What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- The Internet
- Operating system
His primary areas of study are Learning analytics, Multimedia, Educational technology, Data science and Algorithm.
His Learning analytics study combines topics from a wide range of disciplines, such as Knowledge management, Flipped classroom, Academic achievement, Analytics and Blended learning.
His Multimedia research focuses on Visualization and how it connects with Variety, Usability, Value and Session.
The concepts of his Educational technology study are interwoven with issues in Experiential learning, Learning Management, The Internet and Instructional design.
His Data science study combines topics in areas such as Information privacy and Learning theory.
His research investigates the link between Algorithm and topics such as Sequential logic that cross with problems in Model checking, Boolean function and Formal verification.
His most cited work include:
- VIS: A System for Verification and Synthesis (547 citations)
- Algebraic decision diagrams and their applications (533 citations)
- Algebric Decision Diagrams and Their Applications (228 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Learning analytics, Multimedia, Data science, Educational technology and Blended learning.
The various areas that Abelardo Pardo examines in his Learning analytics study include Knowledge management, Mathematics education, Self-regulated learning, Flipped classroom and Analytics.
The Knowledge management study combines topics in areas such as Learning sciences and Engineering management.
His Multimedia research also works with subjects such as
- IMS Learning Design that connect with fields like Software engineering and Service,
- Human–computer interaction and related Visualization.
His work in Educational technology addresses issues such as Synchronous learning, which are connected to fields such as Open learning.
His Blended learning research is multidisciplinary, relying on both Cooperative learning and Engineering education.
He most often published in these fields:
- Learning analytics (38.42%)
- Multimedia (22.66%)
- Data science (16.75%)
What were the highlights of his more recent work (between 2017-2021)?
- Learning analytics (38.42%)
- Mathematics education (11.82%)
- Self-regulated learning (6.90%)
In recent papers he was focusing on the following fields of study:
Abelardo Pardo mostly deals with Learning analytics, Mathematics education, Self-regulated learning, Data science and Analytics.
His biological study spans a wide range of topics, including Set, Flipped classroom, Knowledge management and Blended learning.
His Blended learning research incorporates themes from Academic achievement and Engineering education.
His research in Self-regulated learning tackles topics such as Learning Management which are related to areas like Baseline.
His Data science research integrates issues from Transparency, Scalability, Data analysis and Learning design.
Abelardo Pardo focuses mostly in the field of Analytics, narrowing it down to topics relating to Multimedia and, in certain cases, Flipped learning and Body of knowledge.
Between 2017 and 2021, his most popular works were:
- Using Learning Analytics to Scale the Provision of Personalised Feedback. (69 citations)
- From Study Tactics to Learning Strategies: An Analytical Method for Extracting Interpretable Representations (37 citations)
- A Systematic Review of Empirical Studies on Learning Analytics Dashboards: A Self-Regulated Learning Perspective (36 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- The Internet
- Operating system
Abelardo Pardo focuses on Learning analytics, Self-regulated learning, Knowledge management, Analytics and Data science.
His Learning analytics research is multidisciplinary, incorporating perspectives in Educational data mining, Set, Academic achievement and Educational technology, Blended learning.
His study focuses on the intersection of Academic achievement and fields such as Control with connections in the field of Mathematics education.
Abelardo Pardo has included themes like Data collection, Multimedia, Learning experience, Body of knowledge and Experiential learning in his Educational technology study.
As a part of the same scientific family, Abelardo Pardo mostly works in the field of Self-regulated learning, focusing on Learning Management and, on occasion, Duration, Baseline and Cognitive psychology.
His work carried out in the field of Knowledge management brings together such families of science as Stakeholder and Software deployment.
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