Active Learning and E-Learning as Strategy Integration to Improve
Motivated Strategies for Learning and Student Engagement
Nur Pratiwi Noviati, Nur Widiasmara, Thobagus Mohammad Nu’man
Department of Psychology, Faculty of Psychology and Socio-Cultural Sciences, Islamic University of Indonesia,
Yogyakarta, Indonesia
Keywords: Active Learning, E-Learning, Motivated Strategies for Learning, Student Engagement
Abstract: This study aims to test empirically whether the integration strategies of active learning and e-learning can be
used to improve motivated strategies for learning and student engagement. The research method used is quasi
experiment. The respondents of this study consist of both male and female students who are still active in one
of the faculties of private universities in Yogyakarta. The numbers of respondents involved were 96 students
(55 experimental group and 41 control group). The measuring tools used are motivated strategies for learning
scale and student engagement scale. Data analysis method used is statistical method with the help of program
facility of SPSS for windows. The results of the data analysis showed that there were significant differences
between the pre-test and post-test scores obtained, but no significant differences between the experimental
group and the control group. However, it can be said that the integration of active learning strategies and
electronic-based learning (e-learning) can be used to improve motivated strategies for learning and student
engagement. Further explanation will be discussed in the following article.
1 INTRODUCTION
Today we have entered the digital age, where all
forms of information can be accessed and obtained
easily by anyone. Similarly, in the world of education
has experienced a paradigm shift, from the
conventional become more modern to be able to
achieve quality education and produce excellent
human resources. This is stated in UU No.20 of 2003
on the national education system, which conveys that
education is a conscious and planned effort to create
an atmosphere of learning and learning process so
that learners can actively develop their potential to
have spiritual, religious, personality, moral
intelligence and skills needed by himself, society,
nation and state.
The quality of a good education can be seen from
the learning process undertaken and learning
achievements obtained by learners. Excelled learners
are students who can graduate well and able to
compete not only locally but also international scope
in Southeast Asia. It is necessary to get attention, in
order to answer the challenge of the determination of
expert competency standards and uniform permit of
experts related to the readiness of ASEAN member
countries in welcoming the Asean Economic
Community in 2015. Therefore, to be able to get
superior human resources is an important thing to
note; in this case is achieving student.
There are many factors that can affect the learning
achievement of the learners themselves, including
teaching staff, teaching methods, facilities that
support the learning process and personal input
learners themselves. To be able to improve the
achievement it is necessary motivation in the
determination of learning strategies and behaviours
that show the student engagement in teaching and
learning process. Because motivated strategies for
learning and student engagement in a positive
potential for improving student success.
In general, motivation is based on a variety of
theoretical frameworks. In the learning process,
motivation is also associated with the internal drive
of students to be able to succeed in academic tasks,
and it is often referred to as achievement motivation.
While in this study achievement motivation focuses
on explaining why a student chooses, issues business,
and how to survive in learning tasks (Nicholls, 1984;
Dweck, 1999). The development of learning
motivation, while improving learning and academic
performance of students not only considers the
components of cognitive learning alone but also
Novianti, N., Widiasmara, N. and Mohammad Nu’man, T.
Active Learning and E-Learning as Strategy Integration to Improve Motivated Strategies for Learning and Student Engagement.
DOI: 10.5220/0008407400330040
In Proceedings of the 2nd International Conference on Learning Innovation (ICLI 2018), pages 33-40
ISBN: 978-989-758-391-9
Copyright
c
2019 by SCITEPRESS Science and Technology Publications, Lda. All rights reserved
33
motivationally. (Pintrich and De Groot, 1990) states
that the knowledge and regulation of cognitive and
metacognitive strategies can be attributed to students
who are motivated and interested in academic
activities. In addition, some other researchers (Paris,
Lipson and Wixson, 1983; Pintrich and De Groot,
1990; Zimmerman, 2008) also consider it necessary
to integrate both aspects of learning in developing a
model suitable for the process, as students need have
the will and skills to gain academic success, and
optimal results.
This concept seeks to explain how students differ
from each other, whether in self-study or how to
evaluate the effects of various aspects of cognitive
and motivational teaching on them (Duncan and
McKeachie, 2005). The basic assumption is that
motivation and learning strategies are not typical of
students but their motivations are dynamic and
limited by context and that learning strategies can be
learned and under the control of the students. That is,
students' motivation varies among education (eg,
more interest and value in freely chosen education
and not on the required education) and their learning
strategies may vary depending on the nature of the
academic task (Duncan and McKeachie, 2005). So it
can be concluded that the motivation of learning
strategies referred to in this study is the orientation of
motivation and the use of learning strategies applied
by students in following the learning process.
On the other hand, student engagement is a
willingness to participate in school routine activities
with cognitive, behavioural, and affective indicators
in performing specific learning tasks (Chapman,
2003). Then (Fredrick, Blumenfeld and Paris, 2004)
further elaborates student engagement through three
dimensions: behavioural engagement, emotional
engagement (e.g. attraction, joy, sense of belonging)
and cognitive engagement (e.g. student effort to
complete the task and strategy used in learning). This
has a positive impact on students' self-development
both short and long term as individuals. The change
of learning paradigm toward student entered learning
is expected to encourage students to be actively
involved in building their knowledge, attitude and
behaviour. In this learning process, students get the
opportunity and facilitated to build their own
knowledge so as to gain a deep understanding which
will ultimately improve the quality of students
(Harden and Crosby, 2000).
Therefore, there needs to be a strategy to
strengthen motivation in the determination of
learning strategies and behaviours that indicate the
involvement of students in the learning process.
Active learning model is considered able to answer
that need. Active learning is a learning technique that
emphasizes the active use of the brain to find the main
idea of matter, solve problems or apply what is newly
learned into a real-life problem (Meyers and Jones,
T., 1993). Active learning is a method that puts the
student as a learning subject and has the potential to
improve creativity or be more active in every learning
activity, both inside and outside the classroom. In this
method students are directed to active learning by
touching, feeling, and looking directly and
experiencing themselves so that learning is more
meaningful and quickly understood by students.
(Meyers and Jones, T., 1993) state that structure used
in active learning method, among others are: (1)
Elements, consisting of lectures and listening
accompanied by an interactive process, writing,
reading and reflecting on the experience gained, (2)
Learning strategy, divided into small groups,
activities that focus on cooperation, case studies,
simulation, discussion, problem solving and journal
reflection, and (3) Learning resources, consisting of
reading material (reading), work tasks, learning
process through technology, etc. The method used in
this learning process may vary, but even if varied, the
purpose of this learning method still refers to the ease
of the students in understanding the lessons even they
will greatly enjoy the lessons to be provided.
In addition to responding to challenges in the
digital era then also need to involve an internet-based
learning process. In this case, implementing internet-
based learning (e-learning) is not just putting teaching
material on the web, but also preparing learning
scenarios that invite active and constructive learners'
involvement in their learning process. It can be said
that e-learning is a learning process that uses internet
technology to send a series of solutions and
information that can improve knowledge and skills
(Rosenberg, 2001). Differences in traditional learning
with e-learning are students can be independent at a
certain time and responsible for the learning process;
the atmosphere will force students to play a more
active role. (Cisco, 2001) state that e-learning is the
delivery of information, communication, and
education online, as well as through the media a set
of tools that support. There are three things that
become a requirement in designing e-learning is
simple, personal, and fast (Purbo, 2002). A simple
system will allow learners to take advantage of
existing technologies and menus. The personal
requirement means that the teacher can interact well
as a teacher communicates with the student in front of
the class. A more personal approach and interaction
will enable learners to be advocated for their progress,
as well as assisted by all the problems they face. Then
ICLI 2018 - 2nd International Conference on Learning Innovation
34
the service is supported by the speed, quick response
to complaints and the needs of other learners. So that
the improvement of learning can be done as quickly
as possible by the teacher or manager.
Therefore, it can be said that the method of active
learning and e-learning can support the learning
process of students. Through these two learning
techniques students will be actively involved in every
learning process, they will be directed by seeing,
feeling and doing directly so that learning is more
meaningful and quickly understood by the students. It
will help students to find effective strategies to learn
and be actively involved in the learning process. So
that students will be able to improve the quality of
learning, both at the level of conceptual knowledge,
as well as at the procedural level. Based on the
description above, the purpose of this research is to
answer the research question: can active learning and
e-learning as strategy integration improve the
motivated strategies for learning and student
engagement of the students.
2 METHOD
2.1 Participants
All participants in this study were active students
(students who had entered the second year of lectures
in four-year study period). Participants involved were
96 students (55 experimental groups and 41 control
groups), all of whom were involved continuously for
28 sessions in the classroom learning process. The
scale of the study was distributed online in the
experimental group, while in the control group was
distributed manually on paper scale.
