Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 0 |
Since 2006 (last 20 years) | 1 |
Descriptor
Bayesian Statistics | 3 |
Pretests Posttests | 3 |
Test Items | 3 |
Difficulty Level | 2 |
Models | 2 |
Test Validity | 2 |
Academic Achievement | 1 |
Achievement Tests | 1 |
Artificial Intelligence | 1 |
Automation | 1 |
Classroom Environment | 1 |
More ▼ |
Source
International Working Group… | 1 |
Author
Calders, Toon | 1 |
Conati, Cristina | 1 |
Haladyna, Tom | 1 |
Pechenizkiy, Mykola | 1 |
Perkins, Kyle | 1 |
Roid, Gale | 1 |
Romero, Cristobal | 1 |
Stamper, John | 1 |
Ventura, Sebastian | 1 |
Publication Type
Collected Works - Proceedings | 1 |
Information Analyses | 1 |
Reports - Evaluative | 1 |
Reports - Research | 1 |
Speeches/Meeting Papers | 1 |
Education Level
Higher Education | 1 |
Audience
Location
Netherlands | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Perkins, Kyle – 1987
In this paper four classes of procedures for measuring the instructional sensitivity of reading comprehension test items are reviewed. True experimental designs are not recommended because some of the most important reading comprehension variables do not lend themselves to experimental manipulation. "Ex post facto" factorial designs are…
Descriptors: Bayesian Statistics, Correlation, Elementary Secondary Education, Evaluation Methods
Haladyna, Tom; Roid, Gale – 1980
An empirical review of test items is described as an essential step in criterion-referenced test development. The concept of test items' instructional sensitivity is introduced, and research is briefly reviewed which describes four theoretical contexts in which instructional sensitivity indexes have been observed: criterion-referenced; classical…
Descriptors: Achievement Tests, Bayesian Statistics, Course Objectives, Criterion Referenced Tests
Pechenizkiy, Mykola; Calders, Toon; Conati, Cristina; Ventura, Sebastian; Romero, Cristobal; Stamper, John – International Working Group on Educational Data Mining, 2011
The 4th International Conference on Educational Data Mining (EDM 2011) brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large datasets to answer educational research questions. The conference, held in Eindhoven, The Netherlands, July 6-9, 2011, follows the three previous editions…
Descriptors: Academic Achievement, Logical Thinking, Profiles, Tutoring