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The Use of Artificial Intelligence Applications as Alternative Tools in Chemistry Education

Year 2024, Volume: 9 Issue: 1, 1 - 28, 31.03.2024

Büşra Buluş Rıdvan Elmas

https://doi.org/10.37995/jotcsc.1366999

Abstract

This research aims to ascertain the potential applications of artificial intelligence (AI) within chemistry education and outline how existing applications can be effectively utilized in this domain, accompanied by illustrative examples. This study adopts a review approach. Within its framework, AI applications applicable to chemistry education have been delineated. Articles on artificial intelligence were sourced from databases, while AI applications employed in educational settings were scrutinized via document analysis. Furthermore, products explicitly tailored for chemistry education were incorporated into the study through content analysis. The aim is to facilitate educators and learners in the accurate and efficient utilization of educational technologies, which hold significance within the context of 21st century skills, thereby enhancing digital literacy capabilities. Instances showcasing the utilization of identified AI applications in chemistry education have been compiled. This research is anticipated to be a guiding resource for educators and students alike, elucidating how AI applications can be effectively integrated into chemistry education.

Keywords

Artificial intelligence (AI) chemistry education AI applications

References

  • Adedoyin, O. B., & Soykan, E. (2023). Covid-19 pandemic and online learning: The challenges and opportunities. Interactive Learning Environments, 31(2), 863-875. https://doi.org/10.1080/10494820.2020.1813180
  • Aleks. (2023). ALEKS – Adaptive Learning & Assessment for Math, Chemistry, Statistics & More. McGraw Hill ALEKS. https://www.aleks.com
  • Alfaisal, R., Hashim, H., & Azizan, U. H. (2022). Metaverse system adoption in education: A systematic literature review. Journal of Computers in Education. https://doi.org/10.1007/s40692-022-00256-6
  • Ball, P. (2023). What does AI mean for chemistry? Chemistry World. https://www.chemistryworld.com/features/what-does-ai-mean-for-chemistry/4016813.article
  • Carnegie (2023). The National Institute 2023: Empowering Educators. Blog | Carnegie Learning. https://www.carnegielearning.com/blog/the-national-institute-2023/
  • Century (2023). Century | Online Learning | English, Maths and Science. CENTURY. https://www.century.tech/
  • ChatGPT (2023). What is Open AI? [dataset]. https://chat.openai.com/?
  • Chavez, H., Chavez-Arias, B., Contreras-Rosas, S., Alvarez-Rodríguez, J. M., & Raymundo, C. (2023). Artificial neural network model to predict student performance using nonpersonal information. Frontiers in Education, 8, 1106679. https://doi.org/10.3389/feduc.2023.1106679
  • Cheung, S. K. S., Kwok, L. F., Phusavat, K., & Yang, H. H. (2021). Shaping the future learning environments with smart elements: Challenges and opportunities. International Journal of Educational Technology in Higher Education, 18(1), 16, s41239-021-00254-1. https://doi.org/10.1186/s41239-021-00254-1
  • Clark, T. M., Anderson, E., Dickson-Karn, N. M., Soltanirad, C., & Tafini, N. (2023). Comparing the Performance of College Chemistry Students with ChatGPT for Calculations Involving Acids and Bases. Journal of Chemical Education, 100(10), 3934-3944. https://doi.org/10.1021/acs.jchemed.3c00500
  • CogBooks. (2023). Online learning Archives. CogBooks. https://www.cogbooks.com/tag/online-learning/
  • Cognii. (2023). Cognii—Artificial Intelligence for Education and Training. https://www.cognii.com/
  • Cooper, G. (2023). Examining Science Education in ChatGPT: An Exploratory Study of Generative Artificial Intelligence. Journal of Science Education and Technology, 32(3), 444-452. https://doi.org/10.1007/s10956-023-10039-y
  • Desmarais, M. C., & Baker, R. S. J. D. (2012). A review of recent advances in learner and skill modeling in intelligent learning environments. User Modeling and User-Adapted Interaction, 22(1-2), 9-38. https://doi.org/10.1007/s11257-011-9106-8
  • Dick, S. (2019). Artificial Intelligence. Harvard Data Science Review. https://doi.org/10.1162/99608f92.92fe150c
