D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 36 Citations 6,331 314 World Ranking 7189 National Ranking 97

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • The Internet
  • Programming language

Multimedia, Educational technology, Learning analytics, World Wide Web and The Internet are his primary areas of study. His Multimedia research includes themes of Experiential learning, Visualization, Interoperability and Augmented reality. The various areas that he examines in his Augmented reality study include Enthusiasm, Applied psychology, Relevance and Usability.

His Educational technology study incorporates themes from Collaborative learning, Higher education and Instructional design. In Learning analytics, Carlos Delgado Kloos works on issues like Set, which are connected to Information and Communications Technology. His World Wide Web study combines topics from a wide range of disciplines, such as Ubiquitous computing and Affordance.

His most cited work include:

  • Impact of an augmented reality system on students' motivation for a visual art course (438 citations)
  • Experimenting with electromagnetism using augmented reality: Impact on flow student experience and educational effectiveness (236 citations)
  • Monitoring student progress using virtual appliances: A case study (100 citations)

What are the main themes of his work throughout his whole career to date?

Carlos Delgado Kloos mostly deals with Multimedia, World Wide Web, Learning analytics, Educational technology and Human–computer interaction. His Multimedia study combines topics in areas such as Engineering education, Set, IMS Learning Design, Metaverse and Collaborative learning. His biological study spans a wide range of topics, including Software engineering and Service.

The study incorporates disciplines such as Visualization and Analytics in addition to Learning analytics. His studies in Educational technology integrate themes in fields like Experiential learning, Synchronous learning, Open learning and Knowledge management. His study in Human–computer interaction concentrates on Usability and Augmented reality.

He most often published in these fields:

  • Multimedia (35.51%)
  • World Wide Web (18.38%)
  • Learning analytics (18.07%)

What were the highlights of his more recent work (between 2015-2021)?

  • Learning analytics (18.07%)
  • Multimedia (35.51%)
  • Mathematics education (7.17%)

In recent papers he was focusing on the following fields of study:

Carlos Delgado Kloos spends much of his time researching Learning analytics, Multimedia, Mathematics education, Artificial intelligence and Data science. As part of one scientific family, Carlos Delgado Kloos deals mainly with the area of Learning analytics, narrowing it down to issues related to the World Wide Web, and often Java. Multimedia and Digital education are two areas of study in which Carlos Delgado Kloos engages in interdisciplinary research.

Carlos Delgado Kloos studied Mathematics education and Higher education that intersect with Public relations. His studies examine the connections between Artificial intelligence and genetics, as well as such issues in Machine learning, with regards to Clickstream and Adaptation. As a part of the same scientific family, Carlos Delgado Kloos mostly works in the field of Data science, focusing on Educational technology and, on occasion, Augmented reality.

Between 2015 and 2021, his most popular works were:

  • Prediction in MOOCs: A Review and Future Research Directions (42 citations)
  • Understanding Learners’ Motivation and Learning Strategies in MOOCs (41 citations)
  • H-MOOC Framework: Reusing MOOCs for Hybrid Education. (32 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • The Internet
  • Programming language

His primary areas of investigation include Learning analytics, Mathematics education, Multimedia, Data science and Artificial intelligence. His Learning analytics research includes elements of Sentiment analysis and Distance education. In his study, Informal education, Lifelong learning and Open education is strongly linked to Goal orientation, which falls under the umbrella field of Mathematics education.

Many of his studies on Multimedia involve topics that are commonly interrelated, such as Remedial education. His study focuses on the intersection of Data science and fields such as Certificate with connections in the field of Data-driven, World Wide Web, Collaborative learning, Academic dishonesty and Focus. Carlos Delgado Kloos works mostly in the field of Artificial intelligence, limiting it down to topics relating to Machine learning and, in certain cases, Clickstream and Local independence, as a part of the same area of interest.

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.

Best Publications

Impact of an augmented reality system on students' motivation for a visual art course

Ángela Di Serio;María Blanca Ibáñez;Carlos Delgado Kloos.
Computer Education (2013)

1138 Citations

Experimenting with electromagnetism using augmented reality: Impact on flow student experience and educational effectiveness

María Blanca Ibáñez;Ángela Di Serio;Diego Villarán;Carlos Delgado Kloos.
Computer Education (2014)

552 Citations

Monitoring student progress using virtual appliances: A case study

Vicente-Arturo Romero-Zaldivar;Abelardo Pardo;Daniel Burgos;Carlos Delgado Kloos.
Computer Education (2012)

191 Citations

GLASS: a learning analytics visualization tool

Derick Leony;Abelardo Pardo;Luis de la Fuente Valentín;David Sánchez de Castro.
learning analytics and knowledge (2012)

145 Citations

Precise Effectiveness Strategy for analyzing the effectiveness of students with educational resources and activities in MOOCs

Pedro J. Muñoz-Merino;José A. Ruipérez-Valiente;Carlos Alario-Hoyos;Mar Pérez-Sanagustín.
educational data mining (2015)

135 Citations

Understanding Learners’ Motivation and Learning Strategies in MOOCs

Carlos Alario-Hoyos;Iria Estévez-Ayres;Mar Pérez-Sanagustín;Carlos Delgado Kloos.
The International Review of Research in Open and Distributed Learning (2017)

128 Citations

Early Infrastructure of an Internet of Things in Spaces for Learning

G.R. Gonzalez;M.M. Organero;C.D. Kloos.
international conference on advanced learning technologies (2008)

125 Citations

Formal Semantics for VHDL

Carlos Delgado Kloos;Peter T. Breuer.
(1995)

121 Citations

ALAS-KA

José A. Ruipérez-Valiente;Pedro J. Muñoz-Merino;Derick Leony;Carlos Delgado Kloos.
educational data mining (2015)

120 Citations

Formal Verification of BPEL4WS Business Collaborations

Jesús Arias Fisteus;Luis Sánchez Fernández;Carlos Delgado Kloos.
international conference on electronic commerce (2004)

114 Citations

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