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A Novel Web-Based Approach for Visualization and Inspection of Reading Difficulties on University Students | IEEE Journals & Magazine | IEEE Xplore

A Novel Web-Based Approach for Visualization and Inspection of Reading Difficulties on University Students


Abstract:

Existing tools aim to detect university students with early diagnosis of dyslexia or reading difficulties, but there are not developed tools that let those students bette...Show More

Abstract:

Existing tools aim to detect university students with early diagnosis of dyslexia or reading difficulties, but there are not developed tools that let those students better understand some aspects of their difficulties. In this paper, a dashboard for visualizing and inspecting early detected reading difficulties and their characteristics, called PADA (acronym for the Spanish name Panel de Analíticas de Aprendizaje de Dislexia en Adultos), is presented. PADA is a web-based tool designed to facilitate the creation of descriptive visualizations required for a better understanding by students about their learner model. Through information visualization techniques, PADA shows students the knowledge in their learner models in order to help them to increase their awareness and to support reflection and self-regulation about their difficulties in reading. PADA provides different learning analytics on reading performance of students, so that they can self-identify their strengths and weaknesses and self-regulate their learning. This paper describes examples that cover a variety of visualizations (bar-charts, line-charts, and pie-charts) to show user model fragments as personal details, reading profiles, learning styles, and cognitive traits of the students. We tested PADA with 26 students (aged 21-53 years) of different academic programs and levels, dyslexic and non-dyslexic. The results show that PADA can assist students in creating awareness, and help them to understand their difficulties associated with the reading tasks, as well as facilitate reflection and self-regulation in the learning process. Implications for the design of learning analytics are discussed and directions for future work are outlined.
Published in: IEEE Transactions on Learning Technologies ( Volume: 10, Issue: 1, 01 Jan.-March 2017)
Page(s): 53 - 67
Date of Publication: 08 November 2016

ISSN Information:

Author image of Carolina Mejia
FEAV, Universidad EAN, Bogotá, Colombia
Carolina Meja received the PhD degree in technology from the Universitat de Girona, Spain, in 2013. She currently is a professor in the School of Studies in Virtual Environments, EAN University, Colombia. She has an extensive experience doing active research and development in technology-enhanced learning (TeL) and related areas, including adaptive systems, user modelling, inclusive education, and learning analytics.
Carolina Meja received the PhD degree in technology from the Universitat de Girona, Spain, in 2013. She currently is a professor in the School of Studies in Virtual Environments, EAN University, Colombia. She has an extensive experience doing active research and development in technology-enhanced learning (TeL) and related areas, including adaptive systems, user modelling, inclusive education, and learning analytics.View more
Author image of Beatriz Florian
EISC, Universidad del Valle, Cali, CO, Colombia
Beatriz Florian received the PhD degree in technology from the Universitat de Girona, Spain, in 2013. She currently works as an assistant professor in the Computation and Systems Engineering School, University of Valle, Colombia. Her current research interests include adaptive hypermedia systems, e-assessment, learning and teaching analytics, and TEL recommender systems.
Beatriz Florian received the PhD degree in technology from the Universitat de Girona, Spain, in 2013. She currently works as an assistant professor in the Computation and Systems Engineering School, University of Valle, Colombia. Her current research interests include adaptive hypermedia systems, e-assessment, learning and teaching analytics, and TEL recommender systems.View more
Author image of Ravi Vatrapu
Center for Business Data Analytics, Denmark & WOACT, Frederiksberg, Norway
Ravi Vatrapu received the PhD degree in communication and information sciences from the University of Hawaii at Manoa, in 2007. He is the director of the Centre for Business Data Analytics, Professor of Human-Computer Interaction, Department of IT Management, Copenhagen Business School; and professor of applied computing in the Westerdals Oslo School of Arts Communication and Technology. His current research focus is ...Show More
Ravi Vatrapu received the PhD degree in communication and information sciences from the University of Hawaii at Manoa, in 2007. He is the director of the Centre for Business Data Analytics, Professor of Human-Computer Interaction, Department of IT Management, Copenhagen Business School; and professor of applied computing in the Westerdals Oslo School of Arts Communication and Technology. His current research focus is ...View more
Author image of Susan Bull
Institute of Education, University College London, London, United Kingdom
Susan Bull received the PhD degree in artificial intelligence in education from the University of Edinburgh, in 1997, where she developed the approach of open learner modelling. She has since undertaken research in various aspects of open learner modelling, and recently in learning analytics. She is currently an honorary researcher in the Institute of Education, University College London, U.K.
Susan Bull received the PhD degree in artificial intelligence in education from the University of Edinburgh, in 1997, where she developed the approach of open learner modelling. She has since undertaken research in various aspects of open learner modelling, and recently in learning analytics. She is currently an honorary researcher in the Institute of Education, University College London, U.K.View more
Author image of Sergio Gomez
UMB Virtual, Universidad Manuela Beltran, Cajicá, Colombia
Sergio Gómez received the PhD degree in technology from the Universitat de Girona, Spain, in 2013. He currently is coordinator of a Master Program in Techologies applied to education in the Virtual Learning Unit, University of Manuela Beltran, Colombia. His current research interests include mobile and contextual learning, adaptive educational systems, and big data in education.
Sergio Gómez received the PhD degree in technology from the Universitat de Girona, Spain, in 2013. He currently is coordinator of a Master Program in Techologies applied to education in the Virtual Learning Unit, University of Manuela Beltran, Colombia. His current research interests include mobile and contextual learning, adaptive educational systems, and big data in education.View more
Author image of Ramon Fabregat
IIA, University of Girona, Girona, Spain
Ramon Fabregat received the PhD degree in industrial engineering from the Universitat de Girona, Spain, in 1999. He is an associate professor in the Department of Architecture and Computer Science, Universitat de Girona. He is a codirector of the Broadband Communications and Distributed Systems Research Group and a member of the Institute of Informatics and Applications, University of Girona, Spain.
Ramon Fabregat received the PhD degree in industrial engineering from the Universitat de Girona, Spain, in 1999. He is an associate professor in the Department of Architecture and Computer Science, Universitat de Girona. He is a codirector of the Broadband Communications and Distributed Systems Research Group and a member of the Institute of Informatics and Applications, University of Girona, Spain.View more

