Learning Strategies for First-Year Biology: Toward Moving the "Murky Middle".

ABSTRACT: Higher education faces the challenge of high student attrition, which is especially disconcerting if associated with low participation rates, as is the case in South Africa. Recently, the use of learning analytics has increased, enabling institutions to make data-informed decisions to improve teaching, learning, and student success. Most of the literature thus far has focused on "at-risk" students. The aim of this paper is twofold: to use learning analytics to define a different group of students, termed the "murky middle" (MM), early enough in the academic year to provide scope for targeted interventions; and to describe the learning strategies of successful students to guide the design of interventions aimed at improving the prospects of success for all students, especially those of the

SUBMITTER: Kritzinger A 

PROVIDER: S-EPMC6234818 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature