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Download full textBlazer, Christie – Research Services, Miami-Dade County Public Schools, 2018
Researchers have found that middle school students undergo developmental changes that require unique educational structures and support. As a result, experts have suggested a number of specific strategies for organizing middle schools in order to best meet students' needs. This Information Capsule summarizes middle school redesign initiatives that…
Descriptors: Middle Schools, Middle School Students, Educational Environment, Educational Change
Looby, Karen – Online Submission, 2012
Schoolnet is an instructional tool designed to help AISD staff at all levels to improve student achievement. In 2011-2012, the evaluation focused on system implementation.
Descriptors: School Districts, Program Implementation, Program Effectiveness, Educational Improvement
Sampson, Demetrios G., Ed.; Spector, J. Michael, Ed.; Ifenthaler, Dirk, Ed.; Isaías, Pedro, Ed. – International Association for Development of the Information Society, 2017
These proceedings contain the papers of the 14th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2017), 18-20 October 2017, which has been organized by the International Association for Development of the Information Society (IADIS) and endorsed by the Japanese Society for Information and Systems in…
Descriptors: Conference Papers, Student Journals, Diaries, Self Management
Direct linkKroeger, Steve; Burton, Cathy; Comarata, Andrea; Combs, Cari; Hamm, Christine; Hopkins, Randy; Kouche, Beth – TEACHING Exceptional Children, 2004
A middle school team of teachers addressed the needs of six high risk students through a three-phase educational action research project. The three phases (listening to students, listening to the environment, and reflecting on practices) were overlapping and simultaneous processes. Photovoice and open-ended interviews were used to listen to…
Descriptors: Data Collection, High Risk Students, Intervention, Interviews
Peer reviewedKinch, Carol; Lewis-Palmer, Teri; Hagan-Burke, Shanna; Sugai, George – Education and Treatment of Children, 2001
A study examined the usefulness of information secured from eight students displaying substantially more problem behaviors in one classroom (high-risk) than another, and 16 teachers. Students were able to provide reliable information in the functional assessment interview. Moderate to high agreement was obtained between students and teachers in…
Descriptors: Antisocial Behavior, Behavior Problems, Data Collection, Functional Behavioral Assessment
Peer reviewedChoi, W. Christine – Kappa Delta Pi Record, 2003
Describes a public school model that gives historically underserved urban and rural middle schoolers an improved chance at college and life. KIPP (Knowledge is Power Program) uses a five-pillar plan that focuses on: more time in school; choice and commitment by teachers, parents, and students; power to lead for the school leader; high expectations…
Descriptors: Academic Achievement, Data Collection, Disadvantaged Youth, Instructional Leadership
Carmo, Mafalda, Ed. – Online Submission, 2017
This book contains a compilation of papers presented at the International Conference on Education and New Developments (END 2017), organized by the World Institute for Advanced Research and Science (W.I.A.R.S.). Education, in our contemporary world, is a right since we are born. Every experience has a formative effect on the constitution of the…
Descriptors: Educational Quality, Models, Vocational Education, Outcomes of Education
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection
