LAUSR

Blended learning is one of the leading trends in education. Blended learning combines computer-assisted learning with traditional classroom learning. The literature shows that the blended learning often helps the students to achieve better learning outcome. However, a majority of the existing learning platforms do not focus on the problems of weak students. Here our objective is to develop a computer-assisted learning platform that focuses on performance improvement of weak students and study the efficacy of the system. This paper presents the proposed system, RemedialTutor, that assists the weak students in effective preparation for an examination. The learning platform performs several tasks on demand; for example, providing the meaning of unknown words, sentence simplification, identification of questionable sentences, extraction of summarized content on a specific topic, preparation of question paper and automatic evaluation, identification of less confident sections, etc. To study the effectiveness of the proposed system, it is tested using a blended learning framework. The system is provided to the students as a supplement to the traditional classroom activities and resources. During the comparative study, the experiment group students used this system during their exam preparation but the control group students relied only on their regular resources. It is found that the experiment group students perform better than the control group. The t-value is 2.3466 and p-value is 0.0243. These values indicate that the difference is statistically significant.