An Interface Adaptation Model for LMSs According to Learning Styles
Alana Oliveira
1, 3 a
, Emanuelle Lemos
1 b
, Anderson Galv
˜
ao
1 c
, Carlos S. Soares Neto
2 d
and Mario M. Teixeira
2 e
1
Computer Engineering, Federal University of Maranh
˜
ao (UFMA), Brazil
2
Departament of Informatics, Federal University of Maranh
˜
ao (UFMA), Brazil
3
PhD Program in Computer Science, DCCMAPI / UFMA, Brazil
Keywords:
Learning Styles, Learning Management Systems, Adaptable Systems, User Interface, User Experience.
Abstract:
An LMS adapted to students’ learning styles has the potential to promote more meaningful learning experi-
ences. This work develops an interface adaptation model for LMSs based on Honey and Mumford’s learning
styles. Relevant characteristics of these styles are mapped and serve as basis for an Adaptation Model used
for LMS interface prototyping regarding activist, reflector, theorist and pragmatic students. Information orga-
nization, navigation and presentation are among the aspects considered. A teacher module is also developed
to help instructors create content adapted to different individuals.
1 INTRODUCTION
A Learning Management System (LMS) is a tech-
nological tool that serves as an intermediary in the
teaching-learning process. However, a LMS has, in
general, a standard interface, sometimes differenti-
ated by profile (student, professor, administrative), al-
though it is used by individuals who have different
behaviors, attitudes, interests and motivations.
This creates the need to adapt LMS’s to the partic-
ularities of students, in order to promote more mean-
ingful learning experiences. Among the aspects for
adapting an LMS, the theory of Learning Styles is
of special interest in this work, specifying the pref-
erences of individuals when learning new content.
Knowledge of these styles makes it possible to un-
derstand and describe students’ behavior in a learn-
ing situation, which favors the development of crit-
ical thinking (Coffield et al., 2004). The choice for
learning styles is not unanimous, as pointed out by
(Kirschner, 2017), however that is the approach used
in this work.
In the literature, there are several studies that
approach the adaptation of learning using student’s
a
https://orcid.org/0000-0001-7870-3943
b
https://orcid.org/0000-0002-6451-3708
c
https://orcid.org/0000-0001-6821-9584
d
https://orcid.org/0000-0002-6800-1881
e
https://orcid.org/0000-0001-8771-1478
learning styles as a parameter. Their contributions re-
fer to adaptation at the level of resources, strategies,
order of component presentation and system naviga-
tion. However, there is a lack of research including
adaptation of color, screen layout, formatting, orga-
nization and arrangement of elements on the user in-
terface. Also no research was identified that helps the
teacher in content customization for different learning
styles, as well as projects developed from the perspec-
tive of user experience (UX).
In this context, this research brings contributions
in the area of adaptive learning by addressing two
main actors of an LMS: the student and the teacher.
Thus, we intend to motivate the student in their learn-
ing activities, customizing the LMS interface to their
learning style in order to improve their performance.
As for the teacher, we want to provide an environment
that assists them in the production and customization
of content to different learning styles, but that does
not generate an additional workload in their already
overloaded teaching routine.
This study aims to develop an interface adaptation
model for LMS’s using Honey and Mumford’s theory
of learning styles (Honey and Mumford, 1992) as a
reference. To do so, we use as a starting point the
mapping of the most relevant characteristics of the
different learning styles, in order to determine how
the interface elements will be adapted to the different
student profiles.
From the interface adaptation model, prototypes
Oliveira, A., Lemos, E., Galvão, A., Neto, C. and Teixeira, M.
An Interface Adaptation Model for LMSs According to Learning Styles.
DOI: 10.5220/0011085000003182
In Proceedings of the 14th International Conference on Computer Supported Education (CSEDU 2022) - Volume 1, pages 353-360
ISBN: 978-989-758-562-3; ISSN: 2184-5026
Copyright
c
2022 by SCITEPRESS Science and Technology Publications, Lda. All rights reserved
353
of low-fidelity screens are produced for activist, re-
flector, theoretical and pragmatic students. Adap-
tations include techniques for adapting information,
navigation and presentation. In addition, an interface
prototype is implemented for the teacher, since he/she
is responsible for creating and organizing the content
available in the LMS.
