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Learning 
Pathways 
– 
Aligning 
the 
Cloud 
to 
the 
Campus 
The ENGG1200 Flipped Classroom 
Experience 
Carl 
Reidsema
Outline 
• Where 
are 
we 
at? 
• What 
should 
we 
do? 
• Our 
case 
study 
• What’s 
next?
Where 
are 
we 
at?
Educa:on: 
public 
good 
or 
private 
commodity? 
h@p://www.evolllu:on.com/opinions/darwin-­‐disrup:on-­‐cycle-­‐reframing-­‐higher-­‐educa:ons-­‐proposi:on/
There 
are 
new 
paradigms 
and 
change 
agents 
…
Industry 
“The 
future 
is 
no 
longer 
simply 
about 
knowledge 
transfer. 
It 
is 
more 
about 
behavioural 
change.” 
Dr. 
Jason 
Armstrong 
Brisbane 
Technology 
Centre 
Manager 
Boeing 
Research 
& 
Technology 
Australia
Research 
… 
the 
world 
may 
call 
for: 
• a 
will 
to 
learn; 
• a 
will 
to 
engage; 
• a 
preparedness 
to 
listen; 
• a 
preparedness 
to 
explore, 
to 
hold 
oneself 
out 
to 
new 
experiences; 
• a 
determina:on 
to 
keep 
going 
forward. 
Ronald 
Barne?
Professional 
Accredita:on 
Bodies 
Knowing 
Ac:ng 
Being
What 
should 
we 
do?
Times 
Higher 
Educa:on 
If 
your 
lecture 
can 
be 
replaced 
by 
a 
video, 
perhaps 
it 
should 
be! 
h@p://www.flippedclassroomworkshop.com
Ac:ve 
Learning 
Works 
Richard 
Hake 
(1998) 
Interac:ve-­‐engagement 
vs 
tradi:onal 
methods: 
A 
six-­‐ 
thousand 
student 
survey 
of 
mechanics 
test 
data 
for 
introductory 
physics 
courses. 
American 
Journal 
of 
Physics
Our 
case 
study
Our 
context 
Large 
fundamental 
1st 
year 
engineering 
course: 
• Materials 
• Problem 
solving 
• Modelling 
• Design 
• Prac:ce 
• Self 
development 
• 1200 students/y 
• 20% international 
• 20% female 
• 95% from high school
Our 
team
Design 
Thinking 
Situated 
Learning 
Context 
before 
Content 
Knowing 
and 
Doing
Criteria 
• Providing 
a 
reason 
to 
come 
to 
campus 
• Providing 
authen:c 
educa:on 
to 
large 
cohorts 
• Integra:ng 
theory 
and 
prac:ce 
• Encouraging 
ownership 
of 
learning 
• Student 
engineers 
(not 
engineering 
students)
Authen:city 
Collabora:ve 
technology 
has 
opened 
up 
new 
opportuni:es 
in 
Educa:on, 
but 
in 
the 
end 
it’s 
not 
the 
tools 
that 
drive 
learning. 
The 
design 
of 
authen:c 
learning 
tasks 
is 
a 
first 
step 
towards 
encouraging 
self-­‐regula:on. 
create 
space 
for 
students 
to 
pracEce 
applying 
the 
informaEon 
of 
the 
discipline 
with 
their 
peers. 
(Lave 
& 
Wenger, 
1991) 
"Appren:ces 
must 
organise 
and 
take 
responsibility 
for 
their 
own 
learning 
(curriculum) 
and 
recruit 
teaching 
or 
guidance 
for 
themselves."
Week 
1 
Week 
7 
Week 
13 
Theory/Content 
Team-­‐Based 
Learning 
Week 
10 
Tools 
Online 
Learning 
Integrated 
Learning 
UQ 
Centre 
Workshops 
Build/Test/ 
Teamwork 
Design 
Brief 
Problem 
Defn 
Team 
Performance 
Design 
Ambiguity 
Concept 
Genera:on 
Solu:on 
Evalua:on 
Detailed 
Design 
Implementa:on 
Delivery
Structure 
and 
scaffold 
and 
…
Devise 
projects 
A 
Mechanical/ 
Mechatronic/ 
Aerospace 
Torque 
Rod 
B 
Chem/ 
Mech/ 
Elec 
Torque 
Rod 
C 
Civil/Elect/Mech 
Beam 
D 
Mining/ 
Elec/ 
Mech 
Torque 
Rod
Find 
spaces 
and 
equipment
The 
usual 
stuff 
… 
but 
what 
else?
