AI is reshaping CS teaching
Experts argue AI is forcing universities to rethink computer science curricula — some say the shift pulls CS back toward math and physics while exposing long‑standing course weaknesses argued reported. At the same time, pilots like AI‑assisted grading in Singapore show instructors are already using models to free classroom time for conceptual and design work.
Dr Nafisa [Baba‑Ahmed wrote]article.wn.com to The Guardian on March 15, 2026 urging specific redesigns of coursework that she says have long functioned as weak proxies for student thinking. Perplexity CEO Aravind [Srinivas endorsed]livemint.com a viral post on March 15, 2026 arguing that large language models are automating routine coding tasks and thereby shifting the discipline toward mathematics and physics. An Inside Higher Ed op‑ed by Xinyao Yi on March 10, [2026 drawn]insidehighered.com on faculty experience in computer systems and parallel computing to argue AI is revealing where prior assessment methods left learning “thin.” The Straits Times reported that lecturers at four Singapore universities—NTU, NUS, SUTD and SIT—have used AI tools like Gradescope to cluster handwritten solutions for batch grading, while SMU and SUSS [do not allow]straitstimes.com AI‑graded work to count toward final scores. NUS documented a small‑scale pilot involving 1,305 students across MA1513, MA1508E and ST2132 that used an online grading platform with an AI grouping feature and [is considering]blog.nus.edu.sg wider adoption after positive outcomes. A CNA TODAY survey of 10 professors found “almost every instructor is doing it” with AI for grading, course prep and research, and Singapore [institutions reported]channelnewsasia.com prior enforcement actions such as NTU’s 2025 penalties for misuse of AI.
