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Where is education going? - Prof. Dr. Burak Malik KAYA - Academic Mind

Translated title. Original: Eğitim Nereye Gidiyor? - Prof. Dr. Burak Malik KAYA - Akademik Akıl

The piece argues that education must evolve with technological and societal changes; it critiques older academics for romanticizing the past, emphasizes the need for technology-enabled, interactive, and flexible learning, and calls for updated assessment methods over rote memorization.

With AI entering higher education, researchers warn that teacher training must go beyond using tools - TV Europa

Translated title. Original: Com a entrada da IA no ensino superior, investigadores alertam que treino docente deve ir além do uso de ferramentas - TV Europa

A conceptual review proposes the PEDAL framework to help university teachers design AI-supported learning that keeps human judgment and student thinking central. The authors say the framework is untested and that faculty development should focus on learning design, not just tools and policy.

I think audio or video recordings of the spoken word will be good. — Then it won’t be word against word

Translated title. Original: Tror lyd- eller video­opptak på muntlig blir bra. — Da blir det ikke ord mot ord

The document reports on proposals to record oral exams to improve fairness and verifiability, while weighing privacy, workload, and the potential shift away from home exams toward supervised formats; opinions vary among students and faculty on practicality and impact on examination discipline.

[2610.27337] Modeling Authentic Research Trajectories: A Graph View of Research Ideation

The paper introduces the Research Progress Graph (RPG) to capture authentic research trajectories—the evolving sequence of states, evidence, and reasoning behind ideas. Current AI research agents discard connecting reasoning; RPG proposes recording and using complete trajectories to redesign how ideation is modeled, evaluated, and trained.

The students: - Double standards!

Translated title. Original: Studentene: - Dobbeltmoralsk!

A report discusses how artificial intelligence affects student assessment, favoring supervised exams and updating evaluation methods to reflect KI use, while warning against uneven rules for students and staff and calling for national guidance and integration of KI literacy into curricula.

The new era in joint written exams: 80% of the questions will be prepared by artificial intelligence - Kamudanhaber Internet Site

Translated title. Original: Ortak yazılı sınavlarda yeni dönem: Soruların yüzde 80'ini yapay zeka hazırlayacak - Kamudanhaber İnternet Sitesi

Turkey's Ministry of Education plans an AI-assisted joint written exam system starting 2026-27, with AI generating most questions and teachers selecting a portion; exams will include open-ended items and digital scoring, but the approach faces concerns about equity and teacher autonomy.

The long-awaited turning point in education is coming: the ministry is preparing a significant syllabus reduction - Portfolio.hu

Translated title. Original: Jöhet a rég várt fordulat az oktatásban: jelentős tananyag-csökkentésre készül a minisztérium - Portfolio.hu

The ministry plans a substantial reduction of curriculum content to free time for deeper understanding and skill practice, with teachers and school leaders involved in the process; no new subjects will be added in this phase, while methodological guidelines may expand, and the approach relies on teachers’ on-the-ground insights.

Lab 3 — Design a Role-Specific AI Literacy Curriculum | COMPEL Framework

Lab 3 tasks learners with designing four role-specific AI literacy curricula and an evidence architecture aligned to EU AI Act and ISO standards; it defines outcomes, content modules, delivery, assessments, and an evidence schema spanning HRIS and LMS/LXP systems.

Science of Learning Should Guide AI Use Decisions (opinion)

Educators should use a learning-science framework to guide AI use in education, focusing on whether AI enhances crucial cognitive processes rather than merely proving if AI works. Institutions should run small, iterative studies to assess impact, transfer, and context while design keeps learning goals central.

AI Fluency for Educators | Coursera

An online Coursera course teaches educators to apply the 4D Framework (Delegation, Description, Discernment, Diligence) with AI as a thinking partner to improve course design, materials, and assessments, built through a partnership with Anthropic and two professors; it emphasizes augmentation over automation, requires teaching experience, and offers free access with no certificates.