The Influence of Project Methods to Develop the Naturalist Intelligence of Children
Abstract
This research was motivated by the low interest of children to care for plants, the lack of concern for plants, the absence of the use of project methods in growing plants. This can be seen from the low awareness of children towards the environment, where children lack interest in maintaining and caring for plants due to the method that is often used by teachers is more of a question and answer method and assignment. So researchers use a different method from the method used usually in Harapan Bunda Kindergarten, which is using the project method which is a learning model that can help children know, and understand in reality. This study aims to determine the influence of project methods to develop children's naturalist intelligence in TK Harapan Bunda Pagaruyung, Tanjung Emas District, Tanah Datar Regency. The study used a quantitative approach with experimental methods, pre-experimental research design with the type of one-geoup pretest-posttest design. In this study, the population was the entire number of children in Tk Harapan Bunda Pagaruyung, Tanjung Emas District, Tanah Datar Regency consisting of 20 people whose sample was 10 people. The treatment given is to use the project method media in developing naturalist intelligence in children. The results showed that the average pre-test result was 0.85. After carrying out the treatment, there was an improvement seen from the post-test results which averaged 11.90. To test the significance of t0 by comparing t0 with tt at the level of significance of 1%, namely tt = 3.30, it can be known that t0 is greater than tt 3.30>3.25. Thus, it means that there is a significant difference between pre-test and post-test in experiments. Thus, the project method affects the knowledge of children's naturalist intelligence in TK Harapan Bunda Pagaruyung, Tanjung Emas District, Tanah Datar Regency.
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References
Abdar, M., Pourpanah, F., Hussain, S., Rezazadegan, D., Liu, L., Ghavamzadeh, M., Fieguth, P., Cao, X., Khosravi, A., Acharya, U. R., Makarenkov, V., & Nahavandi, S. (2021). A review of uncertainty quantification in deep learning: Techniques, applications and challenges. Information Fusion, 76, 243–297. https://doi.org/10.1016/j.inffus.2021.05.008
Amado-Alonso, D., León-del-Barco, B., Mendo-Lázaro, S., Sánchez-Miguel, P., & Iglesias Gallego, D. (2019). Emotional Intelligence and the Practice of Organized Physical-Sport Activity in Children. Sustainability, 11(6), 1615. https://doi.org/10.3390/su11061615
Ammer, L. S., Pohl, S., Breyer, S. R., Aries, C., Denecke, J., Perez, A., Petzoldt, M., Schrum, J., Müller, I., & Muschol, N. M. (2021). Is hematopoietic stem cell transplantation a therapeutic option for mucolipidosis type II? Molecular Genetics and Metabolism Reports, 26, 100704. https://doi.org/10.1016/j.ymgmr.2020.100704
Ancochea, J., Izquierdo, J. L., Savana COVID-19 Research Group, & Soriano, J. B. (2021). Evidence of Gender Differences in the Diagnosis and Management of Coronavirus Disease 2019 Patients: An Analysis of Electronic Health Records Using Natural Language Processing and Machine Learning. Journal of Women’s Health, 30(3), 393–404. https://doi.org/10.1089/jwh.2020.8721
Annapragada, A. V., Donaruma-Kwoh, M. M., Annapragada, A. V., & Starosolski, Z. A. (2021). A natural language processing and deep learning approach to identify child abuse from pediatric electronic medical records. PLOS ONE, 16(2), e0247404. https://doi.org/10.1371/journal.pone.0247404
Bauminger-Zviely, N., & Shefer, A. (2021). Naturalistic evaluation of preschoolers’ spontaneous interactions: The Autism Peer Interaction Observation Scale. Autism, 25(6), 1520–1535. https://doi.org/10.1177/1362361321989919
