PBLRQA model to the development of metacognitive awareness in pre-service teachers

Journal of Education and Learning (EduLearn)
Vol. 18, No. 1, February 2024, pp. 55~62
ISSN: 2089-9823 DOI: 10.11591/edulearn.v18i1.20977  55
Journal homepage: http://edulearn.intelektual.org
PBLRQA model to the development of metacognitive awareness
in pre-service teachers
Marleny Leasa1
, Mariana Rengkuan2
, John Rafafy Batlolona3
1
Department of Primary Teacher Education, Faculty of Teacher Training and Education, Pattimura University, Ambon, Indonesia
2
Department of Biology, Faculty of Mathematics and Natural Sciences, State University of Manado, Manado, Indonesia
3
Department of Physics Education, Faculty of Teacher Training and Education, Pattimura University, Ambon, Indonesia
Article Info ABSTRACT
Article history:
Received May 26, 2023
Revised Jul 19, 2023
Accepted Jul 31, 2023
Metacognition is one of the key learning skills in the 21st century, with a
strong potential to help students succeed in science learning. Until now, this
metacognitive awareness is less empowered by lecturers in learning. This
study aimed to analyze the problem-based learning (PBL) reading-
questioning-answering (PBLRQA) model's effect on metacognitive
awareness in pre-service teachers. This research is a quasi-experiment with a
pretest-posttest nonequivalent control group design. Determination of the
research sample class was carried out by random sampling. Each learning
model was represented by PBLRQA and PBL class. The number of classes
used was 2, totaling 57 students. The instrument used was the metacognitive
awareness inventory (MAI). This inventory comprised 52 statement items
divided into planning, monitoring, evaluating, and revising skills. An
important finding in this research is that students' metacognitive awareness
in learning with PBL and PBLRQA is not significantly different. Thus, the
PBLRQA and PBL models can still be used in students' science learning to
encourage metacognitive awareness, so that academic success can be
achieved.
Keywords:
Knowledge of cognition
Metacognitive awareness
PBLRQA
Pre-service teachers
Regulation of cognition
Science practicum
This is an open access article under the CC BY-SA license.
Corresponding Author:
Marleny Leasa
Department of Primary Teacher Education, Faculty of Teacher Training and Education
Pattimura University
Dr. Tamaela street, Campus PGSD Ambon 97114, Indonesia
Email: marleny.leasa@yahoo.com
1. INTRODUCTION
Educational researchers have shown that metacognition improves academic achievement [1]. It is
because metacognitive awareness is important in success and failure in achieving learning goals [2]. In
addition, metacognition is a component for self-directed learners in assessing abilities and challenges while
learning and monitoring and regulating students' actions to achieve learning goals [3]. Metacognition
includes metacognitive strategies (e.g., planning, monitoring, and evaluating) and metacognitive knowledge
related to strategies, tasks, and oneself [4]. Metacognitive processes are a sequence of higher skills used to
regulate cognitive, emotional, and motivational strategies during learning [3], [5]. In addition, metacognitive
awareness is a person's awareness related to self-learning, including understanding the object being studied,
learning strategies that are carried out, and how to self-evaluate [6]. Metacognition refers to the experience of
mental awareness, i.e., feelings, thoughts, and awareness [7]. Various studies make strong claims for the
importance of metacognition in student learning. Metacognition contributes about 17% to students' success in
school, while intelligence contributes about 10% [3]. This significant statistic, clearly shows the need for
schools to teach metacognitive awareness effectively [8].

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56
According to Flavell [9] metacognition is likened to a machine that triggers a person's learning and
thinking awareness. It involves recognizing and monitoring one's own cognitive activities and activities as
needed. Metacognition consists of knowledge of cognition and regulation of cognition. Knowledge of
cognition is a person's awareness of his knowledge, for example, related to tasks or another knowledge.
There are at least three forms of knowledge that need to be known, namely declarative, procedural, and
conditional knowledge. Regulation of cognition is interpreted as a person's way/strategy to control his
cognitive processes, for example, strategies related to planning, monitoring, and evaluation [10]. Someone
who has high metacognitive awareness is predicted to have a great opportunity to achieve academic success
[11]. Metacognitive awareness becomes an internal force that encourages someone to plan, monitor, and
evaluate their learning. So, without help from other people, including teachers and parents, students are
independent in managing their learning process. Thus, metacognitive awareness in science learning is the key
to becoming an autonomy learner and academic success [12].
Developing metacognitive awareness is an alternative to support students' academic success. Strong
metacognitive awareness in students triggers them to learn. Students become more sensitive to listening to
messages from within themselves to position themselves for learning tasks. Normally developed
metacognition helps students to master concepts and determine appropriate strategies for learning.
Metacognition allows students to become more skilled in thinking and more effective and efficient in their
learning. When working together in small groups, students can also stimulate each other's metacognition
resulting in better results [13]. Metacognitive awareness has developed and been recognized in the last 50
years because it is considered to make a positive contribution to student learning achievement [14]. For
example, students with stronger metacognitive awareness learn more and perform better than their
metacognitively weak peers [15].
