Streamline Curriculum Planning | AI Education Tools

Curriculum planning and management

Curriculum Design

Develop and organize academic programs, courses, and learning experiences in alignment with educational goals and standards

Learning Outcomes

Define clear and measurable learning outcomes for each course or program, guiding instructional design and assessment strategies

Course Sequencing

Plan the sequence and progression of courses to ensure logical and effective student learning pathways

Resource Allocation

Allocate resources such as faculty, facilities, and materials to support curriculum delivery and implementation

Flexibility

Design flexible curriculum frameworks to accommodate diverse student needs, interests, and learning styles

Review and Evaluation

Regularly review and evaluate curriculum effectiveness, making adjustments based on feedback, assessment data, and changing educational needs

Alignment with Standards

Ensure alignment with relevant educational standards, accreditation requirements, and industry expectations

Integration of Technology

Integrate educational technology tools and resources to enhance curriculum delivery, student engagement, and learning outcomes

Monitoring and reports

Administrator/Faculty/Student

Analytics are available to different accounts: Vice Chancellors, HODs, Faculty, COE, and students. Each account sees relevant analytics based on permissions. Vice Chancellors view university overview; Faculty assesses subject and student performance; students see their own analytics

Student Attendance/Performance

Student attendance and performance are the key issues to be considered for all the analytics. These help determine whether a student is performing well and can further be challenged or a student is on the weaker side and needs help in a particular area. What is the dropout rate and the retention rate

Historical/Current/Predictive

A student's complete performance data is available. Their interest/skill/employability data is also available. Based on their previous and current data, the future prediction can be made based on machine learning algorithms. It helps in academics and placement

Academic

Monitoring is available at Vice Chancellor, Dean, and HOD accounts for academic and subject monitoring in the university. Both quantitative and qualitative monitoring provided. Management can monitor academics to enhance areas of improvement

Key Performance Indicator

Key Performance Indicators in terms of faculty/course progress and Student performance and success can be measured on day to day basis. This will definitely help the management and the administrators take the right decision and elevate the level of the institution. Key Performance indicators:

1. Attendance
2. Student Performance
3. Faculty academic quality
4. Subjects that are received well
5. Subjects that have trouble
6. Bottom performing students
7. Low performing Courses
8. Participation Rate
9. Retention Rate
10.Graduation Rate
11.Employment Outcomes