{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T19:41:14Z","timestamp":1772826074758,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":37,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,3,4]],"date-time":"2019-03-04T00:00:00Z","timestamp":1551657600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,3,4]]},"DOI":"10.1145\/3303772.3303782","type":"proceedings-article","created":{"date-parts":[[2019,2,25]],"date-time":"2019-02-25T13:32:31Z","timestamp":1551101551000},"page":"511-520","source":"Crossref","is-referenced-by-count":23,"title":["Introducing meaning to clicks"],"prefix":"10.1145","author":[{"given":"Jelena","family":"Jovanovi\u0107","sequence":"first","affiliation":[{"name":"University of Belgrade, Belgrade, Serbia"}]},{"given":"Dragan","family":"Ga\u0161evi\u0107","sequence":"additional","affiliation":[{"name":"Monash University, Melbourne, VIC, Australia"}]},{"given":"Abelardo","family":"Pardo","sequence":"additional","affiliation":[{"name":"Division of IT, Engineering and the Environment, University of South Australia, Adelaide, SA, Australia"}]},{"given":"Shane","family":"Dawson","sequence":"additional","affiliation":[{"name":"Teaching Innovation Unit, University of South Australia, Adelaide, SA, Australia"}]},{"given":"Alexander","family":"Whitelock-Wainwright","sequence":"additional","affiliation":[{"name":"School of Psychology, University of Liverpool, Liverpool, United Kingdom"}]}],"member":"320","published-online":{"date-parts":[[2019,3,4]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/0749-5978(91)90022-L"},{"key":"e_1_3_2_1_2_1","article-title":"Fitting Linear Mixed-Effects Models Using lme4","volume":"1","author":"Bates D.","year":"2015","journal-title":"Journal of Statistical Software;"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1111\/jcal.12292"},{"key":"e_1_3_2_1_4_1","volume-title":"Learning Strategies: An Analytical Method for Extracting Interpretable Representations","author":"Fincham O.E.","year":"2018"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1037\/ccp0000026"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.18608\/jla.2017.42.10"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"crossref","unstructured":"Gatta R. Lenkowicz J. Vallati M. Rojas E. Damiani A. Sacchi L. Bari B.D. etal 2017. pMineR: An Innovative R Library for Performing Process Mining in Medicine. Artificial Intelligence in Medicine (Jun. 2017) 351--355. Gatta R. Lenkowicz J. Vallati M. Rojas E. Damiani A. Sacchi L. Bari B.D. et al. 2017. pMineR: An Innovative R Library for Performing Process Mining in Medicine. Artificial Intelligence in Medicine (Jun. 2017) 351--355.","DOI":"10.1007\/978-3-319-59758-4_42"},{"key":"e_1_3_2_1_8_1","first-page":"6","article-title":"Timing and Frequency of Mental Effort Measurement: Evidence in Favour of Repeated Measures","volume":"26","author":"Gog T.","year":"2012","journal-title":"Applied Cognitive Psychology."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11409-007-9016-7"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1468-2958.2006.00281.x"},{"key":"e_1_3_2_1_11_1","first-page":"3","article-title":"Comparing Self-Reports to Traces of Studying Behavior as Representations of Students","volume":"17","author":"Jamieson-Noel D.","year":"2003","journal-title":"Studying and Achievement. German Journal of Educational Psychology."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"crossref","unstructured":"Jovanovi\u0107 J. Ga\u0161evi\u0107 D. Dawson S. Pardo A. and Mirriahi N. 2017. Learning analytics to unveil learning strategies in a flipped classroom. The Internet and Higher Education. 33 Supplement C (Apr. 2017) 74--85. Jovanovi\u0107 J. Ga\u0161evi\u0107 D. Dawson S. Pardo A. and Mirriahi N. 2017. Learning analytics to unveil learning strategies in a flipped classroom. The Internet and Higher Education. 33 Supplement C (Apr. 2017) 74--85.","DOI":"10.1016\/j.iheduc.2017.02.001"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"crossref","unstructured":"Kovanovi\u0107 V. Joksimovi\u0107 S. Poquet O. Hennis T. de Vries P. Hatala M. Dawson S. Siemens G. and Ga\u0161evi\u0107 D. 2018. Examining communities of inquiry in massive Open Online Courses: The role of study strategies. The Internet and Higher Education. Kovanovi\u0107 V. Joksimovi\u0107 S. Poquet O. Hennis T. de Vries P. Hatala M. Dawson S. Siemens G. and Ga\u0161evi\u0107 D. 2018. Examining communities of inquiry in massive Open Online Courses: The role of study strategies. The Internet and Higher Education.","DOI":"10.1016\/j.compedu.2017.11.010"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"Li N. Kidzi\u0144ski \u0141t. Jermann P. and Dillenbourg P. 2015. MOOC Video Interaction Patterns: What Do They Tell Us? Design for Teaching and Learning in a Networked World. Springer Cham. 197--210. Li N. Kidzi\u0144ski \u0141t. Jermann P. and Dillenbourg P. 2015. MOOC Video