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Andrew M. Olney – Grantee Submission, 2023
Multiple choice questions are traditionally expensive to produce. Recent advances in large language models (LLMs) have led to fine-tuned LLMs that generate questions competitive with human-authored questions. However, the relative capabilities of ChatGPT-family models have not yet been established for this task. We present a carefully-controlled…
Descriptors: Test Construction, Multiple Choice Tests, Test Items, Algorithms

Stencel, John E. – Journal of College Science Teaching, 1992
Explains how a simple three-step algorithm can aid college students in solving synapse transmission problems. Reports that all of the students did not completely understand the algorithm. However, many learn a simple working model of synaptic transmission and understand why an impulse will pass across a synapse quantitatively. Students also see…
Descriptors: Algorithms, Anatomy, Biology, College Science

Levine, Leonard – Optometric Education, 1992
A new optometry-oriented program for the Macintosh computer has been written for the Neural Sciences Computer-Assisted Learning Package to include graphics and synthesized speech. It has 21 modules in 6 categories: anatomical drawings; diagrams illustrating physiological concepts; records from experiments; flow charts of neuroanatomical pathways;…
Descriptors: Algorithms, Anatomy, Computer Assisted Instruction, Computer Graphics