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Nina Zipser; Lisa Mincieli – Studies in Higher Education, 2025
This paper presents a framework for utilizing Student Evaluations of Teaching (SET) in faculty evaluations. Recognizing the ongoing debate about the validity of SET as a measure of teaching effectiveness, the authors agree with scholars who propose viewing SET as a tool for gauging 'student perceptions of learning'. They present a method that…
Descriptors: College Faculty, Faculty Evaluation, Student Evaluation of Teacher Performance, Evaluation Criteria
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Hanne Poelmans; Luciana Sacchetti; Sadia Vancauwenbergh; Stefano Piazza – Quality in Higher Education, 2024
World university rankings have had an impact on academic competition worldwide. The comparability of ranking results depends on how data is collected within each university. When data concepts are interpreted differently, data variety is introduced and ranking results cannot be used in a meaningful manner. In this case study, the effect of…
Descriptors: Foreign Countries, Universities, Rating Scales, Institutional Evaluation
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Toubassi, Diana; Schenker, Carly; Roberts, Michael; Forte, Milena – Advances in Health Sciences Education, 2023
Trainee distress and burnout continue to be serious concerns for educational programs in medicine, prompting the implementation of numerous interventions. Although an expansive body of literature suggests that the experience of meaning at work is critical to professional wellbeing, relatively little attention has been paid to how this might be…
Descriptors: Medical Students, Professional Identity, Individual Development, Well Being
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Margaret Marchant; Ethan Eliason – Journal of Education for Business, 2024
Undergraduate economics programs prepare students for future careers by developing competency working with data, or "data literacy." Our research examined the data literacy components of undergraduate economics programs at R1 and R2 universities in the United States (N = 190). We developed a protocol with core data skills and coded…
Descriptors: Undergraduate Students, Economics Education, Data Collection, Data Interpretation
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Ali Kürsat Erümit; Hasan Yigit Cebeci; Sefa Özmen – TechTrends: Linking Research and Practice to Improve Learning, 2024
Although big data applications in education have different usage areas, they can make important contributions to the evaluation of universities and education systems, decision-making and strategy development, and improvement of the education system. In this study, which is considered to contribute to the academicians who will work on big data in…
Descriptors: Data Use, Higher Education, Bibliometrics, Educational Research
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Safiye Temel-Aslan; Hulya Ertas-Kilic; Melihan Unlu; Betul Keray-Dincel – Science Insights Education Frontiers, 2024
Data literacy, which is considered among 21st century skills, is becoming increasingly important. In particular, incentives for data-driven decision-making draw attention to data literacy. Data literacy is also critical for teachers who need to use data in educational settings. Therefore, there is a need for data on whether teachers are equipped…
Descriptors: Data Use, Data Interpretation, Literacy, 21st Century Skills
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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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Iva Božovic – Journal of Political Science Education, 2024
This work reports on the implementation of a self-contained data-literacy exercise designed for use in undergraduate classes to help students practice data literacy skills such as interpreting and evaluating evidence and assessing arguments based on data. The exercises use already developed data-visualizations to test and develop students' ability…
Descriptors: Data Use, Teaching Methods, Data, Information Literacy
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Semih Sait Yilmaz; Ayse Collins; Seyid Amjad Ali – European Journal of Education, 2024
In response to the COVID-19 pandemic, an abrupt wave of digitisation and online migration swept the higher education institutions around the globe. In the aftermath of this digital transformation which endures as the legacy of the pandemic, what lacks in knowledge is how effective the anti-COVID measures were in maintaining quality education.…
Descriptors: Foreign Countries, Artificial Intelligence, Higher Education, COVID-19
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Amanda M. Rudolph; Shaqwana Freeman-Green; Laurel Byrne; Emma Savage-Davis; Lianne M. Jones; Jamia Thomas-Richmond – New Educator, 2024
Milner (2012) defines opportunity gaps as the uncontrollable factors such as race, language, or economic status that can impact students' success in schools. Rather than placing focus on students' achievement, examinations of opportunity gaps emphasize the systems and structures that may contribute to disparities in student outcomes. The…
Descriptors: College Freshmen, First Year Seminars, Career Choice, Teacher Shortage
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Jennifer Hill; George Perrett; Stacey A. Hancock; Le Win; Yoav Bergner – Statistics Education Research Journal, 2024
Most current statistics courses include some instruction relevant to causal inference. Whether this instruction is incorporated as material on randomized experiments or as an interpretation of associations measured by correlation or regression coefficients, the way in which this material is presented may have important implications for…
Descriptors: Statistics Education, Causal Models, Statistical Inference, College Students
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Victoria L. Cross; Megan N. Imundo; Courtney M. Clark; Melissa Paquette-Smith – Psychology Learning and Teaching, 2024
Learning to interpret visual representations of data is an important step towards becoming an informed consumer of research. The current study assesses the effectiveness of two versions of a scaffolded online module in improving students' ability to identify main effects and interactions in 2 × 2 factorial designs. Across two experiments (N =…
Descriptors: Undergraduate Students, Cooperative Learning, Statistics Education, Psychology
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Tolga Gök – Journal of Science Learning, 2023
Graphic interpretation is as critical in physics education as problem-solving. However, we know that today's classes focus more on problem-solving. This study uses a survey to determine college students' graphic interpretation skills. The study consists of two phases. The first phase includes the development and statistical analysis of the survey.…
Descriptors: College Students, Graphs, Data Interpretation, Interpretive Skills
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Dana AlZoubi; Evrim Baran – Journal of Learning Analytics, 2024
There is a growing interest in the research and use of automated feedback dashboards that display classroom analytics; yet little is known about the detailed processes instructors use to make sense of these tools, and to determine the impact on their teaching practices. This research was conducted at a public Midwestern university within the…
Descriptors: Learning Analytics, College Faculty, Technology Uses in Education, Educational Technology
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Marta Romero Ariza; Antonio Quesada Armenteros; Antonio Estepa Castro – European Journal of Teacher Education, 2024
A shift from teaching to learn to learning to think is necessary to promote critical thinkers. Since teachers tend to replicate the educational models they have experienced as students, new references are needed. In order to address these concerns, we present an interdisciplinary intervention in initial teacher education and analyse its impact on…
Descriptors: Critical Thinking, Teacher Education, Climate, Preservice Teachers
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