NotesFAQContact Us
Collection
Advanced
Search Tips
What Works Clearinghouse Rating
Meets WWC Standards with or without Reservations1
Showing 1 to 15 of 75 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Robin Clausen – Discover Education, 2025
Early Warning Systems (EWS) are research-based analytics that use statistical models to assess dropout risk. School leaders use this analytic to consolidate data about a student and provide actionable data to craft an intervention. Little is currently known about the processes involved in school implementation or data use. By analyzing Montana EWS…
Descriptors: Dropout Prevention, Data Analysis, Principals, School Counselors
Peer reviewed Peer reviewed
Direct linkDirect link
Krista Bixler; Marjorie Ceballos – Leadership and Policy in Schools, 2025
Instructional leadership is a complex dimension, which requires that principals possess expertise in goal setting, leading the instructional program, and creating the conditions for a successful school environment. Effective instructional leaders manage the instructional program by planning, coordinating, and evaluating the work of teachers and…
Descriptors: Principals, Instructional Leadership, Artificial Intelligence, Educational Technology
Peer reviewed Peer reviewed
Direct linkDirect link
Zeynab (Artemis) Mohseni; Italo Masiello; Rafael M. Martins – Education and Information Technologies, 2024
There is a significant amount of data available about students and their learning activities in many educational systems today. However, these datasets are frequently spread across several different digital services, making it challenging to use them strategically. In addition, there are no established standards for collecting, processing,…
Descriptors: Elementary School Students, Data, Individual Development, Learning Trajectories
Peer reviewed Peer reviewed
Direct linkDirect link
Knox, Jeremy – Learning, Media and Technology, 2023
This paper examines ways in which the ethics of data-driven technologies might be (re)politicised, particularly where educational institutions are involved. The recent proliferation of principles, guidelines, and frameworks for ethical 'AI' (artificial intelligence) have emerged from a plethora of organisations in recent years, and seem poised to…
Descriptors: Ethics, Artificial Intelligence, Social Justice, Governance
Peer reviewed Peer reviewed
Direct linkDirect link
Alina Hase; Poldi Kuhl – Educational Technology Research and Development, 2024
Data-based decision-making is a well-established field of research in education. In particular, the potential of data use for addressing heterogeneous learning needs is emphasized. With data collected during the learning process of students, teachers gain insight into the performance, strengths, and weaknesses of their students and are potentially…
Descriptors: Instructional Design, Technology Uses in Education, Journal Articles, Decision Making
Peer reviewed Peer reviewed
Direct linkDirect link
Hongyu Liu; Young Chun Ko – International Journal of Web-Based Learning and Teaching Technologies, 2024
With the development of the information age, the quality of physical education teaching in universities has become an important goal of teaching reform. Improving the quality of physical education and significantly improving students' physical fitness is one of the development goals of higher education. Therefore, this article proposes an…
Descriptors: Physical Education, Higher Education, Educational Quality, Educational Improvement
Sara Clark – ProQuest LLC, 2024
This multiple descriptive case-study explored the perceptions and experiences of eight occupational therapy program academic fieldwork coordinators (AFWCs), regarding their usage of Formstack, as an online fieldwork data collection system. Previous survey research revealed that AFWCs had positive feelings about the new AOTA Fieldwork Performance…
Descriptors: Job Performance, Coordinators, Attitudes, Experience
Peer reviewed Peer reviewed
Direct linkDirect link
Tristan Jiang; Elina Liu; Tasawar Baig; Qingrong Li – New Directions for Higher Education, 2024
This chapter explores the potential of integrating conversational AI tools such as ChatGPT with data visualization (DV) tools such as Power BI in higher education settings. A brief history of chatbots is summarized and challenges and opportunities in higher education are outlined. The highlights include AI's prospects for enhancing data-informed…
Descriptors: Decision Making, Higher Education, Technology Uses in Education, Visual Aids
Peer reviewed Peer reviewed
Direct linkDirect link
Flávio Marques; Leonardo Lignani; João Quadros; Myrna Amorim; Windson Viana; Eduardo Ogasawara; Joel dos Santos – Technology, Knowledge and Learning, 2025
Educational games help reinforce educational concepts. They help students learn through hypothesizing, probing, and reflecting upon the game environment. Understanding the impact of a game is important before deploying it in a class. Recent studies in learning analysis describe methodologies and approaches for analyzing educational games. However,…
Descriptors: Design, Educational Games, Reinforcement, Game Based Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Taub, Michelle; Azevedo, Roger – New Directions for Teaching and Learning, 2023
The goal of this chapter is to propose a cyclical process of how teachers can use multimodal multichannel data of cognitive, affective, metacognitive, motivational, and social processes to assist with the understanding of their own and their students' self-regulated learning (SRL), and their subsequent instructional decision making. What…
Descriptors: Independent Study, Learning Processes, Instructional Design, Decision Making
Peer reviewed Peer reviewed
Direct linkDirect link
McKenzie, Marcia; Gulson, Kalervo N. – Research in Education, 2023
This paper introduces the concept of infrastructure into discussions on climate change and education. We focus on the links between the increased use of digital data and the central role of data infrastructures in education, and the energy infrastructure needed to support their growing use in schools and school systems. We elaborate a need for a…
Descriptors: Data Use, Climate, Educational Administration, Governance
Peer reviewed Peer reviewed
Direct linkDirect link
Selwyn, Neil – Educational Review, 2023
This article examines digital data use within three Australian secondary schools, drawing on in-depth interviews with 50 school staff to explore tensions between: (i) established logics of "data-driven" schooling; and (ii) emerging "datafied" practices associated with digital systems, platforms and devices. Using sociological…
Descriptors: Foreign Countries, Secondary Schools, Elementary Secondary Education, Data Use
Peer reviewed Peer reviewed
Direct linkDirect link
Jelena Andelkovic Labrovic; Nikola Petrovic; Jelena Andelkovic; Marija Meršnik – Journal of Computing in Higher Education, 2025
The focus of this study was on identifying patterns of student behavior to support data-informed decision-making which would then improve the learning experience and learning outcomes of online English language courses. Learning analytics approach (or more specifically cluster analysis) was used to identify engagement patterns in online learning.…
Descriptors: Electronic Learning, Online Courses, Behavior Patterns, Student Behavior
Peer reviewed Peer reviewed
Direct linkDirect link
Hamilton, Valerie; Onder, Yasemin; Andzik, Natalie R.; Reeves, Todd D. – Journal of Psychoeducational Assessment, 2022
Teacher data-driven decision making (DDDM) is a professional practice of great prominence in the current K-12 education system. Moreover, teacher self-efficacy and anxiety around DDDM represent important measurement targets in both research and practice. This study consequently examined the validity, reliability, and invariance of data collected…
Descriptors: Data Use, Decision Making, Anxiety, Self Efficacy
Peer reviewed Peer reviewed
Direct linkDirect link
Drake, Brent M.; Walz, Aaron – New Directions for Institutional Research, 2018
Over the past 20 years, many colleges and universities have made significant progress in building data warehouses and implementing business intelligence tools to provide better access to administrative data that were previously locked away in enterprise systems. However, the data architectures from the 1990s and 2000s are aging as new technologies…
Descriptors: Higher Education, Business, Intelligence, Educational Technology
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4  |  5