Student Guidance and Intelligent System For Personalized Learning Path
Student Guidance and Intelligent System For Personalized Learning Path
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Main objective- The main purpose of this research to develop a web application is to provide personalized guidance and support to students in their learning journey to achieve their learning objectives and succeed academically using image processing, machine learning and natural learning process.
Main research questions- 01)Lack of opportunities for individuals to solve time management problem according to their personal requirements.
02)Lack of opportunities for individuals to form summaries for enhanced memorization.
03)Inability to detect user behavior during studies in order to improve concentration
04)Insufficient options to track user progress after study sessions.
Member Research probleme objective
It20252922 Lack of automatic Text summarizers that An automatic Text summarizer's main goal is,Converting larger body of content to a shorter content by protecting all key information to save time and effort for readers
personalized requirements to achieve personalized
academic goals in order to solve time management
and understanding issues that arise during self-study
period.
IT20237004 Lack of automatic timetable generators that use An automatic personalized timetable generator's main goal is to
personalized requirements to achieve personalized generate a schedule that optimizes the allocation of time slots for
academic goals in order to solve time management various activities or events based on various constraints and preferences.
issues that arise during self-study period.
IT20212568 A lack of systems that identify student’ focus level , To empower student to overcome the obstacles posed by unstable mood and achieve their full potential through effective and efficient study.
mood and provide relevant guidance to the student to
keep proper attention towards the learning.
IT20198336 How students can generate questions based on their An automatic question generator and answer assessment's main
lecture notes before exams, considering the lack of goal is to provide students with questions from the lecture notes
real-time answer evaluation and performance feedback. The proposed question generator has the ability to identify
Additionally, addressing the challenge of helping important sentences from the lecture notes and generate
students identify the specific parts of the lectures questions using transformer models.
they are struggling with and guiding them to focus
