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Kurz, Alexander; Elliott, Stephen N.; Roach, Andrew T. – Remedial and Special Education, 2015
Response-to-intervention (RTI) systems posit that Tier 1 consists of high-quality general classroom instruction using evidence-based methods to address the needs of most students. However, data on the extent to which general education teachers provide such instruction are rarely collected. This missing instructional data problem may result in RTI…
Descriptors: Response to Intervention, Data, Data Collection, Special Education
Walker, A. Adrienne; Engelhard, George, Jr. – Measurement: Interdisciplinary Research and Perspectives, 2014
"Game-Based Assessments: A Promising Way to Create Idiographic Perspectives" (Adrienne Walker and George Englehard) comments on: "How Task Features Impact Evidence from Assessments Embedded in Simulations and Games" by Russell G. Almond, Yoon Jeon Kim, Gertrudes Velasquez, and Valerie J. Shute. Here, Walker and Englehard write…
Descriptors: Educational Games, Task Analysis, Models, Educational Assessment
Tempelaar, Dirk T.; Rienties, Bart; Nguyen, Quan – IEEE Transactions on Learning Technologies, 2017
Studies in the field of learning analytics (LA) have shown students' demographics and learning management system (LMS) data to be effective identifiers of "at risk" performance. However, insights generated by these predictive models may not be suitable for pedagogically informed interventions due to the inability to explain why students…
Descriptors: Student Behavior, Integrated Learning Systems, Personality, Educational Research
National Assessment of Educational Progress (NAEP), 2017
The National Assessment of Education Progress (NAEP) is the largest continuing and nationally representative assessment of what the nation's students know and can do in subjects such as civics, geography, mathematics, reading, U.S. history, and writing. The results of NAEP are released as The Nation's Report Card. NAEP is a congressionally…
Descriptors: National Competency Tests, Computer Assisted Testing, Grade 4, Grade 8
Romero-Zaldivar, Vicente-Arturo; Pardo, Abelardo; Burgos, Daniel; Delgado Kloos, Carlos – Computers & Education, 2012
The interactions that students have with each other, with the instructors, and with educational resources are valuable indicators of the effectiveness of a learning experience. The increasing use of information and communication technology allows these interactions to be recorded so that analytic or mining techniques are used to gain a deeper…
Descriptors: Academic Achievement, Prediction, Learning Experience, Data
Howe, Quincy – Educational Horizons, 2006
In this article, the author relates how a math-assessment software has allowed his school to track the academic progress of its students. The author relates that in the first year that the software was deployed, schoolwide averages in terms of national standing on the math ITBS rose from the 42nd to 59th percentile. In addition, a significant…
Descriptors: Computer Software, Standardized Tests, Academic Achievement, Mathematics Achievement
Kelly-Benjamin, Kathleen – 1995
Instructional technology can help teachers formalize alternative methods of assessment. It allows them to record and report on student performance more fully and more dynamically. This paper discusses tools and methodologies used by a group called Teachers Using Technology to Measure Mathematics Meaningfully as they expanded their repertoire of…
Descriptors: Academic Achievement, Alternative Assessment, Computer Uses in Education, Data Collection
New York Univ., NY. Inst. for Education and Social Policy. – 1998
This report describes some of the major New York City Board of Education automated data collection systems and databases, and the ways in which information about individual students in these databases is collected from the schools, aggregated by staff in different central Board of Education offices, and used in school- and district-level reports.…
Descriptors: Academic Achievement, Academic Records, Bilingual Education, Computer Uses in Education
Jerald, Craig D. – Center for Comprehensive School Reform and Improvement, 2006
This is the fifth in a series of issue briefs to be written for The Center for Comprehensive School Reform and Improvement during 2006. In this brief, author Craig Jerald highlights research collected in the July 2005 special issue of the "Journal of Education for Students Placed at Risk" to argue for collecting and using data to…
Descriptors: High Risk Students, Academic Achievement, Data Collection, Research Utilization
Ligon, Glynn; Mangino, Evangelina – 1991
Issues related to achieving adequate national norms are reviewed, and a new methodology is proposed that would work to provide a true measure of national achievement levels on an annual basis and would enable reporting results in current-year norms. Statistical methodology and technology could combine to create a national norming process that…
Descriptors: Academic Achievement, Computer Uses in Education, Data Analysis, Data Collection
Mergendoller, John R.; And Others – 1993
With the Utah Educational Technology Initiative (ETI), the State has increased its commitment to educational technology. The evaluation of the Utah ETI is built around the concept of portfolio analysis, an evaluation method that incorporates the collection of diverse types of data and enables a number of types of evidence to be used to gauge…
Descriptors: Academic Achievement, Computer Uses in Education, Data Collection, Educational Policy
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
Ligon, Glynn; Baenen, Nancy R. – 1990
GENESYS is the GENeric Evaluation SYStem of the Office of Research and Evaluation, Austin (Texas) Independent School District. It is a method of streamlining data collection and evaluation for a variety of projects. GENESYS gathers data from the school system's data bases and reports the following information (characteristics and outcomes) on…
Descriptors: Academic Achievement, Attendance, Computer Uses in Education, Credits
Vanneman, Alan – Focus on NAEP, 1997
The National Assessment of Educational Progress (NAEP) has been collecting data on student achievement since 1969. It currently maintains three different assessments: long-term trends, cross-sectional national, and cross-sectional state-by-state data. Although the data are available to researchers outside the Federal Government, limited use has…
Descriptors: Academic Achievement, Computer Software, Computer Software Evaluation, Computer Uses in Education
Stapleton, Julia A. – 1987
Software and computer management systems that enable educators to manage the monitoring of student progress in acquiring skills for the High School Proficiency Test (HSPT) and other standardized tests used in New Jersey schools are described in this study. Focus is on the data collection components for student skill proficiency using the computer…
Descriptors: Academic Achievement, Achievement Tests, Basic Skills, Computer Managed Instruction
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