  • Elmas, R., Akın, F. N., & Geban, Ö. (2013). Ask a Scientist Website: Trends in Chemistry Questions in Turkey. The Asia-Pacific Education Researcher, 22(4), 559-569. https://doi.org/10.1007/s40299-013-0058-0
  • Elmas, R., & Geban, Ö. (2012). Web 2.0 Tools for 21st Century Teachers. International Online Journal of Educational Sciences, 4, 243-254.
  • Fergus, S., Botha, M., & Ostovar, M. (2023). Evaluating Academic Answers Generated Using ChatGPT. Journal of Chemical Education, 100(4), 1672-1675. https://doi.org/10.1021/acs.jchemed.3c00087
  • Gawlik-Kobylińska, M., Walkowiak, W., & Maciejewski, P. (2020). Improvement of a Sustainable World through the Application of Innovative Didactic Tools in Green Chemistry Teaching: A Review. Journal of Chemical Education, 97(4), 916-924. https://doi.org/10.1021/acs.jchemed.9b01038
  • Gradescope. (2023). Deliver and Grade Your Assessments Anywhere. Deliver and Grade Your Assessments Anywhere. https://www.gradescope.com/
  • Hsu, C.-K., Hwang, G.-J., & Chang, C.-K. (2010). Development of a reading material recommendation system based on a knowledge engineering approach. Computers & Education, 55(1), 76-83. https://doi.org/10.1016/j.compedu.2009.12.004
  • Humphry, T., & Fuller, A. L. (2023). Potential ChatGPT Use in Undergraduate Chemistry Laboratories. Journal of Chemical Education, 100(4), 1434-1436. https://doi.org/10.1021/acs.jchemed.3c00006
  • Ivy. (2023). Generative chatbots for higher education, healthcare and government. https://ivy.ai/
  • Kabudi, T., Pappas, I., & Olsen, D. H. (2021). AI-enabled adaptive learning systems: A systematic mapping of the literature. Computers and Education: Artificial Intelligence, 2, 100017. https://doi.org/10.1016/j.caeai.2021.100017
  • Karaçam, Z. (2013). Sistematik Derleme Metodolojisi: Sistematik Derleme Hazırlamak İçin Bir Rehber. Dokuz Eylül Üniversitesi Hemşirelik Fakültesi Elektronik Dergisi, 6(1), 26-33.
  • Khlaif, Z. N., Salha, S., & Kouraichi, B. (2021). Emergency remote learning during COVID-19 crisis: Students’ engagement. Education and Information Technologies, 26(6), 7033-7055. https://doi.org/10.1007/s10639-021-10566-4
  • Knewton (2023). Setup Tutorial Videos for Knewton Alta. https://support.knewton.com/s/article/Setup-Tutorial-Videos-for-Knewton-Alta
  • Knowji (2023). Knowji—Where fun cartoon characters bring words to life. Knowji. http://www.knowji.com/
  • Kolchenko, V. (2018). Can Modern AI replace teachers? Not so fast! Artificial Intelligence and Adaptive Learning: Personalized Education in the AI age. HAPS Educator, 22(3), 249-252. https://doi.org/10.21692/haps.2018.032
  • Lawrie, G. (2023). Establishing a delicate balance in the relationship between artificial intelligence and authentic assessment in student learning. Chemistry Education Research and Practice, 24(2), 392-393. https://doi.org/10.1039/D3RP90003G
  • Leon, A. J., & Vidhani, D. (2023). ChatGPT Needs a Chemistry Tutor Too. Journal of Chemical Education, 100(10), 3859-3865. https://doi.org/10.1021/acs.jchemed.3c00288
  • Lolinco, A. T., & Holme, T. A. (2023). Developing a Curated Chatbot as an Exploratory Communication Tool for Chemistry Learning. Journal of Chemical Education, 100(10), 4092-4098. https://doi.org/10.1021/acs.jchemed.3c00520
  • Martin, P. P., & Graulich, N. (2023). When a machine detects student reasoning: A review of machine learning-based formative assessment of mechanistic reasoning. Chemistry Education Research and Practice, 24(2), 407-427. https://doi.org/10.1039/D2RP00287F
  • Mbunge, E. (2020). Integrating emerging technologies into COVID-19 contact tracing: Opportunities, challenges and pitfalls. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14(6), 1631-1636. https://doi.org/10.1016/j.dsx.2020.08.029
  • McFarland, A. (2024). 10 Best AI Tools for Education. https://www.unite.ai/10-best-ai-tools-for-education/
  • MEB (2023). T.C. Millî Eğitim Bakanlığı Talim Terbiye Kurulu Başkanlığı Kimya Öğretim Programı. https://mufredat.meb.gov.tr/ProgramDetay.aspx?PID=350
  • Mohamad Noor, N. (2023). The Impact of Educational Technology on Distance Learning in The Era of Post-Covid-19. International Journal on E-Learning Practices (IJELP), 6(1). https://doi.org/10.51200/ijelp.v6i1.4301
