A flowchart-based intelligent tutoring system for improving problem-solving skills of novice programmers.
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 action...
| Publicado en: | Journal of Computer Assisted Learning Vol. 31; no. 4; pp. 345 - 362 |
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| Autores principales: | , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Aug2015
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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=109824234&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 109824234 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02664909 6M1 jtl: Journal of Computer Assisted Learning issn: 02664909 maglogo: Y pubinfo: dt: Aug2015 vid: 31 iid: 4 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 109824234 108376662 10.1111/jcal.12099 109824234 ppf: 345 ppct: 17 formats: tig: atl: A flowchart-based intelligent tutoring system for improving problem-solving skills of novice programmers. aug: au: Hooshyar, D. Ahmad, R.B. Yousefi, M. Yusop, F.D. Horng, S.-J. affil: Department of Software Engineering, Faculty of Computer Science and Information Technology, University of Malaya sug: subj: Problem Solving Education Software Design Artificial Intelligence Utilization Learning Methods Quasi-Experimental Studies Systems Design Computer Communication Networks Student Knowledge Students, Undergraduate Colleges and Universities Malaysia Malaysia Human Female Male Descriptive Statistics Data Analysis Software P-Value Summative Evaluation Research Pretest-Posttest Design Analysis of Variance Female Male ab: 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. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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