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Kun Wang – International Journal of Web-Based Learning and Teaching Technologies, 2025
This study investigates the development and implementation of a big data-driven English ecological classroom teaching model, aiming to reform university English instruction in alignment with contemporary technological advancements. The conventional teaching framework, often limited to textbooks and in-class activities, has been shown to…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Learner Engagement
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Sandra Vecchio – Teaching Science, 2025
Being able to learn from failure is a fundamental skill for a scientist, as scientists often learn from failure in practical work by trialling and refining experimental designs, improving calibration techniques, and hypothesising and testing expected outcomes. This qualitative, practice-based study describes how junior secondary science teachers…
Descriptors: Seismology, Failure, Secondary School Science, Science Teachers
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Danielle Mireles; Claudia Chiang-Lopez – Journal of Postsecondary Education and Disability, 2025
This article examines how carceral logics manifest for undergraduate racialized and disabled students who identify as or have a lived experience of disability. Using Disability Critical Race Theory, a crip-of-color critique, and carceral ableism and sanism as lenses, we challenge color-evasive ideology and explore how services that purport to…
Descriptors: Undergraduate Students, Students with Disabilities, Critical Race Theory, Attitudes toward Disabilities
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Abhiru Chathurma Elaphatha; Meran Keshawa Ediriweera – Biochemistry and Molecular Biology Education, 2025
Glycosylation is a biologically significant post-translational modification (PTM) of proteins that involves the covalent attachment of a sugar molecule (a glycan) to a peptide sequence, resulting in the formation of glycoproteins. Glycomics and glycoproteomics involve the complete mapping of glycans of a cell, tissue, or organism.…
Descriptors: Data Analysis, Diseases, Computer Software, Computer Uses in Education
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Nita A. Tarchinski; Thomas Matthew Colclough; Ashley Atkinson; Emily Bonem; Nathan Emery; Victoria Farrar; Madeleine Gonin; Daniel Guberman; Eleanor Louson; Matthew Mahavongtrakul; Timothy McKay; Marco Molinaro; Meryl Motika; Lizette Alda Muñoz Rojas; Hurshal Pol; Kem Saichaie; Kelsey Smart; Megan Stowe; Natasha T. Turman; Jenna Marie Thomas Vest; Ryan Sweeder – To Improve the Academy, 2025
The STEM Equity Learning Community (SELC) project guided multidisciplinary teams from nine large, public research institutions through a yearlong experience. We aimed to support instructors and undergraduate students in developing equity-mindedness to drive structural change efforts on their campuses. The SELCs were supported by access to equity…
Descriptors: Undergraduate Students, Equal Education, STEM Education, Educational Change
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Anila Virani; Ahsan Mollani; Piper Jackson – Knowledge Management & E-Learning, 2025
Social media data has the potential to enable the exploration of public perspectives on health conditions, interventions and policies. However, the resource-intensive nature of qualitative analysis creates a barrier to the timely utilization of social media data. Artificial intelligence can provide innovative ways to reduce the burden by…
Descriptors: Artificial Intelligence, Natural Language Processing, Social Media, Public Health
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Sung Tae Jang; Nicola A. Alexander – Educational Administration Quarterly, 2025
Purpose: This study investigated the links between states' principal evaluation policies and student achievement. We focused on three levers that policymakers have used to hold principals accountable for improving student achievement: (1) including student academic growth data, (2) mandating observations of principal behavior (site visits), and…
Descriptors: Principals, Administrator Evaluation, State Policy, Educational Policy
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Hussain, Sadiq; Gaftandzhieva, Silvia; Maniruzzaman, Md.; Doneva, Rositsa; Muhsin, Zahraa Fadhil – Education and Information Technologies, 2021
Educational data mining helps the educational institutions to perform effectively and efficiently by exploiting the data related to all its stakeholders. It can help the at-risk students, develop recommendation systems and alert the students at different levels. It is beneficial to the students, educators and authorities as a whole. Deep learning…
Descriptors: Regression (Statistics), Academic Achievement, Learning Analytics, Models
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David, Andrew A. – American Biology Teacher, 2021
The rise of "big data" within the biological sciences has resulted in an urgent demand for coding skills in the next generation of scientists. To address this issue, several institutions and departments across the country have incorporated coding into their curricula. I describe a coding module developed and deployed in an undergraduate…
Descriptors: Programming, Programming Languages, Undergraduate Students, Biology
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Kist, Andreas M.; Gómez, Pablo; Dubrovskiy, Denis; Schlegel, Patrick; Kunduk, Melda; Echternach, Matthias; Patel, Rita; Semmler, Marion; Bohr, Christopher; Dürr, Stephan; Schützenberger, Anne; Döllinger, Michael – Journal of Speech, Language, and Hearing Research, 2021
Purpose: High-speed videoendoscopy (HSV) is an emerging, but barely used, endoscopy technique in the clinic to assess and diagnose voice disorders because of the lack of dedicated software to analyze the data. HSV allows to quantify the vocal fold oscillations by segmenting the glottal area. This challenging task has been tackled by various…
Descriptors: Voice Disorders, Medical Evaluation, Clinical Diagnosis, Computer Software
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Cochran-Smith, Marilyn; Lytle, Susan L. – Teaching Education, 2021
In this commentary, the authors aim to connect the provocative topic of this special issue--"'The Village and the World': Research with, for, and by Teachers in an Age of Data" to several key ideas about practitioner inquiry that they have developed and explored over the years. They begin by highlighting three dimensions of their concept…
Descriptors: Educational Research, Teacher Researchers, Inquiry, Data
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Wise, Steven L.; Kuhfeld, Megan R. – Journal of Educational Measurement, 2021
There has been a growing research interest in the identification and management of disengaged test taking, which poses a validity threat that is particularly prevalent with low-stakes tests. This study investigated effort-moderated (E-M) scoring, in which item responses classified as rapid guesses are identified and excluded from scoring. Using…
Descriptors: Scoring, Data Use, Response Style (Tests), Guessing (Tests)
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Gonzalez-Ocantos, Ezequiel; LaPorte, Jody – Sociological Methods & Research, 2021
Scholars who conduct process tracing often face the problem of missing data. The inability to document key steps in their causal chains makes it difficult to validate theoretical models. In this article, we conceptualize "missingness" as it relates to process tracing, describe different scenarios in which it is pervasive, and present…
Descriptors: Data, Research Problems, Qualitative Research, Causal Models
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Eysink, Tessa H. S.; Schildkamp, Kim – Educational Research, 2021
Background: To enable all students to reach their full potential, teachers have to adapt their instruction to students' varying needs. In order to do this, teachers need to engage in activities associated with formative assessment, as well as those associated with differentiation. However, both of these types of activities are, in themselves,…
Descriptors: Individualized Instruction, Formative Evaluation, Student Evaluation, Educational Practices
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Brumberger, Eva – Journal of Visual Literacy, 2021
The multitude of disciplines, perspectives, and practices that inform the study of visual literacy is incredibly valuable, but at the same time it means our research lacks a shared set of methodologies and methods. Unfamiliar research approaches may lead to mistrust of research findings and, even more problematic, to missed opportunities for…
Descriptors: Eye Movements, Visual Literacy, Research, Data
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