2.2 Procedures
This study was a quasi-experimental study with a pre-
posttest control group design. This design aims to
examine the effect of treatment on the treated group
(experiment) and the untreated group (control)
through several criteria. Subject selection is done by
matching. Matching is an attempt to select
participants in experimental and control groups based
on the average of participants, such as gender,
religion, and so on (Shadish, Cook and Campbell,
2002). In this study subjects were selected based on
their participation in certain courses held in the
current semester, one class being an experimental
group and one class being a control group.
The experimental study was conducted to
examine the possibility of a causal relationship
between each variable by placing the experimental
group on several treatment conditions and comparing
its resultant effect with the untreated control group
(Azwar, 2009). In this study the measurement is done
before and after treatment is given. The treatment
given to the experimental group is the application of
active learning strategy and electronic-based
learning. The treatment materials and procedures
have been stacked in the module. The control group
is not given any treatment just following the usual
lecture procedure. This research is conducted with
several stages, namely:
2.2.1 Preparation
Researchers conduct a review of treatment needs to
address the problems that arise in the learning process
students. The next step is to develop a module of
active learning strategy and electronic-based
learning. The treatment module is arranged by
researchers based on active learning approach
(Silberman, 2002) and e-learning adapted to course
syllabus. Next set up a measuring tool used for pre-
posttest using goggle form facility, each class is
created a separate link.
2.2.2 Intervention Tools and Materials
Tools used include lecture modules along with
worksheets, video, klasiber (e-learning media).
klasiber developed by the university is one of the e-
learning software that can be used in the learning
process. klasiber uses the same features as goggle
classroom, so how to use it is just as easy as goggle
classroom. Google Classroom is a mixed learning
portico dedicated to every scope of education
intended to find a way out of the difficulty of creating,
sharing and classifying any paperless assignments.
The purpose of blended learning is a formal education
program that enables students to learn (at least in part)
through content and instructions delivered online
with independent control of time, place, sequence,
and speed of learning. While still attending physical
classrooms, face-to-face classroom methods are
combined with computer-based activities. Supporters
of mixed learning present two advantages of this
model, namely the opportunity for data collection and
adjustment of guidance and assessment.
The intervention module is arranged according to
the number of sessions in the lecture that is 28
sessions with duration of 100 minutes each session.
Each session is designed using online learning (i.e.
read material online, work on case studies online,
answer quizzes online, and discuss online using
klasiber), and also active learning method in the
Active Learning and E-Learning as Strategy Integration to Improve Motivated Strategies for Learning and Student Engagement
35
learning process (ie inquiring minds want to know,
group resume, rehearsal practice, active knowledge
sharing, learning start with a question, information
search, think pair and share, role play, and video
critic).
2.2.3 Implementation of Intervention and
Evaluation
The treatment was started by giving pre-test to the
experimental group and control group at the
beginning of the lecture meeting, then treatment was
given to the experimental group. While for the control
group is not given any treatment, just follow the usual
lectures. Then at the last session (28th session) were
given post-test both in experimental group and
control group.
2.3 Instruments
Motivated strategies for learning. Motivated
strategies for learning was measured using a
Motivated Strategies for Learning Questionnaire is a
modification of the measuring instrument developed
by (Pintrich and De Groot, 1990), which consisted of
81 item with Cranach’s alpha reliability of 0.968.
This scale consists of two parts namely the motivation
and learning strategy. The motivation section consists
of three components, namely the value component
that includes the intrinsic goal orientation scale, the
extrinsic goal orientation, and the value of the task;
hope components that include scales to control
learning trust and self-efficacy for learning and
performance; and affective components that include
scales for anxiety tests. The learning strategy part
includes two components: the components of
cognitive and metacognitive strategies that include
scales for exercise, elaboration, organization, critical
thinking, and metacognitive self-regulation; and
components of a resource management strategy that
encompasses the time scale and learning
environment, regulatory efforts, peer learning, and
aid seeking.
Student engagement. The measuring instrument
used is the student engagement scale. This scale is
adapted from the measuring instrument developed by
(Dixson, 2015), which consisted of 19 item with
Cranach’s alpha reliability of 0.848. There are four
aspects that are measured; among others are skills,
emotional, participation or interaction, and
performance.
3 RESULT AND DISCUSSION
3.1 Demographic Profile
An overview of the demographic data obtained from
the data shows the variation in the number of
respondents related to sex, the tools used in the
classroom process, the convenience of using e-
learning, and the constraints faced in using e-learning.
Based on sex data showed male participants in the
experimental group were as many as 14 (25.4%) and
in the control group as many as 14 (34.1%). While the
female participants in the experimental group as
many as 41 (74.6%) and the control group as many as
27 (65.9%).
