online-and-blended-learning

Generative artificial intelligence (GenAI) and multimodal interaction are attracting growing attention in mental health-related education and care. At the same time, pre-service childcare professionals are increasingly expected to observe and respond sensitively to infants’ and toddlers’ emotional signals, attachment needs, separation reactions, and interaction patterns. These contextual and ethi…

Last week’s ETIH roundup covers OpenAI’s Hugging Face cyber incident, new evidence on AI tutoring and student learning, a $10 million national AI writing research center, federal EdTech guidance, youth digital safety, university AI strategies and NASA investment in aerospace workforce pathways ETIH’s latest weekly roundup brings together the major AI, EdTech, research, policy, higher education an…

  Alpha School wants AI to teach a billion kids. Should it? is a recent article in Scientific American. It’s been receiving a fair amount of attention, particularly about some quotes in it from education researcher Carl Hendrick. Though I disagree with a fair number of Carl’s perspectives on education, I also think he’s done […]

Google has introduced a dedicated Student Hub in the Gemini ecosystem , bringing study notebooks, flashcards and interactive practice quizzes into one in-app space. The central idea is to connect a learner's course materials with Gemini's AI tools, reducing the work of moving between separate note-taking, revision and question-generation tools. The official Gemini for Students page presents the h…

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Large language models (LLMs) are increasingly used to evaluate open-ended educational responses. However, their performance is often assessed using aggregate metrics that provide limited insight into prediction stability, uncertainty, error patterns, and feedback quality. This study presents EduFairBench, a reproducible evaluation protocol designed to characterize LLM behavior across short-answer…

The University of Texas at San Antonio received a $125,000 gift from Adobe Inc. to help redesign six high-enrollment undergraduate courses, expanding access to digital and creative skill building for more than 11,000 students each year. Faculty will use the support to update core courses with more hands-on assignments, affordable learning materials and digital tools […] The post Adobe Inc. suppor…

The rapid adoption of digital technologies in higher education has reshaped how students learn, collaborate, and engage, yet assumptions that online learning automatically enhances educational experiences remain largely unexamined. This study examined how students organised academic activities and appropriate digital tools within a fully online learning environment. Framed through a sociocultural…

This quasi-experimental study investigated whether purposefully designed multimodal materials boost EFL learner engagement more than text-only materials over a 15-week semester with 122 Chinese undergraduates in four intact classes. The multimodal group received video clips, audio recordings, annotated texts, and interactive quizzes, whereas the control group received identical content through te…

IntroductionThe aim of the study was to assess the association between the integration of digital technologies and the learning outcomes, motivation, and cognitive development of students in the Faculty of Education.MethodsThe study employed a quasi-experimental pedagogical design using standardised testing before and after the implementation of IT tools, participant surveys, and comparative anal…

IntroductionExisting AI-literacy measures often emphasize broad knowledge, attitudes, application, or ethical awareness rather than how learners use AI within self-regulated academic learning. This study developed and validated the Multidimensional Aspects of AI Literacy Scale for Pre-Service Teachers (MAILS-PT), which assesses Ethical Use, Metacognitive Monitoring (Monitor), Motivational Regulat…

arXiv:2511.11635v2 Announce Type: replace Abstract: In intelligent education, personalized mathematics question generation aims to produce mathematics questions that satisfy educational requirements while supporting adaptive assessment and learning. Existing LLM-based single-agent and multi-agent methods improve generation flexibility, but they still tend to rely on aggregated feedback or model r…

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