تجزیه و تحلیل تولیدات علمی در حوزه تلفیق فناوری واقعیت افزوده در آموزش
محورهای موضوعی :
پژوهش در برنامه ریزی درسی
ژابیز گلزار مقدم
1
(دانشجو دکتری رشته برنامه ریزی درسی، دانشگاه خوارزمی، تهران، ایران)
مرجان کیان
2
(دانشیار گروه مطالعات برنامه درسی، دانشگاه خوارزمی، تهران، ایران)
مسعود گرامی پور
3
(دانشیار رشته سنجش و اندازه گیری، دانشگاه خوارزمی، تهران، ایران)
یوسف مهدوی نسب
4
(استادیار گروه تکنولوژی آموزشی دانشگاه خوارزمی، تهران، ایران)
تاریخ دریافت : 1399/10/22
تاریخ پذیرش : 1400/05/19
تاریخ انتشار : 1400/09/01
کلید واژه:
علم‌سنجی,
تولیدات علمی,
مصورسازی داده ها,
آموزش,
واقعیت افزوده,
چکیده مقاله :
هدف این پژوهش بررسی وضعیت تولیدات علمی در حوزه تلفیق فناوری واقعیت افزوده در آموزش است. پژوهش حاضر از نوع کاربردی و علم‌سنجی است و در انجام آن از تکنیک‌های کتاب‌سنجی و تحلیل شبکه‌های اجتماعی استفاده‌شده است. بر این اساس برای جمع‌آوری داده‌ها، کلیدواژه‌های مرتبط با پژوهش در فاصله بین سال‌های 2010 تا 2020 با استفاده از پایگاه اطلاعاتی Scopus جستجو و شناسایی شدند. به‌منظور تحلیل داده‌ها و مصورسازی اطلاعات به‌دست‌آمده، از نرم‌افزار Vosviewer استفاده‌شده است. جامعه آماری پژوهش حاضر 582 سند در حوزه موردبحث می‌باشد. تحلیل‌ها شامل: فراوانی انتشار پژوهش‌های مرتبط، کشورهای دارای بیشترین اسناد مرتبط، مراکز علمی دارای بیشترین پژوهش‌های مرتبط، پرکارترین نویسندگان در این حوزه، خوشه‌بندی ارتباطی کلیدواژه‌ها و ترسیم شبکه همکاری نویسندگان در حوزه مربوطه می باشد. نتایج بررسی‌ها نشان می‌دهد که فراوانی انتشار منابع مرتبط با آموزش مبتنی بر فناوری واقعیت افزوده کماکان سیر صعودی دارد؛ اما در بین کشورهایی که دارای بیشترین پژوهش‌های مرتبط هستند کشور آمریکا در جایگاه اول و اسپانیا و اندوزی در جایگاه دوم و سوم قرار دارند. بیشترین اسناد چاپ‌شده، مقالات هستند و حوزه پرکار در این رابطه حوضه علوم اجتماعی است. کلیدواژه‌های مرتبط با موضوع در 6 خوشه موضوعی قرار می‌گیرند و واژه‌هایی که در خوشه اصلی بیشترین پیوند را به خود اختصاص داده‌اند، عبارت‌اند از واقعیت افزوده، یادگیری، دانش‌آموز، معلم، برنامه‌ریزی درسی و تعامل.
چکیده انگلیسی:
The purpose of this study is to investigate the status of scientific production in the field of augmented reality technology in education. The present study is of applied and scientometric type and in doing it, bibliometric and social network analysis techniques have been used. Accordingly, for data collection, research-related keywords were searched and identified between 2010 and 2020 using the Scopus database. Vosviewer software was used to analyze the data and visualize the obtained information.The statistical population of the present study is 582 documents in the relevant field. Analyzes include: frequency of publication of relevant research, countries with the most relevant documents, scientific centers with the most relevant research, most prolific authors in this field, communication clustering of keywords and drawing a network of cooperation of authors in the relevant field. The results of the studies show that the frequency of publication of related sources is still increasing; among the countries with the most related research, the United States is in first place and Spain and Indonesia in second and third place. Most printed documents are articles and the busiest field in this regard is social sciences. These keywords are placed in 6 thematic clusters. The most relevant words in the main cluster are augmented reality, learning, student, teacher, curriculum planning, and interaction.
