MIT News AI

MIT Schwarzman College of Computing launches pilot to help educators teach AI across disciplines

MIT Schwarzman College of Computing launched a pilot program that hosted a weeklong summer workshop for higher education faculty. The workshop focused on exploring how AI and machine learning materials can be adapted for use in their classrooms across various disciplines.

OpenAI Blog
Sep 21

Expanding OpenAI Academy with new learning paths

OpenAI Academy is expanding its offerings with new learning paths tailored for employees, developers, leaders, educators, and students. These paths aim to help participants build and demonstrate practical AI skills. The initiative broadens access to AI education across diverse audiences.

arXiv AI
Jul 15

A Comparative Analysis of Institutional and Course Generative AI Policies within Higher Education: Implications for Instruction in Computing Education

arXiv:2607. 12296v1 Announce Type: cross Abstract: With the increased use of generative AI (GenAI) applications such as ChatGPT, higher education institutions (HEIs) have released a range of guidelines and policies to direct adoption within their institutions.

By Amrita Ganguly, Aditya Johri, Nora McDonald, Areej Ali, Umama Dewan, Aayushi Hingle Collier
arXiv AI
6d ago

Cognitive Skills in the Age of AI: Computing Students and Experts Perceptions

The study examines how AI’s growing presence in computing affects the perceived importance of cognitive skills among students and experts. Findings suggest that most cognitive skills will become less critical in an AI‑rich future, while critical thinking remains essential. Interviews provide reasons for these shifts and offer guidance for preparing future computing students.

By Neha Rani, Vu Minh Anh Le, Austin M. Spangler, Erta Cenko
arXiv AI
Sep 25

Beyond Simple Input-Output Assessment Tasks: Leveraging Automated Programming Assessment for Non-Trivial Courses

The article discusses how machine learning exercises can be designed for automated assessment tools, framing them as deterministic input-output tasks. It emphasizes that this approach does not create a new grading system but enables existing platforms (e.g., VPL for Moodle, Codeforces, MOJ) to support AI education more effectively. The authors argue that integrating theory with practice through such exercises can foster dynamic, interactive AI courses.

By Artur Jordao