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Penuel, William R.; Farrell, Caitliin C.; Daniel, Jula – Teachers College Record, 2020
Background/Context: Research on data and evidence use suggest that productive use depends on interactive processes, including sustained interactions between educators and researchers. Recent research on research-practice partnerships (RPPs) has examined conditions under which these sustained collaborations support evidence use. Findings from these…
Descriptors: Data Use, Dropout Prevention, Educational Research, Partnerships in Education
Grabarek, Jana; Kallemeyn, Leanne M. – Teachers College Record, 2020
Background/Context: The importance attached to practicing data use is evident in its inclusion in federal law, competitive grant programs, state teaching license requirements, and professional development (PD) workshops around the world. Yet, practitioners and scholars have identified misconceptions clouding data use practice, questioned its…
Descriptors: Data Use, Academic Achievement, Educational Improvement, Literature Reviews
Mahmoud, Mai; Dafoulas, Georgios; Abd ElAziz, Rasha; Saleeb, Noha – International Journal of Information and Learning Technology, 2021
Purpose: The objective of this paper is to present a comprehensive review of the literature on learning analytics (LA) stakeholders' expectations to reveal the status of ongoing research in this area and to highlight gaps in research. Design/methodology/approach: Conducting a literature review is a well-known method to establish knowledge and…
Descriptors: Learning Analytics, Stakeholders, Expectation, Higher Education
Eun Ok Baek; Romina Villaflor Wilson – International Journal of Adult Education and Technology, 2024
The emergence of generative AI technologies has provoked considerable debate among educators regarding their role in education. This study is an investigation of the benefits, disadvantages, and potential strategies for integrating generative AI in educational settings by analyzing societal impacts based on a literature review. We have surveyed…
Descriptors: Artificial Intelligence, Technology Uses in Education, Information Technology, Educational Strategies
Lin, Chien-Chang; Huang, Anna Y. Q.; Lu, Owen H. T. – Smart Learning Environments, 2023
Sustainable education is a crucial aspect of creating a sustainable future, yet it faces several key challenges, including inadequate infrastructure, limited resources, and a lack of awareness and engagement. Artificial intelligence (AI) has the potential to address these challenges and enhance sustainable education by improving access to quality…
Descriptors: Artificial Intelligence, Educational Technology, Sustainability, Technology Uses in Education
Asgharzadeh, Asra; Shabaninejad, Hosein; Aryankhesal, Aidin; Majdzadeh, Reza – Evidence & Policy: A Journal of Research, Debate and Practice, 2021
Background: Assessing individual and organisational capacity for evidence use is essential for developing evidence-based strategies. Aims and objectives: This study aimed to assess the psychometric and practical properties of existing tools to assess the capacity to use evidence at the individual and organisational levels of health policy and…
Descriptors: Evidence, Policy Formation, Public Health, Psychometrics
Manco, Alejandra – SAGE Open, 2022
This literature review aims to examine the approach given to open science policy in the different studies. The main findings are that the approach given to open science has different aspects: policy framing and its geopolitical aspects are described as an asymmetries replication and epistemic governance tool. The main geopolitical aspects of open…
Descriptors: Access to Information, Scientific Research, Data Use, Information Policy
Baig, Maria Ijaz; Shuib, Liyana; Yadegaridehkordi, Elaheh – International Journal of Educational Technology in Higher Education, 2020
Big data is an essential aspect of innovation which has recently gained major attention from both academics and practitioners. Considering the importance of the education sector, the current tendency is moving towards examining the role of big data in this sector. So far, many studies have been conducted to comprehend the application of big data…
Descriptors: Educational Research, Educational Trends, Learning Analytics, Student Behavior
Treatment Integrity of Primary (Tier 1) Prevention Efforts in Tiered Systems: Mapping the Literature
Buckman, Mark Mathew; Lane, Kathleen Lynne; Common, Eric Alan; Royer, David James; Oakes, Wendy Peia; Allen, Grant Edmund; Lane, Katie Scarlett; Brunsting, Nelson C. – Education and Treatment of Children, 2021
Treatment integrity is an important component of rigorous educational research. Information about the extent to which an intervention was implemented as planned provides necessary context for interpreting student outcomes. In the context of increasing use of tiered systems in schools, treatment integrity takes on additional practical importance.…
Descriptors: Intervention, Student Needs, Program Effectiveness, Prevention
Wentworth, Laura; Nagaoka, Jenny – Teachers College Record, 2020
Background/Context: The passage of the No Child Left Behind Act in 2002 and the Every Student Succeeds Act in 2015 spurred changes in the way educators use data. On the one hand, the policies inspired educators' awareness of large gaps in achievement between subgroups based on gender, race, and socioeconomic status. On the other hand, the policies…
Descriptors: Dropout Prevention, Educational Innovation, Program Effectiveness, Data Use
Bryant, Rebecca; Fransen, Jan; de Castro, Pablo; Helmstutler, Brenna; Scherer, David – OCLC Online Computer Library Center, Inc., 2021
Research information management (RIM) is a rapidly growing area of investment in US research universities. RIM systems that support the collection and use of research outputs metadata have been in place for many years. Globally, the RIM ecosystem is quite mature in locales where national research assessment exercises like the United Kingdom's…
Descriptors: Research Universities, Information Management, Metadata, Data Use
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
Murchan, Damian; Siddiq, Fazilat – Large-scale Assessments in Education, 2021
Analysis of user-generated data (for example process data from logfiles, learning analytics, and data mining) in computer-based environments has gained much attention in the last decade and is considered a promising evolving field in learning sciences. In the area of educational assessment, the benefits of such data and how to exploit them are…
Descriptors: Ethics, Federal Regulation, Learning Analytics, Data Use
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

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