{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T02:25:24Z","timestamp":1743128724299,"version":"3.40.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031363351"},{"type":"electronic","value":"9783031363368"}],"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\/978-3-031-36336-8_77","type":"book-chapter","created":{"date-parts":[[2023,6,29]],"date-time":"2023-06-29T14:02:43Z","timestamp":1688047363000},"page":"497-503","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["It\u2019s Good to Explore: Investigating Silver Pathways and the Role of Frustration During Game-Based Learning"],"prefix":"10.1007","author":[{"given":"Nidhi","family":"Nasiar","sequence":"first","affiliation":[]},{"given":"Andres F.","family":"Zambrano","sequence":"additional","affiliation":[]},{"given":"Jaclyn","family":"Ocumpaugh","sequence":"additional","affiliation":[]},{"given":"Stephen","family":"Hutt","sequence":"additional","affiliation":[]},{"given":"Alexis","family":"Goslen","sequence":"additional","affiliation":[]},{"given":"Jonathan","family":"Rowe","sequence":"additional","affiliation":[]},{"given":"James","family":"Lester","sequence":"additional","affiliation":[]},{"given":"Nathan","family":"Henderson","sequence":"additional","affiliation":[]},{"given":"Eric","family":"Wiebe","sequence":"additional","affiliation":[]},{"given":"Kristy","family":"Boyer","sequence":"additional","affiliation":[]},{"given":"Bradford","family":"Mott","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,6,30]]},"reference":[{"key":"77_CR1","doi-asserted-by":"crossref","unstructured":"Andres, J.M., Hutt, S., Ocumpaugh, J., Baker, R.S., Nasiar, N., Porter, C.: How anxiety affects affect: a quantitative ethnographic investigation using affect detectors and data-targeted interviews. In: International Conference on Quantitative Ethnography, pp. 268\u2013283 (2021)","DOI":"10.1007\/978-3-030-93859-8_18"},{"issue":"3","key":"77_CR2","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1111\/jcal.12128","volume":"32","author":"R Baker","year":"2016","unstructured":"Baker, R., Clark-Midura, J., Ocumpaugh, J.: Towards general models of effective science inquiry in virtual performance assessments. J. Comput. Assist. Learn. 32(3), 267\u2013280 (2016)","journal-title":"J. Comput. Assist. Learn."},{"key":"77_CR3","doi-asserted-by":"crossref","unstructured":"Baker, R., et al.: Affect-targeted interviews for understanding student frustration. In: Proceedings\u00a0of the International\u00a0Conference on Artificial Intelligence & Education (2021)","DOI":"10.1007\/978-3-030-78292-4_5"},{"key":"77_CR4","doi-asserted-by":"crossref","unstructured":"DeFalco, J., et al.: Detecting and addressing frustration in a serious game for military training. Int. J. Artif. Intell. Educ. 28(2), 152\u2013193 (2018)","DOI":"10.1007\/s40593-017-0152-1"},{"issue":"2","key":"77_CR5","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1016\/j.learninstruc.2011.10.001","volume":"22","author":"S D\u2019Mello","year":"2012","unstructured":"D\u2019Mello, S., Graesser, A.: Dynamics of affective states during complex learning. Learn. Instr. 22(2), 145\u2013157 (2012)","journal-title":"Learn. Instr."},{"key":"77_CR6","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1016\/S0166-4115(08)62386-9","volume":"52","author":"SG Hart","year":"1988","unstructured":"Hart, S.G., Staveland, L.E.: Development of NASA-TLX (task load index): results of empirical and theoretical research. Adv. Psychol. 52, 139\u2013183 (1988)","journal-title":"Adv. Psychol."