News

Best Short Paper Award Nomination @LAK23

Best Short Paper Award Nomination @LAK23

Award, Conference, Conference, Higher Education, Learning Analytics
The protection of students’ privacy in learning analytics (LA) applications is critical for cultivating trust and effective implementations of LA in educational environments around the world. However, students’ privacy concerns and how they may vary along demographic dimensions that historically influence these concerns have yet to be studied in higher education. Gender differences, in particular, are known to be associated with people's information privacy concerns, including in educational settings. Building on an empirically validated model and survey instrument for student privacy concerns, their antecedents and their behavioral outcomes, we investigate the presence of gender differences in students’ privacy concerns about LA. We conducted a survey study of students in higher education across five countries (N = 762): Germany, South Korea, Spain, Sweden and the United States. Using multiple regression analysis,…
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New Pub: Students’ expectations of Learning Analytics across Europe

New Pub: Students’ expectations of Learning Analytics across Europe

Higher Education, Journal, Learning Analytics
What do European students expect from Learning Analytics? To help Higher Education Institutions (HEIs) develop and implement Learning Analytics systems that support students' learning, a new article of Sebastian Wollny et al. investigates in the Journal of Computer Assisted Learning the individual LA expectations of European higher education students. In this article a ‘Student Expectations of Learning Analytics Questionnaire’ (SELAQ) survey with 417 participating students was applied at the Goethe University Frankfurt (Germany) and compared with responses of students from Madrid (Spain), Edinburgh (United Kingdom) and the Netherlands. Results: The results show that students’ expectations at Goethe University Frankfurt itself are rather homogeneous regarding ‘LA Ethics and Privacy’ and ‘LA Service Features’. Furthermore, it reveals that European students generally show a consistent pattern of expectations of LA with a high…
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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
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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New Pub: Caught in the Lifelong Learning Maze: Helping People with Learning Analytics and Chatbots to Find Personal Career Paths

New Pub: Caught in the Lifelong Learning Maze: Helping People with Learning Analytics and Chatbots to Find Personal Career Paths

Higher Education, Learning Analytics
Abstract—Current lifelong learning platforms offer users a query option to select a wide variety of courses. However, finding a suitable course among the seemingly endless catalogs of options presented by the platforms is not straightforward. We argue that digital counseling can enhance this process. In this paper, we present a set of three formative studies where we explored the main aspects that can provide the counseling needed. The methods comprise an analysis of user profile characteristics and learning analytics indicators (e.g., learning progress/self-regulation) by means of an expert workshop, evaluating the feasibility of current technologies (e.g., natural language processing) for automatically assessing users' competencies, and a survey on the use of Chatbots as the interaction interface between the users and the lifelong learning portals. The analysis resulted in the extraction…
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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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New Pub: Effective Use of Learner-Generated Data in Teacher Training Activities

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…
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Seasons Greetings and Thanks for a great 2022

Seasons Greetings and Thanks for a great 2022

Team
As the year 2022 nears its end, we take a few moments to reflect on what the year has brought us. Throughout the year we have had the pleasure of meeting people who have enriched our (research) lives: our 2 visiting guest researchers Josè Aznarte and Andrea Zanellati, our intern Lukas Menzel and our 2 new colleagues Stefan Hummel and Nina Mouhammad. Besides having guests, some team members were also guests themselves, for example Daniele Di Mitri who was a guest researcher in the USA. During the year the AR4STEAM project ended successfully and we started 2 new projects ML2MT and HyTea. We took part in around 20 events over the year, published 8 conference papers, 13 journal papers and 2 book chapters. We took part in 3 interviews and…
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