Personality Questionnaires as a Basis for Improvement of University Courses in Applied Computer Science and Informatics
Abstract
In this paper, we lay the foundation for an adaptation of the teaching process to the personality traits and academic performance of the university students enrolled in applied computer science and informatics (ACSI). We discuss how such an adaptation could be supported by an analytical software solution and present the initial version of this solution. In the form of a case study, we discuss the scores from a personality questionnaire that was administered to a group of university students enrolled in an introductory programming course at the Faculty of Technical Sciences, University of Novi Sad, Serbia. During a non-mandatory workshop on programming, the participants completed the 48-item short-scale Eysenck Personality Questionnaire-Revised (EPQR). By using various exploratory and analytical techniques, we inspect the student EPQ-R scores and elaborate on the specificities of the participating student group. As part of our efforts to understand the broader relevance of different stu...dent personality traits in an academic environment, we also discuss how the EPQ-R scores of students could provide information valuable to the process of improving student learning and performance in university courses in ACSI.
Keywords:
personality questionnaire / EPQ-R / computer science education / Academic performanceSource:
Brain-Broad Research in Artificial Intelligence and Neuroscience, 2017, 8, 2, 96-108Publisher:
- Edusoft Publishing, Bacau
Funding / projects:
- Intelligent Systems for Software Product Development and Business Support Based on Models (RS-MESTD-Integrated and Interdisciplinary Research (IIR or III)-44010)
Collections
Institution/Community
Fakultet organizacionih naukaTY - JOUR AU - Ivančević, Vladimir AU - Knezević, Marko AU - Luković, Ivan PY - 2017 UR - https://rfos.fon.bg.ac.rs/handle/123456789/1686 AB - In this paper, we lay the foundation for an adaptation of the teaching process to the personality traits and academic performance of the university students enrolled in applied computer science and informatics (ACSI). We discuss how such an adaptation could be supported by an analytical software solution and present the initial version of this solution. In the form of a case study, we discuss the scores from a personality questionnaire that was administered to a group of university students enrolled in an introductory programming course at the Faculty of Technical Sciences, University of Novi Sad, Serbia. During a non-mandatory workshop on programming, the participants completed the 48-item short-scale Eysenck Personality Questionnaire-Revised (EPQR). By using various exploratory and analytical techniques, we inspect the student EPQ-R scores and elaborate on the specificities of the participating student group. As part of our efforts to understand the broader relevance of different student personality traits in an academic environment, we also discuss how the EPQ-R scores of students could provide information valuable to the process of improving student learning and performance in university courses in ACSI. PB - Edusoft Publishing, Bacau T2 - Brain-Broad Research in Artificial Intelligence and Neuroscience T1 - Personality Questionnaires as a Basis for Improvement of University Courses in Applied Computer Science and Informatics EP - 108 IS - 2 SP - 96 VL - 8 UR - conv_1941 ER -
@article{ author = "Ivančević, Vladimir and Knezević, Marko and Luković, Ivan", year = "2017", abstract = "In this paper, we lay the foundation for an adaptation of the teaching process to the personality traits and academic performance of the university students enrolled in applied computer science and informatics (ACSI). We discuss how such an adaptation could be supported by an analytical software solution and present the initial version of this solution. In the form of a case study, we discuss the scores from a personality questionnaire that was administered to a group of university students enrolled in an introductory programming course at the Faculty of Technical Sciences, University of Novi Sad, Serbia. During a non-mandatory workshop on programming, the participants completed the 48-item short-scale Eysenck Personality Questionnaire-Revised (EPQR). By using various exploratory and analytical techniques, we inspect the student EPQ-R scores and elaborate on the specificities of the participating student group. As part of our efforts to understand the broader relevance of different student personality traits in an academic environment, we also discuss how the EPQ-R scores of students could provide information valuable to the process of improving student learning and performance in university courses in ACSI.", publisher = "Edusoft Publishing, Bacau", journal = "Brain-Broad Research in Artificial Intelligence and Neuroscience", title = "Personality Questionnaires as a Basis for Improvement of University Courses in Applied Computer Science and Informatics", pages = "108-96", number = "2", volume = "8", url = "conv_1941" }
Ivančević, V., Knezević, M.,& Luković, I.. (2017). Personality Questionnaires as a Basis for Improvement of University Courses in Applied Computer Science and Informatics. in Brain-Broad Research in Artificial Intelligence and Neuroscience Edusoft Publishing, Bacau., 8(2), 96-108. conv_1941
Ivančević V, Knezević M, Luković I. Personality Questionnaires as a Basis for Improvement of University Courses in Applied Computer Science and Informatics. in Brain-Broad Research in Artificial Intelligence and Neuroscience. 2017;8(2):96-108. conv_1941 .
Ivančević, Vladimir, Knezević, Marko, Luković, Ivan, "Personality Questionnaires as a Basis for Improvement of University Courses in Applied Computer Science and Informatics" in Brain-Broad Research in Artificial Intelligence and Neuroscience, 8, no. 2 (2017):96-108, conv_1941 .