This study complements the methodology we dis-
cussed in (Oliveira et al., 2020) where learning styles
are used as a guideline to automatically recommend
educational content to students of similar profiles by
leveraging their learning style similarities.
Section 2 discusses the theory of Learning Styles
under the perspective of Kolb, and Honey and Mum-
ford’s profile categorization. Section 3 discusses
some aspects and strategies for LMS adaptation while
Section 4 introduces the adaptation model used in this
work. In Section 5, a comprehensive LMS interface
prototyping is carried out considering different as-
pects within an LMS and their mapping to specific
learning styles. Section 6 discusses teachers’ role in
this adaptive scenario and Section 7 sums up with
conclusions and future work.
2 LEARNING STYLES
Personal behavior, reasoning process, forms of ex-
pression and strategies for carrying out tasks are some
of the aspects in which human beings differ from one
another. In this perspective, several scholars advocate
that the learning process is not the same for everyone,
so it is necessary to adapt it to people’s particularities,
such as their level of knowledge, motivation, cogni-
tive style and learning style.
In a review carried out by (Coffield et al., 2004),
71 learning models were identified, divided into five
categories. This work takes Honey and Mumford’s
theory as a reference, which extends Kolb’s initial
proposal.
2.1 Kolb and the Experiential Theory
For David Kolb, learning is a cycle of four stages:
Concrete Experience (CE), Reflective Observation
(RO), Abstract Conceptualization (AC) and Active
Experimentation (AE) (Kolb, 1976). This has been
called an experiential learning model, a proposal em-
phasizing the relevance of experience and different
skills during the process. It is observed that individu-
als show resourcefulness in certain stages, while they
have significant inaptitude in others.
Thus, Kolb proposes a Learning Styles Inventory
(LSI) for the purpose of measuring the weaknesses
and strengths in this cycle and to identify learning
styles (Kolb, 1976). In general terms, the above stages
are organized as a Cartesian plan and four quadrants
are determined referring to the styles identified by the
LSI: divergent, assimilating, convergent and accom-
modating.
2.2 Honey and Mumford’s Learning
Styles
Kolb’s learning cycle, associated with experiences in
the management area, motivated Peter Honey and
Alan Mumford to develop their own cycle and then
the Learning Styles Questionnaire (LSQ) (Honey and
Mumford, 1992) was born. In general terms, Honey
and Mumford defined four learning styles, each one
being directly related to two stages of Kolb’s cycle.
As Figure 1 shows, the four learning styles identi-
fied are activist, reflective, theoretical and pragmatic
(Rosewell, 2005).
Figure 1: Honey and Mumford’s Learning Styles.
3 LMS ADAPTATION ASPECTS
According to (Pereira et al., 2007), Learning Manage-
ment Systems emerged as a technological tool to meet
educational demands, both from schools and universi-
ties, and from the industry, positioning themselves as
an intermediary between the educator and the student.
Traditionally related to distance learning, LMSs have
also been used as a support for face-to-face teaching,
given the variety of resources available.
LMS resources can be classified into four main
axes: information and documentation; communica-
tion; pedagogical and administrative management;
and production (Pereira et al., 2007). In the 2020’s,
with the prominence of remote teaching due to the
COVID-19 pandemic, virtual spaces sometimes be-
CSEDU 2022 - 14th International Conference on Computer Supported Education
354
came the only alternative for maintaining academic
activities, thus LMSs have established themselves as
significant instruments for education as a whole.
LMS customization can help improve learning
experience (Cossul et al., 2020; Thyagharajan and
Nayak, 2007) and is based on criteria related to users’
profiles. Among them, learning styles stand out,
as they reveal relevant characteristics of individuals
(Schmeck, 1998) and can be used to customize teach-
ing strategies.
3.1 Adaptation Methodology
The methodology used to provide the adaptation
model based on learning styles can be divided into
three stages as shown in Figure 2:
Figure 2: Proposed methodology.
The first step maps the most relevant characteris-
tics of Honey and Mumford’s learning styles. In the
second step, we seek to determine how interface el-
ements will be adapted. Finally, interface prototypes
are developed according to the adaptation model.
