AI in Higher Education
Friday, 4 September 2026
What crossed the desk today, gathered from 58 sources.
OPINION: Knowing how to use AI tools is not the same as knowing how to apply them responsibly. Colleges must do more
Universities across the country are investing in artificial intelligence literacy. Students are attending workshops, experimenting with generative AI tools and earning certificates meant to show that they are ready for an economy shaped by AI. The problem is that we don’t know if these programs help students solve…
In an era when generative artificial intelligence (AI) thinks, writes, and judges on behalf of peopl..
The hidden link between AI strategy and student retention
As retention becomes one of the most important drivers of institutional stability, many colleges and universities are turning to AI to better identify struggling students, personalize support, reduce administrative burdens, and help staff intervene before challenges escalate. The post The hidden link between AI…
Artificial Intelligence as a Pedagogical Tool in Higher Education: Enhancing Reflection and Formative Assessment
La inteligencia artificial obliga a la universidad a reinventarse: cambia la forma de enseñar, estudiar y evaluar
Students turn to AI as physics searches decline worldwide
University of Tampa requires AI literacy class
Nutanix Cloud Platform Updates Expand Capabilities for Production Agentic AI
Nutanix has announced Enterprise AI 2.8, adding agent governance and inference features.
被淹没的天才：学术分工理论视角下的AI辅助科研审理机制 ——关于建立"人类不可压缩层"的构想与论证
AI正在催生一种新型知识生产者：没有学术头衔，不掌握论文规范，但具备对"不对劲"的敏感和批判性使用AI的能力。本文讨论的是这样一个问题——当这样的人产出一个有价值的想法时，没有任何制度接得住它。 文章首先重新界定了讨论对象。 常见的辩护是列举拉马努金、法拉第、爱因斯坦，但这三人都被管道接住了，其故事证明的是"管道存在时有效"。因此本文把天才界定为一种强度而非一种人：看见别人看不见的东西，这件事拉马努金做得，水渠管理员也做得，区别不在能力，而在前者有哈代、后者没有。孟德尔是这一人群最精确的样本：他不是没找到出口，而是发了论文、然后等了34年。 但这里必须修正本文最初的一处表述。…
Effects of an AI SAT Preparation Tool
This preregistration describes a two-arm individual-level randomized controlled trial (RCT) evaluating an AI-powered SAT preparation tool on U.S. high school students’ SAT math performance and other student outcomes (including test anxiety and ease of studying). Students are randomly assigned to receive access to the…
Book of Abstracts- Media Metamorphosis & AI: Unveiling the Future of Content
The Book of Abstracts for the International Conference 2025 on “Media Metamorphosis & AI: Unveiling the Future of Content”, organized by the Department of Visual Communication, Hindusthan College of Arts & Science, Coimbatore, is a compilation of scholarly contributions presented during the conference held on 30th…
A narrowed creativity? A systematic review and meta-analysis of generative AI collaboration and learning outcomes in art and design education
This systematic review and meta-analysis examines the effects of generative AI collaboration on learning outcomes among students enrolled in formal art, design and architecture programmes. Departing from existing syntheses, which analyse central tendency alone, the review quantifies effects at two levels: the mean…
Predicting Student Attrition in Competitive Programming: A Large-Scale Study Integrating Survey Insights and Global Behavioral Logs
Competitive programming (CP) offers computer science students an environment for developing algorithmic reasoning skills. However, sustained participation remains a challenge, as many students disengage after encountering skill plateaus or performance anxiety. While educational data mining (EDM) has studied dropout in…
Hidden Thoughts Are Not Secret: Reasoning Trace Exposure in LLMs
Reasoning traces have become a valuable form of learning signals for improving and transferring the capabilities of large language models. In particular, detailed traces can help distill reasoning behavior from stronger teacher models into weaker student models. The value of capability transfer has motivated many…
Large-Scale Qualitative Research with AI: Infrastructure, Management and Operation of the Socioscope Data Pipeline
The Socioscope project is a pioneering effort in Large-Scale Qualitative Research (LSQR) collecting comparable, open-ended, multimedia field data on hundreds of cases and using AI to make the material analysable at scale. The domain studied is the food system. The entities documented are the organisations that act in…
The Brand War: A Gamified AI-Feedback System for Time-Limited EFL Writing
Writing is cognitively demanding and anxiety-provoking for English as a Foreign Language (EFL) learners, especially under time pressure. This paper presents The Brand War, a web-based gamified writing application combining competitive game mechanics with iterative GPT-4.1-powered formative feedback for undergraduate…
"Act Like a 5th Grader" is Not Enough: Bounding Knowledge in LLM-Based User Simulators
Large language models (LLMs) are increasingly used to simulate human behavior but frequently fail to exhibit realistic cognitive constraints, suffering from a "superhuman bias." Using a dataset of over 71,000 reading comprehension responses from 2,359 primary-school students (grades 4--6), we demonstrate that standard…
On the Prospects of Dynamic LLM Conversations in Software Development
Large language models (LLMs) have become an essential tool for assisting developers, yet we still lack knowledge on ways to effectively support their interactions during development activities. That is, the quality of interactions with a chat-based LLM still strongly depends on how developers phrase prompts and which…
Gurukul AI: An Interactive AI-Driven Educational Platform for Indian Education System
Recent advances in large language models (LLMs) like ChatGPT and LLaMA have transformed AI-driven education, but these systems are predominantly trained on Western-centric data, making them ill-suited for regional curricula like India's. The Indian education system is linguistically diverse, exam-oriented, and…
More Confident, But More Competent? Self-Efficacy Calibration in AI-Assisted Writing
This project hosts the de-identified data, and analysis code for a randomized experiment examining how generative AI–supported writing changes the calibration between university students’ writing self-efficacy and writing performance. Participants (N = 270) were assigned to no-AI, free-AI, or guided-AI conditions and…
The Natural Language Interaction Protocol and Standard for AI Agents
AI agents are increasingly being developed and deployed across organizations using heterogeneous agent-development frameworks, AI models, tool interfaces, protocols, and execution environments. To realize their potential social and business impact, these agents must be able to interoperate through a common…
Privacy-Preserving Heterogeneous Multi-LLM Federated Inference for Cognitive Diagnosis
Significant challenges remain in AI-driven educational systems in balancing privacy preservation with accurate cognitive diagnosis. To overcome this, we propose a federated inference framework in which several commercial LLM APIs collaborate without requiring access to raw student data or proprietary model internals…
A Prompt-Engineering Approach to Develop Scalable, Flexible, and Real-Time Hybrid Micro-Level Personalization in a General Purpose AI Teaching Assistant
Artificial intelligence (AI) teaching assistants powered by large language models (LLMs) offer scalable educational support but often provide limited personalization. This study presents a prompt-engineering-based framework for personalizing general-purpose LLM/RAG-based AI teaching assistants such as Jill Watson…
The 5P Reflection Model for Education in the Generative Artificial Intelligence (GenAI) Era
Contributions: A reflection model suitable for the era of Generative Artificial Intelligence (GenAI) is introduced. The proposed model is an integrated model that extracts features from various existing models and also incorporates technological aspects of GenAI. Background: Universities worldwide are facing…