The Role of Teacher Response and Support in Fostering Smart Risk-Taking Behavior of K-12 Chemistry Students Through Learning Intention

Dominikus Djago Djoa, Sunyono Sunyono, Hasan Hariri, Taufik Rahman

Abstract


Abstract: The Role of Teacher Response and Support in Fostering Smart Risk-Taking Behavior of K-12 Chemistry Students Through Learning Intention. Objectives: This study explores how teacher support influences K-12 students' learning intentions and risk-taking in Indonesian chemistry education, aiming to bolster creative and critical thinking. Methods: A quantitative survey aligned with the positivist paradigm examines the dynamics between teacher behaviours, classroom interactions, and students' willingness for intelligent risk-taking. Findings: It reveals the critical role of supportive teaching methods in promoting smart risk-taking, enhancing classroom engagement, and shaping students' educational interests and attitudes. These insights suggest a profound impact on educational practices in chemistry, highlighting the importance of supportive learning environments. Conclusion: The research emphasizes the need for fostering robust teacher-student engagement and creating conducive learning spaces, with broad implications for teacher training, curriculum design, and educational policy. It underscores the value of dynamic, engaging, and effective learning experiences in the chemistry classroom that empower students to take intelligent risks, significantly contributing to their educational development.

 

Keywords: chemistry smart taking behavior; k12 students; learning intention; teacher support and response.


DOI: http://dx.doi.org/10.23960/jpp.v14.i1.202403


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Aldridge, J. M., Afari, E., & Fraser, B. J. (2013). Influence of teacher support and personal relevance on academic self-efficacy and enjoyment of mathematics lessons: A structural equation modeling approach. Alberta Journal of Educational Research, 58(4).

Allee-Smith, P. J., Im, M. H., Hughes, J. N., & Clemens, N. H. (2018). Mentor support provisions scale: measure dimensionality, measurement invariance, and associations with adolescent school functioning. Journal of School Psychology, 67. https://doi.org/10.1016/j.jsp.2017.09.006

Allmond, S., Hillman, J., Huntly, K., Makar, K., & O ’brien, M. (2016). Assessing children’s progress in taking intellectual risks in a mathematical inquiry classroom with a positive learning approach. Opening up Mathematics Education Research.

Avargil, S. (2019). Learning chemistry: self-efficacy, chemical understanding, and graphing skills. Journal of Science Education and Technology, 28(4). https://doi.org/10.1007/s10956-018-9765-x

Barrows, H. S. (1996). Problem-based learning in medicine and beyond: A brief overview. New Directions for Teaching and Learning, 1996(68). https://doi.org/10.1002/tl.37219966804

Beghetto, R. A. (2009). Correlates of intellectual risk taking in elementary school science. Journal of Research in Science Teaching, 46(2). https://doi.org/10.1002/tea.20270

Beghetto, R. A., Karwowski, M., & Reiter-Palmon, R. (2021). Intellectual risk taking: a moderating link between creative confidence and creative behavior? Psychology of Aesthetics, Creativity, and the Arts, 15(4). https://doi.org/10.1037/aca0000323

Bellová, R., Melicherčíková, D., & Tomčík, P. (2018). Approximate relations in ph calculations for aqueous solutions of extremely weak acids: a topic for problem-based learning. Journal of Chemical Education, 95(9). https://doi.org/10.1021/acs.jchemed.8b00086

Blizak, D., Blizak, S., Bouchenak, O., & Yahiaoui, K. (2020). Students’ perceptions regarding the abrupt transition to online learning during the covid-19 pandemic: Case of faculty of chemistry and hydrocarbons at the university of boumerdes-algeria. Journal of Chemical Education, 97(9). https://doi.org/10.1021/acs.jchemed.0c00668

Bordt, M., de Broucker, P., Read, C., Harris, S., & Zhang, Y. (2001). Determinants of science and technology skills: Overview of the study. 8, 8–11.