منابع و مأخذ:
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Bakhshipour, M., & Khaleghi, A. (2015). Study of communication technologies for cooperation in augmented reality systems, National Conference on Technology. Energy and data with electrical and computer engineering approach. Kermanshah.
Borner, K., Chen, C., & Boyack, K. W. (2003). Visualizing knowledge domains. Annual Review of Information Science and Technology, 37(1), 179‑
Boyack, K., Borner, K., & Klavans, R. (2009). Mapping the structure and evolution of chemistry research. Scientometrics, 79, 45-60.
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Fahimifar, S., & Talaei, E. (2016). Drawing the thematic map of e-book articles in the Obsco database. Journal of National Library and Information Studies Studies, 27 (2).
Farrukh, M., Meng, F., Raza, A., & Tahir, M. S. (2020). Twenty‐seven years of Sustainable Development Journal: A bibliometric analysis. Sustainable Development, 28(6), 1725-1737.
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Horst, R., Fenchel, D., Retz, R., Rau, L., Retz, W., & Dörner, R. (2020). Integration of Game Engine Based Mobile Augmented Reality Into a Learning Management System for Online Continuing Medical Education.
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Khasseh, A. A., Soosaraei, M., & Fakhar, M. (2016). Cluster Analysis and Mapping of Iranian Researchers in the Field of Parasitology: With an Emphasis on the Co-authoreship Indicators and H Index. Iranian Journal of Medical Microbiology, 10(2), 63-74.
Liang, C., Start, C., Boley, H., Kamat, V., Menassa, C., & Aebersold, M. (2020). Enhancing stroke assessment simulation experience in clinical training using augmented reality. Virtual Reality, 1-10
Makizadeh, F., & Ebrahimi, V. (2018). Drawing a scientific map of the subject area of risk management in the Iranian Science Citation Index (ISC) database. Journal of Crisis Management, 6 (2), 105-117.
Martinez-Lopez, F. J., J. M. Merigó, L. Valenzuela-Fernández, and C. Nicolás. (2018). “Fifty Years of the European Journal of Marketing: A Bibliometric Analysis.” European Journal of Marketing 52 (1/2): 439–468.
Mehdizadeh Maraghi R, Nazari M, Minaii M. (2014). Mapping science of Massage therapy during 2008-2013 in the Scopus database.
Mohammadalipour, N., & Doroudi, F. (2011). Information clustering. Journal of National Library and Information Studies Studies, 21 (2), 160-185.
Moral-Muñoz, José A.; Herrera-Viedma, Enrique; Santisteban-Espejo, Antonio; Cobo, Manuel J. (2020). “Software tools for conducting bibliometric analysis in science: An up-to-date review”. El profesional de la información,
Nawaz, K., T. Aslam, and H. A. Saeed. (2020). “A Bibliometric Analysis of International Journal of Sports Marketing & Sponsorship.” International Journal of Business and Psychology 2 (1): 45–60.
Nawaz, K., H. A. Saeed, and T. A. Sajeel. (2020). “Covid-19 and the State of Research from the Perspective of Psychology.” International Journal of Business and Psychology 2 (1): 35–44.
Neff, M., & Corley, E.A. (2008). 35 years and 160,000 articles: A bibliometric exploration of the evolution of ecology. Scientometrics, 80, 657-682.
Noroozichakoli, A. (2018). Familiarity with scientometrics: (basics, concepts, relationships and roots), SAMT.
Noyons, E.C. (1999). Bibliometric mapping as a science policy and research management tool.
Nurannisa, A.M., & Asfar, A.M. (2020). Learning Design Based on Local Wisdom Maddawa-dawa, Mammanu-manu and Mappettuada.
Rafiei Khezri, S. (2008). Communication, language planning and knowledge and technology transfer. Academy Letter, 137-149.
Sedighi, M. (2015). Using co-word analysis method in mapping of the structure of scientific fields (case study: The field of informetrics).
