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Direct linkLee A. Coppock – Journal of Economic Education, 2025
The COVID-19 pandemic uniquely affected nearly all the subject matter in a typical principles of macroeconomics class. Fluctuations in the basic macroeconomic data in the COVID era were staggering and offer new teaching opportunities. In addition, because the recession was primarily driven by supply side shocks, the entire episode offers a unique…
Descriptors: Macroeconomics, COVID-19, Pandemics, Teaching Methods
Joachim Schwarz – Teaching Statistics: An International Journal for Teachers, 2025
This study explores the use of generative AI, specifically ChatGPT, in statistical data analysis and its implications for statistics education at universities of applied sciences. This paper begins with first discussing the future division of labor between humans and machines in the context of statistical data analyses following the widespread…
Descriptors: Statistics Education, Artificial Intelligence, Computer Software, Teaching Methods
Jing Chen; Tianhui Chen – Journal of Computer Assisted Learning, 2025
Background: The creation of Intelligent Supervision Platforms in universities leverages Big Data for robust monitoring and decision-making, which significantly enhances overall efficiency and adaptability in educational environments. Objectives: This research focuses on evaluating how Big Data-driven Intelligent Supervision Platforms in…
Descriptors: Educational Change, Higher Education, Universities, Supervision
Mohamed Zine; Fouzi Harrou; Mohammed Terbeche; Ying Sun – Education and Information Technologies, 2025
E-learning readiness (ELR) is critical for implementing digital education strategies, particularly in developing countries where online learning faces unique challenges. This study aims to provide a concise and actionable framework for assessing and predicting ELR in Algerian universities by combining the ADKAR model with advanced machine learning…
Descriptors: Electronic Learning, Learning Readiness, Artificial Intelligence, Organizational Change
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
OECD Publishing, 2025
As education systems adapt to evolving societal and technological demands, mathematics curricula must also evolve. Recent trends highlight challenges such as declines in student performance and gaps between intended learning goals and real-world applications. Integrating competencies like data literacy, computational thinking, and problem-solving…
Descriptors: Educational Change, Mathematics Curriculum, Educational Trends, Mathematics Education
Abigail Rombalski; Jaiden Leary; Daniel Brogan – Michigan Journal of Community Service Learning, 2025
Youth Participatory Action Research (YPAR) is an epistemology and a growing field in youth leadership, youth organizing, and liberatory education spaces. YPAR's commitment to justice is supported by social action because, without action, too many YPAR initiatives close with tepid change and dreams deferred (Bertrand & Lozenski, 2023). In one…
Descriptors: Educational Change, Action Research, Participatory Research, High School Students
Yan Lu – International Journal of Web-Based Learning and Teaching Technologies, 2025
Under the background of educational informatization, data-driven teaching decision-making has become a key means to improve the quality of education, but there are some shortcomings in the use of data in college English teaching decision-making. This study constructs an evaluation system of college English teaching decision-making ability,…
Descriptors: Learning Analytics, Decision Making, Teaching Methods, Educational Improvement