  • Nuance (2023). Dragon Professional Anywhere Speech Recognition Solution. Nuance Communications. https://www.nuance.com/index.html
  • OECD (2019). OECD Future of Education and Skills 2030 (Conceptual learning framework). Organization for Economic Co-operation and Development. [https://www.oecd.org/education/2030-project/teaching-and-learning/learning/learning-compass 2030/OECD_Learning_Compass_2030_concept_note.pdf] Okonkwo, C. W., & Ade-Ibijola, A. (2021). Chatbots applications in education: A systematic review. Computers and Education: Artificial Intelligence, 2, 100033. https://doi.org/10.1016/j.caeai.2021.100033
  • Ouyang, F., Wu, M., Zheng, L., Zhang, L., & Jiao, P. (2023). Integration of artificial intelligence performance prediction and learning analytics to improve student learning in online engineering course. International Journal of Educational Technology in Higher Education, 20(1), 4. https://doi.org/10.1186/s41239-022-00372-4
  • Özer, A. & Görgülü, Z. (2021). Bir Bilimsel Derlemenin Planlanması ve Yazımı. Erzincan Üniversitesi Eğitim Fakültesi Dergisi, 23(3), 698-713. https://doi.org/10.17556/erziefd.819971
  • Querium (2023). Master Critical STEM Skills. Querium. https://www.querium.com/
  • Rahman, Md. M., & Watanobe, Y. (2023). ChatGPT for Education and Research: Opportunities, Threats, and Strategies [Preprint]. Social Sciences. https://doi.org/10.20944/preprints202303.0473.v1
  • Sabharwal, A., & Selman, B. (2011). Book review. Artificial Intelligence, 175(5-6), 935-937. https://doi.org/10.1016/j.artint.2011.01.005
  • Santosa, E. B., Degeng, I., Sulton, S., & Kuswandi̇, D. (2020). The Effects of Mobile Computer Supported Collaborative Learning to Improve Problem Solving and Achievements. Journal for the Education of Gifted Young Scientists, 8(1), 325-342. https://doi.org/10.17478/jegys.656642
  • Selvaraj, A., Radhin, V., Ka, N., Benson, N., & Mathew, A. J. (2021). Effect of pandemic based online education on teaching and learning system. International Journal of Educational Development, 85, 102444. https://doi.org/10.1016/j.ijedudev.2021.102444
  • Shute, V. J. (2008). Focus on Formative Feedback. Review of Educational Research, 78(1), 153-189. https://doi.org/10.3102/0034654307313795
  • Sparrow(2023). Our Learning Design Platform | Smart Sparrow. https://www.smartsparrow.com/platform/
  • Taasoobshirazi, G., & Carr, M. (2008). A review and critique of context-based physics instruction and assessment. Educational Research Review, 3(2), 155-167. https://doi.org/10.1016/j.edurev.2008.01.002
  • Taebnia, V., & Taqavi, M. (2020). The enhanced human vs. The virtuous human: A post-phenomenological perspective. Ai & Society, 36(3), 1057-1068. https://doi.org/10.1007/s00146-020-01082-z
  • Talanquer, V. (2023). Interview with the Chatbot: How Does It Reason? Journal of Chemical Education, 100(8), 2821-2824. https://doi.org/10.1021/acs.jchemed.3c00472
  • Tyson, J. (2023). Shortcomings of ChatGPT. Journal of Chemical Education, 100(8), 3098-3101. https://doi.org/10.1021/acs.jchemed.3c00361
  • Unreal Engine. (2023). Abandoned Chemistry Classroom + ULAT Classroom / Chemistry / Abandoned. Unreal Engine. https://www.unrealengine.com/en-US/students
  • Wardat, Y., Tashtoush, M. A., AlAli, R., & Jarrah, A. M. (2023). ChatGPT: A revolutionary tool for teaching and learning mathematics. Eurasia Journal of Mathematics, Science and Technology Education, 19(7), em2286. https://doi.org/10.29333/ejmste/13272
  • West, J. K., Franz, J. L., Hein, S. M., Leverentz-Culp, H. R., Mauser, J. F., Ruff, E. F., & Zemke, J. M. (2023). An Analysis of AI-Generated Laboratory Reports across the Chemistry Curriculum and Student Perceptions of ChatGPT. Journal of Chemical Education, 100(11), 4351-4359. https://doi.org/10.1021/acs.jchemed.3c00581
  • Yik, B. J., Dood, A. J., Cruz-Ramírez De Arellano, D., Fields, K. B., & Raker, J. R. (2021). Development of a machine learning-based tool to evaluate correct Lewis acid–base model use in written responses to open-ended formative assessment items. Chemistry Education Research and Practice, 22(4), 866-885. https://doi.org/10.1039/D1RP00111F