34
35 
Working 
in 
Teams 
(online 
module) 
Purposeful 
Team 
alloca:on 
Inten:onal 
selec:on 
of 
team 
members 
to 
maximise 
student 
poten:al 
and 
performance 
Teamwork 
(workshop) 
Belbin 
roles 
Poten:al 
conflicts, 
project 
stages 
and 
aQributes 
Team 
charter 
Team 
mentoring 
PAF1 
(forma:ve) 
to 
iden:fy 
teams 
at 
risk 
Team 
mentoring 
session 
Peer-­‐evalua:on 
Project 
delivery 
PAF2 
(summa:ve) 
to 
derive 
individual 
mark 
Team 
feedback 
mee:ngs 
Considered 
Task 
Design 
(Kavanagh 
et 
al 
2011)
36 
Set 
Goals 
Materials 
Teams 
Modelling 
Evaluate 
Goals
And 
what 
happened?
Let 
the 
students 
in 
… 
~1200 
students: 
~200 
teams, 
50 
course 
staff
Where 
to 
from 
here?
Evidence 
Based 
Prac:ce 
Lave 
and 
Wenger 
(1991) 
Situated 
Learning: 
Legi:mate 
peripheral 
par:cipa:on. 
John 
Seeley-­‐Brown 
Students 
should 
be 
able 
to 
design 
their 
own 
curriculum 
and 
and 
be 
able 
to 
acquire 
their 
own 
resources 
as 
well 
as 
criEcally 
evaluate 
their 
progress.
UniversiEes 
are 
gathering 
unprecedented 
amounts 
of 
informaEon 
about 
students' 
online 
acEviEes 
and 
backgrounds, 
helping 
to 
predict 
those 
most 
likely 
to 
fail 
their 
courses. 
Many 
universiEes 
are 
introducing 
programs 
that 
monitor 
how 
long 
students 
use 
internet 
course 
materials 
and 
libraries, 
and 
track 
students' 
digital 
interacEons 
with 
others. 
But 
students 
are 
likely 
to 
be 
concerned 
that 
informaEon 
about 
their 
personal 
study 
habits 
could 
wind 
up 
in 
the 
hands 
of 
future 
employers.
Framework
100 
90 
80 
70 
60 
50 
40 
30 
20 
10 
0 
PAF 
below 
0.95 
(78 
Students) 
PAF 
above 
0.95 
(959 
Students) 
Podcast 
minutes 
watched 
PAF1 
vs. 
Podcast 
minutes 
watched 
P 
< 
0.0001 
66 
64 
62 
60 
58 
56 
54 
52 
PAF 
vs 
Mid-­‐Semester 
Result 
PAF 
below 
0.95 
(71 
Students) 
PAF 
above 
0.95 
(932 
Students) 
120 
100 
80 
60 
40 
20 
0 
PAF 
below 
0.95 
(78 
Students) 
PAF 
above 
0.95 
(961 
Students) 
Number 
of 
Forma:ve 
Quiz 
A@empts 
PAF 
vs. 
Forma:ve 
Quiz 
aQempts 
P 
< 
0.0001 
80 
70 
60 
50 
40 
30 
20 
10 
0 
PAF 
below 
0.95 
(77 
Students) 
PAF 
above 
0.95 
(960 
Students) 
Summa:ve 
Quiz 
Result 
(%) 
PAF 
vs. 
Summa:ve 
Quiz 
Result 
P 
< 
0.0001
Summary 
• Value 
Proposi:on 
Needs 
Addressing 
• It’s 
a 
Brave 
New 
World 
• Radical 
Transforma:on 
is 
Possible 
• Learning 
is 
More 
Than 
Content 
• Technology 
Can 
Bridge 
The 
Gap 
– Student 
Voice 
– Assessment 
– Evalua:on
Thank 
you! 
h@p://www.uq.edu.au/tediteach/flipped-­‐classroom/olt-­‐transforming/

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Aligning Cloud Learning to Campus with a Flipped Classroom Case Study

  • 1. Learning Pathways – Aligning the Cloud to the Campus The ENGG1200 Flipped Classroom Experience Carl Reidsema
  • 2. Outline • Where are we at? • What should we do? • Our case study • What’s next?
  • 4.
  • 5.
  • 6. Educa:on: public good or private commodity? h@p://www.evolllu:on.com/opinions/darwin-­‐disrup:on-­‐cycle-­‐reframing-­‐higher-­‐educa:ons-­‐proposi:on/
  • 7.
  • 8.
  • 9. There are new paradigms and change agents …
  • 10. Industry “The future is no longer simply about knowledge transfer. It is more about behavioural change.” Dr. Jason Armstrong Brisbane Technology Centre Manager Boeing Research & Technology Australia
  • 11. Research … the world may call for: • a will to learn; • a will to engage; • a preparedness to listen; • a preparedness to explore, to hold oneself out to new experiences; • a determina:on to keep going forward. Ronald Barne?
