What is he best known for?
The fields of study he is best known for:
- Social science
- The Internet
- Educational technology
His main research concerns Learning analytics, Knowledge management, Analytics, Data science and Blended learning.
His studies in Learning analytics integrate themes in fields like Social network analysis, Self-regulated learning, Learning Management, Flipped classroom and Learning sciences.
His Learning Management research also works with subjects such as
- Collaborative learning and Blackboard most often made with reference to Predictive power,
- Learning community which connect with Student engagement and Computer-mediated communication.
His Knowledge management study combines topics in areas such as Experiential learning, Educational technology, Teaching method and Strategic planning.
His Analytics research is multidisciplinary, incorporating elements of Software engineering and Open learning.
His study focuses on the intersection of Data science and fields such as Context with connections in the field of Action.
His most cited work include:
- Mining LMS data to develop an early warning system for educators: A proof of concept (581 citations)
- Let’s not forget: Learning analytics are about learning (349 citations)
- Informing Pedagogical Action: Aligning Learning Analytics With Learning Design (256 citations)
What are the main themes of his work throughout his whole career to date?
Shane Dawson focuses on Learning analytics, Knowledge management, Analytics, Data science and Mathematics education.
His Learning analytics research incorporates themes from Context, Self-regulated learning, Experiential learning and Educational technology, Blended learning.
His work on Learning sciences as part of general Educational technology research is frequently linked to Documentation, bridging the gap between disciplines.
His work carried out in the field of Knowledge management brings together such families of science as Social network analysis, Learning Management, Strategic planning and Learning design.
His work on Educational data mining as part of general Data science research is frequently linked to Software analytics, Special section and Business analytics, thereby connecting diverse disciplines of science.
His Mathematics education study combines topics from a wide range of disciplines, such as Pedagogy and Professional development.
He most often published in these fields:
- Learning analytics (48.48%)
- Knowledge management (30.91%)
- Analytics (21.82%)
What were the highlights of his more recent work (between 2016-2021)?
- Learning analytics (48.48%)
- Mathematics education (20.00%)
- Analytics (21.82%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Learning analytics, Mathematics education, Analytics, Knowledge management and Educational technology.
Learning analytics is a primary field of his research addressed under Data science.
In his study, Computational linguistics and Annotation is strongly linked to Context, which falls under the umbrella field of Mathematics education.
His Knowledge management research integrates issues from Quality and Strategic planning.
His work deals with themes such as Experiential learning, Computer-Assisted Instruction and Duration, which intersect with Educational technology.
His research investigates the link between Academic achievement and topics such as Control that cross with problems in Learning Management.
Between 2016 and 2021, his most popular works were:
- Learning analytics to unveil learning strategies in a flipped classroom (102 citations)
- Using Learning Analytics to Scale the Provision of Personalised Feedback. (69 citations)
- Detecting Learning Strategies with Analytics: Links with Self-reported Measures and Academic Performance (62 citations)
In his most recent research, the most cited papers focused on:
- Social science
- The Internet
- Educational technology
Shane Dawson mostly deals with Learning analytics, Knowledge management, Mathematics education, Quality and Flipped classroom.
His Learning analytics research is multidisciplinary, incorporating perspectives in Academic achievement, Educational technology, Blended learning and Analytics.
His research in Educational technology intersects with topics in Experiential learning, Massive open online course and Interpersonal relationship.
The Knowledge management study combines topics in areas such as Corporate governance, Operationalization and Top-down and bottom-up design.
His study on Student engagement is often connected to Natural experiment as part of broader study in Mathematics education.
Shane Dawson has included themes like Agile software development, Software deployment, Stakeholder, TRACE and Instructional scaffolding in his Quality study.
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