Yapay Zeka Uygulamalarının Kimya Eğitiminde Kullanımı Alternatif Araçlar

Year 2024, Volume: 9 Issue: 1, 1 - 28, 31.03.2024

Büşra Buluş Rıdvan Elmas

https://doi.org/10.37995/jotcsc.1366999

Abstract

Bu çalışmanın amacı, yapay zekâ (AI) uygulamalarının kimya eğitiminde kullanım alanlarını ve bu alanda var olan uygulamaların örnekler ile kimya eğitiminde nasıl kullanılabileceğini belirlemektir. Çalışma bir alan taraması ve derleme çalışmasıdır. Bu çalışma kapsamında kimya eğitimi alanında kullanılabilecek yapay zekâ uygulamaları belirlenmiştir. Yapay zekâ ile ilgili makaleler veri tabanlarından bulunmuş, eğitimde kullanılan yapay zekâ uygulamaları doküman analizi yöntemi ile incelenmiş ve özellikle kimya eğitiminde kullanılmak üzere geliştirilmiş olan ürünler içerik analizi ile bu çalışma kapsamına alınmıştır. Öğretmenlerimizin ve öğrencilerimizin, 21. yüzyıl becerileri bağlamında önem arz eden eğitim teknolojilerinin doğru ve etkili kullanımı ve dijital okuryazarlık becerilerinin geliştirilmesine destek olunması hedeflenmiştir. Belirlenen yapay zekâ uygulamalarının kimya eğitiminde kullanımına dönük örnekler hazırlanmıştır. Çalışmanın, öğretmen ve öğrencilerin yapay zekâ uygulamaları ve kimya eğitiminde bu uygulamaların nasıl kullanılacağı konusunda yol gösterici bir rolü olacağı düşünülmektedir.

Keywords

Yapay zekâ (AI) kimya eğitimi yapay zekâ uygulamaları.

