News

New pub: Lernpfade in adaptiven und künstlich-intelligenten Lernprogramme

New pub: Lernpfade in adaptiven und künstlich-intelligenten Lernprogramme

Artificial Intelligence, Book chapter, Learning Analytics, Publication, Research Methods, Research topic
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, Publication, Research Methods, Research topic, School, Target group
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

Event, 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, Uncategorized
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: A checklist to guide the planning, designing, implementation, and evaluation of learning analytics dashboards

New Pub: A checklist to guide the planning, designing, implementation, and evaluation of learning analytics dashboards

Journal, Learning Analytics, Publication
Higher education institutions are moving to design and implement teacher-facing learning analytics (LA) dashboards with the hope that instructors can extract deep insights about student learning and make informed decisions to improve their teaching. While much attention has been paid to developing teacher-facing dashboards, less is known about how they are designed, implemented and evaluated. This paper presents a systematic literature review of existing studies reporting on teacher-facing LA dashboards. Out of the 1968 articles retrieved from several databases, 50 articles were included in the final analysis. Guided by several frameworks, articles were coded based on the following dimensions: purpose, theoretical grounding, stakeholder involvement, ethics and privacy, design, implementation, and evaluation criteria. The findings show that most dashboards are designed to increase teachers’ awareness but with limited actionable insights to…
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HIKOF-DL Presentation at the University Future Festival

HIKOF-DL Presentation at the University Future Festival

Conference, Event
  Jane, as the project-coordinator, presented HIKOF-DL in the Track - AI & Technology, at the University Future Festival on 27.4.2023. Abstract: During the COVID-19 pandemic, we made use of artificial intelligence and learning analytics technologies for both lecturers’ and students’ online teaching and learning gains. Using these technologies, the team designed and implemented novel ways of providing highly-informative competence driven feedback (hicof) to large classes of university students (≈1000) for three innovative online assignments. We built machine learning models to automatically assess the assignments and reduced the time required for staff to manually grade them. High-informative feedback provides correct solutions, possibilities for improvement, hints on self-regulation and effective learning strategies (Wisniewski, Zierer and Hattie, 2020; Winne & Hadwin, 2008), and on two different levels - Feed Up (concerning their understanding of the learning goal) and Feed Forward (concerning their next steps in their learning process) (Hattie & Timberley, 2007). Competence driven feedback is feedback that is given to students based on…
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HIKOF-DL – 4th Committee Meeting with Industry Members

HIKOF-DL – 4th Committee Meeting with Industry Members

Event, Transfer Activity
The fourth Committee meeting with industry members of the research project "HIKOF-DL" took place on March 31, 2023. HIKOF-DL is a project funded by the Hessen Ministerium für Digital Strategie und Entwicklung, which aims to provide high-informative feedback for a large number of university students, and automatic assessment, in order to reduce the lecturers' workload. The meeting yielded exciting results and discussions, showcasing the progress and potential of this innovative study. The meeting kicked off with an introduction by Prof. Dr. Hendrik Drachsler, who emphasized the significance of artificial intelligence (AI) in education. Dr. Joshua Weidlich, a key researcher in the project, then presented the research design of the study. The study population was divided into an experimental group and a control group to investigate two aspects: how students respond…
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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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