Target group – EduTec Science

May152023 by Prof. Dr. Hendrik DrachslerNo Comments

New research program: Towards Highly Informative Learning Analytics

Artificial Intelligence, Assessment, Book, Computational Psychometrics, Computer-supported collaborative learning, Feedback, Further Education, Higher Education, Keynote, Learning Analytics, Learning Design, Research Methods, School

On May 12, 2023, the Highly Informative Learning Analytics (HILA) research program of the EduTec@DIPF, studiumdigitale@Goethe University Frankfurt and the Open Learning and Instruction group@Open Universiteit was presented by Hendrik Drachsler at the main campus of the Open University of the Netherlands. The release of the HILA research program marks a significant milestone for the collaboration in the field of learning analytics between of the Dutch-German research collective. The HILA research program is focused on developing new tools and methods to collect, analyze, and interpret data that can help educational institutions to understand the learning process better. As part of the program's launch, a keynote by Ioana Jivet on student-facing learning analytics was provided. Ioana reported on two empirical studies investigating the effect of data-driven feedback on students. [pdf-embedder url="https://edutec.science/wp-content/uploads/2023/05/2023_05-Keynote-Symposium-Hendrik.pdf"…

Apr212023 by Heather WehnerNo Comments

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…

Apr172023 by Heather WehnerNo Comments

Visit from Sasha Poquet

Digitalisation, Higher Education, Invited talk, Learning Analytics, Research topic, Uncategorized

On April 13th, we had the pleasure of welcoming Prof. Dr. Oleksandra (Sasha) Poquet, professor in learning analytics at the TUM School of Social Sciences and Technology at the Technical University of Munich, to our EduTec group in Frankfurt. The visit provided a valuable opportunity for the EduTec group to learn from Sasha's research experience and explore the future of educational technology. The visit began with an introduction by Hendrik Drachsler, who provided an overview of our current research and ongoing projects. This was followed by a presentation by Oleksandra Poquet, who discussed her current, present and future research. In the past, Sasha's research focused on Massive Open Online Courses (MOOCs) and the impact of homophily on university course enrollment. She also discussed her work on Modelling Digital Networks with…

Apr122023 by Daniel BiedermannNo Comments

Paper and presentation about the topic of detecting disengaged reading at LAK23

Conference, Conference, Event, Higher Education, Publication, Research topic, Self-Regulation, Target group

At the recent Learning Analytics and Knowledge Conference (LAK23), Daniel Biedermann presented his paper "Detecting the Disengaged Reader - Using Scrolling Data to Predict Disengagement during Reading," to shed light on the potential for early detection of disengagement in readers. The paper presents a unique method for early disengagement detection that relies solely on the classification of scrolling data. By transforming scrolling data into a time series representation, each point of the series represents the vertical position of the viewport in the text document. Time series classification algorithms are then used to evaluate the data.The results were promising, with the method able to classify disengagement early with up to 70% accuracy. However, the study also observed differences in performance depending on which texts were included in the training dataset. Biedermann…

Mar202023 by Ioana JivetNo Comments

Highly Informative LA Workshop at LAK23

Conference, Higher Education, Learning Analytics, Learning Design, Workshop

On the 13th of March 2023, as part of the LAK23 conference, five EduTec team members (Daniele Di Mitri, Ioana Jivet, Sebastian Gombert, Atezaz Ahmad and Hendrik Drachsler) organised a full-day workshop on Highly Informative Learning Analytics with Marcel Schmitz from Zuyd University of Applied Sciences, The Netherlands. In this workshop, we investigated the concept of highly informative learning analytics and proposed a methodology for designing an environment that delivers highly informative learning analytics. The workshop is intended as a hands-on, interactive session that allows participants to test the methodology’s potential in a realistic use case. The proposed approach is based on the four-stage process of the Design Cycle for Education (DC4E). We exemplify practical tools that were designed in-house for each stage, including a tool to support teachers while…

Mar202023 by Ioana JivetNo Comments

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,…

Mar82023 by Sebastian WollnyNo Comments

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…

Mar82023 by Heather WehnerNo Comments

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…

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…

Dec202022 by Prof. Dr. Hendrik DrachslerNo Comments

HILA Keynote @ CEL annual meeting

Conference, Feedback, Higher Education, Invited talk, Keynote, Learning Analytics, Learning Design, Transfer Activity

Hendrik Drachsler gave a keynote @ the LDE CEL Annual Meeting under the theme ‘Developing a Culture of Learning Analytics'. Hendrik summarized the achievements of the Highly Informative and Learning Analytics (HILA) research program, that is the successor of the Trusted Learning Analytics research program conducted in Frankfurt, Germany. After two years of digital annual meetings, finally CEL could invite again to their annual meeting 2022 at the CEL Teaching Lab. Among keynotes from Simon Buckingham Shum (University of Technology Sydney), and Alyssa Friend Wise (New York University), Hendrik presented the latest research outcomes on Highly Informative and Learning Analytics (HILA) research program. Highly informative and competency-based feedback is costly and can be best given in small teacher-to-learner settings. According to research, feedback has a powerful effect on learning success;…