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Feng, Tianying; Chung, Gregory K. W. K. – Grantee Submission, 2022
A critical issue in using fine-grained gameplay data to measure learning processes is the development of indicators and the algorithms used to derive such indicators. Successful development--that is, developing traceable, interpretable, and sensitive-to-learning indicators--requires understanding the underlying theory, how the theory is…
Descriptors: Games, Data Collection, Learning Processes, Measurement
Grantee Submission, 2022
Systems for learning and producing knowledge, such as career and technical education (CTE), often reproduce inequities unless an equity-focused lens is used when designing, implementing, and evaluating programs. This framework presents guidance for conducting CTE research with an intentional focus on equity. Developed by the CTE Research Network's…
Descriptors: Equal Education, Vocational Education, Educational Research, Program Administration
McLeod, Bryce D.; Jensen-Doss, Amanda; Lyon, Aaron R.; Douglas, Susan; Beidas, Rinad S. – Grantee Submission, 2022
Mental health organizations that serve youth are under pressure to adopt measurement-based care (MBC), defined as the continuous collection of client-report data used to support clinical decision making as part of standard care. However, few frameworks exist to help leadership ascertain how to select an MBC approach for a clinical setting. This…
Descriptors: Mental Health Programs, Measurement, Evidence Based Practice, Youth
McLaughlin, Tara W.; Snyder, Patricia A.; Algina, James – Grantee Submission, 2017
The Learning Target Rating Scale (LTRS) is a measure designed to evaluate the quality of teacher-developed learning targets for embedded instruction for early learning. In the present study, we examined the measurement dependability of LTRS scores by conducting a generalizability study (G-study). We used a partially nested, three-facet model to…
Descriptors: Generalizability Theory, Scores, Rating Scales, Evaluation Methods