Prof. Dr. Hendrik Drachsler, Author at EduTec Science

Oct222021 by Prof. Dr. Hendrik DrachslerNo Comments

Consortium meeting and research workshop of the HELA project

Higher Education, Learning Analytics, Meta-study, Project, Workshop

On October 22st, 2021, Hendrik Drachsler contributed to the HELA project. Prof. Nina Begičević Ređep PhD, presented activities and results achieved in the seven months of project implementation and give an overview of upcoming research activities due to the end of the first project year. The HELA partners have set up a powerful machine learning literature review system and will focus on providing insights through meta-analysis on ethics & privacy, LA use cases, strategic planning for the adoption of learning analytics. On Friday, October 22nd, 2021, a research workshop will be held where the FOI team will present project results through three modules: 1) Conceptual framework of learning analytics (LA), 2) Strategic planning and decision making related to LA implementation and 3) LA use cases. After this, external associate Prof.…

Oct202021 by Prof. Dr. Hendrik DrachslerNo Comments

KickOff: KomZert Projekt – Lehren in einer digitalen Welt – Kompetenzen entwickeln, überprüfen und zertifizieren

Further Education, General education, Higher Education, Lifelong Learning, Project

Unter der Leitung von studiumdigitale tragen wir im folgende Projekt zur Nationalen Bildung Platform (Gaia X) bei. Ziel des Projekts ist die Entwicklung eines virtualisierten Qualifizierungsangebotes für Lehrende, mit dem sie Methodenwissen und digitale Kompetenzen erwerben können, um eigene Lehr-/Lernszenarien so zu gestalten, dass Potenziale innovativer Bildungstechnologien zum Tragen kommen. Die Lehrenden lernen dabei Methoden und Tools kennen, die während der Qualifizierung zum Einsatz kommen (didaktischer Doppeldecker) und mit denen sie innovative Lehre umsetzen können. Das Qualifizierungsangebot wird kompatibel mit der nationalen Bildungsplattform umgesetzt. Somit lässt sich das gesamte Angebot durch standardisierte Metadaten auffinden und verknüpfen, erworbene Kompetenzen feingranular zertifizieren und zu einem Kompetenzprofil in Form eines persönlichen Data-Wallets auf der Meta-Bildungsplattform zusammenstellen. Als hochschulübergreifend organisiertes Verbundprojekt werden bestehende Netzwerke und die Expertise im Aufbau hochschulischer Qualifizierung und Infrastruktur (u.a.…

Oct152021 by Prof. Dr. Hendrik DrachslerNo Comments

PhD defense by Tobias Rohloff: Learning Analytics at Scale Supporting Learning and Teaching in MOOCs with Data-Driven Insights

Learning Analytics, Lifelong Learning, PhD defense

Today I had the pleasure to participate in the PhD defense of Tobias Rohloff. The overall aim of this dissertation is to investigate the implementation of LA at the scale of MOOCs and to explore how data-driven technology can support learning and teaching in this context. To this end, several research prototypes have been iteratively developed for the HPI MOOC Platform. Hence, they were tested and evaluated in an authentic real-world learning environment. Most of the results can be applied on a conceptual level to other MOOC platforms as well. The research contribution of this thesis thus provides practical insights beyond what is theoretically possible. In total, four system components were developed and extended: (1) The Learning Analytics Architecture: A technical infrastructure to collect, process, and analyze event-driven learning data based…

Oct132021 by Prof. Dr. Hendrik DrachslerNo Comments

ALICE project workshop

Learning Analytics, Learning Design, School, Workshop

On 12/13 of October the EduTec Team finally hit the road again and met with the ALICE Project partners in Kiel at the IPN for the first post-pandemic f2f Workshop. Wuhuuuuuuuu! The purpose of the 2-day workshop was to work on an instructional model for designing and implementing instructional units in four domains – biology, chemistry, mathematics, and physics – and tracking students learning progression with learning analytics during these units. The units will be hybrid in that they will take place in regular classrooms but will involve students working through instructional activities involving digital media. Instruction will be led by a regular teacher but will have students continuously interact with a (tablet) computer. In order to be able to analyze students learning progression using learning analytics across the four…

Sep82021 by Prof. Dr. Hendrik DrachslerNo Comments

New MMLA Pub: Get your back straight! Learn Pilates with the Pilates Correction App

Conference, General education, Multimodal Learning Analytics, Open access, Publication

Currently, a vast number of the population faces several barriers like the lack of motivation and guidance that impede them from practicing physical activities. Thus, we developed the Pilates Correction Game (PCG), a gamified application designed to support learners with the practice of Pilates. The PCG is composed of two applications: a smartphone application that tracks the learner’s back posture and a PC game that steers a rocket and calculates a score based on the smartphone's information. In this paper, we present a user experience evaluation on the PCG. Our results show that PCG was positively perceived by participants and in most cases helped them to improve their posture while doing the Pilates exercise. Furthermore, it is also motivating them to continue with the training. Reference: Meik, A., Schneider, J.,…

