Uzaktan Eğitim Sürecinde Isıl Konfor Çevrimiçi Simülasyon Araçlarının Uygulamalı Bir Yüksek Lisans Dersinde Kullanımının Değerlendirilmesi
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Date
2024
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Abstract
Covid 19 pandemisi ile birlikte eğitim alanında uzaktan eğitime zorunlu bir geçiş yaşanmıştır. Örnek olay çalışması İç Mekan Konfor Yönetimi yüksek lisans dersinde gerçekleştirilmiştir. Doğrudan güneş ışığının kullanıcının adaptif termal konforunu nasıl etkilediğini incelemek amacıyla Yaşar Üniversitesi'nde bu ders kapsamında termal konforu değerlendirmek için çevrimiçi araçlarla simülasyonlar yapılmıştır. CBE çevrimiçi araçlarından SolarCal ve ComfTool kullanılmıştır. Bu makale uyarlanabilir ısıl konforun yönlerini kavramak için öğrencilere verilen bir anket aracılığıyla çevrimiçi simülasyon araçlarının eğitime katkısını sorgulamayı amaçlamaktadır. Yukarıda bahsedilen çevrimiçi araçların ve formüllerin kullanımı özellikle mimarlık ve mühendislik endüstrileri için profesyoneller için sınırlı imkanlarda çalışmaları zenginleştirebilir ve sonuçlar çıkarabilir. Anketin sonuçları çeşitli uyarlanabilir termal konfor endekslerinin bir kerede kolayca anlaşılması için böyle bir metodolojinin benzer öğrenme ortamlarında uygulanabilirliğini sağlamak için analiz edilecektir.
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Mimarlık
Fields of Science
05 social sciences, 0211 other engineering and technologies, 02 engineering and technology, 0503 education
Citation
Agustí-Juan I. Müller F. Hack N. Wangler T. & Habert G. (2017). Potential benefits of digital fabrication for complex structures: Environmental assessment of a robotically fabricated concrete wall. Journal of Cleaner Production 154 330-340.Albatayneh A. Alterman D. Page A. & Moghtaderi B. (2017). Temperature versus energy based approaches in the thermal assessment of buildings. Energy Procedia 128 46-50.Anand P. Deb C. & Alur R. (2017). A simplified tool for building layout design based on thermal comfort simulations. Frontiers of Architectural Research 6(2) 218-230.Arens E. Hoyt T. Zhou X. Huang L. Zhang H. & Schiavon S. (2015). Modeling the comfort effects of short-wave solar radiation indoors. Building and Environment 88 3-9.ANSI/ASHRAE. (2017). Standard 55: 2017 Thermal Environmental Conditions for Human Occupancy. ASHRAE Atlanta. Access Address (26.03.2024): https://www.ashrae.org/file%20library/technical%20resources/standards%20and%20guidelines/standards%20 addenda/55_2017_d_20200731.pdfBeizaee A. Firth S. Vadodaria K. & Loveday D. (2012). Assessing the ability of PMV model in predicting thermal sensation in naturally ventilated buildings in UK. in: Proceedings of the 7th Windsor Conference: The changing context of comfort in an unpredictable world London 12-15 April 2012.Brager G. S. & De Dear R. J. (1998). Thermal adaptation in the built environment: A literature review. Energy and Buildings 27(1) 83-96.Buda R. (2009). Learning–testing process in classroom: An empirical simulation model. Computers & Education 52(1) 177-187.Campos N. Nogal M. Caliz C. & Juan A. A. (2020). Simulation-based education involving online and on- campus models in different European universities. International Journal of Educational Technology in Higher Education 17(1) 1-15.Comite'Europe'en de Normalisation C. E. N. 16798–1: (2019). Indoor environmental input parameters for design and assessment of energy performance of buildings addressing indoor air quality thermal environment lighting and acoustics. EN 15251. Access Address (26.03.2024): cir.nii.ac.jpD’Ambrosio Alfano F. R. Olesen B. W. Palella B. I. & Riccio G. (2014). Thermal comfort: Design and assessment for energy saving. Energy and Buildings 81 326–336. https://doi.org/10.1016/j.enbuild.2014.06.033De Dear R. J. & Brager G. S. (2002). Thermal comfort in naturally ventilated buildings: Revisions to ASHRAE Standard 55. Energy and Buildings 34(6) 549-561.Fanger