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Avsec, Stanislav; Szewczyk-Zakrzewska, Agnieszka – International Journal of Technology and Design Education, 2017
This paper aims to investigate the predictive validity of learning styles on academic achievement and technological literacy (TL). For this purpose, secondary school students were recruited (n = 150). An empirical research design was followed where the TL test was used with a learning style inventory measuring learning orientation, processing…
Descriptors: Predictor Variables, Academic Achievement, Technological Literacy, Secondary School Students
Philominraj, Andrew; Jeyabalan, David; Vidal-Silva, Christian – English Language Teaching, 2017
This article presents an empirical study carried out among the students of higher secondary schools to find out how English language learning occurs naturally in an environment where learners are encouraged by an appropriate method such as visual learning. The primary data was collected from 504 students with different pretested questionnaires. A…
Descriptors: Visual Learning, English (Second Language), Second Language Instruction, Secondary School Students
Danisman, Sahin; Erginer, Ergin – Cogent Education, 2017
The purpose of this study was to examine fifth graders' mathematical reasoning and spatial ability, to identify a correlation with their learning styles, and to determine the predictive power of their learning styles on their mathematical learning profiles. This causal study was conducted with 97 fifth graders (60 females, 61.9% and 37 males,…
Descriptors: Predictor Variables, Grade 5, Cognitive Style, Mathematical Logic
Hobbs, D. J. – Programmed Learning and Educational Technology, 1987
Description of a study which formulated a model of the cognitive processes involved in learning statistics material via computer assisted learning (CAL) focuses on mode of presentation (aural or visual), sequence of the material, and previous mathematical experience. Textual analysis is discussed and implications of the results for design of CAL…
Descriptors: Analysis of Variance, Aural Learning, Cognitive Processes, Computer Assisted Instruction