A Correlation Study between Engagement in Learning and Academic
Achievement among College Students
Steven Fernando Zahri
*
, Fiftinova, and Muhammad Yunus
English Education Study Program, Universitas Sriwijaya, Indonesia
Keywords: Students’ engagement in learning, academic achievement.
Abstract: This study was carried out to find the correlation between students’ engagement in learning and their
academic achievement. The sample was selected from the students of the Faculty of Teacher Training and
Education, English Education Study Program in one state university in Palembang, South Sumatra year
2015, 2016, and 2017. A total number of two hundred and thirty-one students were selected. This study
provided not only the correlation between those variables but also the survey of students’ engagement in
learning and the academic achievement of the students as well as the contribution of the students’
engagement to their academic achievement. The instruments used in this study were questionnaire and
documentation. The results of the study highlighted that 90% of the students actively contributed to the
learning process while the rest 10% were passive students. Then, the academic achievement of the students
fell mostly in middle achiever for 84% which is between >2.67 - < 3.66. Moreover, there was a very weak
correlation between those two variables and a small contribution of the students’ engagement to their
academic achievement for about 3%.
1 INTRODUCTION
Students’ engagement in learning or also called as
classroom participation has been a well-known
matter for decades. In general, students are divided
into two types, active and passive. Passive students
may not interact, share their insight, or communicate
and those will influence other participants even the
most enthusiastic one (Emelo, 2013). Therefore,
teachers need to make passive students become
active and active students maintain their activeness.
Moreover, in education, students’ engagement refers
to the degree of attention, curiosity, interest,
optimism, and passion that students show when they
are learning or being taught, which extends to the
level of motivation they have to learn and progress
in their education (Student Engagement, 2016). The
concept of student engagement is predicated on the
belief that learning improves when students are
inquisitive, interested, or inspired, in other words
being active and that learning tends to suffer when
students are bored, dispassionate, disaffected, or
otherwise disengaged, in other words being
passive. Stronger student engagement or improved
student engagement are common instructional
objectives expressed by educators (Student
Engagement, 2016).
Furthermore, Khandai and Illahi (2015) highlight
that academic achievement occupies ‘a very
important place in education as well as in learning
process and has become an index of child’s future in
this highly competitive world’ (p.1). Therefore, the
act of the students who only come and go is
unfavorable because the students’ performance
(academic achievement) takes a crucial part in
producing the best quality graduates who will likely
become a great leader and manpower for the
development of the country’s economic and social
(Ali et al., 2009).
Although every type of students, passive or
active, in the classroom, can get grades above
average or so, Biggs and Tang (2011) further
suggests that active learners are able to obtain a
further level of engagement and thus a higher level
of cognitive learning in their academic work. As it is
suggested that a lot of scholars consider class
participation as an evidence of active learning or
engagement that benefits learning, critical thinking,
writing, appreciation of cultural differences, time
management and interpersonal, listening and
speaking skills (Petress, 2006). Therefore, active
Fernando Zahri, S., Fiftinova, . and Yunus, M.
A Correlation Study between Engagement in Learning and Academic Achievement among College Student.
DOI: 10.5220/0009996000002499
In Proceedings of the 3rd Sriwijaya University International Conference on Learning and Education (SULE-IC 2018), pages 91-96
ISBN: 978-989-758-575-3
Copyright
c
2023 by SCITEPRESS Science and Technology Publications, Lda. Under CC license (CC BY-NC-ND 4.0)
91
students will highly become the best graduates from
the learning outcomes as they are supported with
great result both in academic achievement and in
academic performance. This is in line with the
findings of Biggs and Tang in 2011 who found
students’ participation in the teaching and learning
environment leads to better learning outcomes.
However, there is something to be taken into
account that even though it is widely claimed that
active students’ participation in the college
classroom facilitates both acquisitions of knowledge
and development of problem-solving skills, the
lacking of the actual evidence can either confirm or
deny this hypothesis (Hill, 2007; Murray & Lang,
1997). Sometimes it is hard to say if the students are
truly actively engaged in the lesson or not
considering that, some encouragements cannot be
used in a certain situation as Bergquist and Phillips
(1975) state that:
‘The weakest form of encouragement is to
tell the students “I want or I expect you to
participate in the class and part of your grade
will be based on such participation.” The
problems this present are: A) What specific
on the student’s part count as participation?
