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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
Van Gasse, Roos – Frontline Learning Research, 2019
In recent years, the emphasis on interaction in data use has grown because of its potential to support individual teachers. However, in practice, teachers do not appear to interact widely in their use of data, either formally or informally. To gain knowledge of how sustainable data use interactions can be facilitated, this study investigated how…
Descriptors: Staff Meetings, Data Use, Teacher Attitudes, Interaction
Data Literacy on the Road: Setting up a Large-Scale Data Literacy Initiative in the Databuzz Project
Seymoens, Tom; Van Audenhove, Leo; Van den Broeck, Wendy; Mariën, Ilse – Journal of Media Literacy Education, 2020
This paper presents "the DataBuzz Project." "DataBuzz" is a high-tech, mobile educational lab, which is housed in a 13-meter electric bus. Its specific goal is to increase the data literacy of different segments of society in the Brussels region through inclusive and participatory games and workshops. In this paper, we will…
Descriptors: Data Analysis, Literacy, Program Descriptions, Laboratories
Lem, Stephanie; Onghena, Patrick; Verschaffel, Lieven; Van Dooren, Wim – Educational Psychology, 2013
Recent studies have shown that the interpretation of graphs is not always easy for students. In order to reason properly about distributions of data, however, one needs to be able to interpret graphical representations of these distributions correctly. In this study, we used Tversky's principles for the design of graphs to explain how 125…
Descriptors: Graphs, Data Interpretation, College Freshmen, Design
Vanhoof, Jan; Verhaeghe, Goedele; Verhaeghe, Jean Pierre; Valcke, Martin; Van Petegem, Peter – Educational Studies, 2011
Information-rich environments are created to promote data use in schools for the purpose of self-evaluation and quality assurance. However, providing feedback does not guarantee that schools will actually put it to use. One of the main stumbling blocks relates to the interpretation and diagnosis of the information. This study examines the…
Descriptors: Feedback (Response), Quality Control, Principals, Data Interpretation
Akyuz, Gozde; Berberoglu, Giray – New Horizons in Education, 2010
Background: Teacher-related factors such as gender, experience, conceptions related to mathematics, instructional practices have effects with various magnitudes on students' mathematics achievement. Classroom related factors such as class size, class climate and limitations to teaching and their relation to mathematics achievement have also been…
Descriptors: Mathematics Achievement, Academic Achievement, Foreign Countries, Teaching Methods
Schutz, Gabriela; West, Martin R.; Wobmann, Ludger – OECD Publishing (NJ1), 2007
School systems aspire to provide equal opportunity for all, irrespective of socio-economic status (SES). Much of the criticism of recent school reforms that introduce accountability, autonomy, and choice emphasizes their potentially negative consequences for equity. This report provides new evidence on how national features of accountability,…
Descriptors: Academic Achievement, Exit Examinations, Foreign Countries, Accountability