四国地区

教育システム情報学会

2017年度学生研究発表会

Facilitating Studies Using Neural Network on e-Learning System
Khalifa SY*1, Naka GOTODA*1, Toshihiro HAYASHI*1*1Kagawa University
Email: s17g592@stu.kagawa-u.ac.jp
Abstract：In Senegal as many developing country it has become increasingly difficult for student to focus on learning,define goals, and work toward them. The current communication between the actors of education is not sufficient toadapt to the ever changing world. Designing tools to complete and reinforce their work has become necessary. Thepurpose of this research is to help design an e-learning complemented with neural network that will advise students
depending on their current status. In the e-Learning environment, students can improve their learning. To achievethese goals, we use the evaluation of the students’ performance coupled with the workload they receive. The results
produced are distributed between student and teacher to facilitate their work. This feedback can be used by teachers
to identify parts of their course they should improve. Armed with that knowledge we hope that student can makebetter use of the time they have to prepare for the challenges ahead.
Keywords： E-learning, Neural networks, Performance evaluation, Intelligent Tutoring System, Workload

6The training data is updated.
This is applied to a system where a subject has a set oflessons. Within the lessons, there are the content and it issummarized by key points. To acquire the knowledge thestudent will have to solve a set of assignments. Fig.1
shows the data format of learning material stored and usedin our e-Learning system.

1. Introduction
In Senegal as many developing country it has become
increasingly difficult for student to focus on learning,define goals, and work toward them. The current
communication between the actors (students, teachers,and so on) of education is not sufficient to adapt to theever changing world. Designing tools to complete andreinforce their work has become necessary (1, 2).
The purpose of this research is to design an e-learningthat will advise student on their current status. Thus
optimizing the time management and extracting
information that could be relevant to the users in theimprovement of learning
A student take an assessment. The goal is to measureprior knowledge that would increase the speed ofacquisition. The student for each lesson complete a set of
assignment dependent on a key point. The progress of thestudent are compared to other student (Determine if thestudent needs to put emphasis on the current point). If alesson is too difficult, the lesson is simplified throughdivision by Key points. The student progress is regulated
by policies that are triggered by the comparison of thestudent performance and the overall performance.
The expected result is to generate data that will help
both student and teacher.

Subjectlesson::::::::::::::::::::::::::::::::::::::::::

1 key point
2 key point
3 key point
4 key point
5 key point

Assignment 1.1
Assignment 1.2

Figure 1 Format of learning materials
To start a subject, our system give an assessment. The
goal is to estimate how fast a student can advance.
2.2 The system configuration:

2. Learning control flow
This section explain the features of our e-Learning
system especially focusing on the learning control flow.
2.1 Flow of the system.
The following shows the typical flow of learning for thegiven subjects:
1
First the student will take an assessment,
2
The student for each lesson complete a set of
assignment dependent on a key point,
3
The progress of the student are compared to otherstudent (Determine if the student need to put
emphasis on the current point),
4
If a lesson is too difficult the lesson is simplified
through division by Key point,
5
The result come out, the teacher get the data heneed to update the lesson, andFigure 2 System configuration

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四国地区

教育システム情報学会

2017年度学生研究発表会

student to understand. To make sure the student is notdissuaded to use the material the number of assignment to
do for the student is maintained under six for one key point.
Simplification, this uses the key point of each lesson tocreate sub lessons to divide a material into moremanageable parts. For one lesson with eight key points wecan separate into two lessons with four key points. In thecase two key points are interdependent, since they cannot
be separated they will stay in the same group or be theirown group.
Material update by the teacher allow to gradually
address the flaws in the material. When the teacher
reviews the student’s record s/he will see which part of thelesson has the higher rate of failure. From then first checkif the simplification has solved that problem. If so makethe change permanent. In the case it did not the teacher
can propose a different solution or try solution that havebeen used before if they apply.

In this system configuration shown in Fig.2, we have
five different agents. Among them we have three real
agents and two virtual agents.
Real agents have the following features: The admin is responsible for verifying that the user
registered as a teacher is a really a teacher. Secondly
the admin vetting the content supplied by the teacher, The teacher who is in charge of creating material forthe student to use. Teachers can also review theperformance of the student, and The student who can study access the material review
their record.
On the other hand, virtual agents mean both “virtualteacher” and “virtual student”. They have the following
features:
The virtual teacher will receive the lesson publishedby teacher that no longer use the system, and
The virtual student is a model of the students’performances.
2.3 The neural network and its policies
Our system use a neural network. Its purpose is to estimate
the student situation compared to the norm, for example,
which is overall results of the students in that subject.
While trying to comprehend a lesson the students’ result
depend on the prior knowledge they might have. The
number of opportunities they have to apply the knowledge.
So for these reasons the following simulation have beenmade. Fig.2 shows the simulation result.

3. Expected resultFor the teacher when a large number of student get
stuck at the same problem this material will be marked as
something that must change. First the teacher can know if
simplification solves the issue. Otherwise s/he canimplement other solutions. By adjusting the complexity ofthe material, we can adjust the workload of the student tomanageable level. The student will get to quickly isolate
the points that trouble them and resolve these issues.

4. Summary
In this paper, we described the e-Learning system withneural network for facilitating studies. Especially, thelearning control flow is explained from viewpoints:
typical learning flow, system configuration with real andvirtual agents, and adopted neural network in our system.
By dividing the workload, facilitating student studies
become possible to improve the learning environment. We
hope that student will get the habit of managing theirperformance. As well as allowing the study material toimprove over time
The current status of this study are:
Design of an e-learning system that help student
plan their next step,
Development of NTE, and
Network including time number of assignmentand assessment result.
As for future works, we need to improve the performanceof the neural network, and we implement NTE.

Simulation
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simulation 1

simulation 2

Figure 3 Performance of students depending on numberof assignment and assessment score
The more assignment there are to more likely it is forstudents to understand the lesson. Then the other influenceon the student understanding is the workload. The time thestudent have to complete these assignment.
The followings are more simulation parameters
especially about input and out output data for neuralnetwork calculation: The input data are Assessment(Initial head start), Number of assignment, and Time (thetime required by the student to complete a set). The output
data is Estimated Score.
To complement the network policies triggered by thenetwork results are. The number of assignments
modifying the number of assignment make it easier for theReferences
Roger Marples, "Well-being as an aim of education". In
Roger Marples(ed.), "The Aims of Education", pp.133-144,
Routledge, London and New York(1999)(2) Neil T. Heffernan III, "Intelligent Tutoring Systems have
Forgotten the Tutor: Adding a Cognitive Model of HumanTutors", School Of Computer Science, Carnegie Mellon
University, Pittsburgh (2001)(1)

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