Grit, Self-Regulated Learning, Self-Determination Theory
and Academic Performance of Generation-Z
Roza Marsaulina Sibarani and Yohana F. Cahya Palupi Meilani
Pelita Harapan University, Jl. M.H. Thamrin Boulevard Tangerang, 15811 Banten, Indonesia
Keywords: Generation Z, GRIT, Self-Regulated Learning, Self-Determination Theory, Student’s Motivation.
Abstract: The purpose of this research is to know the influence of GRIT, Self-Regulated Learning (SRL), and Self-
Determination Theory (SDT) of motivation on academic performance of generation Z college students. The
research was carried out on 425 college students of Business School at ABC private university in Indonesia.
Respondents were collected by using a convenience sampling technique. The CB-SEM approach was used in
data analysis of this research with PLS-SEM program to evaluate. The result has shown that both the GRIT
and SRL process positively influence academic performance, while SDT motivational process does not
influence the academic performance. More, SRL process positively influences GRIT and SDT motivational
process positively influences SRL process. This study aims to provide input for educators and education
managers to understand generation Z behaviour through GRIT and SDT motivation to achieve academic
performance.
1 INTRODUCTION
Based on Statistic Indonesia (BPS), in 2020 there will
be 105 million or 40% millennial generation of the
total population in Indonesia (Alvara Research
Center, 2018). Generation Z (Gen-Z) is the second
wave of the millennial generation that born between
1995 and 2010 with age from 7 to 22-year-old. Gen-
Z is the first generation that is legally and
convincingly be referred to as a digital native, a
generation that was born has become a global citizen
(Twenge et al., 2010).
It is easy for Gen-Z to absorb the theory and
concept of learning when associated with technology
(Holubova, 2015). On the other side, they tend to be
lazy to read printed materials such as books,
magazine, and newspapers. Only 9% of Indonesian
teenagers enjoy reading printed materials, and 97% of
them prefer watching TV (Trimansyah, 2016). Cabler
et al. (2013) stated that most of Gen-Z have a life
expectancy lower than their parents. They mostly
failed and underachieved because of lack of skills,
confidence, motivation, perseverance, and
relationship with teachers and peers (Darnell, 2014).
Persistence, reliance, and motivation are
important factors to make an individual focus on his
interest to achieve his own long-term goals, which
measure through GRIT, Self-Regulated Learning
(SRL) and Self-Determination Theory (SDT) of
motivation. Based on exploration study conducted on
March until June 2017 with qualitative case study
methods through in-depth focus group discussion to
17 informant college students at Business School-
ABC University with the range of Grade Point
Averages (GPA) 2.2 until 3.9 shown how GRIT,
SRL, and SDT influence college students in
achieving good academic performance. Exploration
study differed two groups of informants. The first
group consisted of active students both in class and
students club with a GPA between 2.8 and 3.9. And
the second group consisted of less active students
both in class nor in students club with a GPA between
2.2 and 2.8.
Findings of this exploration study were: (1) The
first group of students was ambitious to graduate on
time with the highest mark and also got a lot of
experience in a student club. They focused on
achieving goals, thus they eager to work hard, able to
manage time and highly motivated. (2) The second
group was highly influence by their friends and
environments. They found difficulties in managing
time. Worse, they did not mind postponing
graduation. (3) Both groups of informants have the
same standard of best graduate with a GPA above 3.5
and within 10 semesters. And both groups were
supported by their parents during their study.
Sibarani, R. and Meilani, Y.
Grit, Self-Regulated Learning, Self-Determination Theory and Academic Performance of Generation-Z.
DOI: 10.5220/0008426900050012
In Proceedings of the 2nd International Conference on Inclusive Business in the Changing World (ICIB 2019), pages 5-12
ISBN: 978-989-758-408-4
Copyright
c
2020 by SCITEPRESS Science and Technology Publications, Lda. All rights reserved
5
Based on the exploration study, this study was
conducted in order to determine how GRIT, SRL, and
SDT affected the academic performance of Gen-Z.
