LESIS@USM is an online platform provided by Universiti Sains Malaysia (USM) for managing its equipment. Various student and academic services can log in using their USM email account to access a range of functionalities that support educational and administrative tasks. This system integrates with other USM services, such as CampusOnline and the university's e-learning systems, making it a centralized hub for students and staff to manage their academic activities and records.

Using AI LESIS@USM include:

1. Centralized Access: LESIS@USM provides a single platform to manage a variety of academic services and administrative tasks. This convenience helps students and staff efficiently access critical resources like course materials, schedules, and academic records.

2. Seamless Integration: The platform integrates with other USM systems such as CampusOnline and e-learning tools, ensuring that users can transition smoothly between different applications within the university’s ecosystem.

3. Secure Access: The platform requires secure login via organizational email, offering privacy and protection for sensitive academic and personal data.

4. Efficiency: By managing academic tasks like enrollment, course registration, and assignment submissions all in one place, it simplifies processes, saving users time and reducing administrative burdens.

AI into LESIS@USM could bring significant enhancements to the platform, improving efficiency, personalization, and user experience. Here are a few ways AI can be applied:

1. Personalized Learning Paths

• AI algorithms can analyze student performance, learning preferences, and progress to recommend personalized learning paths. By offering targeted resources, courses, or learning methods, the system could help each student achieve optimal outcomes.

2. Automated Administrative Support

• AI chatbots can handle routine administrative queries, such as course registration guidance, exam schedules, and technical issues. This would reduce administrative workloads and give students faster access to information.

3. Intelligent Tutoring Systems

• Integrating AI-driven tutoring could provide real-time academic support for students. These systems could monitor student progress in courses, identify challenges, and offer hints, explanations, or additional resources to assist in understanding complex concepts.

4. Smart Resource Management

• AI can help optimize campus resources such as class scheduling, room bookings, and assignment deadlines by predicting trends based on historical data. This ensures the efficient use of available resources and avoids clashes in schedules.

5. Predictive Analytics

• AI could be used to identify students at risk of underperforming by analyzing behavioral patterns, engagement levels, and academic history. Early intervention strategies can then be suggested, such as additional tutoring, workshops, or academic counseling.

6. Enhanced E-Learning Experience

• AI can enhance the e-learning components of LESIS@USM by providing adaptive learning environments, where course materials adjust in difficulty based on a student’s performance. AI tools can also offer real-time feedback on quizzes, assignments, and projects.

7. Data-Driven Decision Making

• University administrators could use AI to analyze large datasets to make informed decisions on curriculum development, student satisfaction, or resource allocation.

8. AI-Assisted Grading

• AI can assist with automating grading for objective types of assessments (like multiple choice or coding assignments). This would save time for instructors and allow for quicker feedback to students.

9. Natural Language Processing (NLP) for Content Search

• AI-powered NLP could enhance search functionalities within the LESIS platform, allowing students to search for documents, course materials, or past lectures using more intuitive, conversational queries.

LESIS@USM AI-driven features integrated into the platform can significantly improve both operational efficiency and the learning experience for students and staff.

LESIS@USM can be accessed through https://lesis.usm.my.