What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Cognitive science
- Pedagogy
Allan Collins mainly investigates Cognitive apprenticeship, Pedagogy, Cognitive science, Apprenticeship and Teaching method.
In general Pedagogy study, his work on Educational assessment often relates to the realm of Risk analysis, thereby connecting several areas of interest.
His studies in Apprenticeship integrate themes in fields like Mathematics education and Reading.
Many of his studies on Teaching method involve topics that are commonly interrelated, such as Learning theory.
Epistemology is closely connected to Situated learning in his research, which is encompassed under the umbrella topic of Learning theory.
His studies deal with areas such as Legitimate peripheral participation, Situated and Set as well as Epistemology.
His most cited work include:
- Situated Cognition and the Culture of Learning (10812 citations)
- A spreading-activation theory of semantic processing (6266 citations)
- The Cognitive Structure of Emotions (4663 citations)
What are the main themes of his work throughout his whole career to date?
Allan Collins spends much of his time researching Pedagogy, Mathematics education, Teaching method, Artificial intelligence and Epistemology.
The Mathematics education study combines topics in areas such as Computer aided instruction and Reading.
His work in Teaching method tackles topics such as Computer-Assisted Instruction which are related to areas like Human–computer interaction.
His Artificial intelligence course of study focuses on Natural language processing and Semantic memory.
His work in the fields of Epistemology, such as Construct, overlaps with other areas such as Theory.
Allan Collins focuses mostly in the field of Cognitive apprenticeship, narrowing it down to matters related to Learning theory and, in some cases, Situated learning.
He most often published in these fields:
- Pedagogy (18.66%)
- Mathematics education (17.91%)
- Teaching method (17.91%)
What were the highlights of his more recent work (between 2007-2019)?
- Pedagogy (18.66%)
- Educational technology (9.70%)
- Adult education (3.73%)
In recent papers he was focusing on the following fields of study:
Allan Collins focuses on Pedagogy, Educational technology, Adult education, Engineering ethics and Epistemology.
His Pedagogy research focuses on subjects like Mathematics education, which are linked to Face.
His Educational technology study also includes
- Lifelong learning that connect with fields like Appropriation, E-learning and Information and communication technologies for development,
- Distance education which connect with Apprenticeship.
His Adult education study integrates concerns from other disciplines, such as Experiential learning, Active learning, Learning sciences and Public relations.
His Learning sciences research incorporates themes from Learning theory, Situated learning and Knowledge management, Organizational learning.
Allan Collins regularly links together related areas like Creative problem-solving in his Epistemology studies.
Between 2007 and 2019, his most popular works were:
- Rethinking Education in the Age of Technology: The Digital Revolution and Schooling in America (411 citations)
- The Second Educational Revolution: Rethinking Education in the Age of Technology. (245 citations)
- Inference in text understanding (191 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Cognitive science
- Linguistics
His primary scientific interests are in Pedagogy, Science education, Engineering ethics, Educational technology and Artificial intelligence.
He interconnects Emerging technologies and Public relations in the investigation of issues within Pedagogy.
His study in Science education is interdisciplinary in nature, drawing from both Test, Metacognition and Scientific theory.
Allan Collins has included themes like Lifelong learning, E-learning and Appropriation in his Engineering ethics study.
The study incorporates disciplines such as Information and communication technologies for development, Context, Media studies, Distance education and Library science in addition to Educational technology.
His research integrates issues of Linguistics, Reading comprehension and Natural language processing in his study of Artificial intelligence.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
