The Use of Team Teaching Methods to Increase Student Interest and Achievement
Downloads
It is undeniable that students will definitely experience a decline in the learning process. In the learning process students who have a lack of motivation tend to fail to increase the passion for learning. So that it will cause students to find it difficult to achieve targets in improving achievement at school. The researcher's goal in the research to be carried out is to determine the right method in increasing student interest and achievement by using a team teaching method that involves students and educators in the research process. Thus, in this study researchers used qualitative methods conducted by direct interviews and could facilitate researchers in collecting data and asking in detail. From the research conducted, it was found that by using the team teaching method, students will be more controlled in participating in active learning in the classroom. The obstacles that researchers found during the research were that the schools concerned had difficulties when applying the team teaching method in the classroom due to the limited knowledge of teachers to determine the right way of team teaching. From the research conducted, researchers can conclude that students who do not receive direct motivation will affect the enthusiasm and learning outcomes of students, to prevent this, researchers try to use the team teaching method in the learning process and find the results that team teaching can help students play an active role while in class
Al-Shamsi, H. O., Alhazzani, W., Alhuraiji, A., Coomes, E. A., Chemaly, R. F., Almuhanna, M., Wolff, R. A., Ibrahim, N. K., Chua, M. L. K., Hotte, S. J., Meyers, B. M., Elfiki, T., Curigliano, G., Eng, C., Grothey, A., & Xie, C. (2020). A Practical Approach to the Management of Cancer Patients During the Novel Coronavirus Disease 2019 (COVID-19) Pandemic: An International Collaborative Group. The Oncologist, 25(6), e936–e945. https://doi.org/10.1634/theoncologist.2020-0213
Alt, D. (2018). Science teachers’ conceptions of teaching and learning, ICT efficacy, ICT professional development and ICT practices enacted in their classrooms. Teaching and Teacher Education, 73, 141–150. https://doi.org/10.1016/j.tate.2018.03.020
Avelar, A. B. A., Silva-Oliveira, K. D. da, & Pereira, R. da S. (2019). Education for advancing the implementation of the Sustainable Development Goals: A systematic approach. The International Journal of Management Education, 17(3), 100322. https://doi.org/10.1016/j.ijme.2019.100322
Azungah, T. (2018). Qualitative research: Deductive and inductive approaches to data analysis. Qualitative Research Journal, 18(4), 383–400. https://doi.org/10.1108/QRJ-D-18-00035
Bae, J.-S., Bae, H., Joo, Y.-S., Lee, J., Lee, G.-H., & Cho, H.-Y. (2020). Speaking Speed Control of End-to-End Speech Synthesis Using Sentence-Level Conditioning. Interspeech 2020, 4402–4406. https://doi.org/10.21437/Interspeech.2020-1361
Baek, Y., Lee, B., Han, D., Yun, S., & Lee, H. (2019). Character Region Awareness for Text Detection. 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 9357–9366. https://doi.org/10.1109/CVPR.2019.00959
Bartholomew, K. J., Ntoumanis, N., Mouratidis, A., Katartzi, E., Thøgersen-Ntoumani, C., & Vlachopoulos, S. (2018). Beware of your teaching style: A school-year long investigation of controlling teaching and student motivational experiences. Learning and Instruction, 53, 50–63. https://doi.org/10.1016/j.learninstruc.2017.07.006
Barton, G., Bruce, A., & Schreiber, R. (2018). Teaching nurses teamwork: Integrative review of competency-based team training in nursing education. Nurse Education in Practice, 32, 129–137. https://doi.org/10.1016/j.nepr.2017.11.019
