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The Use of Heterogeneity to Improve
the Learning Process of Large
Groups of Students
Luis Fdez Gutiérrez del Álamo, *David Bolonio, Miguel Izquierdo, Fernando
Barrio-Parra, Luis F. Mazadiego, Ángel Fidalgo-Blanco
Universidad Politécnica de Madrid
*david.bolonio@upm.es
HIGHSCHOOL
UNIVERSITY
SCHOOL OF MINING AND
ENERGY ENGINEERING
Chemistry?
Technical drawing? HETEROGENEITY
“Every problem is an opportunity in disguise”
John Adams
2
Flow of
Knowledge
Classical
Approach
University
Levels
Homogenizing before starting the lessons
Highschool
University
Zero
courses
3
4
Taking advantage of the heterogeneity
Levels
No “Zero” course
required
Less
Time-Consuming
Collaboration
Highschool
University
University
University
5
External Control
Module of Collective
Intelligence
Computer software to manage the monitoring of
the collective multinivel intelligence
Large group looking collectively for
common goals in a high complexity
context
Professor
Instructor
High level student
Medium level student
Low level student
Multilevel collective intelligence system
Nivel 1: groups
Nivel 2: groups+ instructors
Nivel 3: groups + instructors + professor
Internal Control
Module of Collective
Intelligence
N-1
N-2
N-3
Microgroups looking collectively for
common goals in a high complexity
context
6
Internal Resources
External Resources
Exercises
during class
Evaluation and ControlContinuous
Assessment
Final
Assessment
Student self-control
Instant feedback
Individual and
Group Problems
Evaluation Exam ECAM
Continuous
evaluation of
large group of
students
GamificationMotivation
CommunicationResources
7
DNI
ECAM
*Continuous evaluation of large group of students
Barcode
*Evaluación Continua de Alumnado Masivo
Visual Studio
8
115 students 19 groups
Freely Chosen
Experience
2017-2018
Initial self-assessment results
*Fernández Gutiérrez del Álamo, L. J., Fidalgo-Blanco, Á., & Ramírez Masferrer, J. Á. (2017). Uso de la Adaptabilidad en el aprendizaje de la Expresión Gráfica. Servicio
de Publicaciones Universidad de Zaragoza. http://repositorio.grial.eu/handle/grial/1012
*Reliable Data *Heterogeneous
Experience
Competence(46 students)
9
Effect of heterogeneity in learning
Level of previous
experience of
students
Experience heterogeneity
in the group
M H LM LMH NH NLM n
No experience - - - - 4.0 10.0 3
Low - - 2.7 4.0 - 8.0 5
Medium 6.2 - 6.8 7.5 - 8.0 21
High - 2.0 - 10.0 7.3 - 4
Average 6.3 2.0 6.2 7.3 5.7 8.1
Standard Deviation 3.4 - 3.6 3.1 2.4 2.4
n 10 1 7 8 2 5
Level of previous
competence of
students
Competence heterogeneity in
the group
M LM LMH MH n
Low NA 2.0 1.3 NA 5
Medium 6.9 8.3 8.7 7.1 16
High NA NA 10.0 7.6 12
Average 6.9 4.9 7.5 7.3
Standard Deviation 4.3 3.4 4.2 2.9
n 3 6 4 15
N: No experience/competence
L: low experience/competence
M: Medium experience/competence
H: High experience/competence
More experiences to
validate the system
Statistical analysis
comparing the results
with other yearsHigh marks
High heterogeneity
Students with no or low
experience obtain better results
when the group heterogeneity
increases
Students with medium and high abilities
have better grades when they are in
groups of members with low level of
ability
10
Final Conclusions
As expected, students with higher self-assessed experience or competence have higher final marks
Freely formed groups show random distributions of students (in experience and competence)
High level students get motivated helping low level students
Low level students learn more in high heterogeneous groups, trying to follow
and adapt to the average level of the group
Sinergy grows from the collaboration among students in high heterogeneous groups
The developed software ECAM is very useful and necessary to save time collecting evaluation data
Communication must be improved: in the group, between group and instructors and between
instructors and professor
11
The Use of
Heterogeneity to
Improve the Learning
Process of Large
Groups of Students
Luis Fdez Gutiérrez del Álamo
David Bolonio
Miguel Izquierdo
Fernando Barrio-Parra
Luis F. Mazadiego
Ángel Fidalgo-Blanco
https://innovacioneducativa.upm.es/index.php

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The Use of Heterogeneity to Improve the Learning Process of Large Groups of Students

