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Sharon McDonough; Ron Keamy; Robyn Brandenburg; Mark Selkrig – Asia-Pacific Journal of Teacher Education, 2024
The field of teacher education is subject to intense scrutiny and policy reform and within this context, the voices of those working within the field are often marginalised. Drawing on our larger study of teacher educators, we addressed the key research question: "How do those who work in the field of teacher education articulate and…
Descriptors: Teacher Educators, Educational Practices, Preservice Teacher Education, Data Science
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Lin Lin; Danhua Zhou; Jingying Wang; Yu Wang – SAGE Open, 2024
The rapid development of artificial intelligence has driven the transformation of educational evaluation into big data-driven. This study used a systematic literature review method to analyzed 44 empirical research articles on the evaluation of big data education. Firstly, it has shown an increasing trend year by year, and is mainly published in…
Descriptors: Data Analysis, Educational Research, Geographic Regions, Periodicals
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Qusai Khraisha; Sophie Put; Johanna Kappenberg; Azza Warraitch; Kristin Hadfield – Research Synthesis Methods, 2024
Systematic reviews are vital for guiding practice, research and policy, although they are often slow and labour-intensive. Large language models (LLMs) could speed up and automate systematic reviews, but their performance in such tasks has yet to be comprehensively evaluated against humans, and no study has tested Generative Pre-Trained…
Descriptors: Peer Evaluation, Research Reports, Artificial Intelligence, Computer Software
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Jeffrey Matayoshi; Shamya Karumbaiah – Journal of Educational Data Mining, 2024
Various areas of educational research are interested in the transitions between different states--or events--in sequential data, with the goal of understanding the significance of these transitions; one notable example is affect dynamics, which aims to identify important transitions between affective states. Unfortunately, several works have…
Descriptors: Models, Statistical Bias, Data Analysis, Simulation
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Alysson Lepeut; Emily Shaw – Sign Language Studies, 2024
This article presents the results of a microanalysis of sequences when two or more deaf signers overlap. This contribution focuses on "cooperative overlap" - which consists of extended moments of turn-exchanges that move along the unfolding discourse while cohering interlocutors in relation to each other. This aspect of signed…
Descriptors: Deafness, American Sign Language, Total Communication, Interpersonal Communication
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Daniel A. Mak; Sebastian Dunn; David Coombes; Carlo R. Carere; Jane R. Allison; Volker Nock; André O. Hudson; Renwick C. J. Dobson – Biochemistry and Molecular Biology Education, 2024
Enzymes are nature's catalysts, mediating chemical processes in living systems. The study of enzyme function and mechanism includes defining the maximum catalytic rate and affinity for substrate/s (among other factors), referred to as enzyme kinetics. Enzyme kinetics is a staple of biochemistry curricula and other disciplines, from molecular and…
Descriptors: Biochemistry, Kinetics, Science Instruction, Teaching Methods
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Cary K. Jim; Yvonne Dooley – Journal of Electronic Resources Librarianship, 2024
Digital disparities have been a concern among different communities across the U.S. The lack of an integrated approach to evaluate digital connectivity limits our understanding of where and what the differences are to address digital equity. This research utilized broadband internet open data and other government datasets to evaluate the status of…
Descriptors: Telecommunications, Internet, Access to Computers, Geographic Location
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Juliana Elisa Raffaghelli; Marc Romero Carbonell; Teresa Romeu-Fontanillas – Information and Learning Sciences, 2024
Purpose: It has been demonstrated that AI-powered, data-driven tools' usage is not universal, but deeply linked to socio-cultural contexts. The purpose of this paper is to display the need of adopting situated lenses, relating to specific personal and professional learning about data protection and privacy. Design/methodology/approach: The authors…
Descriptors: Artificial Intelligence, Data Collection, Information Literacy, Intervention
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Bahar Memarian; Tenzin Doleck – Education and Information Technologies, 2024
The development of data science curricula has gained attention in academia and industry. Yet, less is known about the pedagogical practices and tools employed in data science education. Through a systematic literature review, we summarize prior pedagogical practices and tools used in data science initiatives at the higher education level.…
Descriptors: Data Science, Teaching Methods, Literature Reviews, Curriculum Development
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Lucas Vasconcelos; Hengtao Tang; Ismahan Arslan-Ari; Michael M. Grant; Fatih Ari; Yingxiao Qian – Impacting Education: Journal on Transforming Professional Practice, 2024
Practitioner-focused educational doctoral programs have grown substantially in recent years. Dissertations in Practice (DiPs), which are the culminating research report and evaluation method in these programs, differ from traditional PhD dissertations in their focus on addressing a problem of practice and on connecting theories with practice. As…
Descriptors: Doctoral Programs, Online Courses, Asynchronous Communication, Doctoral Dissertations
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Cherise McBride; Clifford H. Lee; Elisabeth Soep – Reading Research Quarterly, 2024
Rapidly developing technological advances have raised new questions about what makes us uniquely human. As data and generative AI become more powerful, what does it mean to learn, teach, create, make meaning, and express ourselves, even as machines are trained to take care of these tasks for us? With youth, and in the context of literacy and media…
Descriptors: Literacy, Media Education, Adolescents, Young Adults
Dan Goldhaber; Nick Huntington-Klein; Nate Brown; Scott Imberman; Katharine O. Strunk – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2024
The COVID-19 pandemic forced widespread school closures and a shift to remote learning. A growing body of research has examined the effects of remote learning on student outcomes. But the accuracy of the school modality measures used in these studies is questionable. The most common measures--based on self-reports or district website…
Descriptors: Handheld Devices, Telecommunications, COVID-19, Pandemics
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Center for Learner Equity, 2024
Collected Biannually since 1968, the Civil Rights Data Collection (CRDC) represents the U.S. Department of Education's most substantial effort to understand data related to students' educational opportunities throughout K-12 schooling, particularly for historically marginalized student populations. Due to the COVID-19 pandemic, the Department…
Descriptors: Students with Disabilities, Elementary Secondary Education, Public Schools, Charter Schools
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Christian Bombara; Ran Duan – Journal of Visual Literacy, 2024
With the widespread use of visuals in the media and the rapid development of visual technologies, media consumers today increasingly face visual information and visual decision-making. Developing visual literacy is thus crucial to empower people to effectively navigate the visual world. This paper uses two studies to describe the development and…
Descriptors: Test Construction, Test Validity, Visual Literacy, Psychometrics
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Bimal Aklesh Kumar; Sailesh Saras Chand; Munil Shiva Goundar – International Journal of Information and Learning Technology, 2024
Purpose: Mobile learning has seen tremendous growth over the years. Like any other software application, usability is one of the key concerns in its successful implementation. There is a lack of study that provides a comprehensive overview of usability testing of mobile learning applications. Motivated by this a mapping study is conducted.…
Descriptors: Usability, Electronic Learning, Computer Software, Computer Oriented Programs
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