What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- Statistics
- Mathematics education
Her primary areas of study are Mathematics education, Social psychology, Artificial intelligence, Teaching method and Human–computer interaction.
Her Mathematics education study combines topics from a wide range of disciplines, such as Multimedia, Intelligent tutoring system and Task.
Many of her studies on Multimedia apply to Variety as well.
Her study in Task is interdisciplinary in nature, drawing from both Action, Knowledge level, Knowledge survey, Formative assessment and Goal orientation.
The Social psychology study combines topics in areas such as Cognitive psychology, Representation, Spatial ability and Video game.
Her Teaching method research is multidisciplinary, incorporating perspectives in Inductive reasoning, Content knowledge, Discovery learning and Data science.
Her most cited work include:
- Focus on Formative Feedback (2075 citations)
- What Is Design Thinking and Why Is It Important (310 citations)
- A Large-Scale Evaluation of an Intelligent Discovery World: Smithtown (249 citations)
What are the main themes of her work throughout her whole career to date?
Valerie J. Shute focuses on Mathematics education, Human–computer interaction, Cognitive psychology, Artificial intelligence and Task.
Her Human–computer interaction research is multidisciplinary, relying on both Concept learning and Game based learning.
In her study, which falls under the umbrella issue of Cognitive psychology, Video game is strongly linked to Social psychology.
Her Artificial intelligence research integrates issues from Machine learning, TUTOR and Affect.
She undertakes multidisciplinary studies into Task and Context in her work.
Her Formative assessment research incorporates themes from Teaching method and Goal orientation.
She most often published in these fields:
- Mathematics education (26.52%)
- Human–computer interaction (16.02%)
- Cognitive psychology (14.92%)
What were the highlights of her more recent work (between 2016-2021)?
- Human–computer interaction (16.02%)
- Game based learning (6.63%)
- Mathematics education (26.52%)
In recent papers she was focusing on the following fields of study:
Her main research concerns Human–computer interaction, Game based learning, Mathematics education, Game design and Educational technology.
Her work in the fields of Human–computer interaction, such as Adaptation and Video game development, overlaps with other areas such as Core and Game based.
Her Mathematics education research incorporates elements of Video game and Game mechanics.
Valerie J. Shute has included themes like Salient and Task in her Game design study.
The various areas that Valerie J. Shute examines in her Content knowledge study include First Principles of Instruction, Multimedia and Principles of learning.
Valerie J. Shute combines subjects such as Assessment for learning and Teaching method with her study of Learning analytics.
Between 2016 and 2021, her most popular works were:
- Demystifying computational thinking (161 citations)
- Review of computer-based assessment for learning in elementary and secondary education (57 citations)
- Assessment and Adaptation in Games (32 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Mathematics education
Mathematics education, Computational thinking, Assessment for learning, Construct and Cognitive psychology are her primary areas of study.
Her study in Learning analytics extends to Mathematics education with its themes.
Her Computational thinking research includes elements of Abstraction, Video game, Management science and Decomposition.
Her research in Assessment for learning intersects with topics in Immersive technology, Virtual reality, Data science and Personalization.
Her Construct study combines topics in areas such as Variety, Generalization and Empirical research.
Her Cognitive psychology research incorporates themes from Task, Videoconferencing and Behavioral pattern.
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