Cáceres-Jensen, L., Rodríguez-Becerra, J., Jorquera-Moreno, B., Escudey, M., Druker-Ibañez, S., Hernández-Ramos, J., Diáz-Arce, T., Pernaa, J., & Aksela, M. (2021). Learning reaction kinetics through sustainable chemistry of herbicides: A case study of preservice chemistry teachers’ perceptions of problem-based technology enhanced learning. Journal of Chemical Education, 98(5). https://doi.org/10.1021/acs.jchemed.0c00557

Çakır, E., & Yaman, Doç. Dr. S. (2015). Ortaokul öğrencilerinin zihinsel risk alma becerileri ve üst bilişsel farkındalıkları ile akademik başarıları arasındaki ilişki. Gazi Eğitim Bilimleri Dergisi, 163–178.

Chang, J., Yoo, S. J., & Kim, S. (2021). Development and application of computerized risk registry and management tool based on FMEA and FRACAS for total testing process. Medicina (Lithuania), 57(5). https://doi.org/10.3390/medicina57050477

Chiu, M. M., & Chow, B. W. Y. (2011). Classroom discipline across forty-one countries: School, economic, and cultural differences. Journal of Cross-Cultural Psychology, 42(3). https://doi.org/10.1177/0022022110381115

Clifford, M. (1991). Risk taking: theoretical, empirical, and educational considerations. Educational Psychologist, 26(3). https://doi.org/10.1207/s15326985ep2603&4_4

Costantino, L., & Barlocco, D. (2019). Teaching an undergraduate organic chemistry laboratory course with a tailored problem-based learning approach. Journal of Chemical Education, 96(5). https://doi.org/10.1021/acs.jchemed.8b01027

Cousins, A. (2007). Gender inclusivity in secondary chemistry: A study of male and female participation in secondary school chemistry. International Journal of Science Education, 29(6). https://doi.org/10.1080/09500690600823508

Dalgety, J., & Coll, R. K. (2006). The influence of first-year chemistry students’ learning experiences on their educational choices. Assessment and Evaluation in Higher Education, 31(3). https://doi.org/10.1080/02602930500352931

David, R. E., & Dobreanu, M. (2022). A practical approach to using quality indicators in continuous quality improvement processes in a medical laboratory. Clinical Laboratory, 68(1). https://doi.org/10.7754/Clin.Lab.2021.210339

Deci, E. L., & Ryan, R. M. (2013). Intrinsic motivation and self-determination in human behavior. books.google.com. https://books.google.com/books?hl=en&lr=&id=M3CpBgAAQBAJ&oi=fnd&pg=PA1&dq=self+directed+learning&ots=uojEhR3-Z2&sig=12sIHkmLfZn51_QGqubPKM0WL4w

Demaray, M. K., & Malecki, C. K. (2002). The relationship between perceived social support and maladjustment for students at risk. Psychology in the Schools, 39(3), 305–316. https://doi.org/10.1002/pits.10018

Djoa, D. D., Sunyono, S., & Rosidin, U. (2023). Determinant factors of smart risk-taking behavior: an empirical analysis of indonesian high school students’ chemistry learning. International Journal of Educational Methodology, 9(3), 493–507. https://doi.org/10.12973/ijem.9.3.493

Dreier, D. A., Rodney, S. I., Moore, D. R. J., Grant, S. L., Chen, W., Valenti, T. W., & Brain, R. A. (2021). Integrating exposure and effect distributions with the ecotoxicity risk calculator: case studies with crop protection products. Integrated Environmental Assessment and Management, 17(2). https://doi.org/10.1002/ieam.4344

Duch, B. (1996). Problem-based learning in physics: the power of students teaching students. Journal of College Science Teaching, 15(5).

