{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T10:11:17Z","timestamp":1777630277054,"version":"3.51.4"},"publisher-location":"Cham","reference-count":48,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030782917","type":"print"},{"value":"9783030782924","type":"electronic"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-78292-4_38","type":"book-chapter","created":{"date-parts":[[2021,6,10]],"date-time":"2021-06-10T21:03:59Z","timestamp":1623359039000},"page":"472-485","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":23,"title":["Investigating Students\u2019 Experiences with Collaboration Analytics for Remote Group Meetings"],"prefix":"10.1007","author":[{"given":"Qi","family":"Zhou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wannapon","family":"Suraworachet","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stanislav","family":"Pozdniakov","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Roberto","family":"Martinez-Maldonado","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tom","family":"Bartindale","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peter","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dan","family":"Richardson","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mutlu","family":"Cukurova","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,6,11]]},"reference":[{"key":"38_CR1","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1007\/978-3-030-23207-8_31","volume-title":"Artificial Intelligence in Education","author":"H Li","year":"2019","unstructured":"Li, H., Gobert, J., Dickler, R.: Evaluating the transfer of scaffolded inquiry: what sticks and does it last? In: Isotani, S., Mill\u00e1n, E., Ogan, A., Hastings, P., McLaren, B., Luckin, R. (eds.) AIED 2019. LNCS (LNAI), vol. 11626, pp. 163\u2013168. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-23207-8_31"},{"issue":"3","key":"38_CR2","doi-asserted-by":"publisher","first-page":"459","DOI":"10.1007\/s40593-020-00205-3","volume":"30","author":"K VanLehn","year":"2020","unstructured":"VanLehn, K., Banerjee, C., Milner, F., Wetzel, J.: Teaching Algebraic model construction: a tutoring system, lessons learned and an evaluation. Int. J. Artif. Intell. Educ. 30(3), 459\u2013480 (2020). https:\/\/doi.org\/10.1007\/s40593-020-00205-3","journal-title":"Int. J. Artif. Intell. Educ."},{"key":"38_CR3","doi-asserted-by":"publisher","first-page":"223","DOI":"10.1016\/j.ijhcs.2009.12.003","volume":"68","author":"RSJ Baker","year":"2010","unstructured":"Baker, R.S.J., 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, 223\u2013241 (2010). https:\/\/doi.org\/10.1016\/j.ijhcs.2009.12.003","journal-title":"Int. J. Hum.-Comput. Stud."},{"key":"38_CR4","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1109\/MIS.2007.79","volume":"22","author":"S D\u2019Mello","year":"2007","unstructured":"D\u2019Mello, S., Graesser, A., Picard, R.: Toward an affect-sensitive autotutor. Intell. Syst. IEEE. 22, 53\u201361 (2007). https:\/\/doi.org\/10.1109\/MIS.2007.79","journal-title":"Intell. Syst. IEEE."},{"key":"38_CR5","unstructured":"Boulay, B.D.: Intelligence tutoring systems that adapt to learners motivation. Presented at the 1 October (2018)"},{"key":"38_CR6","doi-asserted-by":"publisher","first-page":"344","DOI":"10.1016\/j.cedpsych.2003.09.002","volume":"29","author":"R Azevedo","year":"2004","unstructured":"Azevedo, R., Cromley, J.G., Seibert, D.: Does adaptive scaffolding facilitate students\u2019 ability to regulate their learning with hypermedia? Contemp. Educ. Psychol. 29, 344\u2013370 (2004). https:\/\/doi.org\/10.1016\/j.cedpsych.2003.09.002","journal-title":"Contemp. Educ. Psychol."