Jinwen Liu, Xiangdong Chen, Bin He, Ting-ting Zhang
{"title":"An Enhanced Intelligent Teaching Support System for College Courses","authors":"Jinwen Liu, Xiangdong Chen, Bin He, Ting-ting Zhang","doi":"10.1109/TALE52509.2021.9678725","DOIUrl":null,"url":null,"abstract":"This paper proposes an enhanced intelligent teaching support system (e-ITSS) to support efficient courseware preparing and personalized learning. The proposed e-ITSS consists of three main modules of teaching material service (TMS), dynamic symbols pad service (dSPS), and assignment management service (AMS). A courseware generation tool is integrated into the TMS module, which can generate rough coursewares from inputs such as textbooks. The dSPS module, built on an intelligent data mining algorithm, provides dynamic solution-related symbols that are structured with a hierarchical layout to benefit symbol input. Moreover, an auto-grading tool is provided for automatic solution correction in the AMS module, which empowers the system's capacity of instant feedback of subjective problems to students, with hints and suggestions. In addition, conventional modules, such as knowledge diagnosis, exercise recommendations, are also available in the proposed system.","PeriodicalId":186195,"journal":{"name":"2021 IEEE International Conference on Engineering, Technology & Education (TALE)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Conference on Engineering, Technology & Education (TALE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TALE52509.2021.9678725","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper proposes an enhanced intelligent teaching support system (e-ITSS) to support efficient courseware preparing and personalized learning. The proposed e-ITSS consists of three main modules of teaching material service (TMS), dynamic symbols pad service (dSPS), and assignment management service (AMS). A courseware generation tool is integrated into the TMS module, which can generate rough coursewares from inputs such as textbooks. The dSPS module, built on an intelligent data mining algorithm, provides dynamic solution-related symbols that are structured with a hierarchical layout to benefit symbol input. Moreover, an auto-grading tool is provided for automatic solution correction in the AMS module, which empowers the system's capacity of instant feedback of subjective problems to students, with hints and suggestions. In addition, conventional modules, such as knowledge diagnosis, exercise recommendations, are also available in the proposed system.