Heather Wehner, Author at EduTec Science

Nov282025 by Heather WehnerNo Comments

Exploring the Future of Digital Teaching at #EduNext25

Artificial Intelligence, Conference, Event, Higher Education

On 26.11.2025 our team had the privilege of participating in #EduNext25, a full-day conference dedicated to the future of digitalization and AI in higher education. Hosted by studiumdigitale at Goethe University Frankfurt, the event brought together educators, researchers and innovators from across Hessen and beyond to discuss how technology can transform teaching and learning. The opening remarks by Prof. Dr. Viera Pirker, Minister TimonGremmels and Prof. Dr. Hendrik Drachsler set the tone: digitalization and AI are not just trends, they are essential tools for shaping the academic experience of tomorrow. One highlight was the EduConnect session, where universities from the HessenHub network and the QuiS program showcased their latest projects and approaches to digital learning. Another highlight was the panel discussion on strategic alliances for future teaching. Experts from various…

Nov142025 by Heather WehnerNo Comments

LAMASS@DiLea Study Report and Data Set Now Published

Empirical Study, Higher Education, Learning Analytics, Project, Publication, Report

What factors influence academic success and dropout rates in digital study formats at universities? What factors and effects at the subjective, curricular and institutional levels can be empirically measured and how do they interact in digital study formats? Can a factor analysis be used to compare digital and face-to-face study formats? The LAMASS@DiLea project team now present the answers to these questions in the newly published project report “LAMASS-Studie: Studienerfolg und Studienabbruch in digitalen Studienformaten”. It is a comprehensive analysis of academic success and dropout rates in digital study formats. The results of the study are valuable for existing digital study formats and for degree programs that wish to boost their use of digital technology. The dataset has also been published and is available to download. Modell des Studienabbruchs in…

Oct312025 by Heather WehnerNo Comments

New Pub: Optimizing Formative Assessment with Learning Analytics

Assessment, Learning Analytics, Literature review, New Pub

The teaching and learning processes in education need to be effective. This is something that all parents, teachers and educational scientists can agree on. To help us track the learners’ achievements and educational progress and ultimately show whether the teaching and learning processes are effective, we rely on formative assessment. Learning analytics has the potential to assist in formative assessment. So far there has not been enough evidence collected to prove this potential support. Thus, many have reservations about the connection between the results of learning analytics and formative assessment models. If the results from learning analytics don’t match well with formative assessment approaches, teachers may be reluctant to trust, understand or use those insights to guide their teaching. This issue is addressed in a recently published study which introduces…

Oct312025 by Heather WehnerNo Comments

New Pub: ChatGPT in Education

Journal, New Pub, Research Methods

Early studies on the usage of ChatGPT in educational settings have reported substantial learning gains from ChatGPT applications. But how valid are these studies? Is using ChatGPT in education really as effective as it seems? A newly published paper takes a deeper look at key findings from past debates about media and teaching methods to reveal frequent conceptual challenges that arise in studies about the effectiveness of ChatGPT. When researchers compare different types of media for learning, they sometimes mix up the effects of the teaching style with the features of the technology. If the instructional methods and the technological features are confused with one another, it makes it difficult to be able to interpret the actual effect of ChatGPT. To help pinpoint the conceptual difficulties of these efficacy studies,…

Sep172025 by Heather WehnerNo Comments

New Pub: Design, Development and Evaluation of HILA

Artificial Intelligence, Keynote, Learning Analytics, Publication

How can AI-supported learning analytics be integrated into educational processes in a significant way? How can they be designed, tested and further developed to effectively improve teaching and learning practices? These questions were addressed by Hendrik Drachsler in his keynote at the Learning AID 2024 in Bochum, which has recently been published in the conference proceeding “Learning Analytics, Artificial Intelligence und Data Mining in der Hochschulbildung”. In his keynote, Hendrik stresses the importance of content-specific applications that address genuine educational needs and are supported by empirical evidence demonstrating their effectiveness. The key to fostering adaptive and sustainable learning experiences is to understand and accommodate learners’ individual needs. Hendrik argues that technological progress alone is not sufficient to improve education. His ongoing research shows that AI-supported learning analytics can only bring…

