文章基本信息

标题：DEVELOPMENT OF ALKIN MODEL INSTRUMENTS AS EVALUATION TOOLS OF BLENDED LEARNING IMPLEMENTATION IN DISCRETE MATHEMATICS COURSE ON STIKOM BALI
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作者：GUSTI AYU DESSY SUGIHARNI ; NI WAYAN SETIASIH ; I WAYAN EKA MAHENDRA 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2018
卷号：96
期号：17
出版社：Journal of Theoretical and Applied
摘要：This study was conducted with the main purpose of obtaining in-depth information about the validity and reliability of Alkin model instruments used to evaluate the effectiveness of blended learning in Discrete Mathematics courses on STIKOM Bali. The approach of this study was instrument development research, with five steps: 1) definition of variables, 2) translation variables into indicators, 3) arrangement of instrument�s item, 4) test of instrument, and 5) validity and reliability analysis of instruments. Subjects involved in this study, such as: an expert in informatics engineering education and experts in evaluation education involved in testing the validity of instrument contents, and as many as 50 students who were involved to be respondents to fill out the test result instrument of content validation by experts, so it can be obtained the instrument validity and reliability instruments. The tools used in data collection are questionnaires that have not been tested and photos documentation. The technique used to analyze the validity of the instruments contents using Gregory formula, while the technique used to analyze the validity of instrument items using correlation formula Pearson-product moment, Techniques used to analyze the instrument�s reliability using the formula of Cronbach Alpha coefficient. The results of this study indicate the content validity and the instrument�s reliability belonging to excellence criteria. Also, from the validation of instrument items obtained 52 instrument items that remain used because it�s valid and three instrument items are discarded because it�s not valid.
关键词：Instruments; Alkin Model; Evaluation; Blended Learning; Discrete Mathematics