The contribution of this study is to provide input for
educators and education managers to understand how
to manage Gen-Z college students and provide a
conducive learning environment. The research
questions of this study:
1. Does GRIT positively effect on academic
performance?
2. Does Self-regulated learning (SRL) process
positively effect on academic performance?
3. Does the motivational process self-determination
(SDT) positively effect on academic
performance?
4. Does the self-regulated learning process (SRL)
positively effect on GRIT?
5. Does Motivational process self-determination
(SDT) positively effect on the self-regulated
learning process (SRL)?
2 LITERATURE REVIEW
2.1 GRIT
According to Duckworth (2016) and Duckworth et al.
(2017), GRIT is psychological traits that used to
explain individual perseverance and passion to
achieve long-term goals. GRIT comes as the fact that
there are many people easily discouraged when facing
obstacles. They decided to quit rather than to strive
achieving their goals. Duckworth et al. (2007)
measured the constructs of GRIT with 27 items of
questions, which included to overcome setback to
conquer the challenge, to finish the task, to maintain
focu on finishing the task. Those questions were rated
based on a 5-point Likert scale. For Gen-Z that wants
everything to be instant, they might easily to quit
when they have to wait for a process or when they
have to strive to achieve the goals. For a decade, some
researchers have been studied about GRIT.
As a college student, GRIT impacts the learning
process. When facing demanding and burdens
lectures, they do not give up but can through it well
(Reed, Pritschet and Cutton, 2012). GRIT will impact
the perseverance in the learning process. When facing
demanding and burdens lectures, they do not give it
up but through it well (Reed et al. 2012). Duckworth
(2016) and Duckworth et al. (2007) showed that gritty
students outperformed less gritty students. Chang
(2014) studied GRIT for students and found that
GRIT with moderating effects of personality traits
and motivational factors affected academic
behaviors. The researcher mentioned that there is a
relationship between students' GRIT scores and their
academic achievements affected by gender, race and
first language (Reraki et al. 2015).
2.2 Self-Regulated Learning (SRL)
SRL refers to processes and active actions to get
relevant information and skills that necessary for an
individual to achieve the goals. For students, SRL has
positively affected academic performance (Schunk
and Zimmerman, 2008). Related to GRIT, previous
studies conclude that there is a positive relationship
between students’ GRIT and SRL. A student that has
better SRL (ability to do goal setting, self-instruction,
and self-reinforcement regularly) can have better
GRIT. Then the student will plan, monitor and
regulate his own learning (Liao et al. 2012).
2.3 Self-Determination Theory (SDT)
of Motivation
Individual motivation comes from internal (intrinsic)
and external (extrinsic). For a college student,
intrinsic motivation comes from the student himself
such as health (health condition), intelligence and
aptitude (intelligence and talent), interest (interest),
internal motivation (motivation), and how to learn
(learning style). While extrinsic motivation derives
from the school environment, society and the family
(Chue and Nie, 2016). SDT measures the
commitment and motivation of the individual to
achieve the goals are dominantly intrinsic or
extrinsic. Deci and Ryan (1985, 2008) concluded that
there is a positive relation between intrinsic
motivation, learning, and achievement. However,
intrinsically motivated students will persist although
they have a difficult task or condition. SDT shows the
variation in students' learning strategies and academic
performance. Zhou (2015) also stated that SDT and
personality factors were related to academic
performance in a positive way.
2.4 GRIT and Academic Performance
GRIT related to better performance and greater
success in both academia and in the real-world
setting. Research of Duckworth et al. (2017) at the
University of Pennsylvania used SAT scores proved
that GRIT explained variance in GPA beyond that of
intelligence. Gritty students outperformed less gritty
students. Then Grit scores positively affected GPAs
and even stronger when controlling SAT scores.
