Research topic Archives - Page 4 of 21

Feb52025 by Heather WehnerNo Comments

New Pub: Memorizing Plans With an App

Journal, Learning Analytics, Publication, School, Self-Regulation

Mobile phones and devices are an integral part of the daily lives of students, and educators are increasingly trying to take advantage of this day-to-day usage for educational purposes. But how can mobile technologies, like app-based learning activities, be designed to effectively help students in the learning process? [caption id="attachment_7331" align="alignright" width="500"] Screenshots of the reading (A), puzzle (B), and emoji (C) activity[/caption] A newly published study from Daniel Biedermann, Jasmin Breitwieser, Lea Nobbe, Hendrik Drachsler and Garvin Brod tries to answer this question. Using the PROMT app, the team compared three types of learning activities used by children aged 9 to 14 years to memorize one learning plan per day over the course of 27 days. The activities varied in their planned level of cognitive engagement based on the…

Jan242025 by Heather WehnerNo Comments

New Pub: The Student Feedback Literacy Instrument (SFLI)

Feedback, Further Education, Journal, New Pub

In the context of higher education, feedback plays an especially important role in the learning process. For students it is not only important to receive feedback, but also to be able to understand and process this feedback in a manner which helps them make learning progress. The knowledge, skills and attitudes students need to navigate the feedback process successfully are referred to as feedback literacy. A recently published study presents a refined version of the Student Feedback Literacy Instrument (SFLI), which offers a powerful tool to measure feedback literacy construct across multiple languages and cultures. The SFLI aims to measure feedback literacy across two key dimensions: feedback attitudes and feedback practices. The full-length version of the instrument was recently refined and tested, alongside a short-form version (SFLI-S), in a multilingual…

Jan152025 by Heather WehnerNo Comments

Legal Assessment of AI and Learning Analytics in Teaching and Learning

Artificial Intelligence, Learning Analytics, Press, Report

As with any new technology, the laws and regulations relating to them seem to always be one step behind and one can feel somewhat lost in a foggy, legal grey zone. The same is true for the use of AI. Using AI in a legally compliant way depends on its specific application, its range and the technical details. This has to be checked and regulated in accordance with the law in order to be able to use each AI technology safely, for the intended purpose and in compliance with data protection regulations. But how can universities know if they are using Learning Analytics and AI technologies in a legally compliant manner? In a first step in answering this question, the Goethe University has recently published an extensive legal assessment about…

Dec32024 by Heather WehnerNo Comments

PhD Defense: Achieving Gender Equity in STEM Education With CSCL

Computer-supported collaborative learning, Gender, PhD defense

Our treasured colleague, Dana Kube, successfully defended her PhD thesis on November 29th at the Open University in Heerlen, Netherlands. We warmly congratulate Dr. Kube for her great academic achievements and advancements in the field of CSCL and gender research! In her dissertation titled “Gender & CSCL – Exploring the Relation of Computer-Supported Collaborative Learning (CSCL) and Gender Bias in Research and Practice”, Dana emphasizes that gender equity is not just a goal, but a necessity for sustainable development and illustrates the role of gender in research and practice. It remains a challenge to understand which aspects of gender are most important in research, and how to interpret findings in the context of pervasive gender stereotypes and biases. This issue is especially pressing in the field of STEM, where gender…

Dec22024 by Prof. Dr. Hendrik DrachslerNo Comments

PhD Defense: A Bridge between Learning Analytics and Learning Design

Book, Event, Higher Education, Learning Analytics, Learning Design, Multimodal Learning Analytics, PhD defense, Publication, School

