Results 101 to 110 of about 134,383 (239)
Constructing National Higher Education Brands: Korea, India and Israel Compared
European Journal of Education, Volume 61, Issue 1, March 2026.ABSTRACT This study examines the websites of the national higher education (HE) brands of Study in Korea, Study in India and Study in Israel, exploring how these ‘offbeat’ destinations position themselves in the global HE market. Drawing on rhetorical analysis and employing a qualitative comparative case study approach, it reveals the key identity ...
Annette Bamberger +2 more
wiley +1 more source
International Transactions in Operational Research, Volume 33, Issue 2, Page 719-774, March 2026.Abstract The transformative potential of artificial intelligence (AI) ChatBots, leveraging natural language processing for information retrieval and knowledge synthesis, has garnered attention across diverse fields, including research. Recognizing AI's importance, researchers and policymakers are actively engaged in its development.
Cinzia Daraio +2 more
wiley +1 more source
A short note on the decision tree based neural turing machine [PDF]
, 2020 Yingshi Chen
openalex +1 more source
Short attribute-based signatures for arbitrary Turing machines from standard assumptions [PDF]
, 2023 Pratish Datta +2 more
openalex +1 more source
Who Gives Feedback Matters: Student Biases Towards Human and AI‐Generated Formative Feedback
Journal of Computer Assisted Learning, Volume 42, Issue 1, February 2026.ABSTRACT Background Feedback is essential for learning, helping individuals understand and improve their performance. However, providing timely, personalised feedback in higher education is challenging. Generative AI offers a scalable solution, yet little is known about students' biases towards AI‐generated feedback.
Tanya Nazaretsky +4 more
wiley +1 more source
Quantum Turing Machines: Local Transition, Preparation, Measurement, and Halting [PDF]
, 1998 Masanao Ozawa
openalex +1 more source
Advanced Science, Volume 13, Issue 4, 19 January 2026.Integrating hierarchical physicochemical features via a bio‐inspired design, the DAISY framework robustly predicts T‐cell receptor binding, significantly outperforming state‐of‐the‐art models on unseen epitopes. It uniquely offers visual interpretability via Score‐CAM visualizations and profound clinical relevance, correlating with T‐cell expansion ...
Yajing Yuan +9 more
wiley +1 more source
Agency Under Prediction: A Review of The Human Test
Natural Sciences, Volume 6, Issue 1, January 2026.This review examines Ron Folman's book, “The Human Test”, which proposes auditing human agency via measurable predictability scores enabled by AI and large‐scale behavioral data. It highlights the book's practical and ethical implications, while arguing that predictability must be reported with explicit data/compute budgets, out‐of‐distribution tests ...
Eliahu Cohen
wiley +1 more source