Track 12. Educational Innovation
Authors: Luis Fernández-Gutiérrezdelalamo, David Bolonio, Miguel Izquierdo-Díaz, Fernando Barrio-Parra, Luis Felipe Mazadiego and Ángel Fidalgo-Blanco
https://youtu.be/aEWiHCn1Qm4
Introduction to ArtificiaI Intelligence in Higher Education
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
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
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