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What research can tell us about how we learn
What	is	known	about	learning
• is	a	process	not	a	product	
• involves	change	in	knowledge,	beliefs,	behaviors,	
or	attitudes	
• is	not	something	done	to	students,	but	rather	
something	students	themselves	do
What	is	known	about	learning
Effective teaching has to be rooted
in what improves learning
The instructor can advance learning only by
influencing what the student does to learn
Bridging
• What	is	needed	is	a	framework	that	bridges	
learning	research	and	teaching	practice		
• Fortunately,	such	frameworks	already	exist.
http://goo.gl/CzvyP
What	HLW	is	about:
• A	bridge	between	research	about	learning	and	
implications	for	teaching	practice	:	
– Why	certain	teaching	approaches	are	or	are	not	
supporting	students’	learning	
– Teaching	approaches	that	effectively	foster	student	
learning	in	specific	contexts	
– Transferring	and	applying	these	principles
About	the	7	principles
• Research	in	brain	science,	cognitive,	
developmental,	and	social	psychology,	
anthropology,	education,	and	diversity	studies	
• K-12	and	higher	education	
• Domain-independent	
• Experience-independent	
• Cross-culturally	relevant
7	Principles
1. Students	prior	knowledge	can	help	or	hinder	
learning	
2. How	students	organize	knowledge	influences	
how	they	learn	and	apply	what	they	know	
3. Students’	motivation	determines,	directs,	and	
sustains	what	they	do	to	learn	
4. To	develop	mastery,	students	must	acquire	
component	skills,	practice	integrating	them,	
and	know	when	to	apply	what	they	have	
learned
7	Principles
5. Goal-directed	practice	coupled	with	targeted	
feedback	enhances	the	quality	of	students’	
learning	
6. Students’	current	level	of	development	
interacts	with	the	social,	emotional,	and	
intellectual	climate	of	the	course	to	impact	
learning	
7. To	become	self-directed	learners,	students	
must	learn	to	monitor	and	adjust	their	
approaches	to	learning
Knowledge
	 	 	 	 	 Structure
Motivation
	 	 	
	 	 	 	 	 Mastery
Practice
	 	 	 	
	 	 	 	 	 Climate
Metacognition
Principle	2:	

Knowledge	Structure	and	Organization
How	students	organize	knowledge	influences	how	
they	learn	and	apply	what	they	know
Principle	2:	

Knowledge	Structure	and	Organization
How	experts		
and	novices		
structure	and		
organize		
knowledge	
	 	 	 	 	 	
	 	 	 	 	 	 	 Source		HLW	Fig	2.1
Principle	2:	

Knowledge	Structure	and	Organization
Consider	the	following		
code	key
1	
2	
3	
4	
5	
6	
7	
8	
9	
0
Principle	2:	

Knowledge	Structure	and	Organization
Write	down	your	phone	number	in	the	
symbolic	code
Principle	2:	

