Computer-supported collaborative learning Archives

Dec42023 by Prof. Dr. Hendrik DrachslerNo Comments

16th eLearning Netzwerktag: An Insightful Recap of the Fast-Paced Year

Artificial Intelligence, Assessment, Augmented Reality, Competence development, Computational Psychometrics, Computer-supported collaborative learning, Conference, Event, Feedback, Gender, Higher Education, Learning Analytics, Learning Design

The annual eLearning Netzwerktag was a highly anticipated one-day event where the eLearning community of Frankfurt and the surrounding areas gathered to present the highlights of the past year to the public. On November 21, 2023, the event took place at Campus Westend, Goethe University Frankfurt am Main. Among the speakers, the Prof. Dr. Maren Scheffel, Prof. Dr. Franziska Matthäus , CIO of Goethe University Ulrich Schielein, Prof. Dr.Hendrik Drachsler, Director of studiumdigitale, delivered an opening speech that reflected on an incredible year, with a particular focus on the advancements in generative Artificial Intelligence applications. Hendrik Drachsler's speech highlighted the significant developments in the field of digital learning. At the previous Netzwerktag, applications like ChatGPT, Midjourney, Stablediffusions, and open language models (LLMs) such as LAMA were relatively unknown to most…

Nov142023 by Dana KubeNo Comments

Unveiling Gender Bias in Computer-Supported Collaborative Learning: Insights from a CS Hackathon Study

Computer-supported collaborative learning, Digitalisation, Event, Gender, Higher Education, Journal, Learning Design, New Pub, Open access, Publication, Research topic

Gender stereotypes about women and men are prevalent in computer science (CS). The study's goal was to investigate the role of gender bias in computer-supported collaborative learning (CSCL), group work in a CS context, by elaborating on gendered experiences in the perception of individual and team performance in mixed-gender teams in a hackathon. We applied an exploratory mixed-method approach using quantitative survey data, including collective self-esteem scales, at several time points during the hackathon, which was analysed with clustering and descriptive statistics and complemented with qualitative coding of interviews with participants. The Figure shows that, for both clusters, the self-esteem scores are predominantly located in the upper half of the scale, indicating a generally high (collective) self-esteem among all our participants. Nonetheless, all respective scores were lower for the women-dominated…

Nov132023 by Joshua WeidlichNo Comments

New Pub: Social Presence and Psychological Distance

Computer-supported collaborative learning, Empirical Study, Higher Education, Journal, Learning Design, New Pub, Publication

Social presence –the sense that others are 'real' and 'there'– is a key variable in understanding interpersonal dynamics in online learning environments. As students are separated in time and place, social cues are diminished and communication is affected. This is particularly relevant for social learning scenarios like computer-supported collaborative learning. Despite its relevance and decades of research, there are still many gaps in our understanding of social presence. In order to arrive at a more holistic understanding of social presence, it would be valuable to better understand how this experience fits within larger psychological frameworks. One particularly well-established psychological framework is Construal Level Theory by Trope & Liberman (2010). It posits that our mental representations of objects, events, and persons (i.e. construals) are affected by the psychological distance between us…

Sep122023 by Heather WehnerNo Comments

New pub: Why You Should Give Your Students Automatic Process Feedback on Their Collaboration

Computer-supported collaborative learning, Conference, Feedback, Higher Education, Journal, Learning Analytics

In the ever-changing landscape of education, innovation is the key to ensuring that every student has access to quality learning experiences. A transformative approach is Computer-Supported Collaborative Learning (CSCL), in which enables students to harness the power of teamwork to achieve learning outcomes that often exceed those they could reach individually. One of the strengths of CSCL is that it can give participant feedback on the quality of their collaborative work. This feedback not only aids individual growth but also enhances the group's overall dynamic. Traditionally, providing such feedback was a manual and time-intensive task, making it impractical for larger classes or scalable education programs. That's where this newly published paper comes into play. CSCL The paper “Why You Should Give Your Students Automatic Process Feedback on Their Collaboration: Evidence…