Bratsberg, B., Rogeberg, O., & Skirbekk, V. (2020). Fathers of children conceived using ART have higher cognitive ability scores than fathers of naturally conceived children. Human Reproduction, 35(6), 1461–1468. https://doi.org/10.1093/humrep/deaa119
Brown, C., & Shay, M. (2021). From resilience to wellbeing: Identity?building as an alternative framework for schools’ role in promoting children’s mental health. Review of Education, 9(2), 599–634. https://doi.org/10.1002/rev3.3264
Brumberg, H. L., Karr, C. J., Bole, A., Ahdoot, S., Balk, S. J., Bernstein, A. S., Byron, L. G., Landrigan, P. J., Marcus, S. M., Nerlinger, A. L., Pacheco, S. E., Woolf, A. D., Zajac, L., Baum, C. R., Campbell, C. C., Sample, J. A., Spanier, A. J., & Trasande, L. (2021). Ambient Air Pollution: Health Hazards to Children. Pediatrics, 147(6), e2021051484. https://doi.org/10.1542/peds.2021-051484
Bux, R. K., Haider, S. I., Batool, M., Solangi, A. R., Memon, S. Q., Shah, Z.-H., Moradi, O., & Vasseghian, Y. (2022). Natural and anthropogenic origin of metallic contamination and health risk assessment: A hydro-geochemical study of Sehwan Sharif, Pakistan. Chemosphere, 300, 134611. https://doi.org/10.1016/j.chemosphere.2022.134611
Carrington, C., Devleesschauwer, B., Gibb, H. J., & Bolger, P. M. (2019). Global burden of intellectual disability resulting from dietary exposure to lead, 2015. Environmental Research, 172, 420–429. https://doi.org/10.1016/j.envres.2019.02.023
Chandravanshi, L., Shiv, K., & Kumar, S. (2021). Developmental toxicity of cadmium in infants and children: A review. Environmental Analysis Health and Toxicology, 36(1), e2021003. https://doi.org/10.5620/eaht.2021003
Clark, H., Coll-Seck, A. M., Banerjee, A., Peterson, S., Dalglish, S. L., Ameratunga, S., Balabanova, D., Bhan, M. K., Bhutta, Z. A., Borrazzo, J., Claeson, M., Doherty, T., El-Jardali, F., George, A. S., Gichaga, A., Gram, L., Hipgrave, D. B., Kwamie, A., Meng, Q., … Costello, A. (2020). A future for the world’s children? A WHO–UNICEF–Lancet Commission. The Lancet, 395(10224), 605–658. https://doi.org/10.1016/S0140-6736(19)32540-1
Cohen, J. F. W., Hecht, A. A., McLoughlin, G. M., Turner, L., & Schwartz, M. B. (2021). Universal School Meals and Associations with Student Participation, Attendance, Academic Performance, Diet Quality, Food Security, and Body Mass Index: A Systematic Review. Nutrients, 13(3), 911. https://doi.org/10.3390/nu13030911
Ding, D., Han, Q.-L., Xiang, Y., Ge, X., & Zhang, X.-M. (2018). A survey on security control and attack detection for industrial cyber-physical systems. Neurocomputing, 275, 1674–1683. https://doi.org/10.1016/j.neucom.2017.10.009
Guan, H., Wei, H., Hauer, R. J., & Liu, P. (2021). Facial expressions of Asian people exposed to constructed urban forests: Accuracy validation and variation assessment. PLOS ONE, 16(6), e0253141. https://doi.org/10.1371/journal.pone.0253141
Gupta, A., de Bruyn, G., Tousseyn, S., Krishnan, B., Lagae, L., Agarwal, N., Minnesota Epilepsy Group, Frost, M., Sparagana, S., LaJoie, J., Riviello, J., Devinsky, O., LaJoie, J., Thiele, E., McClintock, W., Kohrman, M., Brown, C., Kuperman, R., Wu, J., … Jeong, A. (2020). Epilepsy and Neurodevelopmental Comorbidities in Tuberous Sclerosis Complex: A Natural History Study. Pediatric Neurology, 106, 10–16. https://doi.org/10.1016/j.pediatrneurol.2019.12.016
Julvez, J., López-Vicente, M., Warembourg, C., Maitre, L., Philippat, C., Gützkow, K. B., Guxens, M., Evandt, J., Andrusaityte, S., Burgaleta, M., Casas, M., Chatzi, L., de Castro, M., Donaire-González, D., Gražulevi?ien?, R., Hernandez-Ferrer, C., Heude, B., Mceachan, R., Mon-Williams, M., … Vrijheid, M. (2021). Early life multiple exposures and child cognitive function: A multi-centric birth cohort study in six European countries. Environmental Pollution, 284, 117404. https://doi.org/10.1016/j.envpol.2021.117404