Eysenck, S. B. G., & Eysenck, H. J. (1977). The place of impulsiveness in a dimensional system of personality description. British Journal of Social and Clinical Psychology, 16(1). https://doi.org/10.1111/j.2044-8260.1977.tb01003.x

Fahmi, M., Kostini, N., & Putra, W. B. T. S. (2022). Exploring hybrid learning readiness and acceptance model using the extended TAM 3 and TPB approach: An empirical analysis. International Journal of Research in Business and Social Science (2147- 4478), 11, 321–334. https://doi.org/10.20525/ijrbs.v11i8.2144

Fraser, B. (1998). Classroom environment instruments: Development, validity and applications. Learning Environments Research, 1(1). https://doi.org/Article

Fredricks, J. A., & Eccles, J. S. (2002). Children’s competence and value beliefs from childhood through adolescence: growth trajectories in two male-sex-typed domains. Developmental Psychology, 38(4). https://doi.org/10.1037/0012-1649.38.4.519

Furby, L., & Beyth-Marom, R. (1992). Risk taking in adolescence: A decision-making perspective. Developmental Review, 12(1). https://doi.org/10.1016/0273-2297(92)90002-J

Gaustad, J. (1992). Tutoring for at-risk students. Orgegon School Study Council, Eugene, 36(3).

Gizynski, M. N., Eisenhuth, E., Miller, M. E., & Felton, J. R. (1986). Book reviews: Bowlby - Attachment and Loss. Clinical Social Work Journal, 14(4).

Hair, J. F., Hult, G. T., Ringle, C., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM). In Sage.

Hayes, A. F., & Preacher, K. J. (2006). Asymptotic and resampling strategies for assessing and comparing indirect effects in simple and multiple mediator models. Multiple Mediation, 7556(785).

Henseler, J. (2015). PLS-MGA : A non-parametric approach to partial least squares-based multi-group. Challenges at the Interface of Data Analysis, Computer Science, and Optimization, 495–501.

Henseler, J., Dijkstra, T. K., Sarstedt, M., Ringle, C. M., Diamantopoulos, A., Straub, D. W., Ketchen, D. J., Hair, J. F., Hult, G. T. M., & Calantone, R. J. (2014). Common beliefs and reality about partial least squares: comments on rönkkö & evermann (2013),. Organizational Research Methods, 17(2).

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1). https://doi.org/10.1007/s11747-014-0403-8

Herman, J. L. (1992). Trauma and recovery. In Trauma and recovery. Basic Books/Hachette Book Group.

Hidi, S. (2006). Interest: A unique motivational variable. Educational Research Review, 1(2). https://doi.org/10.1016/j.edurev.2006.09.001

Hmelo-Silver, C. E. (2004). Problem-based learning: What and how do students learn? In Educational Psychology Review (Vol. 16, Issue 3). https://doi.org/10.1023/B:EDPR.0000034022.16470.f3

Howes, C., Matheson, C. C., & Hamilton, C. E. (1994). Maternal, teacher, and child care history correlates of children’s relationships with peers. Child Development, 65(1). https://doi.org/10.1111/j.1467-8624.1994.tb00749.x

Hughes, J. C., & Rog, E. (2008). Talent management: A strategy for improving employee recruitment, retention and engagement within hospitality organizations. International Journal of Contemporary Hospitality Management, 20(7). https://doi.org/10.1108/09596110810899086

Jegede, S. A. (2007). Students’ Anxiety towards the learning of chemistry in some nigerian secondary schools. Educational Research and Reviews, 2(7).

Klein, S. A. (2001). Measuring, estimating, and understanding the psychometric function: A commentary. In Perception and Psychophysics (Vol. 63, Issue 8). https://doi.org/10.3758/BF03194552

Krapp, A. (2005). Basic needs and the development of interest and intrinsic motivational orientations. Learning and Instruction, 15(5). https://doi.org/10.1016/j.learninstruc.2005.07.007

Krapp, A., & Prenzel, M. (2011). Research on interest in science: Theories, methods, and findings. International Journal of Science Education, 33(1). https://doi.org/10.1080/09500693.2010.518645

Kristiyani, T. (2016). Self-Regulated Learning konsep, implikasi, dan tantangannya bagi siswa di Indonesia. Sanata Dharma University Press.

