The Influence of the Problem-Based Learning Model on Metacognitive Knowledge and Science Learning Outcomes

Authors

Gamar B. N. Shamdas , Abd. Hakim Laenggeng , Abdul Ashari , Rizka Fardha

Published:

2024-03-30

Issue:

Vol. 10 No. 3 (2024): March

Keywords:

Learning outcomes, Metacognitive knowledge, Problem-based learning models

Research Articles

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Shamdas, G. B. N., Laenggeng, A. H., Ashari, A., & Fardha, R. (2024). The Influence of the Problem-Based Learning Model on Metacognitive Knowledge and Science Learning Outcomes. Jurnal Penelitian Pendidikan IPA, 10(3), 1383–1395. Retrieved from https://jppipa.unram.ac.id/index.php/jppipa/article/view/5444

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Abstract

Metacognitive knowledge refers to what is known about memory function and the strengths and weaknesses of one's own cognition. This research aims to describe the influence of the problem-based learning model on the metacognitive knowledge and learning outcomes of class IX junior high school students. The research was carried out on Class IX students of Palu City Middle School, the entire population of Class IX consisted of three classes with a total of 45 students. Two classes were used as samples determined based on purposive sampling. Metacognitive knowledge data was obtained through questionnaires and learning outcome data through essay and multiple choice tests. Data analysis used an independent t-test with the help of SPPS version 25.0. The results showed that metacognitive knowledge with conventional learning was significantly lower than the PBL class with a gain of t(25) = 9.289, p < 0.000 and learning outcomes in the conventional class were significantly lower than the PBL class with a gain of t(25) = 4.520, p < 0.000. The conclusion of this research is that there is an influence of the problem-based learning model on the metacognitive knowledge and learning outcomes of class IX SMP students

References

Abdelrahman, R. M. (2020). Metacognitive Awareness and Academic Motivation and Their Impact on Academic Achievement of Ajman University students. Heliyon, 6(9), e04192. https://doi.org/10.1016/j.heliyon.2020.e04192

Acosta-Gonzaga, E., & Ramirez-Arellano, A. (2021). The Influence of Motivation, Emotions, Cognition, and Metacognition on Students’ Learning Performance: A Comparative Study in Higher Education in Blended and Traditional Contexts. SAGE Open, 11(2), 1–12. https://doi.org/10.1177/21582440211027561

Adams, R. V, & Blair, E. (2019). Impact of Time Management Behaviors on Undergraduate Engineering Students Performance. Sage Open, 9(1), 1–11. https://doi.org/10.1177/2158244018824506

Al-Kloub, M. I., Salameh, T. N., & Froelicher, E. S. (2014). Nursing students evaluation of problem based learning and the impact of culture on the learning process and outcomes: A pilot project. Nurse Education in Practice, 14(2), 142–147. https://doi.org/10.1016/j.nepr.2013.06.013

Alrahlah, A. (2016). How effective the problem-based learning (PBL) in dental education. A critical review. Saudi Dental Journal, 28(4), 155–161. https://doi.org/10.1016/j.sdentj.2016.08.003

Altıok, S., Başer, Z., & Yükseltürk, E. (2019). Enhancing metacognitive awareness of undergraduates through using an e-educational video environment. Computers & Education, 139, 129–145. https://doi.org/10.1016/j.compedu.2019.05.010

Arends, R. I. (2012). Learning To Teach (B. Mejia (ed.); Ninth Edit). McGraw-Hill.

Aslan, A. (2021). Problem- based learning in live online classes: Learning achievement, problem-solving skill, communication skill, and interaction. Computers & Education, 171, 104237. https://doi.org/10.1016/j.compedu.2021.104237

Astuti, D., Siswandari, P., & Santosa, D. (2017). E-Book for Problem Based Learning to Improve Learning Outcome of the Students. 158(Ictte), 220–227. https://doi.org/10.2991/ictte-17.2017.45

Azhary, S. A., Supahar, S., Kuswanto, K., Ikhlas, M., & Devi, I. P. (2020). Relationship Between Behavior of Learning and Student Achievement in Physics Subject. Jurnal Pendidikan Fisika Indonesia, 16(1), 1–8. https://doi.org/10.15294/jpfi.v16i1.23096

Baturay, M. H., & Bay, O. F. (2010). The effects of problem-based learning on the classroom community perceptions and achievement of web-based education students. Computers & Education, 55(1), 43–52. https://doi.org/10.1016/j.compedu.2009.12.001

Bayat, S., & Tarmizi, R. A. (2012). Effects of Problem-based Learning Approach on Cognitive Variables of University Students. Procedia-Social and Behavioral Sciences, 46, 3146–3151. https://doi.org/10.1016/j.sbspro.2012.06.027

