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Hernandez Cardenas, Lizette Susana; Castano, Leticia; Cruz Guzman, Cristina; Nigenda Alvarez, Juan Pablo – Australasian Journal of Educational Technology, 2022
This study's innovative objective was to develop a personalised learning model to equate students' entry level knowledge as they entered the School of Medicine and Health Sciences at Tecnologico de Monterrey in Mexico in 2019. This was necessitated by a difference in the depth and approach to preparatory content. The methodology focused on…
Descriptors: Foreign Countries, Knowledge Level, Medical Schools, Health Sciences
Puzziferro, Maria; McGee, Elisabeth – Online Journal of Distance Learning Administration, 2021
The COVID-19 pandemic has led to an unprecedented shift in how health science education is delivered (Sandars et al., 2020). With face-to-face learning, such as lab and classroom interactions, largely unavailable during the pandemic, institutions have been required to quickly shift the learning environment to a fully virtual format. While…
Descriptors: COVID-19, Pandemics, Health Sciences, Laboratories
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