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Showing 1 to 15 of 24 results Save | Export
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Paquette, Luc; Baker, Ryan S. – Interactive Learning Environments, 2019
Learning analytics research has used both knowledge engineering and machine learning methods to model student behaviors within the context of digital learning environments. In this paper, we compare these two approaches, as well as a hybrid approach combining the two types of methods. We illustrate the strengths of each approach in the context of…
Descriptors: Comparative Analysis, Student Behavior, Models, Case Studies
Castro, Francisco Enrique Vicente; Adjei, Seth; Colombo, Tyler; Heffernan, Neil – International Educational Data Mining Society, 2015
A great deal of research in educational data mining is geared towards predicting student performance. Bayesian Knowledge Tracing, Performance Factors Analysis, and the different variations of these have been introduced and have had some success at predicting student knowledge. It is worth noting, however, that very little has been done to…
Descriptors: Models, Student Behavior, Intelligent Tutoring Systems, Data Analysis
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Yamaguchi, Ryoko; Hall, Adam – National Center for Education Research, 2017
Between 2002 and 2014, the Institute of Education Sciences (Institute) supported over 400 projects focused on education technology through the National Center for Education Research (NCER) and the National Center for Special Education Research (NCSER). The majority of this work has been funded through Education Technology research topics of NCER…
Descriptors: Educational Technology, Educational Research, Research Projects, Public Agencies
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Hampshire, Patricia Korzekwa; Butera, Gretchen; Bellini, Scott – Beyond Behavior, 2011
As research has suggested, success with homework tasks directly relates to overall academic achievement (Coutts, 2004). In addition, homework provides a venue for developing organizational skills that become necessary as students learn to self-manage. Thus, the importance of developing homework strategies that support both student achievement and…
Descriptors: Homework, Autism, Academic Achievement, Tutoring
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Williams, Brenda – Clearing House: A Journal of Educational Strategies, Issues and Ideas, 2013
Middle school students from military families face unique challenges, especially when their parents are deployed. Among the challenges they experience are frequent relocations; issues that affect academic achievement; uncertainty; and changes in roles, responsibilities, and relationships at home. Reunification involves issues of the returning…
Descriptors: Middle School Students, Student Needs, Military Personnel, Early Adolescents
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Laureano-Cruces, Ana Lilia; Ramirez-Rodriguez, Javier; Mora-Torres, Martha; de Arriaga, Fernando; Escarela-Perez, Rafael – Interactive Learning Environments, 2010
In this paper behavior during the teaching-learning process is modeled by means of a fuzzy cognitive map. The elements used to model such behavior are part of a generic didactic model, which emphasizes the use of cognitive and operative strategies as part of the student-tutor interaction. Examples of possible initial scenarios for the…
Descriptors: Cognitive Mapping, Educational Technology, Teaching Methods, Cognitive Development
Walker, Karen – Education Partnerships, Inc., 2009
Secretary of Education, Duncan, proclaimed to a group of teachers in Colorado that if students were to be more competitive with those from other countries, in particular, China and India, they needed to be in school six days a week for at least 11 months a year (Associated Press, 2009). Although longer school days, weeks and years are not…
Descriptors: Academic Support Services, School Schedules, Competition, Enrichment Activities
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Simonsen, Brandi; Fairbanks, Sarah; Briesch, Amy; Myers, Diane; Sugai, George – Education and Treatment of Children, 2008
Classroom management is a critical skill area. Teachers should be trained and supported in implementing practices that are likely to be successful; that is, practices that are backed by evidence. The purpose of this paper is to describe the outcomes of a systematic literature search conducted to identify evidence-based classroom management…
Descriptors: Classroom Techniques, Reinforcement, Peer Teaching, Tutoring
Ben-Naim, Dror; Bain, Michael; Marcus, Nadine – International Working Group on Educational Data Mining, 2009
It has been recognized that in order to drive Intelligent Tutoring Systems (ITSs) into mainstream use by the teaching community, it is essential to support teachers through the entire ITS process: Design, Development, Deployment, Reflection and Adaptation. Although research has been done on supporting teachers through design to deployment of ITSs,…
Descriptors: Foreign Countries, Intelligent Tutoring Systems, Computer System Design, Computer Managed Instruction
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Keifer, David A. – NASSP Bulletin, 1980
A Saturday session in the Saucon Valley School District, Hallertown (Pennsylvania), including academic tutoring and counseling, is a low-cost effective alternative to suspension. (Author/MLF)
Descriptors: Discipline Policy, Elementary Secondary Education, Student Behavior, Suspension
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Klausmeier, Herbert J. – Theory into Practice, 1980
A description is given of a training program for students preparing to be tutors. Tutors are taught to apply clearly specified motivational principles as a part of the tutoring process. (JD)
Descriptors: Feedback, Individual Instruction, Positive Reinforcement, Self Concept
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Scheuer, Oliver; Muhlenbrock, Martin; Melis, Erica – Journal of Interactive Learning Research, 2007
Recently, there is a growing interest in the automatic analysis of learner activity in web-based learning environments. The approach and system SIAM (System for Interaction Analysis by Machine learning) presented in this article aims at helping to establish a basis for the automatic analysis of interaction data by developing a data logging and…
Descriptors: Web Based Instruction, Educational Environment, Cognitive Style, Student Behavior
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Mathan, Santosh A.; Koedinger, Kenneth R. – Educational Psychologist, 2005
This article explores 2 important aspects of metacognition: (a) how students monitor their ongoing performance to detect and correct errors and (b) how students reflect on those errors to learn from them. Although many instructional theories have advocated providing students with immediate feedback on errors, some researchers have argued that…
Descriptors: Metacognition, Instructional Design, Feedback, Teaching Methods
Porto, Mark – Principal Leadership, 2007
In this article, a principal is inspired to change the conversations with students and staff members from discipline and deficit to hope and planning for future achievement. He wants conversations to be more about academic goals and decision making and less about discipline and random acceptance of postsecondary plans. He has asked all staff…
Descriptors: Tutoring, Academic Achievement, Student Attitudes, Advanced Placement
Puchner, Laurel D. – 2003
This paper synthesizes what is known from previous research about the effects of children teaching other children in different K-12 contexts, emphasizing the academic and affective impact of such activity on the child doing the teaching. The study reviews peer teaching, integrating research findings about different types of peer teaching into one…
Descriptors: Context Effect, Cooperative Learning, Cross Age Teaching, Elementary Secondary Education
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