An LLM pipeline can produce reasonably accurate, expert-scored interpretations of student learning strategies from raw clickstreams, with zero-shot prompting outperforming more complex prompting schemes.
International Journal of Artificial Intelligence in Education 30(3), 504–535 (2020)
1 Pith paper cite this work, alongside 35 external citations. Polarity classification is still indexing.
1
Pith paper citing it
35
external citations · OpenAlex
citation-role summary
background 1
citation-polarity summary
fields
cs.AI 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
ClickSight: Interpreting Student Clickstreams to Reveal Insights on Learning Strategies via LLMs
An LLM pipeline can produce reasonably accurate, expert-scored interpretations of student learning strategies from raw clickstreams, with zero-shot prompting outperforming more complex prompting schemes.