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Leveraging Generative Artificial Intelligence to Improve Motivation and Retrieval in Higher Education Learners

Leveraging Generative Artificial Intelligence to Improve Motivation and Retrieval in Higher Education Learners

Learners are focused on knowledge acquisition and retrieval from an individualized perspective. Not all learners have the same motivation, hidden curriculum, previous knowledge, and experience, or ability to learn and retain learning objectives defined by instructors. Likewise, instructors are unable to individualize curricula across multiple learners or sections while ensuring productive exposure to core learning objectives defined by accreditation and program standards.

Noahlana Monzon, Franklin Alan Hays

JMIR Med Educ 2025;11:e59210

SARS-CoV-2 Infections in a Triad of Primary School Learners (Grades 1-7), Their Parents, and Teachers in KwaZulu-Natal, South Africa: Protocol for a Cross-Sectional and Nested Case-Cohort Study

SARS-CoV-2 Infections in a Triad of Primary School Learners (Grades 1-7), Their Parents, and Teachers in KwaZulu-Natal, South Africa: Protocol for a Cross-Sectional and Nested Case-Cohort Study

The inclusion and exclusion criteria for the school, school-age learners, their parents or guardians, and teachers are summarized in Table 3. Inclusion and exclusion criteria for the school, learners in grades 1-7, their parents/guardians, and teachers. Primary schools within the catchment areas of the Verulam South African Medical Research Council clinical research site in e Thekwini, Kwa Zulu-Natal, South Africa. Special schools, learner referral units, and education colleges.

Reshmi Dassaye, Terusha Chetty, Brodie Daniels, Zakir Gaffoor, Elizabeth Spooner, Trisha Ramraj, Ncengani Mthethwa, Duduzile Faith Nsibande, Saresha Pillay, Arvin Bhana, Vuyolwethu Magasana, Tarylee Reddy, Khanya Mohlabi, Penelope Linda Moore, Wendy A Burgers, Tulio de Oliveira, Nokukhanya Msomi, Ameena Goga

JMIR Res Protoc 2024;13:e52713