Sep62021 by Prof. Dr. Hendrik DrachslerNo Comments

New Pub: The Design Cycle for Education (DC4E)

Conference, General education, Learning Design, Open access, Publication

The need for more and better online and blended education has lately become even more apparent. Many educational institutions had to pivot to emergency remote teaching. While online learning in itself is nothing new, the scope, suddenness and speed of this shift certainly was. However, courses and modules created for face-to-face settings, cannot simply be turned into blended or fully online ones easily. Learning design models can provide guidelines and guidance. Often, however, they are not constructed in a comprehensive way and are mainly conceptual. We thus created a procedural design model enriched with templates, tools, information and design examples to specifically support and facilitate the (re)design of blended and online learning and teaching and to thus provide quality education: the Design Cycle for Education (DC4E). Reference: Scheffel, M., Schmitz,…

Aug162021 by Prof. Dr. Hendrik DrachslerNo Comments

New Pub: A short history, emerging challenges and co-operation structures for Artificial Intelligence in education

Artificial Intelligence, Higher Education, Journal, Lifelong Learning, Publication, School

To accompany the special issue in Artificial Intelligence and Education, this article presents a short history of research in the field and summarises emerging challenges. We highlight key paradigm shifts that are becoming possible but also the need to pay attention to theory, implementation and pedagogy while adhering to ethical principles. We conclude by drawing attention to international co-operation structures in the field that can support the interdiscipniary perspectives and methods required to undertake research in the area. Reference: Mavrikis, M., Cukurova, M., Di Mitri, D., Schneider, J., & Drachsler, H. (2021). A short history, emerging challenges and co-operation structures for Artificial Intelligence in education. Bildung und Erziehung 2021 74:3, 249-263. https://doi.org/10.13109/buer.2021.74.3.249.

Aug12021 by Prof. Dr. Hendrik DrachslerNo Comments

Ioana Jivet joins the team

Artificial Intelligence, Higher Education, Learning Analytics, Learning Design, Team

Ioana Jivet is Associate Researcher at EduTech group at DIPF Leibniz Institute for Research and Information in Education. Ioana obtained her Masters degree in Computer Science in 2016 from the TU Delft and then pursued a PhD at the Open University of the Netherlands which she obtained in March 2021 Cum Laude. Her research focused on designing learner-facing learning analytics dashboards that foster the development of self-regulated learning skills. Over the past years, she has contributed to Competen-SEA, a capacity building project in South-East Asia around MOOCs, and SHEILA, a research project that investigated the adoption of learning analytics in European higher education institutions and built a policy development framework for HEIs to facilitate adoption. At the moment, Ioana is serving on the Executive Committee of the Society of Learning…

Jul282021 by Prof. Dr. Hendrik DrachslerNo Comments

QE Webinar series moderated by DIPF

Further Education, General education, Higher Education, Lifelong Learning, School, Webinar

The monthly QE Webinar Series showcases emerging research and exciting new developments in Quantitative Ethnography. These one-hour events begin with a 30-minute presentation by scholars from the QE community, followed by 30 minutes of moderated discussion. Attendance is free and open to anyone who is interested! The DIPF is currently moderating a series of webinars of the Quantified Ethnography (QE) community as pre-events to the QE conference taking place in October. So far we have been discussing the following topics and the recording can be watched back: Putting the E in QE: How Quantitative Ethnography can Enrich Qualitative Analyses Yotam Hod University of Haifa QE Data ChallengeField Report: Reflecting on the benefits of multidisciplinary research teams Daniel Spikol University of Copenhagen, DK Barbara Wasson University of Bergen, Norway Stefano Schiavetto…

Jul212021 by Prof. Dr. Hendrik DrachslerNo Comments

New Pub: Literature Review on Co-Located Collaboration Modeling Using Multimodal Learning Analytics—Can We Go the Whole Nine Yards?

General education, Journal, Literature review, Multimodal Learning Analytics, Open access, Publication

Collaboration is one of the important 21st-century skills. It can take place in remote or co-located settings. Co-located collaboration (CC) is a very complex process that involves subtle human interactions that can be described with indicators like eye gaze, speaking time, pitch, and social skills from different modalities. With the advent of sensors, multimodal learning analytics has gained momentum to detect CC quality. Indicators (or low-level events) can be used to detect CC quality with the help of measurable markers (i.e., indexes composed of one or more indicators) which give the high-level collaboration process deﬁnition. However, this understanding is incomplete without considering the scenarios (such as problem solving or meetings) of CC. The scenario of CC affects the set of indicators considered: for instance, in collaborative programming, grabbing the mouse…