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Download full textEgan, John P.; Cooper-Ioelu, Pauline; Spence, Fiona; Petersen, M. Lynne – International Journal of ePortfolio, 2018
This paper presents findings from a qualitative study of ePortfolio experiences among health professions students at a major Australasian research-intensive university. This exploratory study of the scholarship of teaching and learning (SoTL) aims to understand the experiences and perspectives of students introduced to program-level ePortfolios…
Descriptors: Portfolios (Background Materials), Electronic Publishing, Allied Health Personnel, College Students
Direct linkChatham, Daniel, Ed. – IGI Global, 2021
The current learning environment is substantially different than what existed for most of the 20th century. Learners and teachers today must navigate in perpetually changing contexts where education is influenced by technological advancement and obsolescence, economic barriers, a changing employment landscape, and even international politics.…
Descriptors: Online Courses, Instructional Design, 21st Century Skills, Educational Technology
Penman, Joy; Thalluri, Jyothi – Electronic Journal of e-Learning, 2014
The technological advancements for teaching and learning sciences for health science students are embedded in the Thalluri-Penman Good Practice Model, which aims to improve the learning experiences of science students and increase student retention and success rates. The model also links students from urban and rural areas, studying both on-and…
Descriptors: Student Diversity, Health Sciences, Electronic Learning, Educational Technology
Feng, Mingyu, Ed.; Käser, Tanja, Ed.; Talukdar, Partha, Ed. – International Educational Data Mining Society, 2023
The Indian Institute of Science is proud to host the fully in-person sixteenth iteration of the International Conference on Educational Data Mining (EDM) during July 11-14, 2023. EDM is the annual flagship conference of the International Educational Data Mining Society. The theme of this year's conference is "Educational data mining for…
Descriptors: Information Retrieval, Data Analysis, Computer Assisted Testing, Cheating