Jaeger et al. (2010) studied at Northeastern University
ICIB 2019 - The 2nd International Conference on Inclusive Business in the Changing World
6
GRIT
Academic
Performance
SRL
Process
H1
H
4
H2
H3
H5
SDT of
Motivation
for engineering students. The results showed that
chemical and mechanical engineering students had
the highest GRIT scores that have good academic
performance than computer engineering students that
possessed the lowest GRIT scores. Strayhorn (2014)
tested the effect of grit on the academic performance
of black male students at predominately white
institutions, and that research concluded that college
students were moderately and significantly related to
grit scores in a positive direction, because grittier
black males have higher grades than their less gritty
colleagues. Thus, GRIT can positively relate to
academic performance (Duckworth et al., 2007;
Jaeger et al., 2010; Ivcevic & Brackett, 2014;
Strayhorn, 2014; De Vera et al., 2015).
H1: GRIT positively effects on academic
performance
2.5 SRL Process and Academic
Performance
Strategies in SLR involves the organizing (agency)
process, goal (purpose) and instrumental perception
of an individual. Agency is the ability of individuals
to initiate and direct an action to achieve the expected
goals. The purpose is the goal that is expected to be
achieved from the execution of every action that can
help achieve the goal. For students, SRL has
positively affected academic performance (Cazan,
2012; Effeneya et al. 2013; Silva et al. 2017).
H2: SRL process positively effects on academic
performance
2.6 Motivational Process SDT and
Academic Performance
Deci and Ryan (1985) and Deci and Ryan (2008)
studies concluded that there is a positive relation
between intrinsic motivation, learning, and
achievement. However, intrinsically motivated
students will persist although they have a difficult
task or condition. SDT explains the variation of
learning strategies and academic performance of
students. Zhou (2015) in his study found that SDT
and factors of individual personality were related to
academic performance positively.
H3: SDT of Motivational positively effects on
academic performance
2.7 SRL Process and GRIT
Studies showed that there is a relationship between
GRIT and SRL in a positive way. A student that has
better SRL (able to set goals, to do self-instruction
and self-reinforcement regularly) can have a better
GRIT. Then this student will plan, monitor and
regulate his own learning (Cazan,2012; Liao et
al.,2012; Effeneya et al. 2013).
H4: SRL process positively effects on GRIT.
2.8 Motivational Process SDT and SRL
Process
Previous studies conclude that there is positively
interrelation between SRL and SDT. Because student
employs strategies which can undermine the
achievement of their academic goals. It means
students SDT has a positive causal relationship with
SRL (Rattan et al. 2012; Abram, 2015; Bergin and
Bergin, 2015).
H5: SDT of Motivational positively effects on SRL
process.
Fig. 1: Research Model.
3 METHODOLOGY
The object of this research is an academic
performance with independent variables of GRIT,
SRL process, SDT of Motivation. The subject of
research is Gen-Z students at Business School, ABC
University. This research is quantitative research
(deductive) that will test the hypotheses, models, and
theories (Sekaran and Bougie, 2016). The sample
type is non-probability based on convenience in the
study.
To get used to the data, pretest (preliminary) and
actual test were conducted. Pretest applied to 70
respondents to ensure the questionnaire is
understandable, valid and reliable. For the actual test,
Grit, Self-Regulated Learning, Self-Determination Theory and Academic Performance of Generation-Z
7
the sample is 425 students. This number comes from
the population of 1715, who are the active students at
Business School, ABC University. As the population
is known, the sampling technique used in the actual
test is Slovin Formula (based on Slovin formula, it
needs a sample of 324 students).
The questionnaires are measured with 5-point
Likert scale, ranging from points 1 = strongly
disagree, 2 = disagree, 3 = neutral, 4 = agree and
points 5 = strongly agree. Then the questionnaire is
analyzed used Partial Least Square program, which is
one of the Structural Equation Modeling (SEM)-
based statistical methods variants designed to resolve
multiple regressions as they occur specific problems
in the data and multicollinearity, does not require
normally data. In evaluating the model Smart PLS
version, 3.2.4 is done by testing the outer model and
the structural or inner model. Outer model testing
aims to assess the validity and reliability of the model
(Sekaran and Bougie, 2016).
To measure the convergence validity, this
research uses the measurement of Average Variance
Extracted (AVE) score and loading factor. Ghozali
and Latan (2015) explain that to be valid, the AVE
score should be greater than 0.5; and the loading
factor should be more than 0.7. While the
discriminant validity is measured by the value of
cross loading for each variable. To be considered
valid, the score must exceed the value of 0.70.