Moreover, to carry out the adaptation of a sys-
tem, such as an LMS, three components are needed:
the user model, the domain model and the adaptation
model (da Silva, 2017). The User (or Student) Model
in learning systems represents the significant charac-
teristics of the student, including learning styles. The
Domain Model “specifies the conceptual design of
an adaptive hypermedia application” (Aroyo et al.,
2006), since it structures the material to be made
available to the student. The Adaptation Model de-
fines the adaptation semantics, i.e, it relates the data
from the student model to the domain model in order
to provide the desired adaptation.
In the case of the Adaptation Model, (da Silva,
2017) highlights the following items: Exploration
Form (EF), Detailing Order (DO), Composition Or-
der (CO) and Resources. EF refers to content structur-
ing, which can be linear or networked. DO determines
whether content should be presented from general to
specific or vice versa. CO, in turn, establishes the or-
der in which the elements of content are revealed to
the student. Finally, resources refer to content to be
made available to students.
4 ADAPTATION MODEL
In this research, the first step consists in mapping
the most relevant characteristics of Honey and Mum-
ford’s learning styles, which will determine how the
interface elements will be adapted. Eventually, proto-
types of LMS interfaces customized for each learning
style are developed.
By applying the characteristics of the student
model as input parameter to the domain model, the
Adaptation Model is obtained, which in this work in-
cludes activist, reflective, theoretical and pragmatic
learning styles (Figure 3).
Figure 3: Student, Domain and Adaptation models.
In order to adapt the LMS interface, aspects such
as Exploration form, Detailing order, Composition or-
der, Resource types, Color palette, Feedback, Con-
tent organization, and Fundamental components are
considered. Table 1 summarizes these characteristics
organized by learning style as a contribution of this
work.
In general, an activist student is characterized
by a preference for embarking on new experiences
and learning opportunities with an open mind, given
their priority for participation, while, at the same
time, their learning is compromised in situations
that involve well-defined instructions and guidelines.
Therefore, the network exploration form is estab-
lished for this learning style.
Detailing order, in this case, is set from specific
to general and composition order should be activity-
based (Magoulas et al., 2003). These choices for DO
and CO are defined because of students’ preferences
for the active experimentation and concrete experi-
ence stages of the experiential cycle, which indicate
their understanding of the whole is enhanced by ex-
periences and activities in specific situations.
In the case of a reflector, the experimentation form
should be linear, since this student does not benefit
from carrying out activities without proper prepara-
tion, therefore their exploration of the content should
occur in stages. Detailing order is defined as general
to specific, since they need a general overview to in-
vestigate and establish their own conclusions. Com-
position order is based on example (Magoulas et al.,
An Interface Adaptation Model for LMSs According to Learning Styles
355
Table 1: Interface adaptation model.
Activist Reflector Theorist Pragmatic
Exploration
Form
Network Linear Network Linear
Detailing Order Specific to General General to Specific General to Specific Specific to General
Composition Or-
der
Activity-based Example-based Theory-based Exercise-based
Resources Competition, Chal-
lenges, Films, Fo-
rum, Infographics,
Games, and Mind
Maps
Handouts, Digital
Books, Papers,
Documentaries,
Films, Exercise
lists, Podcasts, Rid-
dles, Video lessons,
and Webcasts
Handouts, Digital
Books, Papers,
Documentaries,
Video lessons,
Demo videos, and
Webcasts
Documentaries,
Films, Infographics,
Games, Exercise
lists, and Tutorials
Colors Yellow, orange, red Pink, brown, purple,
green
Blue, gray Crimson, yellow,
green
Feedback Individual vs Class Self-analysis vs
Grade
Timeline Pie chart
Content Organi-
zation
Image and content
title
Image, title and
problem
Image, title and
learning objectives
Image, title and ap-
plications
Fundamental
Components
Forums and Last
updates
Notices and Tasks Last updates and
Forums
Tasks and Forums
2003) due to the fact that their learning is better when
allowed to observe the phenomena under study.
For the theorist, the form of exploration should be
in a network, since they need to inquire, question and
investigate. As their learning depends on their un-
derstanding of theories, detailing order is from gen-
eral to specific and composition order is theory-based
(Magoulas et al., 2003). For these students, the learn-
ing process is based on theories, models, concepts and
facts. Recommended Resources are class notes, dig-
ital books, article, documentaries, videos, and web-
casts.