Kunaifi, A., Suryani, E., Fahmi, M. A., Natari, S. U., & Putra, W. B. T. S. (2022). Evaluation of the raw material import process using the authorized economic operator application. Review of Integrative Business and Economics Research, 12(4).

Langford, C. P. H., Bowsher, J., Maloney, J. P., & Lillis, P. P. (1997). Social support: A conceptual analysis. Journal of Advanced Nursing, 25(1). https://doi.org/10.1046/j.1365-2648.1997.1997025095.x

Langhout, R. D., & Mitchell, C. A. (2008). Engaging contexts: Drawing the link between student and teacher experiences of the hidden curriculum. Journal of Community and Applied Social Psychology, 18(6). https://doi.org/10.1002/casp.974

Longobardi, C., Prino, L., Marengo, D., & Settanni, M. (2016). Student-teacher relationships as a protective factor for school adjustment during the transition from Middle to High School. Frontiers in Psychology, 7. https://doi.org/10.3389/fpsyg.2016.01988

Malecki, C. K., & Demaray, M. K. (2002). Measuring perceived social support: Development of the Child and Adolescent Social Support Scale (CASSS). Psychology in the Schools, 39(1). https://doi.org/10.1002/pits.10004

Masnick, A. M., Valenti, S. S., Cox, B. D., & Osman, C. J. (2010). A multidimensional scaling analysis of students’ attitudes about science careers. International Journal of Science Education, 32(5). https://doi.org/10.1080/09500690902759053

Meehan, B. T., Hughes, J. N., & Cavell, T. A. (2003). Teacher-student relationships as compensatory resources for aggressive children. In Child Development (Vol. 74, Issue 4). https://doi.org/10.1111/1467-8624.00598

Miller, A., Ferguson, E., & Byrne, I. (2000). Pupils’ causal attributions for difficult classroom behaviour. British Journal of Educational Psychology, 70(1). https://doi.org/10.1348/000709900157985

Montserrat, R. V. (2009). El aprendizaje basado en problemas. Una propuesta metodológica en la Educación Superior. (Spanish). Revista Española de Pedagogía, 243.

Moore, D. W., Ruffle, B., McQueen, A., Thakali, S., & Edwards, D. (2023). Frameworks for screening and risk management of chemicals and advanced materials: A critical review. Integrated Environmental Assessment and Management, 19(5). https://doi.org/10.1002/ieam.4590

Murcia, J. E., Martinez, S., Martins, V., Herrera, D., Buitrago, C., Velasquez, A., Ruiz, F., & Torres, M. (2023). Risk assessment and green chemistry applied to waste generated in university laboratories. Heliyon, 9(5). https://doi.org/10.1016/j.heliyon.2023.e15900

Nelson, D. J., & Cheng, H. N. (2017). Diversity in Science: an overview. in diversity in the scientific community volume 1: quantifying diversity and formulating success (Vol. 1255, pp. 1–12). American Chemical Society. https://doi.org/doi:10.1021/bk-2017-1255.ch001

Norman, G. R., & Schmidt, H. G. (1992). The psychological basis of problem-based learning: A review of the evidence. Academic Medicine, 67(9). https://doi.org/10.1097/00001888-199209000-00002

Patrick, H., Kaplan, A., & Ryan, A. M. (2011). Positive classroom motivational environments: convergence between mastery goal structure and classroom social climate. Journal of Educational Psychology, 103(2). https://doi.org/10.1037/a0023311

Perry, J. C., Liu, X., & Pabian, Y. (2010). School engagement as a mediator of academic performance among urban youth: the role of career preparation, parental career support, and teacher support. The Counseling Psychologist, 38(2). https://doi.org/10.1177/0011000009349272

Putra, W. B. T. S. (2022). Problems, common beliefs and procedures on the use of partial least squares structural equation modeling in business research. South Asian Journal of Social Studies and Economics, 14(1), 1–20. https://doi.org/10.9734/sajsse/2022/v14i130367

Putri, O. S. A. (2020). Hubungan dukungan sosial orang tua dan adaptabilitas karir pada siswa kelas x di sma negeri 1 tanjungpandan provinsi kepulauan bangka belitung. hubungan dukungan sosial orang tua dan adaptabilitas karir pada siswa kelas x di sma negeri 1 tanjungpandan provinsi kepulauan bangka belitung. Fakultas Psikologi Universitas Diponegoro.

