{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,18]],"date-time":"2026-05-18T16:45:08Z","timestamp":1779122708370,"version":"3.51.4"},"publisher-location":"Cham","reference-count":27,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031362712","type":"print"},{"value":"9783031362729","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-36272-9_24","type":"book-chapter","created":{"date-parts":[[2023,6,25]],"date-time":"2023-06-25T23:03:19Z","timestamp":1687734199000},"page":"291-303","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Leveraging Deep Reinforcement Learning for\u00a0Metacognitive Interventions Across Intelligent Tutoring Systems"],"prefix":"10.1007","author":[{"given":"Mark","family":"Abdelshiheed","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"John Wesley","family":"Hostetter","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tiffany","family":"Barnes","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Min","family":"Chi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,6,26]]},"reference":[{"key":"24_CR1","unstructured":"Abdelshiheed, M., Hostetter, J.W., Barnes, T., Chi, M.: Bridging declarative, procedural, and conditional metacognitive knowledge gap using deep reinforcement learning. In: CogSci (2023)"},{"key":"24_CR2","unstructured":"Abdelshiheed, M., Hostetter, J.W., Shabrina, P., Barnes, T., Chi, M.: The power of nudging: exploring three interventions for metacognitive skills instruction across intelligent tutoring systems. In: CogSci, pp. 541\u2013548 (2022)"},{"key":"24_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"546","DOI":"10.1007\/978-3-031-11644-5_47","volume-title":"Artificial Intelligence in Education","author":"M Abdelshiheed","year":"2022","unstructured":"Abdelshiheed, M., Hostetter, J.W., Yang, X., Barnes, T., Chi, M.: Mixing backward- with forward-chaining for metacognitive skill acquisition and transfer. In: Rodrigo, M.M., Matsuda, N., Cristea, A.I., Dimitrova, V. (eds.) AIED 2022. LNCS, vol. 13355, pp. 546\u2013552. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-11644-5_47"},{"key":"24_CR4","unstructured":"Abdelshiheed, M., Maniktala, M., Barnes, T., Chi, M.: Assessing competency using metacognition and motivation: the role of time-awareness in preparation for future learning. In: Design Recommendations for Intelligent Tutoring Systems, vol. 9, pp. 121\u2013131. US Army CCDC Soldier Center (2022)"},{"key":"24_CR5","unstructured":"Abdelshiheed, M., Maniktala, M., Ju, S., Jain, A., Barnes, T., Chi, M.: Preparing unprepared students for future learning. In: CogSci, pp. 2547\u20132553 (2021)"},{"key":"24_CR6","unstructured":"Abdelshiheed, M., Zhou, G., Maniktala, M., Barnes, T., Chi, M.: Metacognition and motivation: the role of time-awareness in preparation for future learning. In: CogSci, pp. 945\u2013951 (2020)"},{"issue":"2","key":"24_CR7","first-page":"6","volume":"2","author":"DM Belenky","year":"2009","unstructured":"Belenky, D.M., et al.: Examining the role of manipulatives and metacognition on engagement, learning, and transfer. J. Probl. Solving 2(2), 6 (2009)","journal-title":"J. Probl. Solving"},{"key":"24_CR8","first-page":"98","volume":"24","author":"H de Boer","year":"2018","unstructured":"de Boer, H., et al.: Long-term effects of metacognitive strategy instruction on student academic performance: a meta-analysis. Educ. Psychol. Rev. 24, 98\u2013115 (2018)","journal-title":"Educ. Psychol. Rev."},{"issue":"1","key":"24_CR9","doi-asserted-by":"publisher","first-page":"61","DOI":"10.3102\/0091732X024001061","volume":"24","author":"JD Bransford","year":"1999","unstructured":"Bransford, J.D., Schwartz, D.L.: Rethinking transfer: a simple proposal with multiple implications. Rev. Res. Educ. 24(1), 61\u2013100 (1999)","journal-title":"Rev. Res. Educ."},{"key":"24_CR10","unstructured":"Detterman, D.K., Sternberg, R.J.: Transfer on Trial: Intelligence, Cognition, and Instruction. Ablex Publishing (1993)"},{"issue":"1","key":"24_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1037\/xlm0000153","volume":"42","author":"LK Fazio","year":"2016","unstructured":"Fazio, L.K., et al.: Strategy use and strategy choice in fraction magnitude comparison. J. Exp. Psychol. Learn. Mem. Cogn. 42(1), 1 (2016)","journal-title":"J. Exp. Psychol. Learn. Mem. Cogn."},{"key":"24_CR12","doi-asserted-by":"crossref","unstructured":"Fellman, D., et al.: The role of strategy use in working memory training outcomes. J. Mem. Lang. 110, 104064 (2020)","DOI":"10.1016\/j.jml.2019.104064"},{"issue":"10","key":"24_CR13","doi-asserted-by":"publisher","first-page":"906","DOI":"10.1037\/0003-066X.34.10.906","volume":"34","author":"JH Flavell","year":"1979","unstructured":"Flavell, J.H.: Metacognition and cognitive monitoring: a new area of cognitive-developmental inquiry. Am. Psychol. 34(10), 906 (1979)","journal-title":"Am. Psychol."},{"key":"24_CR14","unstructured":"Hostetter, J.W., Abdelshiheed, M., Barnes, T., Chi, M.: A self-organizing neuro-fuzzy q-network: Systematic design with offline hybrid learning. In: AAMAS (2023)"},{"key":"24_CR15","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1007\/978-3-030-78292-4_18","volume-title":"Artificial Intelligence in Education","author":"S Ju","year":"2021","unstructured":"Ju, S., Zhou, G., Abdelshiheed, M., Barnes, T., Chi, M.: Evaluating critical reinforcement learning framework in the field. In: Roll, I., McNamara, D., Sosnovsky, S., Luckin, R., Dimitrova, V. (eds.) AIED 2021. LNCS (LNAI), vol. 12748, pp. 215\u2013227. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-78292-4_18"},{"key":"24_CR16","unstructured":"Krueger, P.M., Lieder, F., Griffiths, T.: Enhancing metacognitive reinforcement learning using reward structures and feedback. In: CogSci (2017)"},{"issue":"5","key":"24_CR17","doi-asserted-by":"publisher","first-page":"178","DOI":"10.1111\/1467-8721.00088","volume":"9","author":"D Kuhn","year":"2000","unstructured":"Kuhn, D.: Metacognitive development. Curr. Dir. Psychol. Sci. 9(5), 178\u2013181 (2000)","journal-title":"Curr. Dir. Psychol. Sci."},{"issue":"7540","key":"24_CR18","doi-asserted-by":"publisher","first-page":"529","DOI":"10.1038\/nature14236","volume":"518","author":"V Mnih","year":"2015","unstructured":"Mnih, V., et al.: Human-level control through deep reinforcement learning. Nature 518(7540), 529\u2013533 (2015)","journal-title":"Nature"},{"key":"24_CR19","unstructured":"Richey, J.E., Zepeda, C.D., Nokes-Malach, T.J.: Transfer effects of prompted and self-reported analogical comparison and self-explanation. In: CogSci, vol. 37 (2015)"},{"key":"24_CR20","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1080\/0144341930130304","volume":"13","author":"MJ Roberts","year":"1993","unstructured":"Roberts, M.J., Erdos, G.: Strategy selection and metacognition. Educ. Psychol. 13, 259\u2013266 (1993)","journal-title":"Educ. Psychol."},{"key":"24_CR21","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"472","DOI":"10.1007\/978-3-030-52237-7_38","volume-title":"Artificial Intelligence in Education","author":"M Sanz Ausin","year":"2020","unstructured":"Sanz Ausin, M., Maniktala, M., Barnes, T., Chi, M.: Exploring the impact of simple explanations and agency on batch deep reinforcement learning induced pedagogical policies. In: Bittencourt, I.I., Cukurova, M., Muldner, K., Luckin, R., Mill\u00e1n, E. (eds.) AIED 2020. LNCS (LNAI), vol. 12163, pp. 472\u2013485. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-52237-7_38"},{"key":"24_CR22","doi-asserted-by":"crossref","unstructured":"Shabrina, P., Mostafavi, B., Abdelshiheed, M., Chi, M., Barnes, T.: Investigating the impact of backward strategy learning in a logic tutor: Aiding subgoal learning towards improved problem solving. IJAIED (2023)","DOI":"10.1007\/s40593-023-00338-1"},{"issue":"3","key":"24_CR23","doi-asserted-by":"publisher","first-page":"272","DOI":"10.1016\/j.learninstruc.2008.05.003","volume":"19","author":"N Sp\u00f6rer","year":"2009","unstructured":"Sp\u00f6rer, N., et al.: Improving students\u2019 reading comprehension skills: effects of strategy instruction and reciprocal teaching. Learn. Instr. 19(3), 272\u2013286 (2009)","journal-title":"Learn. Instr."},{"key":"24_CR24","volume-title":"Reinforcement Learning: An Introduction","author":"RS Sutton","year":"2018","unstructured":"Sutton, R.S., et al.: Reinforcement Learning: An Introduction. MIT Press, Cambridge (2018)"},{"key":"24_CR25","doi-asserted-by":"crossref","unstructured":"Van Hasselt, H., Guez, A., Silver, D.: Deep reinforcement learning with double Q-learning. In: AAAI, vol. 30 (2016)","DOI":"10.1609\/aaai.v30i1.10295"},{"issue":"4","key":"24_CR26","doi-asserted-by":"publisher","first-page":"954","DOI":"10.1037\/edu0000022","volume":"107","author":"CD Zepeda","year":"2015","unstructured":"Zepeda, C.D., et al.: Direct instruction of metacognition benefits adolescent science learning, transfer, and motivation. J. Educ. Psychol. 107(4), 954 (2015)","journal-title":"J. Educ. Psychol."},{"key":"24_CR27","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"544","DOI":"10.1007\/978-3-030-23204-7_45","volume-title":"Artificial Intelligence in Education","author":"G Zhou","year":"2019","unstructured":"Zhou, G., Azizsoltani, H., Ausin, M.S., Barnes, T., Chi, M.: Hierarchical reinforcement learning for pedagogical policy induction. In: Isotani, S., Mill\u00e1n, E., Ogan, A., Hastings, P., McLaren, B., Luckin, R. (eds.) AIED 2019. LNCS (LNAI), vol. 11625, pp. 544\u2013556. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-23204-7_45"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence in Education"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-36272-9_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T16:06:53Z","timestamp":1710259613000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-36272-9_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031362712","9783031362729"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-36272-9_24","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"26 June 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AIED","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Artificial Intelligence in Education","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tokyo","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 July 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 July 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aied2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.aied2023.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"311","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"53","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"26","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"17% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}