What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- Pedagogy
- Educational technology
Marlene Scardamalia mainly investigates Knowledge management, Knowledge building, Intentional learning, Mathematics education and Pedagogy.
As part of her studies on Knowledge management, Marlene Scardamalia often connects relevant subjects like Competence.
The concepts of her Knowledge building study are interwoven with issues in Knowledge level, Educational technology and Body of knowledge.
Marlene Scardamalia interconnects Salient, Perception, Educational psychology, Agency and Zone of proximal development in the investigation of issues within Intentional learning.
Marlene Scardamalia has researched Mathematics education in several fields, including Knowledge society and Control.
In general Pedagogy, her work in Learning environment is often linked to Design elements and principles linking many areas of study.
Her most cited work include:
- The psychology of written composition (1925 citations)
- Computer Support for Knowledge-Building Communities (1836 citations)
- Surpassing Ourselves: An Inquiry into the Nature and Implications of Expertise (1007 citations)
What are the main themes of her work throughout her whole career to date?
Her primary areas of study are Knowledge building, Knowledge management, Mathematics education, Pedagogy and Engineering ethics.
Her Knowledge building research incorporates elements of Context, Educational technology and Knowledge creation.
Marlene Scardamalia combines topics linked to Knowledge society with her work on Knowledge management.
Her Mathematics education research incorporates themes from Intentional learning and Discourse analysis.
Her work often combines Intentional learning and Computer supported studies.
Her work deals with themes such as Knowledge level and Vocabulary, which intersect with Pedagogy.
She most often published in these fields:
- Knowledge building (53.85%)
- Knowledge management (37.76%)
- Mathematics education (23.78%)
What were the highlights of her more recent work (between 2011-2021)?
- Knowledge building (53.85%)
- Knowledge management (37.76%)
- Engineering ethics (11.89%)
In recent papers she was focusing on the following fields of study:
Marlene Scardamalia mostly deals with Knowledge building, Knowledge management, Engineering ethics, Knowledge creation and Mathematics education.
Her Knowledge building study deals with the bigger picture of Pedagogy.
Her work on Knowledge engineering as part of general Knowledge management research is frequently linked to Class, thereby connecting diverse disciplines of science.
She has included themes like Mindset and Distance education in her Knowledge creation study.
Her studies deal with areas such as Surprise and Artificial intelligence as well as Mathematics education.
Her study in Knowledge survey is interdisciplinary in nature, drawing from both Knowledge integration, Domain knowledge, Body of knowledge and Organizational learning.
Between 2011 and 2021, her most popular works were:
- Smart technology for self-organizing processes (129 citations)
- New Assessments and Environments for Knowledge Building (100 citations)
- Managing, Understanding, Applying, and Creating Knowledge in the Information Age: Next-Generation Challenges and Opportunities (82 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Pedagogy
- Educational technology
Her primary areas of investigation include Knowledge building, Knowledge management, Design thinking, Creative work and Pedagogy.
The various areas that Marlene Scardamalia examines in her Knowledge building study include Metadiscourse and Primary education.
Her work in Knowledge management tackles topics such as Productive Vocabulary which are related to areas like Learning community.
Her Design thinking study incorporates themes from Control, Cognitive science and Mindset.
Marlene Scardamalia combines subjects such as Mathematics education and Discourse analysis with her study of Pedagogy.
When carried out as part of a general Mathematics education research project, her work on Group work, Cooperative learning and Educational technology is frequently linked to work in Computer-mediated communication, therefore connecting diverse disciplines of study.
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.