Metacognitive awareness has a strong potential to help students succeed in science learning [12],
[16]. Students with strong metacognitive awareness know how to choose and apply learning strategies and
can solve problems to be successful in their studies [17]. Students can also evaluate the effectiveness of their
strategies as their overall plan and use their evaluations to plan for future learning [18]. These awareness can
positively impact learning and achievement, but many students come to college without strong metacognitive
awareness [19]. To help biological science undergraduates develop these skills, lecturers must understand
how students' metacognition may change in college [20]. One way this can be done is by comparing the use
of metacognitive regulation skills in junior and senior science students [21]. The knowledge gained from this
comparison can then be used to help students improve their use of metsacognition early in their college
careers. Students demonstrate metacognitive knowledge when distinguishing between concepts they know
and those they do not know [13].
Pre-service science teachers need factual, contextual, procedural, and even metacognitive
knowledge and apply this knowledge, attitudes, and science products to their daily lives [22]. Feedback is
important in developing a scientifically accurate understanding of complex science concepts, leading to
improved learning. It is because it provides students with information about what they have done well and
what still needs improvement [23]. Unfortunately, it is difficult for lecturers in science classrooms to provide
enough feedback and direction to help students learn [24]. To balance this factor, innovative strategies must
be implemented to provide feedback on students' learning needs [25].
Students with higher metacognitive awareness can more easily understand concepts and use various
relevant strategies for learning [26]. Metacognitive awareness is a trigger for implementing the strategy as
well as for modifying the chosen approach [27]. Metacognitive awareness can greatly influence learning. So,
prospective elementary school teachers can implement this strategy [28]. One way that can be done to
achieve this goal is to determine when, why, and how students develop best to use this ability. Teachers can
use insights from students who are particularly good at metacognition to help other students increase their
metacognitive awareness [29].
Research shows that in science learning, 25% of teachers do not make enough efforts to empower
students' metacognitive skills [30]. One way to improve this is by learning actively, and creatively, and
having patterns such as problem-based learning (PBL). PBL has the opportunity to increase the
metacognitive awareness of pre-service science teachers. So far, students' low metacognitive awareness is
caused by students' lack of attention in problem-solving. One important aspect of the problem-solving
process is metacognitive awareness [31]. It can be predicted that students' metacognitive abilities are directly
proportional to their problem-solving skills [32]. In addition, PBL has been proven to improve creative
thinking and critical thinking skills [33], as well as problem-solving skills [34], and writing skills [35]. PBL
can also increase students' self-confidence, create an environment that supports group work, improve
interpersonal communication, and build self-awareness [36], [37]. PBL is still considered important for
students in constructing knowledge, scientific reasoning, and increasing intrinsic and external learning [38].

J Edu & Learn ISSN: 2089-9823 
PBLRQA model to the development of metacognitive awareness in pre-service teachers (Marleny Leasa)
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In addition, reading, questioning, and answering (RQA) is proven from the three models used in
learning to have the strongest influence on improving students' metacognition [39]. Research by Bahri [40]
found that implementation of the problem-based learning reading-questioning-answering (PBLRQA) model
helps in improving metacognitive skills and learning outcomes that contribute to student retention. Applying
the RQA model is proven to motivate students to read the assigned learning material. Thus, the designed
learning can be implemented well, and understanding of the learning material can increase to close to 100%.
In addition, RQA can improve students' critical thinking skills and metacognition [41]. RQA can also
increase conceptual knowledge (40.57), questions (34.91), and student's understanding of the learning
material [41], [42]. Therefore, both PBL and RQA models are considered appropriate to be applied in
learning strategies with a constructivist approach. These two models are not only based on the skill of
memorizing concepts or facts but the process of interaction between students and their learning environment
[43]. PBLRQA can be used in developing students' future life skills. PBLRQA can be applied in schools
because it is problem-based, involves problem-solving thinking activities, and correlates with students'
abilities. PBLRQA increases learning motivation, potentially empowering metacognitive skills and
improving student retention [44].
Based on the facts presented in the background of this study, there are not many studies
investigating the contribution of metacognitive awareness with the PBLRQA model. The results of research
so far show that the PBLRQA model can improve metacognition skills [45], [46], learning outcomes and
student motivation [47], besides increasing the cognitive retention of students [48], critical thinking [49],
creativity [50]. However, PBLRQA in facilitating metacognitive awareness for science students has not been
explored. Applying the right learning model helps teachers identify the contribution of metacognitive skills in
the learning process in the classroom. Thus, this study aimed to analyze the effect of the PBLRQA model on
the metacognitive awareness of pre-service teachers.
2. RESEARCH METHOD
2.1. Research design
This research is a quasi-experiment with a pretest-posttest nonequivalent control group design [51].
The independent variable in this research is the learning model, which consists of 2 levels, namely PBL and
PBLRQA. The dependent variable in this research is metacognitive awareness. Metacognitive awareness
measurements were carried out before and after treatment by applying the learning model to both PBL and
PBLRQA treatment groups.
2.2. Population and sample of research
In this study, the population consisted of pre-service elementary school teachers who were in
semester VII and who offered science practicum learning. They are spread into three classes A, B, and C.
