{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T14:51:28Z","timestamp":1782485488608,"version":"3.54.5"},"publisher-location":"Cham","reference-count":33,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032297624","type":"print"},{"value":"9783032297631","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,6,27]],"date-time":"2026-06-27T00:00:00Z","timestamp":1782518400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,6,27]],"date-time":"2026-06-27T00:00:00Z","timestamp":1782518400000},"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":[[2027]]},"DOI":"10.1007\/978-3-032-29763-1_20","type":"book-chapter","created":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T14:36:00Z","timestamp":1782484560000},"page":"290-304","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Ordered Network Analysis of\u00a0Epistemic Emotions During Collaborative Problem Solving"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-4641-4798","authenticated-orcid":false,"given":"Sifatul","family":"Anindho","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-4635-3010","authenticated-orcid":false,"given":"Videep","family":"Venkatesha","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9667-8523","authenticated-orcid":false,"given":"Jaclyn","family":"Ocumpaugh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2653-0873","authenticated-orcid":false,"given":"Nathaniel","family":"Blanchard","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,6,27]]},"reference":[{"key":"20_CR1","series-title":"Educational Assessment in an Information Age","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1007\/978-94-017-9395-7_2","volume-title":"Assessment and Teaching of 21st Century Skills","author":"F Hesse","year":"2015","unstructured":"Hesse, F., Care, E., Buder, J., Sassenberg, K., Griffin, P.: A framework for teachable collaborative problem solving skills. In: Griffin, P., Care, E. (eds.) Assessment and Teaching of 21st Century Skills. EAIA, pp. 37\u201356. Springer, Dordrecht (2015). https:\/\/doi.org\/10.1007\/978-94-017-9395-7_2"},{"issue":"145\u2013157","key":"20_CR2","first-page":"9","volume":"22","author":"S D\u2019Mello","year":"2012","unstructured":"D\u2019Mello, S., Graesser, A.: Dynamics of affective states during complex learning. Learn. Instr. 22(145\u2013157), 9 (2012)","journal-title":"Learn. Instr."},{"key":"20_CR3","doi-asserted-by":"publisher","unstructured":"Ismail, D., Hastings, P.: Emotionally adaptive intelligent tutoring system to reduce foreign language anxiety. In: Wang, N., Rebolledo-Mendez, G., Dimitrova, V., Matsuda, N., Santos, O.C. (eds.) Artificial Intelligence in Education (AIED 2023). CCIS, vol. 1831. Springer, Cham (2023). https:\/\/doi.org\/10.1007\/978-3-031-36336-8_55","DOI":"10.1007\/978-3-031-36336-8_55"},{"key":"20_CR4","doi-asserted-by":"publisher","unstructured":"Yu, H. et al.: Affect behavior prediction: using transformers and timing information to make early predictions of student exercise outcome. In: Olney, A.M., Chounta, I.A., Liu, Z., Santos, O.C., Bittencourt, I.I. (eds) Artificial Intelligence in Education. AIED 2024. LNCS, vol. 14830. Springer, Cham (2024). https:\/\/doi.org\/10.1007\/978-3-031-64299-9_14","DOI":"10.1007\/978-3-031-64299-9_14"},{"key":"20_CR5","doi-asserted-by":"crossref","unstructured":"Pekrun, R., Goetz, T., Frenzel, A.C., Barchfeld, P., Perry, R.P.: Measuring emotions in students\u2019 learning and performance: the achievement emotions questionnaire (AEQ). Contemp. Educ. Psychol. (2011)","DOI":"10.1037\/t21196-000"},{"key":"20_CR6","unstructured":"Baker, R.S., Ocumpaugh, J.L., Andres, J.M.A.L.: BROMP quantitative field observations: a review. In: Theory, Research, and Practice, Learning Science, pp. 127\u2013156 (2020)"},{"key":"20_CR7","unstructured":"Baker, R.S.J.D., et al.: Towards sensor-free affect detection in cognitive tutor algebra. In: International Conference on Educational Data Mining (EDM) (2012)"},{"key":"20_CR8","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1007\/978-3-642-21869-9_19","volume-title":"Artificial Intelligence in Education","author":"MS Hussain","year":"2011","unstructured":"Hussain, M.S., AlZoubi, O., Calvo, R.A., D\u2019Mello, S.K.: Affect detection from multichannel physiology during learning sessions with AutoTutor. In: Biswas, G., Bull, S., Kay, J., Mitrovic, A. (eds.) AIED 2011. LNCS (LNAI), vol. 6738, pp. 131\u2013138. Springer, Heidelberg (2011). https:\/\/doi.org\/10.1007\/978-3-642-21869-9_19"},{"key":"20_CR9","doi-asserted-by":"publisher","unstructured":"D\u2019Mello, S.K., Graesser, A.: Language and discourse are powerful signals of student emotions during tutoring. IEEE Trans. Learn. Technol. 