Self-Regulation Archives - EduTec Science

Oct232024 by Heather WehnerNo Comments

New Pub: How Can Learning Analytics Dashboards Help Improve Students’ Self-Regulated Learning?

Conference, Empirical Study, Learning Analytics, Publication, School, Self-Regulation

Learning Analytics Dashboards (LADs) are important and widely-used tools used to give feedback to students and to aid them in their self-regulating learning process. Much has been done to investigate the design of LADs, but there is still a lack of knowledge regarding how students interpret the information shown on LADs and how they actually use these tools while learning. In a newly published study, we try to fill this gap. In an experimental study, we compared two groups of students. One group was given personalized self-regulared learning (SRL) feedback on their interactions and learning advances. The control group was only given minimal feedback calculated from the average class scores. After reviewing their feedback, students submitted written reflections on how they would adjust their study behavior. The researchers then analyzed…

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…

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…

Sep292023 by Ioana JivetNo Comments

Conference: Demo and paper presentations at EARLI 2023

Artificial Intelligence, Conference, Feedback, Higher Education, Learning Analytics, Self-Regulation, Workshop

This year, the biannual EARLI conference took place between 21-26 August 2023 in Thessaloniki, Greece and EduTec member Ioana Jivet represented DIPF with two contributions. The 1.5-hour ICT demo Closing the Feedback Loop - A Moodle Plugin for (Semi-)automated Feedback introduced participants to the work of PhD student Tornike Giorgashvili, supervised by Hendrik Drachsler and Ioana Jivet, and the outcomes of the HIKOF project: LearnDashPlus, a Moodle plugin which helps teachers provide written feedback in large courses. This tool also prompts students to reflect on the feedback they received and allows teachers to explore if such feedback helps students to understand their learning behavior and improve their learning performance. Our tool is intended to work as an educational intervention and an instrument of dialogue between teachers and students and thus closing…

Sep262023 by Daniel BiedermannNo Comments

New publication: Use of digital self-control tools in higher education

Empirical Study, Higher Education, Open access, Publication, Research topic, Self-Regulation, Target group

Digital Self-Control Tools in Higher Education: A Dive into Effectiveness and Perception While the accessibility to information and the myriad of online learning resources offer a wealth of benefits, the potential for distraction can hinder academic progress. Addressing this paradox, our educational technologies research group has delved into the realm of digital self-control tools (DSCTs) to better understand their utilization, effectiveness, and perception among higher education students. Our findings have been published in the article "Use of digital self-control tools in higher education – a survey study" in the journal "Education and Information Technologies". A widespread issue among students today is the struggle between immediate gratification and the pursuit of long-term academic goals. Distractions such as social media browsing and video watching can often compete with essential study time. The…

Jun282023 by Heather WehnerNo Comments

New pub: Fostering children’s acceptance of educational apps

Journal, Learning Design, School, Self-Regulation

In the field of educational applications (apps), the focus has shifted from mere functionality to creating enjoyable and beneficial learning experiences for children. A recently published article sheds light on the influence of redesigning a mobile learning activity in an app to enhance its appeal and usefulness to young learners. By exploring the relationship between children's enjoyment, intention to use and the incorporation of emojis, this study provides valuable insights into optimizing educational apps. The study involved 103 children aged 9 to 14 years, who participated in a 27-day exploration of a mobile learning app. The objective was to determine how different learning activities influenced children's intention to use the app. The researchers revamped a traditional learning activity, replacing it with an emoji-based representation of learning plans. Two other standard…

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:

Apr122023 by Daniel BiedermannNo Comments

Paper and presentation about the topic of detecting disengaged reading at LAK23

Conference, Conference, Event, Higher Education, Publication, Research topic, Self-Regulation, Target group

At the recent Learning Analytics and Knowledge Conference (LAK23), Daniel Biedermann presented his paper "Detecting the Disengaged Reader - Using Scrolling Data to Predict Disengagement during Reading," to shed light on the potential for early detection of disengagement in readers. The paper presents a unique method for early disengagement detection that relies solely on the classification of scrolling data. By transforming scrolling data into a time series representation, each point of the series represents the vertical position of the viewport in the text document. Time series classification algorithms are then used to evaluate the data.The results were promising, with the method able to classify disengagement early with up to 70% accuracy. However, the study also observed differences in performance depending on which texts were included in the training dataset. Biedermann…

Dec42022 by Ioana JivetNo Comments

Invited talks about providing feedback with learning analytics

Assessment, Feedback, General education, Invited talk, Learning Analytics, Self-Regulation

In the month of November, Ioana Jivet was invited to share her work on two occasions. The first was an invited lecture in the course FDH3006 Introduction to Learning Analytics part of a PhD Program at KTH Stockholm in collaboration with the University of Bergen, Norway and the University of Copenhagen, Denmark. The talk covered the topic of "Generating highly informative feedback with learning analytics" and addressed the question of how we can design effective feedback to students in online environments using learning analytics. The second talk was given as part of the event 100 DAYS OF... Data for Learning organised by the Centre for Education and Learning at TU Delft. The presentation covered the topic of student facing-learning analytics and goal setting. The talk was recorded and is available…

Nov22022 by Atezaz AhmadNo Comments

Presentation: Atezaz participated in the ICDLE conference and presented a new publication

Artificial Intelligence, Conference, Conference, Feedback, Further Education, Learning Analytics, Lifelong Learning, Open access, Publication, Self-Regulation

Our paper titled "Caught in the Lifelong Learning Maze: Helping People with Learning Analytics and Chatbots to Find Personal Career Paths" was accepted at the 13th International Conference on Distance Learning and Education (ICDLE 2022) held at the University of Barcelona, Spain. Atezaz Ahmad participated in the conference and presented their publication. The article will be published (open access) in the International Journal of Information and Education Technology. Abstract: Current lifelong learning platforms offer users a query option to select a wide variety of courses. However, finding a suitable course among the seemingly endless catalogs of options presented by the platforms is not straightforward. We argue that digital counseling can enhance this process. In this paper, we present a set of three formative studies where we explored the main aspects…