Determining the research sample class was carried out by random sampling. Each learning model is
represented by one class as the PBLRQA group and another class as the PBL group. So, there are 57
students.
2.3. Research instrument
The instrument applied was a metacognitive awareness questionnaire. The metacognitive awareness
questionnaire was adapted from the metacognitive awareness inventory (MAI) [52]. This inventory consists
of 52 statement items divided into knowledge of cognition 17 items and regulation of cognition 35 items.
Knowledge of cognition consists of declarative knowledge of 8 items, procedural knowledge of 4 items, and
conditional knowledge of 5 items. Regulation of cognition consists of planning 7 items, comprehension
monitoring 7 items, information management strategies 10 items, debugging strategies 5 items, and
evaluation 6 items. In addition, a student response questionnaire was also given to the implementation of the
PBLRQA and PBL.
2.4. Research procedure
This research aims to compare the effects of PBL and PBLRQA learning models on the
metacognitive awareness of pre-service elementary school teachers. So, to obtain data that suitable in
accuracy and consistency are needed in data collection. The core data in this research is metacognitive
awareness. The research data was collected through the following activities: i) Giving a metacognitive
awareness questionnaire to determine awareness before and after learning in the research classes; ii)
Observing the lesson plan implementation by using the observation sheet and giving a checklist (√) on the
appropriate statement; iii) Giving a questionnaire of student responses to each lecture in a class that uses the
PBLRQA and PBL.

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2.5. Data analysis
The research data were analyzed with parametric statistics. Inferential statistical data analysis
through covariate analysis (ANCOVA) was carried out if necessary for hypothesis testing. Before testing the
hypothesis, metacognitive awareness data in the PBL and PBLRQA learning model treatment groups must
meet the requirements for normality and homogeneity. The dependent variable data, namely metacognitive
awareness, which was initially on an ordinal scale, was transformed into intervals. In data analysis with
ANCOVA, the metacognitive awareness pretest was used as a covariate.
3. RESULTS AND DISCUSSION
Metacognitive awareness data were obtained before and after the treatment of the implementation of
the PBLRQA and PBL learning models in the treatment group. The mean pretest data for metacognitive
awareness in the two treatments is 62.15 and 83.60, indicating that the mean pretest for learning with
PBLRQA is 21.45 points higher than PBL.The mean metacognitive awareness after learning with PBL and
PBLRQA increased to 65.08 and 92.02. So, the mean posttest learning with PBLRQA is 26.94 points higher
than PBL. Hence it is concluded that PBLRQA is better at increasing metacognitive awareness compared to
PBL. Information about students' metacognitive awareness in science practicum learning is shown in
Figures 1 and 2. Notes: declarative knowledge (DK), procedural knowledge (PK), conditional knowledge
(CK), planning (P), comprehension monitoring (CM), information management strategies (IMS), debugging
strategies (DB), and evaluation (E).
Figure 1. Graph of students' metacognitive awareness before treatment
Figure 2. Graph of students' metacognitive awareness after treatment
In Figures 1 and 2, we can see that the most prominent element of metacognitive awareness is
planning. Before and after learning with PBL, the element of metacognitive awareness that students lack the
most is debugging strategies. It is different with PBLRQA before learning, the elements that students lack are
conditional knowledge and comprehension monitoring, and after learning with PBLRQA the elements that
students still lack are information management strategies.
In the research results section, the research results are described concerning the results of statistical
analysis tests. This study aimed to examine the effect of the PBLRQA model on metacognitive awareness in
science practicum concepts. As an important part of hypothesis testing, the prerequisite test consists of

59
normality and homogeneity tests. Normality and homogeneity using residual data. The normality test results
of metacognitive awareness data in learning using PBL and PBLRQA using unstandardized residual values
with linear regression followed by Kolmogorov Smirnov Test and Shapiro Wilk respectively 0.200 and
0.071.
The data homogeneity test was analyzed using Levene's test using residual data with the assistance
of SPSS programme, where the significant value is 0.376. So, metacognitive awareness variables are greater
than alpha (0.05), meaning the data is declared homogeneous. The results of the prerequisite analysis show
that the data meets the requirements for hypothesis testing. Hypothesis testing was conducted using
ANCOVA with the assistance of SPSS 16.00. The metacognition awareness test using the metacognitive
awareness questionnaire was conducted twice. The first time was done before the treatment was given, and
the second time was done after the treatment ended, with the period for the pretest and posttest. The
ANCOVA results is shown in Table 1. Table 1 shows that there is no significant difference in metacognitive
awareness between the PBLRQA and PBL treatments by controlling for students' pretest metacognitive
awareness [𝐹(1.54) = 0.345, 𝑝 = 0.559, ƞ𝑝2 = 0.006].
