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Balti, Rihab; Hedhili, Aroua; Chaari, Wided Lejouad; Abed, Mourad – Education and Information Technologies, 2023
Since the COVID pandemic, universities propose online education to ensure learning continuity. However, the insufficient preparation led to a major drop in the learner's performance and his/her dissatisfaction with the learning experience. This may be due to several reasons, including the insensitivity of the virtual learning environment to the…
Descriptors: Cognitive Style, Pandemics, COVID-19, Distance Education
Meyer, Katrina A.; Murrell, Vicki S. – Journal of Asynchronous Learning Networks, 2014
This article presents the results of a national study of 39 higher education institutions that collected information about their practices for faculty development for online teaching and particularly the content and training activities used during 2011-2012. This study found that the most frequently offered training content (97% of the…
Descriptors: Colleges, National Surveys, Faculty Development, Online Courses
Alaoutinen, Satu – Computer Science Education, 2012
This study evaluates a new taxonomy-based self-assessment scale and examines factors that affect assessment accuracy and course performance. The scale is based on Bloom's Revised Taxonomy and is evaluated by comparing students' self-assessment results with course performance in a programming course. Correlation has been used to reveal possible…
Descriptors: Advanced Students, Cognitive Style, Measures (Individuals), Program Effectiveness
Dobson, John L. – Advances in Physiology Education, 2010
Students have learning style preferences that are often classified according to their visual (V), aural (A), read-write (R), and/or kinesthetic (K) sensory modality preferences (SMP). The purposes of this investigation were to compare student perceived and assessed SMPs and examine the associations between those SMPs and status (i.e.,…
Descriptors: Cognitive Style, Classification, Undergraduate Students, Graduate Students
Uzunoz, Abdulkadir – Educational Research and Reviews, 2011
In this study, it is aimed to determine the effects of the "Multiple Intelligence Theory" on the retention and achievement of the students according to Bloom Taxonomy. This study is a research as an experimental model. Research in academic year of 2008/2009 in Foca Izmir Lesbos Reha Country High School 9 Class is conducted on students.…
Descriptors: Geography Instruction, Multiple Intelligences, Geography, Academic Achievement
Thomas, La' Toya – ProQuest LLC, 2010
Differentiated instruction is a way of teaching, which gives students multiple choices to learn information. Fourth grade teachers at one elementary school were not implementing the differentiated instructional techniques that would help them address the learning needs of their students. The purpose of this project study was to create a teacher…
Descriptors: Grade 4, Individualized Instruction, Achievement Gains, Social Change
Breckler, Jennifer; Joun, David; Ngo, Huy – Advances in Physiology Education, 2009
Student learning may be classified according to the sensory modalities by which one prefers to take in information. One such classification scheme uses the VARK instrument, which categorizes learning preferences as visual (V), auditory (A), reading-writing (R), or kinesthetic (K). Many students have a single, strong preferences…
Descriptors: Premedical Students, Cognitive Style, Health Occupations, Career Choice
Strang, Kenneth David – Intercultural Education, 2010
The study examined 2500 business degree students from 21 countries, enrolled at an Australian university, using a survey to assess learning style, which was integrated into a global culture taxonomy. The research hypothesis was that academic outcome could be explained through an interdisciplinary model, by integrating proven theories from…
Descriptors: Cognitive Style, Educational Psychology, Anthropology, Least Squares Statistics
Kappe, F. R.; Boekholt, L.; den Rooyen, C.; Van der Flier, H. – Learning and Individual Differences, 2009
Multiple and specific learning criteria were used to examine the predictive validity of the Learning Style Questionnaire (LSQ). Ninety-nine students in a college of higher learning in The Netherlands participated in a naturally occurring field study. The students were categorized into one of four LSQ dimensions, namely, Activists, Theorists,…
Descriptors: Cognitive Style, Academic Achievement, Predictive Validity, Criteria
Gravenhorst, Robynne M. – Journal of Dance Education, 2007
This study examines the interaction between learning styles and academic performance in an anatomy course that blends traditional lecture with an array of hands-on activities. Participants were 19 students (ranging from 18 to 24 years of age) at Columbia College, Chicago. The Felder-Silverman Index of Learning Styles and a 25-item pre-test and…
Descriptors: College Students, Academic Achievement, Anatomy, Correlation
Peer reviewedSnow, Jeffrey H. – Journal of Learning Disabilities, 1992
Assessment of 60 children (ages 9-15) with learning disabilities resulted in a group with relatively intact visual planning and mental flexibility skills and a group clearly dysfunctional in these areas. Comparison of the two subtypes on measures of academic skills, visual memory, visual-motor integration, and motor speed indicated significant…
Descriptors: Academic Achievement, Classification, Cognitive Style, Comparative Analysis
Peer reviewedBarba, Robertta H.; Merchant, Linda J. – Journal of Computers in Mathematics and Science Teaching, 1990
Discussed is whether embedding generative cognitive strategies in microcomputer courseware improves student performance on cognitive assessment measures and on insect classification tasks. The effects of transactional software on students' knowledge of insect anatomy and principles of insect classification were also investigated. (KR)
Descriptors: Academic Achievement, Biology, Classification, Cognitive Development
Thomas, John W. – 1985
Self-directed, or independent study activities were studied in adolescents, as well as their antecedents and consequences. The interrelationships, across age and grade, of several variables were described; i.e.: course requirements and conditions, student characteristics, study activities, and school achievement. First, autonomous learning…
Descriptors: Academic Achievement, Age Differences, Aptitude Treatment Interaction, Classification
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers

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