},{"key":"38_CR7","doi-asserted-by":"publisher","first-page":"471","DOI":"10.1007\/978-981-287-113-8_24","volume-title":"Seamless Learning in the Age of Mobile Connectivity","author":"J Laru","year":"2015","unstructured":"Laru, J., J\u00e4rvel\u00e4, S.: Integrated use of multiple social software tools and face-to-face activities to support self-regulated learning: a case study in a higher education context. In: Wong, L.-H., Milrad, M., Specht, M. (eds.) Seamless Learning in the Age of Mobile Connectivity, pp. 471\u2013484. Springer Singapore, Singapore (2015). https:\/\/doi.org\/10.1007\/978-981-287-113-8_24"},{"key":"38_CR8","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1007\/978-3-319-89680-9_8","volume-title":"Contemporary Technologies in Education","author":"PH Winne","year":"2019","unstructured":"Winne, P.H.: Enhancing self-regulated learning for information problem solving with ambient big data gathered by nstudy. In: Adesope, O.O., Rud, A.G. (eds.) Contemporary Technologies in Education, pp. 145\u2013162. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-319-89680-9_8"},{"key":"38_CR9","doi-asserted-by":"publisher","first-page":"2824","DOI":"10.1111\/bjet.12861","volume":"50","author":"R Luckin","year":"2019","unstructured":"Luckin, R., Cukurova, M.: Designing educational technologies in the age of AI: a learning sciences-driven approach. Br. J. Educ. Technol. 50, 2824\u20132838 (2019). https:\/\/doi.org\/10.1111\/bjet.12861","journal-title":"Br. J. Educ. Technol."},{"key":"38_CR10","doi-asserted-by":"publisher","first-page":"2943","DOI":"10.1111\/bjet.12858","volume":"50","author":"CP Ros\u00e9","year":"2019","unstructured":"Ros\u00e9, C.P., McLaughlin, E.A., Liu, R., Koedinger, K.R.: Explanatory learner models: why machine learning (alone) is not the answer. Br. J. Educ. Technol. 50, 2943\u20132958 (2019). https:\/\/doi.org\/10.1111\/bjet.12858","journal-title":"Br. J. Educ. Technol."},{"key":"38_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.18608\/jla.2019.62.1","volume":"6","author":"SB Shum","year":"2019","unstructured":"Shum, S.B., Ferguson, R., Martinez-Maldonado, R.: Human-Centred Learning Analytics. J. Learn. Anal. 6, 1\u20139 (2019). https:\/\/doi.org\/10.18608\/jla.2019.62.1","journal-title":"J. Learn. Anal."},{"key":"38_CR12","doi-asserted-by":"publisher","unstructured":"Holmes, W., et al.: Ethics of AI in education: towards a community-wide framework. Int. J. Artif. Intell. Educ. (2021). https:\/\/doi.org\/10.1007\/s40593-021-00239-1","DOI":"10.1007\/s40593-021-00239-1"},{"key":"38_CR13","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1007\/978-3-030-52240-7_53","volume-title":"Artificial Intelligence in Education","author":"B Sj\u00f6d\u00e9n","year":"2020","unstructured":"Sj\u00f6d\u00e9n, B.: When lying, hiding and deceiving promotes learning - a case for augmented intelligence with augmented ethics. In: Bittencourt, I.I., Cukurova, M., Muldner, K., Luckin, R., Mill\u00e1n, E. (eds.) AIED 2020. LNCS (LNAI), vol. 12164, pp. 291\u2013295. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-52240-7_53"},{"key":"38_CR14","unstructured":"Kuniavsky, M., Churchill, E., Steenson, M.W. (eds): Designing the user experience of machine learning systems. In: AAAI Spring Symposium Proceedings (Technical Report SS-17\u201304). The AAAI Press, Palo Alto, CA, U.S.A. (2017)"},{"key":"38_CR15","doi-asserted-by":"crossref","unstructured":"Amershi, S., et al.: Guidelines for Human-AI interaction. In: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, pp. 1\u201313. ACM, Glasgow Scotland UK (2019)","DOI":"10.1145\/3290605.3300233"},{"key":"38_CR16","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1007\/978-3-319-93843-1_12","volume-title":"Artificial Intelligence in Education","author":"K Holstein","year":"2018","unstructured":"Holstein, K., McLaren, B.M., Aleven, V.: Student learning benefits of a mixed-reality teacher awareness tool in AI-enhanced classrooms. In: Penstein Ros\u00e9, C., et al. (eds.) AIED 2018. LNCS (LNAI), vol. 10947, pp. 154\u2013168. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-93843-1_12"},{"key":"38_CR17","unstructured":"Holstein, K., McLaren, B.M., Aleven, V.: Informing the design of teacher awareness tools through causal alignment analysis. In: 13th International Conference of the Learning Sciences (ICLS 2018) (2018)"},{"key":"38_CR18","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1007\/978-3-030-23204-7_14","volume-title":"Artificial Intelligence in Education","author":"K Holstein","year":"2019","unstructured":"Holstein, K., McLaren, B.M., Aleven, V.: Designing for complementarity: teacher and student needs for orchestration support in AI-Enhanced classrooms. In: Isotani, S., Mill\u00e1n, E., Ogan, A., Hastings, P., McLaren, B., Luckin, R. (eds.) AIED 2019. LNCS (LNAI), vol. 11625, pp. 157\u2013171. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-23204-7_14"},{"key":"38_CR19","doi-asserted-by":"publisher","first-page":"27","DOI":"10.18608\/jla.2019.62.3","volume":"6","author":"K Holstein","year":"2019","unstructured":"Holstein, K., McLaren, B.M., Aleven, V.: Co-designing a Real-time classroom orchestration tool to support teacher\u2013AI complementarity. J. Learn. Anal. 6, 27\u201352 (2019). https:\/\/doi.org\/10.18608\/jla.2019.62.3","journal-title":"J. Learn. Anal."},{"key":"38_CR20","doi-asserted-by":"crossref","unstructured":"van Leeuwen, A., Rummel, N.: Comparing teachers\u2019 use of mirroring and advising dashboards. In: Proceedings of the Tenth International Conference on Learning Analytics & Knowledge. pp. 26\u201334. ACM, Frankfurt Germany (2020)","DOI":"10.1145\/3375462.3375471"},{"key":"38_CR21","doi-asserted-by":"publisher","first-page":"921","DOI":"10.1111\/bjet.12616","volume":"50","author":"A van Leeuwen","year":"2019","unstructured":"van Leeuwen, A., Bos, N., van Ravenswaaij, H., van Oostenrijk, J.: The role of temporal patterns in students\u2019 behavior for predicting course performance: a comparison of two blended learning courses: Comparison of two blended learning courses. Br. J. Educ. Technol. 50, 921\u2013933 (2019). https:\/\/doi.org\/10.1111\/bjet.12616","journal-title":"Br. J. Educ. Technol."},{"key":"38_CR22","doi-asserted-by":"crossref","unstructured":"Dillenbourg, P., Prieto, L.P., Olsen, J.K.: Classroom orchestration. In: International Handbook of the Learning Sciences. Routledge (2018)","DOI":"10.4324\/9781315617572-18"},{"key":"38_CR23","doi-asserted-by":"crossref","unstructured":"Echeverria, V., Martinez-Maldonado, R., Shum, S. B.: Towards collaboration translucence: giving meaning to multimodal group data. In: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems - CHI 2019, pp. 1\u201316. ACM Press, Glasgow, Scotland UK (2019)","DOI":"10.1145\/3290605.3300269"},{"key":"38_CR24","doi-asserted-by":"crossref","unstructured":"Prieto-Alvarez, C.G., Martinez-Maldonado, R., Shum, S.B.: Mapping learner-data journeys: evolution of a visual co-design tool. In: Proceedings of the 30th Australian Conference on Computer-Human Interaction, pp. 205\u2013214. ACM, Melbourne Australia (2018)","DOI":"10.1145\/3292147.3292168"},{"key":"38_CR25","doi-asserted-by":"publisher","unstructured":"Chen, B., Zhu, H.: Towards value-sensitive learning analytics design. In: Proceedings of the 9th International Conference on Learning Analytics and Knowledge, 343\u2013352 (2019). https:\/\/doi.org\/10.1145\/3303772.3303798","DOI":"10.1145\/3303772.3303798"},{"key":"38_CR26","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1504\/IJTEL.2017.084501","volume":"9","author":"S Charleer","year":"2017","unstructured":"Charleer, S., Klerkx, J., Duval, E.: Towards balanced discussions in the classroom using ambient information visualisations. Int. J. Technol. Enhanc. Learn. 