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Perveen, Ayesha – Turkish Online Journal of Distance Education, 2018
This paper develops a theoretical framework for employing learning analytics in online education to trace multiple learning variations of online students by considering their potential of being multiple intelligences based on Howard Gardner's 1983 theory of multiple intelligences. The study first emphasizes the need to facilitate students as…
Descriptors: Multiple Intelligences, Electronic Learning, Data Collection, Data Analysis
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Aksoy, Esra; Narli, Serkan; Aksoy, Mehmet Akif – International Journal of Research in Education and Science, 2018
In the identification process, there may be gifted students who may be unnoticed or students who are misdiagnosed and are disappointed. In this context, this study is a step that may solve these two problems about the identification of mathematically gifted students with the help of data mining, which is data analysis methodology that has been…
Descriptors: Academically Gifted, Talent Identification, Data Collection, Mathematics Instruction
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Martín-Monje, Elena; Castrillo, María Dolores; Mañana-Rodríguez, Jorge – Computer Assisted Language Learning, 2018
Data mining is increasing its popularity in the research of Technology-Enhanced Language Learning and Applied Linguistics in general. It enables a better understanding of progress, performance and possible pitfalls, which would be useful for language learners, teachers and researchers. Until recently it was an unexplored field, but it is expected…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
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Narli, Serkan; Ozgen, Kemal; Alkan, Huseyin – Learning and Individual Differences, 2011
The present study aims to identify the relationship between individuals' multiple intelligence areas and their learning styles with mathematical clarity using the concept of rough sets which is used in areas such as artificial intelligence, data reduction, discovery of dependencies, prediction of data significance, and generating decision…
Descriptors: Multiple Intelligences, Cognitive Style, Artificial Intelligence, Data Analysis
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Wu, Shu-hua; Alrabah, Sulaiman – Innovations in Education and Teaching International, 2009
The purpose of the present study was to relate the findings of a survey of learning styles and multiple intelligences that was distributed among two different cultural groups of Freshman-level EFL students in Taiwan and Kuwait in order to confirm its consistency for developing teaching techniques appropriate for each group's general profiles. Data…
Descriptors: Multiple Intelligences, Cognitive Style, Foreign Countries, Data Analysis
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Naeini, Ma'ssoumeh Bemani; Pandian, Ambigapathy – TESL Canada Journal, 2010
Gardner's (1983) Multiple Intelligences Theory (MIT) has been found to have profound implications in teaching English as a foreign language (TEFL) in that it provides a way for teachers to recognize learners' individual cognitive and affective differences by providing favorable motivational conditions for learning. However, little investigation…
Descriptors: Personality Traits, Multiple Intelligences, Listening Comprehension, Data Analysis
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Broda, Herbert W.; Baxter, Ryan E. – Social Studies, 2003
Passive students staring blankly at computer screens has been a worrisome image for many educators. Often they fear that technology can remove students from contact with the real world. Two technologies that have been in general use for many years, but are more recently appearing in the educational sector, provide the opportunity to reap the…
Descriptors: Information Systems, Technology Uses in Education, Spatial Ability, Visualization