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Topic · Artificial Intelligence

Intelligent Tutoring Systems and Adaptive Learning

Intelligent Tutoring Systems and Adaptive Learning is a research topic within Artificial Intelligence. Science Explorer counts 21k research works in it since 1950. 10.1% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the effectiveness and impact of intelligent tutoring systems, exploring topics such as cognitive-affective interaction, meta-cognitive skills, knowledge tracing, student modeling, and adaptive learning environments. It also delves into the use of educational agents, Bayesian networks, and pedagogical strategies to enhance learning outcomes.

  • Intelligent Tutoring Systems
  • Affective States
  • Cognitive-Affective Interaction
  • Meta-cognitive Skills
  • Knowledge Tracing
  • Student Modeling
  • Adaptive Learning Environments
  • Educational Agents
  • Bayesian Networks
  • Pedagogical Strategies
Research works
21k
fractional, since 1950
In the world top 10%
2.1k
per year above
Top-10% rate
10.1%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+126%
the tick is no change
Largest producer
United States
29% of the 10 largest, 2022-now
Intelligent Tutoring Systems and Adaptive Learning
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