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Showing all 15 results Save | Export
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Moore, Robert L.; Oliver, Kevin M.; Wang, Chuang – Interactive Learning Environments, 2019
Learning analytics focuses on extracting meaning from large amounts of data. One of the largest datasets in education comes from Massive Open Online Courses (MOOCs) that typically feature enrollments in the tens of thousands. Analyzing MOOC discussion forums presents logistical issues, resulting chiefly from the size of the dataset, which can…
Descriptors: Cognitive Processes, Online Courses, Discussion Groups, Learning Analytics
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Larson, Michael J.; South, Mikle; Clayson, Peter E.; Clawson, Ann – Journal of Child Psychology and Psychiatry, 2012
Background: Youth diagnosed with autism spectrum disorders (ASD) often show deficits in cognitive control processes, potentially contributing to characteristic difficulties monitoring and regulating behavior. Modification of performance following conflict can be measured by examining conflict adaptation, the adjustment of cognitive resources based…
Descriptors: Autism, Conflict, Disabilities, Cognitive Processes
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Vosen, Melissa A. – English Journal, 2008
Melissa A. Vosen outlines a unit she has designed to help students comprehend the often unclear boundaries and issues surrounding plagiarism. Using Bloom's taxonomy of the cognitive domain, students complete increasingly complex tasks, learning to construct a works cited page and assess scholarly opinions. They also research the consequences of…
Descriptors: Plagiarism, Classification, Ethics, Cognitive Processes
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Yeo, Shelley; Chien, Robyn – Quality in Higher Education, 2007
Procedures for responding consistently to plagiarism incidents are neither clear-cut nor easily implemented and yet inequitable treatment is intrinsically unfair. Classifying the seriousness of a plagiarism incident is problematic and penalties recommended for a given incident can vary greatly. This paper describes the development and testing of a…
Descriptors: Plagiarism, Classification, Cognitive Processes, Ethics
Schalock, H. Del – 1968
To provide effective instruction, a taxonomic framework is proposed which (1) includes all possible learner outcomes yet is understandable and manageable, (2) provides order to currently existing taxonomies of learner outcomes, and (3) facilitates instructional planning. Domains of organismic adaptation roughly corresponding to (1) the need for…
Descriptors: Affective Behavior, Classification, Cognitive Processes, Interpersonal Competence
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Stromer, Robert; And Others – Journal of Applied Behavior Analysis, 1996
This review of research discusses how children with autism may acquire equivalence classes after learning to supply a common oral name to each stimulus in a potential class. A proposed methodology for researching referent naming and class formation, analysis of stimulus classes, and generalization is offered. (CR)
Descriptors: Autism, Behavioral Science Research, Classification, Cognitive Processes
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Anderson-Levitt, Kathryn M. – Elementary School Journal, 1984
Focusing on one teacher's categorization of students'"searching" behavior, describes a case study drawn from ethnographic investigations of classrooms in France and offers a model of the interpretative process. (RH)
Descriptors: Ambiguity, Case Studies, Classification, Cognitive Processes
Loomer, Bradley M. – 1969
Although literature on educational objectives dates back more than 50 years, the last 20 years have seen a renewal of interest in objectives. The taxonomy approach currently in use expresses objectives in terms that are evidenced by pupil behavior. This approach deals with objectives that relate to three separate domains of learning: Cognitive,…
Descriptors: Administrator Role, Affective Behavior, Classification, Cognitive Processes
Gray, Charles E.; Pierce, Walter D. – 1977
This paper examines and summarizes the "Pierce-Gray Classification Model for the Cognitive, Affective, and Psychomotor Domains," a model developed for the classification of educational objectives. The classification system was developed to provide a framework that teachers could use as a guide when developing specific instructional objectives for…
Descriptors: Affective Behavior, Affective Objectives, Behavior Development, Behavioral Objectives
Sierpinska, Anna – Focus on Learning Problems in Mathematics, 1993
Examines operations of generalization, identification, discrimination, and synthesis in mathematical concept development from early childhood to late adolescence according to Vygotsky's theory of development. (MDH)
Descriptors: Abstract Reasoning, Classification, Cognitive Development, Cognitive Processes
Hudgins, Bryce B.; Ahlbrand, William P., Jr. – 1967
As a first step in a research effort directed toward formulation of a theory of instruction which would lead to prediction and control of classroom events, data related to teacher-pupil communication, student covert thinking, and teacher and pupil overt thinking was collected by two observers working over a 5-day period with each of nine junior…
Descriptors: Classification, Classroom Communication, Cognitive Processes, Educational Research
Sullivan, Howard J. – 1968
Evaluation techniques were designed to improve learner performance through use of pre-specified popular instructional objectives. Current curriculum planning and evaluation practices are examined. Two common evaluation malpractices are: (1) the tendency to treat the content of the program as the most important criterion for evaluation, (2) the…
Descriptors: Academic Achievement, Behavior Change, Behavioral Objectives, Classification
Gallagher, James J. – 1968
This report reviews 3 demonstration studies in which the Topic Classification System of classroom interaction analysis (a system of analyzing teacher objectives and student performance) was applied to 3 samples of classroom behaviors to determine the range and limitations of the system. In the introduction the system is discussed with reference to…
Descriptors: Academically Gifted, Behavioral Objectives, Classification, Classroom Communication
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
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers