PETS - Proactively ensuring team success through learning analytics aligned with learning design - Lydia Kavanagh, Carl Reidsema, Esther Fink and Marnie Holt. University of Queensland. | ANZTLC15
While team work is intrinsic to authentic, collaborative learning in higher education, every student and academic has a horror story to tell about group dysfunction and social loafing. Dysfunctional teams often become apparent too late to rectify the problem. We will showcase a multifaceted approach to supporting students in complex team projects in two large (1200+) First-Year Engineering design and build courses at the University of Queensland. The PETS (Proactively Ensuring Team Success) process systematically utilises learning analytics from in-house LTI tools and Blackboard Learn for strategic intervention to support student teams.
Delivered at Innovate and Educate: Teaching and Learning Conference by Blackboard. 24 -27 August 2015 in Adelaide, Australia.
Similar to PETS - Proactively ensuring team success through learning analytics aligned with learning design - Lydia Kavanagh, Carl Reidsema, Esther Fink and Marnie Holt. University of Queensland. | ANZTLC15
Similar to PETS - Proactively ensuring team success through learning analytics aligned with learning design - Lydia Kavanagh, Carl Reidsema, Esther Fink and Marnie Holt. University of Queensland. | ANZTLC15 (20)
PETS - Proactively ensuring team success through learning analytics aligned with learning design - Lydia Kavanagh, Carl Reidsema, Esther Fink and Marnie Holt. University of Queensland. | ANZTLC15
1. PETS - Proactively ensuring team success
Learning analytics aligned with learning design
Authors: Lydia Kavanagh, Carl Reidsema, Esther Fink
Marnie Holt
3. PETS - a systematic approach to team learning
• a multifaceted approach to
creating effective, productive
and happy student teams.
• tested and evaluated and
continuously improved
since 2002
3
Kavanagh, Lydia, Neil, David and Cokley, John (2011)
Developing and disseminating team skills capacities using interactive online tools
for team formation, learning, assessment and mentoring:
Final report: The Australian Learning and Teaching Council
4. PETS process components + ALTC project aims
4
Author/s: Lydia Kavanagh , David Neil, John Cokley
Lead Institution: The University of Queensland
5. How do analytics fit in?
• Personalised notifications +
reminders (don’t fall behind)
• Constructive, just in time support
• Streamlined, targeted effort
(focus and impact)
• Encourage students to set goals,
self- monitor, reflect
• Visualise progress
5
6. Weaving a support net
• Emphasis: a systemic approach
• Track student progress based on
data from a variety of sources
• Targeted personalised support
• Moving from deficit-based to a
strength-based perspective
6
7. It all starts here – Assessment Design
• Focus on
process not
outcome
• Assessment
aligned with
milestones
7
8. Project features
8
• Individual + shared parts
• Able to be split into tasks
• Enough to do for everyone
Assessment type
Explicit training
Project features
Group allocation
9. Setting teams up for success
9
• A fair chance to succeed
• Team allocation (Team Anneal)
based on specified constraints
e.g. Belbin skills inventory, free-rider/ social
loafer, minority of ESL students, gender
• Import team allocations into Blackboard
groups from csv file via Bulk Group
Manager (BGM) bulding block
Assessment type
Explicit training
Project features
Group allocation
10. Explicit training: Working in Teams
10
• Interactive online learning module
• scheduled for redevelopment
(MOOC /UQx)
Assessment type
Explicit training
Project features
Group allocation
11. Explicit training: In-class workshop
11
• Reflect on Team Roles,
strengths and
weaknesses (Belbin)
• Discuss potential
conflict / team
strategies
• Sign a team charter
(goals, rules etc. project
management/ planning)
12. Preventive action at scale
The challenge:
1100+ students and 185+ teams
12
Prevent team dysfunction by:
•identification of teams with conflict
•identification of social loafing
•identification of leaderless teams
•remedial action through mentoring
13. Peer Evaluation (formative)
• Peer Assessment
with PAF tool (LTI)
• Self Evaluation in relation to
Peer Evaluation
• Indicator for group dysfunction
and social loafing
• adjusted group mark to recognise
individual effort
• Varied staff feedback
Tutor / Mentor / Project leader
aligned with design process
13
Reflection
Peer
Feedback
Self-
Evaluation
14. What’s a PAF?
PAF >1.2 Potential tem dysfunction / “Super leader”
1.1 < PAF < 1.2 Leader
PAF = 1.0 Average team member
0.9 < PAF < 1.0 Slightly under par – team probably taken leader’s points
from here
0.7 < PAF < 0.9 Social loafer
PAF < 0.7 Student in danger of failing/ dropping the course/
alienating team
14
SAPA – Self assessment/Peer Assessment
15. Beyond number crunching…
• Moderation is essential.
Many students use the system and
their input can skew results.
•All students should complete
the assessment. We recommend
making it compulsory.
•Only feedback PAF and SAPA.
Comments +individual scores
should be anonymous.