Knowledge	Structure	and	Organization
Consider	the	following		
code	key
1	
2	
3	
4	
5	
6	
7	
8	
9	
0
1 2 3
64
98
5
7
What	the	research	shows
• When	students	are	provided	with	a	structure	for	
organizing	new	info,	they	learn	more	and	better	
• Students	show	better	learning	gains	when	given	
an	advance	organizer	i.e.	a	set	of	principles	that	
provide	a	cognitive	structure	to	guide	
incorporation	of	new	knowledge
Additional	example	available	in	slides:		
test	enhanced	learning
Take	home:	research
Familiarity	with	and	application	of	principles	
that	support	long	term	retention	can	enhance	
teaching	design	and	student	learning
What students say about how they learn
24
https://www.youtube.com/watch?v=RH95h36NChI
25
26
For a full explanation, see Stephen Chew’s excellent resources
"How to get the most out of studying"
https://goo.gl/HHjEP7
27
“I have learned so much in this course!”
A preliminary glimpse into students’ perceptions
of their learning in a fourth year biology course.
Pam Kalas and Sylvia McLellan
Science Supper Series
January 26, 2016
kalas@zoology.ubc.ca
RESEARCH QUESTIONS
1. What do students in my Biology 463 course think they
are learning, and how does this align with the course
learning objectives?
2. What kinds of evidence do students rely on to
determine that they have learned something, and how
does that align with the evidence used by the
instructor?
METHODOLOGY
week 1 week 3 week 8 week 11
METHODOLOGY
Factual knowledge
Brief description of one or
two new pieces of
knowledge developed since
your last learning journal
How do you know that you
have acquired this
knowledge? Please describe,
or refer to and attach,
evidence
Code
Code
32
J.	Kruger,	and	D.	Dunning,	“Unskilled	and	unaware	of	it:	how	dif:iculties	in	recognizing		one's	own	incompetence	lead	to	in:lated	self-assessments.”,	J.	Pers.	Soc.	Psychol.	77(6),	1121–1134	(1999).	
The	effect	of	research-based	instruction	in	introductory	physics	on	a	common	cognitive	bias	RK	Galloway,	SP	Bates,	J	Parker,	E	Usoskina	
2012	PHYSICS	EDUCATION	RESEARCH	CONFERENCE	1513	(1),	138-141	AIP	Conf.	Proc.	1513,	138	(2013);	http://dx.doi.org/10.1063/1.4789671	
• Well	known	cognitive	bias	regarding	the	
extent	to	which	one	can	predict	one’s	
own	ability	(Dunning-Kruger	effect)			
• Less	competent	markedly	overestimate	
their	own	ability	—	“calibration	error	of	
the	self”	
• More	competent	tend	to	underestimate	
their	ability	—	“calibration	error	about	
others”	
• Graph	right	shows	first	year	students	
discrepancy	in	predicting	test	scores,	
split	by	performance	(Q1	high	score	—	
Q4	low	score)
How	well	do	you	know	what	you	know?
Take	home:	students
We	need	to	understand	more	about	what	students	believe	
supports	their	learning	and	embrace	instructional	
approaches	that	explicitly	aim	to	develop	metacognitive	skills
Where technology can drive the student as producer model
Technology - scale and pace
Slide credit: Eric Grimson (MIT)
Technology - scale and pace
Slide credit: Eric Grimson (MIT)
37
http://bgr.com/2014/05/29/smartphone-computer-usage-study-chart/
Technology	implications
• Woven	in,	not	an	add-on;	collaborative	not	
adversarial		
• Consider	assessments:		
-	issues	of	authenticity	and	relevance		
e.g.	paper	vs	online	exams		
		e.g.	digital	media	artefacts	vs	standard	
problem	sheets		
		e.g.	group	vs	individual	contributions
39
http://www.slideshare.net/EdPER_talks/ntu-innovations-in-teaching-seminar-students-as-co-creators
Resources	for	use	in	class
http://blogs.ubc.ca/phys101
41
http://net.educause.edu/ir/library/pdf/eli3035.pdf
42
# SIS
# Connect
# SIS API # CTC3
# IAM
# LTI
# Building
Block
* CoursEval (CEV)
# CTC3 (CTC)
* Exam Prep DB (EDB)
# Grade Export (FGE)
* Identity Detective (IDE)
Collaborative Learning
Annotation System (CLA)
* Copyright Alerts (COA)
* Collaborate (COL)
# Kaltura (KAL)
* Macmillian (MAC)
* Pearson (PEA)
* Wiley (WIL)
* CengageiLrn (CEN)
# Blackboard Mobile
(BLM)
* iClicker (ICK)
* iPeer (IPE)
* Videoscribe (VOS)
* PeerScholar (PRS)
# Grade Export (FGE)
* Camtasia/Snagit (CSN)?
# MediaSite (MDS)
Learning Technology Ecosystem: Current State
# Library OCR (LOC)
ActiveMQ, Rules, Web UI
Application Owner
* CTLT
# UBC IT
Others
Integration
Point
Application
Legend
Data Integration Patterns
Section catalog
Section registration
Student eligibilities
Student names, preferred names
Student email addresses
Instructor/TA assignment
Identifiers, e.g. student number, PUID
