{"title":"如何预测学生的作弊行为?在线课程和面对面课程的跨文化比较","authors":"Y. Eshet, Y. Peled, K. Grinautski, C. Barczyk","doi":"10.33965/celda2019_201911l004","DOIUrl":null,"url":null,"abstract":"Many researchers have dwelled on the phenomenon of academic dishonesty (AD) or unethical behaviors within the academic environment. While this phenomenon can be explained by various factors, the current study investigates and presents a new structural model for determinants of AD. The predictors of AD that were found in the context of traditional and distance-learning courses in higher education are types of motivation, students' attitudes, personality traits, and cultural backgrounds (presented by country according to Hofstede's cultural dimensions theory). This study was conducted using a survey method of 2,357 students studying in six different academic institutes. Using structural equation modeling (SEM) the results indicate that the surveyed students tend to engage less in AD in online courses than in face-to-face courses. This notion is contrary to the traditional views and the research literature, therefore, having important practical implications for educators, institution and researchers dealing with course design development and institutional policy concerning pedagogical uses of digital technology.","PeriodicalId":385382,"journal":{"name":"Proceedings of the 16th International Conference on Cognition and Exploratory Learning in Digital Age (CELDA 2019)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"WHAT PREDICTS CHEATING AMONG STUDENTS? A CROSS CULTURAL COMPARISON BETWEEN ONLINE AND FACE-TO-FACE COURSES\",\"authors\":\"Y. Eshet, Y. Peled, K. Grinautski, C. Barczyk\",\"doi\":\"10.33965/celda2019_201911l004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Many researchers have dwelled on the phenomenon of academic dishonesty (AD) or unethical behaviors within the academic environment. While this phenomenon can be explained by various factors, the current study investigates and presents a new structural model for determinants of AD. The predictors of AD that were found in the context of traditional and distance-learning courses in higher education are types of motivation, students' attitudes, personality traits, and cultural backgrounds (presented by country according to Hofstede's cultural dimensions theory). This study was conducted using a survey method of 2,357 students studying in six different academic institutes. Using structural equation modeling (SEM) the results indicate that the surveyed students tend to engage less in AD in online courses than in face-to-face courses. This notion is contrary to the traditional views and the research literature, therefore, having important practical implications for educators, institution and researchers dealing with course design development and institutional policy concerning pedagogical uses of digital technology.\",\"PeriodicalId\":385382,\"journal\":{\"name\":\"Proceedings of the 16th International Conference on Cognition and Exploratory Learning in Digital Age (CELDA 2019)\",\"volume\":\"63 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 16th International Conference on Cognition and Exploratory Learning in Digital Age (CELDA 2019)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33965/celda2019_201911l004\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 16th International Conference on Cognition and Exploratory Learning in Digital Age (CELDA 2019)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33965/celda2019_201911l004","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
WHAT PREDICTS CHEATING AMONG STUDENTS? A CROSS CULTURAL COMPARISON BETWEEN ONLINE AND FACE-TO-FACE COURSES
Many researchers have dwelled on the phenomenon of academic dishonesty (AD) or unethical behaviors within the academic environment. While this phenomenon can be explained by various factors, the current study investigates and presents a new structural model for determinants of AD. The predictors of AD that were found in the context of traditional and distance-learning courses in higher education are types of motivation, students' attitudes, personality traits, and cultural backgrounds (presented by country according to Hofstede's cultural dimensions theory). This study was conducted using a survey method of 2,357 students studying in six different academic institutes. Using structural equation modeling (SEM) the results indicate that the surveyed students tend to engage less in AD in online courses than in face-to-face courses. This notion is contrary to the traditional views and the research literature, therefore, having important practical implications for educators, institution and researchers dealing with course design development and institutional policy concerning pedagogical uses of digital technology.