References

  • Adedoyin, O. B., & Soykan, E. (2023). Covid-19 pandemic and online learning: The challenges and opportunities. Interactive Learning Environments, 31(2), 863-875. https://doi.org/10.1080/10494820.2020.1813180
  • Aleks. (2023). ALEKS – Adaptive Learning & Assessment for Math, Chemistry, Statistics & More. McGraw Hill ALEKS. https://www.aleks.com
  • Alfaisal, R., Hashim, H., & Azizan, U. H. (2022). Metaverse system adoption in education: A systematic literature review. Journal of Computers in Education. https://doi.org/10.1007/s40692-022-00256-6
  • Ball, P. (2023). What does AI mean for chemistry? Chemistry World. https://www.chemistryworld.com/features/what-does-ai-mean-for-chemistry/4016813.article
  • Carnegie (2023). The National Institute 2023: Empowering Educators. Blog | Carnegie Learning. https://www.carnegielearning.com/blog/the-national-institute-2023/
  • Century (2023). Century | Online Learning | English, Maths and Science. CENTURY. https://www.century.tech/
  • ChatGPT (2023). What is Open AI? [dataset]. https://chat.openai.com/?
  • Chavez, H., Chavez-Arias, B., Contreras-Rosas, S., Alvarez-Rodríguez, J. M., & Raymundo, C. (2023). Artificial neural network model to predict student performance using nonpersonal information. Frontiers in Education, 8, 1106679. https://doi.org/10.3389/feduc.2023.1106679
  • Cheung, S. K. S., Kwok, L. F., Phusavat, K., & Yang, H. H. (2021). Shaping the future learning environments with smart elements: Challenges and opportunities. International Journal of Educational Technology in Higher Education, 18(1), 16, s41239-021-00254-1. https://doi.org/10.1186/s41239-021-00254-1
  • Clark, T. M., Anderson, E., Dickson-Karn, N. M., Soltanirad, C., & Tafini, N. (2023). Comparing the Performance of College Chemistry Students with ChatGPT for Calculations Involving Acids and Bases. Journal of Chemical Education, 100(10), 3934-3944. https://doi.org/10.1021/acs.jchemed.3c00500
  • CogBooks. (2023). Online learning Archives. CogBooks. https://www.cogbooks.com/tag/online-learning/
  • Cognii. (2023). Cognii—Artificial Intelligence for Education and Training. https://www.cognii.com/
  • Cooper, G. (2023). Examining Science Education in ChatGPT: An Exploratory Study of Generative Artificial Intelligence. Journal of Science Education and Technology, 32(3), 444-452. https://doi.org/10.1007/s10956-023-10039-y
  • Desmarais, M. C., & Baker, R. S. J. D. (2012). A review of recent advances in learner and skill modeling in intelligent learning environments. User Modeling and User-Adapted Interaction, 22(1-2), 9-38. https://doi.org/10.1007/s11257-011-9106-8
  • Dick, S. (2019). Artificial Intelligence. Harvard Data Science Review. https://doi.org/10.1162/99608f92.92fe150c
  • Elmas, R., Akın, F. N., & Geban, Ö. (2013). Ask a Scientist Website: Trends in Chemistry Questions in Turkey. The Asia-Pacific Education Researcher, 22(4), 559-569. https://doi.org/10.1007/s40299-013-0058-0
  • Elmas, R., & Geban, Ö. (2012). Web 2.0 Tools for 21st Century Teachers. International Online Journal of Educational Sciences, 4, 243-254.
  • Fergus, S., Botha, M., & Ostovar, M. (2023). Evaluating Academic Answers Generated Using ChatGPT. Journal of Chemical Education, 100(4), 1672-1675. https://doi.org/10.1021/acs.jchemed.3c00087
  • Gawlik-Kobylińska, M., Walkowiak, W., & Maciejewski, P. (2020). Improvement of a Sustainable World through the Application of Innovative Didactic Tools in Green Chemistry Teaching: A Review. Journal of Chemical Education, 97(4), 916-924. https://doi.org/10.1021/acs.jchemed.9b01038
  • Gradescope. (2023). Deliver and Grade Your Assessments Anywhere. Deliver and Grade Your Assessments Anywhere. https://www.gradescope.com/
