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

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

open access, Publication, Study — April 15, 2020
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…
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Open Learning Analytics Indicator Repository (OpenLAIR)

Open Learning Analytics Indicator Repository (OpenLAIR)

open access, Publication, Study — March 28, 2020
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…
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Fellowship Of The Learning Activity Learning Analytics (FoLA2)

Fellowship Of The Learning Activity Learning Analytics (FoLA2)

Game, open access, Project, Workshop — March 27, 2020
In the last years, research to connect learning analytics to learning design has been on the rise, but there still are a number of steps that need to be taken in order to make a workable connection between learning analytics and learning design. To improve the quality it is important to capture andstructure the design choices and to retrieve data on the behavior, the effects and the opinions about the designed learning activities. In an effort to get (1) input on the learning design choices of learning activities and (2) bridge the gap between learning analytics and learning design, a board game has been developed. The Fellowship of the Learning Activity is a serious game that captures and systematizes the learning design of learning activities. Additionally, the game brings awareness…
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German Code of Conduct for Learning Analytics

German Code of Conduct for Learning Analytics

open access, Publication — March 26, 2020
Verhaltenskodex zur Anwendung von Learning Analytics Für besseres Lehren und Lernen an der Hochschule: Studierendendaten verantwortungsvoll einsetzen Mit neuen Techniken können Hochschulen inzwischen Daten, die Studierende während digitaler Lernprozesse generieren, dazu einsetzen, die Lernenden beim Erreichen ihrer Studienziele zu unterstützen. Dieses Vorgehen wird Learning Analytics genannt. Es erfordert jedoch einen verantwortungsbewussten und ethisch angemessenen Umgang mit den Daten. Dabei kann eine Selbstverpflichtung helfen. Hierfür stellen das DIPF | Leibniz-Institut für Bildungsforschung und Bildungsinformation, die Goethe-Universität Frankfurt und die TU Darmstadt interessierten Hochschulen jetzt eine strukturierte Vorlage bereit: den „Verhaltenskodex für Trusted Learning Analytics“.  „Der Verhaltenskodex ist für Hochschulen gedacht, die sich als lernende Organisation verstehen und mittels Learning Analytics die Qualität des Lehrens und Lernens verbessern wollen“, sagt Hendrik Drachsler, Professor für Educational Technologies am DIPF und an der Goethe-Universität.…
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What is Learning Analytics? Just in time for the LAK20  online conference DIPF  eduserver compiled a dossier about learning anaylics

What is Learning Analytics? Just in time for the LAK20 online conference DIPF eduserver compiled a dossier about learning anaylics

Conference, open access, Publication — March 24, 2020
Find out more about the definitions of learning analytics, the scientific societies, networks, projects, conferences, critical voices and learning analytics internationally in the dossier of the German eduserver: https://www.bildungsserver.de/Learning-Analytics-an-International-Overview-7514_eng.html
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Assessing the validity of a learning analytics expectation instrument: A multinational study

Assessing the validity of a learning analytics expectation instrument: A multinational study

open access, Publication — January 24, 2020
To assist higher education institutions in meeting the challenge of limited student engagement in the implementation of Learning Analytics services, the Questionnaire for Student Expectations of Learning Analytics (SELAQ) was developed. This instrument contains 12 items, which are explained by a purported two‐factor structure of “Ethical and Privacy Expectations” and “Service Feature Expectations.” As it stands, however, the SELAQ has only been validated with students from UK university, which is problematic on account of the interest in Learning Analytics extending beyond this context. Thus, the aim of the current work was to assess whether the translated SELAQ can be validated in three contexts (an Estonian, a Spanish, and a Dutch University). The findings show that the model provided acceptable fits in both the Spanish and Dutch samples, but was not…
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Policy matters: Expert recommendations for learning analytics policy

Policy matters: Expert recommendations for learning analytics policy

Conference, open access, Publication — September 9, 2019
Interest in learning analytics (LA) has grown rapidly among higher education institutions (HEIs). However, the maturity levels of HEIs in terms of being ‘student data-informed’ are only at early stages. There often are barriers that prevent data from being used systematically and effectively. To assist higher education institutions to become more mature users and custodians of digital data collected from students during their online learning activities, the SHEILA framework, a policy development framework that supports systematic, sustainable and responsible adoption of LA at an institutional level, was recently built. This paper presents a mix-method study using a group concept mapping (GCM) approach that was conducted with LA experts to explore essential features of LA policy in HEI in contribution the development of the framework. The study identified six clusters of…
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Dancing salsa with machines– filling the gap of dancing learning solutions

Dancing salsa with machines– filling the gap of dancing learning solutions

open access, Publication — August 23, 2019
Dancing is an activity that positively enhances the mood of people that consists of feeling the music and expressing it in rhythmic movements with the body. Learning how to dance can be challenging because it requires proper coordination and understanding of rhythm and beat. In this paper, we present the first implementation of the Dancing Coach (DC), a generic system designed to support the practice of dancing steps, which in its current state supports the practice of basic salsa dancing steps. However, the DC has been designed to allow the addition of more dance styles. We also present the first user evaluation of the DC, which consists of user tests with 25 participants. Results from the user test show that participants stated they had learned the basic salsa dancing steps,…
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Beyond Reality – Extending a Presentation Trainer with an Immersive VR Module

Beyond Reality – Extending a Presentation Trainer with an Immersive VR Module

open access, Publication — August 7, 2019
Schneider, J., Romano, G., & Drachsler, H. (2019). Beyond Reality—Extending a Presentation Trainer with an Immersive VR Module. Sensors, 19(16), 3457. The development of multimodal sensor-based applications designed to support learners with the improvement of their skills is expensive since most of these applications are tailor-made and built from scratch. In this paper, we show how the Presentation Trainer (PT), a multimodal sensor-based application designed to support the development of public speaking skills, can be modularly extended with a Virtual Reality real-time feedback module (VR module), which makes usage of the PT more immersive and comprehensive. The described study consists of a formative evaluation and has two main objectives. Firstly, a technical objective is concerned with the feasibility of extending the PT with an immersive VR Module. Secondly, a user experience objective focuses…
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Detecting Mistakes in CPR Training with Multimodal Data and Neural Networks

Detecting Mistakes in CPR Training with Multimodal Data and Neural Networks

open access, Publication — July 13, 2019
This study investigated to what extent multimodal data can be used to detect mistakes during Cardiopulmonary Resuscitation (CPR) training. We complemented the Laerdal QCPR ResusciAnne manikin with the Multimodal Tutor for CPR, a multi-sensor system consisting of a Microsoft Kinect for tracking body position and a Myo armband for collecting electromyogram information. We collected multimodal data from 11 medical students, each of them performing two sessions of two-minute chest compressions (CCs). We gathered in total 5254 CCs that were all labelled according to five performance indicators, corresponding to common CPR training mistakes. Three out of five indicators, CC rate, CC depth and CC release, were assessed automatically by the ReusciAnne manikin. The remaining two, related to arms and body position, were annotated manually by the research team. We trained five…
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