{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T09:33:07Z","timestamp":1758274387747,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":37,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,3,13]],"date-time":"2023-03-13T00:00:00Z","timestamp":1678665600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["DRL-1920796"],"award-info":[{"award-number":["DRL-1920796"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,3,13]]},"DOI":"10.1145\/3576050.3576090","type":"proceedings-article","created":{"date-parts":[[2023,2,21]],"date-time":"2023-02-21T23:18:46Z","timestamp":1677021526000},"page":"630-636","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Informing Expert Feature Engineering through Automated Approaches: Implications for Coding Qualitative Classroom Video Data"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4570-551X","authenticated-orcid":false,"given":"Paul","family":"Hur","sequence":"first","affiliation":[{"name":"University of Illinois Urbana-Champaign, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8406-0550","authenticated-orcid":false,"given":"Nessrine","family":"Machaka","sequence":"additional","affiliation":[{"name":"University of Illinois Urbana-Champaign, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9738-4308","authenticated-orcid":false,"given":"Christina","family":"Krist","sequence":"additional","affiliation":[{"name":"University of Illinois Urbana-Champaign, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2736-2899","authenticated-orcid":false,"given":"Nigel","family":"Bosch","sequence":"additional","affiliation":[{"name":"University of Illinois Urbana-Champaign, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,3,13]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3351229"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1002\/tea.21055"},{"volume-title":"Qualitative Research for Education. Allyn & Bacon","author":"Bogdan Robert","key":"e_1_3_2_1_3_1","unstructured":"Robert Bogdan and Sari\u00a0Knopp Biklen. 1997. Qualitative Research for Education. Allyn & Bacon, Boston, MA."},{"key":"e_1_3_2_1_4_1","first-page":"55","article-title":"AutoML feature engineering for student modeling yields high accuracy, but limited interpretability","volume":"13","author":"Bosch Nigel","year":"2021","unstructured":"Nigel Bosch. 2021. AutoML feature engineering for student modeling yields high accuracy, but limited interpretability. Journal of Educational Data Mining 13, 2 (2021), 55\u201379.","journal-title":"Journal of Educational Data Mining"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/2946837"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1207\/s15327884mca1303_6"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.143"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.03.067"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1080\/02619768.2019.1693996"},{"key":"e_1_3_2_1_11_1","volume-title":"William Wiener, and Arthur Blumberg","author":"Feitler C.","year":"1970","unstructured":"Fred\u00a0C. Feitler, William Wiener, and Arthur Blumberg. 1970. The relationship between interpersonal relations orientations and preferred classroom physical settings. (1970), 18\u00a0pages."},{"key":"e_1_3_2_1_12_1","first-page":"1","article-title":"n-gage: Predicting in-class emotional, behavioural and cognitive engagement in the wild","volume":"4","author":"Gao Nan","year":"2020","unstructured":"Nan Gao, Wei Shao, Mohammad\u00a0Saiedur Rahaman, and Flora\u00a0D. Salim. 2020. n-gage: Predicting in-class emotional, behavioural and cognitive engagement in the wild. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 4, 3 (2020), 1\u201326.","journal-title":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies"},{"key":"e_1_3_2_1_13_1","volume-title":"Feature Extraction: Foundations and Applications. Vol.\u00a0207","author":"Guyon Isabelle","year":"2008","unstructured":"Isabelle Guyon, Steve Gunn, Masoud Nikravesh, and Lofti\u00a0A. Zadeh. 2008. Feature Extraction: Foundations and Applications. Vol.\u00a0207. Springer."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1002\/tea.21214"},{"key":"e_1_3_2_1_15_1","volume-title":"Proceedings of 3rd International Conference on Document Analysis and Recognition, Vol.\u00a01. IEEE, 278\u2013282","author":"Ho Tin\u00a0Kam","year":"1995","unstructured":"Tin\u00a0Kam Ho. 1995. Random decision forests. In Proceedings of 3rd International Conference on Document Analysis and Recognition, Vol.\u00a01. IEEE, 278\u2013282."},{"key":"e_1_3_2_1_17_1","volume-title":"Joint European Conference on Machine Learning and Knowledge Discovery in Databases. Springer, Cham, CH, 111\u2013120","author":"Horn Franziska","year":"2019","unstructured":"Franziska Horn, Robert Pack, and Michael Rieger. 2019. The autofeat Python library for automated feature engineering and selection. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases. Springer, Cham, CH, 111\u2013120."