Bedarfsanalyse zur Darstellung von Daten im Bereich Learning Analytics aus Lernenden-Sicht

Learning Analytics beschreibt das Messen, Sammeln, Analysieren und Berichten von Daten, um Lernprozesse verstehen und verbessern zu können (Siemens und Long 2011). Eng verwandt mit Learning Analytics sind die Bereiche Academic Analytics und Educational Data Mining, die mit jeweils unterschiedlicher Ausrichtung ebenso die datenbasierte Überprüfung, Vorhersage und Änderung von akademischen Prozessen untersuchen (Baepler und Murdoch 2010). In diesem Beitrag fokussieren wir entsprechende Benutzungsschnittstellen, welche die gesammelten Daten visualisieren und verfügbar machen. ... [Aus: Einleitung

D3.1 Framework of Quality Indicators

D3.1 Framework of Quality Indicators. LACE Projec

Evaluating emotion visualizations using AffectVis, an affect-aware dashboard for students

Purpose: The purpose of this paper is to evaluate four visualizations that represent affective states of students. Design/methodology/approach: An empirical-experimental study approach was used to assess the usability of affective state visualizations in a learning context. The first study was conducted with students who had knowledge of visualization techniques (n=10). The insights from this pilot study were used to improve the interpretability and ease of use of the visualizations. The second study was conducted with the improved visualizations with students who had no or limited knowledge of visualization techniques (n=105). Findings: The results indicate that usability, measured by perceived usefulness and insight, is overall acceptable. However, the findings also suggest that interpretability of some visualizations, in terms of the capability to support emotional awareness, still needs to be improved. The level of students" awareness of their emotions during learning activities based on the visualization interpretation varied depending on previous knowledge of information visualization techniques. Awareness was found to be high for the most frequently experienced emotions and activities that were the most frustrating, but lower for more complex insights such as interpreting differences with peers. Furthermore, simpler visualizations resulted in better outcomes than more complex techniques. Originality/value: Detection of affective states of students and visualizations of these states in computer-based learning environments have been proposed to support student awareness and improve learning. However, the evaluation of visualizations of these affective states with students to support awareness in real life settings is an open issue.The work is partially supported by the eMadrid project (funded by the Regional Government of Madrid) under grant no S2013/ICE-2715, and the RESET project (Ministry of Economy and Competitiveness) under grant RESET TIN2014-53199-C3-1-R. The research is partially financed by the SURF Foundation of the Netherlands and the KU Leuven Research Council (Grant Agreement No C24/16/017, PDM16/044)

Exploring the Possibilities of Using Project Management Methodologies in the 21st Century Education

One of the reasons why education in the 21st century is different, is the use of technology to enhance learning. In this context, proper project management methodology that individualize learning and makes students take responsibility for their own learning, reflect and evaluate their own learning processes, must be implemented. The educational process is approached as a result of the project management methodology considering previous experiences regarding education projects and exploring the possibilities of adapting to the dynamics of the digital age. A successful education process delivers effective learning being designed in order to enhance it. In the context of the research, Web 2.0 tools proved to be useful educational tools with significant results especially when integrating elements of Google Analytics and Gamification. So, the article proposes a framework for integrating a mixture of Web 2.0, Google Analytics and Gamification in the educational process

Evaluating emotion visualizations using AffectVis, an affect-aware dashboard for students

Purpose - The purpose of this paper is to evaluate four visualizations that represent affective states of students. Design/methodology/approach - An empirical-experimental study approach was used to assess the usability of affective state visualizations in a learning context. The first study was conducted with students who had knowledge of visualization techniques (n=10). The insights from this pilot study were used to improve the interpretability and ease of use of the visualizations. The second study was conducted with the improved visualizations with students who had no or limited knowledge of visualization techniques (n=105). Findings - The results indicate that usability, measured by perceived usefulness and insight, is overall acceptable. However, the findings also suggest that interpretability of some visualizations, in terms of the capability to support emotional awareness, still needs to be improved. The level of students’ awareness of their emotions during learning activities based on the visualization interpretation varied depending on previous knowledge of information visualization techniques. Awareness was found to be high for the most frequently experienced emotions and activities that were the most frustrating, but lower for more complex insights such as interpreting differences with peers. Furthermore, simpler visualizations resulted in better outcomes than more complex techniques. Originality/value - Detection of affective states of students and visualizations of these states in computer-based learning environments have been proposed to support student awareness and improve learning. However, the evaluation of visualizations of these affective states with students to support awareness in real life settings is an open issue

Monitoring, Awareness and Reflection in Blended Technology Enhanced Learning: a Systematic Review

Education is experiencing a paradigm shift towards blended learning models in technology-enhanced learning (TEL). Despite the potential benefits of blended learning, it also entails additional complexity in terms of monitoring, awareness and reflection, as learning happens across different spaces and modalities. In recent years, literature on Learning Analytics (LA) and Educational Data Mining (EDM) has gained momentum and started to address the issue. To provide a clear picture of the current state of the research on the topic and to outline open research gaps, this paper presents a systematic literature review of the state-of-the-art of research in LA and EDM on monitoring, awareness and reflection in blended TEL scenarios. The search included six main academic databases in TEL that were enriched with the proceedings of the workshop on ’Awareness and Reflection in TEL’ (ARTEL), resulting in 1089 papers out of which 40 papers were included in the final analysis

Monitoring, Awareness and Reflection in Blended Technology Enhanced Learning: a Systematic Review

Education is experiencing a paradigm shift towards blended learning models in technology-enhanced learning (TEL). Despite the potential benefits of blended learning, it also entails additional complexity in terms of monitoring, awareness and reflection, as learning happens across different spaces and modalities. In recent years, literature on Learning Analytics (LA) and Educational Data Mining (EDM) has gained momentum and started to address the issue. To provide a clear picture of the current state of the research on the topic and to outline open research gaps, this paper presents a systematic literature review of the state-of-the-art of research in LA and EDM on monitoring, awareness and reflection in blended TEL scenarios. The search included six main academic databases in TEL that were enriched with the proceedings of the workshop on ’Awareness and Reflection in TEL’ (ARTEL), resulting in 1089 papers out of which 40 papers were included in the final analysis