Teachers Adopt New Strategies Against AI Use

The Manila Times reports that rising use of artificial intelligence (AI) in education has prompted teachers to adopt new assessment methods. Per a New York Times article cited by The Manila Times, many teachers are using in-class writing and assigning less homework because it "has become so difficult to police for integrity." The Manila Times describes additional approaches, including oral recitations in the Philippines, structured peer feedback, and expanded creative writing classes assessed via portfolios and reflection papers rather than final exams. The article also notes practical challenges mentioned by teachers, such as poor handwriting among students, slower grading, and increased eye strain when relying on analog writing.
What happened
The Manila Times reports that the rise of artificial intelligence (AI) in classrooms has led educators to change assessment and instruction methods. The paper cites a New York Times article saying many teachers now require in-class writing and reduce homework because it "has become so difficult to police for integrity." The Manila Times also reports that teachers in the Philippines have increased use of oral recitation, taught public speaking, and used peer feedback sessions. The article describes creative writing courses being offered more widely and assessed via portfolios and student reflection papers rather than final exams.
Practical details reported
The Manila Times quotes classroom observations including legibility problems from students who did not learn cursive, a teacher's description of "chicken scrawl," slower grading pace, and eye strain linked to analog writing checks. Peer review is presented as a focused method where teachers list evaluation criteria on the board for paired students to apply.
Editorial analysis
For practitioners: shifts from take-home, memorization-style assessments to observed, process-oriented evaluation are consistent with broader education responses to generative AI. Educational teams and data practitioners supporting assessment systems will need to account for more in-person, formative evaluation data and portfolio-based records rather than single high-stakes assignments.
What to watch
Indicators include adoption rates of portfolio assessments, expanded creative-writing curricula, classroom time devoted to oral and in-class work, and demand for tools that help teachers grade process-oriented outputs while preserving academic integrity.
Scoring Rationale
This story affects classroom assessment design and integrity practices, which matter to practitioners building tools for education and academic-evaluation workflows. The impact is modest for core ML research but relevant for educational applications and tooling.
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