Senel E. (2019). Health and Ancient Beliefs: A Scientometric Analysis of Health Literature Related to Shamanism, Paganism and Spirituality. Journal of Religion and Health, 58: 1-17.
Sengupta, I. N. (1988). Three new bibliometric parameters and physiology periodicals.
Shafiullah, Y., Khaparde, V., & Alhamdi, F.A. (2015). The Electronic Library Journal: A bibliometric study (2010 to 2014).
Shekofteh M., & Hariri N. (2013). Scientific Mapping of Medicine in Iran Using Subject Category Co-Citation and Social Network Analysis. 16 (51) :43-59.
Sirakaya, M. (2018). The effect of augmented reality use in science education on attitude and motivation. Kastamonu Education Journal, 26(3), 886-89
Small, H. (1999). Visualizing science by citation mapping. Journal of the Association for Information Science and Technology, 50, 799-813.
Soheili, F., Osareh, F. (2013). Concepts of Centrality and Density in Scientific and Social Networks. National Studies on Librarianship and Information Organization, 24(3), 92-108.
Tijssen, R.J.W(1993). A scientometric cognitive study of neural network research: expert mental maps versus bibliometri map. Scientometrics, 28(1), 111-13.
Tupan, T., & Rachmawati, R. (2018). Analisis Bibliometrik Ilmu dan Teknologi Pangan: Publikasi Ilmiah dI Negara-Negara ASEAN. Khizanah al-Hikmah: Jurnal Ilmu Perpustakaan, Informasi, dan Kearsipan, 6(1), 26-40.
Van den Besselaar, P., & Heimeriks, G. (2006). Mapping research topics using word-reference co-occurrences: A method and an exploratory case study. Scientometrics, 68(3), 377-393.
Van Eck, N. J., & Waltman, L. (2014). Visualizing Bibliometric Networks. Dans Y. Ding, R. Rousseau, & D. Wolfram (Éds), Measuring Scholarly Impact: Methods and Practice (pp. 285‑320). Cham: Springer International Publishin.
Van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523‑
Van Eck, N. J., & Waltman, L. (2017). VOSviewer Manual. Manual for VOSviewer version 1.6.6
Wu, H. K., Lee, S. W. Y., Chang, H. Y., & Liang, J. C. (2013). Current status, opportunities and challenges of augmented reality in education. Computers & Education, 62, 41–49.
Yazdani, K., Nejat, S., Rahimi A., Qalichi, L., & Khalili, M. (1393). Scientometrics: A review of concepts, applications, and indicators. Iranian Journal of Epidemiology, 10 (4), 78-88.
Yoshikane, F., Nozawa, T., & Tsuji, K. (2006). Comparative analysis of co-authorship networks considering authors' roles in collaboration: Differences between the theoretical and application areas. Scientometrics, 68, 643-655.
Yuen, S. C. Y., Yaoyuneyong, G., & Johnson, E. (2011). Augmented reality: An overview and five directions for AR in education. Journal of Educational Technology Development and Exchange .
Zamani, E., Ghasempour, A., Homaei, R., Mousavi, S. (2016). Investigating the oppertunities and threats, strengths and weaknesses of using smart innovations (case study: Isfahan highschool teachers). Research in Curriculum Planning, 13(49), 84-98.
Zupic, I., & Cater, T. (2015). “Bibliometric methods in management and organization”. Organizational Research Methods, 18(3), 429–472.
Adi, N.H., Fernandes, A.L., & Hermansyah, H. (2020). Pengembangan Media Pembelajaran Berbasis Android Pada Mata Kuliah Fisika Dasar.
Aghaei Chadegani, A., Salehi, H., Md Yunus, M. M., Farhadi, H., Fooladi, M., Farhadi, M., & Ale
Ahmadi , H., Osareh, F., Heydari, GH., Hosseini, M. (2017). Mapping and Analysis of Iranian Conceptual Network of the Structure of Scientometrics, Studies on Library & Information Science, 9(3), 1-20.
Ahmi, , & Mohamad, R. (2019). Bibliometric Analysis of Global Scientific Literature on Web Accessibility.International Journal of Recent Technology and Engineering,7(6), 250–258.
