
Motivation2Learn LAB
We focus on three central issues:
1. How students get interested at school.
2. How students' motivation and beliefs for learning can be sustainably supported.
3. Clarifying the strengths and weaknesses of educational technology.
photo of a picture from:
David Wiesner (June 29, 1999)
Core Research Projects
AIMS:
Make interest research of greater practical use to educators by modelling the interconnections between specific classroom experiences and the development of students' personal interest in educational domains of learning.
Key Project Outputs: --->Click each reference for direct download
and their interest in a course: Isn’t interest what university is all about? Learning and Individual Differences. 50, 57-165.https://doi.org/10.1016/j.lindif.2016.08.011
value, and competence beliefs. Learning and Instruction. 60, 252-262. https://doi.org/10.1016/j.learninstruc.2017.11.002
Computers in Human Behaviour. 93,279-289. doi: https://doi.org/10.1016/j.chb.2018.12.023
self-efficacy with interesting tasks and a lasting desire to reengage. Learning and Instruction. https://doi.org/10.1016/j.learninstruc.2021.101493
Both baseline and growth rate are important for interest outcomes. British Journal of Educational Psychology e12473. https://doi.org/10.1111/bjep.12473
experimental proof of concept. System. https://doi.org/10.1016/j.system.2023.103162
10. Fryer, L. K., *Shum. A., *Bovee, H. N., Nakao, K., & Ozono, S. ( 2024). The short and long(er)-term dividends of self-efficacy’s latent
growth rate:Attendance, knowledge gain, and domain interest outcomes across two academic years. Educational Psychology. https://doi.org/10.1080/01443410.2024.2387549
11. Guo, Z. & Fryer, L. K. (2024). What really elicits learners’ situational interest in the learning activities: A scoping review of the most
frequently addressed situational interest sources among existing empirical studies in educational settings. Current Psychology. https://doi.org/10.1007/s12144-024-07176-x
.
12. Fryer, L. K. & *Shum, A. (2024). Math task experiences and motivation to learn more: how prior knowledge, interest and self-
efficacy with task-interest & task-difficulty together feed a desire to reengage with learning. British Journal of Educational Research. https://doi.org/10.1002/berj.4057
13. Fryer, L. K., *Shum, A., King, R., & Lau, P. (2025). How does interest in a course interact with course learning? Learning and Instruction.
https://doi.org/10.1016/j.learninstruc.2025.102106
14. *Guo, Z., & Fryer, L. K. (2025). Personal relevance and interest: Exploring the relationships among three types of perceived personal
relevance and middle school students’ interest in a math lesson. Learning and Individual Differences. https://doi.org/10.1016/j.lindif.2025.102733
15. *Guo, Z & Fryer, L. K. (2025). The development and validation of three types of personal relevance measure. Journal of Experimental
Education. https://doi.org/10.1080/00220973.2025.2476643
16. Shum A., & Fryer, L. K. (2026). Examining short-term self-efficacy change connections with performance, perceived difficulty, and
interest. Learning & Instruction. https://doi.org/10.1016/j.learninstruc.2025.102223
1. Understanding and Supporting the Development of Interest in Classrooms
2. Learning Strategies Development
AIMS:
Expand current conceptions of students' learning strategies through novel research design/analyses and by integrating longstanding, overlapping models.
Key Project Outputs: --->Click each reference for direct download
1. Fryer, L. K. (2017). Building bridges: Seeking structure and direction for motivated learning strategy models. Educational
Psychology Review. 29, 325-344. https://doi.org/10.1007/s10648-017-9405-7
students. Higher Education. 73, 519-537. https://doi.org/10.1007/s10734-016-0094-9
university. British Journal of Educational Psychology. 88, 21-41. https://doi.org/10.1111/bjep.12169
examination of teaching-learning connections. Educational Psychology. 8.1032-1049. https://doi.org/10.1080/01443410.2017.1403568.
Education Policy. Policy Insights from Behavioral and Brain Science. https://doi.org/10.1177/2372732219860862
measurement, and analysis. New York: Routledge.
Oxford Bibliographies in Education. Ed. Anne Hynds. New York: Oxford University Press. https://doi.org/10.1093/OBO/9780199756810-0246
Education Research and Development. https://doi.org/10.1080/07294360.2021.1985088
characteristics that are useful. Theory Into Practice. https://doi.org/10.1080/00405841.2022.2107333
processing and learning. Educational Psychology Review. 35 (66).https://doi.org/10.1007/s10648-023-09789-3
and Person-centred meta-re-analyses of university students' learning strategies from a cross-cultural perspective. Higher Education. https://doi.org/10.1007/s10734-023-01062-4
https://doi.org/10.1007/s10648-023-09755-z
13. Dinsmore, D. & Fryer, L. K. (2026). What does current GenAI actually mean for student learning? Learning and Individual
Differences. https://doi.org/10.1016/j.lindif.2025.102834
3. Learning with Bots
AIMS:
Explore the growing (endless) potential of AI (bots) as learning partners for formal education.
