What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Machine learning
- Educational technology
His main research concerns Learning environment, Multimedia, Social psychology, Experiential learning and Mathematics education.
His Learning environment research is multidisciplinary, incorporating perspectives in Surprise, Boredom, Affect and Artificial intelligence.
His research in Multimedia intersects with topics in Context, Salient, Constructivist teaching methods and Human–computer interaction.
His Social psychology research incorporates themes from Cognitive psychology and Narrative.
As part of the same scientific family, James C. Lester usually focuses on Experiential learning, concentrating on Active learning and intersecting with Educational technology, Cooperative learning, Synchronous learning and Collaborative learning.
His study in Mathematics education is interdisciplinary in nature, drawing from both Interactivity and Graphics.
His most cited work include:
- Animated Pedagogical Agents: Face-to-Face Interaction in Interactive Learning Environments (852 citations)
- The persona effect: affective impact of animated pedagogical agents (680 citations)
- The Case for Social Agency in Computer-Based Teaching: Do Students Learn More Deeply When They Interact With Animated Pedagogical Agents? (679 citations)
What are the main themes of his work throughout his whole career to date?
James C. Lester mostly deals with Learning environment, Artificial intelligence, Human–computer interaction, Multimedia and Narrative.
His Learning environment research is within the category of Mathematics education.
His work investigates the relationship between Artificial intelligence and topics such as Natural language processing that intersect with problems in Domain.
The various areas that James C. Lester examines in his Human–computer interaction study include Context, Key and Affect.
His studies deal with areas such as Testbed, Natural language and Gesture as well as Multimedia.
He has researched Narrative in several fields, including Dynamic Bayesian network and Knowledge management.
He most often published in these fields:
- Learning environment (34.02%)
- Artificial intelligence (25.44%)
- Human–computer interaction (24.85%)
What were the highlights of his more recent work (between 2018-2021)?
- Learning environment (34.02%)
- Human–computer interaction (24.85%)
- Mathematics education (16.57%)
In recent papers he was focusing on the following fields of study:
James C. Lester focuses on Learning environment, Human–computer interaction, Mathematics education, Game based learning and Artificial intelligence.
In his study, James C. Lester carries out multidisciplinary Learning environment and Process research.
The study incorporates disciplines such as Context, Generator, Eye tracking and Leverage in addition to Human–computer interaction.
His study looks at the intersection of Mathematics education and topics like Metacognition with Goal orientation and Perceptron.
His work carried out in the field of Game based learning brings together such families of science as Student engagement, Collaborative Problem Solving, Educational game and Affect.
The concepts of his Artificial intelligence study are interwoven with issues in Machine learning and User modeling.
Between 2018 and 2021, his most popular works were:
- Development of a Lean Computational Thinking Abilities Assessment for Middle Grades Students (15 citations)
- Generating Educational Game Levels with Multistep Deep Convolutional Generative Adversarial Networks (14 citations)
- DeepStealth : Game-Based Learning Stealth Assessment With Deep Neural Networks (11 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Machine learning
- Mathematics education
James C. Lester mainly focuses on Learning environment, Mathematics education, Artificial intelligence, Human–computer interaction and Machine learning.
James C. Lester combines subjects such as Feature, Baseline, TRACE and Affect with his study of Learning environment.
James C. Lester interconnects Space and Game based learning in the investigation of issues within Affect.
His studies in Mathematics education integrate themes in fields like Curriculum and Competence.
His Human–computer interaction research is multidisciplinary, relying on both Facial expression, Eye tracking, Personalized learning and Tracking.
The Machine learning study combines topics in areas such as Adaptive learning and Prior learning.
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