Beatty, A., Berkhout, E., Bima, L., Pradhan, M., & Suryadarma, D. (2021). Schooling progress, learning reversal: Indonesia’s learning profiles between 2000 and 2014. International Journal of Educational Development, 85, 102436. https://doi.org/10.1016/j.ijedudev.2021.102436

Bosch, E., Seifried, E., & Spinath, B. (2021). What successful students do: Evidence-based learning activities matter for students’ performance in higher education beyond prior knowledge, motivation, and prior achievement. Learning and Individual Differences, 91, 102056. https://doi.org/10.1016/j.lindif.2021.102056

Bouiri, O., Lotfi, S., & Talbi, M. (2022). Effect of Student, Family-Related Features on Academic Achievement. Education Research International, 2022, 1–10. https://doi.org/10.1155/2022/7193142

Burke, L. A., & Williams, J. M. (2008). Developing Young Thinkers: An intervention aimed to enhance children’s thinking skills. Thinking Skills and Creativity, 3(2), 104–124. https://doi.org/10.1016/j.tsc.2008.01.001

Byrnes, J. P., Wang, A., & Miller-Cotto, D. (2019). Children as mediators of their own cognitive development in kindergarten. Cognitive Development, 50, 80–97. https://doi.org/10.1016/j.cogdev.2019.03.003

Cai, Y., King, R. B., Law, W., & McInerney, D. M. (2019). Which comes first? Modeling the relationships among future goals, metacognitive strategies and academic achievement using multilevel cross-lagged SEM. Learning and Individual Differences, 74, 101750. https://doi.org/10.1016/j.lindif.2019.06.004

Cannon, J. P., Lohtia, R., & Paulich, B. J. (2021). Blended Learning in Principles of Marketing: The Effects of Student Differences on Student Performance. Journal of Marketing Education. https://doi.org/10.1177/02734753211058357

Carriger, M. S. (2016). What is the best way to develop new managers? Problem-based learning vs. lecture-based instruction. The International Journal of Management Education, 14(2), 92–101. https://doi.org/10.1016/j.ijme.2016.02.003

Cer, E. (2019). The Instruction of Writing Strategies: The Effect of the Metacognitive Strategy on the Writing Skills of Pupils in Secondary Education. SAGE Open, 9(2), 1–17. https://doi.org/10.1177/2158244019842681

Chamorro-Premuzic, T., & Furnham, A. (2003). Personality predicts academic performance: Evidence from two longitudinal university samples. Journal of Research in Personality, 37(4), 319–338. https://doi.org/10.1016/S0092-6566(02)00578-0

Chandra, V., & Watters, J. J. (2012). Re-thinking physics teaching with web-based learning. Computers & Education, 58(1), 631–640. https://doi.org/10.1016/j.compedu.2011.09.010

Chen, T., Luo, H., Wang, P., Yin, X., & Yang, J. (2023). The role of pre-class and in-class behaviors in predicting learning performance and experience in flipped classrooms. Heliyon, 9(4), e15234. https://doi.org/10.1016/j.heliyon.2023.e15234

Cho, K. W. (2023). Assessing the Accuracy of Students’ Metacognitive Awareness of Psychology Concepts. Psychology Learning & Teaching, 22(1), 342–351. https://doi.org/10.1177/14757257231182301

Clark, R. M., Kaw, A., & Guldiken, R. (2023). Metacognition instruction and repeated reflection in a fluid mechanics course: Reflective themes and student outcomes. International Journal of Mechanical Engineering Education, 51(4), 1–9. https://doi.org/10.1177/03064190231164719

Cotterall, S., & Murray, G. (2009). Enhancing metacognitive knowledge: Structure, affordances and self. Science Direct, 37, 34–45. https://doi.org/10.1016/j.system.2008.08.003

Creswell, J. W. (2014). Research Design: Qualitative, Quantitaive and Mixed Methods Approaches. In News.Ge (Fourth Edi). SAGE Publications, Inc.

