What is she best known for?
The fields of study she is best known for:
- Cognition
- Artificial intelligence
- Cognitive psychology
Tamara van Gog focuses on Cognition, Cognitive load, Cognitive psychology, Educational psychology and Instructional design.
She interconnects Perception, Multimedia, Cognitive science, Eye tracking and Visualization in the investigation of issues within Cognition.
Her Cognitive load research includes elements of Segmentation, Educational technology, Educational research and Transfer of training.
Her studies deal with areas such as Mental load, Working memory, Hypermedia, Teaching method and Mental effort as well as Cognitive psychology.
Her study looks at the intersection of Educational psychology and topics like Experiential learning with Collaborative learning, Education theory, Social learning and Active learning.
As part of her studies on Instructional design, she often connects relevant subjects like Task analysis.
Her most cited work include:
- Instructional Efficiency: Revisiting the Original Construct in Educational Research. (308 citations)
- Development of an instrument for measuring different types of cognitive load (300 citations)
- Using Electroencephalography to Measure Cognitive Load (288 citations)
What are the main themes of her work throughout her whole career to date?
Her primary areas of study are Cognitive psychology, Cognitive load, Cognition, Eye tracking and Mathematics education.
Her Cognitive psychology research is multidisciplinary, incorporating elements of Educational psychology, Working memory, Teaching method, Instructional design and Gesture.
Her biological study deals with issues like Artificial intelligence, which deal with fields such as Self-regulated learning.
Her work on Mental load as part of general Cognition study is frequently linked to Troubleshooting, therefore connecting diverse disciplines of science.
While the research belongs to areas of Eye tracking, Tamara van Gog spends her time largely on the problem of Eye movement, intersecting her research to questions surrounding Gaze.
As part of the same scientific family, she usually focuses on Mathematics education, concentrating on Test and intersecting with Social psychology, Computer-Assisted Instruction and Example based learning.
She most often published in these fields:
- Cognitive psychology (56.79%)
- Cognitive load (34.98%)
- Cognition (32.51%)
What were the highlights of her more recent work (between 2017-2021)?
- Cognitive psychology (56.79%)
- Eye tracking (23.46%)
- Eye movement (17.28%)
In recent papers she was focusing on the following fields of study:
Cognitive psychology, Eye tracking, Eye movement, Cognition and Mathematics education are her primary areas of study.
Her Cognitive psychology research incorporates themes from Affect, Nonverbal communication, Working memory, Cognitive load and Teaching method.
Her research integrates issues of Task analysis and Presentation in her study of Cognitive load.
Her Eye movement study integrates concerns from other disciplines, such as Gaze, Categorization, Human–computer interaction, Instructional design and Focus.
She works mostly in the field of Cognition, limiting it down to topics relating to Gesture and, in certain cases, Psychological research.
Her Mathematics education study combines topics from a wide range of disciplines, such as Test performance, Example based learning, Generative model and Competence.
Between 2017 and 2021, her most popular works were:
- Cognitive load theory for training health professionals in the workplace: A BEME review of studies among diverse professions: BEME Guide No. 53 (20 citations)
- Enhancing example-based learning: Teaching on video increases arousal and improves problem-solving performance. (18 citations)
- Task Experience as a Boundary Condition for the Negative Effects of Irrelevant Information on Learning (18 citations)
In her most recent research, the most cited papers focused on:
- Cognition
- Artificial intelligence
- Mathematics education
Tamara van Gog spends much of her time researching Cognitive psychology, Mathematics education, Cognitive load, Cognition and Video modeling.
Her biological study spans a wide range of topics, including PsycINFO, Working memory, Eye tracking and Control.
Her Mathematics education research is multidisciplinary, relying on both Test performance and Decimal.
Her Cognitive load study integrates concerns from other disciplines, such as Inclusion, Teaching method and Applied psychology.
Her Cognition study combines topics from a wide range of disciplines, such as MEDLINE and Psychological research.
Her biological study spans a wide range of topics, including Self-regulated learning, Task analysis, Transfer of training, Artificial intelligence and Machine learning.
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