Abstract
Learners often have metacognitive deficits that limit their ability to select material at appropriate levels in independent studying situations. The increasing prevalence of intelligent recommender systems can assume this role, while also fostering a kind of experiential meta-instruction. The creation of hybrid tutors (federated systems of both adaptive and static learning resources with a single interface and learning record store) provides an opportunity to test this experiential instruction of metacognitive strategies. As a test case, we examine the hybrid tutor ElectronixTutor, which has two distinct intelligent recommender engines corresponding to distinct use cases. Each of these constitutes a method of providing scaffolding to learners so that they can internalize the principled, theoretically informed reasons for the order of their progression through learning content. However, the learning described is speculative and requires evaluation. By examining expected efficacy, perceived efficacy, actual efficacy, and especially the relationships among these three concepts, actionable insights should arise pertaining to adaptive instructional system design, learning science generally, and other areas.
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References
Baker, L.: Social influences on metacognitive development in reading. In: Cornoldi, C., Oakhill, J. (eds.) Reading Comprehension Difficulties: Processes and Intervention, pp. 331–352. Lawrence Erlbaum Associates, Inc., Mahwah (1996)
Dewey, J.: Democracy and education. In: Boydston, J.A. (ed.) The Middle Works of John Dewey, vol. 9, pp. 1899–1924 (1966)
Kolb, D.: Experiential Learning: Experience as the Source of Learning and Development. Prentice-Hall, Upper Saddle River (1984)
Reigeluth, C.M., Carr-Chellman, A.A. (eds.): Instructional-Design Theories and Models: Building a Common Knowledge Base, vol. 3. Routledge, Abingdon (2009)
Graesser, A.C.: Emotions are the experiential glue of learning environments in the 21st century. Learn. Instr. (in press)
Tawfik, A.A., Gatewood, J., Gishbaugher, J.J., Hampton, A.J.: Toward a definition of learning experience design. Technol. Knowl. Learn. (in press)
Jackson, G.T., Graesser, A.C., McNamara, D.S.: What students expect may have more impact than what they know or feel. In: Dimitrova, V., Mizoguchi, R., Du Boulay, B., Graesser, A.C. (eds.) Proceedings of 14th International Conference on Artificial Intelligence in Education. Building Learning Systems that Care: From Knowledge Representation to Affective Modelling, pp. 73–80. IOS Press, Amsterdam (2009)
Jackson, L., MacIsaac, D.: Introduction to a new approach to experiential learning. In: Jackson, L., Caffarella, R. (eds.) Experiential Learning: A New Approach, pp. 17–28. Jossey-Bass, San Francisco (1994)
Hampton, A.J., Graesser, A.C.: Foundational principles and design of a hybrid tutor. In: Sottilare, R.A., Schwarz, J. (eds.) Proceedings of the First International Conference, AIS 2019, Held as Part of the 21st HCI International Conference, Orlando, FL, pp. 96–107 (2019)
Graesser, A.C., et al.: ElectronixTutor: an adaptive learning platform with multiple resources. In: Proceedings of the Interservice/Industry Training, Simulation, and Education Conference (I/ITSEC 2018), Orlando, FL (2018)
Graesser, A.C., et al.: ElectronixTutor: an intelligent tutoring system with multiple learning resources for electronics. Int. J. STEM Educ. 5(1), 15 (2018)
Graesser, A.C., Conley, M.W., Olney, A.: Intelligent tutoring systems. In: Harris, K.R., Graham, S., Urdan, T., Bus, A.G., Major, S., Swanson, H.L. (eds.) APA Handbooks in Psychology®. APA Educational Psychology Handbook. Application to Learning and Teaching, vol. 3, pp. 451–473. American Psychological Association (2012)
Morgan, B., et al.: ElectronixTutor integrates multiple learning resources to teach electronics on the web. In: Proceedings of the Fifth Annual ACM Conference on Learning at Scale, pp. 1–2 (2018)
Tackett, A.C., et al.: Knowledge components as a unifying standard of intelligent tutoring systems. In: Proceedings of Artificial Intelligence in Education 2018, London, UK, p. 33 (2018)
Graesser, A.C.: ElectronixTutor recommender system (2017). Privately shared Google Doc. Accessed 24 Feb 2020
Vygotsky, L.: Interaction between learning and development. Read. Dev. Child. 23(3), 34–41 (1978)
Hampton, A.J., Wang, L.: Conversational AIS as the cornerstone of hybrid tutors. In: Sottilare, R.A., Schwarz, J. (eds.) HCII 2019. LNCS, vol. 11597, pp. 634–644. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-22341-0_49
Bruner, J.: Vygotsky: a historical and conceptual perspective. In: Wertsch, J.V. (ed.) Culture, Communication, and Cognition: Vygotskian Perspectives, pp. 21–34 (1985)
Israel, S.E., Bauserman, K.L., Block, C.C.: Metacognitive assessment strategies. Think. Classr. 6(2), 21 (2005)
Bannert, M., Mengelkamp, C.: Assessment of metacognitive skills by means of instruction to think aloud and reflect when prompted. Does the verbalisation method affect learning? Metacogn. Learn. 3(1), 39–58 (2008)
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Hampton, A.J., Tawfik, A.A. (2020). Experiential Instruction of Metacognitive Strategies. In: Sottilare, R.A., Schwarz, J. (eds) Adaptive Instructional Systems. HCII 2020. Lecture Notes in Computer Science(), vol 12214. Springer, Cham. https://doi.org/10.1007/978-3-030-50788-6_8
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