Bottou, L., Curtis, F. E., & Nocedal, J. (2018). Optimization Methods for Large-Scale Machine Learning. SIAM Review, 60(2), 223–311. https://doi.org/10.1137/16M1080173
Buswell, R. A., Leal de Silva, W. R., Jones, S. Z., & Dirrenberger, J. (2018). 3D printing using concrete extrusion: A roadmap for research. Cement and Concrete Research, 112, 37–49. https://doi.org/10.1016/j.cemconres.2018.05.006
Cai, H., Zheng, V. W., & Chang, K. C.-C. (2018). A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications. IEEE Transactions on Knowledge and Data Engineering, 30(9), 1616–1637. https://doi.org/10.1109/TKDE.2018.2807452
Chen, C. L. P., & Liu, Z. (2018). Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture. IEEE Transactions on Neural Networks and Learning Systems, 29(1), 10–24. https://doi.org/10.1109/TNNLS.2017.2716952
Cheng, K.-H., & Tsai, C.-C. (2019). A case study of immersive virtual field trips in an elementary classroom: Students’ learning experience and teacher-student interaction behaviors. Computers & Education, 140, 103600. https://doi.org/10.1016/j.compedu.2019.103600
Daniel, S. J. (2020). Education and the COVID-19 pandemic. PROSPECTS, 49(1–2), 91–96. https://doi.org/10.1007/s11125-020-09464-3
Das, B., Mukherjee, V., & Das, D. (2020). Student psychology based optimization algorithm: A new population based optimization algorithm for solving optimization problems. Advances in Engineering Software, 146, 102804. https://doi.org/10.1016/j.advengsoft.2020.102804
Dlouhá, J., & Pospíšilová, M. (2018). Education for Sustainable Development Goals in public debate: The importance of participatory research in reflecting and supporting the consultation process in developing a vision for Czech education. Journal of Cleaner Production, 172, 4314–4327. https://doi.org/10.1016/j.jclepro.2017.06.145
Do?an, S., & Adams, A. (2018). Effect of professional learning communities on teachers and students: Reporting updated results and raising questions about research design. School Effectiveness and School Improvement, 29(4), 634–659. https://doi.org/10.1080/09243453.2018.1500921
Fauth, B., Decristan, J., Decker, A.-T., Büttner, G., Hardy, I., Klieme, E., & Kunter, M. (2019). The effects of teacher competence on student outcomes in elementary science education: The mediating role of teaching quality. Teaching and Teacher Education, 86, 102882. https://doi.org/10.1016/j.tate.2019.102882
Fernández-Sanjurjo, J., Fernández-Costales, A., & Arias Blanco, J. M. (2019). Analysing students’ content-learning in science in CLIL vs. non-CLIL programmes: Empirical evidence from Spain. International Journal of Bilingual Education and Bilingualism, 22(6), 661–674. https://doi.org/10.1080/13670050.2017.1294142
Fiore, E., Sansone, G., & Paolucci, E. (2019). Entrepreneurship Education in a Multidisciplinary Environment: Evidence from an Entrepreneurship Programme Held in Turin. Administrative Sciences, 9(1), 28. https://doi.org/10.3390/admsci9010028
Fox, L., Onders, R., Hermansen-Kobulnicky, C. J., Nguyen, T.-N., Myran, L., Linn, B., & Hornecker, J. (2018). Teaching interprofessional teamwork skills to health professional students: A scoping review. Journal of Interprofessional Care, 32(2), 127–135. https://doi.org/10.1080/13561820.2017.1399868
García-Valcárcel-Muñoz-Repiso, A., & Caballero-González, Y.-A. (2019). Robotics to develop computational thinking in early Childhood Education. Comunicar, 27(59), 63–72. https://doi.org/10.3916/C59-2019-06