5(4), 304\u2013317 (2012). https:\/\/doi.org\/10.1109\/TLT.2012.10","DOI":"10.1109\/TLT.2012.10"},{"key":"20_CR10","doi-asserted-by":"publisher","unstructured":"Zhang, J., Borchers, C., Aleven, V., Baker, R.S.: Using large language models to detect self-regulated learning in think-aloud protocols. In: Paassen, B., Demmans Epp, C. (eds.) Proceedings of the 17th International Conference on Educational Data Mining (EDM 2024), pp. 157\u2013168. International Educational Data Mining Society, Atlanta, GA, USA (2024). https:\/\/doi.org\/10.5281\/zenodo.12729790","DOI":"10.5281\/zenodo.12729790"},{"issue":"2","key":"20_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2946837","volume":"6","author":"N Bosch","year":"2016","unstructured":"Bosch, N., D\u2019Mello, S.K., Ocumpaugh, J., Baker, R.S., Shute, V.: Using video to automatically detect learner affect in computer-enabled classrooms. ACM Trans. Interact. Intell. Syst. 6(2), 1\u201326 (2016)","journal-title":"ACM Trans. Interact. Intell. Syst."},{"issue":"2","key":"20_CR12","first-page":"115","volume":"16","author":"Y Akbulut","year":"2025","unstructured":"Akbulut, Y.: Beyond self-reports: addressing bias and improving data quality in educational research. J. Measur. Eval. Educ. Psychol. 16(2), 115\u2013123 (2025)","journal-title":"J. Measur. Eval. Educ. Psychol."},{"key":"20_CR13","first-page":"610","volume":"43","author":"MK Underwood","year":"1997","unstructured":"Underwood, M.K.: Peer social status and children\u2019s understanding of the expression and control of positive and negative emotions. Merrill-Palmer Q. 43, 610\u2013634 (1997)","journal-title":"Merrill-Palmer Q."},{"key":"20_CR14","doi-asserted-by":"crossref","unstructured":"Russell, D.M., Oren, M.: Retrospective cued recall: a method for accurately recalling previous user behaviors. In: Proceedings of the 42nd Hawaii International Conference on System Sciences (HICSS 2009), pp. 1\u20139 (2009)","DOI":"10.1109\/HICSS.2009.370"},{"key":"20_CR15","unstructured":"Bentley, T., Johnston, L., von Baggo, K.: Evaluation using cued-recall debrief to elicit information about a user\u2019s affective experiences. In: Proceedings of the 17th Australia Conference on Computer-Human Interaction: Citizens Online: Considerations for Today and the Future, pp. 1\u201310, November 2005"},{"key":"20_CR16","doi-asserted-by":"publisher","unstructured":"Anindho, S., Venkatesha, V., Bradford, M., Cleary, A.M., Blanchard, N.: An exploration of internal states in collaborative problem solving. In: Kurosu, M., Hashizume, A. (eds.) Human-Computer Interaction. HCII 2025. LNCS, vol. 15768. Springer, Cham (2025). https:\/\/doi.org\/10.1007\/978-3-031-93845-0_11","DOI":"10.1007\/978-3-031-93845-0_11"},{"key":"20_CR17","doi-asserted-by":"crossref","unstructured":"Tan, Y., Ruis, A., Marquart, C., Cai, Z., Knowles, M., Shaffer, D.: Ordered network analysis. In: Dam\u015fa, C., Barany, A. (eds.) Advances in Quantitative Ethnography. ICQE 2022. CCIS, vol. 1785 (2023)","DOI":"10.1007\/978-3-031-31726-2_8"},{"key":"20_CR18","doi-asserted-by":"publisher","unstructured":"Pekrun, R.: The control-value theory of achievement emotions: assumptions, corollaries, and implications for educational research and practice. Educ. Psychol. Rev. 18(4), 315\u2013341 (2006). https:\/\/doi.org\/10.1007\/s10648-006-9029-9","DOI":"10.1007\/s10648-006-9029-9"},{"key":"20_CR19","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"172","DOI":"10.1007\/978-3-030-23204-7_15","volume-title":"Artificial Intelligence in Education","author":"S Karumbaiah","year":"2019","unstructured":"Karumbaiah, S., Baker, R.S., Ocumpaugh, J.: The case of self-transitions in affective dynamics. In: Isotani, S., Mill\u00e1n, E., Ogan, A., Hastings, P., McLaren, B., Luckin, R. (eds.) AIED 2019. LNCS (LNAI), vol. 11625, pp. 172\u2013181. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-23204-7_15"},{"key":"20_CR20","doi-asserted-by":"crossref","unstructured":"Ocumpaugh, J., et al.: Refocusing the lens through which we view affect dynamics: the skills, difficulty, value, efficacy and time model. Presented at the Learning Analytics and Knowledge Conference, Dublin, Ireland (2025)","DOI":"10.1145\/3706468.3706495"},{"issue":"7","key":"20_CR21","doi-asserted-by":"publisher","first-page":"1299","DOI":"10.1080\/02699931.2011.613668","volume":"25","author":"S D\u2019Mello","year":"2011","unstructured":"D\u2019Mello, S., Graesser, A.: The half-life of cognitive-affective states during complex learning. Cogn. Emotion 25(7), 1299\u20131308 (2011)","journal-title":"Cogn. Emotion"},{"key":"20_CR22","doi-asserted-by":"publisher","unstructured":"Baker, R.S.J.D., D\u2019Mello, S.K., Rodrigo, M.M.T., Graesser, A.C.: Better to be frustrated than bored: the incidence, persistence, and impact of learners\u2019 cognitive\u2013affective states during interactions with three different computer-based learning environments. Int. J. Hum.