Reliability was measured by applying the Cronbach’s
alpha test with the point of minimum 0.7 for
coefficient alpha.
The structural model evaluation predicts the
relationship between latent variables (Ghozali and
Latan, 2015). In Smart PLS software, the structural
model is evaluated by using the R-square score for the
dependent variable. Then, the path coefficient or t-
values of each path for inter-variable significance also
tests in the structural model. Ghozali and Latan
(2015) stated that the score shown by T-value, should
be above 1.65 with a significant level of 0.10; value
must exceed 1.96 at a significant level of 0.05 and
should exceed 2.58 on a significant level of 0.01. This
study uses a significant level of 0.05, so the t-value
must be greater than 1.96.
4 FINDINGS AND DISCUSSIONS
4.1 Descriptive Analysis of
Respondents Actual Study
Majority of respondents are female; 20-21 years old;
with GPA 2.5-2.9; not a member of student ‘s
organization; have no experience as lecturer
assistance; have a target to finish the study within 3.5
years. More, the respondents are active students
without other activities, not work at other institution
and have no personal business. Thus they should be
only focusing on their study. Majority of respondents
(52,94%) has a GPA above 3.0.
4.2 Validity and Reliability of
Preliminary Study
All variables are valid, because AVE of GRIT (0.51);
AVE of SRL Process (0.52); AVE of SDT of
Motivation (0.57), and AVE of Academic
Performance (0.53) are all above 0.5. The
measurement of convergent validity in the
preliminary study was tested using the loading factor.
The indicator G5 (I want to get the best GPA in my
batch) with the value of 0.571 was removed from
actual study analysis because it is not valid (< 0.6).
All indicators are reliable if the value of composite
reliability is more than 0.7. The composite reliability
value shows all variables meeting the criteria in
which all values are greater than 0.7. CR for GRIT
(0.80); CR for SRL Process (0.81); CR for
Motivational process SDT (0.84) then CR for
Academic Performance (0.82). All indicators are
reliable since all of them have a value above 0.8.
4.3 Outer Model of Actual Test
Table 1 shows that AVE root-square value is higher
than the correlation value, thus satisfying the
discriminant validity. Then, in performing the actual
research reliability test, will be seen from the value of
composite reliability. This is because the resulting
value of Composite Reliability (CR) is higher than
Cronbach’s alpha. CR for GRIT (0.744); CR for SRL
Process (0.77); CR for SDT of Motivation (0.70) then
CR for Academic Performance (0.74). Indicators
categorized as high reliability if it has value above
0.8. In this study, all variables have moderate
reliability because each indicator has a value above
0.6.
ICIB 2019 - The 2nd International Conference on Inclusive Business in the Changing World
8
Fig. 2: Model and structural modeling relationships.
Table 1: Fornell Lacker of Actual Study.
GRIT
SRL
Process
SDT of
Motivation
Academic
Performan
ce
0.778
0.040
0.774
0.396
0.024
0.786
0.124
0.422
0.068
0.796
4.4 Structural Model (Inner Model) of
Actual Study
The initial step in evaluating the structural model
begins by testing multicollinearity by calculating the
Variance Inflation Factor (VIF) value. A variable can
be said to be multicollinearity if VIF value is greater
than 10 or greater than 5 (Ghozali and Latan, 2015)
Since VIF for GRIT (1.21); VIF for SRL Process
(1.01); VIF for SDT of Motivation (1.22) and VIF for
Academic Performance (1.00) are less than 5, each
variable in this study does not multicollinearity.
The structural model is evaluated by using the
SmartPLS program by considering the value of R-
square, for each endogenous latent variable as the
predictor force of the structural model (Ghozali and
Latan, 2015). In this study, the determination
coefficient or R-Square is 0.18 or 18 %, which means
Academic Performance can be explained by the
construct of GRIT, SRL Process, and SDT of
Motivation, while the remaining 82% is explained by
other constructs such as individual personalities,
curriculum, learning atmospheres, parent or core
family education, activity outside learning activities,
teaching styles of lecturers, previous learning
achievements.