We warmly congratulate our esteemed associate partner, DR. Marcel Schmitz, on successfully defending his PhD thesis on November 29, 2024. Marcel is a senior lecturer and researcher in Data Intelligence and the Applied Data Science & Artificial Intelligence program at Zuyd University of Applied Sciences. In his dissertation, titled “Towards Learning Analytics-Supported Learning Design”, he focused on how education can be better personalized by incorporating learning analytics already in the design and course planning. His dissertation was supervised by Prof. Dr. Hendrik Drachsler (DIPF | Leibniz Institute & Goethe University Frankfurt), with co-supervisors Prof. Dr. Maren Scheffel (Ruhr University Bochum) and Dr. Roger Bemelmans (Zuyd University of Applied Sciences). Marcel's dissertation provides actionable strategies not only for higher education but also for other educational sectors. His work envisions a future…

Nov182024 by Heather WehnerNo Comments

New Pub: Understanding Learning Engagement in Asynchronous Online Settings

Higher Education, Journal, Learning Analytics, Publication

A newly published study illustrates the complexities of learning engagement (LE) in asynchronous online settings (AOSs) for university students. For university students it can be difficult to learn in such environments since these lack real-time interactions. This also makes it difficult for teachers to measure how engaged students actually are with their study materials. Through trace data, learning analytics can be used as a foundation to analyze students’ learning methods and LE. The study investigates whether LE can be characterized by the sub-dimensions: effort, attention and content interest. The study also explores the question of which trace data from student behavior within AOSs can best represent these factors of LE in self-reports. The research involved 764 university students and utilized best-subset regression analysis to determine which indicators most reliably represent…

Nov82024 by Heather WehnerNo Comments

PhD Defense on Software Infrastructure for Contextualized Learning Analytics in Online Education

Learning Analytics, PhD defense

We warmly congratulate our esteemed alumni George-Petru Ciordas-Hertel on the successful defense of his PhD thesis this past Tuesday, 05.11.2024! Way to go, Dr. George! We are proud of you for achieving this milestone! At universities we have seen a big shift to online education in the past ten years, as universities have continuously integrated technology into educational environments. This development has brought students and educators new possibilities, but also challenges. A promising method is Learning Analytics (LA), which uses data to gain insights into learning behaviors and enhance educational outcomes. In his dissertation, George highlights a critical limitation in traditional learning analytics: they often overlook significant aspects of learners’ digital and physical environments. His research proposes that integrating contextual information from these environments could make LA even more effective.…

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…

Oct172024 by Atezaz AhmadNo Comments

Girls and Women in STEM Forum of the European Institute for Innovation and Technology (EIT)

Artificial Intelligence, Award, Conference, Digitalisation, Event, Transfer Activity

Our Co-Worker Dana Kube was selected to be a jury member of this year's Girls and Women in STEM Award of the European Institute for Innovation and Technology (EIT) in Budapest. Read her report: I'm still buzzing with the energy from the Women and Girls in STEM Forum 2024! It was an inspiring day filled with conversations on AI, inclusion, and the future of STEM with girls and women from all over Europe. The keynote speakers, Pia Ahrenkilde Hansen and Ilaria Tagliavini, emphasised the urgent need for more women to lead the next generation of scientists in Europe, highlighting the European Commission’s commitment to this mission through strategic plans for STEM education. Ilaria celebrated Girls Go Circular’s expansion to 32 countries, recognising the need for a mindset shift towards greater…

Oct142024 by Heather WehnerNo Comments

New Pub: Conceptual Map Assessment Through Structure Classification

Assessment, Conference, Feedback, Publication, School

In educational settings concept maps are often chosen as a tool to help knowledge constructions be visualized. While mapping out concepts and their relationships, students are able to show how well (or not well) they understand certain subjects. A newly published study, which was presented at the AIED 2024 in Recife, Brazil, takes their usage a step further, examining the structural patterns in concept maps and developing an automated system to classify them. The researchers categorized 511 different concept maps into three key structures: spoke, network and chain. Each structure type can provide its own insight about the deepness of students’ understanding. For example, a "spoke" structure may indicate a surface-level understanding, while a "network" might reflect a more complex comprehension. The researchers trained multiclass classification models using statistical data…