* WP Spaces (WPS)
# Web
Services # RISe
Moodle (MOL)
* Turnitin (TIN)
cIRcle (CIR)
Online Evaluation Form
(OEF)
ExamSoft (XSM)
# TeachEval
* UBC Blogs (UBL)
Abacus (ABA)
* Piazza (PIA)
Chem233 (CHM)
* edX – edge (EDX)
* Sapling Learning (SAL)
* Reef (REF)
FOMVideo Server (FOM)
BCC Internship DB (BID)
* WeBWork (WWK)
* Response Map (RPM)
* Calibrated Peer Review
(CPR)
FoMIDManagement
(MID)
Computer Lab Support
(CLS)
# SEoT Datamart (SED)
Panopto (PAN)
Computer Lab Support
(CLS)
* edX – edge (EDX)
* UBC Blogs (UBL)
*# FluidReview (FLU)
* UBC Wiki (UWI)
* Content Management
System (CTS)
January 2016
Not Integrated
Content Authoring Content Delivery Publisher Simulations
Adobe Creative Suite Livescribe Arts File Share Kaltura UBC Blogs / WordPress (Content) Cengage (PIC) Google Cardboard
Articulate Studio MediaSite Cengage iLrn LearnDash UBC Blogs / WordPress (LMS) Macmillan (PIC) Layar
Audacity Microsoft Excel
Connect (Content
Management)
Library Online Course
Reserves (LOCR)
UBC iTunes McGraw-Hill (PIC) Mannequin Simulations
Bb Collaborate Voice
Authoring
Microsoft PowerPoint Document Cameras Lyryx UBC Wiki Pearson (PIC) Motion Control
Camtasia One button Studio DropBox MDID UBC YouTube Sapling Learning (PIC) NeoReality
Collaborative Learning
Annotation System (CLAS)
Panopto Drupal Moodle Vimeo Wiley (PIC) Phet Simulations
Explain Everything Pearson MyTest Dspace Omeka Vitalsource Praxis
Final Cut Pro Prezi edX Owncloud WebAssign VCER
Form Builder Respondus Quiz Entrada Perusall Wikipedia
Hot Potatoes Respondus Studymate Evernote Piazza Wistia
Jing Snagit Exam Prep Database Plone Workspace Portfolios
Keynote Timeline JS Github Podcasts Zimbra Chalk and Wire
Lectora UBC Studios Google Docs Reflector Zoomify Connect (ePortfolio)
Lightboard VideoScribe HTML 5 Flash Cards SourceTree Document Cameras Pep
iBooks SugarSync
Assessment Response System
ACJ Mechanical TA Aplia
Aplia Moodle iClicker
Calibrated Peer Review (CPR) Open Badges UBC Kahoot!
Cengage iLrn PeerScholar Learning Catalytics
Crowdmark PeerWise Poll Everywhere
Entrada Poll Everywhere REEF polling
ExamSoft REEF polling Top Hat
Grade Grinder Remark Turning Point
iClicker Scantron
iPeer Turning Point
LearnDash WebAssign
Learning Catalytics Webwork
Analytics Course Evaluation Course Admin Other
Arts Datamart Blackboard Outcomes Assessment Cengage iLrn 3D printing
Blackboard Outcomes Assessment CoursEval Connect (Grade Center) Google Earth
Connect (Performance Center) SEoT Datamart Doodle iStudiez Pro
Google Analytics TeachEval Entrada SCORM
IBM SPSS Google Calendar Tin Can API (Experience API)
JMP LearnDash
Microsoft Excel Moodle
SEoT Datamart One45
Stata Turnitin
Tableau UBC Blogs / WordPress (LMS)
WebAssign
LEARNING TECHNOLOGY TOOLS - FUNCTIONAL MAP
CONTENT ASSESSMENT
COURSE MANAGEMENT & EVALUATIONINTERACTIONS
Discussion Survey Tool Social Media VC
Piazza Connect (Enterprise Surveys) Facebook Adobe Connect
PulsePress Connect (Surveys) Figure 1 Bb Collaborate Web Conf.
Slack FluidSurveys Google+ BlueJeans
UBC Blogs / WordPress (Discussion) Gravity Forms LinkedIn Google Hangouts
LimeSurvey Twitter Lifesize
Qualtrics Skype
Survey Monkey VC (MedIT)
Vovici WebEx
Take	home:	technology
We	need	to	continue	to	develop	authentic	ways	to	embed	
technology	easily	into	all	aspects	of	academic	programs	(and	
the	infrastructure,	processes	and	support	to	enable	this)
Image	/	Icon	credits
• Figures	from	How	Learning	Works,	Ambrose	et	al.	Chaps	2	and	
3	
• Icons:		
– Stack	of	Books	designed	by	Jeremy	J	Bristol	from	The	Noun	Project	
– Mesh	Network	designed	by	Lance	Weisser	from	The	Noun	Project	
– Excited	designed	by	Austin	Condiff	from	The	Noun	Project	
– Components	designed	by	Iris	Q.	Li	from	The	Noun	Project	
– Group	designed	by	Alexandra	Coscovelnita	from	The	Noun	Project	
– Brain	designed	by	Martha	Ormiston	from	The	Noun	Project
Resources	-	HLW
• 1	page	summary	:	from	CM	website	
• 2	page	summaryBrent,	R.	&	Felder,	R.	(2011).	Chemical	
Engineering	Education	45(4).	257-8.	“Random	thoughts…	how	
learning	works.”		
• 5	page	summary	:	http://goo.gl/lqmSI
http://www.cmu.edu/teaching/principles/index.html
Keynote lecture at 2016 NTU Learning and Teaching Seminar - Students as Partners in Learning and Teaching.

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Keynote lecture at 2016 NTU Learning and Teaching Seminar - Students as Partners in Learning and Teaching.