Novel Student Performance Evaluation Using Cognitive Skills and Data Analysis Techniques

Current student evaluation is done by grading student work with help of assignments, exams, projects, which involves more manpower to assess as well as the students might not indulge more interest in it. These can be subjective and prone to biases. They may primarily focus on traditional formats like multiple-choice, short answers missing out on student concern, interactive and innovative assessment formats. In such cases, there might be a chance of copying. To mitigate these disadvantages, we have come up with an idea of integrating technology and automated methods that offer more immediate feedback, adaptability to individual learning paths. This approach aims to create a more interactive and effective assessment environment that benefits student learning and growth. The cognitive as well as technical skills of the student can be assessed by using simple cognitive games such as crossword puzzles, missing characters, shuffled words. This will give liveliness along with thoughtful insights into the subject. At the end we want to showcase students’ performance in graph using Linear regression technique. Taking up assessment generation using cognitive skills instead of manual assessment offers several advantages that can enhance the quality, efficiency and fairness of assessment process. Automated assessment systems can generate data on student performance, identifying trends, strengths and weaknesses accurately.