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- NewsInside Higher Ed24 Jul 2026
NVIDIA CEO Donates $75M to Vanderbilt San Francisco
NVIDIA CEO Jensen Huang donated $75 million to Vanderbilt University's San Francisco campus. The gift will support the university's educational and research initiatives.
Original abstract
<span>NVIDIA CEO Donates $75M to Vanderbilt San Francisco</span> <div class="field field--name-field-featured-image field--type-entity-reference field--label-hidden field__item"> <img loading="lazy" src="https://www.insidehighered.com/sites/default/files/2026-07/GettyImages-2285692569.jpg" width="1024" height="683" alt="Jensen Huang in a black leather jacket against a black background that says NVIDIA"> </div> <span><span>Susan H. Greenberg</span></span> <span><time datetime="2026-07-24T03:00:00-04:00" title="Friday, July 24, 2026 - 03:00 AM">Fri, 07/24/2026 - 03:00 AM</time> </span> <div class="field field--name-field-authors field--type-entity-reference field--label-inline clearfix"> <div class="field__label">Byline(s)</div> <div class="field__items"> <div class="field__item"><a href="https://www.insidehighered.com/node/4397" hreflang="en">Susan H. Greenberg</a></div> </div> </div>
- PaperComputers and Education: Artificial Intelligence3 Jul 2026
Creating an AI-powered platform for generating modelling problems: A case study on direct variation in secondary school mathematics
Chung Kwan Lo, Xiaowei Huang, Ho Wai Cheung, Tat Leung Yee et al.
An AI-powered platform was developed to generate modelling problems for direct variation in secondary school mathematics. The case study demonstrates the platform's potential for supporting problem-based learning in math education.
- PaperComputers and Education: Artificial Intelligence1 Jul 2026
In the AI Era: A Project-Based Digital Storytelling Framework for Art and Design Education
Tian Ya-li, Tang Mengxiao, Fang Ling Pei, Gengrui Li et al.
This paper proposes a project-based digital storytelling framework tailored for art and design education in the age of AI, integrating digital tools and storytelling techniques.
- PaperComputers and Education: Artificial Intelligence16 Jun 2026
Fostering machine learning literacy in senior primary education: Evaluating a structured pedagogical course design
Siu Cheung Kong, Qiaoyi Wang
A structured machine learning course for senior primary students significantly improved their understanding of supervised and reinforcement learning concepts, including algorithms like k-nearest neighbours, through hands-on robot training and algorithm visualization. The six-to-8-hour course, tested with 752 students, also fostered initial reflections on AI versus human learning.
Original abstract
Current K–12 artificial intelligence (AI) literacy education emphasizes tool usage over fundamental concepts, yet AI literacy requires grasping how and why AI works – critical for an AI-driven society. This highlights the need for machine learning (ML) education for young learners. We designed and evaluated a six-to 8-h ML course for 752 senior primary students (average age 11.36) across seven Hong Kong primary schools. Pre- and post-test results showed significant improvement in ML understanding, with a Wilcoxon effect size of 0.55. Students comprehended supervised learning and reinforcement learning, including algorithms such as k-nearest neighbours and artificial neural networks, via training robots in competitive circuit tasks and real-time algorithm visualization. Thematic analysis of student interviews revealed that our structured pedagogical approach — blending guided worksheets, hands-on activities, and iterative refinement of data processing, parameter adjustment, and model training within the robots' software — enhanced students’ conceptual learning and engagement. Surprisingly, they developed initial reflections on distinguishing between AI and human learning. These findings suggest the feasibility and promise of teaching fundamental ML concepts to senior primary students through a structured course design. The study contributes to future research and practice in fostering ML literacy among young learners, providing actionable insights for educators to support and allocate resources.