After the R-Square calculation, the model is
evaluated. In this phase, the influence between
variables can be assessed through bootstrapping or
jackknifing procedure. This research uses
bootstrapping procedure because the jackknifing
method is considered less efficient than the bootstrap
method because it ignores confidence intervals. The
indication of a hypothesis is supported or not can be
seen from T-value. In this study, T-value is tested
with a one-tailed test with a significance level of 5%.
The hypothesis is significant if T-value is more than
1.96 or P value is not more than 0.05.
Table 2: Structural Model Results.
Hypo
theses
Path
Standar
dized
Coefficie
nt
T-
Statistic
(|o/STDE
V )
P
valu
e
Decisio
n
H1
GRIT
Academic
Performan
ce
0.016
0.317
0.37
5
Not
Suppor
ted
H2
SRL
Process
Academ
ic
Performan
ce
0.409
8.912
0.00
0
Suppor
ted
H3
SDT of
Motivatio
n
Academic
Performan
ce
0.069
1.221
0.11
1
Not
Suppor
ted
H4
SRL
process
GRIT
0.159
3.007
0.00
1
Suppor
ted
H5
SDT of
Motivatio
n SRL
process
0.427
11.142
0.00
0
Suppor
ted
4.5 Discussions
Hypothesis 1, which stated that GRIT positively
effects on academic performance is not supported.
Meaning the result cannot supported previous studies
done by Duckworth (2016), Duckworth et al. (2007),
Jaeger et al. (2010), Ivcevic and Brackett (2014),
Strayhorn (2014), and De Vera et al. (2015).
Respondents did not give a hard effort to achieve
good academic performance (GPA), because only
some group of students who are constantly trying to
improve their value up to can finally pass with a better
Grit, Self-Regulated Learning, Self-Determination Theory and Academic Performance of Generation-Z
9
achievement index when facing difficulties and
failures. Other groups of students responded it
passively and even resigned to face these failures
(Duckworth et al., 2007). There are students who are
willing to retake the same course to increase their
GPA because they think failure effect to permanently
hinder academic success. In this study, GRIT of
college students in very low. However, college
students are still at a labile and immature so that
influential in the resilience to face the challenges that
exist, including in academic achievement.
Hypothesis 2, which stated that the SRL process
positively effects on academic performance is
supported. This study supports previous studies from
Cazan (2012), Effeneya et al. (2013), and Silva
(2014). In this case, respondents have done the
learning process regularly and found the learning
rhythm by themselves. This study shows that a high
level of learning achievement depends on each
individual's efforts, especially in regulated learning
and this is relevant to Azhar et al. (2013).
Hypothesis 3, which stated that Motivational
process SDT positively effects on academic
performance is not supported. This result is contrary
to the studies did by Deci and Ryan (1985) (2008),
and Zhou (2015). Majority respondents stated that
they had not planned their study. They cannot show
persistency, although they have a difficult task or
condition.
Hypothesis 4, which stated that the SRL process
positively effects on GRIT supported. This study
supports previous studies from Crippen & Hartley
(2007), Cazan (2012), Liao et al. (2012), and
Effeneya et al. (2013). Majorities of respondents
stated that he never evaluated his self-learning
process. In this case, respondents with no experience
as lecturer assistance (88,94% of respondents) have
not planned their learning process that affected to his
perseverance, resilience in academic processes. In
line with Duckworth (2007) that states that GRIT
enables one to work hard in the face of challenges,
maintaining business and interest throughout the year
though failure, difficulties or without progress.
Hypothesis 5, which stated that SDT positively
effects on SRL process is not supported. This study
supports previous studies from Rattan et al. (2012),
Abram (2015), Bergin and Bergin (2015). A high
learning motivation influence and shape self-
regulation to learning achievement of college
students. Through self-regulation, college students
will have control in his learning behavior. This SRL
process is also influenced by their family in creating
the values, discipline, and utilization of facilities,
which is relevant to Hastuti (2009).
