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Timisina, Prem Prasad; Tschewang, Ugyen; Tshering, Nima; Sherab, Rinchen; Dawa, Karma; Dorji, Tschering; Tashi, Phurba – Journal of the International Society for Teacher Education, 2021
Students preferentially absorb and process information in diverse ways. Pedagogy should vary accordingly. The knowledge of teachers on the learners' preferred learning styles plays a pivotal role in better teaching and learning processes, contributing to a better-quality education. Still, little is known about the preferred learning style of…
Descriptors: Cognitive Style, Preferences, Learning Modalities, Aural Learning
Mašic, Adela; Polz, Edda; Becirovic, Senad – Online Submission, 2020
In education it is important to celebrate all aspects of diversity, including different ways students learn. Addressing these diversities in the classroom is paramount for the success of every student. This research on learning styles may help in explaining the possible reasons for differences in students' achievement. The aim of this study was to…
Descriptors: Cognitive Style, Grade Point Average, Gender Differences, Academic Achievement
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Nixon, Ryan S.; Smith, Leigh K.; Wimmer, Jennifer J. – School Science and Mathematics, 2015
This quasi-experimental study investigated how explicit instruction about multiple modes of representation (MMR) impacted grades 7 (n = 61) and 8 (n = 141) students' learning and multimodal use on end-of-unit assessments. Half of each teacher's (n = 3) students received an intervention consisting of explicit instruction on MMR in science…
Descriptors: Quasiexperimental Design, Grade 7, Grade 8, Intervention
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection