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King-Sears, Margaret E.; Garwood, Justin D. – Clearing House: A Journal of Educational Strategies, Issues and Ideas, 2020
The effectiveness of behavioral interventions can be dependent on the fidelity with which practitioners design and implement those methods. Fidelity refers to the degree to which interventions are implemented as intended. Interventions implemented with low fidelity do not achieve anticipated results with students, whereas high-fidelity…
Descriptors: Fidelity, Program Implementation, Intervention, Behavior Modification
Solomon, Benjamin G.; Tobin, Kevin G.; Schutte, Gregory M. – Education and Treatment of Children, 2015
The Effective Behavior Support Self-Assessment Survey (SAS; Sugai, Horner, & Todd, 2003) is designed to measure perceived Positive Behavior Interventions and Supports (PBIS) implementation and identify priorities for improvement. Despite its longevity, little published research exists documenting its reliability or validity for these purposes.…
Descriptors: Reliability, Validity, Self Evaluation (Individuals), Behavior Modification
Sukarjita, I. Wayan; Ardi, Muhammad; Rachman, Abdul; Supu, Amiruddin; Dirawan, Gufran Darma – International Education Studies, 2015
The research of the integration of Environmental Education in science subject matter by application of "MOTORIC" Learning models has carried out on Junior High School Kupang Nusa Tenggara Timur Indonesia. "MOTORIC" learning model is an Environmental Education (EE) learning model that collaborate three learning approach i.e.…
Descriptors: Foreign Countries, Environmental Education, Science Education, Models
Feng, Mingyu, Ed.; Käser, Tanja, Ed.; Talukdar, Partha, Ed. – International Educational Data Mining Society, 2023
The Indian Institute of Science is proud to host the fully in-person sixteenth iteration of the International Conference on Educational Data Mining (EDM) during July 11-14, 2023. EDM is the annual flagship conference of the International Educational Data Mining Society. The theme of this year's conference is "Educational data mining for…
Descriptors: Information Retrieval, Data Analysis, Computer Assisted Testing, Cheating
Meyers, Adena B.; Meyers, Joel; Graybill, Emily C.; Proctor, Sherrie L.; Huddleston, Lillie – Journal of Educational & Psychological Consultation, 2012
This article presents the conceptual foundations and specific features of an ecologically oriented model of school-based organizational consultation. We begin by providing an overview of ecological theory. This is followed by a brief description of a model of school-based organizational consultation with a special focus on the ecological elements…
Descriptors: Social Justice, Educational Assessment, Educational Trends, Educational Change
Mac Iver, Martha Abele; Mac Iver, Douglas J. – New Directions for Youth Development, 2010
Schools with large numbers of students falling off the graduation path need comprehensive reforms that create a solid foundation of high-quality instruction and positive behavioral supports for all students. They also need data-driven response systems that provide targeted and intensive interventions for students who need additional academic and…
Descriptors: Dropout Prevention, Intervention, Graduation Rate, High Schools
Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
Morehouse, Holly – Afterschool Matters, 2009
Early adolescence is a time of transition, change, and growth. At no other time after gestation and early infancy are the human body and mind undergoing such rapid developmental changes. The bodies of young adolescents are physically and sexually maturing. Cognitive changes expand thinking abilities; social and emotional changes move adolescents…
Descriptors: Middle School Students, After School Programs, Early Adolescents, Student Participation
Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis