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Katherine L. Robershaw; Min Xiao; Baron G. Wolf – Research Management Review, 2024
As data-informed decision-making continues to evolve across multiple disciplines in higher education institutions, and as the role of research administration continues to expand from proposal submissions, compliance, and managing research and development expenditures to a profession with an active partnership with investigators to support…
Descriptors: Literature Reviews, Data Analysis, Research Administration, Institutional Research
Goffin, Evelyn; Janssen, Rianne; Vanhoof, Jan – Review of Education, 2022
Formal achievement data such as test scores and school performance feedback from standardised assessments can be a powerful tool for data-based decision making and school improvement. However, teachers' and school leaders' usage of these data is not necessarily straightforward or predictable. In order to illuminate how educational professionals…
Descriptors: Teacher Attitudes, Administrator Attitudes, Academic Achievement, Data Analysis
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
Dogan, Emine – Journal of Theoretical Educational Science, 2023
This meta-analysis study aimed to examine the effect of data literacy education, which affects databased decision processes, on data use knowledge and skills of school administrators and teachers. Therefore, theses on data literacy education for school administrators and teachers and relevant studies in peer-reviewed journals were examined through…
Descriptors: Meta Analysis, Data Analysis, Information Literacy, Statistics Education
Batool, Saba; Rashid, Junaid; Nisar, Muhammad Wasif; Kim, Jungeun; Kwon, Hyuk-Yoon; Hussain, Amir – Education and Information Technologies, 2023
Educational data mining is an emerging interdisciplinary research area involving both education and informatics. It has become an imperative research area due to many advantages that educational institutions can achieve. Along these lines, various data mining techniques have been used to improve learning outcomes by exploring large-scale data that…
Descriptors: Academic Achievement, Prediction, Data Use, Information Retrieval
Atabek Yigit, Elif; Balkan Kiyici, Fatime; Kiyici, Mübin – International Journal of Technology in Education and Science, 2022
The purpose of this study is to determine the trend in studies related to Science instruction and ICT. The study has been studied with extensive data, and the data mining method has been used. Some articles entered the ERIC database within the research scope and published in January 2020, starting from 1965. In this context, 1,783,418 articles…
Descriptors: Technology Uses in Education, Science Instruction, Literature Reviews, Data Use
Viberg, Olga; Mutimukwe, Chantal; Grönlund, Åke – Journal of Learning Analytics, 2022
Protection of student privacy is critical for scaling up the use of learning analytics (LA) in education. Poorly implemented frameworks for privacy protection may negatively impact LA outcomes and undermine trust in the discipline. To design and implement models and tools for privacy protection, we need to understand privacy itself. To develop…
Descriptors: Privacy, Learning Analytics, Educational Research, Definitions
Ana Stojanov; Ben Kei Daniel – Education and Information Technologies, 2024
The need for data-driven decision-making primarily motivates interest in analysing Big Data in higher education. Although there has been considerable research on the value of Big Data in higher education, its application to address critical issues within the sector is still limited. This systematic review, conducted in December 2021 and…
Descriptors: Higher Education, Learning Analytics, Well Being, Decision Making
Alturki, Sarah; Hulpu?, Ioana; Stuckenschmidt, Heiner – Technology, Knowledge and Learning, 2022
The tremendous growth of educational institutions' electronic data provides the opportunity to extract information that can be used to predict students' overall success, predict students' dropout rate, evaluate the performance of teachers and instructors, improve the learning material according to students' needs, and much more. This paper aims to…
Descriptors: Grade Prediction, Academic Achievement, Data Use, Dropout Rate
Harmon, Timothy – Postsecondary Value Commission, 2021
The Postsecondary Value Commission, in its exploration of return on investment and value of a higher education, desired to better understand the current state of earnings data for states and institutions so that they could effectively measure and understand post-college employment and earnings. To that end, this brief includes a review of research…
Descriptors: Outcomes of Education, Higher Education, College Graduates, Employment Opportunities
Betsy Wolf – Grantee Submission, 2024
The What Works Clearinghouse (WWC) at the Institute of Education Sciences reviews rigorous research on educational practices, policies, programs, and products with a goal of identifying 'what works' and making that information accessible to the public. One critique of the WWC is the need to more closely examine 'what works' for whom, in which…
Descriptors: Data Use, Educational Research, Student Characteristics, Context Effect
Schachter, Rachel E.; Freeman, Donald; Parakkal, Naivedya – Review of Research in Education, 2020
Connecting teachers' perspectives with their practice is an enduring challenge shaping what and how we understand teaching. Researchers tend to bifurcate teachers' work between their private and their public lives. These "worlds" bring particular meanings that are rendered through the analyses of visual documentations of teaching and…
Descriptors: Classroom Research, Data Use, Data Collection, Data Analysis
Harris, Lois; Wyatt-Smith, Claire; Adie, Lenore – Teachers and Teaching: Theory and Practice, 2020
Data walls are a data use practice increasingly being adopted in western, Anglophone countries to display student academic achievement data. The purpose of data walls is to improve teaching and learning by helping teachers and/or students to identify patterns of growth and achievement, set goals, and plan instructional interventions or…
Descriptors: Academic Achievement, Data Use, Teaching Methods, Goal Orientation
Piety, Philip J. – Review of Research in Education, 2019
This chapter reviews actionable data use--both as an umbrella term and as a specific concept--developed in three different traditions that data/information can inform and guide P-20 educational practice toward better outcomes. The literatures reviewed are known as data-driven decision making (DDDM), education data mining (EDM), and learning…
Descriptors: Educational Practices, Data Use, Outcomes of Education, Learning Analytics