9, 27 (2017)","journal-title":"Int. J. Technol. Enhanc. Learn."},{"key":"38_CR27","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1080\/07370024.2017.1338956","volume":"34","author":"R Martinez-Maldonado","year":"2019","unstructured":"Martinez-Maldonado, R., Kay, J., Shum, S.B., Yacef, K.: Collocated collaboration analytics: principles and dilemmas for mining multimodal interaction data. Hum.-Comput. Interact. 34, 1\u201350 (2019). https:\/\/doi.org\/10.1080\/07370024.2017.1338956","journal-title":"Hum.-Comput. Interact."},{"key":"38_CR28","doi-asserted-by":"publisher","unstructured":"Cranshaw, J., et al.: Calendar.help: Designing a workflow-based scheduling agent with humans in the loop. In: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2382\u20132393 (2017). https:\/\/doi.org\/10.1145\/3025453.3025780","DOI":"10.1145\/3025453.3025780"},{"key":"38_CR29","doi-asserted-by":"crossref","unstructured":"Winkler, R., Bittner, E., Neuweiler, M.L., S\u00f6llner, M.: Hey Alexa, Please help us solve this problem! How interactions with smart personal assistants improve group performance. Presented at the Fortieth International Conference on Information Systems, Munich (2019)","DOI":"10.1145\/3290607.3313090"},{"issue":"4","key":"38_CR30","doi-asserted-by":"publisher","first-page":"469","DOI":"10.1007\/s11412-020-09333-3","volume":"15","author":"Y Hayashi","year":"2020","unstructured":"Hayashi, Y.: Gaze awareness and metacognitive suggestions by a pedagogical conversational agent: an experimental investigation on interventions to support collaborative learning process and performance. Int. J. Comput.-Support. Collab. Learn. 15(4), 469\u2013498 (2020). https:\/\/doi.org\/10.1007\/s11412-020-09333-3","journal-title":"Int. J. Comput.-Support. Collab. Learn."},{"issue":"2","key":"38_CR31","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1007\/s11412-014-9190-y","volume":"9","author":"S Trausan-Matu","year":"2014","unstructured":"Trausan-Matu, S., Dascalu, M., Rebedea, T.: PolyCAFe\u2014automatic support for the polyphonic analysis of CSCL chats. Int. J. Comput.-Support. Collab. Learn. 9(2), 127\u2013156 (2014). https:\/\/doi.org\/10.1007\/s11412-014-9190-y","journal-title":"Int. J. Comput.-Support. Collab. Learn."},{"key":"38_CR32","doi-asserted-by":"publisher","first-page":"412","DOI":"10.1002\/job.1776","volume":"33","author":"T Kim","year":"2012","unstructured":"Kim, T., McFee, E., Olguin, D.O., Waber, B., Pentland, A.: \u201cSandy\u201d: sociometric badges: using sensor technology to capture new forms of collaboration: sensor technology and collaboration in teams. J. Organ. Behav. 33, 412\u2013427 (2012). https:\/\/doi.org\/10.1002\/job.1776","journal-title":"J. Organ. Behav."},{"key":"38_CR33","doi-asserted-by":"publisher","first-page":"264","DOI":"10.1109\/TLT.2012.7","volume":"5","author":"HS Alavi","year":"2012","unstructured":"Alavi, H.S., Dillenbourg, P.: An ambient awareness tool for supporting supervised collaborative problem solving. IEEE Trans. Learn. Technol. 5, 264\u2013274 (2012). https:\/\/doi.org\/10.1109\/TLT.2012.7","journal-title":"IEEE Trans. Learn. Technol."