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Aleksandra Maslennikova; Daniela Rotelli; Anna Monreale – Journal of Learning Analytics, 2023
Students organize and manage their own learning time, choosing when, what, and how to study due to the flexibility of online learning. Each person has unique learning habits that define their behaviours and distinguish them from others. To investigate the temporal behaviour of students in online learning environments, we seek to identify suitable…
Descriptors: Learning Analytics, Online Courses, Time Management, Self Management
Jiang, Yang; Paquette, Luc; Baker, Ryan S.; Clarke-Midura, Jody – International Educational Data Mining Society, 2015
Inquiry skills are an important part of science education standards. There has been particular interest in verifying that these skills can transfer across domains and instructional contexts [4,15,16]. In this paper, we study transfer of inquiry skills, and the effects of prior practice of inquiry skills, using data from over 2000 middle school…
Descriptors: Performance Based Assessment, Virtual Classrooms, Comparative Analysis, Novices
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Chang, Pei-Fen; Lin, Miao-Chen – Journal of Further and Higher Education, 2015
This study investigates problem-solving difficulties of novices in a classroom setting, using a German instructional tool, the Fischertechnik kit of approximately 400 parts. In order to analyse the students' thinking processes as they solved the problems, verbal protocol analysis (VPA) was used to record the students'' thinking processes and…
Descriptors: Problem Solving, Novices, Student Characteristics, Student Behavior
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Becker, Bernd – Behavioral & Social Sciences Librarian, 2013
The migration from traditional classrooms to online learning environments is in full effect. In the midst of these changes, a new approach to learning analytics needs to be considered. Learning analytics refers to the process of collecting and studying usage data in order to make instructional decisions that will support student success. In…
Descriptors: Educational Technology, Electronic Learning, Learning Processes, Learning Activities
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Lu, Hong; Jia, Lei; Gong, Shu-hong; Clark, Bruce – Educational Technology & Society, 2007
This study focused on the relationship between Kolb learning styles and the enduring time of online learning behaviors, the relationship between Kolb learning styles and learning outcomes and the relationship between learning outcomes and the enduring time of a variety of different online learning behaviors. Prior to the experiment, 104 students…
Descriptors: Cognitive Style, Electronic Learning, Student Behavior, Time on Task
Ysseldyke, James E.; And Others – 1988
The study investigated alternative explanations for differences in mathematics achievement between pairs of handicapped students exhibiting comparable amounts of academic engaged time. Forty-two students in grades 2-4 from urban and suburban districts participated; 14 students were classified as learning disabled, 14 as emotionally or behaviorally…
Descriptors: Academic Achievement, Cognitive Ability, Cognitive Style, Elementary Education
Ysseldyke, James E.; And Others – 1988
The study investigated alternative explanations for differences in reading achievement between pairs of handicapped students exhibiting comparable amounts of academic engaged time. Forty-six students in grades 2-4 from urban and suburban districts participated; 16 were classified as learning disabled (LD), 14 as emotionally/behaviorally disturbed…
Descriptors: Academic Achievement, Cognitive Ability, Cognitive Style, Elementary Education
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Ellingson, William E.; Long, Elizabeth A.; McCullough, Kathryn L. – 1997
This action research project evaluated an intervention to improve student motivation, attendance, homework return, and academic growth. Participating were 22 third graders and 53 middle school students in two growing middle class communities in north central Illinois. Inadequate student motivation was documented through data on attendance, student…
Descriptors: Academic Achievement, Attendance, Behavior Change, Change Strategies