Levin-Schwartz, Y., Claus Henn, B., Gennings, C., Coull, B. A., Placidi, D., Horton, M. K., Smith, D. R., Lucchini, R. G., & Wright, R. O. (2021). Integrated measures of lead and manganese exposure improve estimation of their joint effects on cognition in Italian school-age children. Environment International, 146, 106312. https://doi.org/10.1016/j.envint.2020.106312
Li, T., Liu, W., Wang, T., Ming, Z., Li, X., & Ma, M. (2022). Trust data collections via vehicles joint with unmanned aerial vehicles in the smart Internet of Things. Transactions on Emerging Telecommunications Technologies, 33(5). https://doi.org/10.1002/ett.3956
Lieu, J. E. C., Kenna, M., Anne, S., & Davidson, L. (2020). Hearing Loss in Children: A Review. JAMA, 324(21), 2195. https://doi.org/10.1001/jama.2020.17647
Lin, H., Li, R., Liu, Z., Chen, J., Yang, Y., Chen, H., Lin, Z., Lai, W., Long, E., Wu, X., Lin, D., Zhu, Y., Chen, C., Wu, D., Yu, T., Cao, Q., Li, X., Li, J., Li, W., … Liu, Y. (2019). Diagnostic Efficacy and Therapeutic Decision-making Capacity of an Artificial Intelligence Platform for Childhood Cataracts in Eye Clinics: A Multicentre Randomized Controlled Trial. EClinicalMedicine, 9, 52–59. https://doi.org/10.1016/j.eclinm.2019.03.001
Luo, H., Xu, G., Li, C., He, L., Luo, L., Wang, Z., Jing, B., Deng, Y., Jin, Y., Li, Y., Li, B., Tan, W., He, C., Seeruttun, S. R., Wu, Q., Huang, J., Huang, D., Chen, B., Lin, S., … Xu, R. (2019). Real-time artificial intelligence for detection of upper gastrointestinal cancer by endoscopy: A multicentre, case-control, diagnostic study. The Lancet Oncology, 20(12), 1645–1654. https://doi.org/10.1016/S1470-2045(19)30637-0
Mackes, N. K., Golm, D., Sarkar, S., Kumsta, R., Rutter, M., Fairchild, G., Mehta, M. A., Sonuga-Barke, E. J. S., on behalf of the ERA Young Adult Follow-up team, Sonuga-Barke, E., Kennedy, M., Kreppner, J., Knights, N., Kumsta, R., Maughan, B., & Schlotz, W. (2020). Early childhood deprivation is associated with alterations in adult brain structure despite subsequent environmental enrichment. Proceedings of the National Academy of Sciences, 117(1), 641–649. https://doi.org/10.1073/pnas.1911264116
Maimaiti, M., Liu, Y., Luan, H., & Sun, M. (2022). Enriching the transfer learning with pre-trained lexicon embedding for low-resource neural machine translation. Tsinghua Science and Technology, 27(1), 150–163. https://doi.org/10.26599/TST.2020.9010029
Molakeng, M. H., Truter, E., & Fouché, A. (2021). Resilience of child protection social workers: A scoping review. European Journal of Social Work, 24(6), 1028–1050. https://doi.org/10.1080/13691457.2021.1901660
Molteni, E., Sudre, C. H., Canas, L. S., Bhopal, S. S., Hughes, R. C., Antonelli, M., Murray, B., Kläser, K., Kerfoot, E., Chen, L., Deng, J., Hu, C., Selvachandran, S., Read, K., Capdevila Pujol, J., Hammers, A., Spector, T. D., Ourselin, S., Steves, C. J., … Duncan, E. L. (2021). Illness duration and symptom profile in symptomatic UK school-aged children tested for SARS-CoV-2. The Lancet Child & Adolescent Health, 5(10), 708–718. https://doi.org/10.1016/S2352-4642(21)00198-X
Paulus, M. P., Squeglia, L. M., Bagot, K., Jacobus, J., Kuplicki, R., Breslin, F. J., Bodurka, J., Morris, A. S., Thompson, W. K., Bartsch, H., & Tapert, S. F. (2019). Screen media activity and brain structure in youth: Evidence for diverse structural correlation networks from the ABCD study. NeuroImage, 185, 140–153. https://doi.org/10.1016/j.neuroimage.2018.10.040
Purkarthofer, J. (2019). Building expectations: Imagining family language policy and heteroglossic social spaces. International Journal of Bilingualism, 23(3), 724–739. https://doi.org/10.1177/1367006916684921
Riglin, L., Wootton, R. E., Thapar, A. K., Livingston, L. A., Langley, K., Collishaw, S., Tagg, J., Smith, G. D., Stergiakouli, E., Tilling, K., & Thapar, A. (2021). Variable Emergence of Autism Spectrum Disorder Symptoms From Childhood to Early Adulthood. American Journal of Psychiatry, 178(8), 752–760. https://doi.org/10.1176/appi.ajp.2020.20071119