},{"key":"38_CR34","doi-asserted-by":"publisher","first-page":"59","DOI":"10.18608\/jla.2020.71.5","volume":"7","author":"C Kent","year":"2020","unstructured":"Kent, C., Cukurova, M.: Investigating collaboration as a process with theory-driven learning analytics. J. Learn. Anal. 7, 59\u201371 (2020). https:\/\/doi.org\/10.18608\/jla.2020.71.5","journal-title":"J. Learn. Anal."},{"key":"38_CR35","doi-asserted-by":"publisher","first-page":"1046","DOI":"10.1016\/j.chb.2010.06.002","volume":"27","author":"J Janssen","year":"2011","unstructured":"Janssen, J., Erkens, G., Kirschner, P.A.: Group awareness tools: It\u2019s what you do with it that matters. Comput. Hum. Behav. 27, 1046\u20131058 (2011). https:\/\/doi.org\/10.1016\/j.chb.2010.06.002","journal-title":"Comput. Hum. Behav."},{"key":"38_CR36","doi-asserted-by":"publisher","first-page":"6337","DOI":"10.3390\/s20216337","volume":"20","author":"H Cornide-Reyes","year":"2020","unstructured":"Cornide-Reyes, H., et al.: A multimodal real-time feedback platform based on spoken interactions for remote active learning support. Sensors. 20, 6337 (2020). https:\/\/doi.org\/10.3390\/s20216337","journal-title":"Sensors."},{"key":"38_CR37","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1145\/344949.345004","volume":"7","author":"T Erickson","year":"2000","unstructured":"Erickson, T., Kellogg, W.A.: Social translucence: an approach to designing systems that support social processes. ACM Trans. Comput.-Hum. Interact 7, 59\u201383 (2000). https:\/\/doi.org\/10.1145\/344949.345004","journal-title":"ACM Trans. Comput.-Hum. Interact"},{"key":"38_CR38","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1191\/1478088706qp063oa","volume":"3","author":"V Braun","year":"2006","unstructured":"Braun, V., Clarke, V.: Using thematic analysis in psychology. Qual. Res. Psychol. 3, 77\u2013101 (2006). https:\/\/doi.org\/10.1191\/1478088706qp063oa","journal-title":"Qual. Res. Psychol."},{"key":"38_CR39","first-page":"185","volume":"19","author":"R Baker","year":"2008","unstructured":"Baker, R., Walonoski, J.A., Heffernan, N., Roll, I., Corbett, A., Koedinger, K.: Why students engage in \u201cGaming the system\u201d behavior in interactive learning environments. J. Interact. Learn. Res. 19, 185\u2013224 (2008)","journal-title":"J. Interact. Learn. Res."},{"key":"38_CR40","doi-asserted-by":"crossref","unstructured":"Prestigiacomo, R., et al.: Learning-centred translucence: an approach to understand how teachers talk about classroom data. In: Proceedings of the Tenth International Conference on Learning Analytics & Knowledge, pp. 100\u2013105. ACM, Frankfurt Germany (2020)","DOI":"10.1145\/3375462.3375475"},{"key":"38_CR41","doi-asserted-by":"crossref","unstructured":"Szostek, A.M., Karapanos, E., Eggen, B., Holenderski, M.: Understanding the implications of social translucence for systems supporting communication at work. In: Proceedings of the ACM 2008 Conference on Computer Supported Cooperative Work - CSCW 2008, p. 649. ACM Press, San Diego, CA, USA (2008)","DOI":"10.1145\/1460563.1460664"},{"key":"38_CR42","doi-asserted-by":"publisher","first-page":"142","DOI":"10.3389\/fpsyg.2017.00422","volume":"8","author":"E Panadero","year":"2017","unstructured":"Panadero, E.: A review of self-regulated learning: six models and four directions for research. Front. Psychol 8, 142 (2017). https:\/\/doi.org\/10.3389\/fpsyg.2017.00422","journal-title":"Front. Psychol"},{"issue":"4","key":"38_CR43","doi-asserted-by":"publisher","first-page":"425","DOI":"10.1007\/s11412-019-09313-2","volume":"14","author":"S J\u00e4rvel\u00e4","year":"2019","unstructured":"J\u00e4rvel\u00e4, S., J\u00e4rvenoja, H., Malmberg, J.: Capturing the dynamic and cyclical nature of regulation: methodological progress in understanding socially shared regulation in learning. Int. J. Comput.