On September 12, the workshop on Learning Analytics 2022 is planned as a one-day workshop taking place during the DELFI’22 and GMW’22 conferences. This year’s workshop is cooperating with the research cluster D2L2 (FernUniversität Hagen) and is focusing on »Intertwining adaptive learning and learning analytics«. In addition, other relevant topics on learning analytics can be discussed. We are currently accepting submissions to the workshop. Please refer to the call for paper for further details.
Learning Analytics collects and analyzes a plethora of data on learners and their learning environments. A major aim is to use these additional insights for offering adaptive learning to highly heterogeneous learners. However, to date, the adaptivity is still limited and mostly predefined as well as calling for further integration of technical and pedagogical perspectives. Therefore, this workshop focuses on how Learning Analytics approaches can enhance adaptivity as well as other current topics in the domain of Learning Analytics.
Although research on Adaptive Learning Environments dates back to the 1980s, there has been significant growth in research in recent years. Drivers of this development are advances in artificial intelligence including educational data mining but also the dissemination of Learning Analytics.
Adaptive Learning Systems make use of data about students, learning processes, and learning products to adapt the level or type of instruction or learning path for each student. Commonly, this adaptivity takes the form of selecting items from a large repository of learning items to match the current learning ability of a student. Application areas range from adaptive tests, learning paths, solution hints, and feedback to supporting self-regulated learning.
Thus, this workshop encourages submissions in the domain of Learning Analytics among others with an emphasis on adaptive learning, adaptive assessments, models, and algorithms for adaptation. The workshop is planned as an all-day event including presentations, a keynote, and an exchange among the participants.
Potential research questions:
- How can decisions of the adaptive system be made transparent and comprehensible to the learner?
- How do learners and the adaptive system interact with each other?
- What are the didactic premises of adaptive learning?
- How can teachers be involved in the adaptation process using Learning Analytics?
- What ethical guidelines do adaptive systems need?
- How can learning be adaptive without being unfair with regard to equal learning opportunities?
Goals of the workshop
- Networking of the learning analytics community in the German-speaking countries to initiate research and joint projects as well as fostering network activities beyond the workshop
- Presentation of current research projects and results
- Enhancing the interdisciplinarity in the working group
- Developing a joint outcome based on the workshop discussions (e.g., publication, digital learning resources, events)
The workshop is organized by
Dr. Niels Seidel, FernUniversität in Hagen
Dr. Clara Schumacher, Humboldt-Universität zu Berlin
The program committee of the workshop
Prof. Dr. Niels Pinkwart, Humboldt-Universität zu Berlin
Prof. Dr. Agathe Merceron, Beuth-Hochschule Berlin
Prof. Dr. Tanja Käser, École polytechnique fédérale de Lausanne (EPFL)
Prof. Dr. Katharina Simbeck, Hochschule für Technik und Wirtschaft Berlin
Prof. Dr. Dirk Ifenthaler, Universität Mannheim
Dr. Jakub Kuzilek, Humboldt-Universität zu Berlin
Dr. Slaviša Radović, FernUniversität in Hagen
The workshop will be held in cooperation with the research cluster D2L2 (FernUniversität Hagen)