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Young, Anita A.; Bryan, Julia A. – Measurement and Evaluation in Counseling and Development, 2018
Researchers examined data from a national sample of 776 school counselors to further determine the factor structure of the School Counselor Leadership Survey. Confirmatory factor analyses supported use of a modified 5-factor model. Survey scores demonstrated good internal consistency and convergent validity. Differences between supervisors and…
Descriptors: School Counselors, Leadership, Factor Analysis, School Counseling
Sheida K. Raley; Karrie A. Shogren; Annette McDonald – Inclusion, 2018
Skills associated with self-determination (e.g., self-regulation, problem solving, goal-setting, planning) are infused throughout all secondary content standards, including career and college readiness standards for which all students are responsible. Given research demonstrating the link between self-determination and positive school and…
Descriptors: Self Determination, Models, Inclusion, Secondary School Mathematics
Ward, Brandt – Technology and Engineering Teacher, 2015
In an environment of rapid and unpredictable change determined and directed by technologies that are constantly changing, the assumption that being technologically literate is the key to being a sustained, contributing life-long learner is well founded. However, technological literacy is seldom referred to or considered in academic arguments as a…
Descriptors: Problem Solving, Technological Literacy, Models, Definitions
Michael F. Giangreco; Jesse C. Suter – Inclusion, 2015
The absence of unified and inclusive special education service delivery models represents a longstanding challenge to the education of students with the full range of disabilities in inclusive schools and classrooms. An exemplar model is offered for elementary schools within a multi-tiered system of support (MTSS) framework. To establish its…
Descriptors: Inclusion, Special Education, Delivery Systems, School Demography
Austerweil, Joseph L.; Griffiths, Thomas L.; Palmer, Stephen E. – Cognitive Science, 2017
How does the visual system recognize images of a novel object after a single observation despite possible variations in the viewpoint of that object relative to the observer? One possibility is comparing the image with a prototype for invariance over a relevant transformation set (e.g., translations and dilations). However, invariance over…
Descriptors: Prior Learning, Inferences, Visual Acuity, Recognition (Psychology)
Kashyap, Upasana; Mathew, Santhosh – Journal of STEM Education: Innovations and Research, 2017
The purpose of this study was to compare students' performances in a freshmen level quantitative reasoning course (QR) under three different instructional models. A cohort of 155 freshmen students was placed in one of the three models: needing a prerequisite course, corequisite (students enroll simultaneously in QR course and a course that…
Descriptors: Models, STEM Education, Statistical Analysis, Comparative Analysis
Karoff, Maggie; Tucker, Anita R.; Alvarez, Tony; Kovacs, Patricia – Journal of Experiential Education, 2017
Background: Key findings from the literature on treatment interventions with youth with Autism Spectrum Disorder (ASD) indicate that the most successful approaches allow frequent opportunities for uncontrived social interactions and are customizable to the needs of individuals and the group. Adventure therapy meets these criteria while providing…
Descriptors: Autism, Pervasive Developmental Disorders, Adventure Education, Therapy
Jamil, Tahira; Marsman, Maarten; Ly, Alexander; Morey, Richard D.; Wagenmakers, Eric-Jan – Educational and Psychological Measurement, 2017
In 1881, Donald MacAlister posed a problem in the "Educational Times" that remains relevant today. The problem centers on the statistical evidence for the effectiveness of a treatment based on a comparison between two proportions. A brief historical sketch is followed by a discussion of two default Bayesian solutions, one based on a…
Descriptors: Bayesian Statistics, Evidence, Comparative Analysis, Problem Solving
Phillips, Jeffrey A.; Clemmer, Katharine W.; McCallum, Jeremy E. B.; Zachariah, Thomas M. – Journal of College Science Teaching, 2017
Well-developed, problem-solving skills are essential for any student enrolled in a science, technology, engineering, and mathematics (STEM) course as well as for graduates in the workforce. One of the most essential skills is the ability to monitor one's own progress and understanding while solving a problem. Successful monitoring during the…
Descriptors: Problem Solving, Models, STEM Education, Skill Development
Okyere, Gabriel Asare; Tawiah, Richard; Lamptey, Richard Bruce; Oduro, William; Thompson, Michael – Quality Assurance in Education: An International Perspective, 2017
Purpose: The purpose of this paper is to assess the differences pertaining to the resources presently accessible for problem-based learning (PBL) among six colleges of Kwame Nkrumah University of Science and Technology (KNUST) in Ghana. Design/methodology/approach: Data for the study are the cross-sectional type drawn from 1,020 students. Poisson…
Descriptors: Foreign Countries, Problem Based Learning, Universities, Educational Resources
Andrews, Jessica J.; Kerr, Deirdre; Mislevy, Robert J.; von Davier, Alina; Hao, Jiangang; Liu, Lei – Journal of Educational Measurement, 2017
Simulations and games offer interactive tasks that can elicit rich data, providing evidence of complex skills that are difficult to measure with more conventional items and tests. However, one notable challenge in using such technologies is making sense of the data generated in order to make claims about individuals or groups. This article…
Descriptors: Simulation, Interaction, Research Methodology, Cooperative Learning
McLeod, Bryce D.; Sutherland, Kevin S.; Martinez, Ruben G.; Conroy, Maureen A.; Snyder, Patricia A.; Southam-Gerow, Michael A. – Grantee Submission, 2017
Educators are increasingly being encouraged to implement evidence-based interventions and practices to address the social, emotional, and behavioral needs of young children who exhibit problem behavior in early childhood settings. Given the nature of social-emotional learning during the early childhood years and the lack of a common set of core…
Descriptors: Educational Practices, Social Development, Emotional Development, Behavior Development
Braithwaite, David W.; Pyke, Aryn A.; Siegler, Robert S. – Grantee Submission, 2017
Many children fail to master fraction arithmetic even after years of instruction, a failure that hinders their learning of more advanced mathematics as well as their occupational success. To test hypotheses about why children have so many difficulties in this area, we created a computational model of fraction arithmetic learning and presented it…
Descriptors: Arithmetic, Computation, Models, Mathematics Instruction
LeCompte, Karon Nicol; Scott, Lakia M.; Blevins, Brooke – AERA Online Paper Repository, 2017
This study presents a unique educational partnership combining the Children's Defense Fund (CDF) Freedom Schools Program with a concentrated iteration of civic education via iEngage Action Civics in order to provide an opportunity for a localized curriculum that featured specificity to the urban community demographic. Participants were asked to…
Descriptors: Partnerships in Education, Citizenship Education, Advocacy, Community Problems
Phye, Gary D. – AERA Online Paper Repository, 2017
Within the context of complex cognitive processing and educational interventions, Woolfolk (2016) makes reference to problem solving acquisition, problem solving retention, and problem solving transfer. In each of the aforementioned types of problem solving activities, problem identification and problem representation (reflecting procedural…
Descriptors: Semantics, Problem Solving, Retention (Psychology), Cognitive Ability

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