Statistical Assessment of Peer Opinions in Higher Education Rankings: The Case of U.S. Engineering Graduate Programs
Journal Article
Ghaisi, A., Fountas, G., Anastasopoulos, P., & Mannering, F. (2019)
Statistical Assessment of Peer Opinions in Higher Education Rankings: The Case of U.S. Engineering Graduate Programs. Journal of Applied Research in Higher Education, 11(3), 481-492. https://doi.org/10.1108/JARHE-09-2018-0196
Unlike many other quantitative characteristics used to determine higher education rankings, opinion-based peer assessment scores, and the factors that may influence them, are ...
Who Is (Likely) Peer-Reviewing Your Papers? A Partial Insight into the World’s Top Reviewers
Journal Article
Pomponi, F., D'Amico, B., & Rye, T. (2019)
Who Is (Likely) Peer-Reviewing Your Papers? A Partial Insight into the World’s Top Reviewers. Publications, 7(1), 15. https://doi.org/10.3390/publications7010015
Scientific publishing is experiencing unprecedented growth in terms of outputs across all fields. Inevitably this creates pressure throughout the system on a number of entitie...
The use of electronic voting systems to enhance deep learning.
Conference Proceeding
Barreto, D. (2012)
The use of electronic voting systems to enhance deep learning. In B. McCabe, M. Pantazidou, & D. Phillips (Eds.), Shaking the Foundations of Geo-engineering Education - proceedings of the international conference Shaking the Foundations of Geo-engineering Education (NUI Galway, Ireland, 4-6 July 2012
The present paper introduces a technology-enhanced teaching method that promotes deep learning.
Four stages that correspond to four different student cohorts were used for its...