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A Preliminary Instrument for Measuring Students’ Subjective Perceptions of Difficulties in Learning Recursion | IEEE Journals & Magazine | IEEE Xplore

A Preliminary Instrument for Measuring Students’ Subjective Perceptions of Difficulties in Learning Recursion


Abstract:

Contribution: Findings are provided from an initial survey to evaluate the magnitude of the recursion problem from the student point of view. Background: A major difficul...Show More

Abstract:

Contribution: Findings are provided from an initial survey to evaluate the magnitude of the recursion problem from the student point of view. Background: A major difficulty that programming students must overcome-the learning of recursion-has been addressed by many authors, using various approaches, but none have considered how students perceive this issue. Research Questions: 1) How can an instrument be developed to characterize the main difficulties students encounter, from their subjective perspective, when learning recursion? and 2) How can the quality of the developed instrument be determined? Methodology: 1) A development process was followed to create the instrument. This process included justification of the content, and a quality analysis of the instrument in terms of validity and reliability and 2) the study was on a limited number of students, so should be regarded as preliminary with respect to validity and reliability of results. Findings: 1) An initial survey indicates the magnitude of the recursion problem from the students' point of view; 2) students' perception is that neither motivation, nor their previous knowledge of theoretical concepts on recursion, are factors that affect their learning of the recursion process; and 3) for further statistical analysis, data from a simplified survey proved more valid and more reliable than that from the original survey, for the study sample examined.
Published in: IEEE Transactions on Education ( Volume: 61, Issue: 2, May 2018)
Page(s): 119 - 126
Date of Publication: 16 October 2017

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Department of Technology and Information Systems, Universidad of Castilla-La Mancha, Ciudad Real, Spain
Carmen Lacave received the M.Sc. degree in mathematics from the Universidad Complutense de Madrid, Spain, and the Ph.D. degree in science from the UNED, Spain. She is currently an Associate Professor with the Universidad de Castilla-La Mancha, Spain. Her work focuses on the application of statistics, information technology, and artificial intelligence to education.
Carmen Lacave received the M.Sc. degree in mathematics from the Universidad Complutense de Madrid, Spain, and the Ph.D. degree in science from the UNED, Spain. She is currently an Associate Professor with the Universidad de Castilla-La Mancha, Spain. Her work focuses on the application of statistics, information technology, and artificial intelligence to education.View more
Department of Technology and Information Systems, Universidad of Castilla-La Mancha, Ciudad Real, Spain
Ana I. Molina received the M.Sc. and Ph.D. degrees in computer science from the University of Castilla-La Mancha, Spain, where she belongs to the Computer Human Interaction and Collaboration Research Group and is an Associate Professor. Her main research interests are model-based user interface development, human–computer interaction, computer-supported cooperative work, and collaborative learning.
Ana I. Molina received the M.Sc. and Ph.D. degrees in computer science from the University of Castilla-La Mancha, Spain, where she belongs to the Computer Human Interaction and Collaboration Research Group and is an Associate Professor. Her main research interests are model-based user interface development, human–computer interaction, computer-supported cooperative work, and collaborative learning.View more
Department of Technology and Information Systems, Universidad of Castilla-La Mancha, Ciudad Real, Spain
Miguel A. Redondo received the M.Sc. degree in computer science from the University of Granada, Spain, and the Ph.D. degree from the University of Castilla-La Mancha, Spain, where he is currently an Associate Professor. His research focuses on the fields of software engineering and new information technologies applied to collaborative learning and human–computer interaction.
Miguel A. Redondo received the M.Sc. degree in computer science from the University of Granada, Spain, and the Ph.D. degree from the University of Castilla-La Mancha, Spain, where he is currently an Associate Professor. His research focuses on the fields of software engineering and new information technologies applied to collaborative learning and human–computer interaction.View more

Department of Technology and Information Systems, Universidad of Castilla-La Mancha, Ciudad Real, Spain
Carmen Lacave received the M.Sc. degree in mathematics from the Universidad Complutense de Madrid, Spain, and the Ph.D. degree in science from the UNED, Spain. She is currently an Associate Professor with the Universidad de Castilla-La Mancha, Spain. Her work focuses on the application of statistics, information technology, and artificial intelligence to education.
Carmen Lacave received the M.Sc. degree in mathematics from the Universidad Complutense de Madrid, Spain, and the Ph.D. degree in science from the UNED, Spain. She is currently an Associate Professor with the Universidad de Castilla-La Mancha, Spain. Her work focuses on the application of statistics, information technology, and artificial intelligence to education.View more
Department of Technology and Information Systems, Universidad of Castilla-La Mancha, Ciudad Real, Spain
Ana I. Molina received the M.Sc. and Ph.D. degrees in computer science from the University of Castilla-La Mancha, Spain, where she belongs to the Computer Human Interaction and Collaboration Research Group and is an Associate Professor. Her main research interests are model-based user interface development, human–computer interaction, computer-supported cooperative work, and collaborative learning.
Ana I. Molina received the M.Sc. and Ph.D. degrees in computer science from the University of Castilla-La Mancha, Spain, where she belongs to the Computer Human Interaction and Collaboration Research Group and is an Associate Professor. Her main research interests are model-based user interface development, human–computer interaction, computer-supported cooperative work, and collaborative learning.View more
Department of Technology and Information Systems, Universidad of Castilla-La Mancha, Ciudad Real, Spain
Miguel A. Redondo received the M.Sc. degree in computer science from the University of Granada, Spain, and the Ph.D. degree from the University of Castilla-La Mancha, Spain, where he is currently an Associate Professor. His research focuses on the fields of software engineering and new information technologies applied to collaborative learning and human–computer interaction.
Miguel A. Redondo received the M.Sc. degree in computer science from the University of Granada, Spain, and the Ph.D. degree from the University of Castilla-La Mancha, Spain, where he is currently an Associate Professor. His research focuses on the fields of software engineering and new information technologies applied to collaborative learning and human–computer interaction.View more
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