Lesson Sequence Optimisation for a Group of Students with Different Learning Styles

Typ
Examensarbete för masterexamen
Program
Complex adaptive systems (MPCAS), MSc
Publicerad
2020
Författare
Standar, Andreas
Landa Vega, Dante
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
When teachers are planning courses there is difficulty in knowing whether or not the course will evoke engagement among the students. This work aims to investigate the possibility of using mathematics, computer science, and pedagogical models to create a lesson sequence optimisation model that can simulate the engagement of a class of students with different preferences when it comes to the lessons they prefer. The model that was developed is solved using evolutionary algorithms, a biologically inspired optimisation method often used to optimise problems with complicated solution spaces. To facilitate this, data was collected from students in upper secondary school, studying the technology programme in the city of Gothenburg with vicinity (N=104) regarding their learning style preferences from Kolb’s Experiential learning theory as well as their lesson type preferences according to a lesson classification model developed for this purpose. Investigations were made to see if there was a correlation between learning style and lesson type preferences in the students, which analysis using Kendall’s rank correlation coefficient disproved. However, the data collected indicates that the population prefers lessons where they receive direct instructions and are working alone. Moreover, simulations were made using the data from the students for eight different optimisation norms. From the simulations an optimal and unique lesson sequence was found to maximise the students’ engagement in the course. From the other optimisation norms the conclusion was drawn that the least engaged student in the class fluctuates the most with different optimisation norms. Thus from the different optimisation norms the conclusion was drawn that a good strategy for a teacher is to focus on the least engaged students.
Beskrivning
Ämne/nyckelord
course planning , optimisation , genetic algorithms , Kolb’s learning styles , lesson classification
Citation
Arkitekt (konstruktör)
Geografisk plats
Byggnad (typ)
Byggår
Modelltyp
Skala
Teknik / material
Index