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3506860.3506888"},{"key":"e_1_3_2_1_19_1","volume-title":"Proceedings of the 13th International Conference on Educational Data Mining. International Educational Data Mining Society, 104\u2013114","author":"Hur Paul","year":"2020","unstructured":"Paul Hur, Nigel Bosch, Luc Paquette, and Emma Mercier. 2020. Harbingers of collaboration? The role of early-class behaviors in predicting collaborative problem solving. In Proceedings of the 13th International Conference on Educational Data Mining. International Educational Data Mining Society, 104\u2013114."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2019.00204"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-93843-1_15"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/DSAA.2015.7344858"},{"key":"e_1_3_2_1_23_1","volume-title":"Examining how classroom communities developed practice-based epistemologies for science through analysis of longitudinal video data.Journal of Educational Psychology 112, 3","author":"Krist Christina","year":"2020","unstructured":"Christina Krist. 2020. Examining how classroom communities developed practice-based epistemologies for science through analysis of longitudinal video data.Journal of Educational Psychology 112, 3 (2020), 420."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.sbspro.2011.12.091"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1080\/00220270601089199"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1080\/0305764X.2012.676629"},{"key":"e_1_3_2_1_27_1","volume-title":"Mediapipe: A framework for building perception pipelines. arXiv preprint arXiv:1906.08172(2019).","author":"Lugaresi Camillo","year":"2019","unstructured":"Camillo Lugaresi, Jiuqiang Tang, Hadon Nash, Chris McClanahan, Esha Uboweja, Michael Hays, Fan Zhang, Chuo-Ling Chang, Ming\u00a0Guang Yong, Juhyun Lee, 2019. Mediapipe: A framework for building perception pipelines. arXiv preprint arXiv:1906.08172(2019)."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-52237-7_29"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10639-020-10299-w"},{"volume-title":"Matching data-driven models of group interactions to video analysis of collaborative problem solving on tablet computers","author":"Paquette Luc","key":"e_1_3_2_1_30_1","unstructured":"Luc Paquette, Nigel Bosch, Emma Mercier, Jiyoon Jung, Saadeddine Shehab, and Yurui Tong. 2018. Matching data-driven models of group interactions to video analysis of collaborative problem solving on tablet computers. International Society of the Learning Sciences, Inc."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.5555\/1953048.2078195"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11412-011-9139-3"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"crossref","unstructured":"Penelope\u00a0L. Peterson and Susan\u00a0R. Swing. 1985. Students\u2019 cognitions as mediators of the effectiveness of small-group learning.Journal of Educational Psychology 77 3 (1985) 299.","DOI":"10.1037\/\/0022-0663.77.3.299"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1155\/2014\/484873"},{"key":"e_1_3_2_1_35_1","first-page":"12","article-title":"Classroom design as an external condition for learning","volume":"21","author":"Weinstein S.","year":"1981","unstructured":"Carol\u00a0S. Weinstein. 1981. Classroom design as an external condition for learning. Educational Technology 21, 8 (1981), 12\u201319.","journal-title":"Educational Technology"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3448139.3448144"},{"key":"e_1_3_2_1_37_1","first-page":"1","article-title":"Computer vision and machine learning for robust phenotyping in genome-wide studies","volume":"7","author":"Zhang Jiaoping","year":"2017","unstructured":"Jiaoping Zhang, Hsiang\u00a0Sing Naik, Teshale Assefa, Soumik Sarkar, R.V. Chowda\u00a0Reddy, Arti Singh, Baskar Ganapathysubramanian, and Asheesh\u00a0K. Singh. 2017. Computer vision and machine learning for robust phenotyping in genome-wide studies. Scientific Reports 7, 1 (2017), 1\u201311.","journal-title":"Scientific Reports"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11412-022-09366-w"}],"event":{"name":"LAK 2023: 13th International Learning Analytics and Knowledge Conference","acronym":"LAK 2023","location":"Arlington TX USA"},"container-title":["LAK23: 13th International Learning Analytics and Knowledge Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3576050.3576090","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3576050.3576090","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3576050.3576090","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T18:09:02Z","timestamp":1750183742000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3576050.3576090"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3,13]]},"references-count":37,"alternative-id":["10.1145\/3576050.3576090","10.1145\/3576050"],"URL":"https:\/\/doi.org\/10.1145\/3576050.3576090","relation":{},"subject":[],"published":{"date-parts":[[2023,3,13]]},"assertion":[{"value":"2023-03-13","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}