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PETS - Proactively ensuring team success
Learning analytics aligned with learning design
Authors: Lydia Kavanagh, Carl Reidsema, Esther Fink
Marnie Holt
Teamwork and communication are critical
2
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
PETS process components + ALTC project aims
4
Author/s: Lydia Kavanagh , David Neil, John Cokley
Lead Institution: The University of Queensland
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
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
It all starts here – Assessment Design
• Focus on
process not
outcome
• Assessment
aligned with
milestones
7
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
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
Explicit training: Working in Teams
10
• Interactive online learning module
• scheduled for redevelopment
(MOOC /UQx)
Assessment type
Explicit training
Project features
Group allocation
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)
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
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
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
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
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
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
eLIPSE
18
EAIT
Sci
ITaLi
ITS
Institutional
Support/Faculty
Consolidation
Prototyping –
efficient translation/pipelining
of matured tools for wider impact
Centre for eLearning and Innovation Partnerships in Science and Engineering
• Faculties of Science,
Engineering,
Architecture and IT
• Institute for Teaching
and Learning
Innovation (ITaLI)
• Information
Technology Services
(ITS)
What else?
• Gap-testing
• non-assessable
competencies
quiz for
incoming First
Year students
19
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

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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
  • 2. Teamwork and communication are critical 2
  • 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
  • 18. eLIPSE 18 EAIT Sci ITaLi ITS Institutional Support/Faculty Consolidation Prototyping – efficient translation/pipelining of matured tools for wider impact Centre for eLearning and Innovation Partnerships in Science and Engineering • Faculties of Science, Engineering, Architecture and IT • Institute for Teaching and Learning Innovation (ITaLI) • Information Technology Services (ITS)
  • 19. What else? • Gap-testing • non-assessable competencies quiz for incoming First Year students 19
  • 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

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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.
  6. 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;
  7. 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.
  8. Attendance, in-class engagement (data from learning activities and assessment)
  9. 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.
  10. ENGG1100/1200 social loafers together in a team
  11. The tool allows staff to easily identify teams that potentially have issues
  12. Learning Analytics track student progress, providing notifications and reminders to ensure students don’t fall behind.
  13. 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.
  14. Interactive timeline Dashboard