Key Project Outputs: --->Click each reference for direct download
1. Fryer, L. K., & Carpenter, R. (2006). Bots as language learning tools. Language Learning and Technology, 10, 8-14. Permanent
Online Location: llt.msu.edu/vol10num3/emerging/
course: An experimental comparison of Chatbot and Human task partners. Computers in Human Behavior, 75, 461-468. https://doi.org/10.1016/j.chb.2017.05.045
competence. Computers in Human Behaviour. 93,279-289. https://doi.org/10.1016/j.chb.2018.12.023
educational inputs and outcomes: Framing AI and Human partnered task experience. Learning and Individual Differences. https://doi.org/10.1016/j.lindif.2020.101850
Technology. 24(3). 8–22. Retrieved from http://hdl.handle.net/10125/44719
chatbot-supported language learning. Journal of Computer Assisted Learning. http://doi.org/10.1111/jcal.12610
7. Fryer, L. K. (2025). A psychological platform for GenAI and human co-piloting in education. Frontline Learning Research.
https://doi.org/10.14786/flr.v13i1.1523
8. #Huang, W., #Jiang, J., King, R. B., & Fryer, L. K. (2025). Chatbots and student motivation: A scoping review. International
Journal of Educational Technology in Higher Education, 22(1), 26. https://doi.org/10.1186/s41239-025-00524-2
9. Theoni, D. & Fryer, L. K. (preprints, April 2025). AI Tutors in Higher Education: Comparing Expectations to Evidence.
Preprinted: Download
10. Fryer, L. K., & Thoeni, A. (2025). GenAI tutors in higher education: Testing support for student learning. Open Science
Framework. https://doi.org/10.31219/osf.io/spw9h_v1
11. Dinsmore, D. & Fryer, L. K. (2026). What does current GenAI actually mean for student learning? Learning and Individual
Differences. https://doi.org/10.1016/j.lindif.2025.102834
4. Mobile Assessment for Learning
AIMS:
Support classroom learning (K-Tertiary) mobile formative assessment tools
Key Project Outputs:
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*Liang, L. Oga-Baldwin, W. L., Nakao, K., *Shum. A. & Fryer, L. K. (2024). Transitioning from Paper to
Touch interface:Phoneme-Grapheme Recognition Testing and Gamification in Primary school classrooms. Technology in Language Teaching & Learning. https://doi.org/10.29140/tltl.v6n2.1067
2. Nakao, K., Oga-Baldwin, W. L., & Fryer, L. K. (2024). Developing phoneme-grapheme recognition in English as a foreign
language: A longitudinal study at Japanese primary school. International Electronic Journal of Elementary School Education. https://doi.org/10.26822/iejee.2024.33
3. *Shum, A. & Fryer, L. K. (2023). Grade goal effects on the interplay between motivation and performance in undergraduate
gateway mathematics courses. Contemporary Educational Psychology. https://doi.org/10.1016/j.cedpsych.2023.102228
4. Nakao, K., Oga-Baldwin, W. L. Q., & Fryer, L. K. (2022, Fall). Phonemic awareness as fundamental listening skill: A cross-
sectional, cohort study of elementary foreign language learners.
5. Oga-Baldwin, W. L. Q, Nakao, K., Fryer, L. K., & Shum, A. (2022) Development of a smart application for phonological testing in
elementary schools: The building blocks of an adaptive test. Poster presented at the 21st International CALL Research Conference, Tokyo, Japan. July 8–10.
6. Fryer, L. K., *Shum, A., Leen, A. & Lau, P. (2021). Mapping students' interest in a new domain: Connecting prior knowledge,
interest, and self-efficacy with interesting tasks and a lasting desire to reengage. Learning and Instruction. https://doi.org/10.1016/j.learninstruc.2021.101493
7. Fryer, L. K. & *Shum, A. (2024). Math task experiences and motivation to learn more: how prior knowledge, interest and
self-efficacy with task-interest & task-difficulty together feed a desire to reengage with learning. British Journal of Educational Research. https://doi.org/10.1002/berj.4057
8. Fryer, L. K., *Shum, A., King, R., & Lau, P. (2025). How does interest in a course interact with course learning? Learning and
Instruction. https://doi.org/10.1016/j.learninstruc.2025.102106

