Flipping large lectures! Philip Walker School of Mathematics, - - PowerPoint PPT Presentation

▶
flipping large lectures
SMART_READER_LITE
LIVE PREVIEW

Flipping large lectures! Philip Walker School of Mathematics, - - PowerPoint PPT Presentation

Dec 13, 2022 410 likes •700 views

Introduction Design Results Conclusions Flipping large lectures! Philip Walker School of Mathematics, University of Leeds P.Walker@leeds.ac.uk E-assessment in the Mathematical Sciences 13 September 2016 P. J. Walker Flipping large

slide-1
SLIDE 1

Introduction Design Results Conclusions

Flipping large lectures!

Philip Walker

School of Mathematics, University of Leeds P.Walker@leeds.ac.uk

E-assessment in the Mathematical Sciences 13 September 2016

  • P. J. Walker

Flipping large lectures!

slide-2
SLIDE 2

Introduction Design Results Conclusions Background Context

Section 1 Introduction

  • P. J. Walker

Flipping large lectures!

slide-3
SLIDE 3

Introduction Design Results Conclusions Background Context

Flipped classroom

Core concepts

Active and passive learning Inside and outside class Feedback and discussion

  • P. J. Walker

Flipping large lectures!

slide-4
SLIDE 4

Introduction Design Results Conclusions Background Context

Flipped classroom

The challenge

Large enrolment (ca. 160 students) Inappropriate room (raked lecture theatre)

  • P. J. Walker

Flipping large lectures!

slide-5
SLIDE 5

Introduction Design Results Conclusions Background Context

MATH1400

Modelling with Differential Equations

Second-order . . .

  • P. J. Walker

Flipping large lectures!

slide-6
SLIDE 6

Introduction Design Results Conclusions Background Context

MATH1400

Modelling with Differential Equations

Second-order . . . . . . linear . . .

  • P. J. Walker

Flipping large lectures!

slide-7
SLIDE 7

Introduction Design Results Conclusions Background Context

MATH1400

Modelling with Differential Equations

Second-order . . . . . . linear . . . . . . constant coefficient . . .

  • P. J. Walker

Flipping large lectures!

slide-8
SLIDE 8

Introduction Design Results Conclusions Background Context

MATH1400

Modelling with Differential Equations

Second-order . . . . . . linear . . . . . . constant coefficient . . . . . . ordinary differential equations

  • P. J. Walker

Flipping large lectures!

slide-9
SLIDE 9

Introduction Design Results Conclusions

Section 2 Design

  • P. J. Walker

Flipping large lectures!

slide-10
SLIDE 10

Introduction Design Results Conclusions

The ends

Reducing the drag

Eliminate repetitive examples from class Allow more time for interaction

  • P. J. Walker

Flipping large lectures!

slide-11
SLIDE 11

Introduction Design Results Conclusions

The means

Structure

Notes Video Quiz Online Learning Unit (OLU)

  • P. J. Walker

Flipping large lectures!

slide-12
SLIDE 12

Introduction Design Results Conclusions

The means

Structure

Notes Video Quiz Question Numbas Online Learning Unit (OLU)

  • P. J. Walker

Flipping large lectures!

slide-13
SLIDE 13

Introduction Design Results Conclusions

The means

Structure

Notes Video Quiz Question Numbas Online Learning Unit (OLU) FAQ lecture Next OLU

  • P. J. Walker

Flipping large lectures!

slide-14
SLIDE 14

Introduction Design Results Conclusions

The means

Structure

Notes Video Quiz Question Numbas Online Learning Unit (OLU) FAQ lecture Next OLU Student- interacting Student- guided Student- facing

  • P. J. Walker

Flipping large lectures!

slide-15
SLIDE 15

Introduction Design Results Conclusions

The means

Structure

Notes Video Quiz Question Numbas Online Learning Unit (OLU) FAQ lecture Next OLU Student- interacting Student- guided Student- facing Assignment

  • P. J. Walker

Flipping large lectures!

slide-16
SLIDE 16

Introduction Design Results Conclusions Data sources Experience Performance

Section 3 Results

  • P. J. Walker

Flipping large lectures!

slide-17
SLIDE 17

Introduction Design Results Conclusions Data sources Experience Performance

Data sources

Online survey in OLU 3 (n = 74) Socrative exit tickets Assessment data (n = 157)

  • P. J. Walker

Flipping large lectures!

slide-18
SLIDE 18

Introduction Design Results Conclusions Data sources Experience Performance

Experience

The students

In hours, how long did the OLUs take you?

5 10 15 Data Best fit Gamma distribution

µ = 5.75 ± 0.74 hr (95% CI)

  • P. J. Walker

Flipping large lectures!

slide-19
SLIDE 19

Introduction Design Results Conclusions Data sources Experience Performance

Experience

The students

Do you agree or disagree with the following statements?

Less effective than traditional methods Less learning support More engaged than traditional methods Would like more of this style of learning Doing more work Stimulating learning experience Time well spent Meeting the learning objectives Agree Disagree

  • P. J. Walker

Flipping large lectures!

slide-20
SLIDE 20

Introduction Design Results Conclusions Data sources Experience Performance

Experience

The students

Pro Con Work at own pace (×3) Deadline: not at own pace Work more Work more (×4) Understand more Good examples (×4) OLUs vs assignment OLUs a struggle FAQ lectures (×2) FAQ lectures (×3) Quizzes: self-diagnosis Strong, general positive (×2) Self-directed learning Didn’t answer all questions Too difficult

  • P. J. Walker

Flipping large lectures!

slide-21
SLIDE 21

Introduction Design Results Conclusions Data sources Experience Performance

Experience

The lecturer

Pro Con Better feedback from students Upfront cost of work Improvement in rapport More interesting teaching

  • P. J. Walker

Flipping large lectures!

slide-22
SLIDE 22

Introduction Design Results Conclusions Data sources Experience Performance

Data analysis

Class segmentation

Group the class by number of OLUs completed: OLUs Engagement n None 22 1 Partial 16 2 Partial 26 3 Full 93

  • P. J. Walker

Flipping large lectures!

slide-23
SLIDE 23

Introduction Design Results Conclusions Data sources Experience Performance

Data analysis

Mean performance on each exam question by segment

5 10 15 None Partial Full Exam E1 E2 E3 E4

  • P. J. Walker

Flipping large lectures!

slide-24
SLIDE 24

Introduction Design Results Conclusions Data sources Experience Performance

Data analysis

Mean performance on each exam question by segment

5 10 15 None Partial Full Exam E1 E2 E3 E4

  • P. J. Walker

Flipping large lectures!

slide-25
SLIDE 25

Introduction Design Results Conclusions Data sources Experience Performance

Data analysis

Segment scores on assignments

0.00 0.25 0.50 0.75 1.00 5 10 15 20 Engagement Full Partial None

  • P. J. Walker

Flipping large lectures!

slide-26
SLIDE 26

Introduction Design Results Conclusions

Section 4 Conclusions

  • P. J. Walker

Flipping large lectures!

slide-27
SLIDE 27

Introduction Design Results Conclusions

This is worth the effort, with caveats Student (and lecturer) experience is enhanced Student performance appears unaffected A useful means of identifying disengaged students?

  • P. J. Walker

Flipping large lectures!