{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T04:30:12Z","timestamp":1784608212746,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":48,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,6]]},"DOI":"10.1145\/3491140.3528285","type":"proceedings-article","created":{"date-parts":[[2022,5,31]],"date-time":"2022-05-31T22:17:55Z","timestamp":1654035475000},"page":"133-141","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":13,"title":["Large-Scale Student Data Reveal Sociodemographic Gaps in Procrastination Behavior"],"prefix":"10.1145","author":[{"given":"Sunil","family":"Sabnis","sequence":"first","affiliation":[{"name":"Cornell University, Ithaca, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Renzhe","family":"Yu","sequence":"additional","affiliation":[{"name":"University of California, Irvine, Irvine, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ren\u00e9 F.","family":"Kizilcec","sequence":"additional","affiliation":[{"name":"Cornell University, Ithaca, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2022,6]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"Proceedings of The 13th International Conference on Educational Data Mining (EDM","author":"Agnihotri Lalitha","year":"2020","unstructured":"Lalitha Agnihotri, Ryan Baker, and Steve Stalzer. 2020. A Procrastination Index for Online Learning Based on Assignment Start Time. In Proceedings of The 13th International Conference on Educational Data Mining (EDM 2020). 550--554."},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1111\/jcal.12392"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1186\/s41239-020-00187--1"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/s40593-021-00285--9"},{"key":"e_1_3_2_2_5_1","volume-title":"Gender Differences in Self-Regulated Learning. Annual Meeting of the Northeastern Educational Research Association","author":"Bidjerano Temi","year":"2005","unstructured":"Temi Bidjerano. 2005. Gender Differences in Self-Regulated Learning. Annual Meeting of the Northeastern Educational Research Association (2005). https:\/\/eric.ed.gov\/?id=ED490777"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.iheduc.2015.04.007"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.18608\/jla.2019.62.1"},{"key":"e_1_3_2_2_8_1","unstructured":"Anthony P Carnevale Tamara Jayasundera and Artem Gulish. 2015. Good jobs are back: College graduates are first in line. (2015)."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compedu.2016.02.006"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3303772.3303798"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.3200\/SOCP.149.2.195-212"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.paid.2017.08.016"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.3200\/SOCP.145.3.245-264"},{"key":"e_1_3_2_2_14_1","volume-title":"belonging, and achievement: A model, interventions, implications. Current directions in psychological science 17, 6","author":"Cohen Geoffrey L","year":"2008","unstructured":"Geoffrey L Cohen and Julio Garcia. 2008. Identity, belonging, and achievement: A model, interventions, implications. Current directions in psychological science 17, 6 (2008), 365--369."},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1080\/02602938.2019.1705244"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.econedurev.2013.10.004"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1080\/13639080.2010.515969"},{"key":"e_1_3_2_2_19_1","unstructured":"Phil Hill. 2021. State of Higher Ed LMS Market for US and Canada: Year-End 2020 Edition. https:\/\/philonedtech.com\/state-of-higher-ed-lms-market-for-us-and-canada-year-end-2020-edition\/"},{"key":"e_1_3_2_2_20_1","volume-title":"Prediction and explanation in social systems. Science 355, 6324","author":"Hofman Jake M","year":"2017","unstructured":"Jake M Hofman, Amit Sharma, and Duncan J Watts. 2017. Prediction and explanation in social systems. Science 355, 6324 (2017), 486--488."},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3105726.3106180"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.paid.2015.02.038"},{"key":"e_1_3_2_2_23_1","volume-title":"Algorithmic fairness in education. arXiv preprint arXiv:2007.05443","author":"Kizilcec Ren\u00e9 F","year":"2020","unstructured":"Ren\u00e9 F Kizilcec and Hansol Lee. 2020. Algorithmic fairness in education. arXiv preprint arXiv:2007.05443 (2020)."},{"key":"e_1_3_2_2_24_1","volume-title":"Self-regulated learning strategies predict learner behavior and goal attainment in Massive Open Online Courses. Computers & education 104","author":"Kizilcec Ren\u00e9 F","year":"2017","unstructured":"Ren\u00e9 F Kizilcec, Mar P\u00e9rez-Sanagust\u00edn, and Jorge J Maldonado. 2017. Self-regulated learning strategies predict learner behavior and goal attainment in Massive Open Online Courses. Computers & education 104 (2017), 18--33."