Radloff, J., Capobianco, B., & Capobianco, B. (2019). Elementary teachers’ positive and practical risk- taking when teaching science through engineering design. Journal of Pre-College Engineering Education Research, 9(2). https://doi.org/10.7771/2157-9288.1208

Reddy, R., Rhodes, J. E., & Mulhall, P. (2003). The influence of teacher support on student adjustment in the middle school years: A latent growth curve study. Development and Psychopathology, 15(1). https://doi.org/10.1017/S0954579403000075

Reniers, R. L. E. P., Murphy, L., Lin, A., Bartolomé, S. P., & Wood, S. J. (2016). Risk Perception and risk-taking behaviour during adolescence: the influence of personality and gender. PLOS ONE, 11(4). https://doi.org/10.1371/journal.pone.0153842

Rinaldi, F. R., & Putra, W. B. T. S. (2022). Why HR, corporate and marketing communication divisions should work together? The mediating role of Indonesia Bank’s employer branding to attract job pursuit intention. International Journal of Research in Business and Social Science (2147- 4478), 11(8), 11–23. https://doi.org/10.20525/ijrbs.v11i8.2121

Rodrigues, S. (2007). Factors that influence pupil engagement with science simulations: The role of distraction, vividness, logic, instruction and prior knowledge. Chemistry Education Research and Practice, 8(1). https://doi.org/10.1039/B6RP90016J

Roorda, D. L., Koomen, H. M. Y., Spilt, J. L., & Oort, F. J. (2011). The influence of affective teacher–student relationships on students’ school engagement and achievement: A meta-analytic approach. Review of Educational Research, 81, 493–529. https://doi.org/10.3102/0034654311421793

Ryan, R. M., & Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55(1). https://doi.org/10.1037/0003-066X.55.1.68

Salta, K., & Tzougraki, C. (2004). Attitudes toward chemistry among 11th grade students in high schools in Greece. Science Education, 88(4). https://doi.org/10.1002/sce.10134

Sarstedt, M., Hair, J. F., Cheah, J. H., Becker, J. M., & Ringle, C. M. (2019). How to specify, estimate, and validate higher-order constructs in PLS-SEM. Australasian Marketing Journal, 27(3). https://doi.org/10.1016/j.ausmj.2019.05.003

Schiersmann, C., Ertelt, B.-J., Katsarov, J., Mulvey, R., Reid, H., & Weber, P. (2012). NICE handbook for the academic training of career guidance and counselling professionals. Heidelberg University.

Sekaran, U., & Bougie, R. (2016). Research method for business textbook (a skill building approach). United States: John Wiley & Sons Inc.

Shuell, T. J. (1996). Teaching and learning in a classroom context. In Handbook of educational psychology. (pp. 726–764). Prentice Hall International.

Shultz, G. V., & Li, Y. (2016). Student development of information literacy skills during problem-based organic chemistry laboratory experiments. Journal of Chemical Education, 93(3). https://doi.org/10.1021/acs.jchemed.5b00523

Skinner, E. A., & Belmont, M. J. (1993). Motivation in the classroom: reciprocal effects of teacher behavior and student engagement across the school year. Journal of Educational Psychology, 85(4). https://doi.org/10.1037/0022-0663.85.4.571

Skinner, E., Furrer, C., Marchand, G., & Kindermann, T. (2008). Engagement and disaffection in the classroom: part of a larger motivational dynamic? Journal of Educational Psychology, 100(4). https://doi.org/10.1037/a0012840

Sunyono, S., & Meristin, A. (2022). Learning motivation and smart risk-taking behavior of students for prospective teacher of chemistry in online learning during the covid-19 pandemic. Jurnal Pendidikan Dan Pembelajaran Kimia, 11(1).

