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McHenry, William K. – Journal of Information Systems Education, 2022
Students now have readily available and powerful tools to access, manipulate, combine, and visualize data. Acquiring data and visual literacy requires more than knowledge of how to use these tools. Students need to engage with assignments that challenge them to make relatively complex visualizations, interpret them, and explain why these…
Descriptors: Visual Aids, Scoring Rubrics, Feedback (Response), Data Interpretation
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Samaras, Anastasia P.; Frank, Toya Jones; Williams, Monique Apollon; Christopher, Emily; Rodick, William Harry, III. – Studying Teacher Education, 2016
Student feedback collected through program evaluation of secondary education licensure and Master's program clinical experiences prompted us to conduct a collective self-study. We used a reflective framework for analysis and discussion of the shifts students in our courses made as they progressed from observers to practicing teachers. Along with…
Descriptors: Self Evaluation (Groups), Program Improvement, Clinical Experience, Program Evaluation
Tracey, Richard – 1985
Ways to interpret data from student ratings of teacher performance and approaches to maximize the use of student ratings are considered, based on the experiences of the Center for Instructional Development and Research (CIDR) at the University of Washington (UW). The use of student ratings at UW and other colleges is briefly considered, along with…
Descriptors: Data Interpretation, Evaluation Utilization, Graduate Students, Higher Education
Jarrell, Michele E.; And Others – 1989
Procedures used in Doctor of Education (Ed.D.) dissertations at the University of Alabama (Tuscaloosa) were studied. Focus was on identifying: (1) characteristics of the research designs used; (2) sources of the instruments used to collect data; (3) reports of reliability estimates and evidence of validity of the instruments; and (4) types of…
Descriptors: Comparative Analysis, Data Interpretation, Doctoral Dissertations, Doctoral Programs
McNeil, Keith; Blanchard, Charles – 1990
Evaluators usually assume that the data they receive are valid, or at least, that the data reflect that which is being evaluated. In a recent evaluation in a large southern school district, evaluators compared their raw interview notes with interview notes edited by the teachers interviewed or project staff. The program evaluated was Project SEED,…
Descriptors: Bias, Data Collection, Data Interpretation, Elementary Secondary Education