Integrating MOOCs in Physics preliminary

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Sep 22, 2017 - Mass immediate feed-back. Visualizations ... Less often, the teacher explores strategies to introduce collaborative and active pedagogies ..... but some technologies help more: the case of MOOCs ... Thanks for your attention!
Teaching lab. (ST2)

Integrating MOOCs in Physics preliminary undergraduate education: beyond large size lectures. Juliana Raffaghelli, Patrizia Ghislandi, Susanna Sancassani, Luisa Canal, Rocco Micciolo, Barbara Balossi, Matteo Bozzi, Laura di Sieno, Immacolata Genco, Paolo Gondoni, Andrea Pini, Maurizio Zani ICEM, Napoli 22/09/2017

Universities are changing!

Two problems inside this institutional change are: • the increasing number of students in higher education

This entails:

• Higher teachers’ workload • the need of pedagogical innovation

• increasing drop-outs (Brown et al., 2012)

• the adoption of technologies «amplify» the teachers’ activities

to

Yet working with large size lectures impose new challenges

Maurizio Zani, Juliana Raffaghelli

2/24

The challenge of working with LSL

• Content delivery is frequently the focus • Less often, the teacher explores strategies to introduce collaborative and active pedagogies as in smaller lectures (Allendoerfer et al., 2016) • These strategies could be supported by technology-enhanced learning approaches (Mangram, Haddix, Ochanji & Masingila, 2015)

Maurizio Zani, Juliana Raffaghelli

3/24

Some TEL strategies to promote effective learning in LSL • Content delivery is frequently the focus • Less often, the teacher explores strategies to introduce collaborative and active pedagogies as in smaller lectures (Allendoerfer et al., 2016) • These strategies could be supported by technology-enhanced learning approaches Educational Technologies

Pedagogical Dimension

MOOC’s and OER’s integration (blended learning) Access to content with tracking systems periodically analyzed in class by the teacher Students’ response System

Mass immediate feed-back

Visualizations based on Learning Analytics (student and teacher side)

Self-regulation: tools for planning, monitoring and assessing the own progress in learning

Automatic systems for Peer-evaluation

Reflective skills, critical thinking, content knowledge

Etc.!

Etc.!

These strategies are being studied separately, while there are less efforts to understand how an integrated set of strategies could work. Maurizio Zani, Juliana Raffaghelli

4/24

Our research questions

• Which elements are particularly important in a setting for LSL? • Is there any pedagogical activity/resource within the learning design for the LSL that makes a difference? • Which is the importance of MOOCs in this integrated approach?

Maurizio Zani, Juliana Raffaghelli

5/24

Outlook Team makes the difference!

Pre-courses

MOOCs

Quiz

Maurizio Zani, Juliana Raffaghelli

6/24

MOOCs of experimental physics Pre-courses

MOOCs

Quiz

Maurizio Zani, Juliana Raffaghelli

7/24

MOOCs of experimental physics: ciak...

action start to work! • • • • • • • •

team

1 director 8 teacher/tutor 7 staff

team topics structure storyboard shooting post-editing validation quiz

result

Team makes the difference!

450 h of work 170 video 150 quiz

http://www.mauriziozani.it/wp/?p=2134 Maurizio Zani, Juliana Raffaghelli

8/24

week

week

week

final quiz

...

quiz forum

summary

lessons

quiz ...

role games

case studies

interview

quiz ...

simulations

experiments

lessons

quiz ...

insights

exercise

lessons

MOOCs of experimental physics: structure and certificate

week

quiz > 60%

Maurizio Zani, Juliana Raffaghelli

9/24

MOOCs of experimental physics: topics

2 courses ≈ 17 000 enrolled

Fisica 1

Fisica 2

Mechanics (3 weeks)

Electromagnetism (2 weeks)





• •

kinematics of the material point and examples of motions dynamics of the material point and examples of motions work, energy, bumps and universal gravitation



electric field, conductors, capacitors and dielectric materials electrical current, magnetic field and magnetic materials

Optics (1 week) Thermodynamics (2 weeks) • •



kinematics and dynamics of ideal liquids temperature, ideal gas, heat, thermal machines and entropy

http://www.pok.polimi.it

electromagnetic waves, geometrical optics and wave optics

Hints of modern physics (1 week)

based on Maurizio Zani, Juliana Raffaghelli

(≈ 45 000 enrolled) 10/24

Pre-courses in physics Pre-courses

MOOCs

Quiz

Maurizio Zani, Juliana Raffaghelli

11/24

Pre-courses in physics: students enrolled @ PoliMi

Schools

Students

Freshmen (bachelor)

In precourses

Architecture

9 915 (23%)

1 201 (16%)

43 (4%)

Design

4 226 (10%)

755 (10%)

7 (1%)

29 011 (67%)

5 568 (74%)

1 097 (95%)

