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Rotelli, Daniela; Monreale, Anna – Journal of Learning Analytics, 2023
The increased adoption of online learning environments has resulted in the availability of vast amounts of educational log data, which raises questions that could be answered by a thorough and accurate examination of students' online learning behaviours. Event logs describe something that occurred on a platform and provide multiple dimensions that…
Descriptors: Learning Analytics, Learning Management Systems, Time on Task, Student Behavior
Susan Kowalski; Ayesha Hashim; Scott Peters – NWEA, 2025
When elementary schools integrate literacy and science instruction, they create rich learning environments that allow students to develop an understanding of science ideas while improving their reading, writing, and speaking skills at the same time. Neither subject takes a back seat. Literacy instruction supports science and science instruction…
Descriptors: Elementary School Students, Elementary School Teachers, Elementary School Science, Literacy Education
D'Eon, Marcel; Yasinian, Maryam – Higher Education Research and Development, 2022
In this article, we propose a new model of student workload. We conducted an extensive literature review of student workload, its impact on students' lives, factors influencing student workload, objective and subjective measurements. The previous conceptualizations of student workload conflate student work and course workload, two related but…
Descriptors: Physics, Science Instruction, Learning Processes, Barriers
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
Butler, Deborah L.; Cartier, Sylvie C. – Teachers College Record, 2004
In this article we argue that to be successful in an academic arena, students must adopt a consistent approach to completing academic work (i.e., a work habit) that includes very carefully interpreting the demands of tasks that are presented to them in schools. To clarify why task interpretation is so critical to student success, and is thus an…
Descriptors: Task Analysis, Academic Achievement, Time on Task, Study Habits
Gordon, Edward E.; And Others – Performance and Instruction, 1994
Discusses the undereducated U.S. workforce and the resulting need for workforce education. Highlights include personalized systems of instruction; individualized instructional programs; cognitive processing; prior knowledge; time on task; feedback and assessment; metacognition; motivational links; and the need for a multilayered approach to…
Descriptors: Basic Skills, Educational Needs, Evaluation Needs, Feedback
Hwang, Wu-Yuin; Chang, Chen-Bin; Chen, Gan-Jung – Computers and Education, 2004
This paper proposes a model of learning dynamics and learning energy, one that analyzes learning systems scientifically. This model makes response to the learner action by means of some equations relating to learning dynamics, learning energy, learning speed, learning force, and learning acceleration, which is analogous to the notion of Newtonian…
Descriptors: Portfolios (Background Materials), Distance Education, Learning Motivation, Learning Strategies
Bennett, Neville – 1981
A model of the teaching-learning process identifies and describes varied behavioral dimensions of the classroom and how they relate to pupil achievement. The model is based on the assumption that the total amount of engaged time on a particular topic is the most important determinant of achievement and has the components of: (1) quantity of…
Descriptors: Academic Achievement, Class Organization, Curriculum Development, Feedback
Binder, Carl – Educational Technology, 1993
Discusses fluency-based instruction based on Skinner's research on response rate measures and Precision Teaching. Topics addressed include learning outcomes associated with fluency; fluency and overlearning; implications for instructional design; examples of fluency-based education and training; and strategies for marketing fluency-based…
Descriptors: Behavioral Sciences, Instructional Design, Instructional Materials, Learning Processes
Kuh, George D. – Assessment Update, 2005
Student engagement measures make valuable contributions to an institution's assessment program. Combined with other relevant information, such data help to tie together what students and institutions do, student outcomes, and other indicators of institutional performance. The results can be used in a variety of ways, from comparing student…
Descriptors: Student Attitudes, Time on Task, Learning Processes, Student Experience
Pemberton, Deloras K. – 1984
Generalizations arising from effective teaching studies are vulnerable because they are not based on a theoretical perspective of how learning occurs or can be improved, but have resulted from observations of what teachers appear to be doing when students are learning. Critics of teacher effectiveness studies contend that good instruction requires…
Descriptors: Classroom Research, Classroom Techniques, Cognitive Processes, Curriculum Design
Roberts, Jane M. E.; And Others – 1982
In 1980, the Maryland State Education Agency initiated a statewide effort, School Improvement Through Instructional Process (SITIP), to put into practice the results of research on classroom management and school effectiveness. SITIP was intended to provide training and technical support to all local education agencies (LEA's) during the adoption…
Descriptors: Action Research, Change Strategies, Classroom Techniques, Educational Improvement