Sugiarti, R., Erlangga, E., Suhariadi, F., Winta, M. V. I., & Pribadi, A. S. (2022). The influence of parenting on building character in adolescents. Heliyon, 8(5), e09349. https://doi.org/10.1016/j.heliyon.2022.e09349
Sun, H., Burton, H. V., & Huang, H. (2021). Machine learning applications for building structural design and performance assessment: State-of-the-art review. Journal of Building Engineering, 33, 101816. https://doi.org/10.1016/j.jobe.2020.101816
Sun, J., Liu, Q., & Yu, S. (2019). Child neglect, psychological abuse and smartphone addiction among Chinese adolescents: The roles of emotional intelligence and coping style. Computers in Human Behavior, 90, 74–83. https://doi.org/10.1016/j.chb.2018.08.032
Suri, D., & Chandra, D. (2021). Teacher’s Strategy for Implementing Multiculturalism Education Based on Local Cultural Values and Character Building for Early Childhood Education. Journal of Ethnic and Cultural Studies, 8(4), 271–285. https://doi.org/10.29333/ejecs/937
Ting, F., & Baillargeon, R. (2021). Toddlers draw broad negative inferences from wrongdoers’ moral violations. Proceedings of the National Academy of Sciences, 118(39), e2109045118. https://doi.org/10.1073/pnas.2109045118
Torous, J., Bucci, S., Bell, I. H., Kessing, L. V., Faurholt?Jepsen, M., Whelan, P., Carvalho, A. F., Keshavan, M., Linardon, J., & Firth, J. (2021). The growing field of digital psychiatry: Current evidence and the future of apps, social media, chatbots, and virtual reality. World Psychiatry, 20(3), 318–335. https://doi.org/10.1002/wps.20883
Tsubouchi, Y., Tanabe, A., Saito, Y., Noma, H., & Maegaki, Y. (2019). Long?term prognosis of epilepsy in patients with cerebral palsy. Developmental Medicine & Child Neurology, 61(9), 1067–1073. https://doi.org/10.1111/dmcn.14188
Valovi?ová, ?., Trníková, J., Sollárová, E., & Katrušín, B. (2020). Stimulation and Development of Intellectual Abilities in Preschool-Age Children. Education Sciences, 10(2), 43. https://doi.org/10.3390/educsci10020043
Wang, Z., Buu, A., Lohrmann, D. K., Shih, P. C., & Lin, H.-C. (2021). The role of family conflict in mediating impulsivity to early substance exposure among preteens. Addictive Behaviors, 115, 106779. https://doi.org/10.1016/j.addbeh.2020.106779
Waters, L., Algoe, S. B., Dutton, J., Emmons, R., Fredrickson, B. L., Heaphy, E., Moskowitz, J. T., Neff, K., Niemiec, R., Pury, C., & Steger, M. (2022). Positive psychology in a pandemic: Buffering, bolstering, and building mental health. The Journal of Positive Psychology, 17(3), 303–323. https://doi.org/10.1080/17439760.2021.1871945
Wei, F., Mortimer, M., Cheng, H., Sang, N., & Guo, L.-H. (2021). Parabens as chemicals of emerging concern in the environment and humans: A review. Science of The Total Environment, 778, 146150. https://doi.org/10.1016/j.scitotenv.2021.146150
Yuan, Y., Huang, J., Ma, X., & Yan, K. (2020). Children’s Drawing Psychological Analysis using Shallow Convolutional Neural Network. 2020 International Conferences on Internet of Things (IThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics), 692–698. https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics50389.2020.00120
Zaltz, Y., Bugannim, Y., Zechoval, D., Kishon-Rabin, L., & Perez, R. (2020). Listening in Noise Remains a Significant Challenge for Cochlear Implant Users: Evidence from Early Deafened and Those with Progressive Hearing Loss Compared to Peers with Normal Hearing. Journal of Clinical Medicine, 9(5), 1381. https://doi.org/10.3390/jcm9051381
Zin, T. T., Thant, S., Pwint, M. Z., & Ogino, T. (2021). Handwritten Character Recognition on Android for Basic Education Using Convolutional Neural Network. Electronics, 10(8), 904. https://doi.org/10.3390/electronics10080904
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