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Big Data in Professional Education Big Data in Professional Education 31 st January 2019 Introductions Stuart Pedley-Sm ith is the Head of Learning for Kaplan Financial. He has been involved with training and educating finance professionals for


  1. Big Data in Professional Education Big Data in Professional Education 31 st January 2019

  2. Introductions Stuart Pedley-Sm ith is the Head of Learning for Kaplan Financial. He has been involved with training and educating finance professionals for over 20 years. He is the author of two books, ‘ The E word’ about how to pass exam s’ and ’ A student’ s guide to writing Business Reports.’

  3. Outline Evidence based Process and scope What did we learn?

  4. Evidence based - Education, why not!

  5. The “what works” agenda, Evidence based learning The use of the best available evidence to bring about desirable outcom es or prevent undesirable ones. Best available Expertise evidence EBL Student outcomes

  6. Process and scope

  7. Recruiting expertise Data analysts Insight m anager Psychom etricians Database architects Data m anager Business Intelligence analyst

  8. Online examinations The m ove to on line exam inations and the introduction of objective tests has resulted in m ore data becom ing available. The data can be m ined to provide a valuable and rich source of inform ation .

  9. Capturing data from the LMS Kaplan’ s LMS captures data about how students learn from the very start of their course to just before the exam . By com bining the data from Kaplan and CIMA we are able to identify the behaviours of successful students. Which in turn helps us im prove the advice we give to students as to the best way to learn, study and prepare for the exam .

  10. Organising your data

  11. What do you want to know? Find the answer to what questions ? • What do successful students do? • What is a successful student? • Is fast better than slow? • Are pass rates the best way of m easuring success? • How im portant is a students past academ ic record? • Does the m ethod of study m ake a difference? State the hypothesis - prove it or not

  12. Getting the message out - change behaviours One of the hardest parts in the process Inform ation - blogs, em ails, presentations, infographics etc Changing behaviours! - Nudge

  13. Scope • Data from both Kaplan and CIMA • The data covers the period from October 2016 to Septem ber 2017 and includes 6,415 students • Success has been defined as passing the exam first tim e • The results are for all objective test subjects and does not include case study

  14. What did we learn?

  15. What questions did we ask? Top four Top four • How long should you take before sitting the exam ? • How long after the course should you take the exam ? • Does using MyKaplan (LMS) affect pass rates? • Does rescheduling the exam affect pass rates? Others Others • Does seasonality affect pass rates? • Do exem ptions influence pass rates? • Does the m ethod of study have an im pact ?

  16. How long should you take before sitting the exam? Results: Results: The average pass rate for students sitting the exam in the first 12 weeks is 77% 77%. In the next 8 weeks this falls to 61% 61%. Taking the exam after 12 weeks reduces the pass rate by 16%. Pass within 12 Pass 13 - 20 weeks weeks Conclusions: Conclusions: Because the data differs for individual subjects, the advice is to take the exam between 10-12 weeks after the start of the course. Students should book the exam once the course start date is known.

  17. How long after the course should you take the exam? Results: Results: The data shows a steady decline in pass rates from the end of the course to sitting the exam . Conclusions: Conclusions: Taking the exam within a relatively short period of tim e, 1 - 3 weeks after the course im proves the chances of exam success. The tim e can vary for subjects dependant on confidence and exam readiness.

  18. Does practising questions affect pass rates? Results: Results: Students who attem pted both short tests and m ock exam s had a 77% 72% 5% higher pass rate than students 69% who did neither. Students who only attem pted Attem pt Attem pt Attem pt neither knowledge checks had pass rates Knowledge Knowledge knowledge checks and 8% lower. checks only checks or m ocks Mocks Conclusions: Attempting both knowledge checks and mock exams increase pass rates by 5%. Students should take as many opportunities to test their understanding to improve long term retention.

  19. Does rescheduling the exam affect pass rates? Results: Results: Students who reschedule the exam have a 16% less chance of passing than those that book the exam and stay with 77% the original exam date. 61% No rescheduling Rescheduling Conclusions: Conclusions: Students should book the exam early and not reschedule .

  20. Findings 1. On average the tim e from the start of a course to when the students sit the exam should be between 10 and 12 weeks. between 10 and 12 weeks. 2. On average the tim e from the end of the course to when the students sit the exam should be between 1 and 3 weeks. between 1 and 3 weeks. 3. To im prove chances of passing, students should book the exam early and not reschedule. not reschedule. 4. To im prove chances of passing, students should take take tests tests shortly after studying and sit a mock exam. mock exam.

  21. Questions?

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