Asadi, H., & Mostafavi, E. (2018). The Productivity and Characteristics of Iranian Biomedical Journal (IBJ): A Scientometric Analysis. Iranian Biomedical Journal, 22, 362 - 366.
Azuma, R., Baillot, Y., Behringer, R., Feiner, S., Julier, S., & MacIntyre, B. (2001). Recent Advances in Augmented Reality. IEEE Computer Graphics and Applications, 21, 34-47.
Badeleh, A., Mahmoodzadeh, H., Kabirizadeh, R. (2019). Comparison of Learning and Reminder Levels of Multivariate Learning Classroom Technology and Inverted Classes and Elementary Classes. Research in Curriculum Planning, 16(63), 139-151. doi: 10.30486/jsre.2019.554601.1014
Baker, E. J., Bakar, J. A. A., & Zulkifli, A. N. (2017). Elements of museum mobile augmented reality for engaging hearing impaired visitors. In AIP Conference Proceedings (Vol. 1891, No. 1, p. 020033). AIP Publishing LLC.
Bakhshipour, M., & Khaleghi, A. (2015). Study of communication technologies for cooperation in augmented reality systems, National Conference on Technology. Energy and data with electrical and computer engineering approach. Kermanshah.
Borner, K., Chen, C., & Boyack, K. W. (2003). Visualizing knowledge domains. Annual Review of Information Science and Technology, 37(1), 179‑
Boyack, K., Borner, K., & Klavans, R. (2009). Mapping the structure and evolution of chemistry research. Scientometrics, 79, 45-60.
Carmigniani, J., & Furth, B. (2011). Augmented Reality: An Overview. In Furth, B. (Ed), Handbook of augmented reality. Springer New York Dordrecht Heidelberg London
Chen, P., Liu, X., Cheng, W., & Huang, R. (2017). A review of using Augmented Reality in Education from 2011 to 2016. In Innovations in smart learning (pp. 13-18). Springer, Singapore.
Cheng, K.-H., & Tsai, C.-C. (2013). Affordances of augmented reality in science learning: Suggestions for future research. Journal of Science Education and Technology, 22(4), 449–462. doi:10.1007/s10956-012-9405-9.
Fahimifar, S., & Talaei, E. (2016). Drawing the thematic map of e-book articles in the Obsco database. Journal of National Library and Information Studies Studies, 27 (2).
Farrukh, M., Meng, F., Raza, A., & Tahir, M. S. (2020). Twenty‐seven years of Sustainable Development Journal: A bibliometric analysis. Sustainable Development, 28(6), 1725-1737.
Fitzgerald, K.R. (2013). Review of article: Prevalence of obesity and trends in the distribution of body mass index among US adults, 1999-2010 by Katherine M. Flegal, PhD; Margaret D. Carroll, MSPH; Brian K. Kit, MD; Cynthia L. Ogden, PhD (JAMA 2012;307:491-7). Journal of vascular nursing : official publication of the Society for Peripheral Vascular Nursing, 31 3, 131-2 .
Haag, J., DEVLEARN, A., & WHILE, I. (2013). Using augmented realityfor contextual mobile learning. Recurso en línea, última consulta el, 30
Horst, R., Fenchel, D., Retz, R., Rau, L., Retz, W., & Dörner, R. (2020). Integration of Game Engine Based Mobile Augmented Reality Into a Learning Management System for Online Continuing Medical Education.
Karakus, M., Ersozlu, A., & Clark, A. C. (2019). Augmented reality research in education: A bibliometric study. Eurasia Journal of Mathematics, Science and Technology Education, 15(10).
Khasseh, A. A., Soosaraei, M., & Fakhar, M. (2016). Cluster Analysis and Mapping of Iranian Researchers in the Field of Parasitology: With an Emphasis on the Co-authoreship Indicators and H Index. Iranian Journal of Medical Microbiology, 10(2), 63-74.
