CORE: New project investigates students’ critical use of digital media

CORE: New project investigates students’ critical use of digital media

Assessment, Digitalisation, Higher Education, Project, Research topic, Target group
Students are increasingly using information from the Internet to learn for their studies. According to recent surveys, they even cite the Internet as their main source when searching for learning materials. Research shows that students often rely on inappropriate, irrelevant and scientifically unsupported sources when searching the web. Little is known about exactly how self-directed learning takes place on the Internet and how information is selected and processed. This will now be addressed by the new research group "Kritisches Denken in Online-Lernumgebungen in der Hochschulbildung (CORE)” (Critical Thinking in Online Learning Environments in Higher Education), which is being funded by the German Research Foundation (DFG) with more than 5 million euros over the next four years. The CORE project will investigate the critical use of digital media and information among…
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Dissemination event for the AFELK project

Dissemination event for the AFELK project

Event, Feedback, Project, Project meeting, Research topic, School, Target group, Uncategorized
Digital lessons can help track individual student learning progression, analyze the extent to which they are productive and report this information back to teachers. But how can this individual learning progression and the learning difficulties that arise in the process be depicted? The research project AFLEK "Analyse und Förderung von Lernverläufen zur Entwicklung von Kompetenzen" (Analysis and Support of Learning Trajectories for the Development of Competencies) is currently looking for answers to this issue. The interdisciplinary project team uses so-called teacher dashboards to provide physics teachers with almost real-time feedback on the learning progress of their students. The information from digital teaching units helps identify productive and unproductive learning progression; this information can then help to automatically recolonize learning difficulties und derive feedback for the teachers to support more productive…
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GREAT Project kick-off on 1-2 March

GREAT Project kick-off on 1-2 March

Citizens science, Game, Project, Project meeting
A fruitful and successful kick-off meeting for the GREAT project (Games Realising Effective and Affective Transformation, co-funded by EU and UKRI) with all consortium partners was held on 1-2 March. DIPF project members (Hendrik, Jane, Dana) hosted the 2-day kick-off meeting, which covered all work package activities for the coming 12 months. The project uses games to engage citizens and collect anonymised data regarding climate crisis attitudes and opinions. These are then anonymously analysed and sent to policy-makers, with the aim of influencing them to make even better climate emergency policies more suited to citizens' needs. Two different types of games will be tested: (1.) With simple quiz games on mobile phones - this can reach high numbers of users and thus large data volumes can be generated. The games will…
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Book Chapter – A Trusted Learning Analytics Dashboard for Displaying OER

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…
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HIKOF – Evaluation Study Completed

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

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…
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HyTea – new BMBF project approved

HyTea – new BMBF project approved

Artificial Intelligence, Higher Education, Project
On 1st September, the German Federal Ministry of Education approved a new collaborative project between DIPF EduTec and Cologne Game Lab named "Model for Hybrid Teaching (HyTea)". The project's total funding is Eur 750,000 and will be financing two PhD candidates at the DIPF and one a the Cologne Game Lab. The project's Principal Investigators are Dr. Daniele Di Mitri from the DIPF side and Prof. Dr. Roland Klemke of the Cologne Game Lab (TH Köln). Short project description Artificial Intelligence (AI) systems can provide automatic, personalised and real-time feedback to learners in distance learning settings when a human expert is unavailable. AI feedback has the potential to be always available and can allow learners to practice deliberately and repeatedly at their own pace. Embedding AI feedback into immersive and…
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New Pub: Toward learning progression analytics — Developing learning environments for the automated analysis of learning using evidence-centred design

New Pub: Toward learning progression analytics — Developing learning environments for the automated analysis of learning using evidence-centred design

Computational Psychometrics, Journal, Learning Analytics, Learning Design, Open access, Project, Publication, School
[caption id="attachment_4319" align="alignright" width="450"] A procedure for developing digital learning environments that allow for the automated assessment of learning.[/caption] National educational standards stress the importance of science and mathematics learning for today’s students. However, across disciplines, students frequently struggle to meet learning goals about core concepts like energy. Digital learning environments enhanced with artificial intelligence hold the promise to address this issue by providing individualized instruction and support for students at scale. Scaffolding and feedback, for example, are both most effective when tailored to students’ needs. Providing individualized instruction requires continuous assessment of students’ individual knowledge, abilities, and skills in a way that is meaningful for providing tailored support and planning further instruction. While continuously assessing individual students’ science and mathematics learning is challenging, intelligent tutoring systems show that it…
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HIKOF-DL – 3rd Committee Meeting with Industry Members

HIKOF-DL – 3rd Committee Meeting with Industry Members

Artificial Intelligence, Assessment, Higher Education, Learning Analytics, Project, Transfer Activity, Uncategorized
On 11.7.2022, team members of the HIKOF-DL project held its third meeting with the project committee members consisting of industry partners. The partner companies / institutions include Goethe Business School, Provadis, GIZ, Deutsche Bahn, Mercedes Benz, Academie für Bildungsforschung und Lehrerbildung. The three project leaders are Prof. Dr. Hendrik Drachsler, Prof. Dr. Andreas Frey (Goethe University Frankfurt) and Dr. David Weiss (studiumDigitale, Goethe University Frankfurt). In the meeting, Prof. Dr. Hendrik Drachsler and team members presented the ongoing research work namely the pilot study involving the course "Einführung in Unterricht sowie Diagnostik und Beratung" taught by Prof. Dr. Andreas Frey, with ca. 1000 students. One of the project aims is to make course assessment less time-consuming for the teaching staff, as this was a significant concern in such a course…
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New HIKOF-DL Video – Introduction to the project

New HIKOF-DL Video – Introduction to the project

Artificial Intelligence, Assessment, Higher Education, Learning Analytics, Project
  Studiumdigitale at Goethe University Frankfurt has created an informative video to introduce the HIKOF-DL project. HIKOF-DL stands for Hoch Informatives und Kompetenzorientiertes Feedback für das Digitale Lernen and is funded by the Hessen Ministry for Digital Strategy and Development from 2021-2024. Prof. Dr. Hendrik Drachsler, Prof. Dr. Andreas Frey as well as Dr. David Weiss are project leaders of this interdisciplinary project. In the video below, they explained their roles and vision in this joint project. For more information about the project, please see the project website here: https://hikof.uni-frankfurt.de/
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