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Lei, Wu; Qing, Fang; Zhou, Jin – International Journal of Distance Education Technologies, 2016
There are usually limited user evaluation of resources on a recommender system, which caused an extremely sparse user rating matrix, and this greatly reduce the accuracy of personalized recommendation, especially for new users or new items. This paper presents a recommendation method based on rating prediction using causal association rules.…
Descriptors: Causal Models, Attribution Theory, Correlation, Evaluation Methods
Caglayan, Gunhan; Olive, John – Educational Studies in Mathematics, 2010
This study examines eighth grade students' use of a representational metaphor (cups and tiles) for writing and solving equations in one unknown. Within this study, we focused on the obstacles and difficulties that students experienced when using this metaphor, with particular emphasis on the operations that can be meaningfully represented through…
Descriptors: Mathematics Education, Figurative Language, Grade 8, Equations (Mathematics)
Bouck, Emily C.; Kulkarni, Gauri; Johnson, Linley – Remedial and Special Education, 2011
This study investigated the impact of mathematics curriculum (standards based vs. traditional) on the performance of sixth and seventh grade students with disabilities on multiple-choice and open-ended assessments aligned to one state's number and operations and algebra standards. It also sought to understand factors affecting student performance…
Descriptors: Mathematics Curriculum, Student Evaluation, Disabilities, Program Effectiveness
Bibi, Tauqir – ProQuest LLC, 2010
The Carnegie Learning Cognitive Tutor curricula are based on cognitive models, which include a representation of the learner's thinking, strategies, and misconceptions. The Cognitive Tutor curricula typically speed up learning and yield greater learning as compared to traditional math curricula (Morgan & Ritter, 2002; Sarkis, 2004; Koedinger,…
Descriptors: Tutors, Geometry, Misconceptions, Core Curriculum
Garcia, Alfonsa; Garcia, Francisco; Rodriguez, Gerardo; de la Villa, Agustin – International Journal for Technology in Mathematics Education, 2011
In recent years, a considerable number of teachers in Spain have been using DERIVE to teach math subjects in High Schools and Universities. This software has been used by the authors of this work as a support tool in Mathematics courses for Engineering. Since Texas Instruments does not support DERIVE, we were faced with finding an alternative…
Descriptors: Foreign Countries, Engineering Education, Teaching Methods, Computer Software
Cortes-Suarez, Gina; Sandiford, Janice R. – Community College Journal of Research and Practice, 2008
Research in the field of attribution theory and academic achievement suggests a relationship between a student's attributional style and achievement. Theorists and researchers contend that attributions influence individual reactions to success and failure. They also report that individuals use attributions to explain and justify their performance.…
Descriptors: Attribution Theory, Mathematics Education, Academic Achievement, Statistical Significance
FRINCKE, GERALD L.; STOLUROW, LAWRENCE M. – 1964
WORKSHEETS FROM AN AUTO-INSTRUCTIONAL PROGRAM IN HIGH SCHOOL ALGEBRA WERE USED TO COMPARE DATA PROCESSING METHODS. IN THE SCRIBE SYSTEM, WORKSHEET DATA IS TRANSFERRED FIRST ONTO SPECIAL SHEETS REQUIRING RECORDING OF ERRORS AND OMISSIONS ONLY, AND THEN ONTO IBM CARDS. THE IBM CARDS CAN BE USED IN A SPECIAL IBM 1620 ITEM DIFFICULTY ANALYSIS PROGRAM.…
Descriptors: Algebra, Comparative Analysis, Data Processing, Educational Testing

Adams, Thomasenia Lott – Community College Journal of Research and Practice, 1997
Describes a study that examined three areas of student assessment in a college algebra classroom (i.e., oral interactions, observations, and problem-solving investigations) before and after the use of graphing calculators in class activities. Reports that the use of the calculators enhanced the teacher's assessment practices in all three areas.…
Descriptors: Algebra, Classroom Techniques, College Mathematics, Community Colleges
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