February 2023 - EduTec Science

Feb272023 by Atezaz AhmadNo Comments

Book Chapter – A Trusted Learning Analytics Dashboard for Displaying OER

Book, Book chapter, Learning Analytics, Open access, Project, Report

Abstract Learning Analytics (LA) consists of miscellaneous steps that include data harvesting, storing, cleaning, anonymisation, mining, analysis, and visualisation so that the vast amount of educational data is comprehensible and ethically utilisable by educators or instructors to obtain the advantages and benefits that LA can bring to the educational scene. These include the potential to increase learning experiences and reduce dropout rates. In this chapter, we shed light on OER repositories, LA, and LA dashboards and present an implementation of a research-driven LA dashboard for displaying OER and their repositories that allows the visualisation of educational data in an understandable way for both educators and learners. Moreover, we present an LA dashboard for displaying OER that shows information about the existing German OER repositories as part of our EduArc project…

Feb222023 by Jane YauNo Comments

HIKOF – Evaluation Study Completed

Artificial Intelligence, Assessment, Feedback, Learning Analytics, Project

In HIKOF (highly informative feedback for digital learning) project, the evaluation study has been successfully completed, where feedback was provided for about 1000 students in a Teacher Education Course (from Psychology department). Students' feedback on the feedback that was given to them was also collected to determine how comprehensive our feedback was, if it motivated them, and was helpful for them, and enhanced their learning progress. Specifically, the evaluation study focuses on the use of machine learning for the creation of personalized feedback that is both formative and summative. Data from a pilot study serves as a starting point for the evaluation to further optimize the AI technology for generating feedback. The evaluation study aims to investigate the effect of Highly Informative Automated Feedback (HIAF) on student performance and perception…

Feb112023 by Jane YauNo Comments

Project kick-off: Games Realising Effective and Affective Transformation (GREAT)

Citizens science, General education, Open science, Project, Project meeting

Using computer games to improve climate protection A new European Union-funded project involving scientific and private-sector partner organizations is investigating how computer games can be used to improve climate protection. The aim is to raise awareness among citizens of the relevant challenges and to provide policymakers with information on how to align climate protection even more closely with the needs of society. The international project consortium is coordinated by the DIPF | Leibniz Institute for Research and Information in Education. "Digital games are becoming increasingly popular. We want to combine this potential with citizen science methods and use it for a central policy field," explains Dr. Jane Yau, a member of the project management team at DIPF together with Dana Kube and Nina Seidenberg. On the one hand, the games…

Feb102023 by Heather WehnerNo Comments

New Pub: Effective Use of Learner-Generated Data in Teacher Training Activities

Learning Analytics, Publication, Report, Webinar

How can data be utilized in teacher training in an effective and ethical manner? This question was addressed by Hendrik Drachsler, 3 teacher trainers and the European Schoolnet Academy team at the webinar “Effective Use of Data in Teacher Training” held on the 18th and 19th of January 2023. One of the main focuses of the webinar was the newly-published report "Effective Use of Learner-Generated Data in Teacher Training Activities", written by Hendrik Drachsler. The report presents an overview of the concepts and applications of learner-generated data (learning analytics) and gives potential training scenarios for teacher training programs. Feel free to check out this report to learn more about learning analytics and how this has been and can be used in training: Effective Use of Learner-Generated Data in Teacher Training…