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Bart Rienties; John Domingue; Subby Duttaroy; Christothea Herodotou; Felipe Tessarolo; Denise Whitelock – Distance Education, 2025
With the release of Generative AI systems such as ChatGPT, an increasing interest in using Artificial Intelligence (AI) has been observed across domains, including higher education. While emerging statistics show the popularity of using AI amongst undergraduate students, little is yet known about students' perceptions regarding AI including…
Descriptors: Distance Education, Student Attitudes, Artificial Intelligence, Technology Uses in Education
Patricia Hadler – Sociological Methods & Research, 2025
Probes are follow-ups to survey questions used to gain insights on respondents' understanding of and responses to these questions. They are usually administered as open-ended questions, primarily in the context of questionnaire pretesting. Due to the decreased cost of data collection for open-ended questions in web surveys, researchers have argued…
Descriptors: Online Surveys, Discovery Processes, Test Items, Data Collection
Melinda Timea Fülöp; Javier Cifuentes-Faura – Education and Information Technologies, 2025
Sustainable entrepreneurship training is becoming increasingly important in the age of digitalization, as it provides future entrepreneurs with the necessary skills to develop responsible and innovative business models. The analysis shows that effective training in this area must involve digital technologies to convey sustainable practices in a…
Descriptors: Well Being, Student Attitudes, Entrepreneurship, Information Technology
Alexander John Karran; Patrick Charland; Joé Trempe-Martineau; Ana Ortiz de Guinea Lopez de Arana; Anne-Marie Lesage; Sylvain Sénécal; Pierre-Majorique Léger – npj Science of Learning, 2025
Recognising a need to investigate the concerns and barriers to the acceptance of artificial intelligence (AI) in education, this study explores the acceptability of different AI applications in education from a multi-stakeholder perspective, including students, teachers, and parents. Acknowledging the transformative potential of AI, it addresses…
Descriptors: Stakeholders, Artificial Intelligence, Technology Uses in Education, Student Attitudes
Ling Wang; Guochu Liang – International Journal of Web-Based Learning and Teaching Technologies, 2025
The rapid development of online education has underscored the necessity of data-driven teaching functions for enhancing teaching quality and efficiency. This paper investigates the role of data-driven approaches in online education, with a particular focus on the practical application of data for evaluating learning outcomes. It highlights the…
Descriptors: Data Use, Educational Quality, Online Courses, Distance Education
Paul A. Jewsbury; Matthew S. Johnson – Large-scale Assessments in Education, 2025
The standard methodology for many large-scale assessments in education involves regressing latent variables on numerous contextual variables to estimate proficiency distributions. To reduce the number of contextual variables used in the regression and improve estimation, we propose and evaluate principal component analysis on the covariance matrix…
Descriptors: Factor Analysis, Matrices, Regression (Statistics), Educational Assessment
Simon Moss; Line Knudsen; Noémie Bourguignon; Martin Wood – UK Department for Education, 2025
This Technical Annex report sets out methodological and technical notes for the 2024 Technical Education Learner Survey. It accompanies two substantive reports -- 'Technical Education Learner Survey 2024: progression of the 2nd T Level cohort' and 'Technical Education Learner Survey 2024: progression of Level 4/5 learners'. The main body of the…
Descriptors: Foreign Countries, Career and Technical Education, Educational Research, Research Methodology
Larry Katz; Megan Hallam; Zoe Polsky; Michael Duvall; Lisa Finestone; Dave Carlgren – Canadian Journal for the Scholarship of Teaching and Learning, 2025
Interactive student response systems (SRS, clickers) are used in post-secondary classrooms to enhance student engagement and learning. Their use, however, is most often limited to reviewing material with multiple choice questions. The present study examined student responses to a strategy for technology-enhanced learning within an introductory…
Descriptors: Postsecondary Education, Audience Response Systems, Educational Technology, Feedback (Response)
Virginia A. Ressa; Kailey Bunch-Woodson; Eliana Tardio Hurtado; Miki Imura; Kathy Strunk; Sheryl S. Lazarus; Andrew R. Hinkle; Jessica Arnold; Travis Peterson – National Center on Educational Outcomes, 2025
The purpose of this discussion guide is to support SEAs and local education agencies (LEAs) in states with assessment-related State-Identified Measurable Results (SiMRs) in communicating assessment data in ways that are useful to stakeholders, and in improving data literacy among stakeholders so they can meaningfully participate in key State…
Descriptors: Information Dissemination, Data Use, Stakeholders, Information Literacy
Amanda L. Witte; Lisa L. Knoche; Susan M. Sheridan; Natalie Koziol – Grantee Submission, 2025
The use of data to inform instruction has been linked to improved student outcomes, early identification of intervention needs, and teacher decision-making and efficacy. Additionally, data are used as a means of accountability within educational settings. However, little is known about data use practices among early grades teachers. The purpose of…
Descriptors: Early Childhood Teachers, Elementary School Teachers, Preschool Teachers, Data Use
Amanda L. Witte; Lisa L. Knoche; Susan M. Sheridan; Natalie Koziol – Early Childhood Education Journal, 2025
The use of data to inform instruction has been linked to improved student outcomes, early identification of intervention needs, and teacher decision-making and efficacy. Additionally, data are used as a means of accountability within educational settings. However, little is known about data use practices among early grades teachers. The purpose of…
Descriptors: Early Childhood Teachers, Elementary School Teachers, Preschool Teachers, Data Use
Jeff Allen – ACT Education Corp., 2025
ACT annually publishes score norms, also referred to as national ranks, derived from data on the most recent three cohorts of high school graduates who completed the ACT® assessment. These norms are not grade-specific and are calculated using each student's final ACT attempt in Grade 10, 11, or 12. National ranks are displayed on ACT score reports…
Descriptors: College Entrance Examinations, Scores, National Norms, Grade 10
Vincent Cho; Sofia Dueñas – Journal of Educational Research and Practice, 2025
Unbeknownst to many researchers, online surveys can be vulnerable to attacks from bots and generative artificial intelligence (AI), which can generate hundreds of fraudulent responses instantly. Confronting this challenge to data integrity, we employed an adaptive approach to test the effectiveness of various anti-fraud tactics (e.g., CAPTCHA;…
Descriptors: Artificial Intelligence, Online Surveys, Research Methodology, Research Projects
Jaye-Jaye Johnson – Journal of Educational Research and Practice, 2025
Educational technology (EdTech) interoperability throughout cyberspace provides the financial opportunity to collect and sell student privacy information in digital learning environments, challenging school leaders to govern schools and keep children safe. School leaders provide the resources, funding, planning, decision making, and administration…
Descriptors: Educational Technology, Computer Security, Public Schools, Privacy
Guenter, Cris – National Art Education Association, 2019
The teaching performance expectations and assignments that preservice art teachers currently address in field experiences and in their coursework are designed to help them meet the expectations of being a quality art educator in the 21st century. These assignments may be very different from the assignments that art educators had in their…
Descriptors: Data Use, Decision Making, Data Collection, Art Education

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