Cutumisu, M., Schwartz, D. L., & Lou, N. M. (2020). The relation between academic achievement and the spontaneous use of design-thinking strategies. Computers & Education, 149, 103806. https://doi.org/10.1016/j.compedu.2020.103806

Demirel, M., A, İ., & Ya, E. (2015). An investigation of teacher c andidates’ metacognitive skills. Procedia-Social and Behavioral Sciences, 174, 1521–1528. https://doi.org/10.1016/j.sbspro.2015.01.783

Devikaa, & Singh, R. (2019). Influence of Metacognitive Awareness on Engineering Students’ Performance: A Study of Listening Skills. Elsevier, Sciencedirect: Procedia Manufacturing, 31, 136–141. https://doi.org/10.1016/j.promfg.2019.03.021

Diekema, A. R., Holliday, W., & Leary, H. (2011). Re-framing information literacy: Problem-based learning as informed learning. Library & Information Science Research, 33, 261–268. https://doi.org/10.1016/j.lisr.2011.02.002

Dochy, F., Segers, M., Bossche, P. Van den, & Gijbels, D. (2003). Effects of problem-based learning: a meta-analysis. Learning and Instruction, 13(5), 533–568. https://doi.org/10.1016/S0959-4752(02)00025-7

Dorfner, T., Förtsch, C., Germ, M., & Neuhaus, B. J. (2018). Biology instruction using a generic framework of scientific reasoning and argumentation. Teaching and Teacher Education, 75, 232–243. https://doi.org/10.1016/j.tate.2018.07.003

Elsayed Abdelhalim, G., Mohamed Fouad Kamel, N., & Shaban Abd-El Fattah Abd-ElRasoul, A. (2020). Effect of Interactive Learning environment on Nursing Students’ Engagement and Academic Self-Concept. Egyptian Journal of Health Care, 11(1), 384–398. https://doi.org/10.21608/ejhc.2021.175131

Ersoy, E., & Başer, N. (2014). The Effects of Problem-based Learning Method in Higher Education on Creative Thinking. Procedia - Social and Behavioral Sciences, 116, 3494–3498. https://doi.org/10.1016/j.sbspro.2014.01.790

Fauzi, A., & Sa’diyah, W. (2019). Students’ metacognitive skills from the viewpoint of answering biological questions: Is it already good? Jurnal Pendidikan IPA Indonesia, 8(3), 317–327. https://doi.org/10.15294/jpii.v8i3.19457

Fidan, M., & Tuncel, M. (2019). Integrating augmented reality into problem based learning: The effects on learning achievement and attitude in physics education. Computers & Education, 142, 103635. https://doi.org/10.1016/j.compedu.2019.103635

Gholami, M., Moghadam, P. K., Mohammadipoor, F., Tarahi, M. J., Sak, M., Toulabi, T., & Pour, A. H. H. (2016). Comparing the effects of problem-based learning and the traditional lecture method on critical thinking skills and metacognitive awareness in nursing students in a critical care nursing course. Nurse Education Today, 45, 16–21. https://doi.org/10.1016/j.nedt.2016.06.007

Giannakos, M. N. (2013). Enjoy and learn with educational games: Examining factors affecting learning performance. Computers & Education, 68, 429–439. https://doi.org/10.1016/j.compedu.2013.06.005

Gillies, R. M. (2004). The effects of cooperative learning on junior high school students during small group learning. Learning and Instruction, 14(2), 197–213. https://doi.org/10.1016/S0959-4752(03)00068-9

Ginns, P., Martin, A. J., & Papworth, B. (2018). Student learning in Australian high schools: Contrasting personological and contextual variables in a longitudinal structural model. Learning and Individual Differences, 64, 83–93. https://doi.org/10.1016/j.lindif.2018.03.007

Goda, Y., Yamada, M., Kato, H., Matsuda, T., Saito, Y., & Miyagawa, H. (2015). Procrastination and other learning behavioral types in e-learning and their relationship with learning outcomes. Learning and Individual Differences, 37, 72–80. https://doi.org/10.1016/j.lindif.2014.11.001

Gorghiu, G., Drăghicescu, L. M., Cristea, S., Petrescu, A.-M., & Gorghiu, L. M. (2015). Problem-based Learning - An Efficient Learning Strategy in the Science Lessons Context. Procedia - Social and Behavioral Sciences, 191, 1865–1870. https://doi.org/10.1016/j.sbspro.2015.04.570

Gregory, S., Dennison, & Sperling, R. (1994). Assessing Metacognitive Awareness. Contemporary Educational Psychology, 19(4), 460–475. https://doi.org/10.1006/ceps.1994.1033

Gul, F., & Shehzad, S. (2012). Relationship Between Metacognition, Goal Orientation and Academic Achievement. Procedia - Social and Behavioral Sciences, 47, 1864–1868. https://doi.org/10.1016/j.sbspro.2012.06.914

Gurung, R. A. R., Mai, T., Nelson, M., & Pruitt, S. (2022). Predicting Learning: Comparing Study Techniques, Perseverance, and Metacognitive Skill. Teaching of Psychology, 49(1), 71–77. https://doi.org/10.1177/0098628320972332

Hailikari, T., Virtanen, V., Vesalainen, M., & Postareff, L. (2022). Student perspectives on how different elements of constructive alignment support active learning. Active Learning in Higher Education, 23(3), 217–231. https://doi.org/10.1177/1469787421989160

