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researcher

Jason M. Lodge

2 papers hereh-index 231 citations3 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.HC1
  • cs.LG1
same name
  • Jason M. Lodge — 3 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedDistinguishing performance gains from learning when using generative AI

37 citations · 37 across the 2 of their papers we have counts for

collaborators

2 papers

cs.HC2026

Building AI Companions that Prioritise Learning over Performance

Hassan Khosravi, Dragan Gasevic, Shazia Sadiq +7

Large language models (LLMs) are rapidly transforming knowledge work by improving the quality and efficiency of tasks such as writing, coding, and data analysis. However, their gro…

cs.LG2026★ 37 cited

Distinguishing performance gains from learning when using generative AI

Lixiang Yan, Samuel Greiff, Jason M. Lodge +1

Generative artificial intelligence (AI) is increasingly being integrated into education, where it can boost learners' performance. However, these uses do not promote the deep cogni…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.