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Sonsoles López-Pernas; Mohammed Saqr; Aldo Gordillo; Enrique Barra – Interactive Learning Environments, 2023
Learning analytics methods have proven useful in providing insights from the increasingly available digital data about students in a variety of learning environments, including serious games. However, such methods have not been applied to the specific context of educational escape rooms and therefore little is known about students' behavior while…
Descriptors: Learning Analytics, Educational Games, Student Behavior, Computer Uses in Education
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Quinn, Melissa M.; Smith, Theodore; Kalmar, Eileen L.; Burgoon, Jennifer M. – Anatomical Sciences Education, 2018
Students learn and process information in many different ways. Learning styles are useful as they allow instructors to learn more about students, as well as aid in the development and application of useful teaching approaches and techniques. At the undergraduate level there is a noticeable lack of research on learning style preferences of students…
Descriptors: Cognitive Style, Anatomy, Science Instruction, Undergraduate Students
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Rasheed, Fareeha; Wahid, Abdul – International Journal of Information and Learning Technology, 2019
Purpose: The purpose of this paper is to identify the different sequence generation techniques for learning, which are applied to a broad category of personalized learning experiences. The papers have been classified using different attributes, such as the techniques used for sequence generation, attributes used for sequence generation; whether…
Descriptors: Sequential Approach, Electronic Learning, Futures (of Society), Student Characteristics
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Cordoni, Barbara K.; And Others – Journal of Learning Disabilities, 1981
Consistent with earlier research using the Wechsler Intelligence Scale for Children (WISC) and the WISC-Revised, the Information, Digit Span, and Digit Symbol (i.e., Coding) subtests contribute substantially and independently to group differentiation. A. Bannatyne's Sequential factor also discriminates between these groups. (Author)
Descriptors: College Students, Higher Education, Intelligence Tests, Learning