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Learning Letters

  • h-index: 2
  • Total citations: 0
  • Total papers: 0
  • Impact factor: 8
LL

Learning Letters

Journal
H-Index = 2
Citations = 0

Papers

Evidence

Recent papers in Learning Letters

  1. Enhancing feedback personalisation with AI-generated analyticsLearning Letters · Sun,
  2. Enhancing feedback personalisation with AI-generated analyticsLearning Letters · Sun,
  3. From accommodation to affirmationLearning Letters · Thu,
  4. Sociological assessment practices for college students in the age of generative AILearning Letters · Thu,
  5. Development of a machine-learning-driven digital teaching assistant that utilises student engagement data to improve access to and success in K-12 STEM educationLearning Letters · Mon,
  6. Reading at university in the time of GenAILearning Letters · Mon,
  7. comparative analysis of critical thinking skills between ChatGPT and college studentsLearning Letters · Thu,
  8. If cheating is optimisation then assessment must not be pureLearning Letters · Tue,
  9. technology-agnostic framework for designing assessments in the era of artificial intelligenceLearning Letters · Tue,
  10. Is artificial intelligence more creative than humans?Learning Letters · Thu,

About Learning Letters

Learning Letters carries h-index 2 in Synapse's enriched corpus. Each paper indexed here includes structured clinical evidence extraction (PICO), methodology classification with level of evidence, and links to related guideline recommendations where applicable.

On Synapse's credibility score (derived from SJR ranking and cross-citation patterns), Learning Letters sits among the highest-credibility cardiovascular journals.

Use the feed below to follow new Learning Letters publications with AI-enriched analysis — each paper is decomposed into study design, population, intervention, comparator, primary outcome, and key finding, with the underlying evidence traceable to the primary source.

Deterministic synthesis from Synapse's enriched records — 90 words.