Han, I., & Shin, W. S. (2016). The use of a mobile learning management system and academic achievement of online students. Computers & Education, 102, 79–89. https://doi.org/10.1016/j.compedu.2016.07.003

Hanipah, S., Florentinus, T. S., & Rc, A. R. (2018). The Effectiveness of Problem Based Learning and Project Based Learning Model to Improve Natural Science Study Outcomes. Innovative Journal of Curriculum and Educational Technology, 7(1), 1–6. https://doi.org/10.15294 /ijcet.v7i1.24383

Hendriks, A. A. J., Kuyper, H., Lubbers, M. J., & Werf, M. P. C. Van der. (2011). Personality as a moderator of context effects on academic achievement. Journal of School Psychology, 49(2), 217–248. https://doi.org/10.1016/j.jsp.2010.12.001

Herlanti, Y., Mardiati, Y., Wahyuningtyas, R., Mahardini, E., Iqbal, M., & Sofyan, A. (2017). Discovering learning strategy to increase metacognitive knowledge on biology learning in secondary school. Jurnal Pendidikan IPA Indonesia, 6(1), 179–186. https://doi.org/10.15294/jpii.v6i1.9605

Hoseinzadeh, D., & Shoghi, B. (2013). The Role of Metacognition Knowledge Component in Achievement of High School Male Students. Procedia - Social and Behavioral Sciences, 84, 1031–1035. https://doi.org/10.1016/j.sbspro.2013.06.693

Hossain, A., & Tarmizi, R. A. (2011). Cognitive and affect outcomes of group learning among secondary learners in Bangladesh. Procedia - Social and Behavioral Sciences, 28, 845–850. https://doi.org/10.1016/j.sbspro.2011.11.155

Hüseyin. (2016). Metacognitive Awareness and Academic Motivation: A Cross-Sectional Study in Teacher Education Context of Turkey. Procedia - Social and Behavioral Sciences, 232, 109–121. https://doi.org/10.1016/j.sbspro.2016.10.035

Ing, M., Burnette, J. M., Azzam, T., & Wessler, S. R. (2020). Participation in a Course-Based Undergraduate Research Experience Results in Higher Grades in the Companion Lecture Course. Educational Researcher, 50(4), 205–214. https://doi.org/10.3102/0013189X20968097

Isfiani, I. R., & Ekanara, B. (2022). Metacognition Profile on Habits of Mind in Biology Learning. Jurnal Pendidikan Indonesia Gemilang, 2(2), 95–104. https://doi.org/10.53889/jpig.v2i2.138

Jimaa, S. (2011). The impact of assessment on students learning. Procedia - Social and Behavioral Sciences, 28, 718–721. https://doi.org/10.1016/j.sbspro.2011.11.133

Keliat, R. N., Susilo, H., & Sri Hastuti, U. (2021). Metacognitive Awareness Profile of Students in Indonesia: Initial Study on the Development of Biology Learning Models to Support Improvement of Metacognitive Skills. Hong Kong Journal of Social Sciences, 57(January), 45–56. http://creativecommons.org/licenses/by/4.0

Khellab, F., Demirel, Ö., & Mohammadzadeh, B. (2022). Effect of Teaching Metacognitive Reading Strategies on Reading Comprehension of Engineering Students. SAGE Open, 12(4), 1–19. https://doi.org/10.1177/21582440221138069

Khurram, B. A. (2023). The Impact of Metacognitive Instruction on ESL University Level Students ’ Awareness and Use of the Reading Strategies. Journals.Sagepub, 13(2), 1–13. https://doi.org/10.1177/21582440231179695

Kisac, I., & Budak, Y. (2014). Metacognitive Strategies of the University Students with Respect to their Perceived Self-confidence Levels about Learning. Procedia - Social and Behavioral Sciences, 116, 3336–3339. https://doi.org/10.1016/j.sbspro.2014.01.759

Kleitman, S., & Gibson, J. (2011). Metacognitive beliefs, self-confidence and primary learning environment of sixth grade students. Learning and Individual Differences, 21(6), 728–735. https://doi.org/10.1016/j.lindif.2011.08.003

Kubik, V., Gaschler, R., & Hausman, H. (2021). PLAT 20(1) 2021: Enhancing Student Learning in Research and Educational Practice: The Power of Retrieval Practice and Feedback. Psychology Learning and Teaching, 20(1), 1–20. https://doi.org/10.1177/1475725720976462

Kuhna, J., & Müller, A. (2014). Context-based science education by newspaper story problems: A study on motivation and learning effects. Perspectives in Science, 2, 5–21. https://doi.org/10.1016/j.pisc.2014.06.001