Gorbanev, I., Agudelo-Londoño, S., González, R. A., Cortes, A., Pomares, A., Delgadillo, V., Yepes, F. J., & Muñoz, Ó. (2018). A systematic review of serious games in medical education: Quality of evidence and pedagogical strategy. Medical Education Online, 23(1), 1438718. https://doi.org/10.1080/10872981.2018.1438718
Gui, G., Huang, H., Song, Y., & Sari, H. (2018). Deep Learning for an Effective Nonorthogonal Multiple Access Scheme. IEEE Transactions on Vehicular Technology, 67(9), 8440–8450. https://doi.org/10.1109/TVT.2018.2848294
Hernández-Lara, A. B., & Serradell-López, E. (2018). Student interactions in online discussion forums: Their perception on learning with business simulation games. Behaviour & Information Technology, 37(4), 419–429. https://doi.org/10.1080/0144929X.2018.1441326
Holmes, E. A., O’Connor, R. C., Perry, V. H., Tracey, I., Wessely, S., Arseneault, L., Ballard, C., Christensen, H., Cohen Silver, R., Everall, I., Ford, T., John, A., Kabir, T., King, K., Madan, I., Michie, S., Przybylski, A. K., Shafran, R., Sweeney, A., … Bullmore, E. (2020). Multidisciplinary research priorities for the COVID-19 pandemic: A call for action for mental health science. The Lancet Psychiatry, 7(6), 547–560. https://doi.org/10.1016/S2215-0366(20)30168-1
Hu, S., Xu, X., Zhang, Y., Liu, Y., Yang, C., Wang, Y., Wang, Y., Yu, Y., Hong, Y., Zhang, X., Bian, R., Cao, X., Xu, L., & Zhao, F. (2021). A nationwide post-marketing survey of knowledge, attitude and practice toward human papillomavirus vaccine in general population: Implications for vaccine roll-out in mainland China. Vaccine, 39(1), 35–44. https://doi.org/10.1016/j.vaccine.2020.11.029
Jiao, W. Y., Wang, L. N., Liu, J., Fang, S. F., Jiao, F. Y., Pettoello-Mantovani, M., & Somekh, E. (2020). Behavioral and Emotional Disorders in Children during the COVID-19 Epidemic. The Journal of Pediatrics, 221, 264-266.e1. https://doi.org/10.1016/j.jpeds.2020.03.013
Kumar, Y., & Singh, P. K. (2019). A chaotic teaching learning based optimization algorithm for clustering problems. Applied Intelligence, 49(3), 1036–1062. https://doi.org/10.1007/s10489-018-1301-4
Law, K. M. Y., Geng, S., & Li, T. (2019). Student enrollment, motivation and learning performance in a blended learning environment: The mediating effects of social, teaching, and cognitive presence. Computers & Education, 136, 1–12. https://doi.org/10.1016/j.compedu.2019.02.021
Madigan, D. J., & Kim, L. E. (2021). Does teacher burnout affect students? A systematic review of its association with academic achievement and student-reported outcomes. International Journal of Educational Research, 105, 101714. https://doi.org/10.1016/j.ijer.2020.101714
Magwanga, R. O., Lu, P., Kirungu, J. N., Lu, H., Wang, X., Cai, X., Zhou, Z., Zhang, Z., Salih, H., Wang, K., & Liu, F. (2018). Characterization of the late embryogenesis abundant (LEA) proteins family and their role in drought stress tolerance in upland cotton. BMC Genetics, 19(1), 6. https://doi.org/10.1186/s12863-017-0596-1
Mercer, N., Hennessy, S., & Warwick, P. (2019). Dialogue, thinking together and digital technology in the classroom: Some educational implications of a continuing line of inquiry. International Journal of Educational Research, 97, 187–199. https://doi.org/10.1016/j.ijer.2017.08.007
Murphy, M. P. A. (2020). COVID-19 and emergency eLearning: Consequences of the securitization of higher education for post-pandemic pedagogy. Contemporary Security Policy, 41(3), 492–505. https://doi.org/10.1080/13523260.2020.1761749
Mutakinati, L., Anwari, I., & Kumano, Y. (2018). Analysis of Students’ Critical Thinking Skill of Middle School through STEM Education Project-Based Learning. Jurnal Pendidikan IPA Indonesia, 7(1), 54–65. https://doi.org/10.15294/jpii.v7i1.10495