Asking questions, answering questions,
giving a report, sharing information? B) How
much of the student’s grade is affected by
participation? And C) What are specific
consequences of not participating?’ (p.3)
Moreover, if the teacher treats the active students
differently, Hill (2007) claims ‘the fear of
embarrassment or of being labeled a “know-it-all” or
“teacher’s pet” may very well prevent the types of
interactions that most teachers desire’ (p.1).
In higher education, students’ engagement in
learning is becoming increasingly crucial
(Handelsman et al., 2005). Moreover, Kuh (2001)
states that universities try to use student’
engagement in learning as a significant part of
higher education assessment. In addition, Murray
and Lang (1997) highlight that higher education
emphasizes the limitations of the lecturing method
of teaching and the need for more engagement from
the students in the classroom. Because the traditional
lecturing-only is losing its charm in the classroom
and students play too passive in lectures. In contrast,
students nowadays are being prepared to face mixed
delivery methods, which exploit group discussion,
dyadic work, and peer review which all of which
reduce lecturing (Rocca, 2010). Moreover, the study
conducted by Murray and Lang in 1997 shows that
at least in certain conditions, active participation in
the college classroom does, in fact, improve student
learning of course content and development of
problem-solving skill.
Therefore, this present study purposed
investigating the sample students’ engagement in
learning and their academic achievement, finding
out the correlation between the two variables, and
finding out the contribution of students’ engagement
in learning to academic achievement.
2 METHOD
This study used percentage analysis to measure both
variables. In addition, regarding the correlation and
contribution, Pearson-product moment correlation
and Regression were used in this study by using
SPSS Ver.23.
2.1 Sample
The sample of this study was all of the students of
English Education Study Program, Faculty of
Teacher Training and Education, Sriwijaya
University who enrolled in the first semester year
2017-2018. The purposive sampling method was
used in this study, so except for the year of 2014, the
total number of sample from all years was 231
students
2.2 Instruments
The following instruments were employed for the
purpose of collecting the data from the sample.
Students’ engagement in learning questionnaire was
administered to the sample to measure their
engagement in learning. The total items of the
questionnaire were 60 items, which were divided
into 3 categories (Affective, Behavior, and
Cognitive). Moreover, the Likert scale was applied
to this questionnaire and it consisted of four options
to choose (Strongly Disagree, Disagree, Agree, and
Strongly Agree). The questionnaire was tried out to
30 non-sample students to check the validity and
reliability. The result showed that 47 items were
valid with R-value exceeded r-table 0.2542 and the
test was reliable with the reliability value of 0.89. To
study the academic achievement, the result of the
latest GPA of the sample was requested from the
administration staff of English Education Study
Program Department. The required data of the GPA
of the sample students were acquired by asking the
administrative staffs in the Faculty of English
Education Study Program. The GPA was broken
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down into high achiever (A), middle achiever (B),
and low achiever (C and below) where A equals to
3.67-4.00, B equals to 2.67-3.66 and C to below
equals to 0-2.66.
3 FINDINGS AND DISCUSSION
3.1 Findings
3.1.1 Students’ Engagement in Learning
Table 1: Students’ engagement in learning from all
years.
Year
Engagement in Learning
Affective Behavior Cognitive
All
Aspects
A P A P A P A P
2015 86 14 66 20 84 10 87 13
2016 82 18 81 15 89 10 92 8
2017 86 14 77 13 92 6 92 8
All Yea
r
85 15 74 16 88 9 90 10
All the data from Table 1 are in percentage and also
A stands for Active while P for Passive. From the
Table 1, taking the perspective of all years and all
aspects, it could be summarized that there were more
students that were active rather than passive students
for every aspect of students’ engagement in learning.
Overall, 90% of the students were active while only
10% of them were being passive in learning.
3.1.2 Balance Engagement
Table 2: Balance engagement of students’ engagement in
learning.
Year
Engagement in Learning
Affective Behavior Cognitive
All
Aspect
s
Balance Balance Balance
Balanc
e
2015 - 14% 6% -
2016 - 4% 1% -
2017 - 10% 2% -
All
Years
- 10% 3% -
Table 2 explained when the students got 50% in the
active category and 50% in the passive category.
