Student profiling in a dispositional learning analytics application using formative assessment

Abstract

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Technology-enhanced Feedback Profiles and their Associations with Learning and Academic Well-being Indicators in Basic Education

“…Jeno and colleagues (2017) found that technology-enhanced feedback improved learning and well-being when feedback was related to 3 / 15 competence. Tempelaar, Rienties, Mittelmeier and Nguyen (2018) concluded that learning analytics and profiling help to identify learners needing support and to tailor efficient technology-enhanced feedback.…”

A multi-modal study into students’ timing and learning regulation: time is ticking

“…To this framework, we have added Academic buoyancy from a later publication (Martin and Marsh, 2008). See Tempelaar et al (2015Tempelaar et al ( , 2018 for further elaboration.…”

“…Students are positioned in the spectrum from self-regulation as the main mechanism, to external regulation. The scales are Selfregulation of learning processes and learning content, External-regulation of learning processes and learning results, and Lack of regulation (Tempelaar et al, 2015(Tempelaar et al, , 2018Vermunt, 1996). RQ2 What learning dispositions act as antecedents for these timing decisions, in other words students' learning regulation?…”

“…Students' preferred learning approaches are examples of such dispositions of both cognitive and behavioural type. In a series of studies (Nguyen et al, 2016;Tempelaar et al, 2015Tempelaar et al, , 2017aTempelaar et al, , 2017bTempelaar et al, , 2018 we have analysed bi-modal data derived from a first-year introductory course mathematics and statistics, offered in blended mode, in which several survey instruments were applied, that cover learning dispositions thought to be important in self-regulated learning. Students' preferences for alternative feedback modes, distinguishing between learners who prefer worked-out examples, tutored problem-solving or untutored problem-solving and investigating the role of learning dispositions as an antecedent of these preferences, was one of the aims of these studies.…”

Learning analytics for IoE based educational model using deep learning techniques: architecture, challenges and applications

“…The researchers in (Atherton et al, 2017) discussed the importance of tracing the physical movements to be incorporated in the learning analytics in order to achieve better understanding of in-class activities. Mirella Atherton et al (Tempelaar et al, 2018) conducted the study aimed at finding the correlation between the online study approach and its positive effects on attainments of the learners. Dirk Tempelar et al (Ravi et al, 2017) provided an empirical study aimed at showcasing how "learning decomposition data" can be used to deliver (Walker, 2012) proposed a methodology using the deep learning techniques to capture sensor data and perform analysis to predict real time activity classification.…”