15
16. Mentoring (and monitoring)
• Discuss problems/ strategies
with teaching team (staff)
• Facilitate team meetings - 20 – 60mins
• Team, time, technical
• Dysfunctions
• Ways forward …
• Monitor teams/ students ‘at risk’
16
Mentor
feedback
17. Peer Evaluation (summative)
• Your criteria:
• Quality of work
• Timeliness of work
• Overall input to project
• Teamwork/ leadership
• …
• Divide 100 points between
members.
• Calculate PAF –
apply to team mark.17
Reflection
Peer
Feedback
Self-
Evaluation
20. Dashboard: What you did /How you did
• Student Facing
• Student participation
– What do they have to say? (Student Voice)
– What are they thinking?
(Reflections/Semantic Analyses)
– What are they doing? (Student interaction,
attendance, participation)
• Engagement as evidence
20
Editor's Notes
More information
Kavanagh, Lydia, Neil, David and Cokley, John (2011) Developing and disseminating team skills capacities using interactive online tools for team formation, learning, assessment and mentoring: Final report 2011 Australia: The Australian Learning and Teaching Council
Kavanagh, L., Harrison, J., Cokley, J., and Neil, D. (2010) Proactively Ensuring Team Success: A guide to effective student project teams in higher education, Instructors Manual
Kavanagh, L. and Steer, J. (2007) A process for proactively ensuring student team success: perceptions of students and lecturers, Australasian Association of Engineering Education (AAEE) Conference, Melbourne Dec 2007 AAEE conference proceedings
More information
Kavanagh, Lydia, Neil, David and Cokley, John (2011) Developing and disseminating team skills capacities using interactive online tools for team formation, learning, assessment and mentoring: Final report 2011 Australia: The Australian Learning and Teaching Council
Kavanagh, L., Harrison, J., Cokley, J., and Neil, D. (2010) Proactively Ensuring Team Success: A guide to effective student project teams in higher education, Instructors Manual
Kavanagh, L. and Steer, J. (2007) A process for proactively ensuring student team success: perceptions of students and lecturers, Australasian Association of Engineering Education (AAEE) Conference, Melbourne Dec 2007 AAEE conference proceedings
More information
Kavanagh, Lydia, Neil, David and Cokley, John (2011) Developing and disseminating team skills capacities using interactive online tools for team formation, learning, assessment and mentoring: Final report 2011 Australia: The Australian Learning and Teaching Council
Kavanagh, L., Harrison, J., Cokley, J., and Neil, D. (2010) Proactively Ensuring Team Success: A guide to effective student project teams in higher education, Instructors Manual
Kavanagh, L. and Steer, J. (2007) A process for proactively ensuring student team success: perceptions of students and lecturers, Australasian Association of Engineering Education (AAEE) Conference, Melbourne Dec 2007 AAEE conference proceedings
Identify students at risk
Flag 1: End of week 2
Template A not submitted,
yet to login to Blackboard,
not completed the plagiarism module (data available on 22/03/15)
Flag 2: End of week 4
PIR not submitted
OR non-attendance at Week 3 and Week 4 project session (i.e. has not met team)
Flag 3: End of week 6
two or less pieces of the portfolio package submitted (Templates A, B, C and Ethics Reflection
This project has created a team formation software tool that allows teams to be formed based on specified constraints on the properties of students (e.g. requiring that teams contain at least one software engineer). The tool can be used in a number of team formation scenarios from long-lived teams to session-based teams.
This project has created a team formation software tool that allows teams to be formed based on specified constraints on the properties of students (e.g. requiring that teams contain at least one software engineer). The tool can be used in a number of team formation scenarios from long-lived teams to session-based teams.
Students are allocated to teams at the beginning of Week 1 with teams automatically constructed using established criterias for success;
Learning Analytics track student’s interaction with the resources, identifying those who fall behind or are at risk so that university student services can provide personalized support.
Attendance, in-class engagement (data from learning activities and assessment)
Ensure that team members get the grades they deserve
WebPA(f) is a web-based peer-evaluation tool used to evaluate individual contributions to teamwork. Students are asked to split 100 marks between the members of their team, including themselves, for a set of lecturer-specified criteria.
What does it do?
Summatively: The calculated Peer Assessment Factor (PAF) can be applied to team marks to generate an adjusted mark for each student.
Formatively: Feedback to the team on peer-assessed performance has been shown to be highly efficient in correcting team dysfunction.
How does it work?
The system manages the collection of student responses, calculates PAFs and SAPAs (Self-Assessment over Peer Assessment), and facilitates moderation via a user-friendly dashboard.
Teaching staff can use student comments, PAFs, and SAPAs to identify dysfunctional teams and put appropriate support strategies in place.
ENGG1100/1200 social loafers together in a team
The tool allows staff to easily identify teams that potentially have issues
Learning Analytics track student progress, providing notifications and reminders to ensure students don’t fall behind.
Getset is a non-assessable competencies quiz for incoming First Year students at university to raise students’ awareness of academic expectations and alert them to gaps in their knowledge.
The quiz focuses on Maths, Physics/Mechanics, and Chemistry. Upon completion students receive an individual matrix report showing their knowledge mapped against the prerequisite knowledge for a number of courses. They also receive suggestions for learning resources and support sessions to help them get a good start.
Academics teaching first year course receive aggregated results for the entire cohort to aid preparation.