PRE2019 1 Group3

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Artificial intelligence in Education

Group Members

Name Study Student ID
Ruben Haakman Electrical Engineering 0993994
Tom Verberk Software Science 1016472
Peter Visser


Every week we will have 2 meetings, in between the meetings we will work on individual tasks, results of the individual tasks will be examined in the meetings, the tasks dicussed are the time when the tasks has to be done.

Week Monday (morning) Thursday (afternoon)
1 ALL : choose topic ALL :
literary research
problem definition
make the planning
define structure of the report
2 Ruben : introduction/problem statement
All : wiki page
All : state of the art
Peter : users/stakeholders
Tom: Approach, milestones and deliverables, Who’s doing what


There has been a big increase of technology in education; smart boards, laptops, tablets and online learning systems are now commonly used in classrooms. Artificial intelligence (AI) is however still new and little used. AI can generate exercises based on individual student’s particular needs to give each student personalized questions. This can help students learn faster and keep them motivated. It also reduces the workload for teachers.

Problem Statement

Currently a teacher makes a set of exercises which is the same for all students. In this way the level of the student is not taken into account resulting in questions which are too simple or too difficult. Using AI it is possible to give a student a personal learning program and give exercises that match the level of the student.

State of the art

Stake Holders






Rational Agent Models



Peer Evaluations