Kusaeri, K., & Ridho, A. (2019). Learning outcome of mathematics and science: Features of Indonesian madrasah students. Jurnal Penelitian Dan Evaluasi Pendidikan, 23(1), 95–105. https://doi.org/10.21831/pep.v23i1.24881

Lavrijsen, J., & Verschueren, K. (2020). Student characteristics affecting the recognition of high cognitive ability by teachers and peers. Learning and Individual Differences, 78, 101820. https://doi.org/10.1016/j.lindif.2019.101820

Lee, C. H. M., Cheng, Y. W., Rai, S., & Depickere, A. (2005). What affect student cognitive style in the development of hypermedia learning system? Computers & Education, 45(1), 1–19. https://doi.org/10.1016/j.compedu.2004.04.006

Li, H., Zhang, T., Woolley, J. D., An, J., & Wang, F. (2023). Exploring factors influencing young children’s learning from storybooks: Interactive and multimedia features. Journal of Experimental Child Psychology, 233, 105680. https://doi.org/10.1016/j.jecp.2023.105680

Lile, R., & Bran, C. (2014). The Assessment of Learning Outcomes. Procedia - Social and Behavioral Sciences, 163, 125–131. https://doi.org/10.1016/j.sbspro.2014.12.297

Liliana, C., & Laviniab, H. (2011). Gender differences in metacognitive skills. A study of the 8th grade pupils in Romania. Procedia - Social and Behavioral Sciences, 29, 396–401. https://doi.org/10.1016/j.sbspro.2011.11.255

Liu, & Liu, M. (2020). The impact of learner metacognition and goal orientation on problem-solving in a serious game environment. Computers in Human Behavior, 102, 151–165. https://doi.org/10.1016/j.chb.2019.08.021

Liu, T.-C., Lin, Y.-C., & Paas, F. (2014). Effects of prior knowledge on learning from different compositions of representations in a mobile learning environment. Computers & Education, 72, 328–338. https://doi.org/10.1016/j.compedu.2013.10.019

Loppies, M., & Badrujaman, A. (2021). The Effect of Problem Based Learning Models in Online Learning Settings on Student Cognitive Learning Outcomes in History Subjects. Journal of Educational Research and Evaluation, 5(1), 148–153. Retrieved from https://ejournal.undiksha.ac.xn--id-i5t

Loyens, S. M. M., Jones, S. H., Mikkers, J., & Gog, T. van. (2015). Problem-based learning as a facilitator of conceptual change. Learning and Instruction, 38, 34–42. https://doi.org/10.1016/j.learninstruc.2015.03.002

Mafarja, N., Mohamad, M. M., Zulnaidi, H., & Fadzil, H. M. (2023). Using of reciprocal teaching to enhance academic achievement: A systematic literature review. Heliyon, 9(7), e18269. https://doi.org/10.1016/j.heliyon.2023.e18269

Maruyama, T. (2022). Strengthening Support of Teachers for Students to Improve Learning Outcomes in Mathematics: Empirical Evidence on a Structured Pedagogy Program in El Salvador. International Journal of Educational Research, 115, 101977. https://doi.org/10.1016/j.ijer.2022.101977

Matook, S., Maggie Wang, Y., Koeppel, N., & Guerin, S. (2023). Metacognitive skills in low-code app development: Work-integrated learning in information systems development. Journal of Information Technology, 0(0), 1–30. https://doi.org/10.1177/02683962231170238

Minhas, W., White, T., Daleure, G., Solovieva, N., & Hanfy, H. (2021). Establishing an Effective Blended Learning Model: Teacher Perceptions from the United Arab Emirates. SAGE Open, 11(4), 1–11. https://doi.org/10.1177/21582440211061538

Mohamed Elsayed, S. A. (2022). The Effectiveness of Learning Mathematics according to the STEM Approach in Developing the Mathematical Proficiency of Second Graders of the Intermediate School. Education Research International, 2022, 1–10. https://doi.org/10.1155/2022/5206476

Mohd Nasim, S. (2022). Metacognitive Listening Comprehension Strategies of Arab English Language Learners. Education Research International, 2022, 1–7. https://doi.org/10.1155/2022/9916727

Montague, M., & Bos, M. C. S. (1990). Cognitive and Metacognitive Characteristics of Eighth Grade Students’ Mathematical Problem Solving. Learning and Individual Differences, 2(3), 371-388. Retrieved from https://www.sciencedirect.xn--com-ls0a

Mulyanto, H., Gunarhadi, G., & Indriayu, M. (2018). The Effect of Problem Based Learning Model on Student Mathematics Learning Outcomes Viewed from Critical Thinking Skills. International Journal of Educational Research Review, 3(2), 37–45. https://doi.org/10.24331/ijere.408454

