{"title":"Voluntary participation in discussion forums as an engagement indicator: an empirical study of teaching first-year programming","authors":"Ritu Sharma, Haifeng Shen, R. Goodwin","doi":"10.1145/3010915.3010967","DOIUrl":null,"url":null,"abstract":"Computer programming is a required skill for most STEM (Science, Technology, Engineering and Mathematics) students. However, teaching novices programming has long been considered a big challenge by computer science educators as manifested by the observation that first-year programming topics tend to have a higher failure rate than other first-year topics. Existing studies have discovered that lack of engagement in learning programming is a key determinant of a student's poor performance. Therefore, it is beneficial to perceive a student's lack of engagement so that appropriate actions can be taken ahead of time. However, first year topics especially programming topics usually have very large enrolments, making it hard for a lecturer to keep track of each individual student's engagement level. As learning management systems (LMS) have been widely adopted by universities, in this paper we suggest using a student's voluntary participation in a programming topic's discussion forum provided by LMS as an engagement indicator so that the lecturer can constantly monitor and re-engage those who present low or no engagement. This recommendation is based on an empirical study of a first-year programming topic that reveals a positive correlation between one's voluntary participation in peer interaction through the topic's discussion forum and one's learning outcome in the topic.","PeriodicalId":309823,"journal":{"name":"Proceedings of the 28th Australian Conference on Computer-Human Interaction","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 28th Australian Conference on Computer-Human Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3010915.3010967","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Computer programming is a required skill for most STEM (Science, Technology, Engineering and Mathematics) students. However, teaching novices programming has long been considered a big challenge by computer science educators as manifested by the observation that first-year programming topics tend to have a higher failure rate than other first-year topics. Existing studies have discovered that lack of engagement in learning programming is a key determinant of a student's poor performance. Therefore, it is beneficial to perceive a student's lack of engagement so that appropriate actions can be taken ahead of time. However, first year topics especially programming topics usually have very large enrolments, making it hard for a lecturer to keep track of each individual student's engagement level. As learning management systems (LMS) have been widely adopted by universities, in this paper we suggest using a student's voluntary participation in a programming topic's discussion forum provided by LMS as an engagement indicator so that the lecturer can constantly monitor and re-engage those who present low or no engagement. This recommendation is based on an empirical study of a first-year programming topic that reveals a positive correlation between one's voluntary participation in peer interaction through the topic's discussion forum and one's learning outcome in the topic.