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.
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.
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.
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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Focus on Formative Feedback
Valerie J. Shute.
Review of Educational Research (2008)
Intelligent Tutoring Systems: Past, Present, and Future.
Valerie J. Shute;Joseph Psotka.
What Is Design Thinking and Why Is It Important
Rim Razzouk;Valerie Shute.
Review of Educational Research (2012)
A Large-Scale Evaluation of an Intelligent Discovery World: Smithtown
Valerie J. Shute;Robert Glaser.
Interactive Learning Environments (1990)
Demystifying computational thinking
Valerie J. Shute;Chen Sun;Jodi Asbell-Clarke.
Educational Research Review (2017)
Valerie Shute;Brendon Towle.
Educational Psychologist (2003)
Personal and Social-Contextual Factors in K–12 Academic Performance: An Integrative Perspective on Student Learning
Jihyun Lee;Valerie J. Shute.
Educational Psychologist (2010)
Melding the Power of Serious Games and Embedded Assessment to Monitor and Foster Learning: Flow and Grow
Valerie J. Shute;Matthew Ventura;Malcolm Bauer;Diego.
Games, Learning, and Assessment
Valerie J. Shute;Fengfeng Ke.
The power of play
Valerie J. Shute;Matthew Ventura;Fengfeng Ke.
Computer Education (2015)
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