Interaction Patterns: What Do They Tell Us? Design for Teaching and Learning in a Networked World. Springer Cham. 197--210.","DOI":"10.1007\/978-3-319-24258-3_15"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.chb.2013.03.014"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.chb.2011.12.009"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compedu.2011.05.010"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compedu.2009.09.008"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1080\/02602938.2015.1044421"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1207\/s15366359mea0204_1"},{"key":"e_1_3_2_1_21_1","first-page":"2","article-title":"A general and simple method for obtaining R2 from generalized linear mixed-effects models","volume":"4","author":"Nakagawa S.","year":"2012","journal-title":"Methods in Ecology and Evolution."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1080\/07421222.2005.11045823"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1207\/S15326985EP3801_8"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"crossref","unstructured":"Pardo A. and Mirriahi N. 2017. Design Deployment and Evaluation of a Flipped Learning First-Year Engineering Course. The Flipped Classroom: Practice and Practices in Higher Education. C. Reidsema L. Kavanagh R. Hadgraft and N. Smith eds. Springer Singapore. 177--191. Pardo A. and Mirriahi N. 2017. Design Deployment and Evaluation of a Flipped Learning First-Year Engineering Course. The Flipped Classroom: Practice and Practices in Higher Education. C. Reidsema L. Kavanagh R. Hadgraft and N. Smith eds. Springer Singapore. 177--191.","DOI":"10.1007\/978-981-10-3413-8_11"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1037\/0022-0663.82.1.33"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1037\/0033-2909.130.2.261"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11251-014-9328-3"},{"key":"e_1_3_2_1_28_1","unstructured":"Schunk D.H. and Pajares F. 2009. Self-efficacy theory. Handbook of motivation at school. Routledge\/Taylor & Francis Group. 35--53. Schunk D.H. and Pajares F. 2009. Self-efficacy theory. Handbook of motivation at school. Routledge\/Taylor & Francis Group. 35--53."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"crossref","unstructured":"Sweller J. Ayres P. and Kalyuga S. 2011. Measuring Cognitive Load. In Cognitive Load Theory. J. Sweller P. Ayres and S. Kalyuga eds. Springer New York. 71--85. Sweller J. Ayres P. and Kalyuga S. 2011. Measuring Cognitive Load. In Cognitive Load Theory. J. Sweller P. Ayres and S. Kalyuga eds. Springer New York. 71--85.","DOI":"10.1007\/978-1-4419-8126-4_6"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1022193728205"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1177\/016146811711900305","article-title":"Leveraging big data to help each learner and accelerate learning science","volume":"119","author":"Winne P.H.","year":"2017","journal-title":"Teachers College Record."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0361-476X(02)00006-1"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"crossref","unstructured":"Winne P.H. and Perry N.E. 2000. Chapter 16 - Measuring Self-Regulated Learning. Handbook of Self-Regulation. M. Boekaerts P.R. Pintrich and M. Zeidner eds. Academic Press. 531--566. Winne P.H. and Perry N.E. 2000. Chapter 16 - Measuring Self-Regulated Learning. Handbook of Self-Regulation. M. Boekaerts P.R. Pintrich and M. Zeidner eds. Academic Press. 531--566.","DOI":"10.1016\/B978-012109890-2\/50045-7"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11251-012-9230-9"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.edurev.2006.08.005"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.learninstruc.2012.03.004"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1006\/ceps.1999.1016"}],"event":{"name":"LAK19: The 9th International Learning Analytics & Knowledge Conference","location":"Tempe AZ USA","acronym":"LAK19","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SoLAR The Society for Learning Analytics Research","SIGCHI ACM Special Interest Group on Computer-Human Interaction"]},"container-title":["Proceedings of the 9th International Conference on Learning Analytics &amp; Knowledge"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3303772.3303782","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/dl.acm.org\/ft_gateway.cfm?id=3303782&ftid=2041035&dwn=1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:53:39Z","timestamp":1750204419000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3303772.3303782"}},"subtitle":["Towards traced-measures of self-efficacy and cognitive load"],"short-title":[],"issued":{"date-parts":[[2019,3,4]]},"references-count":37,"alternative-id":["10.1145\/3303772.3303782","10.1145\/3303772"],"URL":"https:\/\/doi.org\/10.1145\/3303772.3303782","relation":{},"subject":[],"published":{"date-parts":[[2019,3,4]]}}}