Table 1. ANCOVA test results of the effect of learning model on metacognitive awareness
Source Type III sum of squares df Mean ssquare F Sig. Partial eta squared
Corrected model 1100.717a
2 550.358 7.076 0.002 0.208
Intercept 4080.112 1 4080.112 52.456 0.000 0.493
MA_PRETES 1068.662 1 1068.662 13.739 0.000 0.203
Model 26.848 1 26.848 0.345 0.559 0.006
Error 4200.171 54 77.781 - - -
Total 252220.064 57 - - - -
Corrected total 5300.888 56 - - - -
R squared = 0.208 (Adjusted R squared = 0.178), Dependent variable: MA_POSTTES
The results show that the PBL and PBLRQA has the same potential to increase metacognitive
awareness. The PBLRQA has the potential to trigger metacognitive awareness. This learning model helps
students organize themselves in learning, for example, planning, implementing, and evaluating their learning
[53]. PBL and PBLRQA syntax have the same goal, namely developing independent learning or self-
regulated learning so that students can organize, supervise and control their learning (self-regulated). The
PBL stage of learning with PBLRQA and PBL provides opportunities for students in groups to study
problems, understand, and think of the best ideas as solutions. In RQA, there is a reading phase where
students can use various information or learning materials prepared by the lecturer. Reading is a complex
learning activity. Students usually try to achieve reading comprehension. Therefore, metacognitive awareness
is needed to encourage students to understand their reading. In this case, students can use strategies such as
underlining, finding keywords, and looking for new vocabulary. So, awareness of these activities or tasks is a
form of metacognitive awareness that was followed by implementing various strategies. The success of
students in completing reading challenges maybe changes students' self-concept about reading, that reading is
useful and a fun activity [54].
In addition, students can add or search for similar information or supporting information in reading to
compare or analyze the various truths of the information. Another important phase of RQA learning is
questioning. In this phase, students formulate questions as a form of planning in learning, but it also helps
encourage metacognitive awareness [40]. Questioning is a student's attempt to express curiosity and express
intelligence about something that requires further explanation. Formulating good questions is a creative act and
the essence of science. Questioning is a thinking process skill structurally embedded in thinking and problem-
solving [53]. Even though students have the ability to ask questions, this shows their great potential in obtaining
new information and clarifying knowledge. Therefore, the opportunity to ask questions needs to be utilized well.
This may happen because students do not want to always draw attention to themselves or because the teacher's
role is to always motivate students to ask questions. Additionally, only a portion of students can respond directly
by raising their finger to ask a question as a form of expression of good cognition. Generally, the questions
asked demonstrate factual and procedural knowledge and are closed-ended [54].
Learning with PBLRQA contains four characteristics: i) student awareness to apply with high
commitment and consistency, ii) learning practices that prioritize optimizing critical thinking skills so that
they can be identified, assessed, and inferred, iii) problems formulation in a specific context relevant to
students' needs, and iv) metacognition aspect, to guide students to know what they should have [55], [56].
Besides RQA, PBL also has the potential to increase metacognitive awareness. PBL is the most innovative
learning model that stimulates students, where structured or authentic problems are presented to students to
embed the learning process by building new knowledge into solving the problem [57], [58]. Studies show
that PBL not only increases metacognitive awareness in learning but also critical thinking skills, students'

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academic achievement, and enables them to communicate in group discussions and build their knowledge
compared to conventional learning models [59]. Other results show that PBL increases student engagement
by fostering group work skills that stimulate cooperation and mutual analysis by enabling knowledge,
information sharing, and discussion [60], [61].
Metacognitive awareness can be managed to trigger the development of metacognitive skills. This
skill guarantees the organization of learning as seen from students planning, monitoring, and evaluating the
learning process periodically and continuously. Students are aware that they have to struggle to achieve their
goals, acquire new knowledge that did not exist before by using several strategies, and understand the
learning process they are experiencing. By doing so, students can find out whether the learning process has
reached their goals [60]. Metacognitive awareness is one of the key competencies in the learning process in
the 21st century because it can generate good ideas and solutions in the learning process [61]. Lecturers as
designers should be able to design or design all learning activities well so that students also feel challenged in
encouraging critical and innovative thinking in learning. Still, the most important thing is awareness in
understanding learning so that they can make planning, action, smonitoring, and evaluation to repeat the
same learning cycle. Thus, occasionally, there must be improvements and increases in metacognitive in
solving problems and making the best decisions.
4. CONCLUSION
Based on the results of the research and discussion that has been done, it can be concluded that the
learning model does not affect students' metacognitive awareness. The PBLRQA and PBL models both have
the same opportunities for prospective students' metacognitive awareness. Several suggestions can be made
related to the findings of this study, including: i) for lecturers, the findings reveal that the PBLRQA and PBL
model has the potential to empower metacognitive awareness so that it is suitable to be applied to learning at
the college level as well as at other levels; ii) It is necessary to disseminate information on the findings of this
study by introducing the PBLRQA and PBL learning models because they are proven effective in increasing
students' metacognitive awareness. It is also necessary to explore the metacognitive awareness of students,
especially students who have learning problems that it is known how they overcome these difficulties and
their impact on academic achievement. An exploration of teacher and student metacognitive awareness has
been carried out, as well as its application to learning includes planning, monitoring, and evaluating.
