What is he best known for?
The fields of study he is best known for:
- Programming language
- The Internet
- Artificial intelligence
Mark Guzdial focuses on Multimedia, Mathematics education, World Wide Web, Pedagogy and Human–computer interaction.
His research integrates issues of Python, Liberal arts education, Creativity and Class in his study of Multimedia.
His Mathematics education study incorporates themes from Task and Education theory.
His World Wide Web research is multidisciplinary, incorporating perspectives in Asynchronous communication and Design methods.
His work in the fields of Pedagogy, such as Classroom teaching and Project-based learning, intersects with other areas such as Project design.
His work on Adaptation as part of general Human–computer interaction research is often related to Future studies, Limited capacity and Working memory, thus linking different fields of science.
His most cited work include:
- Motivating Project-Based Learning: Sustaining the Doing, Supporting the Learning (1942 citations)
- A multi-national, multi-institutional study of assessment of programming skills of first-year CS students (544 citations)
- Learner-centered design: the challenge for HCI in the 21st century (406 citations)
What are the main themes of his work throughout his whole career to date?
Multimedia, Mathematics education, World Wide Web, Human–computer interaction and Pedagogy are his primary areas of study.
As a part of the same scientific study, he usually deals with the Multimedia, concentrating on Collaborative learning and frequently concerns with Educational technology.
His Mathematics education research incorporates elements of Class, Field and Curriculum.
His research combines Visualization and Human–computer interaction.
His Public relations research extends to the thematically linked field of Pedagogy.
His work carried out in the field of Knowledge management brings together such families of science as Learning environment and Process.
He most often published in these fields:
- Multimedia (32.57%)
- Mathematics education (18.42%)
- World Wide Web (17.76%)
What were the highlights of his more recent work (between 2015-2021)?
- World Wide Web (17.76%)
- Multimedia (32.57%)
- Mathematics education (18.42%)
In recent papers he was focusing on the following fields of study:
Mark Guzdial mainly investigates World Wide Web, Multimedia, Mathematics education, Internet privacy and Process.
His study in the field of Session is also linked to topics like Teaching tool and Beauty.
His Multimedia study integrates concerns from other disciplines, such as Design-based research, Educational technology and Educational psychology.
As part of his studies on Mathematics education, he frequently links adjacent subjects like Class.
His Internet privacy research incorporates themes from State and Literacy.
Mark Guzdial works mostly in the field of Process, limiting it down to topics relating to Management science and, in certain cases, Telecommunications, as a part of the same area of interest.
Between 2015 and 2021, his most popular works were:
- Replication, Validation, and Use of a Language Independent CS1 Knowledge Assessment (62 citations)
- Subgoals Help Students Solve Parsons Problems (39 citations)
- Using Tracing and Sketching to Solve Programming Problems: Replicating and Extending an Analysis of What Students Draw (25 citations)
In his most recent research, the most cited papers focused on:
- Programming language
- The Internet
- Artificial intelligence
His primary areas of investigation include State, Mathematics education, Internet privacy, World Wide Web and Management science.
His State research is multidisciplinary, relying on both Telecommunications and Engineering management.
Mark Guzdial regularly ties together related areas like Computer programming in his Mathematics education studies.
You can notice a mix of various disciplines of study, such as Argument, Replicate, Knowledge assessment, Replication and Research community, in his Management science studies.
Mark Guzdial conducts interdisciplinary study in the fields of Argument and Process through his research.
His study in Process is interdisciplinary in nature, drawing from both Documentation and Tracing.
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