What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- The Internet
- Software
Robert D. Macredie mostly deals with Multimedia, Hypermedia, Perception, Knowledge management and Artificial intelligence.
His Multimedia research is multidisciplinary, relying on both Positive perception, Domain knowledge, Cognitive style and Educational technology, Learning sciences.
He has included themes like Computer-Assisted Instruction, Student learning, Subject-matter expert, Knowledge level and Adaptive learning in his Hypermedia study.
His research in Student learning intersects with topics in Experiential learning and Empirical research.
His study in Perception is interdisciplinary in nature, drawing from both Graphical user interface, Information visualization, Emerging technologies and Virtual reality.
His work in the fields of Knowledge management, such as User involvement, intersects with other areas such as System development.
His most cited work include:
- Cognitive styles and hypermedia navigation: development of a learning model (272 citations)
- Effective Communication in Requirements Elicitation: A Comparison of Methodologies (170 citations)
- Individual differences in virtual environments-introduction and overview (135 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Human–computer interaction, Knowledge management, Perception, Multimedia and Cognitive style.
His Human–computer interaction study combines topics in areas such as User interface, World Wide Web and Interface.
His work on Information management as part of his general Knowledge management study is frequently connected to Information technology and Business relationship management, thereby bridging the divide between different branches of science.
He usually deals with Perception and limits it to topics linked to The Internet and E-commerce.
His study looks at the intersection of Multimedia and topics like Adaptive learning with Student learning and Adaptive hypermedia.
His studies in Cognitive style integrate themes in fields like Knowledge acquisition, Set, Educational technology, Learning sciences and Empirical research.
He most often published in these fields:
- Human–computer interaction (25.24%)
- Knowledge management (24.27%)
- Perception (14.56%)
What were the highlights of his more recent work (between 2009-2019)?
- Knowledge management (24.27%)
- Public relations (4.85%)
- Social network (2.91%)
In recent papers he was focusing on the following fields of study:
Robert D. Macredie spends much of his time researching Knowledge management, Public relations, Social network, Perception and Internet privacy.
His research integrates issues of The Internet and Software agent in his study of Knowledge management.
His work deals with themes such as Quality, Landmark and Human–computer interaction, which intersect with Perception.
The Metaverse research Robert D. Macredie does as part of his general Human–computer interaction study is frequently linked to other disciplines of science, such as Spatial memory, therefore creating a link between diverse domains of science.
Robert D. Macredie combines subjects such as Hypermedia, Domain knowledge and Set with his study of Relation.
His Cognitive style study integrates concerns from other disciplines, such as Social psychology and Empirical research.
Between 2009 and 2019, his most popular works were:
- Editorial: Data mining for understanding user needs (86 citations)
- Web-based interaction: A review of three important human factors (81 citations)
- Teaching Introductory Programming: A Quantitative Evaluation of Different Approaches (71 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- The Internet
- Software
Robert D. Macredie focuses on Knowledge management, Formative assessment, Information technology, Empirical research and User modeling.
His Knowledge management research is multidisciplinary, incorporating elements of Soft systems methodology, Software Engineering Process Group, Software documentation, Structured content and Web engineering.
His biological study spans a wide range of topics, including User experience design, Management science, Usability and Meaning.
A majority of his Information technology research is a blend of other scientific areas, such as Strategic information system, Management information systems, Small business, Variety and Business model.
His Empirical research research integrates issues from Mathematics education, Information management, Cognitive style, Information and Communications Technology and Web application.
His User modeling research includes themes of Web mining, Data mining and Information retrieval.
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