Furthermore, based on existing data also obtained
information about electronic devices used by students
in the learning process in the classroom. Divided into
5 categories, i.e. students who only use smartphone
(experiment: 5 students, control: 6 students); only use
laptop (experiment: 2 students, control: 1 student);
using smartphones and laptops (experiments: 45
students, controls: 32 students); using laptop and
tablet (experiment: 1 student); and using
smartphones, laptops and tablets (experiments: 2
students, control 2 students). Besides, the information
obtained related respondents related to their
convenience in the application of e-learning process
in the lecture. In the following table 1 there is
information on each group (experiment and control)
during pre-test and post-test.
3.2 Descriptive Statistics
Furthermore, there is also information constraints
faced by participants in following the learning
process by using e-learning either in the experimental
group or control group. The data can be seen in figure
1. In the figure 1 shows the condition faced by the
respondent is A). Bad internet connection; B).
Uncomfortable learning to use laptop / tablet /
smartphone; C). Uncomfortable learning to use laptop
/ tablet / smartphone and bad internet connection; D).
ICLI 2018 - 2nd International Conference on Learning Innovation
36
Table 1: Participant description based on e-learning convenience on pre-test.
Informasi
Pre-test
Post-test
Experiment
Control
Experiment
Control
%
f
%
f
%
f
%
Comfortable
96.4
40
97.6
55
100
40
97.6
Uncomfortable
3.6
1
2.4
0
0
1
2.4
Total
100
41
100
55
100
41
100
Table 2: Description of research data.
Goup
Variabel
Mean
SD
Pre-test
Post-test
Pre-test
Post-test
Experiment Group
Motivated Strategies for Learning
249.56
259.85
38.205
33.357
Student Engagement
65.93
68.65
9.289
9.182
Control Group
Motivated Strategies for Learning
256.76
264.20
32.155
27.299
Student Engagement
65.93
66.73
9.288
8.874
Figure 1: Implementation obstacle e-learning.
Not yet joined in klasiber; e). Lecturers lack e-
learning facilities; F). Not face to face with lecturers;
G). Lecturer late uploading material; H). There are no
obstacles. Based on the data, most of the respondents
in both experimental and control groups questioned
the bad internet connection. While in the control
group appears variations in the lecturer's obstacles are
considered to lack the e-learning facility and late
upload the material. In addition to each group there is
one respondent who still feel less comfortable not
face to face directly with the lecturer.
Based on the results of data analysis, it obtained
the norm description of the study data that contains
the basic functions of statistics, can show in Table 2.
Description of the research data in motivated
strategies for learning in experiment group and
student engagement.
3.3 The Role of Active Learning and E-
Learning as a Strategy in the
Learning Process
Hypothesis test is conducted to fulfil the purpose of
this research is to prove that the treatment of active
learning and e-learning can increase motivation of
learning strategy and student engagement. Based on
result of hypothesis test known that treatment can
increase motivated strategy for learning and student
engagement significantly in experiment group. In the
motivated strategies for learning variable can be seen
from the results of Mauchly's Test of Sphericity
which shows the significance level p = 0.000 (p
<0.05) which means that post-test score depends on
the pre-test score. So the value of F = 0.690 and the
significance level p = 0.000 (p <0.01) in the Test of
Within-Subject Effect indicates that there is a
Active Learning and E-Learning as Strategy Integration to Improve Motivated Strategies for Learning and Student Engagement
37
significant interaction between the learning strategy
motivation score obtained during the pre-test and
post-test. It can be concluded that there is a difference
between the pre-test and post-test conditions in the
experimental and control groups. While the scores
obtained by the experimental group and the control
group did not show any significant difference, it is
seen from the value of F = 0.955 and the significance
level p = 0.331 (p> 0.05).
While the student engagement data variable
shows that the result of Mauchly's Test of Sphericity
shows the significance level of p = 0.000 (p <0, 05)
which means post-test score depends on pre-test
score. So the value of F = 5.360 and the significance
level p = 0.023 (p <0.05) in the Test of Within-
Subject Effect shows that there is a significant
interaction between the student engagement score
obtained during the pre-test and post-test. It can be
concluded that there is a difference between the pre-
test and post-test conditions in the experimental and
control groups. While the scores obtained by the
experimental group and the control group did not
show any significant difference, it is seen from the
value of F = 0.308 and the significance level p = 0.580
(p> 0.05). In Figure 2 the following shows a graph of
changes in conditions occurring before and after
treatment.
This study provides an overview of how the
influence of integration of active learning strategies
and electronic-based learning to motivation of
learning strategies and student involvement. The
results showed that there was no difference between
the experimental group and the control group.
However, on the other hand, the integration of active
learning and electronic learning (e-learning)
strategies can improve the motivation of learning
strategies and student engagement. This is in line with
that proposed by (Appleton, Christenson and Furlong,
2008) which states that the concept associated with
student involvement is student motivation.
Motivation is a matter related to psychological
processes, while student involvement refers to the
extent to which students are actively involved in a
learning activity both in class and outside the
classroom. When students are involved in learning
they will learn, however the lecturer needs to involve
students actively in learning by strengthening it
through active learning (Center for Mental Health in
Schools at UCLA, 2012).
In the motivation of learning strategy variables,
there is no difference in condition between the control
group and the experimental group. However, on the
other hand, there was a change in the motivation of
learning strategies, between the conditions before and
after the integration of active learning and electronic
learning (e-learning) in both experimental and control
groups. This is in line with the opinion of (Taylor and
Parsons, 2011)which states that learning must be
challenging but also interesting. This is important
because appropriate teaching strategies can improve
student motivation. The task must be challenging,
interesting, positive, and supported by appropriate
lecturers and learning climate. Lecturers should talk
about the learning process and how to improve
learning, should discuss the content and processes.
In addition, the findings in this study are also in
line with the results of research conducted by (Allen
and Baughman, 2016) which showed that students
who were involved in classroom activities directly
demonstrated much better knowledge and skills
related to the material discussed in class, and were
more confident with their abilities and motivate them
to apply this knowledge in the future.
Figure 2: Graph of students’ condition before and after
intervention.
ICLI 2018 - 2nd International Conference on Learning Innovation
38
Research conducted by (Chuang, 2014) also
shows that learning is supported by the use of
technology, such as e-learning, making students more
active in class. In addition, students also gain more
knowledge, increase learning motivation, give greater
attention in the classroom, and ultimately can
stimulate interest in learning inside and outside the
classroom. The implication is that students are more
actively involved in classrooms and lecturers /
instructors will be more motivated to teach. This is
further strengthened by the results of (Harandi and
Safiyeh, 2015) research which highlights the
significant relationship between e-learning and
student motivation. Students are more likely to be
motivated when lecturers / instructors apply e-
learning. Correspondingly, (Kim and Frick, 2011)
stated that when students are more motivated to learn,
students are more likely to be involved; and if they
are involved and successful, students are more likely
to achieve learning goals. So in other words, this is an
important suggestion for lecturers / instructors to use
e-learning as a standard tool in instruction / teaching
for students.
In the student engagement variable there was no
difference between the control group and the
experimental group. On the other hand, there was a
change in student engagement, between the
conditions before and after the integration of active
learning and electronic learning (e-learning) in both
experimental and control groups. In the academic
field, research shows that active information
processing improves learning (Catrambone and
Yuasa, 2006). Active learning is important to master
facts and procedures. Active learning requires more
time in the application, but it is very helpful when
having to deal with many new tasks. These findings
are corroborated by (Mahatmya et al., 2012) studies
which conclude that students must actively
participate in achieving and engaging in lectures, on
the grounds that active interaction will encourage
students to grow. Based on several research results it
is known that by applying active learning methods in
the student learning process it can encourage active
student participation in the learning process so as to
get a better understanding of the material taught in the
classroom (Cavanagh et al., 2016). Furthermore,
based on research conducted by (Rodgers, 2008) it
was found that greater online learning interactions
were found to have a positive and significant impact
on student involvement and performance.
4 CONCLUSION
Based on the results of research and discussion, it can
be concluded that the treatment of active learning and
electronic learning (e-learning) can improve the
motivation of learning strategy and student
engagement in the students. However, there was no
difference between the experimental group and the
control group. The limitation of this research is the
provision of role play method which is always present
in each session not only in the experimental group but
also in the control group. This happens because the
presented lecture material is the practice of the
psychological testing instruments used the same and
the procedure must be explained related to
administration and scoring to every student who takes
the course. Therefore, in the next study is expected to
use a more varied test kits and differentiated how to
explain the test tool so that the control group is
maintained condition. In other words, the limitations
of this study are in the form of not being able to
strictly control the active learning method and e-
learning in the control group so for the researcher to
do further research it should be able to control the
situation faced by the control group and can do it in
the laboratory. Because if the real conditions of the
lecture will make morally uncomfortable.
Suggestions for the institution that is expected to
provide support in the form of facilities that can
improve the motivation of learning strategies and
students engagement in the learning process in
lectures by providing an adequate internet connection
and provide training for teachers related skills in
using e-learning facilities.
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