Learning Analytics Archives - Page 2 of 12

Jul92024 by Heather WehnerNo Comments

Successful PhD Defense: Understanding Self-Regulated Learning in Blended Learning Environments

Learning Analytics, PhD defense, School, Self-Regulation

On the 28th of June Hendrik Drachsler had the honor of being a jury member for the PhD defense of Esteban Villalobos at the University of Toulouse. Esteban successfully defended his thesis titled “Developing a Learning Analytics framework to understand the temporal behavior of students in Blended Learning Environments“. Especially in Blended Learning (BL) settings, Self-Regulated Learning (SRL) is crucial for student success. These environments require students to manage their learning not only in online, but also in traditional in-person activities. Esteban’s thesis advances our understanding of SRL in BL contexts through a comprehensive approach, using Learning Analytics (LA) techniques as well as the latest Sequence Analysis (SA) advancements to examine students’ behaviors via trace data and self-reported measures. One of the main goals of his thesis is the manifestation…

Jun102024 by Joshua WeidlichNo Comments

New Pub: Emotional and motivational effects of automated and personalized feedback

Computer-supported collaborative learning, Empirical Study, Feedback, Higher Education, Journal, Learning Analytics, New Pub, Open access

With increasingly large student numbers, providing personalized teacher feedback becomes untenable. On the other hand, providing students feedback about their work is an integral part of ensuring student support throughout their learning trajectory. Fortunately, Learning Analytics now makes it feasible to automatically deploy feedback to many students at once. However, the design of effective feedback still remains an area of investigation Joshua Weidlich, Aron Fink, Ioana Jivet, Jane Yau, Tornike Giorgashvili, Hendrik Drachsler, and Andreas Frey's recently published paper in the Journal of Computer-Assisted Learning focused on one key design feature: the reference frame. Any feedback content must be formulated in reference to some performance level, be it the average of the student group (social comparison), the desired performance level (criterion-referenced comparison), or past performance. A longstanding literature on this…

May242024 by Heather WehnerNo Comments

FoLA supports Simulation-based Training for High-risk Clinical Situations

Assessment, Empirical Study, Feedback, Further Education, Higher Education, Learning Analytics, Learning Design, medical education, Multimodal Learning Analytics, Workshop

From May 16th to 17th, 2024, Hendrik Drachsler and Marcel Schmitz (TETRA AI, ZUYD University of Applied Science) had the pleasure of providing a FoLA workshop at the College of Anaesthesiologists of Ireland (CAI) in Dublin, Ireland, under the support of the Insight research centre. Together with members from CAI and from the ASSERT Centre, College of Medicine and Health, University College Cork (UCC), they used the FoLA tool to plan a simulation-based training for high-risk clinical situations using highly informative feedback. Data from these trainings will be collected and analyzed to determine how effective this training is in improving the performance of the attendees. The study is being planned to take place with around 100 doctors in training at two simulation training centers: at ASSERT Centre UCC and at…

May212024 by Gianluca RomanoNo Comments

How to Implement and Scale Learning Analytics Infrastructures in the Cloud @ #JTELSS24

Critical Online Reasoning, Higher Education, Learning Analytics, Summer School, Workshop

At the 18th EATEL Summer School on Technology-Enhanced Learning (JTELSS 2024) in Gabicce Mare, Pesaro, Italy, Gianluca Romano and Sebastian Gombert conducted the workshop "From Learner Behavior to Big Data: How to Implement and Scale Learning Analytics Infrastructures in the Cloud”. In the ever-evolving world of cloud computing, Azure stands out as a robust platform offering a myriad of services and tools to help businesses innovate and scale. Recently, we had the chance to delve deep into Azure's ecosystem, exploring its billing structures, infrastructure capabilities, and budgeting models. Here's a glimpse into what we learned and how you can leverage Azure for tracking user behavior and managing costs effectively. One of the foundational aspects of working with Azure is understanding its billing structure, which is organized into tenants, subscriptions, and…

May92024 by Onur KarademirNo Comments

New Pub: I don’t have time! But keep me in the loop: Co-designing requirements for a learning analytics cockpit with teachers

Empirical Study, Learning Analytics, New Pub, Research Methods, School

Teacher dashboards can help secondary school teachers manage online learning activities and inform instructional decisions by visualising information about class learning. However, when designing teacher dashboards, it is not trivial to choose which information to display, because not all of the vast amount of information retrieved from digital learning environments is useful for teaching. Information elicited from formative assessment (FA), though, is a strong predictor for student performance and can be a useful data source for effective teacher dashboards. Especially in the secondary education context, FA and feedback on FA, have been extensively studied and shown to positively affect student learning outcomes. Moreover, secondary teachers struggle to make sense of the information displayed in dashboards and decide on pedagogical actions, such as providing feedback to students. Objectives: To facilitate the…

