Learning analytics interventions should always be mediated by a human being
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The document presents a debate on whether learning analytics interventions should be mediated by humans or machines. Proponents of human mediation argue that machines lack the capacity for personal understanding and ethical considerations, while supporters of machine intervention advocate for its timely and bias-free analytical capabilities. Ultimately, the discussion emphasizes the importance of human involvement in the educational process despite the advantages of technology.
Learning analytics interventions should always be mediated by a human being
- 1. Humans vs Machines: Learning analytics interventions should always be mediated by a human being For machines: Richard Palmer,Tribal For humans: Sheila MacNeill, Glasgow Caledonian University
- 2. > >Slide Debate We believe that >Learning analytics interventions should always be mediated by a human being Disclaimer:The opinions expressed by the presenters are not the view of their organisation 15/03/2017 Humans vs Machines2
- 3. > >Slide The machine The machine will argue they can use learning analytics to provide timely and effective interventions to students improving their chances of achieving better qualifications. Machines don’t forget or get sick; learning analytics is more accurate and not prejudiced; evidence for automated interventions Richard Palmer 15/03/2017 Humans vs Machines3
- 4. > >Slide Learning analytics interventions should always be mediated by a human being >What does an intervention look like? >Why automate? >The problems with people >Is intervention too hard for machines? 15/03/2017 Humans vs Machines4
- 5. > >Slide What does an intervention look like? >Does not have to be traditional meeting/conversation >Based on data about what interventions work in similar situations >Email, SMS or other electronic communication methods >Suggest areas of focus or additional resources 15/03/2017 Humans vs Machines5
- 6. > >Slide Why automate? > Delivering lectures, seminars and tutorials > Developing and implementing new methods of teaching to reflect changes in research > Designing, preparing and developing teaching materials > Assessing students' coursework > Setting and marking examinations > Supporting students through a pastoral or advisory role > Undertaking personal research projects and actively contributing to the institution's research profile > Writing up research and preparing it for publication > Supervising students' research activities Time and resources > Completing continuous professional development (CPD) and participating in staff training activities > Carrying out administrative tasks related to the department, such as student admissions, induction programmes and involvement in committees and boards > Managing and supervising staff - at a senior level this may include the role of head of department > Representing the institution at professional conferences and seminars, and contributing to these as necessary > Establishing collaborative links outside the university with industrial, commercial and public organisations 15/03/2017 Humans vs Machines6
- 7. > >Slide Why automate? >Leaning Analytics knows when high risk times occur >Can monitor the behavior of students in real time >Can offer advice and guidance at the time when it is most needed Timeliness 15/03/2017 Humans vs Machines7
- 8. > >Slide The problems with people >People get stressed or busy >People get ill or other jobs >People have bias, both conscious and unconscious 15/03/2017 Humans vs Machines8
- 9. > >Slide Bias Who believes that they have no bias between black people and white people? 15/03/2017 Humans vs Machines9
- 10. > >Slide Bias Who believes that they have no bias between thin people and fat people? 15/03/2017 Humans vs Machines10
- 11. > >Slide Bias 15/03/2017 Humans vs Machines11
- 12. > >Slide Is intervention too hard for machines? >Pharmacist >Driver >Poker champion >Comet lander >Cancer diagnosis 15/03/2017 Humans vs Machines12
- 13. > >Slide Is intervention too hard for machines? >Pharmacist -> University California, San Francisco >Driver -> Google self driving cards >Poker champion -> Libratus >Comet lander -> Rosetta and Philae >Cancer diagnosis -> IBMWatson >Judging personality -> O.C.E.A.N analysis 15/03/2017 Humans vs Machines13
- 14. > >Slide jisc.ac.uk Except where otherwise noted, this work is licensed under CC-BY-NC-ND > > Richard Palmer richard.palmer@tribalgroup.com Learning analytics interventions should always be mediated by a human being 15/03/2017 Humans vs Machines14Slide
- 15. > >Slide The Human The human will argue although machines can make predictions they will never be 100% accurate; only a person can factor personal circumstances; automated interventions could be demotivating; automated interventions are not ethical. Sheila MacNeill 15/03/2017 Humans vs Machines15
- 16. > >Slide It is the supreme art of the teacher to awaken joy in creative expression and knowledge Albert Einstein 15/03/2017 Humans vs Machines16
- 17. > >Slide Every student can learn, just not on the same day or in the same way George Evans 15/03/2017 Humans vs Machines17
- 18. > >Slide 15/03/2017 Humans vs Machines18
- 19. > >Slide Questions 15/03/2017 Humans vs Machines19
- 20. > >Slide The vote We believe that >Learning analytics interventions should always be mediated by a human being For (the humans) or Against (i.e. machines are better) 15/03/2017 Humans vs Machines20
- 21. > >Slide Paul Bailey Senior Co-design manager Paul.bailey@jisc.ac.uk 15/03/2017 Humans vs Machines21 > >Slide