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Jiménez-Castillo, David; Sánchez-Fernández, Raquel; Marín-Carrillo, Gema M. – Innovations in Education and Teaching International, 2017
This study explores the effectiveness of the sequential use of lectures and video podcasting in higher education. Drawing together several theories, this paper examines the influence of student's perceived prior knowledge gained from lectures and technology acceptance model-related variables on student's self-reported assimilation of new material…
Descriptors: Higher Education, Technology Uses in Education, Teaching Methods, Multimedia Materials
Peer reviewedChu, P. C.; Spires, Eric E. – Computers in Human Behavior, 1991
Describes study that tested the validity of the Computer Anxiety Rating Scale (CARS) with MBA students. Demographic traits and cognitive styles are considered, the effect of computer courses on computer anxiety is studied, and factor analysis is used to assess the construct validity of the CARS. (24 references) (LRW)
Descriptors: Cognitive Style, Computer Literacy, Factor Analysis, Graduate Students
Peer reviewedOnwuegbuzie, Anthony J.; Bailey, Phillip; Daley, Christine – Applied Psycholinguistics, 1999
Examined factors that predict foreign-language anxiety. Subjects included 10 university students; a setwise multiple regression analysis revealed that seven variables (age, academic achievement, prior history of visiting foreign countries, prior high school experience with foreign languages, expected overall age for current language course,…
Descriptors: Academic Achievement, Age, College Students, Communication Apprehension
Peer reviewedMadura, Patrice Dawn – Journal of Research in Music Education, 1996
Reports on a study that examined the nature of vocal jazz improvisation and the factors that influence achievement in improvisation. Participating subjects performed two jazz improvisation tasks that were measured for tonal, rhythmic, and expressive items. Correlating independent variables included jazz theory knowledge, jazz experience, and…
Descriptors: Applied Music, College Students, Correlation, Creativity
Peer reviewedHarrison, Carole S. – Journal of Research in Music Education, 1996
Utilizes multiple regression analysis to examine the relative contributions of measures of musical aptitude, music experience, and gender in predicting grades in a music theory course for non-music majors. Results suggest that performance experience is the only statistically significant grade predictor for this group. (MJP)
Descriptors: Academic Achievement, Factor Analysis, Grade Prediction, Grades (Scholastic)

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