-Support. Collab. Learn. 14(4), 425\u2013441 (2019). https:\/\/doi.org\/10.1007\/s11412-019-09313-2","journal-title":"Int. J. Comput.-Support. Collab. Learn."},{"key":"38_CR44","doi-asserted-by":"publisher","DOI":"10.1002\/asi.24409","author":"S Yanovsky","year":"2020","unstructured":"Yanovsky, S., Hoernle, N., Lev, O., Gal, K.: One size does not fit all: a study of badge behavior in stack overflow. J. Assoc. Inf. Sci. Technol. n\/a (2020). https:\/\/doi.org\/10.1002\/asi.24409","journal-title":"J. Assoc. Inf. Sci. Technol. n\/a"},{"key":"38_CR45","doi-asserted-by":"publisher","first-page":"105512","DOI":"10.1016\/j.chb.2018.05.004","volume":"107","author":"G Sedrakyan","year":"2020","unstructured":"Sedrakyan, G., Malmberg, J., Verbert, K., J\u00e4rvel\u00e4, S., Kirschner, P.A.: Linking learning behavior analytics and learning science concepts: designing a learning analytics dashboard for feedback to support learning regulation. Comput. Hum. Behav. 107, 105512 (2020). https:\/\/doi.org\/10.1016\/j.chb.2018.05.004","journal-title":"Comput. Hum. Behav."},{"key":"38_CR46","doi-asserted-by":"publisher","first-page":"1439","DOI":"10.1177\/0002764213479367","volume":"57","author":"L Lockyer","year":"2013","unstructured":"Lockyer, L., Heathcote, E., Dawson, S.: Informing pedagogical action: aligning learning analytics with learning design. Am. Behav. Sci. 57, 1439\u20131459 (2013). https:\/\/doi.org\/10.1177\/0002764213479367","journal-title":"Am. Behav. Sci."},{"key":"38_CR47","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1016\/0883-0355(89)90013-X","volume":"13","author":"W Damon","year":"1989","unstructured":"Damon, W., Phelps, E.: Critical distinctions among three approaches to peer education. Int. J. Educ. Res. 13, 9\u201319 (1989). https:\/\/doi.org\/10.1016\/0883-0355(89)90013-X","journal-title":"Int. J. Educ. Res."},{"key":"38_CR48","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1016\/j.compedu.2017.08.007","volume":"116","author":"M Cukurova","year":"2018","unstructured":"Cukurova, M., Luckin, R., Mill\u00e1n, E., Mavrikis, M.: The NISPI framework: analysing collaborative problem-solving from students\u2019 physical interactions. Comput. Educ. 116, 93\u2013109 (2018). https:\/\/doi.org\/10.1016\/j.compedu.2017.08.007","journal-title":"Comput. Educ."}],"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\/978-3-030-78292-4_38","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,30]],"date-time":"2022-12-30T17:22:53Z","timestamp":1672420973000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-78292-4_38"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030782917","9783030782924"],"references-count":48,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-78292-4_38","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"11 June 2021","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":"Utrecht","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"The Netherlands","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 June 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 June 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aied2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/aied2021.science.uu.nl\/","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":"209","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":"40","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":"76","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":"19% - 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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Due to the COVID-19 pandemic the conference was held online.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}