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Susanto, Edy; Sasongko, Rambat Nur; Kristiawan, Muhammad; Nipriansyah; Purdiyanto – Education Quarterly Reviews, 2021
The purpose of this study was to connect the learning school of computer education students at Dehasen University Bengkulu in using google class. This type of research is descriptive qualitative. Respondents' answers using the google form application. Data were analyzed by stages of reduction, display and conclusion drawing or verification. The…
Descriptors: Foreign Countries, Computer Science Education, Virtual Classrooms, COVID-19
Tiernan, Peter; Farren, Margaret – Education and Information Technologies, 2017
This paper investigates how to enable undergraduate students' use of online video for coursework using a customised video retrieval system (VRS), in order to understand digital literacy with online video in practice. This study examines the key areas influencing the use of online video for assignments such as the learning value of video,…
Descriptors: Technological Literacy, Video Technology, Content Analysis, Assignments
Ondrusek, Anita L.; Ren, Xiaoai; Yang, Changwoo – Journal of Education for Library and Information Science, 2017
Online searching is a skill that all professional programs educating librarians consider an essential part of their curricula. However, investigations of online searching behavior have centered almost exclusively on end users, and there have been no recent formal studies that explore the online searching behaviors of MLIS students. In this study,…
Descriptors: Content Analysis, Learning Strategies, Masters Programs, Graduate Students
Bartolo, Laura M.; And Others – 1991
This study investigated the benefits of online research methods over manual methods for novice researchers. It was hypothesized that novice researchers who conduct online searches submit better research projects than those who use manual methods. Undergraduate students in two classes of a journalism course on "Law and Mass…
Descriptors: Assignments, College Libraries, College Students, Court Litigation
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)