Redesigning a First Year Physiology Course using Learning Analytics to Improve Student Performance
نویسندگان
چکیده
منابع مشابه
Tracking undergraduate student achievement in a first-year physiology course using a cluster analysis approach.
A cluster analysis data classification technique was used on assessment scores from 157 undergraduate nursing students who passed 2 successive compulsory courses in human anatomy and physiology. Student scores in five summative assessment tasks, taken in each of the courses, were used as inputs for a cluster analysis procedure. We aimed to group students into high-achieving (HA) and low-achievi...
متن کاملPredicting Student Performance using Advanced Learning Analytics
Educational Data Mining (EDM) and Learning Analytics (LA) research have emerged as interesting areas of research, which are unfolding useful knowledge from educational databases for many purposes such as predicting students’ success. The ability to predict a student’s performance can be beneficial for actions in modern educational systems. Existing methods have used features which are mostly re...
متن کاملUsing Educational Analytics to Improve Test Performance
Learning analytics are being used in many educational applications in order to help students and Faculty. In our work we use predictive analytics, using student behaviour to predict the likely performance of end of semester final grades with a system we call PredictED. The main contribution of our approach is that our intervention automatically emailed students on a regular basis, with our pred...
متن کاملUsing Learning Analytics to Predict (and Improve) Student Success: A Faculty Perspective
Learning analytics is receiving increased attention, in part because it offers to assist educational institutions in increasing student retention, improving student success, and easing the burden of accountability. Although these large-scale issues are worthy of consideration, faculty might also be interested in how they can use learning analytics in their own courses to help their students suc...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Learning Analytics and Artificial Intelligence for Education (iJAI)
سال: 2021
ISSN: 2706-7564
DOI: 10.3991/ijai.v3i1.21799