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Lilian Anthonysamy; Poovilashini Sugendran; Lim Ooi Wei; Teoh Sian Hoon – Education and Information Technologies, 2024
Enhancing students' analytical thinking skills holds great promise for bolstering a nation's economic growth, fostering a dynamic learning culture, and nurturing human capital development. It is especially critical in today's rapidly changing landscape, where the demand for skilled, adaptable graduates is high. Achieving and sustaining these…
Descriptors: Metacognition, Competence, Logical Thinking, College Students
Yavich, Roman; Rotnitsky, Irina – International Journal of Higher Education, 2020
The applications of multiple intelligence theory in education are wide. Students apply the learning in the classroom according to their own dominant intelligence and learning style, which is most effective for them. Combining learning styles with dominant intelligences enhances the students' learning processes. The purpose of this case study is to…
Descriptors: Multiple Intelligences, Academic Achievement, Cognitive Style, Correlation
Canpolat, Murat; Kuzu, Sekvan; Yildirim, Bilal; Canpolat, Sevilay – Eurasian Journal of Educational Research, 2015
Problem Statement: In formal educational environments, the quality of student listening affects learning considerably. Students who are uninterested in a lesson listen reluctantly, wanting time to pass quickly and the class to end as soon as possible. In such situations, students become passive and, though appearing to be listening, will not use…
Descriptors: Foreign Countries, Undergraduate Students, Listening Skills, Academic Achievement
Kaufman, Scott Barry; DeYoung, Caroline G.; Gray, Jeremy R.; Jimenez, Luis; Brown, Jamie; Mackintosh, Nicholas – Cognition, 2010
The ability to automatically and implicitly detect complex and noisy regularities in the environment is a fundamental aspect of human cognition. Despite considerable interest in implicit processes, few researchers have conceptualized implicit learning as an ability with meaningful individual differences. Instead, various researchers (e.g., Reber,…
Descriptors: Intelligence, Structural Equation Models, Associative Learning, Personality
Pechenizkiy, Mykola; Calders, Toon; Conati, Cristina; Ventura, Sebastian; Romero, Cristobal; Stamper, John – International Working Group on Educational Data Mining, 2011
The 4th International Conference on Educational Data Mining (EDM 2011) brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large datasets to answer educational research questions. The conference, held in Eindhoven, The Netherlands, July 6-9, 2011, follows the three previous editions…
Descriptors: Academic Achievement, Logical Thinking, Profiles, Tutoring
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
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