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Maki, Kathrin E.; McGill, Ryan J.; Conoyer, Sarah J.; Fefer, Sarah A.; Ward, Thomas – Journal of Psychoeducational Assessment, 2021
Patterns of strengths and weaknesses represent relatively novel methods for identifying specific learning disabilities (SLD) with proponents asserting that the incorporation of multiple sources of assessment data and professional judgment play a key role in their utility. In this study, we examined if the sequential presentation of assessment data…
Descriptors: Sequential Approach, Data, Learning Disabilities, Disability Identification
Ziying Li; A. Corinne Huggins-Manley; Walter L. Leite; M. David Miller; Eric A. Wright – Educational and Psychological Measurement, 2022
The unstructured multiple-attempt (MA) item response data in virtual learning environments (VLEs) are often from student-selected assessment data sets, which include missing data, single-attempt responses, multiple-attempt responses, and unknown growth ability across attempts, leading to a complex and complicated scenario for using this kind of…
Descriptors: Sequential Approach, Item Response Theory, Data, Simulation
Frey, Regina F.; Fisher, Beth A.; Solomon, Erin D.; Leonard, Denise A.; Mutambuki, Jacinta M.; Cohen, Cheryl A.; Luo, Jia; Pondugula, Santhi – Journal of College Science Teaching, 2016
This article describes a visual approach to integrating observational data into self-evaluation and peer review of teaching, practices that can lead to adoption of evidence-based active-learning strategies in STEM. This approach was designed to be implemented for undergraduate courses across disciplines. The presentation of observational data in a…
Descriptors: Active Learning, Self Evaluation (Individuals), Peer Evaluation, Educational Practices
You Don't Have to Be a Statistician to Use Data: A Process for Data-Based Decision Making in Schools
Flowers, Nancy; Carpenter, Dawn M. H. – Phi Delta Kappan, 2009
Too many educators avoid using data when making decisions because they believe it is too time-consuming to do so. The authors present five steps that make it easier to use data in making school decisions. The first step is to review school improvement plan to identify the most salient issues a school wants to improve. The second step is to…
Descriptors: Educational Improvement, Data Interpretation, Use Studies, Decision Making Skills