  • Hsu, C.-K., Hwang, G.-J., & Chang, C.-K. (2010). Development of a reading material recommendation system based on a knowledge engineering approach. Computers & Education, 55(1), 76-83. https://doi.org/10.1016/j.compedu.2009.12.004
  • Humphry, T., & Fuller, A. L. (2023). Potential ChatGPT Use in Undergraduate Chemistry Laboratories. Journal of Chemical Education, 100(4), 1434-1436. https://doi.org/10.1021/acs.jchemed.3c00006
  • Ivy. (2023). Generative chatbots for higher education, healthcare and government. https://ivy.ai/
  • Kabudi, T., Pappas, I., & Olsen, D. H. (2021). AI-enabled adaptive learning systems: A systematic mapping of the literature. Computers and Education: Artificial Intelligence, 2, 100017. https://doi.org/10.1016/j.caeai.2021.100017
  • Karaçam, Z. (2013). Sistematik Derleme Metodolojisi: Sistematik Derleme Hazırlamak İçin Bir Rehber. Dokuz Eylül Üniversitesi Hemşirelik Fakültesi Elektronik Dergisi, 6(1), 26-33.
  • Khlaif, Z. N., Salha, S., & Kouraichi, B. (2021). Emergency remote learning during COVID-19 crisis: Students’ engagement. Education and Information Technologies, 26(6), 7033-7055. https://doi.org/10.1007/s10639-021-10566-4
  • Knewton (2023). Setup Tutorial Videos for Knewton Alta. https://support.knewton.com/s/article/Setup-Tutorial-Videos-for-Knewton-Alta
  • Knowji (2023). Knowji—Where fun cartoon characters bring words to life. Knowji. http://www.knowji.com/
  • Kolchenko, V. (2018). Can Modern AI replace teachers? Not so fast! Artificial Intelligence and Adaptive Learning: Personalized Education in the AI age. HAPS Educator, 22(3), 249-252. https://doi.org/10.21692/haps.2018.032
  • Lawrie, G. (2023). Establishing a delicate balance in the relationship between artificial intelligence and authentic assessment in student learning. Chemistry Education Research and Practice, 24(2), 392-393. https://doi.org/10.1039/D3RP90003G
  • Leon, A. J., & Vidhani, D. (2023). ChatGPT Needs a Chemistry Tutor Too. Journal of Chemical Education, 100(10), 3859-3865. https://doi.org/10.1021/acs.jchemed.3c00288
  • Lolinco, A. T., & Holme, T. A. (2023). Developing a Curated Chatbot as an Exploratory Communication Tool for Chemistry Learning. Journal of Chemical Education, 100(10), 4092-4098. https://doi.org/10.1021/acs.jchemed.3c00520
  • Martin, P. P., & Graulich, N. (2023). When a machine detects student reasoning: A review of machine learning-based formative assessment of mechanistic reasoning. Chemistry Education Research and Practice, 24(2), 407-427. https://doi.org/10.1039/D2RP00287F
  • Mbunge, E. (2020). Integrating emerging technologies into COVID-19 contact tracing: Opportunities, challenges and pitfalls. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14(6), 1631-1636. https://doi.org/10.1016/j.dsx.2020.08.029
  • McFarland, A. (2024). 10 Best AI Tools for Education. https://www.unite.ai/10-best-ai-tools-for-education/
  • MEB (2023). T.C. Millî Eğitim Bakanlığı Talim Terbiye Kurulu Başkanlığı Kimya Öğretim Programı. https://mufredat.meb.gov.tr/ProgramDetay.aspx?PID=350
  • Mohamad Noor, N. (2023). The Impact of Educational Technology on Distance Learning in The Era of Post-Covid-19. International Journal on E-Learning Practices (IJELP), 6(1). https://doi.org/10.51200/ijelp.v6i1.4301
  • Nuance (2023). Dragon Professional Anywhere Speech Recognition Solution. Nuance Communications. https://www.nuance.com/index.html
  • OECD (2019). OECD Future of Education and Skills 2030 (Conceptual learning framework). Organization for Economic Co-operation and Development. [https://www.oecd.org/education/2030-project/teaching-and-learning/learning/learning-compass 2030/OECD_Learning_Compass_2030_concept_note.pdf] Okonkwo, C. W., & Ade-Ibijola, A. (2021). Chatbots applications in education: A systematic review. Computers and Education: Artificial Intelligence, 2, 100033. https://doi.org/10.1016/j.caeai.2021.100033
