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) | 3 |
Descriptor
Computer Assisted Testing | 4 |
Models | 4 |
Predictive Validity | 4 |
Correlation | 3 |
Computer Assisted Instruction | 2 |
Educational Technology | 2 |
Evaluation Methods | 2 |
Measurement Techniques | 2 |
Prediction | 2 |
Scoring | 2 |
Web Based Instruction | 2 |
More ▼ |
Author
Dawson, Shane | 1 |
Gobert, Janice D. | 1 |
James, Cindy L. | 1 |
Kalisch, Stanley J. | 1 |
Koedinger, Kenneth R. | 1 |
Macfadyen, Leah P. | 1 |
Publication Type
Journal Articles | 2 |
Reports - Research | 2 |
Reports - Evaluative | 1 |
Education Level
Elementary Secondary Education | 1 |
Grade 8 | 1 |
Higher Education | 1 |
Middle Schools | 1 |
Postsecondary Education | 1 |
Audience
Location
Massachusetts | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Gobert, Janice D.; Koedinger, Kenneth R. – Society for Research on Educational Effectiveness, 2011
The National frameworks for science emphasize inquiry skills (NRC, 1996), however, in typical classroom practice, science learning often focuses on rote learning in part because science process skills are difficult to assess (Fadel, Honey, & Pasnick, 2007) and rote knowledge is prioritized on high-stakes tests. Short answer assessments of…
Descriptors: Performance Based Assessment, Predictive Validity, High Stakes Tests, Rote Learning
Macfadyen, Leah P.; Dawson, Shane – Computers & Education, 2010
Earlier studies have suggested that higher education institutions could harness the predictive power of Learning Management System (LMS) data to develop reporting tools that identify at-risk students and allow for more timely pedagogical interventions. This paper confirms and extends this proposition by providing data from an international…
Descriptors: Network Analysis, Academic Achievement, At Risk Students, Prediction
James, Cindy L. – Assessing Writing, 2006
How do scores from writing samples generated by computerized essay scorers compare to those generated by ''untrained'' human scorers and what combination of scores, if any, is more accurate at placing students in composition courses? This study endeavored to answer this two-part question by evaluating the correspondence between writing sample…
Descriptors: Writing (Composition), Predictive Validity, Scoring, Validity
Kalisch, Stanley J. – Journal of Computer-Based Instruction, 1974
A tailored testing model employing the beta distribution, whose mean equals the difficulty of an item and whose variance is approximately equal to the sampling variance of the item difficulty, and employing conditional item difficulties, is proposed. (Author)
Descriptors: Adaptive Testing, Computer Assisted Testing, Evaluation Methods, Item Analysis