Disrupting universities while improving student education
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The document discusses how data analytics will disrupt traditional university education systems by addressing their obsolete business models and inadequate preparation of students for future jobs. It highlights the emergence of personalized learning through technology, with students taking greater control over their education and receiving real-time feedback. Additionally, the text outlines the importance of collaboration among various stakeholders in developing new governance models and educational strategies.
Disrupting universities while improving student education
- 1. How data analytics will disrupt universities and improve student education Andrew Maxwell, Professor Entrepreneurial Engineering, Lassonde School of Engineering Based on a disruption framework from Prof. Sugata Mitra for FutureAgenda
- 2. Current University Education Systems are Obsolete Designed for a world that has changed Don't properly prepare today’s students for jobs that don't yet exist
- 3. Universities will be disrupted because: Not cost effective and have flawed business models and market assumptions Make incorrect assumptions about what people need to learn and how they learn Don't understand the knowledge generation and sharing economy
- 4. Disruptive business models That will take advantage of scaleable technologies, such as data analytics Allowing different types of students to access content in multiple ways Fundamentally change the role of the professor, and create a marketplace for content
- 5. New ways to engage with students Students will be curated through customized relevant and world class curiculum Progress will be assessed continuously, with altentate learning journeys suggested Struggling students will be offered an intervention
- 6. Non - Linear Education Paths Students take more control of their education, accessing courses from multiple sources They will start and stop a variety of courses over their lifetimes Micro-‐badging and certification will be an alternate to degrees
- 7. New Governance Models Education strategy development shifts to a more collaborative multi-‐party process Business, NGOs, students, and professorss provide guide curriculum and learning approach
- 8. Collaborative Networked Learning There will be a movement to a hyper-‐collaborative global network consis4ng of learners, institutions and content providers
- 9. Personal Learning Networks Students will source information from their own Personal Learning Networks and actively contribute to requests from other individuals within their network
- 10. University disruption will be enabled by a number of critical technologies: ★ Enhanced and widespread availability of high speed broadband access ★ Low cost wireless devices ★ Advances in big data, data analytics and machine learning ★ Blockchain technology Student education will be improved through: ★ Better informed decision making based on data ★ Increased student control of their lifelong learning journey ★ Gudied and curated learning through real-time feedback and analysis ★ Creation of new markets in educational content and achievement recognition www.futureagenda.org Andrew.Maxwell@lassonde.yorku.ca slides can be downloaded from http://tinyurl.com/disruptuni