Empirical Study Archives - Page 3 of 3

Jul82020 by Prof. Dr. Hendrik DrachslerNo Comments

Towards Real-Time Multimodal Feedback with the CPR Tutor

Conference, Empirical Study, Open access

We developed the CPR Tutor, a real-time multimodal feedback system for cardiopulmonary resuscitation (CPR) training. The CPR Tutor detects mistakes using recurrent neural networks for real-time time-series classification. From a multimodal data stream consisting of kinematic and electromyographic data, the CPR Tutor system automatically detects the chest compressions, which are then classified and assessed according to five performance indicators. Based on this assessment, the CPR Tutor provides audio feedback to correct the most critical mistakes and improve the CPR performance. To test the validity of the CPR Tutor, we first collected the data corpus from 10 experts used for model training. Hence, to test the impact of the feedback functionality, we ran a user study involving 10 participants. The CPR Tutor pushes forward the current state of the art of…

May212020 by Prof. Dr. Hendrik DrachslerNo Comments

Learning analytics in European higher education–trends and barriers

Empirical Study, Publication

Learning analytics (LA) as a research field has grown rapidly over the last decade. However, adoption of LA is mostly found to be small in scale and isolated at the instructor level. This paper presents an exploratory study on institutional approaches to LA in European higher education and discusses prominent challenges that impede LA from reaching its potential. Based on a series of consultations with senior managers from 83 different higher education institutions in 24 European countries, we observe that LA is primarily perceived as a tool to enhance teaching and institutional management. As a result, teaching and support staff are found to be the main users of LA and the target audience of training support. In contrast, there is little evidence of active engagement with students or using LA…

Apr152020 by Prof. Dr. Hendrik DrachslerNo Comments

Tracking Patterns in Self-Regulated Learning Using Students’ Self-Reports and Online Trace Data

Empirical Study, Open access, Publication

For decades, self-report instruments – which rely heavily on students’ perceptions and beliefs – have been the dominant way of measuring motivation and strategy use. Event-based measures based on online trace data arguably has the potential to remove analytical restrictions of self-report measures. The purpose of this study is therefore to triangulate constructs suggested in theory and measured using self-reported data with revealed online traces of learning behaviour. The results show that online trace data of learning behaviour are complementary to self-reports, as they explained a unique proportion of variance in student academic performance. The results also reveal that self-reports explain more variance in online learning behaviour of prior weeks than variance in learning behaviour in succeeding weeks. Student motivation is, however, to a lesser extent captured with online trace…

Mar282020 by Atezaz AhmadNo Comments

Open Learning Analytics Indicator Repository (OpenLAIR)

Empirical Study, Open access, Publication

Open Learning Analytics Indicator Repository in short OpenLAIR is a system whose frontend consists of a dashboard. This dashboard will provide an interface that filters out the list of indicators and their metrics that can be used for a particular activity. All our results will be based on the literature that we have conducted previously. Our dashboard will contain learning events, learning activities, indicators, and metrics. Where Learning Event is learning or teaching event occurs during a learner’s activity or a teacher’s activity. Leclercq and Poumay identified eight learning events: create, explore, practice, imitate, receive, debate, meta-learn, and experiment. (Learning) activity is an activity where an action that the learner does in an LMS environment, for example, posting, discussing, uploading, etc. (Duval, 2011). Usually, in the LMS environment, all these…

Nov132019 by Prof. Dr. Hendrik DrachslerNo Comments

Aufruf zur Teilnahme: Was erwartest du von einer digitalen Hochschule?

Empirical Study, Project

Das Thema Learning Analytics gewinnt zunehmend an Bedeutung in der Bildungsforschung und Bildungspolitik. Darunter versteht man das Erheben, Sammeln und Analysieren von bildungsbezogenen Daten an Universitäten, mit dem Ziel die Lernenden besser zu verstehen und sie optimal beim Lernen zu unterstützen. Für welche Zwecke sollen Deine Daten genutzt werden? Welche Services könnten dich bei einem erfolgreichen Studium unterstützen? Welche Daten sollen nicht verwendet werden? Weil Studierende am meisten von dieser Weiterentwicklung betroffen sind, wollen wir - das digLL-Projekt - mehr über Eure Meinung erfahren.Studie

Nov212018 by Atezaz AhmadNo Comments

DELTA – Towards Digital Education with modern Learning Technologies and Assesment approaches

Empirical Study

Im Rahmen des DELTA-Projekts wurde vom 23. Oktober bis zum 19. November 2018 eine »Expert Group Concept Mapping«-Studie durchgeführt, die untersuchen soll, was Erfolgskriterien für die Entwicklung einer digitalen Bildungsinfrastruktur an der Goethe-Universität sind. Die Auswertungen finden in den nächsten Wochen statt, die Ergebnisse werden am 13. Dezember 2018 beim »eLearning Netzwerktag« der Goethe-Universität vorgestellt.