Negretti, R. (2021). Searching for Metacognitive Generalities: Areas of Convergence in Learning to Write for Publication Across Doctoral Students in Science and Engineering. Written Communication, 38(2), 167–207. https://doi.org/10.1177/0741088320984796

Neuenschwander, R., Cimeli, P., Röthlisberger, M., & Roebers, C. M. (2013). Personality factors in elementary school children: Contributions to academic performance over and above executive functions? Learning and Individual Differences, 25, 118–125. https://doi.org/10.1016/j.lindif.2012.12.006

Ninsiana, W., Gabidullina, F. I., Widodo, M., Patra, I., Pallathadka, H., Alkhateeb, D. A. A. M., Zainal, A. G., & Gheisari, A. (2022). High School Students’ Attitudes towards E-Learning and Impacts of Online Instruction on Their General English Learning: Challenges and Issues. Education Research International, 2022. https://doi.org/10.1155/2022/9103862

Niwa, M., Saiki, T., Fujisaki, K., Suzuki, Y., & Evans, P. (2016). The Effects of Problem-Based-Learning on the Academic Achievements of Medical Students in One Japanese Medical School, Over a Twenty-Year Period. Health Professions Education, 2(1), 3–9. https://doi.org/10.1016/j.hpe.2016.01.003

Orús, C., Barlés, M. J., Belanche, D., Casaló, L., Fraj, E., & Gurrea, R. (2016). The effects of learner-generated videos for YouTube on learning outcomes and satisfaction. Computers & Education, 95, 254–269. https://doi.org/10.1016/j.compedu.2016.01.007

Ouyang, F., Chen, S., Yang, Y., & Chen, Y. (2022). Examining the Effects of Three Group-Level Metacognitive Scaffoldings on In-Service Teachers’ Knowledge Building. Journal of Educational Computing Research, 60(2), 352–379. https://doi.org/10.1177/07356331211030847

Özçakmak, H. (2021). The effect of metacognitive awareness on academic success. African Educational Research Journal, 9(2), 434–448. https://doi.org/10.30918/aerj.92.21.020

Perfect, T. J., & Schwartz, B. L. (2002). Toward an applied metacognition. In Applied Metacognition (pp. 1–16). Cambridge University Press. https://doi.org/10.1017/cbo9780511489976

Permatasari, B. D., Gunarhadi, & Riyadi. (2019). The influence of problem based learning towards social science learning outcomes viewed from learning interest. International Journal of Evaluation and Research in Education, 8(1), 39–46. https://doi.org/10.11591/ijere.v8i1.15594

Phelps, C., & Price, J. (2016). Slowing the hare: Quick finishers and class performance on standardized tests. Learning and Individual Differences, 51, 322–326. https://doi.org/10.1016/j.lindif.2016.08.005

Pouyamanesh, J., & Firoozeh, L. (2013). Compared the Learning Outcomes of Students with Math in High and Low Frustration Tolerance. Procedia - Social and Behavioral Sciences, 84, 837–840. https://doi.org/10.1016/j.sbspro.2013.06.657

Promentilla, M. A. B., Lucas, R. I. G., Aviso, K. B., & Tan, R. R. (2017). Problem-based learning of process systems engineering and process integration concepts with metacognitive strategies: The case of P-graphs for polygeneration systems. Applied Thermal Engineering, 127, 1317–1325. https://doi.org/10.1016/j.applthermaleng.2017.08.086

Rahimi, E., Berg, J. van den, & Veen, W. (2015). Facilitating student-driven constructing of learning environments using Web 2.0 personal learning environments. Computers & Education, 81, 235–246. https://doi.org/10.1016/j.compedu.2014.10.012

Ramadhanti, D., & Yanda, D. P. (2021). Students’ metacognitive awareness and its impact on writing skill. International Journal of Language Education, 5(3), 193–206. https://doi.org/10.26858/ijole.v5i3.18978

Repo, S., Lehtinen, T., Rusanen, E., & Hyytinen, H. (2017). Prior education of Open University students contributes to their capability in critical thinking. Journal of Adult and Continuing Education, 23(1), 61–77. https://doi.org/10.1177/1477971417693416

Reychav, I., & Wu, D. (2015). Mobile collaborative learning: The role of individual learning in groups through text and video content delivery in tablets. Computers in Human Behavior, 50, 520–534. https://doi.org/10.1016/j.chb.2015.04.019

Roebers, C. M., Krebs, S. S., & Roderer, T. (2014). Metacognitive monitoring and control in elementary school children: Their interrelations and their role for test performance. Learning and Individual Differences, 29, 141–149. https://doi.org/10.1016/j.lindif.2012.12.003

