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Sözen, Erol; Güven, Ufuk – International Education Studies, 2019
The improvements in technology made technology tools invade almost every field, including education. Online assessment tools have various functions for students and teachers. Students are able to use their mobile devices in the classroom, while teachers are able to use the tools for formative and summative evaluation purposes and for getting to…
Descriptors: Geography Instruction, Student Attitudes, Undergraduate Students, Computer Assisted Testing
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Bulent, Basaran; Murat, Yalman; Selahattin, Gonen – Educational Research and Reviews, 2016
Today, the spread of Internet use has accelerated the development of educational technologies and increased the quality of education by encouraging teachers' cooperation and participation. As a result, examinations executed via the Internet have become common, and a number of universities have started using distant education management system.…
Descriptors: Attitude Measures, Computer Assisted Testing, Test Reliability, Test Validity
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Laborda, Jesús García; Royo, Teresa Magal – Research-publishing.net, 2016
Online testing is becoming a popular way to deliver language tests, partly because of its reduced cost, partly because of the high quality of test data collection. In language tests, interface validation has received a limited attention in professional literature (García, Magal, da Rocha, & Fernández, 2010). This paper will show the validation…
Descriptors: Handheld Devices, Technology Uses in Education, Educational Technology, Computer Software
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DePaolo, Concetta A.; Wilkinson, Kelly – Interdisciplinary Journal of E-Learning and Learning Objects, 2014
We present the idea of recurrent, in-class online quizzes as an effective and efficient way to promote student attendance (presence), engagement (participation) and to provide formative assessment (to enhance performance) within a face-to-face course. Quizzes during each class meeting encourage students to attend class regularly and participate…
Descriptors: Tests, Student Evaluation, Attendance, Student Participation
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George, Michael; Khazanov, Leonid; McCarthy, Chris – Community College Journal of Research and Practice, 2015
Remedial mathematics at the college level has evidenced strikingly low retention and passing rates. It has been shown that at least 25% of the variation in student performance is explained by students' affective variables such as attitudes, study skills, and mathematics anxiety. This study endeavored to address affective variables by: (a)…
Descriptors: Peer Teaching, Coaching (Performance), At Risk Students, Remedial Mathematics
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Slee, Phillip T.; Mohyla, Jury – Journal of Educational Computing Research, 2014
School bullying is an international problem with harmful outcomes for those involved. This study describes the design and field testing of an innovative computer-based social learning tool for assessing student perceptions of bullying developed for an Australian intervention program called the P.E.A.C.E. Pack. Students rate their peer group…
Descriptors: Bullying, Peer Relationship, Social Development, Intervention
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Kordts-Freudinger, Robert; Geithner, Eva – Educational Research and Evaluation, 2013
This article investigates if online evaluation leads to different results than paper-and-pencil evaluation. Given that most previous studies confound the evaluation mode (online versus paper) with the evaluation situation (in class versus after class), we expected that evaluation results would be influenced only by the evaluation situation,…
Descriptors: Computer Assisted Testing, Evaluation Methods, Evaluation Research, College Faculty
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Grove, Nathaniel; Bretz, Stacey Lowery – Journal of Chemical Education, 2007
Many researchers have investigated the effects of students' prior knowledge upon learning chemistry, for example, the tenacity of alternative conceptions. Knowledge about learning also shapes students' learning of chemistry. This research describes the development of CHEMX, a survey instrument that measures an aspect of knowledge about learning…
Descriptors: Majors (Students), Prior Learning, Chemistry, Expectation