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Direct linkJeffrey Buckley; Jeovan A. Araujo; Ifeoluwapo Aribilola; Iram Arshad; Muhammad Azeem; Ciara Buckley; Alison Fagan; Daniel P. Fitzpatrick; Diana A. Garza Herrera; Tomás Hyland; Muhammad Babar Imtiaz; Muhammad Bilal Khan; Eduardo Lanzagorta Garcia; Bhagyabati Moharana; Mohd Sufino Zuhaily Mohd Sufian; Katja Magdalena Osterwald; Joseph Phelan; Anastasia Platonava; Clodagh Reid; Michèle Renard; Laura G. Rodriguez Barroso; Jeremiah Scully; Gilberto Silva Nunes Bezerra; Tomasz Szank; Mehwish Tahir; Mairéad Teehan; Sowmya Vijayakumar; Ismin Zainol – International Journal of Technology and Design Education, 2024
Transparency in the reporting of empirical studies is foundational to a credible knowledge base. Higher levels of transparency, in addition to clarity in writing, also make research more accessible to a diverse readership. Previous research reviewed how transparently reported qualitative, interview-based, studies were in contemporary technology…
Descriptors: Technology Education, Educational Research, Research Methodology, Access to Information
Download full textSabrina D. Stanley; William Boden Robertson – European Journal of Science and Mathematics Education, 2024
This study analyzed articles from the last four years regarding how science education research is framed and discussed as qualitative research. The research question that guided this study was: "To what extent do qualitative secondary science teaching research publications reflect high-quality practices found in mainstream methodological…
Descriptors: Science Education, Qualitative Research, Educational Research, Secondary School Science
Verschuere, Bruno; Bogaard, Glynis; Meijer, Ewout – Applied Cognitive Psychology, 2021
The Verifiability Approach predicts that truth tellers will include details that can be verified by the interviewer, whereas liars will refrain from providing such details. A meta-analysis revealed that truth tellers indeed provided more verifiable details (k = 28, d = 0.49, 95% CI [0.25; 0.74], BF[subscript 10] = 93.28), and a higher proportion…
Descriptors: Deception, Ethics, Credibility, Incentives
Douglas Allchin; Jocelyn Miller; Molly Proudfit – American Biology Teacher, 2024
This paper catalogs previous articles in "American Biology Teacher" on various aspects of teaching about science misinformation and identifies which of the core concepts are addressed in each. A concise overview of relevant themes is provided, along with how the concepts align with the Next Generation Science Standards. This may serve as…
Descriptors: Biology, Science Instruction, Misinformation, Credibility
Fong, Frankie T. K.; Nielsen, Mark; Corriveau, Kathleen H. – Infant and Child Development, 2023
Empirical findings and theorizations of both imitation and selective trust offer different views on and interpretations of children's social learning mechanisms. The imitation literature provides ample documentation of children's behavioural patterns in the acquisition of socially appropriate norms and practices. The selective trust literature…
Descriptors: Imitation, Trust (Psychology), Cognitive Processes, Children
Lily Gao; María Eugenia López-Pérez; Iguácel Melero-Polo; Andreea Trifu – Studies in Higher Education, 2024
Chatbots have transformed educational practices, and ChatGPT represents a significant development in this domain. However, more research is needed to determine how user perceptions influence the overall user experience with ChatGPT. To address this gap, this study investigates the role of ChatGPT, a revolutionary artificial intelligence --…
Descriptors: Learning Experience, Artificial Intelligence, Technology Uses in Education, Usability
Oberlader, Verena A.; Quinten, Laura; Banse, Rainer; Volbert, Renate; Schmidt, Alexander F.; Schönbrodt, Felix D. – Applied Cognitive Psychology, 2021
Content-based techniques for credibility assessment (Criteria-Based Content Analysis [CBCA], Reality Monitoring [RM]) have been shown to distinguish between experience-based and fabricated statements in previous meta-analyses. New simulations raised the question whether these results are reliable revealing that using meta-analytic methods on…
Descriptors: Credibility, Meta Analysis, Bias, Validity
