New Pub: I don’t have time! But keep me in the loop: Co-designing requirements for a learning analytics cockpit with teachers

New Pub: I don’t have time! But keep me in the loop: Co-designing requirements for a learning analytics cockpit with teachers

Empirical Study, Learning Analytics, New Pub, Research Methods, School
Teacher dashboards can help secondary school teachers manage online learning activities and inform instructional decisions by visualising information about class learning. However, when designing teacher dashboards, it is not trivial to choose which information to display, because not all of the vast amount of information retrieved from digital learning environments is useful for teaching. Information elicited from formative assessment (FA), though, is a strong predictor for student performance and can be a useful data source for effective teacher dashboards. Especially in the secondary education context, FA and feedback on FA, have been extensively studied and shown to positively affect student learning outcomes. Moreover, secondary teachers struggle to make sense of the information displayed in dashboards and decide on pedagogical actions, such as providing feedback to students. Objectives: To facilitate the…
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Dr. Eyal Rabin from the Open University of Israel joins EduTec group and GU as an International Visiting Fellow

Dr. Eyal Rabin from the Open University of Israel joins EduTec group and GU as an International Visiting Fellow

Computational Psychometrics, Learning Analytics, Research Methods
We are delighted to announce that Dr. Eyal Rabin, a distinguished researcher in the field of educational technology, has joined us as an International Visiting Fellow at the EduTec group at DIPF and Goethe University in Frankfurt from July till September. This fellowship is generously funded by the Goethe University and aims to foster collaborative research and knowledge exchange in the field of educational technology. Dr. Rabin serves as a research associate at the Center of Innovation in Educational Technology at the Open University of Israel. His research expertise lies in exploring the complexities of learning in online courses and digital environments, employing learning analytics methods (LA) and drawing from multiple interdisciplinary fields, including psychology, education and computer science. The focus of Dr. Rabin's research revolves around understanding the factors…
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New pub: Lernpfade in adaptiven und künstlich-intelligenten Lernprogramme

New pub: Lernpfade in adaptiven und künstlich-intelligenten Lernprogramme

Artificial Intelligence, Book chapter, Learning Analytics, Research Methods
In this newly published book chapter, the authors delve into the comparison between interactive, adaptive and artificially intelligent learning programs. While adaptive and AI-based applications offer promising potential, they face greater complexity in their development and have yet to fully establish themselves. To evaluate the prospects of these technologies, their respective capabilities are explored. Adaptive learning programs prove effective in skill acquisition, while AI-based solutions shine in cases where an explicit expertise model is challenging to articulate. The didactic and pedagogical challenges that lie ahead for AI-based learning applications are also highlight. By examining these factors, valuable insights are gained into the landscape of advanced learning technologies and their future implications. Reference: Kerres, M., Buntins, K., Buchner, J., Drachsler, H., & Zawacki-Richter, O.. (In Press). Lernpfade in adaptiven und künstlich-intelligenten…
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New pub: Evaluating the Impact of FoLA on Learning Analytics Knowledge Creation

New pub: Evaluating the Impact of FoLA on Learning Analytics Knowledge Creation

Journal, Learning Analytics, Learning Design, Publication, Research Methods, Research topic, Special Issue
Learning analytics provides opportunities to improve the design of learning activities by supplying information on the effects of different learning approaches. Despite the existence of design methods that aim to facilitate the incorporation of learning analytics into learning design, there is a lack of research assessing their efficacy. This study aims to evaluate the effectiveness of the FoLA2 method. In higher education settings, sixty participants utilized the FoLA2 method to develop fourteen learning activities. To gauge the impact, participants completed a technology acceptance test before and after each session. Furthermore, researchers analyzed audio recordings of the sessions using epistemic network analysis to gain insights into the discussions regarding learning analytics and the creation of enhanced learning activities. The results from both the technology acceptance test and the epistemic network analysis…
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New pub: Digitalisierung und Diagnostik in Schulen – Herausforderungen für Bildungspraxis und Bildungsforschung

