Students Psychometric Assessment in eLearning Paradigm Test phase, srs, design phase and source code final deliverable
Abstract/ Preface
With the arrival of rearmost technological trends in assessment modes, there’s a need to develop similar result that would help institutions to estimate scholars not only on the base of summative assessment but on the base of psychometric measures, specifically in eLearning terrain. The main demand is to collect unique dataset of scholars studying in eLearning mode having assessed grounded on psychologist aspect after measuring their responses in active (during the virtual session) and unresistant mode ( recorded session/ after the session). The scholars’ responses will be considered as textbook base, visual base for mapping those to the threshold you set for declaring optimal literacy of any particular pupil or group. The grueling aspect of this design is to develop an operation for evaluation of complete setup. The dataset is unique so it would only be generated using Python libraries or you may take help from (https//www.kaggle.com/). You’ll use CNN for managing visual database of pupil’s behavioral responses to be counterplotted on the scale of their position of alertness. As alertness drives through to better assessment. This is a grueling design; one should take it if really interested to complete it. You may need to study the in- depth of motifs before deep dying into it.
Convolutional Neural Network https//towardsdatascience.com/convolutional-neural-networks-explained-9cc5188c4939 Deep Learning for Face Recognition
https//machinelearningmastery.com/introduction-to-deep-learning-for-face-recognition
Functional Conditions
• The designed system must be followed CNN principles for the perpetration of pronounced problem.
• The system will give interface for pupil’s assessment medium to gauge attentive scholars grounded on their responses during and after the virtual session (Asking scholars quizbased questions about the delivered content).
• The system should respond to the variant dataset for scholars belonging to different demography.
• The graphs show the literacy wind of scholars with further alertness in the virtual classroom terrain.
• Cerebral aspect of scholars to be measured grounded on their thinking capability by posting scholars questions as per bloom’s taxonomy.
Tools
Python
Tensor Flow
Jupyter Notebook (Open-Source Web Operation)
NumPy (Library for python)