The Effect of Teaching Methods and Learning Style on Learning Program Design in Web-Based Education Systems

Abstract

The instructional value of web-based education systems has been an important area of research in information systems education. This study investigates the effect of various teaching methods on program design learning for students with specific learning styles in web-based education systems. The study takes first-year Computer Science and Information Engineering majors as the sample population. In an earlier study (Hung & Huang, 2008), Bayesian Network analysis of experimental data showed that students with "Inputoriented" and "Perception-oriented" learning styles performed less well on program design tests. Following on these results, this study further analyzes student learning performance in the program design course with a focus on the relationship between teaching methods and learning styles. Students are divided into experimental groups and a control group. The subjects' learning performances are analyzed with the bi-factor variable analysis in SPSS. The results indicate that (a) in learning program design, input-oriented students taught with the diagram method exhibit significantly better learning performance than those using other teaching methods; and (b) in learning program design, perception-oriented students taught with the analogy method exhibit significantly better learning performance than those using other teaching methods.

Learning Styles and the Use of ICT in University Students within a Competency-Based Training Model

“…This is a requirement of a permanent education, that is, an education for life (Biesta, 2015). Through the effective and efficient use of LS, the demands of the social context interact with the personal characteristics of the students (Aguilera-Pupo & Ortiz-Torres, 2009;Hung, 2012;Wei, Moreau, & Jennings, 2005).…”

Teaching Methods for Computer Science Education in the Context of Significant Learning Theories

“…In his compilation of 800 meta-analyses into which more than 50,000 studies were included Hattie provides information on the influences on learning with respect to six domains: Contributions of the learner, the parental home, the school, the instructor, the curricula and teaching. In particular, the domain of teaching [24, The search through journals and conference reports on computer science education (Journal of Educational Computing Research, Computer Science Education, ACM Transaction on Computing Education, Special Interest Group Computer Science Education Bulletin) provided findings related to computer science education in regard to constructivist teaching activities [25], the "eXtreme teaching" approach [2], holistic teaching and learning [23], the influence of instructional methods on the design of computer programs [26], the effect of games on motivation in teaching [27], the application of formal modeling [28], the effectiveness of two-person team programming [29] and the application of the experiment [30].…”

Is learning styles-based instruction effective? A comprehensive analysis of recent research on learning styles

“…The study used the Felder and Silverman (1988) model that includes five dimensions: processing (active/reflective), perception (sensing/intuitive), input (visual/verbal), understanding (sequential/global), and organization (inductive/deductive). Hung (2012) focused on only two styles, inputoriented and perception-oriented, because a previous survey had suggested that students with these styles performed more poorly in program design courses. For students who were identified as input-oriented (visual/verbal), a diagram-based instructional method was adopted.…”