Sailer, M., Schultz-Pernice, F., & Fischer, F. (2021). Contextual facilitators for learning activities involving technology in higher education: The C♭-model. Computers in Human Behavior, 121, 106794. https://doi.org/10.1016/j.chb.2021.106794

Samuel, N. N. C., & Okonkwo, I. G. (2021). Relationship between Metacognition, Locus of Control, and Academic Achievement in Secondary School Chemistry Students in Anambra State, Nigeria. Education Research International, 2021, 1–7. https://doi.org/10.1155/2021/6698808

Sato, M., & Lam, C. D. (2021). Metacognitive instruction with young learners: A case of willingness to communicate, L2 use, and metacognition of oral communication. Language Teaching Research, 25(6). https://doi.org/10.1177/13621688211004639

Schraw, G. (2016). Promoting General Metacognitive Awareness. In H. J. Hartman (Ed.), Metacognition in Learning and lrutruction, (pp. 113–125). Kluwer Academic Publishers. https://doi.org/10.1023/A:1003044231033

Seibert, S. A. (2021). Problem-based learning: A strategy to foster generation Z’s critical thinking and perseverance. Teaching and Learning in Nursing, 16(1), 85–88. https://doi.org/10.1016/j.teln.2020.09.002

Shamdas, G. (2023a). Awareness Learning Metacognitive And Critical Thinking Skill Senior High School Students Through Learning Combined With STEM. Journal of Namibian Studies, 34, 5087–5107. https://doi.org/10.59670/jns.v34i.2383

Shamdas, G. (2023b). Problem-Solving Skills for Middle School Students Through the STEM-Based PBL Model. Proceeding SYMBION (Symposium on Biology Education), 5726, 75–86. https://doi.org/10.26555/symbion.11697

Shamdas, G. (2023c). Self-regulated Learning for High School Students in Biology Lessons through the Problem-Based Learning Model. Journal Of Innovation In Educational And Cultural Research, 4(2), 346–353. https://doi.org/10.46843/jiecr.v4i2.652

Shamdas, G. (2023d). The Relationship between Academic Self-Efficacy and Cognitive Learning Outcomes of High School Students in Biology Subjects through Problem-Based Learning Model. Journal of Research in Science Education, 8(7), 5466–5473. https://doi.org/10.21070/acopen.8.2023.5317

Shamdas, G., Bialangi, M., & Buntu, A. (2023). Application of Problem-Based Learning Model STEM-Based on Biology Lessons for High School Students Communication Skills. Indonesian Journal of Science Education, 11(2), 345–359. https://doi.org/10.24815/jpsi.v10i4.28541

Sharma, S., Saragih, I. D., Tarihoran, D. E. T. A. U., & Chou, F.-H. (2023). Outcomes of problem-based learning in nurse education: A systematic review and meta-analysis. Nurse Education Today, 120, 105631. https://doi.org/10.1016/j.nedt.2022.105631

Shieh, R. (2012). The impact of Technology-Enabled Active Learning (TEAL) implementation on student learning and teachers’ teaching in a high school context. Computers & Education, 59(2), 206–214. https://doi.org/10.1016/j.compedu.2012.01.016

Singh, J., Steele, K., & Singh, L. (2021). Combining the Best of Online and Face-to-Face Learning: Hybrid and Blended Learning Approach for COVID-19, Post Vaccine, & Post-Pandemic World. Journal of Educational Technology Systems, 50(2), 140–171. https://doi.org/10.1177/00472395211047865

Singh, & Manjaly, J. A. (2022). Using Curiosity to Improve Learning Outcomes in Schools. SAGE Open, 12(1), 1–15. https://doi.org/10.1177/21582440211069392

Siswati, B. H., & Corebima, A. D. (2017). The Effect of Education Level and Gender on Students ’ Metacognitive Skills in Malang, Indonesia. Advances in Social Sciences Research Journal, 4(4), 163–168. https://doi.org/10.14738/assrj.44.2813

Smith, A. K., Black, S., & Hooper, L. M. (2017). Metacognitive Knowledge, Skills, and Awareness: A Possible Solution to Enhancing Academic Achievement in African American Adolescents. Urban Education, 55(4). https://doi.org/10.1177/0042085917714

Sugiyono. (2013). Metode Penelitian Pendidikan Pendekatan Kuantitatif, Kualitatif dan R&D. Alfabeta.

