Higher Education – 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…

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;…

Oct312022 by Prof. Dr. Hendrik DrachslerNo Comments

New Pub: Untangling connections between challenges in the adoption of learning analytics in higher education

Empirical Study, Higher Education, Journal, Learning Analytics, Publication

[caption id="attachment_4599" align="alignnone" width="967"] Associations of challenges and ethics: (a) none, (b) prep-partial, and (c) full adoption institutions[/caption] Potential benefits of learning analytics (LA) for improving students' performance, predicting students' success, and enhancing teaching and learning practice have increasingly been recognized in higher education. However, the adoption of LA in higher education institutions (HEIs) to date remains sporadic and predominantly small in scale due to several socio-technical challenges. To better understand why HEIs struggle to scale LA adoption, it is needed to untangle adoption challenges and their related factors. This paper presents the findings of a study that sought to investigate the associations of adoption factors with challenges HEIs face in the adoption of LA and how these associations are compared among HEIs at different scopes of adoption. The study…

Sep152022 by Ioana JivetNo Comments

Third edition of the Culturally Aware Learning Analytics (CARLA) Workshop at ECTEL22

Conference, General education, Higher Education, Learning Analytics, Workshop

On the 13th of September, as part of the EC-TEL22 conference, EduTec team member Ioana Jivet co-hosted the third edition of the Culturally Aware Learning Analytics (CARLA) Workshop together with Olga Viberg from KTH Stockholm and Maren Scheffel from Ruhr University Bochum. Learning analytics (LA) have been implemented in various countries, often at a limited scale. We have also seen that LA have been used in different ways in different countries. This makes the transfer of LA solutions from one country to another challenging, due to varying contextual, technical, and cultural factors. Also, the idea that a ‘one size fits all’ paradigm does not lead to effective LA tool designs and implementation has become accepted within both TEL and LA communities. Yet, there is still a big question about what…