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Peer reviewed
Direct linkAmandeep Sehmi; Isra Sarfraz; Muzammil Hussain – Journal of Advanced Academics, 2025
This special issue article explores the role of generative artificial intelligence (GenAI) in the data analysis phase of academic research degrees, focusing on its adoption by research students in master's and doctor of philosophy programmes in the business and management disciplines, as viewed through the lens of research supervisors. A…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, Data Analysis
Download full textChristine Dickason; Sharmila Mann; Nick Lee – Bellwether, 2025
"Pathways to Implementation" highlights innovative strategies and effective models in career pathways policy, implementation, and programming, as well as challenges states encounter in this work. This seven-part series addresses the key elements of Bellwether's framework for career pathways policy implementation. Each brief defines the…
Descriptors: Career Pathways, Educational Cooperation, State Programs, Program Implementation
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
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
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
Jennifer Sdunzik; Ann M. Bessenbacher; Wilella D. Burgess; Asia M. Mohamud; Abdirisak Dalmar – American Journal of Evaluation, 2025
The success of development projects and evaluations hinges on having access to research protocols and methodologies that consider the needs and characteristics of stakeholders, subjects, and context while remaining rigorous and culturally sound. These efforts are often complicated by a dearth of tools that have been tested for validity and…
Descriptors: Foreign Countries, Program Evaluation, International Programs, Data Collection
Lindgren, Chris Aaron – Written Communication, 2021
Coding has typically been understood as an engineering practice, where the meaning of code has discrete boundaries as a technology that does precisely what it says. Multidisciplinary code studies reframed this technological perspective by positing code as the latest form of writing, where code's meaning is always partial and dependent on…
Descriptors: Coding, Data Processing, Data Analysis, Programming
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
The Challenges of Large-Scale, Web-Based Language Datasets: Word Length and Predictability Revisited
Meylan, Stephan C.; Griffiths, Thomas L. – Cognitive Science, 2021
Language research has come to rely heavily on large-scale, web-based datasets. These datasets can present significant methodological challenges, requiring researchers to make a number of decisions about how they are collected, represented, and analyzed. These decisions often concern long-standing challenges in corpus-based language research,…
Descriptors: Data Analysis, Data Collection, Word Frequency, Prediction
Wanless, Liz A.; Naraine, Michael – Sport Management Education Journal, 2021
Successfully adopting sport business analytics to enhance organization-wide business processes necessitates a combination of business acumen, modeling expertise, personnel coordination, and organizational support. Although the development of technical skills has been well mapped in analytics curricula, informing future leadership and affiliated…
Descriptors: Athletics, Business Administration Education, Data Analysis, Experiential Learning
Eastman, Nicholas J.; Hansen, Ethan E. – Education and Culture, 2021
We contrast the centrality of free and full communication, especially as it occurs in classrooms, for John Dewey's democratic vision of the Great Community with the technologically mediated classroom communication characteristic of the COVID-19 pandemic. We focus on Google's dominance of educational communication in particular. Drawing on Shoshana…
Descriptors: Classroom Communication, Computer Mediated Communication, COVID-19, Pandemics
Ben-Michael, Eli; Feller, Avi; Stuart, Elizabeth A. – Grantee Submission, 2021
To limit the spread of the novel coronavirus, governments across the world implemented extraordinary physical distancing policies, such as stay-at-home orders, and numerous studies aim to estimate their effects. Many statistical and econometric methods, such as difference-in-differences, leverage repeated measurements and variation in timing to…
Descriptors: COVID-19, Pandemics, Public Policy, Disease Control
Ritchie, William J.; Kerski, Joseph; Novoa, Luis J.; Tokman, Mert – Decision Sciences Journal of Innovative Education, 2023
This teaching brief explores how and why location analytics should be taught in business schools using three objectives. First, an explanation is provided for the importance of including location analytics in the standard business school curriculum--especially in the field of supply chain management. Second, a lack of GIS-based location analytics…
Descriptors: Supply and Demand, Information Management, Geographic Information Systems, Data Analysis
Chen, Xieling; Zou, Di; Cheng, Gary; Xie, Haoran; Jong, Morris – Education and Information Technologies, 2023
Researchers and practitioners are paying increasing attention to blockchain's potential for resolving trust, privacy, and transparency-related issues in smart education. Research on educational blockchain is also becoming an active field of research. Based on 206 studies published from 2017 to 2020, we identify contributors, collaborators,…
Descriptors: Educational Technology, Technology Uses in Education, Artificial Intelligence, Databases
Babier, Aaron; Fernandes, Craig; Zhu, Ian Yihang – INFORMS Transactions on Education, 2023
In this paper, we describe a course project in which teams of undergraduate students propose and execute an end-to-end analytics project to solve a real-world problem. The project challenges students to implement machine learning, optimization, simulation, or a combination of these three techniques on real-world data that they collect. A…
Descriptors: Undergraduate Students, Student Projects, Data Analysis, Problem Solving
