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Jihyun Lee; Dennis Alonzo; Kim Beswick; Jan Michael Vincent Abril; Adrian W. Chew; Cherry Zin Oo – Educational Assessment, Evaluation and Accountability, 2024
The current study presents a systematic review of teachers' data literacy, arising from a synthesis of 83 empirical studies published between 1990 to 2021. Our review identified 95 distinct indicators across five dimensions: (a) knowledge about data, (b) skills in using data, (c) dispositions towards data use, (d) data application for various…
Descriptors: Research Reports, Data Analysis, Teacher Collaboration, Faculty Development
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Khulbe, Manisha; Tammets, Kairit – Technology, Knowledge and Learning, 2023
Insights derived from classroom data can help teachers improve their practice and students' learning. However, a number of obstacles stand in the way of widespread adoption of data use. Teachers are often sceptical about the usefulness of data. Even when willing to work with data, they often do not have the relevant skills. Tools for analysis of…
Descriptors: Faculty Development, Learning Analytics, Intervention, Teacher Attitudes
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Odiri, Amatari Veronica – Education Quarterly Reviews, 2019
The primary objective of the study is to examine the level of awareness and usage of data triangulation among under and post graduates in the tertiary institution. A descriptive survey was adopted and data collected from a sample of 114 selected randomly. A self-developed and validated instrument was used to collect data. Data collected were…
Descriptors: Foreign Countries, College Students, Data Use, Data Analysis
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Kurtzke, Simone; Setkute, Justina – Journal of Marketing Education, 2021
As marketing continues to be transformed by technology and the explosion of big data, academic research has identified a significant need for analytics skills in marketing education. However, it is unclear whether current curriculum approaches to marketing analytics equip students with the skills employers need and prepare them effectively for…
Descriptors: Data Analysis, Data Use, Decision Making, Marketing
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Gómez-Torres, Emilse – Statistics Education Research Journal, 2021
This paper describes the evolution of "recognition of need for data" and "strategical thinking", two types of thinking identified by Wild and Pfannkuch in their Framework for Statistical Thinking in Empirical Enquiry, as well as its relevance for math teacher professional development. The research was carried out with ten…
Descriptors: Thinking Skills, Mathematics Teachers, Secondary School Teachers, Data Analysis
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Juškaite, Loreta – International Baltic Symposium on Science and Technology Education, 2019
The new research results on the online- testing method in the Latvian education system for a learning process assessment are presented. Data mining is a very important field in education because it helps to analyse the data gathered in various researches and to implement the changes in the education system according to the learning methods of…
Descriptors: Foreign Countries, Information Retrieval, Data Analysis, Data Use
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López-Belmonte, Jesús; Pozo-Sánchez, Santiago; Fuentes-Cabrera, Arturo; Trujillo-Torres, Juan-Manuel – Education Sciences, 2019
The progress of technology in the field of education has led to the development of new professional skills in the teaching community, such as digital competence. Likewise, it has propagated the appearance of new learning environments mediated by technological resources that favor the generation of a large volume of data, known as Big Data, derived…
Descriptors: Data Analysis, Teacher Competencies, Electronic Learning, Information Storage
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Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use