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Avery H. Closser; Adam Sales; Anthony F. Botelho – Grantee Submission, 2024
Emergent technologies present platforms for educational researchers to conduct randomized controlled trials (RCTs) and collect rich data on study students' performance, behavior, learning processes, and outcomes in authentic learning environments. As educational research increasingly uses methods and data collection from such platforms, it is…
Descriptors: Data Analysis, Educational Research, Randomized Controlled Trials, Sampling
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Avery H. Closser; Adam Sales; Anthony F. Botelho – Educational Technology Research and Development, 2024
Emergent technologies present platforms for educational researchers to conduct randomized controlled trials (RCTs) and collect rich data to study students' performance, behavior, learning processes, and outcomes in authentic learning environments. As educational research increasingly uses methods and data collection from such platforms, it is…
Descriptors: Data Analysis, Educational Research, Randomized Controlled Trials, Sampling
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Knox, Jeremy – International Review of Education, 2018
This article examines how algorithms are shaping student learning in massive open online courses (MOOCs). Following the dramatic rise of MOOC platform organisations in 2012, over 4,500 MOOCs have been offered to date, in increasingly diverse languages, and with a growing requirement for fees. However, discussions of "learning" in MOOCs…
Descriptors: Online Courses, Mathematics, Learning, Data Collection
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McMaster, Kirby; Rague, Brian; Wolthuis, Stuart L.; Sambasivam, Samuel – Information Systems Education Journal, 2018
This research study provides an examination of the relatively new fields of Data Analytics and Data Science. We compare word rates in Data Analytics and Data Science documents to determine which concepts are mentioned most often. The most frequent concept in both fields is "data." The word rate for "data" is more than twice the…
Descriptors: Data Analysis, Data Collection, Comparative Analysis, Statistics
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Schrauf, Robert W. – Journal of Mixed Methods Research, 2018
Mixed methods, cross-cultural designs are a special case of the more general, mixed methods between-groups designs. The defining feature of mixed methods is the principled integration of qualitative and quantitative approaches, and cross-cultural comparison is premised on the systematic collection and analysis of data from two or more cultural…
Descriptors: Cross Cultural Studies, Mixed Methods Research, Comparative Analysis, Data Collection
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Jo Boaler; Kira Conte; Ken Cor; Jack A. Dieckmann; Tanya LaMar; Jesse Ramirez; Megan Selbach-Allen – Journal of Statistics and Data Science Education, 2025
This article reports on a multi-method study of a high school course in data science, finding that students who take data science take more mathematics courses than those who do not, there are more under-represented students in data science than is typical for other advanced mathematics courses; that the students who take data science are more…
Descriptors: Mathematics Instruction, Opportunities, High School Students, Data Science
Jessica Arnold; Susan Hayes; Elizabeth Zagata – WestEd, 2025
Despite decades of tenacious advocacy and improvement efforts to expand and enshrine rights for students with disabilities, many students with individualized education programs (IEPs) still lack access to high-quality, effective learning opportunities. This can be due to a range of factors, including low expectations, exclusion from general…
Descriptors: Students with Disabilities, Equal Education, Student Evaluation, Evaluation Methods
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Gyeonggeon Lee; Xiaoming Zhai – TechTrends: Linking Research and Practice to Improve Learning, 2025
Educators and researchers have analyzed various image data acquired from teaching and learning, such as images of learning materials, classroom dynamics, students' drawings, etc. However, this approach is labour-intensive and time-consuming, limiting its scalability and efficiency. The recent development in the Visual Question Answering (VQA)…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Learning Processes
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Ali Ardalan – Decision Sciences Journal of Innovative Education, 2025
In response to a large backlog of demand for data analytics expertise, universities are adding analytics courses and/or programs. Data visualization and exploration are among the pillars of the analytics curriculum and should be included in analytics programs. This article presents the philosophy, structure, and content of a data visualization and…
Descriptors: Models, Data Analysis, Visualization, Statistics Education
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Reem Khojah; Alexandra Werth; Kelly W. Broadhead; Lawrence W. Dobrucki; Chris Geiger; David A. Rubenstein – Biomedical Engineering Education, 2025
The integration of generative artificial intelligence (GenAI) is reshaping biomedical engineering (BME) education. This paper presents insights from "The Fifth Biomedical Engineering Education Summit", which brought together educators from across the U.S. to address challenges and opportunities in integrating GenAI into BME curricula.…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, Educational Technology
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Luai Al Labadi; Anna Ly – Teaching Statistics: An International Journal for Teachers, 2025
In the 1990s, educators advocated for projects in statistical courses to enrich student learning. Prior research showcases the positive impact of Project-Based Learning (PBL), where students complete course-driven projects. In agreement with this perspective, we implemented PBL methodologies within two statistical courses at a North American…
Descriptors: Statistics Education, Student Projects, Active Learning, Artificial Intelligence
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Geoffroy P. J. C. Noel; Isabella Xiao; Maher Chaouachi; Alexandru Ilie; Jeremy O'Brien; Sean C. McWatt – Anatomical Sciences Education, 2025
Mixed reality (MR) offers a way to visualize and manipulate complex digital objects in three dimensions, which is particularly beneficial for human anatomy. However, implementing MR effectively requires a deep understanding of its effects on cognitive processes. The purpose of this study was to evaluate cognitive markers of students' engagement…
Descriptors: Cognitive Processes, Difficulty Level, Medical Students, Trainees
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Eduardo Davalos; Yike Zhang; Namrata Srivastava; Jorge Alberto Salas; Sara McFadden; Sun-Joo Cho; Gautam Biswas; Amanda Goodwin – Grantee Submission, 2025
Reading assessments are essential for enhancing students' comprehension, yet many EdTech applications focus mainly on outcome-based metrics, providing limited insights into student behavior and cognition. This study investigates the use of multimodal data sources -- including eye-tracking data, learning outcomes, assessment content, and teaching…
Descriptors: Natural Language Processing, Learning Analytics, Reading Tests, Reading Comprehension
Jay P. Greene; Jonathan Butcher – Heritage Foundation, 2025
President Donald Trump has instructed U.S. Department of Education Secretary Linda McMahon to "take all necessary steps to facilitate the closure of the Department of Education" using her authority to "the maximum extent appropriate and permitted by law." As Secretary McMahon considers such steps, she has already indicated that…
Descriptors: Federal Government, Public Agencies, Government Role, Departments
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Burcu Koca Guler; Fulya Gokalp Yavuz – European Journal of Education, 2025
Assessing achievement is a complex task due to its dependence on multiple factors and the hierarchical structure of educational data, yet surveys like TIMSS offer valuable insights into its determining factors like students' mathematics anxiety. However, disregarding the nested structure of data and ignoring the assumptions of models causes poor…
Descriptors: Achievement Tests, Elementary Secondary Education, International Assessment, Mathematics Tests
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