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Study of the flexibility of a Learning
Analytics tool to evaluate teamwork
competence acquisition in different
contexts
Miguel Ángel Conde González
Universidad de León
miguel.conde@unileon.es
Twitter: m_conde
• Introducción
• CTMTC Mehtodology
• The LA tool
• The experiment
• Conclusions
Outline
• Introducción
• CTMTC Mehtodology
• The LA tool
• The experiment
• Conclusions
Outline
Introduction
Access to information
VLE data
TWC
• Introducción
• CTMTC Methodology
• The LA tool
• The experiment
• Conclusions
Outline
CTMTC
Comprehensive Training Model of the Teamwork Competence
MÉTODO CTMTC
WHITE BOX METHOD
USE OF WELL KNOW AND TESTED TECHNOLOGY
IPMA
USEFUL FOR TEACHING AND LEARNING
IPMA
CTMTC
Implementation
FORUMS WIKISCLOUD STORAGE SYSTEMS
COOPERATION
INDIVIDUAL
TRACKING
ANTI PLAGIARISIM
SYSTEMS
DOCUMENTATION
GROUPS
TRACKING
FINAL
OUTCOMES
PARTIAL
OUTCOMES
• Introducción
• CTMTC Mehtodology
• The LA tool
• The experiment
• Conclusions
Índice
The tool
The tool
• Introducción
• CTMTC Mehtodology
• The LA tool
• The experiment
• Conclusions
Outline
Flexibility and Active Tracking
The subjects
• S1. Informatics
• University of León. 70 students. 24% over the final grade
• Students choose their groups, 3 or 4 members per group.
Tools: LMS Forums, whatsapp, wiki, Moodle assignement
block
• S2. Informatics and Programming.
• Politechnical University of Madrid. 186 students. 15% over
the final grade fthe final grade.
• Students choose their groups. 5 up to 7 members. Tools: LMS
Forums, Wiki, Definition of a video and a web page
Tools for a specific topic
Number of Students Average Number of
actions/user
Number of
Groups
S1 64/70 (91.42%) 607.5 23
S2 177/186 (95.16%) 645.2 32
Post/User Average Group Grade Average Individual
Grade
S1 16.2 7.08 6,80
S2 25.5 8.26 8.56
Quantitative results
• Participation and user actions differences
can be motivated by the active checking
strategies of S2
• 1 hour and 40 minutes to check each
group without the tool, 12 minutes with
it
Qualitative results
• Teachers find the tool useful and timesaving.
They suggest to improve the interface, to
include a warning system and to have more
information about single students
• Students are happy to use this kind of
methodologies and they are happy dealing
with a complex project, working as a group,
distributing the efforts, learning how to plan
and schedule the tasks, etc
• Introducción
• CTMTC Mehtodology
• The LA tool
• The experiment
• Conclusions
Outline
• The learning analytics tool and the
methodology are flexible enough to be
applied in different academic contexts
• The tool can be improved
• The methodology and contents about how to
apply it, it is not enough. Students also need
that teachers check how they are progressing
during the application
Conclusions
Study of the flexibility of a Learning
Analytics tool to evaluate teamwork
competence acquisition in different
contexts
Miguel Ángel Conde González
Universidad de León
miguel.conde@unileon.es
Twitter: m_conde

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VII Jornadas eMadrid "Education in exponential times". Miguel Ángel Conde: "Study of the flexibility of a Learning Analytics tool to evaluate teamwork competence acquisition in different contexts". 04/07/2017.

  • 1. Study of the flexibility of a Learning Analytics tool to evaluate teamwork competence acquisition in different contexts Miguel Ángel Conde González Universidad de León miguel.conde@unileon.es Twitter: m_conde
  • 2. • Introducción • CTMTC Mehtodology • The LA tool • The experiment • Conclusions Outline
  • 3. • Introducción • CTMTC Mehtodology • The LA tool • The experiment • Conclusions Outline
  • 7. TWC
  • 8. • Introducción • CTMTC Methodology • The LA tool • The experiment • Conclusions Outline
  • 9. CTMTC Comprehensive Training Model of the Teamwork Competence MÉTODO CTMTC WHITE BOX METHOD USE OF WELL KNOW AND TESTED TECHNOLOGY IPMA USEFUL FOR TEACHING AND LEARNING
  • 10. IPMA
  • 11. CTMTC
  • 12. Implementation FORUMS WIKISCLOUD STORAGE SYSTEMS COOPERATION INDIVIDUAL TRACKING ANTI PLAGIARISIM SYSTEMS DOCUMENTATION GROUPS TRACKING FINAL OUTCOMES PARTIAL OUTCOMES
  • 13. • Introducción • CTMTC Mehtodology • The LA tool • The experiment • Conclusions Índice
  • 16. • Introducción • CTMTC Mehtodology • The LA tool • The experiment • Conclusions Outline
  • 18. The subjects • S1. Informatics • University of León. 70 students. 24% over the final grade • Students choose their groups, 3 or 4 members per group. Tools: LMS Forums, whatsapp, wiki, Moodle assignement block • S2. Informatics and Programming. • Politechnical University of Madrid. 186 students. 15% over the final grade fthe final grade. • Students choose their groups. 5 up to 7 members. Tools: LMS Forums, Wiki, Definition of a video and a web page
  • 19. Tools for a specific topic Number of Students Average Number of actions/user Number of Groups S1 64/70 (91.42%) 607.5 23 S2 177/186 (95.16%) 645.2 32 Post/User Average Group Grade Average Individual Grade S1 16.2 7.08 6,80 S2 25.5 8.26 8.56
  • 20. Quantitative results • Participation and user actions differences can be motivated by the active checking strategies of S2 • 1 hour and 40 minutes to check each group without the tool, 12 minutes with it
  • 21. Qualitative results • Teachers find the tool useful and timesaving. They suggest to improve the interface, to include a warning system and to have more information about single students • Students are happy to use this kind of methodologies and they are happy dealing with a complex project, working as a group, distributing the efforts, learning how to plan and schedule the tasks, etc
  • 22. • Introducción • CTMTC Mehtodology • The LA tool • The experiment • Conclusions Outline
  • 23. • The learning analytics tool and the methodology are flexible enough to be applied in different academic contexts • The tool can be improved • The methodology and contents about how to apply it, it is not enough. Students also need that teachers check how they are progressing during the application Conclusions
  • 24. Study of the flexibility of a Learning Analytics tool to evaluate teamwork competence acquisition in different contexts Miguel Ángel Conde González Universidad de León miguel.conde@unileon.es Twitter: m_conde

Notas del editor

  1. la analítica está profundamente relacionada con grandes conjuntos de datos, técnicas estadísticas y modelos de predicción, de forma que podría pensarse como la práctica de la minería de datos institucionales para producir "inteligencia procesable".
  2. GraphFES
  3. GraphFES
  4. GraphFES