Author name: Mrupset

What does meaningful digital engagement really look like? In AI-supported higher education, simply logging in, clicking on resources or using a chatbot does not necessarily mean that a student is meaningfully engaged. Deliverable 5.2 of the HITS Project explores how digital academic engagement can be understood through two complementary dimensions: Digital Academic Commitment and Digital […]

What if effective AI tutoring started by understanding how students actually learn? This fundamental question drives Deliverable 5.1 of the HITS Project, which explores the analytical and strategic foundations of the HITS chatbot, demonstrating how understanding academic engagement patterns can lead to more meaningful and personalized support. From Theory to Profiles: The Foundations of the

How do you build a testing tool that’s fair for every learner – not just accurate on average? We asked the statistics to answer. Deliverable T4.3 of the HITS Project lays out the methodology behind the HITS psychometric tool, built on Item Response Theory (IRT). Instead of relying on a single reliability score, the model

What do students, teachers and tutors actually need from an AI tutoring system? We asked them directly. Deliverable T4.2 of the HITS Project reports on a Participatory Action Research study exploring the factors that promote, or hinder, pro-digital behaviours in higher education. Instead of only measuring technology use, the research listened to the people who

On 2nd April, HITS Project partners (Univerza v Mariboru / University of Maribor Universitatea POLITEHNICA din București Universidad de Valladolid Università di Camerino Pluriversum) gathered tat Vilniaus universitetas / Vilnius University for the 𝒄𝒐-𝒅𝒆𝒔𝒊𝒈𝒏 𝑾𝒐𝒓𝒌𝒔𝒉𝒐𝒑 “𝑻𝒉𝒆 𝑹𝒐𝒍𝒆 𝒐𝒇 𝑨𝑰 𝒊𝒏 𝑯𝒊𝒈𝒉𝒆𝒓 𝑬𝒅𝒖𝒄𝒂𝒕𝒊𝒐𝒏” — a day dedicated to one central question: ℎ𝑜𝑤 𝑐𝑎𝑛 𝑎𝑛 𝐴𝐼-𝑏𝑎𝑠𝑒𝑑 𝑡𝑢𝑡𝑜𝑟𝑖𝑛𝑔

The HITS Project partnership will be present at the 𝐼𝑁𝑇𝐸𝐷 2026 – 𝐼𝑛𝑡𝑒𝑟𝑛𝑎𝑡𝑖𝑜𝑛𝑎𝑙 𝑇𝑒𝑐ℎ𝑛𝑜𝑙𝑜𝑔𝑦, 𝐸𝑑𝑢𝑐𝑎𝑡𝑖𝑜𝑛, 𝑎𝑛𝑑 𝐷𝑒𝑣𝑒𝑙𝑜𝑝𝑚𝑒𝑛𝑡 𝐶𝑜𝑛𝑓𝑒𝑟𝑒𝑛𝑐𝑒, one of the leading international conferences 𝐝𝐞𝐝𝐢𝐜𝐚𝐭𝐞𝐝 𝐭𝐨 𝐝𝐢𝐠𝐢𝐭𝐚𝐥 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐚𝐧𝐝 𝐭𝐞𝐚𝐜𝐡𝐢𝐧𝐠 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐞𝐬 𝐢𝐧 𝐡𝐢𝐠𝐡𝐞𝐫 𝐞𝐝𝐮𝐜𝐚𝐭𝐢𝐨𝐧. ​During the conference, we’ll present the paper written by partners Univerza v Mariboru / University of Maribor Vilniaus universitetas / Vilnius

Partners of the HITS Project developed an 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐚𝐥 𝐜𝐚𝐬𝐞 𝐬𝐭𝐮𝐝𝐢𝐞𝐬 𝐚𝐢𝐦𝐞𝐝 𝐚𝐭 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠 𝐡𝐨𝐰 𝐝𝐢𝐠𝐢𝐭𝐚𝐥 𝐚𝐬𝐬𝐞𝐬𝐬𝐦𝐞𝐧𝐭 𝐭𝐨𝐨𝐥𝐬 𝐚𝐫𝐞 𝐮𝐬𝐞𝐝, and what they actually measure, in higher education contexts. Here follows some of the most relevant cases emerged thanks to this research. 𝗖𝗮𝘀𝗲 𝘀𝘁𝘂𝗱𝘆 𝗳𝗿𝗼𝗺 𝗩𝗶𝗲𝘁𝗻𝗮𝗺 This study tested a multi-criteria assessment model designed to evaluate digital

𝐖𝐡𝐚𝐭 𝐝𝐨 𝐞𝐝𝐮𝐜𝐚𝐭𝐨𝐫𝐬 𝐚𝐧𝐝 𝐚𝐜𝐚𝐝𝐞𝐦𝐢𝐜 𝐬𝐭𝐚𝐟𝐟 𝐧𝐞𝐞𝐝 𝐟𝐨𝐫 𝐇𝐈𝐓𝐒 𝐭𝐨 𝐰𝐨𝐫𝐤 𝐢𝐧 𝐡𝐢𝐠𝐡𝐞𝐫 𝐞𝐝𝐮𝐜𝐚𝐭𝐢𝐨𝐧? Successful integration of High Intelligent Tutoring Systems (HITS) in academic environments requires clear priorities to ensure effective, sustainable use. Based on recent scientific literature, 𝐂𝐡𝐚𝐩𝐭𝐞𝐫 𝟔 of the HITS WP3 Handbook 𝐬𝐮𝐦𝐦𝐚𝐫𝐢𝐬𝐞𝐬 𝐭𝐡𝐞 𝐤𝐞𝐲 𝐧𝐞𝐞𝐝𝐬 𝐨𝐟 𝐞𝐝𝐮𝐜𝐚𝐭𝐨𝐫𝐬 𝐚𝐧𝐝 𝐚𝐜𝐚𝐝𝐞𝐦𝐢𝐜 𝐬𝐭𝐚𝐟𝐟. 𝐏𝐞𝐫𝐬𝐨𝐧𝐚𝐥𝐢𝐬𝐞𝐝 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 pathways

On 27 November 2025, the HITS consortium met at the University of Maribor for a full day of work dedicated to the future of AI-driven tutoring systems in higher education. Among methodological updates, impact assessment discussions, ethical frameworks and outreach strategies, the highlight of the day was undoubtedly the co-design workshop with Informatics students.  Co-Designing

With the increasing integration of artificial intelligence in universities, the necessity for effective regulation becomes paramount. International organizations such as UNESCO and the OECD are proactively working to develop guidelines that ensure ethical and responsible AI usage in educational contexts. These regulations tackle pressing issues like student data privacy, algorithmic accountability, and equitable access to