CategoriesJournal article

New pub: Through the Telescope: A Systematic Review of Intelligent Tutoring Systems

The systematic literature review led by Gianluca Romano has been published in the International Journal of Artificial Intelligence in Education by Springer Nature

"Through the Telescope: A Systematic Review of Intelligent Tutoring Systems and Their Applications in Psychomotor Skill Learning"

This review fits in with our broader effort as a group on how AI can be supportive for psychomotor skills, i.e. those skills which require mind-body coordination, and that have a high degree of physicality.

The article systematically reviews "Intelligent Tutoring Systems (ITS)" and finds that current ITS primarily support fine, simple, and technical skills, such as those in medical and sports training.

We highlight gaps in addressing complex, gross, and open skills. For the future of the field, we call for ITS to incorporate broader physical skill dimensions, personalised feedback, and training theories to achieve more effective, holistic skill development. In the future, we expect ITS to move beyond repetition and expert comparison toward adaptive, theory-driven learning support.

Check it here Open Access 🔓

Romano, G., Schneider, J., Di Mitri, D. et al. Through the Telescope: A Systematic Review of Intelligent Tutoring Systems and Their Applications in Psychomotor Skill Learning. Int J Artif Intell Educ (2025). https://link.springer.com/article/10.1007/s40593-025-00526-1

CategoriesCall for ProposalsWorkshops

CfP Advances in Neural and Hybrid Architectures for Education workshop

🌐 Special Session Announcement — IEEE WCCI 2026

We are pleased to share that the Special Session “Advances in Neural and Hybrid Architectures for Education” has been accepted within IEEE WCCI 2026, which will take place in Maastricht from 21 to 26 June 2026.

📌 Motivation & Scope
Artificial Intelligence and Neural Networks are increasingly shaping the way we understand and support human learning. Modern educational environments produce large amounts of multimodal and dynamic data—from learner interactions to behavioural and cognitive signals—which can be modelled through neural and hybrid approaches to design intelligent, adaptive, and personalised learning systems.
This Special Session aims to bring together researchers working at the intersection of neural computation, learning analytics, cognitive modelling, and educational technologies. We welcome contributions on deep learning architectures, neuro-symbolic approaches, hybrid reasoning models, explainability in educational AI, affective computing, personalisation strategies, and ethical aspects in human-centred learning systems.

🧭 Topics of Interest include (but are not limited to):
• Neural and hybrid architectures for learning analytics and adaptive education
• Deep learning for learner modeling and performance prediction
• Cognitive and affective modeling in educational contexts
• Personalization and recommendation in intelligent tutoring
• Neuro-symbolic and hybrid reasoning for educational data
• Explainability, fairness, and trust in educational AI
• Multimodal and temporal learning data
• Human-centered design and evaluation of educational AI
• Knowledge graphs and AI for personalization, analytics, and ethics

👥 Organizers
- Hasan Abu-Rasheed (Goethe University Frankfurt)
- Gabriella Casalino (Università degli Studi di Bari )
- Daniele Di Mitri (German University of Digital Science)
- Daniele Schicchi (CNR ITD - Istituto Tecnologie Didattiche)
- Davide Taibi (CNR ITD - Istituto Tecnologie Didattiche)

📅 Paper Submission Deadline
January 31, 2026 (23:59 AoE, UTC-12) — no extension will be given

📄 Full paper: 6 pages, IEEE conference format

🔗 More information: https://lnkd.in/dzuapfYe

CategoriesArtificial Intelligence

What do I think about AGI

A few days ago, I chatted with a clever 16-year-old who, after learning what I do for work, asked me what I think about AGI (artificial general intelligence). I explained that I see AGI primarily as a cult, a narrative constructed by Silicon Valley actors that masks what is fundamentally about profit accumulation and power consolidation behind the veneer of building a "supernatural intelligence".

In the last few weeks, I have been avidly reading Karen Hao's book, Empire of AI, which articulates these mechanisms with clarity. A book I suggest everyone read to learn more about the current philosophy of scale, extraction, and technological imperialism, pioneered by Sam Altman and OpenAI.