P. O. (1970). Thermal comfort. Analysis and applications in environmental engineering. Copenhagen: Danish Technical Press.Holmberg B. (1977). Distance education: A survey and bibliography. UK: Nichols Publishing Company.Hodges C. Moore S. Lockee B. Trust T. & Bond A. (2020). The difference between emergency remote teaching and online learning. Educause Review 27 1-12.Huizenga C. Hui Z. & Arens E. (2001). A model of human physiology and comfort for assessing complex thermal environments. Building and Environment 36(6) 691-699.Huizenga C. Abbaszadeh S. Zagreus L. & Arens E. A. (2006). Air quality and thermal comfort in office buildings: Results of a large indoor environmental quality survey. Proceedings of Healthy Buildings 2006 Lisbon Vol. III 393-397.Humphreys M. A. & Nicol J. F. (2002). The validity of ISO-PMV for predicting comfort votes in every-day thermal environments. Energy and buildings 34(6) 667-684.ISO-7730. (2005). Ergonomics of the Thermal Environment — Analytical Determination and Interpretation of Thermal Comfort Using Calculation of the PMV and PPD Indices and Local Thermal Comfort Criteria third ed. ISO.Kauser A. N. (2021). Rethinking architecture pedagogy in the era of pandemics. Charrette 1(1) 1-6.Luna A. Chong M. & Jurburg D. (2018). Learning strategies to optimize the assimilation of ITC2 competencies for business engineering programs. In 2018 IEEE International Conference on Teaching Assessment and Learning for Engineering (TALE) (pp. 616-623). IEEE.Nicol J. F. & Humphreys M. A. (2002). Adaptive thermal comfort and sustainable thermal standards for buildings. Energy and buildings 34(6) 563-572.Pereira L. D. Raimondo D. Corgnati S. P. & da Silva M. G. (2014). Assessment of indoor air quality and thermal comfort in Portuguese secondary classrooms: Methodology and results. Building and Environment 81 69-80.Peters R.S. ed. (1973). The philosophy of education (p. 238). R. S. Peters (Ed.). Oxford: Oxford University Press.Puustinen M. & Rouet J. F. (2009). Learning with new technologies: Help seeking and information searching revisited. Computers & Education 53(4) 1014-1019.Qudrat-Ullah H. (2010). Perceptions of the effectiveness of system dynamics-based interactive learning environments: An empirical study. Computers & Education 55(3) 1277-1286.Schiavon S. Hoyt T. & Piccioli A. (2014). Web application for thermal comfort visualization and calculation according to ASHRAE Standard 55. In Building Simulation (Vol. 7 No. 4 pp. 321-334). Tsinghua University Press.Su X. Yuan Y. Wang Z. Liu W. Lan L. & Lian Z. (2023). Human thermal comfort in non-uniform thermal environments: A review. Energy and Built Environment 5(6) 853-862.Tang T. L. P. & Austin M. J. (2009). Students’ perceptions of teaching technologies application of technologies and academic performance. Computers & Education 53(4) 1241-1255.Tartarini F. Schiavon S. Cheung T. & Hoyt T. (2020). CBE Thermal Comfort Tool: Online tool for thermal comfort calculations and visualizations. SoftwareX 12 100563.ThermoWorks. (2019). Access Address (13.07.2024): https://www.thermoworks.com/emissivity-tableUzun R. & Pakdamar F. (2023). Enriching Empirical Thermal Comfort Assessment Methods with Fuzzy Logic. Journal of Architectural Sciences and Applications 8(2) 655-670.Venticool. eu. (2022). The CBE Thermal Comfort Tool2. Access Address (26.03.2024): https://venticool.eu/the- cbe-thermal-comfort-tool/Yaman M. Nerdel C. & Bayrhuber H. (2008). The effects of instructional support and learner interests when learning using computer simulations. Computers & Education 51(4) 1784-1794.
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Mimarlık Bilimleri ve Uygulamaları Dergisi (MBUD)
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9
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1
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585
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601
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