Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 4 |
Descriptor
Source
Diagnostique | 2 |
British Educational Research… | 1 |
Canadian Journal of… | 1 |
Computers and Education | 1 |
International Association for… | 1 |
Measurement:… | 1 |
Office of Educational… | 1 |
Author
Publication Type
Journal Articles | 6 |
Opinion Papers | 3 |
Reports - Evaluative | 3 |
Reports - Descriptive | 2 |
Numerical/Quantitative Data | 1 |
Reports - Research | 1 |
Education Level
Elementary Education | 1 |
Elementary Secondary Education | 1 |
Grade 8 | 1 |
Junior High Schools | 1 |
Middle Schools | 1 |
Secondary Education | 1 |
Audience
Researchers | 8 |
Practitioners | 4 |
Policymakers | 1 |
Location
Canada | 1 |
Chile | 1 |
Denmark | 1 |
Finland | 1 |
France | 1 |
Germany | 1 |
Italy | 1 |
Kazakhstan | 1 |
Luxembourg | 1 |
Portugal | 1 |
South Korea | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Choi, Youn-Jeng; Asilkalkan, Abdullah – Measurement: Interdisciplinary Research and Perspectives, 2019
About 45 R packages to analyze data using item response theory (IRT) have been developed over the last decade. This article introduces these 45 R packages with their descriptions and features. It also describes possible advanced IRT models using R packages, as well as dichotomous and polytomous IRT models, and R packages that contain applications…
Descriptors: Item Response Theory, Data Analysis, Computer Software, Test Bias
Fraillon, Julian, Ed.; Ainley, John, Ed.; Schulz, Wolfram, Ed.; Friedman, Tim, Ed.; Duckworth, Daniel, Ed. – International Association for the Evaluation of Educational Achievement, 2020
IEA's International Computer and Information Literacy Study (ICILS) 2018 investigated how well students are prepared for study, work, and life in a digital world. ICILS 2018 measured international differences in students' computer and information literacy (CIL): their ability to use computers to investigate, create, participate, and communicate at…
Descriptors: International Assessment, Computer Literacy, Information Literacy, Computer Assisted Testing
Means, Barbara; Anderson, Kea – Office of Educational Technology, US Department of Education, 2013
This report describes how big data and an evidence framework can align across five contexts of educational improvement. It explains that before working with big data, there is an important prerequisite: the proposed innovation should align with deeper learning objectives and should incorporate sound learning sciences principles. New curriculum…
Descriptors: Educational Technology, Technology Uses in Education, Educational Resources, Individualized Instruction
Topping, K. J.; Samuels, J.; Paul, T. – British Educational Research Journal, 2008
To explore whether different balances of fiction/non-fiction reading and challenge might help explain differences in reading achievement between genders, data on 45,670 pupils who independently read over 3 million books were analysed. Moderate (rather than high or low) levels of challenge were positively associated with achievement gain, but…
Descriptors: Independent Reading, Reading Achievement, Achievement Gains, Gender Differences
Maddux, Cleborne D. – Diagnostique, 1989
There are several points to be considered to prevent misuse when integrating microcomputing into the assessment process. Computerizing an activity does not automatically improve that activity. Computer use is appropriate for computing test scores and storing student data but not for interpreting data. (JDD)
Descriptors: Computer Assisted Testing, Computer Uses in Education, Data Analysis, Elementary Secondary Education
Johnson, D. Lamont; Harlow, Steven D. – Diagnostique, 1989
The computer can be incorporated into educational assessment at two levels: clerical work such as scoring, converting scores, administering test items, and organizing data into manageable profiles; and expanding horizons and deepening the understanding of what is important to measure and how best to measure it through expert systems and new…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Computer Uses in Education, Data Analysis

Tait, K.; Hughes, I. E. – Computers and Education, 1984
Describes a computerized system which presents objective test items to students, and upon question completion, provides immediate feedback with correct answers and explanations. Use of the system by pharmacology students and an analysis of end-of-year examination results are presented. (Author/MBR)
Descriptors: Computer Assisted Instruction, Computer Assisted Testing, Computer Software, Data Analysis

Kinser, W.; Pear, J. J. – Canadian Journal of Educational Communication, 1988
Describes a computer-aided personalized system of instruction (CAPSI) and its implementations for both on-campus and off-campus teaching at the University of Manitoba. Highlights include electronic mail, student reactions, the use of data that are saved throughout the course, and future possibilities. (Author/LRW)
Descriptors: Computer Assisted Instruction, Computer Assisted Testing, Data Analysis, Developed Nations