  • 1. The Use of Heterogeneity to Improve the Learning Process of Large Groups of Students Luis Fdez Gutiérrez del Álamo, *David Bolonio, Miguel Izquierdo, Fernando Barrio-Parra, Luis F. Mazadiego, Ángel Fidalgo-Blanco Universidad Politécnica de Madrid *david.bolonio@upm.es
  • 2. HIGHSCHOOL UNIVERSITY SCHOOL OF MINING AND ENERGY ENGINEERING Chemistry? Technical drawing? HETEROGENEITY “Every problem is an opportunity in disguise” John Adams 2 Flow of Knowledge Classical Approach
  • 3. University Levels Homogenizing before starting the lessons Highschool University Zero courses 3
  • 4. 4 Taking advantage of the heterogeneity Levels No “Zero” course required Less Time-Consuming Collaboration Highschool University University University
  • 5. 5 External Control Module of Collective Intelligence Computer software to manage the monitoring of the collective multinivel intelligence Large group looking collectively for common goals in a high complexity context Professor Instructor High level student Medium level student Low level student Multilevel collective intelligence system Nivel 1: groups Nivel 2: groups+ instructors Nivel 3: groups + instructors + professor Internal Control Module of Collective Intelligence N-1 N-2 N-3 Microgroups looking collectively for common goals in a high complexity context
  • 6. 6 Internal Resources External Resources Exercises during class Evaluation and ControlContinuous Assessment Final Assessment Student self-control Instant feedback Individual and Group Problems Evaluation Exam ECAM Continuous evaluation of large group of students GamificationMotivation CommunicationResources
  • 7. 7 DNI ECAM *Continuous evaluation of large group of students Barcode *Evaluación Continua de Alumnado Masivo Visual Studio
  • 8. 8 115 students 19 groups Freely Chosen Experience 2017-2018 Initial self-assessment results *Fernández Gutiérrez del Álamo, L. J., Fidalgo-Blanco, Á., & Ramírez Masferrer, J. Á. (2017). Uso de la Adaptabilidad en el aprendizaje de la Expresión Gráfica. Servicio de Publicaciones Universidad de Zaragoza. http://repositorio.grial.eu/handle/grial/1012 *Reliable Data *Heterogeneous Experience Competence(46 students)
  • 9. 9 Effect of heterogeneity in learning Level of previous experience of students Experience heterogeneity in the group M H LM LMH NH NLM n No experience - - - - 4.0 10.0 3 Low - - 2.7 4.0 - 8.0 5 Medium 6.2 - 6.8 7.5 - 8.0 21 High - 2.0 - 10.0 7.3 - 4 Average 6.3 2.0 6.2 7.3 5.7 8.1 Standard Deviation 3.4 - 3.6 3.1 2.4 2.4 n 10 1 7 8 2 5 Level of previous competence of students Competence heterogeneity in the group M LM LMH MH n Low NA 2.0 1.3 NA 5 Medium 6.9 8.3 8.7 7.1 16 High NA NA 10.0 7.6 12 Average 6.9 4.9 7.5 7.3 Standard Deviation 4.3 3.4 4.2 2.9 n 3 6 4 15 N: No experience/competence L: low experience/competence M: Medium experience/competence H: High experience/competence More experiences to validate the system Statistical analysis comparing the results with other yearsHigh marks High heterogeneity Students with no or low experience obtain better results when the group heterogeneity increases Students with medium and high abilities have better grades when they are in groups of members with low level of ability
  • 10. 10 Final Conclusions As expected, students with higher self-assessed experience or competence have higher final marks Freely formed groups show random distributions of students (in experience and competence) High level students get motivated helping low level students Low level students learn more in high heterogeneous groups, trying to follow and adapt to the average level of the group Sinergy grows from the collaboration among students in high heterogeneous groups The developed software ECAM is very useful and necessary to save time collecting evaluation data Communication must be improved: in the group, between group and instructors and between instructors and professor
  • 11. 11 The Use of Heterogeneity to Improve the Learning Process of Large Groups of Students Luis Fdez Gutiérrez del Álamo David Bolonio Miguel Izquierdo Fernando Barrio-Parra Luis F. Mazadiego Ángel Fidalgo-Blanco https://innovacioneducativa.upm.es/index.php