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Subjective data, objective data and the role of bias in predictive modelling: Lessons from a dispositional learning analytics application

, , and . PLOS ONE, 15 (6): 1-29 (June 2020)
DOI: 10.1371/journal.pone.0233977

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Subjective data, objective data and the role of bias in predictive modelling: Lessons from a dispositional learning analytics application, , and . PLOS ONE, 15 (6): 1-29 (June 2020)A review of the role of information communication technology and course design in transitional education practices., , , , , , , and . Interact. Learn. Environ., 20 (6): 563-581 (2012)Enabling Precision Education by Learning Analytics Applying Trace, Survey and Assessment Data., , and . ICALT, page 355-359. IEEE, (2021)Formative assessment and learning analytics., , , , and . LAK, page 205-209. ACM, (2013)Analysing the Use of Worked Examples and Tutored and Untutored Problem-Solving in a Dispositional Learning Analytics Context., , and . CSEDU (2), page 38-47. SciTePress, (2019)Unpacking the intertemporal impact of self-regulation in a blended mathematics environment., , , and . Comput. Hum. Behav., (2019)The role of scaffolding and motivation in CSCL., , , , , and . Comput. Educ., 59 (3): 893-906 (2012)Writing Analytics for Epistemic Features of Student Writing., , , , and . ICLS, International Society of the Learning Sciences, (2016)An invisible preference for intrinsic motivation in computer-mediated communication., , , , and . ICLS (1), page 25-32. International Society of the Learning Sciences / ACM DL, (2010)The Diverging Effects of Social Network Sites on Receiving Job Information for Students and Professionals., , , , and . Int. J. Sociotechnology Knowl. Dev., 2 (4): 39-53 (2010)