5 CONCLUSIONS AND FUTURE
RESEARCH
5.1 Managerial Implication
Based on the result of this study, those are some
recommendation for Business School, ABC
University: (1) It is necessary to help the student to be
persistent and passion when facing the learning
challenge. The institution can teach a growth mindset
and GRIT to the students will facilitate long-term
goals and how students achieve them (Hochanadel
and Finamore, 2015). Designing the curriculum with
practice-based and theoretical lessons aimed at the
competency according to the specialization might
help students to have a passion to their study, (2) It is
necessary to maintain positive learning process
through formal and informal learning. Lecturers
should provide regular tasks to stimulate personal
learning. Lecturers should also manage good
interpersonal relationships with students, to motivate
in the management of self-discipline. (3) It is
necessary to seek the student's determination by
motivate them during learning process both in-class
and out -class and then monitoring the result each
semester especially for lower GPA students because
external control can motivate individuals (Deci and
Ryan, 1985). (4) Due to Woolfolk (2008), students
should learn independently. Parents sometimes can
involve in improving SRL process in order to increase
academic performance through role-modeling,
encouraging, facilitating, goal setting, rewarding, and
other processes (Martinez-Pons, 2009). (5)
University should support the process of self-
determination motivation for students through
extrinsic motivation as in the learning process by
considering the reward and punishment.
5.2 Limitation of Study and Future
Research Recommendation
The object of this study is only Business School, ABC
University. Future research suggests enhancing
external validity by using samples from other
universities. Further research is also expected to use
the LISREL-SEM program to be able to estimate
structural models based on strong theoretical studies
to examine the causality relationship between
variables and measure model feasibility and confirm
it in accordance with empirical data. Next research
also needs to add some variables that are not covered
in this research to find out other factors that can affect
the academic performance of college students.
ICIB 2019 - The 2nd International Conference on Inclusive Business in the Changing World
10
ACKNOWLEDGEMENTS
This research can be conducted through the support
of Universitas Pelita Harapan through research
scheme of Faculty of Economics and Business No.
proposal: 002 / ORP / I / 2018
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APPENDIX
Research Survey Questionnaire
GRIT
1
I complete all the tasks, both personal and group
tasks.
2
I am able to overcome various challenges in
completing the tasks.
3
I am persevering in learning even though there
are many challenges.
4
My learning interests do not change from time to
time.
5
I want to be the best among my classmates.
6
I am able to discipline myself in learning and
completing the tasks.
7
I feel capable at completing the tasks.
8
I am able to face various difficulties in learning
and completing the tasks.
9
Failure did not dampen me.
10
I interest in new tasks for every few months.
11
My presence is important for college friends /
student associations.
12
I understand the purpose of each given task.
SDT of Motivation
13
I am motivated in studying and completing the
tasks.
14
I study diligently because I want to get
appreciations from others e.g. appreciations from
parents, friends, boyfriend/girlfriend.
15
I reduce playing time and hanging out with
friends to study more.
16
I realize that if I study diligently my academic
achievement will be good.
17
I have to study because I am a student.
18
I am a reliable student.
SRL Process
19
I write down all of the targets to be achieved in
each semester.
20
I make notes to remember the tasks and
schedules.
21
If my learning target is not achieved, I try to find
out the cause.
22
I do care about my GPA score.
23
I summarize the lecture material with my own
sentence to make it easy to understand.
24
I try to find other references to add learning
material.
25
I read lecture notes just before the exam.
26
I study more when my GPA score dropped.
27
I keep trying to understand the course even it is
difficult and I don't like the subject.
28
I am motivated when I get a lot of assignments
from lecturers because I can test my capability.
29
I feel unsure when working on difficult
assignments or difficult exam questions.
30
I pay close attention when the lecturer explains
the course.
31
At the beginning of the semester, I look for the
learning materials and refrained books to be used.
32
During the exam, I do not try to work on difficult
questions.
33
When I didn't go to class, I ask a friend about the
material and assignments given by the lecturer
34
I ask the lecturer if there were any material that
was not yet understood
35
When I have difficulty working on a task, I will
cheat on a friend's tasks.
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