Literaturnachweis - Detailanzeige
Autor/inn/en | Hooshyar, D.; Ahmad, R. B.; Yousefi, M.; Yusop, F. D.; Horng, S.-J. |
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Titel | A Flowchart-Based Intelligent Tutoring System for Improving Problem-Solving Skills of Novice Programmers |
Quelle | In: Journal of Computer Assisted Learning, 31 (2015) 4, S.345-361 (17 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 0266-4909 |
DOI | 10.1111/jcal.12099 |
Schlagwörter | Flow Charts; Intelligent Tutoring Systems; Educational Technology; Teaching Methods; Problem Solving; Programming; Networks; Skill Development; Quasiexperimental Design; Comparative Analysis; Experimental Groups; Control Groups; Prior Learning |
Abstract | Intelligent tutoring and personalization are considered as the two most important factors in the research of learning systems and environments. An effective tool that can be used to improve problem-solving ability is an Intelligent Tutoring System which is capable of mimicking a human tutor's actions in implementing a one-to-one personalized and adaptive teaching. In this paper, a novel Flowchart-based Intelligent Tutoring System (FITS) is proposed benefiting from Bayesian networks for the process of decision making so as to aid students in problem-solving activities and learning computer programming. FITS not only takes full advantage of Bayesian networks, but also benefits from a multi-agent system using an automatic text-to-flowchart conversion approach for engaging novice programmers in flowchart development with the aim of improving their problem-solving skills. In the end, in order to investigate the efficacy of FITS in problem-solving ability acquisition, a quasi-experimental design was adopted by this research. According to the results, students in the FITS group experienced better improvement in their problem-solving abilities than those in the control group. Moreover, with regard to the improvement of a user's problem-solving ability, FITS has shown to be considerably effective for students with different levels of prior knowledge, especially for those with a lower level of prior knowledge. (As Provided). |
Anmerkungen | Wiley-Blackwell. 350 Main Street, Malden, MA 02148. Tel: 800-835-6770; Tel: 781-388-8598; Fax: 781-388-8232; e-mail: cs-journals@wiley.com; Web site: http://www.wiley.com/WileyCDA |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2020/1/01 |