Maggie Albro; Jessica L. Serrao; Christopher D. Vidas; Jenessa M. McElfresh; K. Megan Sheffield; Megan Palmer – portal: Libraries and the Academy, 2024
This article explores the application of journal quality and credibility evaluation tools to library science publications. The researchers investigate quality and credibility attributes of forty-eight peer-reviewed library science journals with open access components using two evaluative tools developed and published by librarians. The results…
Descriptors: Library Science, Periodicals, Access to Information, Librarians
Pekka Mertala; Eleni Moens; Marko Teräs – Learning, Media and Technology, 2024
Citations are valuable capital in the academy as the number of citations is the most frequently used indicator in evaluating the quality of papers, journals, researchers, and universities. Thus, the characteristics of highly cited articles (HCA) have become a common research topic but the approach has been mainly descriptive with no profound…
Descriptors: Credibility, Information Sources, Content Analysis, Media Research
Brannick, Michael T.; French, Kimberly A.; Rothstein, Hannah R.; Kiselica, Andrew M.; Apostoloski, Nenad – Research Synthesis Methods, 2021
Tolerance intervals provide a bracket intended to contain a percentage (e.g., 80%) of a population distribution given sample estimates of the mean and variance. In random-effects meta-analysis, tolerance intervals should contain researcher-specified proportions of underlying population effect sizes. Using Monte Carlo simulation, we investigated…
Descriptors: Meta Analysis, Credibility, Intervals, Effect Size
Carreon, Jonathan R.; Balinas, Elvira S. – Higher Education Policy, 2023
Despite the heated debates on the implementation and its massive impact on the lives of Filipino people, only a dearth of research has been conducted to investigate the free college education project of the Duterte administration. Informed by corpus-based investigation of discourse, this paper critically compares news articles on the free college…
Descriptors: Foreign Countries, Higher Education, News Reporting, Paying for College
Prathiba Natesan Batley; Erica B. McClure; Brandy Brewer; Ateka A. Contractor; Nicholas John Batley; Larry Vernon Hedges; Stephanie Chin – Grantee Submission, 2023
N-of-1 trials, a special case of Single Case Experimental Designs (SCEDs), are prominent in clinical medical research and specifically psychiatry due to the growing significance of precision/personalized medicine. It is imperative that these clinical trials be conducted, and their data analyzed, using the highest standards to guard against threats…
Descriptors: Medical Research, Research Design, Data Analysis, Effect Size
Tong, Guangyu; Guo, Guang – Sociological Methods & Research, 2022
Meta-analysis is a statistical method that combines quantitative findings from previous studies. It has been increasingly used to obtain more credible results in a wide range of scientific fields. Combining the results of relevant studies allows researchers to leverage study similarities while modeling potential sources of between-study…
Descriptors: Meta Analysis, Social Science Research, Regression (Statistics), Statistical Bias
Owen W. Tomlinson – Advances in Physiology Education, 2025
An increase in scholarly publishing has been accompanied by a proliferation of potentially illegitimate publishers (PIPs), commonly known as "predatory publishers." These PIPs often engage in fraudulent practices and publish articles that are not subject to the same scrutiny as those published in journals from legitimate publishers…
Descriptors: Physiology, Publications, Scholarship, Writing (Composition)
Portugal, David; Faria, José N.; Belk, Marios; Martins, Pedro; Constantinides, Argyris; Pietron, Anna; Pitsillides, Andreas; Avouris, Nikolaos; Fidas, Christos A. – Smart Learning Environments, 2023
The worldwide shift to distance learning at Higher Education Institutions (HEIs) during the COVID-19 global pandemic has raised several concerns about the credibility of online academic activities, especially regarding student identity management. Traditional online frameworks cannot guarantee the authenticity of the enrolled student, which…
Descriptors: Identification, Distance Education, College Students, COVID-19