Jun292023 by Sebastian GombertNo Comments

Workshop: Hyperchalk – How to implement Self-hosted Whiteboard Tasks @ JTEL Summer School 2023

Artificial Intelligence, Computer-supported collaborative learning, Learning Analytics, Summer School, Workshop

In this workshop which Lukas Menzel and I gave at the seventeenth JTEL Summer School, we explored the possibilities of our self-implemented whiteboard tool Hyperchalk. Hyperchalk is a backend for Excalidraw which allows for integrating learning management systems via LTI and collecting a complete history of trace data. After a short kick-off presentation, we let the participants design their own learning activities using the whiteboard. All participants created little tasks that other participants then solved. As most participants had a strong background in teaching, these were inspired by practical experiences. The tasks involved various topics, from stochastics to K12-level geography. At the end of the workshop, we taught the participants how to administrate the tool and how to set it up on their own servers. Overall, it was a successful…

Jun162023 by Heather WehnerNo Comments

New pub: Measuring Collaboration Quality Through Audio Data and Learning Analytics

Book chapter, Computer-supported collaborative learning, Learning Analytics, Multimodal Learning Analytics

In the rapidly evolving twenty-first century, collaboration stands as a vital skill. Recognizing its significance, the detection of collaboration quality can play a pivotal role in fostering effective teamwork. This newly published chapter dives into the realm of collaboration quality detection and measurement, aiming to achieve the following objectives: Defining collaboration quality by leveraging audio data and unobtrusive learning analytics measures. Detailing the design of a sensor-based setup specifically tailored for automatic collaboration analytics. Advancing the quantification of collaboration quality through the utilization of this setup and presenting the analysis using insightful visualizations. Moreover, the chapter delves into the challenges and issues at hand while exploring potential solutions that build upon existing research. To elucidate the various objectives, the terminology of "indicators" (i.e., the events) and "indexes" (i.e., the process)…

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"…

Dec122022 by Dana KubeNo Comments

Podcast “FutureSchool”: Child reporter talks with Scientist about Educational Technologies

Artificial Intelligence, Augmented Reality, Competence development, Computer-supported collaborative learning, Digitalisation, Event, Feedback, Invited talk, Promotion activity, Robots in Education, School, Transfer Activity

The German podcast "FutureSchool" looks at the classroom of the future and which technical aids for learning could be conceivable, but are also already being developed. Luis and DIPF education expert and our colleague Dana Kube consider together where technology is superior to teachers and when, in turn, teachers are unbeatable as real people with real experiences: https://blog.bildungsserver.de/klassenzimmer-der-zukunft/ The three-part podcast "FutureSchool" was created as part of the BMBF project "enorM - Lernen von (ÜBER)MORGEN". In the project, which is part of the "Science Year 2022 - Inquired about!", pupils and researchers have exchanged ideas in numerous formats, for example about new subjects and digital learning support.

Sep142022 by Sebastian GombertNo Comments

New Pub: Superpowers in the Classroom: Hyperchalk is an Online Whiteboard for Learning Analytics Data Collection

Computer-supported collaborative learning, Conference, Conference, Event, Further Education, General education, Higher Education, Learning Analytics, Lifelong Learning, Publication, School, Technical paper

A new system demonstration paper authored by Lukas Menzel, Sebastian Gombert, Daniele Di Mitri and Henrik Drachsler has been released as part of the ECTEL 2022 proceedings. In this paper, we present Hyperchalk, a self-hosted collaborative online whiteboard software. Similar to commercial solutions like Miro or Flinga, this software provides users with collaborative boards which they can use to draw, write or sketch together. However, unlike commercial solutions, Hyperchalk allows for collecting rich log data, which can be used to study the behaviour of its users and to allow Learning Analytics and studies on computer-supported collaborative learning. Moreover, Hyperchalk comes with a built-in replay mode which allows watching how users behave in its spaces. It supports the LTI1.3 standard, which enables seamless integration with learning management systems such as Moodle,…