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Learning Progressions and Teaching Sequences: A Review and Analysis
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Duschl, Richard; Maeng, Seungho; Sezen, Asli – Studies in Science Education, 2011
Our paper is an analytical review of the design, development and reporting of learning progressions and teaching sequences. Research questions are: (1) what criteria are being used to propose a "hypothetical learning progression/trajectory" and (2) what measurements/evidence are being used to empirically define and refine a "hypothetical learning…
Descriptors: Mathematics Education, Science Education, Learning Processes, Evidence
A Team-Teaching Model for Practicing Project-Based Learning in High School: Collaboration between Computer and Subject Teachers
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Chang, Ling-Chian; Lee, Greg C. – Computers & Education, 2010
Project-based learning (PBL) is a highly effective means of motivating students to learn independently. However, training or encouraging teachers to practice PBL in their classrooms is challenging, especially if the educational system does not accommodate creative teaching practices. In particular, in a test-driven educational system, time…
Descriptors: Student Projects, Models, Cooperation, Active Learning
Effects of Integrating Multimedia into the Third Grade Mathematics Curriculum to Improve Student Learning
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Liu, Yuliang – Journal of Educational Technology Systems, 2012
This project was designed to test Mayer's multimedia theory in an elementary school to improve students' mathematics learning for low-income children. The study designed and developed two multimedia mathematics experiments in 3rd grade: 9's multiplication experiment and geometric solids experiment. The two experimental lessons were implemented in…
Descriptors: Mathematics Education, Low Income Groups, Pretests Posttests, Geometric Concepts
Poisson-Based Inference for Perturbation Models in Adaptive Spelling Training
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Baschera, Gian-Marco; Gross, Markus – International Journal of Artificial Intelligence in Education, 2010
We present an inference algorithm for perturbation models based on Poisson regression. The algorithm is designed to handle unclassified input with multiple errors described by independent mal-rules. This knowledge representation provides an intelligent tutoring system with local and global information about a student, such as error classification…
Descriptors: Foreign Countries, Spelling, Intelligent Tutoring Systems, Prediction
An Enhanced Learning Diagnosis Model Based on Concept-Effect Relationships with Multiple Knowledge Levels
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Chu, Hui-Chun; Hwang, Gwo-Jen; Huang, Yueh-Min – Innovations in Education and Teaching International, 2010
Conventional testing systems usually give students a score as their test result, but do not show them how to improve their learning performance. Researchers have indicated that students would benefit more if individual learning guidance could be provided. However, most of the existing learning diagnosis models ignore the fact that one concept…
Descriptors: Test Results, Teaching Methods, Elementary School Students, Elementary School Teachers
Advances in Treatment Integrity Research: Multidisciplinary Perspectives on the Conceptualization, Measurement, and Enhancement of Treatment Integrity
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Schulte, Ann C.; Easton, Julia E.; Parker, Justin – School Psychology Review, 2009
Documenting treatment integrity is an important issue in research and practice in any discipline concerned with prevention and intervention. However, consensus concerning the dimensions of treatment integrity and how they should be measured has yet to emerge. Advances from three areas in which significant treatment integrity work has taken…
Descriptors: Substance Abuse, Prevention, Outcomes of Treatment, School Psychology