NotesFAQContact Us
Collection
Advanced
Search Tips
Assessments and Surveys
National Assessment of…1
What Works Clearinghouse Rating
Showing all 13 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Lynne Telesca – Language, Speech, and Hearing Services in Schools, 2024
Purpose: Writing is an essential skill that secondary students need to establish for success in their further education, careers, and lives. However, most secondary students in the United States do not achieve the level of writing proficiency expected to ensure academic and future success. One approach that is emerging more in the research…
Descriptors: Metalinguistics, Writing Instruction, Secondary School Students, Teaching Methods
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Li, Xiaoyu; Xia, Jianping – Science Insights Education Frontiers, 2020
The rise of big data technology provides direction and support for the reform and development of education. Big data technology can realize the inventory management and effective dynamic monitoring of schools, students, and teachers. It is conducive to comprehensively and accurately controlling the development of teaching activities, injecting new…
Descriptors: Foreign Countries, Middle School Students, Data Analysis, Data Collection
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Metz, Kelly K. – Odyssey: New Directions in Deaf Education, 2017
Educators of deaf and hard of hearing students must close the gap that too often exists between a student's grade level and his or her actual achievement. Delays in developing and using English can lead naturally to delays in overall academic performance, and sometimes the gap between the student's grade level and his or her academic performance…
Descriptors: Deafness, Hearing Impairments, Success, Teacher Expectations of Students
Peer reviewed Peer reviewed
Direct linkDirect link
Thompson, Greg; Cook, Ian – Discourse: Studies in the Cultural Politics of Education, 2017
Big Data and Learning Analytics' promise to revolutionise educational institutions, endeavours, and actions through more and better data is now compelling. Multiple, and continually updating, data sets produce a new sense of "personalised learning." A crucial attribute of the datafication, and subsequent profiling, of learner behaviour…
Descriptors: Individualized Instruction, Educational Research, Data Collection, Data Analysis
Canadian Teachers' Federation, 2017
Education systems around the world are now witness to a variety of educational changes and improvements, numerous social and economic disruptions, and the onset of rapid technological advances that were unimaginable in the past. Within this tsunami of change, innovative teaching and learning practices that employ emerging technologies are sweeping…
Descriptors: Educational Technology, Interdisciplinary Approach, Data Collection, Standards
Peer reviewed Peer reviewed
Direct linkDirect link
Dishon, Gideon – Theory and Research in Education, 2017
Personalized learning has become the most notable application of big data in primary and secondary schools in the United States. The combination of big data and adaptive technological platforms is heralded as a revolution that could transform education, overcoming the outdated classroom model, and realizing the progressive vision of…
Descriptors: Data Collection, Data Analysis, Information Utilization, Individualized Instruction
Peer reviewed Peer reviewed
Direct linkDirect link
Deshler, Donald D. – Remedial and Special Education, 2015
In this article, I describe two of our field's most notable advancements for students with high-incidence disabilities. The first has been to enhance our knowledge of how to design effective instructional interactions between teachers and students (in both small and large groups) that lead to dramatic increases in student outcomes. The second area…
Descriptors: Instructional Design, Instructional Improvement, Teacher Student Relationship, Educational Environment
NGA Center for Best Practices, 2012
In fewer than 10 years, states and districts have taken bold steps to build and improve systems that collect data about students, staffing and expenditures, but the data do not often provide adequate information to guide policy and practice. Increasing amounts of data are now available to parents, educators, researchers and policymakers. However,…
Descriptors: Expenditures, Data Collection, Individualized Instruction, Educational Policy
Sterrett, William; Fiddner, Peter; Gilman, Chris – Consortium for Research on Educational Accountability and Teacher Evaluation (NJ1), 2010
Today's building level instructional leader is faced with an enormous challenge in ensuring that all students are meeting end-of-year proficiency targets. The current climate of accountability, particularly in regards to high-stakes end-of-year assessments has placed the burden of assessment upon students, parents, teachers, team or department…
Descriptors: Formative Evaluation, Mathematics Instruction, High Stakes Tests, Student Evaluation
Holovet, Jennifer, Ed.; Guess, Doug, Ed. – 1983
The manual presents 12 papers summarizing research on the effectiveness of the Kansas Individualized Curriculum Sequencing (KICS) model for severely handicapped students. The first three papers examine the effects of distributed practice schedules on the learning, generalization and initiation of students. The use of distributed practice, an…
Descriptors: Data Collection, Drills (Practice), Elementary Secondary Education, Generalization
Antaya-Moore, Dana – Alberta Education, 2008
Drawing on current research and best practices, this second part of the three-part resource, "Supporting Positive Behaviour in Alberta Schools," provides information and strategies for systematically teaching, supporting and reinforcing positive behaviour in the classroom. A proactive approach to classroom management is designed to…
Descriptors: Classroom Techniques, Student Behavior, At Risk Students, Foreign Countries
Gainer, William J. – 1987
This report provides testimony on results of a General Accounting Office (GAO) study of Chapter 1 Compensatory Education programs, Chapter 2 Education Block Grant programs, and dropout prevention programs. The report covers the following: (1) Chapter 1 student selection; (2) Chapter 1 fiscal provisions; (3) Chapter 2 data collection and…
Descriptors: Admission Criteria, Compensatory Education, Data Collection, Dropout Prevention
Jones, Earl, Ed.; Davis, Peter B., Ed. – 1977
The Edgewood Independent School District (San Antonio, Texas), using a mini-system of one high school, one middle school, and four elementary schools, conducted an Experimental Schools Program from 1972-1977 to test a local decision making, long-term innovative program to effect substantial changes in the affective and cognitive characteristics of…
Descriptors: Academic Achievement, Affective Behavior, Bilingual Education, Cognitive Development