The Significance of Learning Style with Respect to Achievement in First Year Programming Students

  title={The Significance of Learning Style with Respect to Achievement in First Year Programming Students},
  author={Vivian Campbell and Michael N. Johnstone},
  journal={2010 21st Australian Software Engineering Conference},
div class="user"≫This study investigates the relationship between the Kolb learning style of first-year programming students and their level of achievement. The method of data collection is described and the process of hypothesis testing is explained. The students in this study were predominately converger and accommodator learning styles. Statistical tests indicated no overall difference between the results of students with different learning styles but a difference was found along Kolb’s… Expand

Figures, Tables, and Topics from this paper

The impacts of learning styles, learning patterns and demographic factors on learners' performance in a blended learning environment
The synergy between learning styles, learning patterns, and gender as a selected demographic feature and learners' performance were quantitatively investigated in a blended learning setting and show that there is no statistical significance in some of the assessed factors. Expand
Learning Loops: A Replication Study Illuminates Impact of HS Courses
For the novice programmers, there is a statistically significant difference in performance based on whether the student had previous programming courses in high school, however, this performance difference disappears in a follow-on course after all students have taken an introductory computer science programming course. Expand
An Empirical Study on the Use of Student-Focused Approaches in the Software Engineering Teaching
This research aims to investigate if the use of studentfocused approaches in the Software Engineering (SE) teaching can develop more technical competencies to apply in industry than when traditional approaches are applied. Expand
An exploration of traditional and data driven predictors of programming performance
The results showed that the strongest predictors identified over the past fifty years are data-driven metrics based upon programming behaviour, suggesting that both a certain level of scientific maturity and self-concept are necessary for programming. Expand
Improving students performance in introductory programming subject: A case study
  • Hazleen Aris
  • Computer Science
  • 2015 10th International Conference on Computer Science & Education (ICCSE)
  • 2015
After three semesters, it can be concluded that the introduced changes enabled students to obtain better marks in their final examinations and fairer grades in the subject. Expand
Assessment of Challenges of Teaching and Learning Computer Programming in Tanzanian Higher Education
This chapter emanates from a study which sought to investigate challenges of teaching and learning computer programming in higher education. The study was conducted at Sokoine University ofExpand
Understanding Learning Styles, Attitudes and Intentions in Using e-Learning System: Evidence from Brunei
This study investigates the students’ learning style, their attitudes about educational technologies in general ande-learning management system (e-LMS) in particular and their behavioral intentionsExpand
Which Factors Affect Learner Achievement? Analysing the Role of Psychological, Surface Level, Environmental and Learner Effort Variables
The meshing hypothesis of learning styles suggests that matching teaching and learning styles can promote learning experience. In this research, learning styles (psychological variable), genderExpand
No tests required: comparing traditional and dynamic predictors of programming success
The implication of this study is that a student's programming behavior is one of the strongest indicators of their performance, and future work should continue to explore such predictors in different teaching contexts. Expand
A number of theoretical and technical issues of LS-BAEHSs are highlighted to serve as a comprehensive guidance for researchers who interest in this area and to reveal the value of integrating learning styles in EHSs. Expand


The effect of student attributes on success in programming
This paper examines the relationship between student results in a first year programming course and predisposition factors of gender, prior computing experience, learning style and academicExpand
An investigation into student characteristics affecting novice programming performance
The study revealed that a student's problem solving ability and first language definitely have an impact on his or her programming performance. Expand
Learning style and factors contributing to success in an introductory computer science course
  • James D. Allert
  • Computer Science
  • IEEE International Conference on Advanced Learning Technologies, 2004. Proceedings.
  • 2004
This study of learning style determined that reflective and verbal learners outperformed active and visual ones in CSI, and opinions of the value of programming projects and lectures rank highest and seem to cut across learning style preference. Expand
Indicators of performance in first-year computing
  • Annegret Goold, R. Rimmer
  • Computer Science
  • Proceedings 23rd Australasian Computer Science Conference. ACSC 2000 (Cat. No.PR00518)
  • 2000
A group of first-year university students majoring in computer science were the subjects of this research. The performances of these students in the study of information technology unit and two unitsExpand
Using learning style data in an introductory computer science course
How learning style data can be used to help guide student study habits and instructional strategies and whether or not there is a correlation between learning style and academic performance in an introductory computer science course is examined. Expand
Factors affecting performance in first-year computing
Performances are analysed over successive semesters for a cohort of first-year students doing computer programming, finding that influence fluctuates over time and across area of study. Expand
An Innovative Approach to Teaching First Year Programming Supported by Learning Style Investigation
Murdoch University, School of Engineering Science, has since its inception in 1995 been actively embracing new challenges to improve teaching and learning within its courses. One of the aims of theExpand
A Study of Student's Perceptions in a Blended Learning Environment Based on Different Learning Styles
The overall findings showed no significant differences between students' achievement level according to their learning styles, and it was revealed that the highest mean score corresponds to face to face aspect of the process when students' evaluation concerning the implementation is taken to consideration. Expand
Learning and Teaching Styles in Engineering Education.
When Linda Silverman and I wrote this paper in 1987, our goal was to offer some insights about teaching and learning based on Dr. Silverman’s expertise in educational psychology and my experience inExpand
Learning styles and pedagogy in post-16 learning: a systematic and critical review
Learning style instruments are widely used but not enough is known about their reliability and validity and their impact on pedagogy in post-16 learning. This report documents work from a projectExpand