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D'Errico, Francesca; Paciello, Marinella; De Carolis, Bernardina; Vattanid, Alessandro; Palestra, Giuseppe; Anzivino, Giuseppe – International Journal of Emotional Education, 2018
In times of growing importance and emphasis on improving academic outcomes for young people, their academic selves/lives are increasingly becoming more central to their understanding of their own wellbeing. How they experience and perceive their academic successes or failures, can influence their perceived self-efficacy and eventual academic…
Descriptors: Well Being, Self Efficacy, Academic Achievement, Cognitive Processes
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Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
Hurst, Barbara Martin – 1980
Several categories of the affective domain are important to the schooling process. Schools are delegated the responsibility of helping students to clarify their esthetic, instrumental, and moral values. Three areas of affect are related to student achievement: subject-related affect, school-related affect, and academic self concept. In addition,…
Descriptors: Academic Achievement, Affective Behavior, Affective Objectives, Classification
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Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
Kling, Martin, Ed. – 1973
This conference report contains the following papers: "Ability versus Knowledge in Testing Educational Achievement" and "Knowledge vs. Ability in Achievement Testing," by Robert L. Ebel; "A Four-Domain Taxonomy for Classifying Educational Tasks and Objectives," by Bruce W. Tuckman; "On the Social Psychology of the Self-Fulfilling Prophecy: Further…
Descriptors: Academic Achievement, Achievement Tests, Affective Behavior, Beginning Reading
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Gajar, Anna H. – Journal of Special Education, 1980
Characteristics, across categories, of 198 students previously identified as educable mentally retarded, learning disabled, and emotionally disturbed were analyzed in order to validate their relevance in distinguishing among the three groups of children. (Author)
Descriptors: Academic Achievement, Affective Behavior, Classification, Cognitive Ability
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
Bryan, Miriam M. – 1971
Ability grouping, defined as "the practice of organizing classroom groups in a graded school to put together children of a given age and grade who have most nearly the same standing on measures or judgments of learning achievement or capability," is considered in terms of its effect upon students' academic achievement and affective development. It…
Descriptors: Ability Grouping, Academic Achievement, Affective Behavior, Classification