Since it could not be classified as passive students or
active students, it was better to put them in balance
category where they were being neither passive nor
active. Thus, from the table above it could be figured
out that only two aspects of the engagement in
learning that had students who were balanced in the
active and passive category. In short, 10% of the
samples in the behavior aspect were classified as
balance and only 3% in cognitive.
3.1.3 Academic Achievement
Table 3: Academic achievement for all.
Year
Academic Achievement (GPA)
High
(≥ 3.67)
Middle
(≥ 2.67 - ≤ 3.66)
Low
(≤ 2.66)
2015 8% 91% 1%
2016 14% 78% 8%
2017 20% 80% 0%
All
Years
13% 84% 3%
It was quite surprising that only 13% of the students
in English Education Study Program for all years
categorized as high achiever while 84% of the
students classified as Middle Achiever. The rest of
the students for only 3% were seen as Low
Achiever.
Table 4: Academic achievement and students’ engagement
in learning.
Students’
Engagement
in learning
Academic Achievement
High
Achiever
Mid
Achiever
Low
Achiever
Active (90%) 12% 76% 2%
Passive (10%) 1% 8% 1%
Table 4 showed how many active and passive
students classified as High Achiever, Mid Achiever,
and Low Achiever in the academic achievement. It
could be seen that there were 2% of active students
who still got in the rank of Low Achiever and 1% of
passive students were categorized as High Achiever.
Overall, Mid Achiever still dominated both in active
and passive students.
3.1.4 Correlation between Students’
Engagement in Learning and
Academic Achievement
From the table 5, it could be concluded that the
results of Pearson-product moment correlation
showed that r-obtained was 0.190 and the p-value is
0.004. Because the p-value (0.004) was lower than
0.05, then H0 was rejected and H1 was accepted. It
means that there was a significant correlation
A Correlation Study between Engagement in Learning and Academic Achievement among College Student
93
between students’ engagement and academic
achievement.
Table 5: Correlation between the two variables.
Correlations
GPA
Questionnair
e
GPA Pearson
Correlation
1 .190
**
Si
g
.
(
2-tailed
)
.004
N 231 231
Questionnaire Pearson
Correlation
.190
**
1
Si
g
.
(
2-tailed
)
.004
N
231 231
**. Correlation is significant at the 0.01 level (2-tailed).
Table 6: Correlation among three aspects of engagement
in learning and academic achievement.
Correlations
Affective Behavio
r
Co
g
nitive
GPA Pearson
Correlation
.214
**
.098 .192
**
Sig. (2-
tailed)
.001 .139 .003
N 231 231 231
**. Correlation is significant at the 0.01 level (2-tailed).
Table 6 showed the correlation between academic
achievement and the three aspects of engagement in
learning. The results of Pearson-product moment
correlation showed that the r-obtained for affective,
behavior and cognitive aspects were 0.214, 0.98,
0.192 and the p-value for those aspects was 0.001,
0.139, and 0.003. Because the p-value for affective
and cognitive engagement was, lower than 0.05, and
then it meant that only affective and cognitive
engagement had a significant correlation with
academic achievement while behavior engagement
did not have.
3.1.5 Contribution of Students’ Engagement
in Learning to Academic Achievement
Considering the Table 7 above as a reference, it
could be explained that the results of the regression
analysis showed that r
2
= 0.036 and adjusted r
2
=
0.032. It means that the contribution of the students’
engagement to academic achievement is 3.2%.
Table 7: The Contribution of engagement in learning to
academic achievement.
Model Summary
Model R R Square
Adjusted R
Square
Std. Error of
the Estimate
1
.190
a
.036 .032 .31255
a. Predictors: (Constant), Total
3.2 Discussion
3.2.1 Students’ Engagement in Learning
In the first part of the questionnaire, the results of
affective engagement showed that 85% of the
students were being active in affective aspect while
only 15% of them were passive. This was also in
line with the study conducted by Jimerson, Campos,
and Grief (2003) who found that the students have
positive feelings toward his teacher. Affective
engagement refers to the students feeling towards
his school, learning, teacher, and peers and also
focusing on the extent and nature of positive and
negative reactions to teachers, classmates,
academics, and school (Appleton, Christenson &
Furlong, 2008). Moreover, affective learning was
supported by students who like to work with others,
focus outward and be interdependent that eventually
helps them to stimulate emotions, motivation and
attitudes such as encouraging themselves to learn
(Apriani, Vianty, & Fiftinova, 2017).
