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Khosravi, Hassan; Kitto, Kirsty; Cooper, Kendra – Journal of Educational Data Mining, 2017
Various forms of Peer-Learning Environments are increasingly being used in post-secondary education, often to help build repositories of student generated learning objects. However, large classes can result in an extensive repository, which can make it more challenging for students to search for suitable objects that both reflect their interests…
Descriptors: Teaching Methods, College Students, Educational Technology, Technology Uses in Education
McKnight, Katherine – Free Spirit Publishing, 2014
Based on the original source document for the Common Core State Standards and tested by 1,000 educators in diverse classrooms across the country, these research-based tools will help readers examine their current practices and adapt existing curriculum. Each of the 40 tools is clearly presented, explained, and exemplified, guiding educators…
Descriptors: Common Core State Standards, Guides, Educational Practices, Curriculum Development
Goodstein, Henry A. – Education and Training of the Mentally Retarded, 1974
Descriptors: Behavioral Objectives, Curriculum Design, Exceptional Child Education, Handicapped Children
Alvir, Howard P. – 1974
The document recounts in a narrative scenario how fictional nursing teachers and a consultant in a work-session developed a matrix which helped the teachers organize their clinical nursing courses more effectively by discriminating carefully among knowledge, performance, and attitude objectives. Placing the objectives on the matrix revealed the…
Descriptors: Affective Objectives, Behavioral Objectives, Cognitive Objectives, Course Objectives
Stelzer, John; Kingsley, Edward H. – 1974
This report describes the results of preliminary work by the Human Resources Research Organization to develop a comprehensive theory for structuring subject matter. The report focuses on the first three of five components that any comprehensive model of instruction should include: (1) a representation of the subject matter to be taught; (2) a…
Descriptors: Behavioral Objectives, Course Content, Educational Research, Individualized Instruction
Ausburn, Lynna J.; Ausburn, Floyd B. – Educational Communication and Technology: A Journal of Theory, Research, and Development, 1978
Suggests 11 dimensions of cognitive style which influence learning, and proposes a three-step instructional design plan to move beyond individual instruction to individualized instruction, so that differences in learners need not result in differences in learning. (Author/JEG)
Descriptors: Cognitive Processes, Cognitive Style, Concept Formation, Individualized Instruction
Peer reviewedRaver, Sharon – Young Exceptional Children, 2003
This article reviews routine-based teaching and monitoring and offers guidelines for using these strategies to track the progress of individual children with disabilities. The Individual Activity-Objective Matrix and the Group-Objective Matrix are explained as ways to help teachers to structure opportunities for a child to learn and practice…
Descriptors: Data Collection, Disabilities, Early Childhood Education, Group Instruction
Iowa Central Community College, Fort Dodge. – 1978
This student program guide is designed for mildly mentally disabled secondary students in experience-based career education programs (EBCE). Section I provides a brief overview of the document. Section II contains four activities for use in determining career interests and aptitude; included is a chart for relating school subjects and occupations…
Descriptors: Aptitude, Career Education, Career Planning, Course Descriptions
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection

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