Tardy, C. H. (1985). Social support measurement. American Journal of Community Psychology, 13(2), 187–202. https://doi.org/10.1007/BF00905728

Tytler, R., & Symington, D. (2006). Science in school and society. Teaching Science; v.52 n.3 p.10-15; Spring 2006, 52(3), 10–15. https://search.informit.org/doi/10.3316/aeipt.156018

Vigny, C., Socquet, A., Peyrat, S., Ruegg, J.-C., Métois, M., Madariaga, R., Morvan, S., Lancieri, M., Lacassin, R., Campos, J., Carrizo, D., Bejar-Pizarro, M., Barrientos, S., Armijo, R., Aranda, C., Valderas-Bermejo, M.-C., Ortega, I., Bondoux, F., Baize, S., … Kendrick, E. (2011). The 2010 Mw 8.8 Maule Megathrust Earthquake of Central Chile, Monitored by GPS. Science, 332(6036), 1417–1421. https://doi.org/10.1126/science.1204132

Wellborn, J. G. (1992). Engaged and disaffected action: The conceptualization and measurement of motivation in the academic domain. In Dissertation Abstracts International.

Wellborn, J. G., & Connell, J. P. (1987). Manual for the Rochester assessment package for schools. Rochester, NY: University of Rochester.

Wellhöfer, L., & Lühken, A. (2022). Problem-based learning in an introductory inorganic laboratory: identifying connections between learner motivation and implementation. Journal of Chemical Education, 99(2). https://doi.org/10.1021/acs.jchemed.1c00808

Wentzel, K. R., Battle, A., Russell, S. L., & Looney, L. B. (2010). Social supports from teachers and peers as predictors of academic and social motivation. Contemporary Educational Psychology, 35(3). https://doi.org/10.1016/j.cedpsych.2010.03.002

Williams, D. P. (2017). Learn on the move: a problem-based induction activity for new university chemistry students. Journal of Chemical Education, 94(12). https://doi.org/10.1021/acs.jchemed.7b00399

Williams, D. P., Woodward, J. R., Symons, S. L., & Davies, D. L. (2010). A Tiny adventure: the introduction of problem based learning in an undergraduate chemistry course. Chemistry Education Research and Practice, 11(1). https://doi.org/10.1039/c001045f

Witt, H., Mack, S. C., Ryzhova, M., Bender, S., Sill, M., Isserlin, R., Benner, A., Hielscher, T., Milde, T., Remke, M., Jones, D. T. W., Northcott, P. A., Garzia, L., Bertrand, K. C., Wittmann, A., Yao, Y., Roberts, S. S., Massimi, L., Van Meter, T., … Pfister, S. M. (2011). Delineation of two clinically and molecularly distinct subgroups of posterior fossa ependymoma. Cancer Cell, 20(2). https://doi.org/10.1016/j.ccr.2011.07.007

Woodrow, D. (1996). Cultural inclinations towards studying mathematics and sciences. New Community, 22(1).

Yew, E. H. J., & Goh, K. (2016). Problem-based learning: an overview of its process and impact on learning. In Health Professions Education (Vol. 2, Issue 2, pp. 75–79). King Saud bin Abdulaziz University. https://doi.org/10.1016/j.hpe.2016.01.004

Zhang, J., Yuen, M., & Chen, G. (2018). Teacher support for career development: an integrative review and research agenda. In Career Development International (Vol. 23, Issue 2). https://doi.org/10.1108/CDI-09-2016-0155

Zhang, M., Wang, X., Mannan, M. S., Qian, C., & Wang, J. yang. (2017). System dynamical simulation of risk perception for enterprise decision-maker in communication of chemical incident risks. Journal of Loss Prevention in the Process Industries, 46. https://doi.org/10.1016/j.jlp.2017.01.019


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