},{"key":"77_CR7","doi-asserted-by":"crossref","unstructured":"Hart, S.G.: NASA-task load index (NASA-TLX); 20 years later. In: Proceedings\u00a0of theHuman Factors & Ergonomics Society Annual Meeting, vol. 50, no. 9, pp. 904\u2013908 (2006)","DOI":"10.1177\/154193120605000909"},{"key":"77_CR8","doi-asserted-by":"crossref","unstructured":"Hutt, S., Grafsgaard, J., D\u2019Mello, S.: Time to scale: Generalizable affect detection for tens of thousands of students across an entire school year. In: Proceedings\u00a0of the 2019, CHI, pp. 1\u201314 (2019)","DOI":"10.1145\/3290605.3300726"},{"key":"77_CR9","unstructured":"Jensen, E., Hutt, S., D\u2019Mello, S.: Generalizability of sensor-free affect detection models in a longitudinal dataset of tens of thousands of students. In: International EDM (2019)"},{"key":"77_CR10","doi-asserted-by":"crossref","unstructured":"Karumbaiah, S., Baker, R.S., Ocumpaugh, J.: The case of self-transitions in affective dynamics. In: Proceedings\u00a0of the 20th International\u00a0Conference on Artificial Intelligence in Education, pp. 172\u2013181 (2019)","DOI":"10.1007\/978-3-030-23204-7_15"},{"key":"77_CR11","unstructured":"Liu, Z., Pataranutaporn, V., Ocumpaugh, J., Baker, R.S.J.d.: Sequences of frustration and confusion, and learning. In: Proceedings\u00a0of the 6th International Conference on Educational Data Mining, pp. 114\u2013120 (2013)"},{"key":"77_CR12","unstructured":"Min, W., et al.: Multimodal goal recognition in open-world digital games. In: Thirteenth Artificial Intelligence and Interactive Digital Entertainment Conference (2017)"},{"key":"77_CR13","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1016\/j.edurev.2015.02.003","volume":"14","author":"M Pedaste","year":"2015","unstructured":"Pedaste, M., et al.: Phases of inquiry-based learning: definitions and the inquiry cycle. Educ. Res. Rev. 14, 47\u201361 (2015)","journal-title":"Educ. Res. Rev."},{"key":"77_CR14","doi-asserted-by":"crossref","unstructured":"Sabourin, J., Mott, B., Lester, J.: Discovering behavior patterns of self-regulated learners in an inquiry-based learning environment. In: International Conference on Artificial Intelligence in Education, pp. 209\u2013218 (2013)","DOI":"10.1007\/978-3-642-39112-5_22"},{"key":"77_CR15","unstructured":"Snow, E., Likens, A., Jackson, T., McNamara, D.: Students\u2019 walk through tutoring: Using a random walk analysis to profile students. In: Proceedings\u00a0of the International\u00a0Conference on Educational Data Mining (2013)"},{"key":"77_CR16","unstructured":"Sawyer, R., Rowe, J., Azevedo, R., Lester, J.: Filtered time series analyses of student problem-solving behaviors in game-based learning. In: International EDM (2018)"},{"issue":"4","key":"77_CR17","doi-asserted-by":"publisher","first-page":"327","DOI":"10.1037\/0033-295X.84.4.327","volume":"84","author":"A Tversky","year":"1977","unstructured":"Tversky, A.: Features of similarity. Psychol. Rev. 84(4), 327 (1977)","journal-title":"Psychol. Rev."},{"key":"77_CR18","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1007\/978-3-319-39583-8_15","volume-title":"Intelligent Tutoring Systems","author":"AK Vail","year":"2016","unstructured":"Vail, A.K., Grafsgaard, J.F., Boyer, K.E., Wiebe, E.N., Lester, J.C.: Predicting learning from student affective response to tutor questions. In: Micarelli, A., Stamper, J., Panourgia, K. (eds.) ITS 2016. LNCS, vol. 9684, pp. 154\u2013164. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-39583-8_15"},{"key":"77_CR19","unstructured":"Voloshin: Introduction to graph theory. Nova Science Publishers (2009)"}],"container-title":["Communications in Computer and Information Science","Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-36336-8_77","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,29]],"date-time":"2023-06-29T14:09:16Z","timestamp":1688047756000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-36336-8_77"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031363351","9783031363368"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-36336-8_77","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"30 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)"}}]}}