REFERENCES
[1] M. Schneider and F. Preckel, “Variables associated with achievement in higher education: a systematic review of meta-analyses,”
Psychological Bulletin, vol. 143, no. 6, pp. 565–600, 2017, doi: 10.1037/bul0000098.
[2] R. Delahaij and K. van Dam, “Coping style development: the role of learning goal orientation and metacognitive awareness,”
Personality and Individual Differences, vol. 92, pp. 57–62, Apr. 2016, doi: 10.1016/j.paid.2015.12.012.
[3] M. V. J. Veenman, B. H. A. M. Van Hout-Wolters, and P. Afflerbach, “Metacognition and learning: conceptual and methodological
considerations,” Metacognition and Learning, vol. 1, no. 1, pp. 3–14, Apr. 2006, doi: 10.1007/s11409-006-6893-0.
[4] M. F. Teng, C. Qin, and C. Wang, “Validation of metacognitive academic writing strategies and the predictive effects on
academic writing performance in a foreign language context,” Metacognition and Learning, vol. 17, no. 1, pp. 167–190, Apr.
2022, doi: 10.1007/s11409-021-09278-4.
[5] S. K. Negi, Y. Rajkumari, and M. Rana, “A deep dive into metacognition: Insightful tool for moral reasoning and emotional
maturity,” Neuroscience Informatics, vol. 2, no. 4, p. 100096, Dec. 2022, doi: 10.1016/j.neuri.2022.100096.
[6] H. Kallio, M. Kallio, K. Virta, T. Iiskala, and R. Hotulainen, “Teachers’ support for learners’ metacognitive awareness,”
Scandinavian Journal of Educational Research, vol. 65, no. 5, pp. 802–818, Jul. 2021, doi: 10.1080/00313831.2020.1755358.
[7] S. Martin and J. Del-Monte, “Metacognition and insight dynamics exploration in borderline personality disorder: Exploring the
underlying dynamics,” Journal of Psychiatric Research, vol. 160, pp. 225–231, Apr. 2023, doi: 10.1016/j.jpsychires.2023.02.023.
[8] D. Muijs, L. Kyriakides, G. van der Werf, B. Creemers, H. Timperley, and L. Earl, “State of the art-teacher effectiveness and
professional learning,” School Effectiveness and School Improvement, vol. 25, no. 2, pp. 231–256, Apr. 2014, doi:
10.1080/09243453.2014.885451.
[9] J. H. Flavell, “Metacognition and cognitive monitoring: a new area of cognitive-developmental inquiry,” American Psychologist,
vol. 34, no. 10, pp. 906–911, Oct. 1979, doi: 10.1037/0003-066X.34.10.906.
[10] D. Alt and N. Raichel, “Reflective journaling and metacognitive awareness: insights from a longitudinal study in higher
education,” Reflective Practice, vol. 21, no. 2, pp. 145–158, Mar. 2020, doi: 10.1080/14623943.2020.1716708.
[11] S. Vosniadou, I. Darmawan, M. J. Lawson, P. Van Deur, D. Jeffries, and M. Wyra, “Beliefs about the self-regulation of learning
predict cognitive and metacognitive strategies and academic performance in pre-service teachers,” Metacognition and Learning,
vol. 16, no. 3, pp. 523–554, 2021, doi: 10.1007/s11409-020-09258-0.
[12] D. Goren and E. Kaya, “How is students’ understanding of nature of science related with their metacognitive awareness?,”
Science & Education, vol. 32, no. 5, pp. 1471–1496, Oct. 2023, doi: 10.1007/s11191-022-00381-9.
[13] J. D. Stanton, A. J. Sebesta, and J. Dunlosky, “Fostering metacognition to support student learning and performance,” CBE—Life
Sciences Education, vol. 20, no. 2, p. fe3, Jun. 2021, doi: 10.1187/cbe.20-12-0289.
[14] K. D. Tanner, “Promoting student metacognition,” CBE—Life Sciences Education, vol. 11, no. 2, pp. 113–120, Jun. 2012, doi:
10.1187/cbe.12-03-0033.
[15] S. M. Halmo, E. K. Bremers, S. Fuller, and J. D. Stanton, “‘Oh, that makes sense’: social metacognition in small-group problem
solving,” CBE—Life Sciences Education, vol. 21, no. 3, Sep. 2022, doi: 10.1187/cbe.22-01-0009.

61
[16] A. Siegesmund, “Increasing student metacognition and learning through classroom-based learning communities and self-
assessment,” Journal of Microbiology & Biology Education, vol. 17, no. 2, pp. 204–214, May 2016, doi: 10.1128/jmbe.v17i2.954.
[17] J. I. Ebomoyi, “Metacognition and peer learning strategies as predictors in problem-solving performance in microbiology,”
Journal of Microbiology & Biology Education, vol. 21, no. 1, pp. 1–9, Jan. 2020, doi: 10.1128/jmbe.v21i1.1715.
[18] J. A. Cardinale and B. C. Johnson, “metacognition modules: a scaffolded series of online assignments designed to improve students’
study skills,” Journal of Microbiology & Biology Education, vol. 18, no. 1, pp. 1–8, Apr. 2017, doi: 10.1128/jmbe.v18i1.1212.
[19] M. Räisänen, L. Postareff, and S. Lindblom-Ylänne, “University students’ self- and co-regulation of learning and processes of
understanding: a person-oriented approach,” Learning and Individual Differences, vol. 47, pp. 281–288, Apr. 2016, doi:
10.1016/j.lindif.2016.01.006.
[20] S. Vemu, H. Basta, and D. C. Cole, “Histology personal trainer: identifying tissue types using critical thinking and metacognition
prompts,” Journal of Microbiology & Biology Education, vol. 20, no. 2, pp. 1–3, Jan. 2019, doi: 10.1128/jmbe.v20i2.1791.
[21] N. V. Dang, J. C. Chiang, H. M. Brown, and K. K. McDonald, “Curricular activities that promote metacognitive skills impact
lower-performing students in an introductory biology course,” Journal of Microbiology & Biology Education, vol. 19, no. 1, pp.
1–9, Mar. 2018, doi: 10.1128/jmbe.v19i1.1324.
[22] J. S. Roberts, “Integrating metacognitive regulation into the online classroom using student-developed learning plans,” Journal of
Microbiology & Biology Education, vol. 22, no. 1, pp. 1–5, Apr. 2021, doi: 10.1128/jmbe.v22i1.2409.
[23] K. M. Hill, V. S. Brözel, and G. A. Heiberger, “Examining the delivery modes of metacognitive awareness and active reading
lessons in a college nonmajors introductory biology course,” Journal of Microbiology & Biology Education, vol. 15, no. 1, pp. 5–
12, May 2014, doi: 10.1128/jmbe.v15i1.629.
[24] T. M. McCabe and J. T. Olimpo, “Advancing metacognitive practices in experimental design: a suite of worksheet-based
activities to promote reflection and discourse in laboratory contexts,” Journal of Microbiology & Biology Education, vol. 21, no.
1, pp. 14–16, Jan. 2020, doi: 10.1128/jmbe.v21i1.2009.
[25] J. L. Sabel, J. T. Dauer, and C. T. Forbes, “Introductory biology students’ use of enhanced answer keys and reflection questions to engage in
metacognition and enhance understanding,” CBE—Life Sciences Education, vol. 16, no. 3, p. ar40, Sep. 2017, doi: 10.1187/cbe.16-10-0298.
[26] M. F. Teng, “Effects of individual and group metacognitive prompts on tertiary-level students’ metacognitive awareness and writing
outcomes,” The Asia-Pacific Education Researcher, vol. 31, no. 5, pp. 601–612, Oct. 2022, doi: 10.1007/s40299-021-00611-8.
[27] E. A. V. Vliet, J. C. Winnips, and N. Brouwer, “Flipped-class pedagogy enhances student metacognition and collaborative-
learning strategies in higher education but effect does not persist,” CBE—Life Sciences Education, vol. 14, no. 3, p. ar26, Sep.
2015, doi: 10.1187/cbe.14-09-0141.
[28] C. J. Brame, “Effective educational videos: principles and guidelines for maximizing student learning from video content,” CBE—
Life Sciences Education, vol. 15, no. 4, p. es6, Dec. 2016, doi: 10.1187/cbe.16-03-0125.
[29] K. M. Dye and J. D. Stanton, “Metacognition in upper-division biology students: awareness does not always lead to control,”
CBE—Life Sciences Education, vol. 16, no. 2, p. ar31, Jun. 2017, doi: 10.1187/cbe.16-09-0286.
[30] A. T. Pratama, “Improving metacognitive skills using problem based learning (PBL) at natural science of primary school in Deli
Serdang, Indonesia,” Biosfer, vol. 11, no. 2, pp. 101–107, Nov. 2018, doi: 10.21009/biosferjpb.v11n2.101-107.
[31] M. Kuvac and I. Koc, “The effect of problem-based learning on the metacognitive awareness of pre-service science teachers,”
Educational Studies, vol. 45, no. 5, pp. 646–666, Sep. 2019, doi: 10.1080/03055698.2018.1509783.
[32] Z. Ç. Özcan, “The relationship between mathematical problem-solving skills and self-regulated learning through homework
behaviours, motivation, and metacognition,” International Journal of Mathematical Education in Science and Technology, vol.
47, no. 3, pp. 408–420, Apr. 2016, doi: 10.1080/0020739X.2015.1080313.
[33] B. B. Y. Soyadı, “Creative and critical thinking skills in problem-based learning environments,” Journal of Gifted Education and
Creativity, vol. 2, no. 2, pp. 71–71, Dec. 2015, doi: 10.18200/JGEDC.2015214253.
[34] A. S. Argaw, B. B. Haile, B. T. Ayalew, and S. G. Kuma, “The effect of problem based learning (PBL) instruction on students’
motivation and problem solving skills of physics,” EURASIA Journal of Mathematics, Science and Technology Education, vol.
13, no. 3, Dec. 2016, doi: 10.12973/eurasia.2017.00647a.
[35] Y. I. Sari, S. Sumarmi, D. H. Utomo, and I. K. Astina, “The effect of problem based learning on problem solving and scientific
writing skills,” International Journal of Instruction, vol. 14, no. 2, pp. 11–26, Apr. 2021, doi: 10.29333/iji.2021.1422a.
[36] A. A. Aldarmahi, “The impact of problem based learning versus conventional education on students in the aspect of clinical
reasoning and problem solving,” Education in Medicine Journal, vol. 8, no. 3, Sep. 2016, doi: 10.5959/eimj.v8i3.430.
[37] S. Moody, X. Hu, L.-J. Kuo, M. Jouhar, Z. Xu, and S. Lee, “Vocabulary instruction: a critical analysis of theories, research, and
practice,” Education Sciences, vol. 8, no. 4, p. 180, Oct. 2018, doi: 10.3390/educsci8040180.
[38] B. Sugiharto, A. D. Corebima, H. Susilo, and I. Ibrohim, “The pre-service biology teacher readiness in blended collaborative problem
based learning (BCPBL),” International Journal of Instruction, vol. 12, no. 4, pp. 113–130, Oct. 2019, doi: 10.29333/iji.2019.1248a.
[39] W. Saputri and A. D. Corebima, “The correlation between metacognitive skills and cognitive learning results of biology pre-
service teachers on different learnings,” Turkish Journal of Science Education, vol. 17, no. 4, pp. 487–503, Sep. 2020, doi:
10.36681/tused.2020.40.
[40] A. Bahri, “Exploring the correlation between metacognitive skills and retention of students in different learning strategies in
biology classroom,” in Proceeding of ICMSTEA: International Conference on Mathematic, Science, Technology, Education and
their Applications, 2016, pp. 156–162.
[41] A. Muh., A. Duran, S. Zubaidah, and S. Mahanal, “The correlation between metacognitive skills and critical thinking skills at the
implementation of four different learning strategies in animal physiology lectures,” European Journal of Educational Research,
vol. 9, no. 1, pp. 143–163, Jan. 2020, doi: 10.12973/eu-jer.9.1.143.
[42] S. Hariyadi, A. D. Corebima, and S. Zubaidah, “The comparison of the question types in the RQA (reading, questioning, and
answering) learning model and conventional learning model,” International Journal of Humanities, Social Sciences and
Education, vol. 4, no. 7, pp. 10–18, 2017, doi: 10.20431/2349-0381.0407002.
[43] R. Adiansyah, A. M. Amin, A. Ardianto, and A. Yani, “Metacognitive skill profile of biology education students at institute of
teachers’ education in South Sulawesi, Indonesia,” JPBI (Jurnal Pendidikan Biologi Indonesia), vol. 8, no. 2, pp. 150–158, Jul.
2022, doi: 10.22219/jpbi.v8i2.20732.
[44] A. Usman, H. Susilo, H. Suwono, and A. D. Corebima, “The contributions of metacognitive skills towards the retention of
different academic ability students for the implementation of several learning models,” International Journal of Education and
Practice, vol. 9, no. 3, pp. 550–567, 2021, doi: 10.18488/journal.61.2021.93.550.567.
[45] A. Bahri and I. S. Idris, “Development and validation of learning strategy for metacognitive skills empowerment: PBLRQA (PBL
integrated with reading, questioning, and answering),” Journal of Physics: Conference Series, vol. 1028, no. 1, p. 012028, Jun.
2018, doi: 10.1088/1742-6596/1028/1/012028.
[46] A. Bahri and A. D. Corebima, “Improving PBL in empowering meta cognitive skill of students,” Indian Journal of Science and

 ISSN: 2089-9823
62
Technology, vol. 12, no. 17, pp. 1–9, May 2019, doi: 10.17485/ijst/2019/v12i17/69226.
[47] A. Bahri and A. D. Corebima, “The contribution of learning motivation and metacognitive skill on cognitive learning outcome of students
within different learning strategie,” Journal of Baltic Science Education, vol. 14, no. 4, pp. 487–500, Aug. 2015, doi: 10.33225/jbse/15.14.487.
[48] L. Listiana, A. Bahri, A. Bin Jamaluddin, A. Muharni, and W. H. Malik, “Enhancing cognitive retention of different academic
abilities undergraduate students through PBLRQA strategy,” in Proceedings of the 1st UMSurabaya Multidisciplinary
International Conference 2021 (MICon 2021), Atlantis Press SARL, 2023, pp. 259–268. doi: 10.2991/978-2-38476-022-0_28.
[49] F. L. Badriyah, H. Mubarok, and B. K. Prahani, “Profile of students’ critical thinking skills and the implementation of PBLRQA
based on blended learning in senior high school,” Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA
IKIP Mataram, vol. 9, no. 1, p. 38, Jun. 2021, doi: 10.33394/j-ps.v9i1.3911.
[50] E. Angraini, S. Zubaidah, H. Susanto, and N. Omar, “Enhancing creativity in genetics using three teaching strategies-based TPACK model,”
Eurasia Journal of Mathematics, Science and Technology Education, vol. 18, no. 12, p. em2196, Dec. 2022, doi: 10.29333/ejmste/12697.
