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Tony Clark Centre for Model Driven Software Engineering School of Computing

Mining Course Management System (MCMS) and Intelligent Decision Support Special Interest Group (IDS-SIG). Tony Clark Centre for Model Driven Software Engineering School of Computing Thames Valley University. Project Aims. MCMS is a JISC funded project that aims to:

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Tony Clark Centre for Model Driven Software Engineering School of Computing

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  1. Mining Course Management System (MCMS)andIntelligent Decision Support Special Interest Group (IDS-SIG) Tony Clark Centre for Model Driven Software Engineering School of Computing Thames Valley University

  2. Project Aims MCMS is a JISC funded project that aims to: • Detect patterns in institutional data that indicate issues leading to student retention problems • Develop an approach to real-time student support and intervention that addresses retention issues. • Provides high-quality information in support of institution decision making processes. MCMS & IDS-SIG

  3. The MCMS Process MCMS & IDS-SIG

  4. Data Mining can Answer Questions and Test Hypotheses Is the student performance, such as average mark, drop out, pass/fail related to student background profile? • Student performance is not related to: • Gender • Race • Age • Disability • Nationality. • Student performance is related to: • Year of study • VLE usage • Library Usage MCMS & IDS-SIG

  5. What is the profile of students of students that transfer courses after year 1 and those that transfer after year 2? They are mostly UG student, enroll with lower certificate, but get higher marks. MCMS & IDS-SIG

  6. What are the characteristics of students transferring from other institutions? Student transfer from other institutions are mainly UG student, enroll with higher certificate, use library & BB less, and get lower marks and are mainly overseas. MCMS & IDS-SIG

  7. Intervention 1. Intervention process (email, SMS, ...) iMCMS System 2. Motivate student 3. Report risky students Student 4.Module data 5. Give feedback Module Tutor/staff MCMS & IDS-SIG

  8. MCMS & IDS-SIG

  9. Module Tutor Page MCMS & IDS-SIG

  10. Intelligent Decision Support in HE • Issues: • Management and Strategic requirements for decision support. • Available technologies and gap analysis. • Multiple Data Sources: • Data Integration • Data Cleansing • Reusable processes • Engagement and motivation: • Students • Staff • Institution processes and committees • Supplier engagement MCMS & IDS-SIG

  11. Intelligent Decision Support SIG • Planning a submission to become an STG Pathfinder member. • Aims: • Address issues above. • Engage with key institutional stakeholders. • Identify sector-side requirements and develop IDS roadmap. • Identify scope for sector-wide reusable solutions (shared service?) • Identify synergy with other activities. • Contact tony.clark@tvu.ac.uk with expressions of interest in SIG. MCMS & IDS-SIG

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