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Öhrstedt, Maria; Scheja, Max – Educational Research, 2018
Background: How students go about studying, including the learning activities that students engage in both during and between classes, is not easily understood. Previous research indicates that critical student features, such as approaches to learning and decisions of how to organise studying activities, develop in bidirectional interactions…
Descriptors: Foreign Countries, College Freshmen, Psychology, Introductory Courses
Nye, Benjamin D.; Pavlik, Philip I., Jr.; Windsor, Alistair; Olney, Andrew M.; Hajeer, Mustafa; Hu, Xiangen – International Journal of STEM Education, 2018
Background: This study investigated learning outcomes and user perceptions from interactions with a hybrid intelligent tutoring system created by combining the AutoTutor conversational tutoring system with the Assessment and Learning in Knowledge Spaces (ALEKS) adaptive learning system for mathematics. This hybrid intelligent tutoring system (ITS)…
Descriptors: Intelligent Tutoring Systems, Mathematics Instruction, Outcomes of Education, Mastery Learning
Lucas, Terry – E-Learning and Digital Media, 2019
Animation can be used for various purposes such as for procedural and motor skill learning (i.e., dance, sports, and motor rehabilitation). In the context of visual design, this study explores the possible influence of realism (levels of visual detail) in animation at the cognitive stage of motor skill acquisition. Students (N = 64) with low-prior…
Descriptors: Realism, Psychomotor Skills, Difficulty Level, Animation
Liu, Xianghu – English Language Teaching, 2014
This study investigates the attitudes towards, and practices of, computer-assisted autonomous learning in learning English of 160 students from three different higher education institutions in China. To do this, a questionnaire was completed by 160 participants, and follow-up in-depth interviews were undertaken with six participants and six of…
Descriptors: Foreign Countries, Student Attitudes, Computer Assisted Instruction, Electronic Learning