2016 - ACM Senior Member
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 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
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.
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.
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.
Algebric Decision Diagrams and Their Applications
R. I. Bahar;E. A. Frohm;C. M. Gaona;G. D. Hachtel.
formal methods (1997)
VIS: A System for Verification and Synthesis
Robert K. Brayton;Gary D. Hachtel;Alberto L. Sangiovanni-Vincentelli;Fabio Somenzi.
computer aided verification (1996)
Algebraic decision diagrams and their applications
R. Iris Bahar;Erica A. Frohm;Charles M. Gaona;Gary D. Hachtel.
international conference on computer aided design (1993)
Ethical and privacy principles for learning analytics
Abelardo Pardo;George Siemens.
British Journal of Educational Technology (2014)
The student activity meter for awareness and self-reflection
Sten Govaerts;Katrien Verbert;Erik Duval;Abelardo Pardo.
human factors in computing systems (2012)
Learning analytics to unveil learning strategies in a flipped classroom
Jelena Jovanović;Dragan Gašević;Shane Dawson;Abelardo Pardo.
Internet and Higher Education (2017)
Markovian analysis of large finite state machines
G.D. Hachtel;E. Macii;A. Pardo;F. Somenzi.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (1996)
Monitoring student progress using virtual appliances: A case study
Vicente-Arturo Romero-Zaldivar;Abelardo Pardo;Daniel Burgos;Carlos Delgado Kloos.
Computer Education (2012)
Embracing Big Data in Complex Educational Systems: The Learning Analytics Imperative and the Policy Challenge.
Leah P. Macfadyen;Shane Dawson;Abelardo Pardo;Dragan Gaševic.
Research & Practice in Assessment (2014)
GLASS: a learning analytics visualization tool
Derick Leony;Abelardo Pardo;Luis de la Fuente Valentín;David Sánchez de Castro.
learning analytics and knowledge (2012)
Profile was last updated on December 6th, 2021.
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