Pragmatists have a linear exploration form, as
they are more motivated when confronted with clear
guidelines and procedures, thus learning in stages is
more appropriate for them. They are more interested
in practical benefits, so the detailing order should
be from specific to general. Finally, exercise-based
composition order is recommended (Magoulas et al.,
2003), as they prefer learning the content by solving
practical tasks. Since they need to visualize the appli-
cation of the studied content, documentaries, movies,
games, lists of exercises, tutorials, and infographics
are recommended as educational resources.
5 INTERFACE PROTOTYPING
Based on the Adaptation Model, we prototyped three
distinct screen layouts typically found in Learning
Management Systems: student’s view, course view,
and content view.
A common template is used for all screens with
five distinct elements: i) a header, ii) a navigation bar,
iii) a footer, iv) a left sidebar, and v) the main content
area. In (i), we find information identifying system
and user profile. Item (ii) indicates where the user is
located in the environment while the footer (iii) pro-
vides additional information. Items (iv) and (v) have
a flexible layout adaptable to a specific learning style
as directed by the Adaptation Model.
Since colors are important elements in a graphic
representation, we chose to build palettes with five
colors for each style, two of which are fixed and three
are defined according to Table 1 and can be used as
primary, secondary or tertiary colors. Thus, areas (ii)
and (iii) as well as the details of areas (iv) and (v) are
adapted accordingly.
Figure 4: Learning styles color palettes.
5.1 My Courses Screen Adaptation
My Courses module represents all courses a given stu-
dent is enrolled in. The main area is divided into four
CSEDU 2022 - 14th International Conference on Computer Supported Education
356
parts: a menu at the left side (1), a larger center top
area (2), and two smaller areas at the center bottom (3
and 4) as shown in Figure 5.
The left sidebar (1) shows the same items for each
of the learning styles. These items have the same
symbols associated with their descriptions in order
to ensure consistency and system patterns, thus en-
hancing users’ action recognition and system usabil-
ity (Nielsen and Molich, 1990).
The larger area (2) lists a student’s in-progress
courses while the two other areas are adaptable, re-
served for components targeted to specific learning
styles. For an activist profile, Forums and Latest Up-
dates are prominent (Figure 5-a) while, for a reflector,
Notices and Tasks are highlighted (Figure 5-d). For a
theorist, Latest Updates and Forums are visible (Fig-
ure 5-c) while, for pragmatists, Tasks and Forums call
their attention (Figure 5-b).
Besides interaction objects, the color palette is
distinct for each learning style as shown above (Fig-
ure 4). This form of adaptation is compliant with the
page variants technique since acreen layout and other
visible components are presented in different ways for
distinct users (Batista, 2008).
5.2 Course Screen Adaptation
In the Courses module screen (Figure 6), the left side-
bar is divided into two regions: course menu items
are displayed at the top two-thirds, and the student’s
performance is highlighted at the bottom one-third.
Performance information is presented differently ac-
cording to the learning style. The content of the main
area varies in accordance with the Adaptation Model.
An activist obtains feedback on their performance
through a bar graph that shows their individual statis-
tics compared to the class average. Content, in turn, is
presented with an image and title without any access
restrictions (Figure 6-a).
For a reflector, performance feedback compares
student self-analysis to the system’s analysis over
time. Content topics start with a question or problem
for reflection purposes. Since learning style explo-
ration pattern is linear, new topics are unlocked only
upon completion of previous ones (Figure 6-d).
For a theorist, feedback is presented in a line chart
so that they can visualize their performance over time.
Ideally, this graph should be interactive in order to al-
low the student to explore specific mistakes or suc-
cesses. Contents listed present an image, title and ed-
ucational objective. As their form of exploration is
networked, content can be acessed in any order (Fig-
ure 6-c).
A pragmatist has performance data presented as
pie charts for a better understanding. Their form of
exploration is linear, therefore certain navigation re-
strictions between content topics are imposed. Con-
tent list shows a title with an image and it highlights
practical applications and benefits of the content (Fig-
ure 6-b).
5.3 Content Screen Adaptation
Last but not least, the Content module has been
adapted considering Resources, Exploration Form,
Detailing Order and Composition Order, as com-
mented in Section 3.1. The Content screen shown in
Figure 7 exhibits two areas on the left sidebar: the
content navigation area (top) and additional resources
(bottom). The main area on the right side is reserved
for course content.
