The ability to predict student performance in a course or program creates opportunities to
improve educational outcomes. With effective performance prediction approaches …

Prediction of students' performance is one of the most explored issues in educational data
mining. To predict if students will achieve the outcomes of the subject based on the previous …

On any type of course (on site or online), a learner is evaluated whether he has acquired the
knowledge and competences provided in the course. The evaluation should be performed …

Fuzzy set theory and Fuzzy logic propose bases for modeling, evaluation and optimization of
tasks, events and processes in different areas. Recently, it has been utilized for the purpose …

Crop production is considered as one of the real world complex problem due to its non-
deterministic nature and uncertain behavior. Particularly, forecasting of rice production for a …

Assessment is an important part of the learning process. The instructor should be able to
evaluate whether a learner has acquired the knowledge and competences provided in the …

Forecasting in general and crop yield forecasting, in particular, is considered a compound
problem. Food and Agriculture Organisation's report Global Agriculture Towards 2050 …

The success of any e-learning system depends on quality of assistance provided to its
students in the learning process. So, analysing the student's academic skills is essential …

Research and experimentation is uncovering forms of best practice and possible factors on
which to centre the analysis of students in an effective way, however learning analytics has …

Generalizing hypotheses based on the past data in order to predict the future is the essential
core of human learning. Various successful methods and techniques have been developed …