May72024 by Atezaz AhmadNo Comments

New Pub: Students Want to Experiment While Teachers Care More About Assessment! Exploring How Novices and Experts Engage in Course Design

Computer-supported collaborative learning, Conference, Conference, Higher Education, Learning Analytics, Learning Design, New Pub, Open access, Open science, Publication, Technical paper

Abstract: Learning Design (LD) is the strategic orchestration of educational components to create a rewarding experience for students and educators. Adapting it to real-world scenarios with evolving technologies, like learning analytics (LA), adds complexity but offers the potential for enhanced learning outcomes and engagement. Prior research highlights the growing importance of LA in informing LD decisions. The FoLA2 method offers a collaborative approach to course design considering LA implications. This study pursues two primary objectives. Firstly, to enhance the FoLA2 method by granting course designers access to the Open Learning Analytics Indicator Repository (OpenLAIR) that facilitates visual connections between LD pedagogies, LDLA activities, LA indicators and their metrics. Secondly, to explore how novice and expert groups utilize the FoLA2 methodology to design a course in Technology Enhanced Learning. The findings…

May72024 by Atezaz AhmadNo Comments

Atezaz’s Conference Paper Presentation at CSEDU in Angers, France

Conference, Conference, Event, Learning Analytics, Learning Design, Publication

Atezaz shared insights from their paper titled "Students Want to Experiment While Teachers Care More About Assessment! Exploring How Novices and Experts Engage in Course Design" at the CSEDU 2024 conference in Angers, France, delving into its implications and findings. Additionally, this paper received a nomination in the Best Student Paper category.

Dec142023 by Prof. Dr. Hendrik DrachslerNo Comments

PhD defense on Technological Responses to Distracting Media Multitasking in Digital Learning Environments

Award, Higher Education, Learning Analytics, PhD defense, School, Self-Regulation

Today, we proudly acknowledge the remarkable achievement of our team member, Daniel Biedermann, in successfully defending his PhD thesis to become Dr. Biedermann. Woohoo, congratulations! In our modern world, the reality of digital distractions through the attention economy cannot be denied. Countries like the Netherlands, for instance, are planning to ban mobiles from classrooms starting from 2024. Daniel's PhD work centered on the complex challenges of digital media distraction, a phenomenon that's prevalent largely due to our pervasive use of social media and notification systems on our phones, PCs, and tablets. Presented in his disputation, Daniel argued the need for a context-sensitive system to gain a more profound understanding of digital media distraction. In addition, Daniel addressed the crucial subject of digital self-control tools (DSCTs). His research, which provided a…

Dec72023 by Heather WehnerNo Comments

Exciting New BildungPLUS Podcast: Learning Analytics in the Age of AI

Artificial Intelligence, Learning Analytics

The studiumdigitale Podcast BildungPLUS invites listeners on a riveting journey into the dynamic world of educational research in the new episode titled “Learning Analytics in the Age of AI”. Prof. Dr. Hendrik Drachsler, Prof. Dr. Bart Rienties and Dr. Eyal Rabin unveil their recent experiences in Learning Analytics, sharing firsthand accounts of breakthroughs and challenges. With a keen focus on AI, the episode delves into anticipations surrounding artificial intelligence's transformative role in shaping personalized learning experiences. Stay tuned for a brief but insightful exploration of the future of education through the lens of Learning Analytics research and innovative AI applications. https://open.spotify.com/episode/5MMqdLhJoJcnwy9jSFDIN2?si=0d64ada4b61e4017&nd=1&dlsi=44dc68d0ceb445fa

Dec52023 by Prof. Dr. Hendrik DrachslerNo Comments

3rd IMPACT consortium meeting, a deep-dive into the rollout of Learning Analytics in the times of generative AI

Artificial Intelligence, Event, Higher Education, Learning Analytics, Project

The IMPACT project held its third project meeting in Hagen, Germany, from 30.11-01.12.2023. The IMPACT project seeks to enhance higher education through the sizable implementation of Artificial Intelligence procedures for (partially) automated text analysis. Along the Student Life Cycle, prospective and current students receive highly informative, personalized feedback based on text during the orientation and entry phases, throughout the course of their studies (formative assessment), and upon the completion of academic performances (summative assessment). Supported by change management based on the SHEILA process model, five German universities are implementing text-based AI procedures. These include chatbots, personalized feedback systems for formative and summative assessments. The interdisciplinary consortium leverages internationally-tested open-source software solutions, along with shared standards for interoperability in higher education with learning management systems like Moodle, Stud.IP, ILIAS, Online Study…