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Flannery, K. Brigid; Kato, Mimi McGrath; Horner, Robert H. – Technical Assistance Center on Positive Behavioral Interventions and Supports, 2019
Using data for decision-making is critical for schoolwide leadership teams and has been shown to enhance both social and academic outcomes for students (Faria et al., 2017). Using data effectively, however, requires that teams have a clear vision about the type of data, format of data presentation, and process for using data. To avoid expending…
Descriptors: High School Students, Data Use, Outcomes of Education, Positive Behavior Supports
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Santiago Berrezueta Ed. – Lecture Notes in Educational Technology, 2023
The proceedings of the 18th edition of Latin American Conference on Learning Technologies (LACLO) demonstrates the developments in the research of learning science, learning resources, challenges and solutions. This Proceedings book showcases a collection of quality articles that explores and discusses trending topics in education in the upcoming…
Descriptors: Educational Technology, Active Learning, Design, Telecommunications
Healthy Schools Campaign, 2017
Chronic absenteeism is most commonly defined as missing 10 percent or more of school days for any reason. Chronic absenteeism is a proven early warning sign of academic risk and school dropout. While the causes of chronic absenteeism are multifold, research shows that student health and a school's health and wellness environment are key factors…
Descriptors: Federal Legislation, Educational Legislation, Elementary Secondary Education, Attendance
Kelley, Julie B. – ProQuest LLC, 2015
Self-regulated learning is an elaborate metacognitive process consisting of an individual's awareness of the thought process, flexibility in one's approach to problem solving, and motivation to persist through obstacles until a goal has been met. Strategies and instructional practices used to develop mathematically proficient thinkers also develop…
Descriptors: Mathematics, Mathematics Instruction, Mathematics Education, Metacognition
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Chung, Gregory K. W. K. – Teachers College Record, 2014
Background: Historically, significant advances in scientific understanding have followed advances in measurement and observation. As the resolving power of an instrument increased, so have gains in the understanding of the phenomena being observed. Modern interactive systems are potentially the new "microscopes" when they are…
Descriptors: Online Systems, Data Analysis, Data Collection, Data Interpretation
Ollerton, Mike – Mathematics Teaching, 2010
In this article, the author explores what Assessing Pupils' Progress (APP) is about. He contends that the predilection for testing is a catastrophe as far as the teaching and learning of mathematics is concerned; it is an outcome of the drive for collecting so-called "data" on pupils. What those people, who should know better, either choose to…
Descriptors: Mathematics Education, Testing, Students, Data Collection
Tomal, Daniel R. – Rowman & Littlefield Publishers, Inc., 2010
This book is a straightforward, no-nonsense guide to a research method that can be used by educators to increase student learning, student self-esteem, and quality of school life in the classroom. This user-friendly book covers the principles and history of action research, ethical and legal considerations, methods for conducting both formal and…
Descriptors: Educational Research, Action Research, Data Collection, Elementary Secondary Education
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Throndsen, Inger – British Journal of Educational Psychology, 2011
Background: Several studies have examined young primary school children's use of strategies when solving simple addition and subtraction problems. Most of these studies have investigated students' strategy use as if they were isolated processes. To date, we have little knowledge about how math strategies in young students are related to other…
Descriptors: Self Efficacy, Academic Achievement, Program Effectiveness, Mathematics Skills
Bernhardt, Victoria L. – Eye on Education, 2009
This book is an easy-to-read primer that describes what it takes to increase student achievement at every grade level, subject area, and student group. Readers will learn how to use data to drive their continuous improvement process as they develop an appreciation of the various types of data, uses for data, and how data are involved with the…
Descriptors: Self Evaluation (Individuals), Vision, Data Analysis, Educational Improvement
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Newby, Michael; Marcoulides, Laura D. – International Journal of Educational Management, 2008
Purpose: The purpose of this paper is to model the relationship between student performance, student attitudes, and computer laboratory environments. Design/methodology/approach: Data were collected from 234 college students enrolled in courses that involved the use of a computer to solve problems and provided the laboratory experience by means of…
Descriptors: Student Attitudes, Structural Equation Models, Computer Attitudes, Educational Administration
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Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
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Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
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Ojose, Bobby – International Education Studies, 2009
This study was conducted to examine the promising practice of using technology in teaching math and science in a charter high school in California. The research employed an in-depth qualitative case study method. The main participants were principals, lead teachers, teachers, and support staff. Interviews, observations, and archival documents were…
Descriptors: Charter Schools, High Schools, Mathematics Instruction, Science Instruction
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Harlen, Wynne – Education 3-13, 1976
Approaches children's learning in learning science based on skilled observation by professional teachers, rather than on tests devised by outside agencies. (Editor/RK)
Descriptors: Academic Achievement, Check Lists, Data Collection, Information Needs
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Leighton, Jacqueline P. – Educational Measurement: Issues and Practice, 2004
The collection of verbal reports is one way in which cognitive and developmental psychologists gather data to formulate and corroborate models of problem solving. The current use of verbal reports to design and validate educational assessments reflects the growing trend to fuse cognitive psychological research and educational measurement. However,…
Descriptors: Psychologists, Misconceptions, Measurement Techniques, Developmental Psychology
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