Susilawati, S., & Doyan, A. (2023). Effect of Problem Based Learning Models Assisted by PhET Simulations on Student Learning Outcomes in Wave Material. Jurnal Penelitian Pendidikan IPA, 9(2), 1004–1008. https://doi.org/10.29303/jppipa.v9i2.4587

Sutarto, Dwi Hastuti, I., Fuster-Guillén, D., Palacios Garay, J. P., Hernández, R. M., & Namaziandost, E. (2022). The Effect of Problem-Based Learning on Metacognitive Ability in the Conjecturing Process of Junior High School Students. Education Research International, 1–10. https://doi.org/10.1155/2022/2313448

Tach, L. M., & Farkas, G. (2006). Learning-related behaviors, cognitive skills, and ability grouping when schooling begins. Social Science Research, 35(4), 1048–1079. https://doi.org/10.1016/j.ssresearch.2005.08.001

Tarmizi, R. A., & Bayat, S. (2010). Effects of Problem-based Learning Approach in Learning of Statistics among University Students. Procedia Social and Behavioral Sciences, 8, 384–392. https://doi.org/10.1016/j.sbspro.2010.12.054

Tarmizi, R. A., & Bayat, S. (2012). Collaborative problem-based learning in mathematics: A cognitive load perspective. Procedia - Social and Behavioral Sciences, 32(2011), 344–350. https://doi.org/10.1016/j.sbspro.2012.01.051

Tong, D. H., Uyen, B. P., & Ngan, L. K. (2022). The effectiveness of blended learning on students’ academic achievement, self-study skills and learning attitudes: A quasi-experiment study in teaching the conventions for coordinates in the plane. Heliyon, 8(12), e12657. https://doi.org/10.1016/j.heliyon.2022.e12657

Urban, K., Pesout, O., Kombrza, J., Urban, M., & Özçakmak, H. (2021). Metacognitively aware university students exhibit higher creativity and motivation to learn. Thinking Skills and Creativity, 42, 100963. https://doi.org/10.1016/j.tsc.2021.100963

Veenman, M. V. J., & Spaans, M. A. (2005). Relation between intellectual and metacognitive skills: Age and task differences. Learning and Individual Differences, 15(2), 159–176. https://doi.org/10.1016/j.lindif.2004.12.001

Veenman, M. V. J., & Verheij, J. (2003). Technical students’ metacognitive skills: relating general vs. specific metacognitive skills to study success. Learning and Individual Differences, 13(3), 259–272. https://doi.org/10.1016/S1041-6080(02)00094-8

Wardoyo, C., Satrio, Y. D., Narmaditya, B. S., & Wibowo, A. (2021). Do technological knowledge and game-based learning promote students achievement: lesson from Indonesia. Heliyon, 7(11), e08467. https://doi.org/10.1016/j.heliyon.2021.e08467

Wei, X., Saab, N., & Admiraal, W. (2023). Do learners share the same perceived learning outcomes in MOOCs? Identifying the role of motivation, perceived learning support, learning engagement, and self-regulated learning strategies. Internet and Higher Education, 56(August), 100880. https://doi.org/10.1016/j.iheduc.2022.100880

Werdiningsih, D., Al-Rashidi, A. H., & Azami, M. I. (2022). The Development of Metacognitive Models to Support Students’ Autonomous Learning: Lessons from Indonesian Primary Schools. Education Research International, 2022, 1–12. https://doi.org/10.1155/2022/6102282

Xu, D. (2022). Construction of an English Research Learning Model Based on Constructivism and Data Mining under a Cloud Computing Platform. Wireless Communications and Mobile Computing, 2022, 1–11. https://doi.org/10.1155/2022/4579547

Yew, E. H. J., & Goh, K. (2016). Problem-Based Learning: An Overview of its Process and Impact on Learning. Health Professions Education, 2(2), 75–79. https://doi.org/10.1016/j.hpe.2016.01.004

You, S., Kim, E. K., Lim, S. A., & Dang, M. (2021). Student and Teacher Characteristics on Student Math Achievement. Journal of Pacific Rim Psychology, 15, 1–13. https://doi.org/10.1177/1834490921991428

Zheng, B., Lin, C.-H., & Kwon, J. B. (2020). The impact of learner-, instructor-, and course-level factors on online learning. Computers & Education, 150, 103851. https://doi.org/10.1016/j.compedu.2020.103851

Zuhrotunnisa, A., & Ngabekti, S. (2020). the Activity and Student Learning Result in the Study of Environment Alteration Subject Using Problem Based Learning Model. Journal of Biology Education, 9(1), 11–19. Retrieved from https://journal.unnes.ac.xn--id-i5t

Author Biographies

Gamar B. N. Shamdas, Tadulako University

Abd. Hakim Laenggeng, Tadulako University

Abdul Ashari, Tadulako University

Rizka Fardha, Tadulako University

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