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Khamparia, Aditya; Pandey, Babita – International Journal of Web-Based Learning and Teaching Technologies, 2018
E-learning and online education has made great improvements in the recent past. It has shifted the teaching paradigm from conventional classroom learning to dynamic web based learning. Due to this, a dynamic learning material has been delivered to learners, instead ofstatic content, according to their skills, needs and preferences. In this…
Descriptors: Classification, Electronic Learning, Online Courses, Anxiety
Celik, Vehbi; Yesilyurt, Etem – Computers & Education, 2013
There is a large body of research regarding computer supported education, perceptions of computer self-efficacy, computer anxiety and the technological attitudes of teachers and teacher candidates. However, no study has been conducted on the correlation between and effect of computer supported education, perceived computer self-efficacy, computer…
Descriptors: Computer Attitudes, Educational Technology, Self Efficacy, Anxiety
Kiliç, Deniz Beste Çevik – Educational Research and Reviews, 2015
This study aims to examine the computer anxiety and self-efficacy of music teachers in terms of different variables. The research is implemented on 124 music teachers. A personal information form and scales of Computer Anxiety and Self Efficacy are implemented on 124 music teachers. Data are analyzed with one way analysis of variance (ANOVA) and…
Descriptors: Music Teachers, Music Education, Anxiety, Self Efficacy
Agaoglu, Esmahan; Ceyhan, Esra; Ceyhan, Aykut; Simsek, Yucel – Online Submission, 2008
This study aims at investigating the validity and reliability studies of the "Computer Anxiety Scale" (Ceyhan & Gurcan Namlu, 2000) on educational administrators. The data gathered from 143 educational administrators of state schools located in Eskisehir show that the scale consists of 2 factors. The first of these factors, affective…
Descriptors: State Schools, Computer Attitudes, Validity, Measures (Individuals)
Pilotte, William J.; Gable, Robert K. – 1989
Confirmatory factor analysis (LISREL VI) is the method best suited to the comparison of measurement models when those models are based on a priori assumptions. Traditionally, positive and negative item stems were mixed on affective scales to reduce response set bias since the item pairs were considered to be parallel. Recent studies indicate that…
Descriptors: Affective Measures, Computer Science Education, Error of Measurement, Factor Analysis

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