What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Law
- Mathematics education
Vincent Aleven spends much of his time researching Cognitive tutor, TUTOR, Mathematics education, Multimedia and Metacognition.
His work carried out in the field of Cognitive tutor brings together such families of science as Computer-Assisted Instruction, Cognitive psychology and Affect.
His study in TUTOR is interdisciplinary in nature, drawing from both Test, Cognitive model, Intelligent tutoring system and Set.
His Mathematics education research incorporates elements of Glossary, Legal writing, Pedagogy and Artificial intelligence.
His Multimedia research focuses on Human–computer interaction and how it relates to Programming by demonstration and Action.
His Metacognition research is multidisciplinary, incorporating elements of Interactive Learning, Educational technology, Self-regulated learning and Knowledge management.
His most cited work include:
- An effective metacognitive strategy: learning by doing and explaining with a computer-based Cognitive Tutor (672 citations)
- Help Seeking and Help Design in Interactive Learning Environments (411 citations)
- Exploring the Assistance Dilemma in Experiments with Cognitive Tutors (397 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Mathematics education, TUTOR, Intelligent tutoring system, Cognitive tutor and Human–computer interaction.
His study looks at the relationship between Mathematics education and topics such as Metacognition, which overlap with Cognitive science.
Vincent Aleven usually deals with TUTOR and limits it to topics linked to Multimedia and Set.
His study looks at the relationship between Intelligent tutoring system and fields such as Collaborative learning, as well as how they intersect with chemical problems.
As part of the same scientific family, Vincent Aleven usually focuses on Cognitive tutor, concentrating on Cognitive psychology and intersecting with Fluency.
His work deals with themes such as Machine learning and Natural language processing, which intersect with Artificial intelligence.
He most often published in these fields:
- Mathematics education (31.91%)
- TUTOR (28.62%)
- Intelligent tutoring system (27.30%)
What were the highlights of his more recent work (between 2016-2021)?
- Mathematics education (31.91%)
- Intelligent tutoring system (27.30%)
- Human–computer interaction (21.38%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Mathematics education, Intelligent tutoring system, Human–computer interaction, Analytics and Learning analytics.
Vincent Aleven works mostly in the field of Mathematics education, limiting it down to concerns involving Real time analytics and, occasionally, Speed dating.
His Intelligent tutoring system study is concerned with Artificial intelligence in general.
His Human–computer interaction study combines topics from a wide range of disciplines, such as Collaborative Problem Solving, TUTOR and Gaze.
His biological study spans a wide range of topics, including Crowdsourcing, Instructional design and Personalization.
His research on Analytics also deals with topics like
- Mixed reality that intertwine with fields like Metacognition, Personalized learning environment and Virtual prototyping,
- Citizen journalism and related Needs assessment and General partnership.
Between 2016 and 2021, his most popular works were:
- The Beginning of a Beautiful Friendship? Intelligent Tutoring Systems and MOOCs (118 citations)
- Intelligent tutors as teachers' aides: exploring teacher needs for real-time analytics in blended classrooms (62 citations)
- Open learner models and learning analytics dashboards: a systematic review (52 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Law
- Mathematics education
Vincent Aleven focuses on Mathematics education, Analytics, Intelligent tutoring system, Multimedia and Learning analytics.
His work on Student learning and TUTOR as part of general Mathematics education study is frequently linked to Class, therefore connecting diverse disciplines of science.
Vincent Aleven has researched Student learning in several fields, including Metacognition, Session and Lesson plan.
His research integrates issues of Argumentation theory, Policy analysis, Likert scale, Feeling and Self-efficacy in his study of TUTOR.
His Intelligent tutoring system study also includes
- Perception which connect with Cognitive psychology and Educational psychology,
- Comprehension which intersects with area such as Social psychology.
The Multimedia study combines topics in areas such as Obstacle, Suite, Software deployment and JavaScript.
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