Abstract
The effective educational systems aimed at improving Cognitive Skills (CS) both in and out of institutions. Such system relies on timely prediction of CS during students' activities in intuitions. Meanwhile, literature is saturated with the number of approaches which have used study schedules, biological and environmental factors to predict CS. However, the loopholes in prior studies have become the main source of inspiration for the current attempt. In this study, we propose a Bayesian Neural Network which predicts CS by iterative manipulations of CS under the profound influence of Student's Basic Attributes. Initially, the study classifies the Basic Attributes into three factors (1.age group, 2. gender, and 3. parent's cohabitation status) which have multiple layers. Furthermore, the technique splits the range of CS into 20 periodic outcome variables (with a period of 0.5). Eventually, the network iteratively estimates each outcome of CS by feed-forward process through Basic Attributes layers. We have reviewed the performance of the proposed network by using a students' score dataset. The results have illustrated that the current technique obtained significant prediction accuracy in terms of accuracy measures.
Highlights
Predictions of students’ Cognitive Skills (CS) are the dire needs of better educational services [1]
This study has proposed a set of distinct values for the particular observable variable of Students’ Basic Attributes which are given below
The results presented that the current approach has simulated the relationship between Students’ Basic Attributes and CS of the selected sample
Summary
Predictions of students’ Cognitive Skills (CS) are the dire needs of better educational services [1]. Students’ CS is the capacity to perform cognitive processes, such as reasoning, problem solving, understanding, and remembering [4], [5] This shows that CS is the ability to accomplish any task that requires reasoning, memory, and problem solving techniques. With weak CS, students cannot achieve good learning, memorizing, and understanding skills to perform cognitive tasks, i.e., good score in quiz, midterm and final year examination. These tasks require a student to mentally process new information (use CS), organize knowledge and
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