PRE2019 1 Group3
Artificial intelligence in Education
Group Members
| Name | Study | Student ID |
|---|---|---|
| Ruben Haakman | Electrical Engineering | 0993994 |
| Tom Verberk | Software Science | 1016472 |
| Peter Visser |
Planning
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 | |
Introduction
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.