I will be massive from both a curricula side and from our ability to improve our teaching methodology. And we are beginning to see it today. Let me give you a few examples
For example, the Canvas system used at Northwestern assesses student progress in every aspect of our course. It shows those who are exceeding expectations as well as those who are struggling. This allows us to focus our resources on each student
For starters, the typical marketing and sales roles you find predictive analytics used for in any industry: target marketing to various customer segments.
I also teach a number of Massive Open Online Courses – called MOOCs – through Coursera. The Specialization courses like our Leadership, Social Media Marketing, Content Strategy and other programs – teach using videos and online assess students use
Across industries businesses are leveraging predictive analytics higher education can benefit as well--in the classroom and helping with retention and progression
Predictive analytics will also be an integral part of our teaching methodology. In working with entrepreneurs, they must accurate assess target audiences to gather insights to build truly exceptional products and services.
We are currently building systems incorporating Cognitive AI to maximise success. For example, if they want to survey the market or analyze social conversations, the AI will give them sample sizes based on the accuracy they want to achieve
For managing student educational outcomes, predictive models can help identify those subjects where particular individuals might excel or struggle, and help counselors, advisers, and instructors tailor individualized currricula.
It is exciting to see the explosion of tools becoming available now for making sense of institutional data, especially in a field as important as higher education
Ideally, instructors should be able to use predictive analytics to gauge how best to arrange/tweak lesson plans in order to enhance the performance of their students, based on in-progress performance.
Today, students are exhibiting behaviors which an be monitored and used to improve our courses. We can see how students are consuming our content and succeeding based on our assessment systems.
By incorporating these feedback mechanisms, we can alter our teaching methodologies to best match the learning patterns of our students. It will also allow us to mix media to more effectively deliver our materials.
It would be fascinating to see a student career/job/interview matching service to assess student academic achievement and interests against openings and skill needs of potential employers.
Metrics drive our businesses and now they will drive our educational systems as well. Ideally, we want a teaching methodology which conforms to each student and uses AI systems to help guide them through the learning process.
My youngest brother got matched with an incredible roommate his freshman year of college, they are the best of friends, I wish I could say the same, but we didn't have a match.com style roomate service a decade ago... lol
Already, we are doing much more with building assessment rubrics and comparing student performance against these assessment criteria. Adding predictive analytics will allow us to take that to the next levels.
As businesses drive towards an OmniChannel view of a consumer, we must do that with each of our students and the courses we teach. Today, students consume content differently and we need to identify the media mix which best teaches each student.
Consider the emergence of DiSoMo - Digital, Social and Mobile. We are moving from descriptive data to behavioral data and attitudes to identify business opportunities
Today, we see marketing and business moving from integrated marketing where technology gives us predictive analytics based on past behaviors to real-time analytics to drive real-time marketing
Consider Programming Marketing. With AIs talking to AIs to give you the best content from a company in less that .4 of a second. The world of business may evolve into AIs talking to AIs to help each consumer individually
It’s more than that. At Northwestern, we are developing T-shaped leaders. This incorporate team teaching of entrepreneur classes with engineers an IT Specialists and team assessment of performance
Mixing specialists to drive entrepreneurial and intrapreneurial initiatives is a key to success. For example, at the WOW conference, I have a team of two top engineering students from the McCormick Engineering Graduate School