},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/2460296.2460330"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.iheduc.2020.100727"},{"key":"e_1_3_2_2_27_1","volume-title":"Efficacy-performing spirals: A multilevel perspective","author":"Lindsley Dana H","year":"1995","unstructured":"Dana H Lindsley, Daniel J Brass, and James B Thomas. 1995. Efficacy-performing spirals: A multilevel perspective. Academy of management review 20, 3 (1995), 645--678."},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1080\/02602938.2019.1679088"},{"key":"e_1_3_2_2_29_1","volume-title":"Linking stereotype threat and anxiety. Educational psychology 27, 1","author":"Osborne Jason W","year":"2007","unstructured":"Jason W Osborne. 2007. Linking stereotype threat and anxiety. Educational psychology 27, 1 (2007), 135--154."},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.5281\/zenodo.4143612"},{"key":"e_1_3_2_2_31_1","volume-title":"Proceedings of the 11th International Conference on Educational Data Mining (EDM","author":"Park Jihyun","year":"2018","unstructured":"Jihyun Park, Renzhe Yu, Fernando Rodriguez, Rachel Baker, Padhraic Smyth, and Mark Warschauer. 2018. Understanding Student Procrastination via Mixture Models. In Proceedings of the 11th International Conference on Educational Data Mining (EDM 2018). Buffalo, NY, United States, 187--197. https:\/\/files.eric.ed.gov\/fulltext\/ED593094.pdf"},{"key":"e_1_3_2_2_32_1","volume-title":"A conceptual framework for assessing motivation and self-regulated learning in college students. Educational psychology review 16, 4","author":"Pintrich Paul R","year":"2004","unstructured":"Paul R Pintrich. 2004. A conceptual framework for assessing motivation and self-regulated learning in college students. Educational psychology review 16, 4 (2004), 385--407."},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3303772.3303841"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","unstructured":"Henri C. Schouwenburg. 1995. Academic Procrastination. Springer US Boston MA 71--96. https:\/\/doi.org\/10.1007\/978--1--4899-0227--6_4","DOI":"10.1007\/978--1--4899-0227--6_4"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1037\/0022-0167.31.4.503"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1006\/jesp.1998.1373"},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1037\/0033--2909.133.1.65"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1111\/ap.12173"},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.1037\/0022-3514.69.5.797"},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1177\/0963721418806506"},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.18608\/hla22.020"},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"publisher","DOI":"10.1023\/B:RIHE.0000010047.46814.78"},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/3506860.3506900"},{"key":"e_1_3_2_2_44_1","unstructured":"Philip H Winne. 2011. A cognitive and metacognitive analysis of self-regulated learning. In Handbook of self-regulation of learning and performance. 15--32."},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/3448139.3448210"},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10648-020-09519-z"},{"key":"e_1_3_2_2_47_1","volume-title":"Proceedings of the 13th Conference on Educational Data Mining (EDM2020)","author":"Yao Mengfan","year":"2020","unstructured":"Mengfan Yao, Shaghayegh Sahebi, and Reza Feyzi Behnagh. 2020. Analyzing student procrastination in MOOCs: a multivariate Hawkes approach. In Proceedings of the 13th Conference on Educational Data Mining (EDM2020)."},{"key":"e_1_3_2_2_48_1","first-page":"64","article-title":"Examining the effect of academic procrastination on achievement using LMS data in e-learning","volume":"18","author":"You Ji Won","year":"2015","unstructured":"Ji Won You. 2015. Examining the effect of academic procrastination on achievement using LMS data in e-learning. Journal of Educational Technology & Society 18, 3 (2015), 64--74.","journal-title":"Journal of Educational Technology & Society"},{"key":"e_1_3_2_2_49_1","doi-asserted-by":"publisher","DOI":"10.1207\/s15326985ep2501_2"}],"event":{"name":"L@S '22: Ninth (2022) ACM Conference on Learning @ Scale","location":"New York City NY USA","acronym":"L@S '22"},"container-title":["Proceedings of the Ninth ACM Conference on Learning @ Scale"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3491140.3528285","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3491140.3528285","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:30:55Z","timestamp":1750188655000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3491140.3528285"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6]]},"references-count":48,"alternative-id":["10.1145\/3491140.3528285","10.1145\/3491140"],"URL":"https:\/\/doi.org\/10.1145\/3491140.3528285","relation":{},"subject":[],"published":{"date-parts":[[2022,6]]},"assertion":[{"value":"2022-06-01","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}