The authors report that an AI-assisted harness enabled weekly closed-book tests to replace lectures in one small upper-level course while preserving student accountability, based on survey data from 18 students and project git history.
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Standard LLM chats produce high perceived understanding but low objective learning in students, while future-self explanations best align confidence with actual gains and guided hints maximize learning with moderate workload.
The paper proposes a hybrid e-assessment method that retains paper exams while using vision LLMs with two-pass validation to semi-automate grading of handwritten structured answers for better scalability in large cohorts.
citing papers explorer
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Test-Driven, AI-Assisted Learning: Replacing Lectures with Weekly Closed-Book Tests
The authors report that an AI-assisted harness enabled weekly closed-book tests to replace lectures in one small upper-level course while preserving student accountability, based on survey data from 18 students and project git history.
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Confidence Without Competence in AI-Assisted Knowledge Work
Standard LLM chats produce high perceived understanding but low objective learning in students, while future-self explanations best align confidence with actual gains and guided hints maximize learning with moderate workload.
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Hybrid E-Assessment in Higher Education: Semi-Automated Grading of Paper-Based Written Examinations
The paper proposes a hybrid e-assessment method that retains paper exams while using vision LLMs with two-pass validation to semi-automate grading of handwritten structured answers for better scalability in large cohorts.