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Rey, Gunter Daniel; Fischer, Andreas – Instructional Science: An International Journal of the Learning Sciences, 2013
The expertise reversal effect occurs when learner's expertise moderates design principles derived from cognitive load theory. Although this effect is supported by numerous empirical studies, indicating an overall large effect size, the effect was never tested by inducing expertise experimentally and using instructional explanations in a…
Descriptors: Difficulty Level, Cognitive Processes, Computer Assisted Instruction, Novices
Scheerens, Jaap; Luyten, Hans; van den Berg, Stéphanie M.; Glas, Cees A. W. – Educational Research and Evaluation, 2015
As expectations of the economic impact of educational attainment are soaring (Hanushek & Woessmann, 2009) and conjectures about successful national educational reforms (Mourshed, Chijioke, & Barber, 2010) are welcomed by educational policy-makers in many countries, a careful assessment of the empirical evidence for these kinds of claims is…
Descriptors: Foreign Countries, Educational Attainment, Educational Change, Comparative Education
Thurlow, Martha L.; Albus, Debra A.; Lazarus, Sheryl S. – National Center on Educational Outcomes, 2015
Graduation requirements and diploma options for students with disabilities who participate in the general assessment has been a topic of interest for many years. The recent push for all students, including those with disabilities, to leave school ready for college and career has heightened the importance of understanding what states are requiring…
Descriptors: Synthesis, Disabilities, Educational Policy, Graduation Requirements
Olsen, Jennifer K.; Aleven, Vincent; Rummel, Nikol – Grantee Submission, 2015
Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…
Descriptors: Educational Environment, Predictive Measurement, Predictor Variables, Cooperative Learning
Heritage, Margaret; Walqui, Aída; Linquanti, Robert – Harvard Education Press, 2015
In "English Language Learners and the New Standards," three leading scholars present a clear vision and practical suggestions for helping teachers engage ELL students in simultaneously learning subject-area content, analytical practices, and language. This process requires three important shifts in our perspective on language and…
Descriptors: English Language Learners, Common Core State Standards, Second Language Instruction, Educational Practices
Olsen, Jennifer K.; Aleven, Vincent; Rummel, Nikol – International Educational Data Mining Society, 2015
Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…
Descriptors: Educational Environment, Predictive Measurement, Predictor Variables, Cooperative Learning
Salmon, Aliénor – UNESCO Bangkok, 2015
What factors might be causing the low participation of women Science, Technology, Engineering and Mathematics (STEM) fields? What can be done to attract more girls and women into STEM in Asia and beyond? The report, "A Complex Formula. Girls and Women in Science, Technology, Engineering and Mathematics in Asia", answers three fundamental…
Descriptors: Females, STEM Education, Student Attitudes, Career Choice
Radwin, David; Hensley, Elisabeth – College Board Advocacy & Policy Center, 2012
The implementation of the Common Core State Standards (CCSS) over the coming years will provide an opportunity for K-12 and postsecondary educators to share and use data effectively to support alignment between the sectors and reduce the need for remedial education. This brief describes how these groups can work together to make the most of data…
Descriptors: Elementary Secondary Education, State Standards, Alignment (Education), Incidence
Halatchliyski, Iassen; Hecking, Tobias; Göhnert, Tilman; Hoppe, H. Ulrich – Journal of Learning Analytics, 2014
This paper introduces the scientometric method of main path analysis and its application in an exemplary study of the paths of knowledge development and the roles of contributors in Wikiversity. Data from two scientific domains in this online learning community has been used. We see this as a step forward in adapting and adopting network analysis…
Descriptors: Path Analysis, Knowledge Level, Communities of Practice, Computer Mediated Communication
Wieman, Rob – Action in Teacher Education, 2014
What data should teachers use, and how should they use these data to improve their teaching? In this review, a diverse set of literature that addresses this question is categorized according to three distinct approaches: the diagnostic approach, the methods approach, and the teacher approach. Within the diagnostic approach, teachers collect data…
Descriptors: Instructional Improvement, Evaluation Utilization, Information Utilization, Data
Walldén, Sari; Mäkinen, Erkki – Informatics in Education, 2014
This paper considers the use of log data provided by learning management systems when studying whether students obey the problem-based learning (PBL) method. Log analysis turns out to be a valuable tool in measuring the use of the learning material of interest. It gives reliable figures concerning not only the number of use sessions but also the…
Descriptors: Problem Based Learning, Data, Data Analysis, Longitudinal Studies
Garcia-Mila, Merce; Marti, Eduard; Gilabert, Sandra; Castells, Marina – Mathematical Thinking and Learning: An International Journal, 2014
Studies that consider the displays that students create to organize data are not common in the literature. This article compares fifth through eighth graders' difficulties with the creation of bar graphs using either raw data (Study 1, n = 155) or a provided table (Study 2, n = 152). Data in Study 1 showed statistical differences for the type of…
Descriptors: Graphs, Problems, Data Interpretation, Comparative Analysis
Thille, Candace; Schneider, Emily; Kizilcec, René F.; Piech, Christopher; Halawa, Sherif A.; Greene, Daniel K. – Research & Practice in Assessment, 2014
The article addresses the question of how the assessment process with large-scale data derived from online learning environments will be different from the assessment process without it. Following an explanation of big data and how it is different from previously available learner data, we describe three notable features that characterize…
Descriptors: Data, Online Courses, Electronic Learning, Case Studies
Bosworth, Kris; Judkins, Maryann – Theory Into Practice, 2014
Preventing bullying requires a comprehensive approach that includes a focus on school climate. We review the climate features shown to reduce bullying, then illustrate how School-wide Positive Behavioral Interventions and Supports (SWPBIS) applies these principles in practice. SWPBIS, grounded in multiple theories--behaviorism, social learning…
Descriptors: Educational Environment, Bullying, Prevention, Behavior Modification
Taylor, Maurice; Taschereau, Suzanne – Canadian Journal of Action Research, 2014
This pan Canadian participatory action research project involved faculty and managers in twelve Canadian colleges and institutes, nine employers, and 1300 students and workers in examining exemplary practice in essential skills as a way of catalyzing system change. Multiple sources of data were used in the three year project and key findings…
Descriptors: Foreign Countries, Action Research, Colleges, College Students