Channel Avatar

Learning Futures @UCQFsfJtHhxPS4pidgd9l1oQ@youtube.com

5.3K subscribers - no pronouns :c

Curated learning and teaching content for Western Sydney Uni


33:31
Dr Lara Fergus - The Future of VAW Primary Prevention
03:07
Gut Motility Project: Community Engagement
03:52
Designing for Learning Showcase 2014
03:27
Basic Standards for learning environments
03:31
Digital learning at UWS and the work of the Central Blended Learning Team
07:38
Graphical Representation of Motion Week 9 4th
06:29
Graphical Representation of Motion Week 9 2nd session
04:43
Graphical Representation of Motion Week 9 3rd
11:42
UWS College 700112 Graphical representation of motion 1
13:04
UWS Learning and Teaching e-conversations: Blended and Online Learning
25:45
Blackboard April 2014 upgrade - Blended Learning Forum October 2014
22:18
Gamification - Blended Learning Forum October 2014
19:47
Use of online quizzes and GoSoapBox - Blended Learning Forum October 2014
04:20
Week 13 - Mixed ANOVA with no interaction
27:12
Week 13 - Mixed ANOVA Part 3
08:37
Week 13 - Mixed ANOVA Assumptions Part 2
04:23
Week 13 - Mixed ANOVA Assumptions Part 4
15:14
Week 13 - Mixed ANOVA Assumptions Part 1
05:52
Options for utilising rich media online - Designing for Learning Quick Byte
08:32
Week 13 - Sphericity
06:30
Week 13 - Mixed ANOVA
09:19
Wk 12 - Repeated Measures ANOVA
16:29
Wk 12 15.1 - Repeated Measures ANOVA Assumptions
13:27
Wk 12 5.1- Repeated Measures Introduction
15:27
Wk 12 - Order Effects and counterbalancing
09:26
Wk 10 - Between subjects Factorial ANOVA with no interaction SPSS example (part1)
02:24
UWS College 700103 Mathematics Using trigonometric ratios to find unknowns
01:55
UWS College 700103 Mathematics Finding unknown sides in right-angled triangles
02:46
UWS College 700103 Mathematics Trigonometric Ratios Sine Rule
03:24
UWS College 700103 Mathematics Trigonometric Ratios Cosine Rule
03:32
UWS College 700103 Mathematics Trigonometric Ratios
01:54
UWS College 700103 Mathematics Pythagoras Theorem
18:29
Wk 10 - Between subjects factorial ANOVA with interaction.
14:33
Wk 10 - Between subjects factorial ANOVA with no interaction
08:10
Wk 10 - Between subjects factorial ANOVA : Introduction
06:54
Wk 10 - Between Subjects Factorial ANOVA with Interaction (relevant output)
10:50
Wk 10 - Familywise error and analysis of factorial ANOVA
03:40
vUWS FLASH : Unit at a Glance Report
08:45
Wk 10 - Between Subjects Factorial ANOVA (checking for normality & homogeneity of variance)
18:34
Wk 10 - Between subjects factorial ANOVA with interaction (simple effects and contrasts)
06:54
Wk 10 - Between Subjects Factorial ANOVA with Interaction (relevant output)
05:52
Wk 10 - Between Subjects Factorial ANOVA with interaction SPSS example
11:32
Wk 10 - Between subjects Factorial ANOVA with no interaction (part 2)
01:14
Helen's Graduate Testimonial - Current position at Interaction Disability Services
10:49
Wk 10 - 5.4 Familywise error and analysis of factorial ANOVA
12:59
Wk 8 - 7.1 Multiple Regression and R2 (re edit)
12:33
Wk 8 - 16.1 remaining assumptions and standard multiple regression
03:14
Wk 7 - 4 3 Calculating the Chi Square (re edit)
05:46
Wk 6 13.1 One Way Chi Square Assumptions (re-edit)
02:42
Cameron's Research Testimonial
04:48
Wk 8 - 7.1 Multiple Regression
10:20
Wk 8 - 16.1 Multiple Regression Assumptions and Output
06:49
Wk 8 - 7.1 What Multiple Regression does
05:46
Wk 6 - 13.1 One Way Chi Square Assumptions
09:24
Wk 6 3.2 Steps to a Chi Square goodness of fit analysis
05:46
Wk 7 4.1 A two way Chi Square
04:00
Wk 7 4.2 Another way to calculate expected frequencies
08:18
Wk 7 4.1 A two way Chi Square example
09:24
Wk 6 - 3.2 Steps to a Chi Square goodness of fit analysis
07:21
Wk 6 - 3.1 What is Chi Square