I mentioned something the book emphasises: the hidden costs of generative AI that we systematically ignore. We imagine generative AI as a weightless technology floating in the cloud, at our fingertips and available whenever we want. Yet, we overlook its profound materiality and its devastating impact on marginalised communities.

I shared the example of data annotators in Kenya and Venezuela who are forced to process disturbing AI-generated content material describing violence and atrocities. Their psychological toll is real: many of these workers have developed post-traumatic stress and other serious mental health consequences. Their labour remains invisible, yet it is essential to every generative AI system we use.

The teenager was surprised. "Nobody talks about this", he said. "What you hear about is the existential threat, the futuristic - robots-taking-over-the-world - scenarios." His observation aligns with what Empire of AI argues: certain fictitious narratives about AI are deliberately amplified to obscure the real stories of people and natural resources consumed under the heavy weight of these technologies.

Then came his most honest admission: he uses GenAI in school, as do all his classmates. This confession did not really surprise me. Even if he feels it's making him intellectually dumber, he continues anyway.

This resonated with something I'd recently read: that educational institutions have a responsibility to prevent deskilling. Yet that's precisely what's happening with generative AI.

The question that haunts me now is how we cultivate critical thinking when the very tools designed to assist us are eroding our capacity to think independently. How do we resist a technology that promises convenience while dismantling the intellectual resilience we need?

CategoriesConference article

New publications at the ECEL conference 2025

Two new publications from our team expanding the Presentable (www.presentable.info) ecosystem!

First, led by the brilliant Nina Mouhammad“From Nervous to Noteworthy: Evaluating SPEAKS, an Educational Software for Speech Content” explores the message composition component of Presentable. SPEAKS serves as a crucial pillar that distinguishes the platform from previous research on presentation training systems. Full paper available (Open Access): https://papers.academic-conferences.org/index.php/ecel/article/view/4104

Second, we are excited to share “Evaluating WEBPOSE, a Posture Feedback System for Oral Presentations”, research led by Stefan Hummel with contributions from Mohamad AlomariNina MouhammadJan Schneider Barnes, and Roland Klemke.

Both papers, to be presented at the 24th European Conference on e‑Learning at the Technical University of Denmark (DTU) under the leadership of Md. Saifuddin Khalid, presents the first results of a web-based prototype for training presentation rehearsal.

WEBPOSE has already been integrated into the latest version of Presentable, further strengthening its multimodal feedback capabilities. Full paper available (Open Access): https://papers.academic-conferences.org/index.php/ecel/article/view/4285

CategoriesJournal article

New pub: key technical features of automated feedback systems - a systematic feature analysis

New publication alert from the HyTea project titled "Enhancing presentation skills: key technical features of automated feedback systems - a systematic feature analysis", led by PhD candidate Stefan Hummel

The article presents a systematic analysis of oral presentation automated feedback systems (OPAFs), which are designed to support public speaking through automated feedback mechanisms.

Our study assessed 14 existing systems across a comprehensive set of 83 functional features and 12 additional aspects. Although there is an increased interest in these systems, we found that the overall implementation rate of key features remains low at just 16%, with notable gaps in critical areas like verbal-nonverbal congruency, adaptive feedback, and content structuring.

Moreover, evaluation methodologies tend to focus heavily on usability and user experience, while aspects such as learning outcomes and pedagogical value are often overlooked. The majority of studies are lab-based, which raises concerns about the generalisability of findings to real-world educational environments.

Our findings emphasise the importance of improved feature integration, real-world testing, and closer collaboration with educators to help transition these tools from experimental prototypes to effective educational technologies.

This is the first journal article published about the HyTea project and contributed substantially to building a solid foundation for Presentable (www.presentable.info).

This milestone was especially significant as it marks my first article published as the last author. Well done, Stefan, thanks to my co-authors and everyone who supported this research.

Paper available Open Access 🔓 here
https://www.inderscienceonline.com/doi/abs/10.1504/IJTEL.2025.148593