  • Ouyang, F., Wu, M., Zheng, L., Zhang, L., & Jiao, P. (2023). Integration of artificial intelligence performance prediction and learning analytics to improve student learning in online engineering course. International Journal of Educational Technology in Higher Education, 20(1), 4. https://doi.org/10.1186/s41239-022-00372-4
  • Özer, A. & Görgülü, Z. (2021). Bir Bilimsel Derlemenin Planlanması ve Yazımı. Erzincan Üniversitesi Eğitim Fakültesi Dergisi, 23(3), 698-713. https://doi.org/10.17556/erziefd.819971
  • Querium (2023). Master Critical STEM Skills. Querium. https://www.querium.com/
  • Rahman, Md. M., & Watanobe, Y. (2023). ChatGPT for Education and Research: Opportunities, Threats, and Strategies [Preprint]. Social Sciences. https://doi.org/10.20944/preprints202303.0473.v1
  • Sabharwal, A., & Selman, B. (2011). Book review. Artificial Intelligence, 175(5-6), 935-937. https://doi.org/10.1016/j.artint.2011.01.005
  • Santosa, E. B., Degeng, I., Sulton, S., & Kuswandi̇, D. (2020). The Effects of Mobile Computer Supported Collaborative Learning to Improve Problem Solving and Achievements. Journal for the Education of Gifted Young Scientists, 8(1), 325-342. https://doi.org/10.17478/jegys.656642
  • Selvaraj, A., Radhin, V., Ka, N., Benson, N., & Mathew, A. J. (2021). Effect of pandemic based online education on teaching and learning system. International Journal of Educational Development, 85, 102444. https://doi.org/10.1016/j.ijedudev.2021.102444
  • Shute, V. J. (2008). Focus on Formative Feedback. Review of Educational Research, 78(1), 153-189. https://doi.org/10.3102/0034654307313795
  • Sparrow(2023). Our Learning Design Platform | Smart Sparrow. https://www.smartsparrow.com/platform/
  • Taasoobshirazi, G., & Carr, M. (2008). A review and critique of context-based physics instruction and assessment. Educational Research Review, 3(2), 155-167. https://doi.org/10.1016/j.edurev.2008.01.002
  • Taebnia, V., & Taqavi, M. (2020). The enhanced human vs. The virtuous human: A post-phenomenological perspective. Ai & Society, 36(3), 1057-1068. https://doi.org/10.1007/s00146-020-01082-z
  • Talanquer, V. (2023). Interview with the Chatbot: How Does It Reason? Journal of Chemical Education, 100(8), 2821-2824. https://doi.org/10.1021/acs.jchemed.3c00472
  • Tyson, J. (2023). Shortcomings of ChatGPT. Journal of Chemical Education, 100(8), 3098-3101. https://doi.org/10.1021/acs.jchemed.3c00361
  • Unreal Engine. (2023). Abandoned Chemistry Classroom + ULAT Classroom / Chemistry / Abandoned. Unreal Engine. https://www.unrealengine.com/en-US/students
  • Wardat, Y., Tashtoush, M. A., AlAli, R., & Jarrah, A. M. (2023). ChatGPT: A revolutionary tool for teaching and learning mathematics. Eurasia Journal of Mathematics, Science and Technology Education, 19(7), em2286. https://doi.org/10.29333/ejmste/13272
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There are 56 citations in total.

Details

Primary Language Turkish
Subjects Chemistry Education
Journal Section Review Articles
Authors

Büşra Buluş 0000-0002-4013-3532

Rıdvan Elmas 0000-0001-7769-2525

Publication Date March 31, 2024
Submission Date October 8, 2023
Acceptance Date March 24, 2024
Published in Issue Year 2024 Volume: 9 Issue: 1

Cite

APA Buluş, B., & Elmas, R. (2024). Yapay Zeka Uygulamalarının Kimya Eğitiminde Kullanımı Alternatif Araçlar. Turkiye Kimya Dernegi Dergisi Kısım C: Kimya Egitimi, 9(1), 1-28. https://doi.org/10.37995/jotcsc.1366999
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