[51] D. A. Kenny, “A quasi-experimental approach to assessing treatment effects in the nonequivalent control group design,”
Psychological Bulletin, vol. 82, no. 3, pp. 345–362, May 1975, doi: 10.1037/0033-2909.82.3.345.
[52] G. Schraw and R. S. Dennison, “Assessing metacognitive awareness,” Contemporary Educational Psychology, vol. 19, no. 4, pp.
460–475, Oct. 1994, doi: 10.1006/ceps.1994.1033.
[53] S. Cuccio-Schirripa and H. E. Steiner, “Enhancement and analysis of science question level for middle school students,” Journal
of Research in Science Teaching, vol. 37, no. 2, pp. 210–224, Feb. 2000, doi: 10.1002/(SICI)1098-2736(200002)37:2<210::AID-
TEA7>3.0.CO;2-I.
[54] C. Chin and J. Osborne, “Students’ questions: a potential resource for teaching and learning science,” Studies in Science
Education, vol. 44, no. 1, pp. 1–39, Mar. 2008, doi: 10.1080/03057260701828101.
[55] M. Y. C. A. Kek and H. Huijser, “Higher education research & the power of problem ‐ based learning in developing critical
thinking skills : preparing students for tomorrow ’ s digital futures in today ’ s classrooms,” Higher Education Research &
Development, vol. 30, no. 3, pp. 329–341, Jun. 2011, doi: 10.1080/07294360.2010.501074.
[56] C. E. Hmelo-Silver, “Problem-based learning: what and how do students learn?,” Educational Psychology Review, vol. 16, no. 3,
pp. 235–266, Sep. 2004, doi: 10.1023/B:EDPR.0000034022.16470.f3.
[57] E. H. J. Yew and K. Goh, “Problem-based learning : an overview of its process and impact on learning,” Health Professions
Education, vol. 2, no. 2, pp. 75–79, Dec. 2016, doi: 10.1016/j.hpe.2016.01.004.
[58] M. A. Almulla, “The effectiveness of the project-based learning (PBL) approach as a way to engage students in learning,” SAGE
Open, vol. 10, no. 3, p. 215824402093870, Jul. 2020, doi: 10.1177/2158244020938702.
[59] M. H. da Fonsêca Barros and M. Penna, “Problem-based learning (PBL) in music teacher education,” International Journal of
Music Education, vol. 41, no. 4, pp. 585–597, Nov. 2023, doi: 10.1177/02557614221130526.
[60] İ. Dökme and Z. Koyunlu Ünlü, “The challenge of quantum physics problems with self-metacognitive questioning,” Research in
Science Education, vol. 51, no. S2, pp. 783–800, Oct. 2021, doi: 10.1007/s11165-019-9821-4.
[61] S. M. Ritter and N. Mostert, “Enhancement of creative thinking skills using a cognitive-based creativity training,” Journal of
Cognitive Enhancement, vol. 1, no. 3, pp. 243–253, 2017, doi: 10.1007/s41465-016-0002-3.
BIOGRAPHIES OF AUTHORS
Marleny Leasa is a professor of Biology Education. She completed her
undergraduate studies at Pattimura University in 2006. In 2009 she earned a master's in biology
education from Universitas Negeri Malang and then completed her doctoral studies at Universitas
Negeri Malang in 2017. Marleny Leasa is a lecturer at Primary Teacher Education, Faculty of
Teachers Training and Education, Pattimura University, Ambon Indonesia. On August 2023, she
received God's grace from the Ministry of Education, Culture, Research, and Technology to
become a professor in the field of biology education at the Faculty of Teacher Training and
Education, Pattimura University. Until now she has reviewed more than 100 articles in accredited
national and reputable international journals, including the Eurasia Journal of Mathematics,
Science and Technology Education; Heliyon. Interest research: biology education, science
education, teaching and learning models, primary education, and educational design. She can be
contacted at email: marleny.leasa@yahoo.com, marlenyleasa3@gmail.com.
Mariana Rengkuan is finished middle school in 1995. In the same year, she entered
a healthcare nursing school. She pursued a bachelor's degree in biology education in 1999 and
became a lecturer at UNIMA in 2005. In 2007, she enrolled in a master's program in biology
education at Universitas Negeri Malang, and in 2009, she pursued her doctoral studies at the same
institution. Her research works include a study titled metacognitive and critical thinking skills of
biology students in genetics through project-based learning. Currently, she is working on a project
titled Empowerment of entrepreneurial spirit through digital marketing at MAN Model School.
She can be contacted at email: ine_rengkuan@yahoo.com.
John Rafafy Batlolona is young thinker in the field of physics education. He is
currently an outstanding lecturer at Department of Physics Education, Faculty of Teachers
Training and Education, Pattimura University. Achievement carved is to be a permanent reviewer
in several reputable international journals in the United States, one of them is Journal of Educators
Online. Short message: "Never say anything the least that someone is stupid. He might be a
shining diamond amid the darkness. Interest research: physics education, science education,
teaching and learning model, primary education and ethnophysics. He can be contacted at email:
johanbatlolona@gmail.com.

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