Sep122025 by Heather WehnerNo Comments

A Heartfelt Welcome to our New Colleague Sricharan Sammeta

Team

We’re happy to extend a warm welcome to a new addition to our extended team, Sricharan Sammeta, who has just started this September for the Educational Computer Science unit of DIPF and will be working closely with us. Sricharan completed his Master of Engineering in Mechatronics at the Technische Hochschule Rosenheim, where he focused on applying artificial intelligence and machine learning to solve complex engineering and data-driven challenges. Over the past years, he has worked on projects that involved implementing core machine learning and AI concepts - from deep learning and generative AI to MLOps and multi-agent LLM systems. His work has focused on transforming advanced AI methods into scalable, real-world applications using platforms like AWS and GCP. During his time at DIPF, Sricharan plans to develop AI-powered tools designed…

Sep122025 by Heather WehnerNo Comments

A Big Welcome to our New Colleague Hruday Kumar Kolla

Team

We’re delighted to welcome Hruday Kumar Kolla to the Educational Technologies team at DIPF! Hruday joined us this September as an AI Software Developer, working under the guidance of Prof. Hendrik Drachsler. Hruday brings a rich background in artificial intelligence and software development. He completed his Master’s degree at the University of Siegen, where he also conducted his thesis at Bosch, focusing on unsupervised AI for defect detection. Over the past four years in Germany, he has explored a wide range of AI use cases, gaining hands-on experience across industries. Before joining DIPF, Hruday spent over a year at Mercedes-Benz in Sindelfingen as an intern and working student, developing AI-based web applications and working on cloud deployment strategies. Now at DIPF, Hruday is excited to apply his expertise to the…

Sep122025 by Heather WehnerNo Comments

A Warm Welcome to our New Colleague Leon Camus

Team

We happily introduce Leon Camus, who has joined our team this September as a doctoral researcher. Leon’s research journey began during his Bachelor's studies, where he explored short answer grading in educational contexts. He continued this line of work during his Master's in Computer Science at TU Darmstadt, focusing on the implementation and enhancement of short answer grading systems with integrated feedback mechanisms. Throughout his academic career, Leon has gained extensive experience in digital learning environments—designing, extending and applying them in various educational settings. His expertise spans natural language processing, educational technology and automated assessment. Building on his foundation in natural language procesing, his PhD research focuses on automatic annotation of textual data. We look forward to accompanying you on your academic journey and welcome you to the EduTec team!

Jul212025 by Heather WehnerNo Comments

New Pub: How Feedback Literacy Moderates Student Perceptions of Feedback

Feedback, Higher Education, Journal, New Pub

Whether or not students receive effective feedback can have a big impact on their overall learning process. The more qualitative and personalized the feedback is, the more effective it is in supporting the students with their individual learning goals. The latest developments in learning analytics and artificial intelligence have made it possible to provide a large number of students with personalized feedback automatically and simultaneously. Despite these technical advances, there is still much to be learned about the ability of students to use this feedback for their scholastic benefit. So far, only a limited number of studies have examined the impact of feedback literacy on students' perceptions of feedback, which is particularly true for technology-enhanced learning environments. A newly published paper addresses this issue and focuses on how students interpret…

Jun272025 by Heather WehnerNo Comments

New Pub: How Learners Interpret and Respond to Feedback in Learning Analytics Dashboards

Feedback, Journal, New Pub, Self-Regulation

Online learning platforms can generate a great amount of data about how students engage in the learning process. This data is used to develop learning analytics dashboards as feedback tools to assist students in self-regulating their learning. But how do students use these tools to self-reflect? And how can they use the information provided by learning analytics dashboards (LAD) in a meaningful way? In a new publication these questions are explored using the data from an experimental study with 417 students, which investigated how the students interpret and respond to feedback from LADs. In the study, the students were divided into 2 groups: A treatment group was given personalized self-regulated learning (SRL) feedback from the LAD on the basis of interactions and progress; A control group was given minimal feedback…