Artificial Intelligence Archives

Dec42025 by Heather WehnerNo Comments

New Collaborative Research Center [in:just]

We are excited to announce that we will be part of the newly launched Collaborative Research Centre [in:just]. This center is special as it will be the first such center in the field of educational sciences and will focus on justice and participation in the educational system. Its goal is to study why inequality in Germany’s educational system continues to exist and what factors contribute to this. The spokespersons are Prof. Merle Hummrich and Prof. Vera Moser, both of whom work in the Department of Educational Sciences at Goethe University. The first phase of the Collaborative Research Centre [in:just] will be funded by the German Research Foundation (DFG) from 2026 – 2029. A team of 31 researchers from fields such as education, sociology, philosophy, political science, law, geography and computer…

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…

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…

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…

Jun122025 by Heather WehnerNo Comments

New Pub: Tracking students’ progression in developing understanding of energy using AI technologies

Artificial Intelligence, Journal, Publication, School

[caption id="attachment_7553" align="alignright" width="400"] Instructional unit, with pre- and post-test, as well as lesson-set-level assessment[/caption] In physics education, some students fail to have the foundational knowledge of energy concepts needed to engage in societal debates on climate change and energy transformation. A newly published study highlights the potential of AI to identify students with different learning trajectories and to help bridge the knowledge gaps. The researchers used a digital workbook designed to teach energy concepts to collect detailed interaction data from over 500 students. After applying exclusion criteria, data from 172 students were analyzed to identify their productive and unproductive learning curves. [caption id="attachment_7554" align="alignleft" width="400"] Example single choice pretest item[/caption] By using machine learning, specifically random forest models, and natural language processing (NLP), the researchers were able to classify…

May222025 by Heather WehnerNo Comments

New Pub: Pedagogical Framework for Hybrid Intelligent Feedback

Artificial Intelligence, Feedback, Journal, Publication

[caption id="attachment_7525" align="alignright" width="300"] Principles of hybrid intelligent Feedback[/caption] ChatGPT and other Generative Artificial Intelligence (GenAI) tools have quickly become an active part of everyday academic life. Both teachers and students use them regularly to do research, summarize texts or responses, create exercises or quizzes or explain course content. But GenAI needs to be used in a sensible manner and consistent with sound teaching principles. Otherwise, it could lead to an over-reliance on technology and neglect the important roles of teachers and students. Ideally, GenAI should be used to complement rather than replace human-centered education. When pedagogical practices combine the strengths of humans and AI, this can ultimately lead to enhanced creativity, empathy and academic comprehension of students. A recently published paper explores a promising field of human-AI collaboration in…

May152025 by Heather WehnerNo Comments

ML2MT at the “AI and the Future of Society” Symposium

Artificial Intelligence, Conference, Event

At the final symposium “AI and the Future of Society” on April 23, 2025, the ML2MT project team presented key outcomes from their research on human-machine collaboration. Moving beyond traditional AI, the project explored how machines and humans can mutually benefit and learn from each other in a continuous loop. The results of this interdisciplinary project span multiple domains: In medicine, AI systems were found not only to assist diagnoses but also to promote reflection among professionals, encouraging deeper awareness of their decision-making processes. In education, adaptive AI tools were developed to analyze student feedback and help teachers identify learning gaps more effectively. In human-AI interaction, systems were designed to remember and apply user feedback, improving efficiency and reducing the need for repetitive input. Looking ahead, the project will focus…

Mar72025 by Heather WehnerNo Comments

A Warm Welcome to Our Guest Researcher Paola Pavone Salafia

Artificial Intelligence, Team

We are pleased to announce that Paola Pavone Salafia, a doctoral researcher from the University of Macerata (UniMC) and the European University of Rome (UER), will be joining us as a guest researcher from 10.03 – 10.06.205. Paola's work focuses on the use of advanced technologies, particularly Artificial Intelligence (AI), in education to foster inclusive and innovative teaching practices. Her research aligns closely with our ongoing studies on learning disabilities, educational accessibility and teacher agency, particularly in the context of AI-supported teaching methodologies. Paola's research aims to explore how AI can enhance personalized learning for students with special educational needs, as well as investigate the role of AI as a “dual teacher”, which works alongside educators to enrich teaching experiences. Paola will join the HyTea project led by Daniele Di Mitri…

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…

Nov222024 by Daniele Di MitriNo Comments

New Pub: Impact of Artificial Intelligence Based Systems to Improve Mathematics Achievement in Rural Schools

Artificial Intelligence, Journal, New Pub, School

Poor mathematics achievement, especially in rural areas, remains a persistent challenge. Schools in rural areas often struggle to attract and retain highly qualified mathematics teachers, and the teacher shortage across the United States further amplifies this issue. Numerous studies indicate that AI-based systems can enhance mathematics achievement and improve test scores on both standardized and non-standardized tests in K-12 and higher education. These systems offer adaptive and personalized education tailored to the unique needs of each student. By creating learning pathways based on students' current knowledge and offering real-time feedback and support, AI-based systems have the potential to improve learning outcomes across the P-20 educational spectrum. Despite the increasing adoption of AI-based tools, there is limited research on its impact on K-12 classrooms within rural contexts, especially among socioeconomically disadvantaged…