NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 7 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Taniguchi, Yuta; Okubo, Fumiya; Shimada, Atsushi; Konomi, Shin'ichi – International Association for Development of the Information Society, 2017
Students' journal writings could be useful resources for teachers to grasp their understandings and to see their own teaching objectively. However, reading a large number of journals thoroughly is not always realistic for teachers. Although various automatic analysis methods have been proposed to understand learning journals, they does not…
Descriptors: Student Journals, Journal Writing, Electronic Publishing, Computer Managed Instruction
Peer reviewed Peer reviewed
Direct linkDirect link
Abdous, M'hammed; He, Wu; Yen, Cherng-Jyh – Educational Technology & Society, 2012
As higher education diversifies its delivery modes, our ability to use the predictive and analytical power of educational data mining (EDM) to understand students' learning experiences is a critical step forward. The adoption of EDM by higher education as an analytical and decision making tool is offering new opportunities to exploit the untapped…
Descriptors: Electronic Learning, Online Courses, Video Technology, Synchronous Communication
Peer reviewed Peer reviewed
Direct linkDirect link
Kim, Minjeong; Lee, Eunchul – Educational Technology & Society, 2012
This study proposes and verifies the performance of an analysis tool for visualizing online interactions. A review of the most widely used methods for analyzing online interactions, including quantitative analysis, content analysis, and social network analysis methods, indicates these analysis methods have some limitations resulting from their…
Descriptors: Foreign Countries, Computer Uses in Education, Interaction, Content Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Hung, Jui-Long; Hsu, Yu-Chang; Rice, Kerry – Educational Technology & Society, 2012
This study investigated an innovative approach of program evaluation through analyses of student learning logs, demographic data, and end-of-course evaluation surveys in an online K-12 supplemental program. The results support the development of a program evaluation model for decision making on teaching and learning at the K-12 level. A case study…
Descriptors: Web Based Instruction, Databases, Virtual Classrooms, Decision Support Systems
Cetintas, Suleyman; Si, Luo; Xin, Yan Ping; Hord, Casey – International Working Group on Educational Data Mining, 2009
This paper proposes a learning based method that can automatically determine how likely a student is to give a correct answer to a problem in an intelligent tutoring system. Only log files that record students' actions with the system are used to train the model, therefore the modeling process doesn't require expert knowledge for identifying…
Descriptors: Programming, Evidence, Intelligent Tutoring Systems, Regression (Statistics)
Zafra, Amelia; Ventura, Sebastian – International Working Group on Educational Data Mining, 2009
The ability to predict a student's performance could be useful in a great number of different ways associated with university-level learning. In this paper, a grammar guided genetic programming algorithm, G3P-MI, has been applied to predict if the student will fail or pass a certain course and identifies activities to promote learning in a…
Descriptors: Foreign Countries, Programming, Academic Achievement, Grades (Scholastic)
Chang, Chih-Kai; Chen, Gwo-Dong; Liu, Baw-Jhiune; Ou, Kou-Liang – 1998
As learners use World Wide Web-based distance learning systems over a period of years, large amounts of learning logs are generated. An instructor needs analysis tools to manage the logs and discover unusual patterns within them to improve instruction. However, logs of a Web server cannot serve as learners' portfolios to satisfy the requirements…
Descriptors: Computer Assisted Instruction, Computer Managed Instruction, Computer Mediated Communication, Computer System Design