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Salele, Nafiu; Khan, Md. Shahadat Hossain – SAGE Open, 2022
The current study examined the trainee teachers' attitudes toward technology adoption and use in tertiary "engineering education." The Computer Attitude Scale (CAS) was extended by including the social influence component, to examine whether social norms affect the acceptance of technology by teachers. Findings from 110 trainee-teachers…
Descriptors: Engineering Education, Student Teachers, Technology Integration, Attitude Measures
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Silvestri, Robert; Holmes, Alana; Rahemtulla, Rafiq – Journal of Special Education Technology, 2022
This study utilized the Simple View of Reading (SVR) model cognitive subtypes to determine the impact of text-to-speech (TTS) software on the reading comprehension of 94 grade 8 students with reading difficulties. Method: paired samples t tests for all four SVR groups were conducted to examine reading comprehension scores under TTS and no-TTS…
Descriptors: Grade 8, Foreign Countries, Reading Difficulties, Reading Comprehension
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Toroujeni, Seyyed Morteza Hashemi – Education and Information Technologies, 2022
Score interchangeability of Computerized Fixed-Length Linear Testing (henceforth CFLT) and Paper-and-Pencil-Based Testing (henceforth PPBT) has become a controversial issue over the last decade when technology has meaningfully restructured methods of the educational assessment. Given this controversy, various testing guidelines published on…
Descriptors: Computer Assisted Testing, Reading Tests, Reading Comprehension, Scoring
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Ranjan, Prabhas – Journal of Learning for Development, 2020
Blended learning is a newly emerging area of research and practice in educational institutions. It is defined as a useful and reasonable combination of online and face-to-face learning and is acclaimed as a successful mode of teaching. The recent growth of online education, which is without classroom interaction, in a developing country like India…
Descriptors: Blended Learning, Electronic Learning, Instructional Effectiveness, Undergraduate Students
Binkley, Zachary Wayne McClellan – ProQuest LLC, 2017
This study investigates computer self-efficacy and computer anxiety within 61 students across two academic majors, Aviation and Sports and Exercise Science, while investigating the impact residential status, age, and gender has on those two psychological constructs. The purpose of the study is to find if computer self-efficacy and computer anxiety…
Descriptors: Computer Attitudes, Anxiety, Self Efficacy, Majors (Students)
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Larbi-Apau, Josephine; Oti-Boadi, Mabel; Tetteh, Albert – International Journal on E-Learning, 2018
Both computer attitude and eLearning self-efficacy are critical complementary factors in determining confidence levels and behavioral belief systems, and can directly affect students' actions, performances and achievements. This study applied a multidimensional construct in validating computer attitude and eLearning self-efficacy of Psychology…
Descriptors: Computer Attitudes, Electronic Learning, Self Efficacy, Undergraduate Students