NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Laws, Policies, & Programs
Assessments and Surveys
Program for International…1
What Works Clearinghouse Rating
Showing all 7 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Nonkanyiso Pamella Shabalala – Research in Social Sciences and Technology, 2024
The integration of Artificial Intelligence (AI) into Open Distance eLearning (ODeL) represents a significant evolution in STEM education, offering transformative benefits in teaching, learning and administrative processes. This conceptual paper explores how AI-driven platforms are revolutionising ODeL by providing personalised learning…
Descriptors: STEM Education, Distance Education, Artificial Intelligence, Educational Technology
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Jeong, Jin Su; González-Gómez, David; Yllana Prieto, Félix – Education Sciences, 2020
Sustainable science, technology, engineering, and mathematics (STEM) education involves lifelong education in various domains. Active learning strategies are receiving increased attention as an important tool, and particularly online-based formative assessment interfaces, although challenges to their use remain in sustainable and flipped STEM…
Descriptors: STEM Education, Sustainability, Active Learning, Preservice Teachers
Peer reviewed Peer reviewed
Direct linkDirect link
Acosta-Gonzaga, Elizabeth; Walet, Niels R. – Assessment & Evaluation in Higher Education, 2018
This study explores student attitudes to the use of substantive on-line assessments that require mathematical answers. Since there is limited guidance available for their use in a university setting, our goal is to learn what are the important aspects in student acceptance of e-assessments that support learning of mathematical subjects in higher…
Descriptors: Student Attitudes, Evaluation Methods, Computer Assisted Testing, Undergraduate Students
Peer reviewed Peer reviewed
Direct linkDirect link
Ippolito, Kate; Pazio, Monika – Higher Education Pedagogies, 2019
At the heart of changing institutional assessment and feedback practices is the need to transform university teachers' ways of thinking about feedback and assessment. In this article, we present a case study of a three-year Master's in Education offered to UK STEMM university teachers as an opportunity to develop critically reflective and…
Descriptors: STEM Education, Masters Programs, Graduate Study, College Faculty
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
Smith, Peter, Ed. – Association Supporting Computer Users in Education, 2014
The Association Supporting Computer Users in Education (ASCUE) is a group of people interested in small college computing issues. It is a blend of people from all over the country who use computers in their teaching, academic support, and administrative support functions. ASCUE has a strong tradition of bringing its members together to pool their…
Descriptors: Conferences (Gatherings), Conference Papers, Computer Uses in Education, Small Colleges
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection