{"title":"A Content Analysis of Journal Publication on Gesture-Based Computing in Education","authors":"Feng-Ru Sheu, Wei-Chieh Fang, N. Chen","doi":"10.1109/ICALT.2013.9","DOIUrl":null,"url":null,"abstract":"This study used content analysis to explore characteristics and trends of research on gesture-based computing in education based on journal articles from 2001-2012. This study revealed the distribution and trends in research methods, discipline of the study, learning content, technology used and intended setting of the gesture-based learning system. Experimental design research is the most used method (50%) followed by design-based research (30.8%). The findings indicate that Nintendo Wii is the most used gesture-based device (44%). The largest percentage of the domain is in special education (40%). The same trend is also found in a further analysis that the largest percentage of domain using Wii is special education (70%). Among all identified learning topics, motor skill learning has the highest percentage (20%). When grouping these topics into three domains of knowledge (procedural, conceptual, and both), the result demonstrates that procedural type knowledge dominates gesture-based learning studies. Not surprisingly, data shows the highest percentage of intended setting is classroom setting.","PeriodicalId":301310,"journal":{"name":"2013 IEEE 13th International Conference on Advanced Learning Technologies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE 13th International Conference on Advanced Learning Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICALT.2013.9","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
This study used content analysis to explore characteristics and trends of research on gesture-based computing in education based on journal articles from 2001-2012. This study revealed the distribution and trends in research methods, discipline of the study, learning content, technology used and intended setting of the gesture-based learning system. Experimental design research is the most used method (50%) followed by design-based research (30.8%). The findings indicate that Nintendo Wii is the most used gesture-based device (44%). The largest percentage of the domain is in special education (40%). The same trend is also found in a further analysis that the largest percentage of domain using Wii is special education (70%). Among all identified learning topics, motor skill learning has the highest percentage (20%). When grouping these topics into three domains of knowledge (procedural, conceptual, and both), the result demonstrates that procedural type knowledge dominates gesture-based learning studies. Not surprisingly, data shows the highest percentage of intended setting is classroom setting.