Engineering total

43 152

7 524

20% freshmen (bachelor) in engineering

1 147

Team makes the difference! 2016-2017: 5 teams in Milan + 1 team in Lecco

Maurizio Zani, Juliana Raffaghelli

12/24

Pre-courses in physics: structure MOOCs

Lessons

Quiz

16 quiz

3+2 w

2+1 w

Mechanics

12 h

12 quiz

Thermodynamics

8h

8 quiz

Electromagnetism

12 h

12 quiz

Fisica 1

Fisica 2

16 quiz http://www.fisi.polimi.it/it/didattica/studenti/corsi_di_ripasso Maurizio Zani, Juliana Raffaghelli

13/24

Quiz on-line in real-time Pre-courses

MOOCs

Quiz

Maurizio Zani, Juliana Raffaghelli

14/24

Quiz on-line in real-time Goal • for teacher: check of the classroom status • for student: check of the comprehension (more than the knowledge) • “stimulus” to study the topics

Method • on-line (suitable for a large number of students) • real-time (using smartphone as a clicker)

Implementation • fast (max. 2-3 min), with no particular calculus • anonymous (but logging in with the personal code) • without credits (but with self-assessment & final score on the smartphone) • no discussion after the quiz (to separate “quiz effect” from “tutor effect”)

Maurizio Zani, Juliana Raffaghelli

15/24

Summary Pre-courses

• 6 teams • ≈ 1 100 enrolled

MOOCs • • • •

2 courses 170 video 150 quiz ≈ 17 000 enrolled Quiz • 120 quiz Maurizio Zani, Juliana Raffaghelli

16/24

LSL approach in Physics pre-courses: overall impact

• Applying the Student’s t test, a significant improvement in the mean scores was found, ensuring that the whole pre-courses were effective for students’ learning as assessed by tests • Pre-test mean = 4.01 • Post-test mean = 5.97 • t = 9.78

df = 783

p ≤ 0.001

Quinn Dombrowski (2011) «Physics CC-BY 2.0 https://www.flickr.com/photos/25097263@N02/2376187960/

Maurizio Zani, Juliana Raffaghelli

17/24

Results comparing groups: Student’s t test Group 1 Group 2 Group 3 Group 4 Group 5 Group 6 Lecture Size N

211

104

90

112

111

13

Mean

4.03

3.72

3.57

4.33

4.30

3.63

SD

2.92

1.68

1.84

1.46

1.27

1.59

36

9

42

15

28

14

Mean

6.66

5.03

4.72

5.31

7.21

6.72

SD

2.83

1.78

2.09

1.36

2.06

1.58

Effect size

d

0.90

0.78

0.60

0.68

1.99

1.95

Student’s t test

t

5.00

2.24

3.20

2.46

9.43

5.05

< 0.001

0.028

0.002

0.015

< 0.001

< 0.001

Pre-test

N Post-test

p-value

Maurizio Zani, Juliana Raffaghelli

18/24

Results comparing groups: effect size Group 1 Group 2 Group 3 Group 4 Group 5 Group 6 Lecture Size N

211

104

90

112

111

13

Mean

4.03

3.72

3.57

4.33

4.30

3.63

SD

2.92

1.68

1.84

1.46

1.27

1.59

36

9

42

15

28

14

Mean

6.66

5.03

4.72

5.31

7.21

6.72

SD

2.83

1.78

2.09

1.36

2.06

1.58

Effect size

d

0.90

0.78

0.60

0.68

1.99

1.95

Student’s t test

t

5.00

2.24

3.20

2.46

9.43

5.05

< 0.001

0.028

0.002

0.015

< 0.001

< 0.001

Pre-test

N Post-test

p-value

Effect size range values:

d = 0.2 'small‘

0.5 'medium‘

> 0.8 'large'

Maurizio Zani, Juliana Raffaghelli

19/24

According to these results...

• large size lectures can reach similar or even better results than smaller ones • (one large lecture -5- obtained the best effect size) • …presumably due to the whole learning design (MOOCs + active learning + self-monitoring and assessment) or some of its specific elements.

A-ha... but what is the impact of each element?

Maurizio Zani, Juliana Raffaghelli

20/24

Survey on Students’ satisfaction Group Group Group Group3Group p- 6 Group 1 Group 2 Group GroupGroup 4 Group F5 Group 1 2 3 4 5 6 value Lecture Size N 211 104 90 112 111 13 N 62 17 51 27 30 11 MOOCs Mean 4.03 3.72 3.57 4.33 4.30 3.63 Mean 3.13 3.27 3.36 3.37 3.39 3.47 0.98 0.43 Pre-test SD 2.92 1.68 1.84 1.46 1.27 1.59 N 84 27 69 35 43 14 Active N 36 9 42 15 28 14 Learning Mean 2.81 2.86 2.89 3.23 3.52 3.64 9.41