{"title":"Skill hierarchy structure based skill assessment and learning paths","authors":"Dali Wang, Qingyuan Xu, Jinjin Li, Yongfan Zhu","doi":"10.1080/03081079.2023.2256462","DOIUrl":null,"url":null,"abstract":"AbstractInstructional assessment and learning paths are essential for improving students' learning effectiveness. This paper explores enhancing learners' learning efficiency and quality from the perspective of the correlation between skills. Firstly, the concept of the skill hierarchy structure and valid skill combination is introduced, followed introducted the method of constructing a question bank based on the skill hierarchy structure. Secondly, the skill hierarchy structure is utilized to induce skill context and provide the competence base for the skill context. Finally, the method for assessing the skills mastered by the learner is provided in the case of a known knowledge state of learners, and the learning paths diagram suitable for the learner's personalized situation is constructed. Experimental results demonstrate that the competence structure derived from the induced skill context based on skill hierarchy structure meets the requirements of being well-graded. Furthermore, the proposed methods in this paper facilitate learners in effectively mastering and applying learned skills, thereby establishing a solid foundation and improving their learning efficiency.KEYWORDS: Skill hierarchy structurevalid skill combinationskill contextcompetence baseskill assessmentlearning paths Disclosure statementNo potential conflict of interest was reported by the author(s).","PeriodicalId":50322,"journal":{"name":"International Journal of General Systems","volume":"82 1","pages":"0"},"PeriodicalIF":2.4000,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of General Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/03081079.2023.2256462","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
AbstractInstructional assessment and learning paths are essential for improving students' learning effectiveness. This paper explores enhancing learners' learning efficiency and quality from the perspective of the correlation between skills. Firstly, the concept of the skill hierarchy structure and valid skill combination is introduced, followed introducted the method of constructing a question bank based on the skill hierarchy structure. Secondly, the skill hierarchy structure is utilized to induce skill context and provide the competence base for the skill context. Finally, the method for assessing the skills mastered by the learner is provided in the case of a known knowledge state of learners, and the learning paths diagram suitable for the learner's personalized situation is constructed. Experimental results demonstrate that the competence structure derived from the induced skill context based on skill hierarchy structure meets the requirements of being well-graded. Furthermore, the proposed methods in this paper facilitate learners in effectively mastering and applying learned skills, thereby establishing a solid foundation and improving their learning efficiency.KEYWORDS: Skill hierarchy structurevalid skill combinationskill contextcompetence baseskill assessmentlearning paths Disclosure statementNo potential conflict of interest was reported by the author(s).
期刊介绍:
International Journal of General Systems is a periodical devoted primarily to the publication of original research contributions to system science, basic as well as applied. However, relevant survey articles, invited book reviews, bibliographies, and letters to the editor are also published.
The principal aim of the journal is to promote original systems ideas (concepts, principles, methods, theoretical or experimental results, etc.) that are broadly applicable to various kinds of systems. The term “general system” in the name of the journal is intended to indicate this aim–the orientation to systems ideas that have a general applicability. Typical subject areas covered by the journal include: uncertainty and randomness; fuzziness and imprecision; information; complexity; inductive and deductive reasoning about systems; learning; systems analysis and design; and theoretical as well as experimental knowledge regarding various categories of systems. Submitted research must be well presented and must clearly state the contribution and novelty. Manuscripts dealing with particular kinds of systems which lack general applicability across a broad range of systems should be sent to journals specializing in the respective topics.