The second part of the questionnaire discussed
the behavior engagement. In behavior aspect, the
students mostly were active as the total percentage
of the students who were active was 74% while
passive 16% and the rest in balance category.
Behavior engagement includes the students’ action
or contribution at school and is investigated through
students’ positive conduct, effort, or participation.
One kind of the questions expressed the participation
in extracurricular activities, attendance and work
habits (Fredricks, Blummenfeld & Paris, 2008).
The last part of the questionnaire was about
cognitive aspect. In this aspect, 88% of the students
were considered as active students whereas only 9%
could be classified as passive and the rest was in
balance category. As cognitive engagement includes
the students’ perception and beliefs regarding the
school and learning also focusing on the level of
investment in learning, it refers to the cognitive
processing a student brings to academic tasks as well
as the amount and type of strategies a student
utilizes (Walker, Greene, & Mansell, 2006).
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3.2.2 Academic Achievement
The students were divided into three categories. The
students were classified as high achiever was 13%,
middle achiever 84% and low achiever 3%.
Academic achievement is divided into three
categories, high achiever for students who got higher
than 3.67, middle achiever for them who got
between 2.67 and 3.66, and low achiever for
students who got lower than 2.66 (Park, Endo &
Goodwin, 2006). Based on Reschly & Christenson
(2006), they propose the notion of academic
engagement as a fourth indicator of students’
engagement. In addition to this Jimerson, Renshaw,
Stewart, Hart, and O’Malley (2011) contend that
academic achievement has been defined as time
spent in academic learning and can be better
explained as an outcome of the student's engagement
(e.g. Grade Point Average [GPA]). According to
that, the question occurred whether there was a
correlation between students’ engagement and their
academic achievement, which is seen as the outcome
of the engagement itself.
3.2.3 Correlation between Students’
Engagement in Learning and
Academic Achievement
It can be concluded that there was a significant
correlation for as p-value (0.004) is lower than 0.05
and the correlation found was about 0.190 and
according to Evans (1996) r-obtained that falls in
0.00 – 0.19 has a very weak correlation. This was in
line with the findings of Okafor (1993), Emah
(1998), Ogunkola (1999), and Domike (2002) cited
in Fakeye and Amao (2013) study who all found a
significant relationship between classroom
participation and students’ level of academic
achievement.
The result above was for the whole questionnaire
not for each aspect. For each aspect, the affective
and cognitive engagement were the two aspects that
had a correlation with academic achievement as both
of them has the p-value lower than 0.05.
Furthermore, affective engagement, which had r-
obtained 0.214, had a weak correlation while for
cognitive engagement, which had 0.192 r-obtained,
the correlation was a very weak correlation.
The reason why behavior did not have a
significant correlation was probably due to the
characteristics of the student itself. Bergquist and
Philips (1975) had stated six styles, which were
Avoidant, Competitive, Dependent, Collaborative,
Participant, and Independent. As it is already known
that every student has its own personality so it was
kind of hard to measure. It can also be seen from the
diverse results of the behavior engagement in
learning of the students.
3.2.4 Contribution of Students’ Engagement
in Learning to Academic Achievement
Lastly, it was found that the contribution was 3.2%
from the engagement in learning to the academic
achievement. Even though it can be categorized as a
small contribution but it is still counted as a
contribution.
Overall, the students who were disengaged and
be passive were probably caused by some factors
that were highlighted by Bergquist and Philips
(1975). The passive students in the affective
category might be caused by frustration and fear,
while apathy could be the main reason why students
become passive in the behavior aspect. Then the
problem of the passive students in the cognitive area
was perhaps the “dependence” factor. Moreover,
they also stated that classroom atmosphere could
determine whether the students can actively
contribute in the learning process. Furthermore,
based on Liu (2001), 90% of active students in
English Education Study Program, Faculty of
Teacher Training and Education, Sriwijaya
University were either in full-participation or
participation in the circumstances, while for 10% of
the passive students was either in marginal
interaction or silence observation.
4 CONCLUSIONS
From all the things that had been discussed started
from the explanation until the interpretation, a
conclusion can be made that sample of the study can
be classified as active in every aspect of engagement
in learning and there was a significant correlation
between the two variables. In other words, the
students’ engagement in learning influenced the
academic achievement of the students even though
the influence of the contribution can be said as a
small contribution.
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