Learning Analytics Archives - Page 5 of 12

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…

Sep112023 by Prof. Dr. Hendrik DrachslerNo Comments

Reflecting on the 10th German Learning Analytics Workshop at DELFI 2023: A Decade of Insights and Lessons Introduction

Conference, Higher Education, Learning Analytics, School, Workshop

On September 11, 2023, the 10th Learning Analytics Workshop took place during the DELFI’23 and HDI’23 conferences in Aachen, Germany. This year marked a special milestone for the workshop as it celebrated "Ten years of learning analytics in German-speaking space: Success, failure and lessons learned." Co-organized by Ioana Jivet and featuring Hendrik Drachsler as a panelist, the workshop aimed to provide a comprehensive platform for sharing experiences, discussing research, and contemplating the future of learning analytics. A decade in review learning analytics has come a long way since its inception. Initially a niche area, it has now become an integral part of e-learning research, gaining prominence at international conferences like LAK and EDM. The recent pandemic-induced digitization in educational institutions has only accelerated this trend, making LA more visible and…

Sep112023 by Prof. Dr. Hendrik DrachslerNo Comments

Podium Royal’s’ Citizen Dialogue: AI – Fantastic Tool or Future Nightmare?

Artificial Intelligence, Citizens science, Invited talk, Learning Analytics, Transfer Activity

A Reflective Look at 'Podium Royal's' Citizen Dialogue: AI - Fantastic Tool or Future Nightmare? On 5th September 2023, Heerlen's Royal Cinema had become more than just a movie house. It transformed into a dynamic platform for critical exchange, housing the latest 'Podium Royal.' This monthly meeting place had entertained a lively debate, scrutinizing AI's escalating prominence in our lives. The quaint interiors of the Royal Cinema echoed with the contemplations of concerned citizens. Artificial Intelligence or AI's omnipresence was the crux of the discussion. Visible in everyday activities, from supermarket self-scanners to self-driving cars, from online shopping algorithms to medical software detecting breast cancer – the omnipresence of AI was universally acknowledged. But this prevalence has also raised several unsettling thoughts - are we aligning with more totalitarian governments…

Jul102023 by Heather WehnerNo Comments

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…

Jul32023 by Atezaz AhmadNo Comments

Workshops and tutorials at LASI2023 in Singapore

Feedback, Learning Analytics, Summer School, Workshop

During 6-8 June 2023, Ioana Jivet participated in the first in-person Learning Analytics Summer Institute (LASI) since 2019, hosted by the National University of Singapore (NUS). The event included a keynote delivered by NUS President Prof. Tan Eng Chye on how NUS is supporting education with educational data, a keynote delivered by Prof. Rebecca Ferguson on the current challenges and opportunities of the field of learning analytics (LA), an expert panel discussing the role of LA in the age of AI and a series of tutorials and workshops conducted by various professionals in the field of LA. As part of the program, Ioana Jivet led a 5.5-hour workshop and a 2-hour tutorial focusing on effective dashboard design, data visualization, and sense-making. The workshop "Effective Dashboard Design and Data Visualization for…

Jun292023 by Atezaz AhmadNo Comments

Workshop: Teacher Dashboards supported by AI-generated Feedback @ JTEL Summer School 2023

Learning Analytics, School, Summer School, Workshop

At the JTEL Summer School 2023 in La Manga, Spain, we hosted the “Teacher Dashboards supported by AI-generated Feedback” workshop. In this workshop, the Learning Analytics Cockpit (LA Cockpit), a tool developed by us, was presented and optimized by the participants. The LA Cockpit is a teacher dashboard that allows teachers to view the learning status of students through different visualizations and to interact with these visualizations to send feedback to (individual or groups of) students through a feedback system to “steer" the learning process. After a short intro on teacher dashboards and feedback theory, the tool with its visual feedback system was be tested "hands-on" by all participants in the workshop. Afterwards we discussed on how to improve the LA Cockpit and for which purposes teachers would ideally use…

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…

Jun272023 by Atezaz AhmadNo Comments

Workshop @ JTELSS – Visualizing Real-World Learning Analytics

Learning Analytics, Self-Regulation, Workshop

In this workshop, Atezaz Ahmad, Kamran Mir, Jan Schneider and Daniele Di Mitri presented two datasets (IWWB and Presentation Trainer) to the participants. There were three main tasks: Investigate the datasets and how it could be used to design analytics dashboards. - Participants were asked to use HyperChalk and OpenLAIR to design their solutions. What are some limitations of the current datasets. - List the problems/issues with the datasets and how to improve them. What indicators will we get from this datasets. - List/Name the indicators. At the end of the workshop, we asked the participants to fill out a survey. The survey was about evaluating the IWWB+ analytics dashboard. Here are some pictures of the results:

Jun232023 by Heather WehnerNo Comments

Keynote @ #JTELSS23 – Towards Highly Informative Learning Analytics

Conference, Feedback, Higher Education, Keynote, Learning Analytics, Learning Design, Summer School

Hendrik Drachsler delivered a keynote presentation at the 17th EATEL Summer School on Technology-Enhanced Learning (JTELSS 2023) in La Manga, Spain that unveiled groundbreaking insights from the Highly Informative and Learning Analytics (HILA) research program. This exciting initiative explores the effectiveness of HILA and the transformative power of data-enriched learning activities in providing highly informative feedback to students. Here a few highlights from Hendrik's keynote, showcasing the potential of HILA to revolutionize learning outcomes. The Power of Feedback Extensive research has long recognized the profound impact of feedback on learning success. Hendrik's presentation revealed that HILA surpasses traditional feedback methods by offering even higher efficacy. By going beyond simple right or wrong responses, HILA provides actionable feedback that enables students to exercise effective metacognitive control over their learning process. This…

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)…