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Huijuan Fu; Yangcai Xiao; Isaac Kofi Mensah; Rui Wang – Education and Information Technologies, 2024
The nation's explosive growth in Massive Open Online Courses (MOOCs) is likely to lead to low effectiveness of MOOCs, therefore, it is necessary to promote the high-quality and long-term development of MOOCs through understanding learner satisfaction. The present research adopted the Latent Dirichlet Allocation (LDA) to derive factors affecting…
Descriptors: Student Satisfaction, MOOCs, Computer Science Education, Curriculum Design
Christopher J. Casement; Laura A. McSweeney – Journal of Statistics and Data Science Education, 2024
As the use of data in courses that incorporate statistical methods has become more prevalent, so has the need for tools for working with such data, including those for data creation and adjustment. While numerous tools exist that support faculty who teach statistical methods, many are focused on data analysis or theoretical concepts, and there…
Descriptors: Statistics Education, Data Science, Educational Technology, Computer Software
Semih Sait Yilmaz; Ayse Collins; Seyid Amjad Ali – European Journal of Education, 2024
In response to the COVID-19 pandemic, an abrupt wave of digitisation and online migration swept the higher education institutions around the globe. In the aftermath of this digital transformation which endures as the legacy of the pandemic, what lacks in knowledge is how effective the anti-COVID measures were in maintaining quality education.…
Descriptors: Foreign Countries, Artificial Intelligence, Higher Education, COVID-19
Silvia Heubach; Tuyetdong Phan-Yamada – Journal of Statistics and Data Science Education, 2025
We describe a hands-on project in which students collect data on the impact of distracted driving on driver reaction time. Initially they do this in class via a virtual driving applet, using themselves and fellow students as test subjects. Different applet versions simulate driving with and without distraction and measure the time it takes to…
Descriptors: Statistics, Relevance (Education), Student Projects, Experiential Learning
Jeremy L. Hsu; Sara Gartland; Joelle Prate; Charles Hohensee – CBE - Life Sciences Education, 2025
Quantitative reasoning (QR) is a key skill for undergraduate biology education. Despite this, many students struggle with QR. Here, we use the theoretical framework of student noticing to investigate why some students struggle with QR in introductory biology labs. Under this framework, what students notice when given new information and data…
Descriptors: Thinking Skills, Numeracy, Introductory Courses, Biology
Cynthia A. Gallardo – School Leadership Review, 2024
Dual Enrollment (DE) or Dual Credit (DC) programs have become increasingly prevalent at both the high school and college settings. These programs enable students to earn both high school and college credit and get a head start on their college education. Additionally, students in these programs must take university core curriculum courses to…
Descriptors: Introductory Courses, Biology, Dual Enrollment, High Schools