  • 12. Professional Accredita:on Bodies Knowing Ac:ng Being
  • 14.
  • 15. Times Higher Educa:on If your lecture can be replaced by a video, perhaps it should be! h@p://www.flippedclassroomworkshop.com
  • 16. Ac:ve Learning Works Richard Hake (1998) Interac:ve-­‐engagement vs tradi:onal methods: A six-­‐ thousand student survey of mechanics test data for introductory physics courses. American Journal of Physics
  • 17.
  • 18.
  • 19.
  • 20.
  • 22. Our context Large fundamental 1st year engineering course: • Materials • Problem solving • Modelling • Design • Prac:ce • Self development • 1200 students/y • 20% international • 20% female • 95% from high school
  • 24. Design Thinking Situated Learning Context before Content Knowing and Doing
  • 25. Criteria • Providing a reason to come to campus • Providing authen:c educa:on to large cohorts • Integra:ng theory and prac:ce • Encouraging ownership of learning • Student engineers (not engineering students)
  • 26. Authen:city Collabora:ve technology has opened up new opportuni:es in Educa:on, but in the end it’s not the tools that drive learning. The design of authen:c learning tasks is a first step towards encouraging self-­‐regula:on. create space for students to pracEce applying the informaEon of the discipline with their peers. (Lave & Wenger, 1991) "Appren:ces must organise and take responsibility for their own learning (curriculum) and recruit teaching or guidance for themselves."
  • 27. Week 1 Week 7 Week 13 Theory/Content Team-­‐Based Learning Week 10 Tools Online Learning Integrated Learning UQ Centre Workshops Build/Test/ Teamwork Design Brief Problem Defn Team Performance Design Ambiguity Concept Genera:on Solu:on Evalua:on Detailed Design Implementa:on Delivery
  • 29.
  • 30. Devise projects A Mechanical/ Mechatronic/ Aerospace Torque Rod B Chem/ Mech/ Elec Torque Rod C Civil/Elect/Mech Beam D Mining/ Elec/ Mech Torque Rod
  • 31. Find spaces and equipment
  • 32. The usual stuff … but what else?
  • 33.
  • 34. 34
  • 35. 35 Working in Teams (online module) Purposeful Team alloca:on Inten:onal selec:on of team members to maximise student poten:al and performance Teamwork (workshop) Belbin roles Poten:al conflicts, project stages and aQributes Team charter Team mentoring PAF1 (forma:ve) to iden:fy teams at risk Team mentoring session Peer-­‐evalua:on Project delivery PAF2 (summa:ve) to derive individual mark Team feedback mee:ngs Considered Task Design (Kavanagh et al 2011)
  • 36. 36 Set Goals Materials Teams Modelling Evaluate Goals
  • 38. Let the students in … ~1200 students: ~200 teams, 50 course staff
  • 39.
  • 40. Where to from here?
  • 41. Evidence Based Prac:ce Lave and Wenger (1991) Situated Learning: Legi:mate peripheral par:cipa:on. John Seeley-­‐Brown Students should be able to design their own curriculum and and be able to acquire their own resources as well as criEcally evaluate their progress.
  • 42. UniversiEes are gathering unprecedented amounts of informaEon about students' online acEviEes and backgrounds, helping to predict those most likely to fail their courses. Many universiEes are introducing programs that monitor how long students use internet course materials and libraries, and track students' digital interacEons with others. But students are likely to be concerned that informaEon about their personal study habits could wind up in the hands of future employers.
  • 43.
  • 44.
  • 45.
  • 47. 100 90 80 70 60 50 40 30 20 10 0 PAF below 0.95 (78 Students) PAF above 0.95 (959 Students) Podcast minutes watched PAF1 vs. Podcast minutes watched P < 0.0001 66 64 62 60 58 56 54 52 PAF vs Mid-­‐Semester Result PAF below 0.95 (71 Students) PAF above 0.95 (932 Students) 120 100 80 60 40 20 0 PAF below 0.95 (78 Students) PAF above 0.95 (961 Students) Number of Forma:ve Quiz A@empts PAF vs. Forma:ve Quiz aQempts P < 0.0001 80 70 60 50 40 30 20 10 0 PAF below 0.95 (77 Students) PAF above 0.95 (960 Students) Summa:ve Quiz Result (%) PAF vs. Summa:ve Quiz Result P < 0.0001
  • 48. Summary • Value Proposi:on Needs Addressing • It’s a Brave New World • Radical Transforma:on is Possible • Learning is More Than Content • Technology Can Bridge The Gap – Student Voice – Assessment – Evalua:on