Author image of Carolina Mejia
FEAV, Universidad EAN, Bogotá, Colombia
Carolina Meja received the PhD degree in technology from the Universitat de Girona, Spain, in 2013. She currently is a professor in the School of Studies in Virtual Environments, EAN University, Colombia. She has an extensive experience doing active research and development in technology-enhanced learning (TeL) and related areas, including adaptive systems, user modelling, inclusive education, and learning analytics.
Carolina Meja received the PhD degree in technology from the Universitat de Girona, Spain, in 2013. She currently is a professor in the School of Studies in Virtual Environments, EAN University, Colombia. She has an extensive experience doing active research and development in technology-enhanced learning (TeL) and related areas, including adaptive systems, user modelling, inclusive education, and learning analytics.View more
Author image of Beatriz Florian
EISC, Universidad del Valle, Cali, CO, Colombia
Beatriz Florian received the PhD degree in technology from the Universitat de Girona, Spain, in 2013. She currently works as an assistant professor in the Computation and Systems Engineering School, University of Valle, Colombia. Her current research interests include adaptive hypermedia systems, e-assessment, learning and teaching analytics, and TEL recommender systems.
Beatriz Florian received the PhD degree in technology from the Universitat de Girona, Spain, in 2013. She currently works as an assistant professor in the Computation and Systems Engineering School, University of Valle, Colombia. Her current research interests include adaptive hypermedia systems, e-assessment, learning and teaching analytics, and TEL recommender systems.View more
Author image of Ravi Vatrapu
Center for Business Data Analytics, Denmark & WOACT, Frederiksberg, Norway
Ravi Vatrapu received the PhD degree in communication and information sciences from the University of Hawaii at Manoa, in 2007. He is the director of the Centre for Business Data Analytics, Professor of Human-Computer Interaction, Department of IT Management, Copenhagen Business School; and professor of applied computing in the Westerdals Oslo School of Arts Communication and Technology. His current research focus is on big social data analytics.
Ravi Vatrapu received the PhD degree in communication and information sciences from the University of Hawaii at Manoa, in 2007. He is the director of the Centre for Business Data Analytics, Professor of Human-Computer Interaction, Department of IT Management, Copenhagen Business School; and professor of applied computing in the Westerdals Oslo School of Arts Communication and Technology. His current research focus is on big social data analytics.View more
Author image of Susan Bull
Institute of Education, University College London, London, United Kingdom
Susan Bull received the PhD degree in artificial intelligence in education from the University of Edinburgh, in 1997, where she developed the approach of open learner modelling. She has since undertaken research in various aspects of open learner modelling, and recently in learning analytics. She is currently an honorary researcher in the Institute of Education, University College London, U.K.
Susan Bull received the PhD degree in artificial intelligence in education from the University of Edinburgh, in 1997, where she developed the approach of open learner modelling. She has since undertaken research in various aspects of open learner modelling, and recently in learning analytics. She is currently an honorary researcher in the Institute of Education, University College London, U.K.View more
Author image of Sergio Gomez
UMB Virtual, Universidad Manuela Beltran, Cajicá, Colombia
Sergio Gómez received the PhD degree in technology from the Universitat de Girona, Spain, in 2013. He currently is coordinator of a Master Program in Techologies applied to education in the Virtual Learning Unit, University of Manuela Beltran, Colombia. His current research interests include mobile and contextual learning, adaptive educational systems, and big data in education.
Sergio Gómez received the PhD degree in technology from the Universitat de Girona, Spain, in 2013. He currently is coordinator of a Master Program in Techologies applied to education in the Virtual Learning Unit, University of Manuela Beltran, Colombia. His current research interests include mobile and contextual learning, adaptive educational systems, and big data in education.View more
Author image of Ramon Fabregat
IIA, University of Girona, Girona, Spain
Ramon Fabregat received the PhD degree in industrial engineering from the Universitat de Girona, Spain, in 1999. He is an associate professor in the Department of Architecture and Computer Science, Universitat de Girona. He is a codirector of the Broadband Communications and Distributed Systems Research Group and a member of the Institute of Informatics and Applications, University of Girona, Spain.
Ramon Fabregat received the PhD degree in industrial engineering from the Universitat de Girona, Spain, in 1999. He is an associate professor in the Department of Architecture and Computer Science, Universitat de Girona. He is a codirector of the Broadband Communications and Distributed Systems Research Group and a member of the Institute of Informatics and Applications, University of Girona, Spain.View more

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