Learning Analytics Archives

Oct72026 by Prof. Dr. Hendrik DrachslerNo Comments

Keynote: 5 years of Highly Informative Learning Analytics

Artificial Intelligence, Conference, Feedback, Higher Education, Keynote, Learning Analytics, Learning Design, Research Methods, School

Five years in forty minutes On 7 October 2026, Hendrik Drachsler gave a keynote at the CBIE 2026 conference in Goiana, Brazil, that tried something unusual: time travel. He compressed five years of field research, seven projects and roughly 5,750 students into one forty-minute talk. The question behind the keynote was simple: after five years of developing and testing Highly Informative Learning Analytics (HILA) in real lecture halls, what do we actually know? Not what we hoped HILA might achieve back in 2020, but what five years of our own research and data now tell us. What HILA set out to do HILA starts with a modest observation: most lecture rooms still offer very little personalisation. Learning analytics promised to change that, but its rollout in Europe stalled on four…

Oct72026 by Prof. Dr. Hendrik DrachslerNo Comments

PhD defense: Congratulations, Dr. Manuel Valle Torre!

Artificial Intelligence, Higher Education, Learning Analytics, PhD defense, School

Today, 07.10.2026 at 15:00, Manuel Valle Torre successfully defended his PhD thesis "Sequences in Data to Represent Learning Processes: What have you tried until now?" at Delft University of Technology. Hendrik Drachsler was honoured to take part as an independent member of the doctoral committee. [pdf-embedder url="https://edutec.science/wp-content/uploads/2026/10/Manuel-defense-slides.pdf"] Manuel's thesis starts with a question every programming tutor knows: "What have you tried until now?" Digital learning environments usually assess only the final product, so this question is hard for them to answer. In three phases, Manuel shows how sequences of learner actions can be used to understand learning processes and support them while they happen. He developed ELAT for analysing edX log data, reviewed the field of learning sequence analysis, and studied problem-solving in data science notebooks. He then built JELAI,…

Sep252026 by Heather WehnerNo Comments

New Pub: Implementation of AI-based Feedback and Assessment – IMPACT Project Evaluation Report

Artificial Intelligence, Feedback, Higher Education, Learning Analytics, Publication, Report

How can universities provide individual feedback and useful support systems to every student when class sizes continue to grow and learner needs become increasingly diverse? Artificial intelligence offers promising opportunities to provide personalized learning and teaching support on a larger scale. Yet as regulations regarding data protection, transparency and the responsible use of AI continue to evolve, institutions face a difficult balancing act between innovation and regulatory compliance. These issues were addressed in the IMPACT project (Implementation of AI-based Feedback and Assessment with Trusted Learning Analytics in Higher Education Institutions), which explored how AI can support students and educators throughout the academic journey. Its goal was to develop AI-based methods for the semi-automated analysis of academic texts, to allow for more effective support in learning, teaching and assessment. A key…

Aug172026 by Prof. Dr. Hendrik DrachslerNo Comments

Invited Talk at the NEES Center, Maceió, Brasil

Higher Education, Invited talk, Keynote, Keynote, Learning Analytics, Learning Design

In August, Hendrik Drachsler was invited to give a talk at the NEES research centre of the Federal University of Alagoas (UFAL) in Maceió, hosted by Prof. Dr Diego Dermeval. The lecture, "Design, Development and Evaluation of Highly Informative Learning Analytics", was organised together with the PPGI graduate programme and drew a full house of 80 participants. Hendrik's argument was straightforward. Most learning analytics is not wrong; it is just not informative enough. Counting clicks and minutes tells a teacher that something happened, not what to do about it. Moving from descriptive to truly informative analytics takes three things: indicators grounded in learning theory, a design process that includes the educators who will use the results, and a governance framework that makes the whole thing defensible. He presented the tools…

Jul22026 by Heather WehnerNo Comments

Congratulations, Dr. Karademir! Turning Data into Pedagogical Action

Alumni, Learning Analytics, PhD defense

On 1 July 2026, Onur Karademir successfully defended his doctoral dissertation at the Goethe-University Frankfurt — and we could not be prouder. Onur joined the EduTec team in February 2021, but his story started even earlier: as a student frustrated by 90-minute maths lectures, he channelled that experience into founding StudyCore, an EdTech startup delivering digital teaching tools to universities and schools. That hands-on instinct — building things that actually reach learners — defined his entire PhD trajectory. His dissertation, Turning Data into Pedagogical Action: Designing the Learning Analytics Cockpit, a Teacher Dashboard for Feedback, tackles one of the most pressing challenges in educational technology: making learning analytics useful in real classrooms. Over three interconnected studies — a proof of concept, a co-design process with secondary school teachers and a…

Dec22025 by Heather WehnerNo Comments

Moving Education Towards Didactical Intelligence

Artificial Intelligence, Event, Invited talk, Learning Analytics

ChatGPT and other GenAI tools are said to be good for learning. But does their usage really empower learners, or does it overwhelm them instead? Studies from Highly- Informative Learning Analytics (HILA) programs show how complex the effects of such AI-tools can be. While dashboards can potentially improve students’ learning outcomes, AI feedback can sometimes be helpful and sometimes be demotivating for students, depending on their feedback literacy. In a recent presentation at IWM Lectures Hendrik Drachsler argues that we need more research into Didactical Intelligence – a framework for understanding when, how and for whom AI and Learning Analytics truly improves learning and when not. Technology alone doesn’t guarantee better outcomes; its success depends on thoughtful integration into pedagogy. He therefore presented the Highly-Informative Learning Analytics research platform. This…

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…

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…

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…