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Lee, Jeong-Sook; Kim, Sung-Wan – Journal of Educational Computing Research, 2015
The purpose of this study is to develop and validate an evaluation tool of educational apps for smart education. Based on literature reviews, a potential model for evaluating educational apps was suggested. An evaluation tool consisting of 57 survey items was delivered to 156 students in middle and high schools. An exploratory factor analysis was…
Descriptors: Educational Technology, Courseware, Computer Software Evaluation, Test Construction
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Ireri, Bonface Ngari; Omwenga, Elijah I. – Journal of Education and Practice, 2015
Due to the affordability, ease of use and availability of mobile devices, many people in Africa and developing countries have acquired at least a mobile device. The penetration of mobile devices places many learning institution in a position to adopt mobile learning, however there are few tools for measuring mobile learning readiness for an…
Descriptors: Learning Readiness, Handheld Devices, Outcome Measures, Benchmarking
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Ardies, Jan; De Maeyer, Sven; Gijbels, David – Design and Technology Education, 2013
In knowledge based economies technological literacy is gaining interest. Technological literacy correlates with attitude towards technology. When measuring technological literacy as an outcome of education, the attitudinal dimension has to be taken into account. This requires a valid, reliable instrument that should be as concise as possible, in…
Descriptors: Factor Analysis, Educational Technology, Technological Literacy, Technology Education
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Loorbach, Nicole; Peters, Oscar; Karreman, Joyce; Steehouder, Michaël – British Journal of Educational Technology, 2015
The ARCS Model of Motivational Design has been used myriad times to design motivational instructions that focus on attention, relevance, confidence and satisfaction in order to motivate students. The Instructional Materials Motivation Survey (IMMS) is a 36-item situational measure of people's reactions to instructional materials in the light…
Descriptors: Instructional Materials, Program Validation, Independent Study, Technology Uses in Education
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Clem, Jamie M.; Mennicke, Annelise M.; Beasley, Christina – Journal of Social Work Education, 2014
Experiential learning is recommended as a way to increase critical thinking and engagement, enhance theory-informed practice, increase preparedness, and improve multicultural understanding for students involved in social work education. The purpose of this study is to validate the Experiential Learning Survey (ELS), which measures students'…
Descriptors: Experiential Learning, Psychometrics, Test Construction, Program Validation
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Bitz, Kristi – NACADA Journal, 2010
In this article, I report on the development and validation of a new survey instrument measuring first-year students' perceptions of the advising relationship. I collected survey data from 113 residential freshmen enrolled in a first-year seminar course at a small, public, midwestern university during the fall of 2009. Factor analysis of students'…
Descriptors: First Year Seminars, Student Attitudes, Factor Analysis, Program Validation
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Velayutham, Sunitadevi; Aldridge, Jill; Fraser, Barry – International Journal of Science Education, 2011
Students' motivational beliefs and self-regulatory practices have been identified as instrumental in influencing the engagement of students in the learning process. An important aim of science education is to empower students by nurturing the belief that they can succeed in science learning and to cultivate the adaptive learning strategies…
Descriptors: Learning Strategies, Construct Validity, Grade 8, Science Education