Nouri, J., Zhang, L., Mannila, L., & Norén, E. (2020). Development of computational thinking, digital competence and 21 st century skills when learning programming in K-9. Education Inquiry, 11(1), 1–17. https://doi.org/10.1080/20004508.2019.1627844
Patel, D. R., Cabral, M. D., Ho, A., & Merrick, J. (2020). A clinical primer on intellectual disability. Translational Pediatrics, 9(S1), S23–S35. https://doi.org/10.21037/tp.2020.02.02
Redding, C. (2019). A Teacher Like Me: A Review of the Effect of Student–Teacher Racial/Ethnic Matching on Teacher Perceptions of Students and Student Academic and Behavioral Outcomes. Review of Educational Research, 89(4), 499–535. https://doi.org/10.3102/0034654319853545
Roetzel, P. G. (2019). Information overload in the information age: A review of the literature from business administration, business psychology, and related disciplines with a bibliometric approach and framework development. Business Research, 12(2), 479–522. https://doi.org/10.1007/s40685-018-0069-z
Rose, S. (2020). Medical Student Education in the Time of COVID-19. JAMA, 323(21), 2131. https://doi.org/10.1001/jama.2020.5227
Sidor, A., & Rzymski, P. (2020). Dietary Choices and Habits during COVID-19 Lockdown: Experience from Poland. Nutrients, 12(6), 1657. https://doi.org/10.3390/nu12061657
Su, L., Ma, X., Yu, H., Zhang, Z., Bian, P., Han, Y., Sun, J., Liu, Y., Yang, C., Geng, J., Zhang, Z., & Gai, Z. (2020). The different clinical characteristics of corona virus disease cases between children and their families in China – the character of children with COVID-19. Emerging Microbes & Infections, 9(1), 707–713. https://doi.org/10.1080/22221751.2020.1744483
Sundler, A. J., Lindberg, E., Nilsson, C., & Palmér, L. (2019). Qualitative thematic analysis based on descriptive phenomenology. Nursing Open, nop2.275. https://doi.org/10.1002/nop2.275
Theobald, E. J., Hill, M. J., Tran, E., Agrawal, S., Arroyo, E. N., Behling, S., Chambwe, N., Cintrón, D. L., Cooper, J. D., Dunster, G., Grummer, J. A., Hennessey, K., Hsiao, J., Iranon, N., Jones, L., Jordt, H., Keller, M., Lacey, M. E., Littlefield, C. E., … Freeman, S. (2020). Active learning narrows achievement gaps for underrepresented students in undergraduate science, technology, engineering, and math. Proceedings of the National Academy of Sciences, 117(12), 6476–6483. https://doi.org/10.1073/pnas.1916903117
Waite, S., Grigorian, A., Alexander, R. G., Macknik, S. L., Carrasco, M., Heeger, D. J., & Martinez-Conde, S. (2019). Analysis of Perceptual Expertise in Radiology – Current Knowledge and a New Perspective. Frontiers in Human Neuroscience, 13, 213. https://doi.org/10.3389/fnhum.2019.00213
Wechsler, S. M., Saiz, C., Rivas, S. F., Vendramini, C. M. M., Almeida, L. S., Mundim, M. C., & Franco, A. (2018). Creative and critical thinking: Independent or overlapping components? Thinking Skills and Creativity, 27, 114–122. https://doi.org/10.1016/j.tsc.2017.12.003
Xie, F., & Derakhshan, A. (2021). A Conceptual Review of Positive Teacher Interpersonal Communication Behaviors in the Instructional Context. Frontiers in Psychology, 12, 708490. https://doi.org/10.3389/fpsyg.2021.708490
Yamada, M., Saito, Y., Imaoka, H., Saiko, M., Yamada, S., Kondo, H., Takamaru, H., Sakamoto, T., Sese, J., Kuchiba, A., Shibata, T., & Hamamoto, R. (2019). Development of a real-time endoscopic image diagnosis support system using deep learning technology in colonoscopy. Scientific Reports, 9(1), 14465. https://doi.org/10.1038/s41598-019-50567-5
Copyright (c) 2023 Groop Maija, Groop Tiinamaija, Thorn Antti
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