Content navigation area presents contents so that
the student can understand the structure of the course.
This area has been adapted according to the explo-
ration form (EF). If EF is networked, the whole con-
tent will be readily available to the user for naviga-
tion purposes. If EF is linear, content will be released
gradually according to student progress. In this case,
Link Annotation navigation technique has been used.
The content under study is highlighted in larger bold
letters while other content not currently relevant ap-
pears in a lighter font.
Additional resources refer to materials that are
complementary to student learning. They are indi-
cated based on the types of resources recommended
to their learning style and also based on the detailing
order of these resources. For instance, an activist stu-
dent could find a Mind Map, whose detailing is from
specific to general. To a theorist, on the other hand,
the LMS might recommend a paper discussing a cer-
tain content from a general to a more specific perspec-
tive,
The main area, or content area, presents content
divided into Activity, Example, Exercise and Theory
distributed in four tabs. Tag order is determined by
the learning style composition order. For instance, a
reflective student will see the sequence Example, The-
ory, Exercise and Activity (Figure 7-d). A theorist
student, on the other hand, will find Theory, Exam-
ple, Exercise and Activity, in conformance with their
learning style (Figure 7-c). The exploration form dic-
tates whether all tabs will be open for navigation (the
case of activists and theorists) or will be gradually
made available for reflectors and pragmatists (observe
the padlocks on the tabs).
An Interface Adaptation Model for LMSs According to Learning Styles
357
Figure 5: My Courses screen adapted to distinct learning styles.
Figure 6: Course screen adapted to distinct learning styles.
CSEDU 2022 - 14th International Conference on Computer Supported Education
358
Figure 7: Content screen adapted to distinct learning styles.
6 TEACHER ROLE IN AN
ADAPTABLE LMS
A Learning Management System can be character-
ized as an intermediary between the student and the
teacher, since it mediates the teaching-learning pro-
cess (Pereira et al., 2007).
The teaching practice in an LMS requires the
teacher to be the author of the contents made avail-
able to the students. In the interface adaptation model
proposed in this work, content is presented accord-
ing to the specific Composition Order for the student’s
learning style, as well as complementary materials are
recommended. The recommendation of these materi-
als follows the criteria of the types of Resources indi-
cated associated with the Detailing Order.
As seen above, different learning styles dictate
different content selection, presentation, organization,
exploration and so forth. Management of these dif-
ferent elements, specified in the adaptation model,
should be carried out by the system, not by the
teacher, whose role is to organize and provide con-
tent. The LMS will determine the target student and
how this content will be shown and consumed.
In the adaptable LMS architecture proposed, the
teacher should organize a Lesson Plan to serve as a
road map for a given course. This plan is divided into
three areas: general information, content, and teach-
ing resources.
Teacher’s Course Management screen (Figure 8)
presents the content listing of a specific course as-
signed to an instructor. On the left sidebar, there is
a menu similar to that of students with the insertion
of a Class Profile item in order to present class pref-
erences in terms of learning styles. This serves as a
guideline for teachers when organizing course mate-
rial.
Figure 8: Course Management: content selection.
An Interface Adaptation Model for LMSs According to Learning Styles
359
Figure 9: Course Management: planning.
Also, the Planning screen in Figure 9 contains a
lesson plan with a main area divided into three tabs re-
ferring to different aspects of a class. In addition, the
sidebar has a content navigation area the teacher may
use to organize course material. Finally, the teacher
can choose how to visualize content on the perspec-
tive of different learning styles.
7 CONCLUSION
In this work, the characteristics of learning styles
were mapped in relation to favorable and unfavorable
learning situations, as well as aspects related to pri-
oritization, problem-solving perspective, interaction,
and personal preferences in relation to content. These
characteristics, moreover, serve as parameters for the
development of an LMS Adaptation Model.
The referred model was used for LMS interface
prototyping for activist, reflector, theorist and prag-
matic students. The proposed adaptations included
content selection, navigation and presentation. In
addition, it was provided a teacher interface, in the
form of a lesson plan, to facilitate the organization of
course material for different student profiles.
This resarch brings contributions to the area of
adaptive learning in relation to strategies and re-
sources for learning management environments. As
future work, it is intended to validate the proposed
approach by organizing real courses in an adaptable
LMS.
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