Relationship between perceived problem‐solving skills and academic performance of novice learners in introductory programming courses.
Past research has shown that student problem‐solving skills may be used to determine student final exam performance. This study reports on the relationship between student perceived problem‐solving skills and academic performance in introductory programming, in formative and summative programming as...
| Publicado en: | Journal of Computer Assisted Learning Vol. 35; no. 2; pp. 246 - 256 |
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| Autores principales: | , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Apr2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=135292585&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 135292585 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02664909 6M1 jtl: Journal of Computer Assisted Learning issn: 02664909 maglogo: Y pubinfo: dt: Apr2019 vid: 35 iid: 2 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 135292585 135292585 135292585 10.1111/jcal.12326 135292585 ppf: 246 ppct: 10 formats: tig: atl: Relationship between perceived problem‐solving skills and academic performance of novice learners in introductory programming courses. aug: au: Veerasamy, Ashok Kumar D'Souza, Daryl Lindén, Rolf Laakso, Mikko‐Jussi affil: Department of Future Technologies, University of Turku, Turku Finland sug: subj: Programming Languages Education Students Psychosocial Factors Problem-Based Learning Problem Solving Academic Performance Human Summative Evaluation Research Formative Evaluation Research Learning Methods Learning Theory Social Constructionism Transferability Spearman's Rank Correlation Coefficient Correlational Studies Kruskal-Wallis Test Post Hoc Analysis Descriptive Statistics Algorithms Data Analysis Software Education, Non-Traditional Learning Environment Collaboration Computers and Computerization Questionnaires Summated Rating Scaling Coefficient alpha Psychometrics Internal Consistency Chi Square Test Multiple Linear Regression Funding Source ab: Past research has shown that student problem‐solving skills may be used to determine student final exam performance. This study reports on the relationship between student perceived problem‐solving skills and academic performance in introductory programming, in formative and summative programming assessment tasks. We found that the more effective problem solvers achieved better final exam scores. There was no significant difference in formative assessment performances between effective and poor problem solvers. It is also possible to categorize students on the basis of problem‐solving skills, in order to exploit opportunities to improve learning around constructivist learning theory. Finally, our study identified transferability skills and the study may be extended to identify the impact of problem solving transfer skills on student problem solving for programming. Lay Description: Literature review: Problem‐solving skill (PSS) is a required skill for all, including students to analyse and find effective solutions to solve problems.PSS can be a significant predictor for course grade and to identify student study habits and attitudes that important to academic performance.It seems PSS and learning programming are interrelated but however are not yet deeply examined or little research has been conducted around the impact of student general PSS on novice assessment performance in programming. Our findings: The outcome of the analysis reported in this study was derived from a range of statistical methods, including mean with confidence interval, correlation coefficient, Kruskal–Wallis and Bonferroni post hoc correction methods.There is a significant difference in student performance in summative assessment tasks with effective PSS and students with poor PSS. However, our research findings on relationship between PSS and formative assessment tasks led us to surmise that in general PSS may not be considered as a significant factor to predict student performance in formative assessment tasks, although this should be analysed further to support our conclusion.This study results suggest that students with poor PSS may have issues with problem‐solving transferable skills. In addition, students who lack PSS would see the problems as a threat or difficult task to solve and have low confidence in their problem‐solving capabilities. Implications for educational practice and/or policy: The findings reveal that it is quite possible to categorize students on the basis of PSS, in order to exploit opportunities to improve student learning on the basis of constructivist learning theory.Assessing student PSS levels may help instructors to develop instructional interventions to improve student academic self‐efficacy in learning programming. However, attention should be paid to instructional methodologies and formative assessments that are not aligned with summative assessments, in order to avoid the problem solving skills transferability shortcoming.In addition, teachers are expected to deliver teaching and learning activities and iterative formative feedback and guidance to support students to construct knowledge.However, the challenge for educators is to develop diverse assessment methods for introductory level courses to reduce the summative assessment performance gap between students with good and poor PSS. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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