New pub: Digitalisierung und Diagnostik in Schulen – Herausforderungen für Bildungspraxis und Bildungsforschung

Assessment, Book chapter, Computational Psychometrics, Digitalisation, Learning Analytics, Research Methods, Research topic, School
In the spring of 2020, schools faced an unprecedented challenge as the pandemic disrupted traditional modes of instruction and school development. With on-site learning replaced by digital formats and distance communication, educators had to quickly adapt to the new normal. Amidst these changes, the field of education encountered specific challenges related to digital school management, digital learning, and assessing learning progress. Particularly, computer-aided diagnostics emerged as a valuable tool for gaining insights not only into learning outcomes but also into the learning process itself. Researchers became intrigued by the potential of digital media in shaping learning experiences and how the resulting data could be effectively utilized in educational practice. This paper explores the current challenges and potentials in computer-based, learning-accompanying diagnostics. The primary hurdles involve implementing suitable instruments within schools…
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A Vibrant Week of Exchange Between Brazilian and German LA Researchers

A Vibrant Week of Exchange Between Brazilian and German LA Researchers

Higher Education, Learning Analytics, Multimodal Learning Analytics, Research Methods, Research topic, Workshop
From May 22 to 25, 2023 five esteemed guest researchers from Brazil visited the EduTec team in Frankfurt in the context of the Humboldt Foundation's Connect Program. This productive exchange not only shed light on the current state of Learning Analytics (LA) research in Brazil and Germany but also paved the way for potential collaborative research activities. Status of LA research in Brazil The week began with a discussion of the role of LA in the global South. Rafael Ferreira Mello from the Federal Rural University of Pernambuco (UFRPE) emphasized the importance of adapting LA methodologies to the specific context and needs of Brazil, ensuring inclusivity and accessibility in educational initiatives. Diego Dermeval from the Universidade Federal de Alagoas (UFAL) highlighted the potential of AI and LA in supporting teachers…
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New pub: Causal reasoning with causal graphs, published in ETRD

New pub: Causal reasoning with causal graphs, published in ETRD

Journal, Publication, Research Methods, Special Issue
Educational Technology, like many other empirical research fields, needs to provide evidence for the causal effectiveness of their interventions. This is as important for establishing the efficacy of some novel educational technology as it is for theory-building. However, because educational research, especially field research, can be messy, tightly-controlled randomized experiments are not always the best option. Importantly, as our development paper shows, this does not mean that researchers should abandon all claims of causality. Instead, we highlight the importance of explicit causal reasoning, while equipping researchers with a tool to approach this daunting task systematically. Causal graphs (or Directed Acyclic Graphs = DAGs) are a low-barrier approach to reasoning about causality in all research contexts. Using a few construction rules, the resultant graphs allow researchers to figure out whether a…
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New research program: Towards Highly Informative Learning Analytics

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"…
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New Pub: Causal Inference and Bias in Learning Analytics

New Pub: Causal Inference and Bias in Learning Analytics

Journal, Learning Analytics, Literature review, Open access, Publication, Research Methods
Learning Analytics is an applied field of research with the goal of producing actionable knowledge to improve student learning. This requires knowledge about cause-and-effect. However, randomized experiments, the usual vehicle for causality, are not always feasible nor desirable. Researchers are then left with observational data, from which they are, understandably, hesitant to draw causal inferences. Fortunately, there has been a lot of progress on the topic of causality in the last two decades. One prominent framework uses Directed Acyclic Graphs (DAGs) to graphically reason about cause-and-effect and/or bias. This primer, authored by Joshua Weidlich, Dragan Gasevic, and Hendrik Drachsler, published in the Journal of Learning Analytics, introduces DAGs to Learning Analytics.  Using fictitious and published examples, we show how DAGs are a principled approach to a) improve causal inferences for…
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