-Comput. Stud. 68(4), 223\u2013241 (2010). https:\/\/doi.org\/10.1016\/j.ijhcs.2009.12.003","DOI":"10.1016\/j.ijhcs.2009.12.003"},{"key":"20_CR23","unstructured":"Liu, Z., et al.: Sequences of frustration and confusion, and learning. In Proceedings of the Educational Data Mining 2013, Memphis, TN, USA, 6\u20139 July 2013"},{"key":"20_CR24","doi-asserted-by":"crossref","unstructured":"Shaffer, D.W., et al.: A tutorial on epistemic network analysis: analyzing the structure of connections in cognitive, social, and interaction data. J. Learn. Anal. 3(3), 9\u201345 (2016)","DOI":"10.18608\/jla.2016.33.3"},{"key":"20_CR25","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"362","DOI":"10.1007\/978-3-030-67788-6_25","volume-title":"Advances in Quantitative Ethnography","author":"S Karumbaiah","year":"2021","unstructured":"Karumbaiah, S., Baker, R.S.: Studying affect dynamics using epistemic networks. In: Ruis, A.R., Lee, S.B. (eds.) ICQE 2021. CCIS, vol. 1312, pp. 362\u2013374. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-67788-6_25"},{"key":"20_CR26","doi-asserted-by":"publisher","unstructured":"Khebour, I., et al.: When text and speech are not enough: a multimodal dataset of collaboration in a situated task. J. Open Hum. Data 10, 7, 1\u20137 (2024). https:\/\/doi.org\/10.5334\/johd.168","DOI":"10.5334\/johd.168"},{"key":"20_CR27","doi-asserted-by":"crossref","unstructured":"Huang, X., Lajoie, S.P.: Social emotional interaction in collaborative learning: why it matters and how can we measure it? Soc. Sci. Hum. Open 7(1), 100447 (2023)","DOI":"10.1016\/j.ssaho.2023.100447"},{"issue":"1","key":"20_CR28","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1111\/bjet.13280","volume":"54","author":"A Nguyen","year":"2023","unstructured":"Nguyen, A., et al.: Examining socially shared regulation and shared physiological arousal events with multimodal learning analytics. Br. J. Edu. Technol. 54(1), 293\u2013312 (2023)","journal-title":"Br. J. Edu. Technol."},{"key":"20_CR29","doi-asserted-by":"publisher","DOI":"10.1016\/j.cedpsych.2022.102050","volume":"69","author":"M Dindar","year":"2022","unstructured":"Dindar, M., J\u00e4rvel\u00e4, S., Nguyen, A., Haataja, E., \u00c7ini, A.: Detecting shared physiological arousal events in collaborative problem solving. Contemp. Educ. Psychol. 69, 102050 (2022)","journal-title":"Contemp. Educ. Psychol."},{"key":"20_CR30","unstructured":"Ma, Y., et al.: Automatically detecting confusion and conflict during collaborative learning using linguistic, prosodic, and facial cues. arXiv preprint arXiv:2401.15201 (2024)"},{"key":"20_CR31","unstructured":"Epistemic Network Analysis (ENA). https:\/\/www.epistemicnetwork.org\/. Accessed 18 Jan 2026"},{"key":"20_CR32","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1007\/978-3-030-67788-6_7","volume-title":"Advances in Quantitative Ethnography: Second International Conference, ICQE 2020, Malibu, CA, USA, February 1\u20133, 2021, Proceedings","author":"D Bowman","year":"2021","unstructured":"Bowman, D., et al.: The mathematical foundations of epistemic network analysis. In: Ruis, A., Lee, S.B. (eds.) Advances in Quantitative Ethnography: Second International Conference, ICQE 2020, Malibu, CA, USA, February 1\u20133, 2021, Proceedings, pp. 91\u2013105. Springer (2021)"},{"issue":"4","key":"20_CR33","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1080\/00461520.2014.965823","volume":"49","author":"MT Chi","year":"2014","unstructured":"Chi, M.T., Wylie, R.: The ICAP framework: linking cognitive engagement to active learning outcomes. Educ. Psychol. 49(4), 219\u2013243 (2014)","journal-title":"Educ. Psychol."}],"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\/978-3-032-29763-1_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T14:36:17Z","timestamp":1782484577000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-29763-1_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,27]]},"ISBN":["9783032297624","9783032297631"],"references-count":33,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-29763-1_20","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,6,27]]},"assertion":[{"value":"27 June 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare for this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"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":"Seoul","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Korea (Republic of)","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2026","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 June 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 July 2026","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aied2026","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.aied-conference.org\/2026","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}