theory and methods. Journal of Educational Psychology, 74, 3–17.
Shea, P., Pickett, A. M., & Pelz, W. E. (2003). A follow-up investigation of teaching presence in the SUNY Networks. Journal of Asynchronous Learning Networks, 7(2), 61–80.
Sinatra, G. M., Heddy, B. C., & Lombardi, D. (2015). The challenges of defining and measuring student engagement in science. Educational Psychologist, 50(1), 1–13. https://doi.org/10.1080/00461520.2014.1002924
Skinner, B. F., & Epstein, R. (1982). Skinner for the classroom. Champaign, IL: Research Press.
Skinner, E. A., & Belmont, M. J. (1993). Motivation in the classroom: Reciprocal effects of teacher behavior and student engagement across the school year. Journal of Educational Psychology, 85, 571–581.
∗Skinner, E. A., Kindermann, T. A., & Furrer, C. J. (2009). A motivational perspective on engagement and disaffection: Conceptualization and assessment of children’s behavioral and emotional participation in academic activities in the classroom. Educational and Psychological Measurement, 69(3), 493–525. https://doi.org/10.1177/0013164408323233.
∗Skinner, E. A., & Pitzer, J. R. (2012). Developmental dynamics of student engagement, coping, and everyday resilience. In S. L. Christenson, A. L. Reschly, & C. Wylie (Eds.), Handbook of research on student engagement (pp. 21–44). New York: Springer.
Sottilare, R. A. (2018). A comprehensive review of design goals and emerging solutions for adaptive instructional systems. Technology, Instruction, Cognition and Learning, 11(1), 5–38.
Streiner, S. C., & Bodnar, C. A. (2019). Building a local curricular diffusion model based on a gamified homework platform in first year engineering: A case study. Advances in Engineering Education, 7(3), 1–28.
Tu, H.-W., & Jones, B. D. (2017). Redesigning a neuroscience laboratory course for multiple sections: An action research project to engage students. The Journal of Undergraduate Neuroscience Education, 15(2), A137–A143.
van der Meij, H., van der Meij, J., & Harmsen, R. (2015). Animated pedagogical agents effects on enhancing student motivation and learning in a science inquiry learning environment. Educational Technology Research & Development, 63(3), 381–403. https://doi.org/10.1007/s11423-015-9378-5
van der Meij, H., van der Meij, J., Voerman, T., & Duipmans, E. (2018). Supporting motivation, task performance and retention in video tutorials for software training. Educational Technology Research & Development, 66(3), 597–614. https://doi.org/10.1007/s11423-017-9560-z
van Roy, R., & Zaman, B. (2018). Need-supporting gamification in education: An assessment of motivation effects over time. Computers & Education, 127, 283–297. https://doi.org/10.1016/j.compedu.2018.08.018
Voelkl, K. E. (1997). Identification with school. American Journal of Education, 105, 294–318.
Weiner, B. (2000). Intrapersonal and interpersonal theories of motivation from an attributional perspective. Educational Psychology Review, 12(1), 1–14.
Wentzel, K. (1999). Social-motivational processes and interpersonal relationships: Implications for understanding students’ academic success. Journal of Educational Psychology, 91, 76–97.
White, R. W. (1959). Motivation reconsidered: The concept of competence. Psychological Review, 66(5), 297–333.
Wigfield, A., & Eccles, J. S. (2000). Expectancy-value theory of achievement motivation. Contemporary Educational Psychology, 25, 68–81.
Williams, K. M., Stafford, R. E., Corliss, S. B., & Reilly, E. D. (2018). Examining student characteristics, goals, and engagement in massive open online courses. Computers & Education, 126, 433–442. https://doi.org/10.1016/j.compedu.2018.08.014
Xie, K., Heddy, B. C., & Greene, B. A. (2019). Affordances of using mobile technology to support experience-sampling method in examining college students’ engagement. Computers & Education, 128, 183–198. https://doi.org/10.1016/j.compedu.2018.09.020
Xu, J., Du, J., & Fan, X. (2014). Emotion management in online groupwork reported by Chinese students. Educational Technology Research and Development, 62(6), 795–819.
Yang, M., Shao, Z., Liu, Q., & Liu, C. (2017). Understanding the quality factors that influence the continuance intention of students toward participation in MOOCS. Educational Technology Research & Development, 65(5), 1195–1214. https://doi.org/10.1007/s11423-017-9513-6
Yeh, Y.-L., & Lan, Y.-J. (2018). Fostering student autonomy in English learning through creations in a 3D virtual world. Education Technology Research and Development, 66, (3), 693–708. https://doi.org/10.1007/s11423-017-9566-6
Yuan, J., & Kim, C. M. (2018). The effects of autonomy support on student engagement in peer assessment. Educational Technology Research & Development, 66, (1), 25–52.
Zhou, M. (2013). “I am really good at it” or “I am just feeling lucky”: The effects of emotions on information problem-solving. Educational Technology Research and Development, 61(3), 505–520. https://doi.org/10.1007/s11423-013-9300-y
Zhou, N., & Yadav, A. (2017). Effects of multimedia story reading and questioning on preschoolers’ vocabulary learning, story comprehension and reading engagement. Educational Technology Research and Development, 65(6), 1523–1545. https://doi.org/10.1007/s11423-017-9533-2
Zimmerman, B. J. (2000). 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 Press.
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Jones, B.D. (2020). Motivating and Engaging Students Using Educational Technologies. In: Bishop, M.J., Boling, E., Elen, J., Svihla, V. (eds) Handbook of Research in Educational Communications and Technology. Springer, Cham. https://doi.org/10.1007/978-3-030-36119-8_2
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