Liang, C., Start, C., Boley, H., Kamat, V., Menassa, C., & Aebersold, M. (2020). Enhancing stroke assessment simulation experience in clinical training using augmented reality. Virtual Reality, 1-10
Makizadeh, F., & Ebrahimi, V. (2018). Drawing a scientific map of the subject area of risk management in the Iranian Science Citation Index (ISC) database. Journal of Crisis Management, 6 (2), 105-117.
Martinez-Lopez, F. J., J. M. Merigó, L. Valenzuela-Fernández, and C. Nicolás. (2018). “Fifty Years of the European Journal of Marketing: A Bibliometric Analysis.” European Journal of Marketing 52 (1/2): 439–468.
Mehdizadeh Maraghi R, Nazari M, Minaii M. (2014). Mapping science of Massage therapy during 2008-2013 in the Scopus database.
Mohammadalipour, N., & Doroudi, F. (2011). Information clustering. Journal of National Library and Information Studies Studies, 21 (2), 160-185.
Moral-Muñoz, José A.; Herrera-Viedma, Enrique; Santisteban-Espejo, Antonio; Cobo, Manuel J. (2020). “Software tools for conducting bibliometric analysis in science: An up-to-date review”. El profesional de la información,
Nawaz, K., T. Aslam, and H. A. Saeed. (2020). “A Bibliometric Analysis of International Journal of Sports Marketing & Sponsorship.” International Journal of Business and Psychology 2 (1): 45–60.
Nawaz, K., H. A. Saeed, and T. A. Sajeel. (2020). “Covid-19 and the State of Research from the Perspective of Psychology.” International Journal of Business and Psychology 2 (1): 35–44.
Neff, M., & Corley, E.A. (2008). 35 years and 160,000 articles: A bibliometric exploration of the evolution of ecology. Scientometrics, 80, 657-682.
Noroozichakoli, A. (2018). Familiarity with scientometrics: (basics, concepts, relationships and roots), SAMT.
Noyons, E.C. (1999). Bibliometric mapping as a science policy and research management tool.
Nurannisa, A.M., & Asfar, A.M. (2020). Learning Design Based on Local Wisdom Maddawa-dawa, Mammanu-manu and Mappettuada.
Rafiei Khezri, S. (2008). Communication, language planning and knowledge and technology transfer. Academy Letter, 137-149.
Sedighi, M. (2015). Using co-word analysis method in mapping of the structure of scientific fields (case study: The field of informetrics).
Senel E. (2019). Health and Ancient Beliefs: A Scientometric Analysis of Health Literature Related to Shamanism, Paganism and Spirituality. Journal of Religion and Health, 58: 1-17.
Sengupta, I. N. (1988). Three new bibliometric parameters and physiology periodicals.
Shafiullah, Y., Khaparde, V., & Alhamdi, F.A. (2015). The Electronic Library Journal: A bibliometric study (2010 to 2014).
Shekofteh M., & Hariri N. (2013). Scientific Mapping of Medicine in Iran Using Subject Category Co-Citation and Social Network Analysis. 16 (51) :43-59.
Sirakaya, M. (2018). The effect of augmented reality use in science education on attitude and motivation. Kastamonu Education Journal, 26(3), 886-89
Small, H. (1999). Visualizing science by citation mapping. Journal of the Association for Information Science and Technology, 50, 799-813.
Soheili, F., Osareh, F. (2013). Concepts of Centrality and Density in Scientific and Social Networks. National Studies on Librarianship and Information Organization, 24(3), 92-108.
Tijssen, R.J.W(1993). A scientometric cognitive study of neural network research: expert mental maps versus bibliometri map. Scientometrics, 28(1), 111-13.
Tupan, T., & Rachmawati, R. (2018). Analisis Bibliometrik Ilmu dan Teknologi Pangan: Publikasi Ilmiah dI Negara-Negara ASEAN. Khizanah al-Hikmah: Jurnal Ilmu Perpustakaan, Informasi, dan Kearsipan, 6(1), 26-40.
Van den Besselaar, P., & Heimeriks, G. (2006). Mapping research topics using word-reference co-occurrences: A method and an exploratory case study. Scientometrics, 68(3), 377-393.
Van Eck, N. J., & Waltman, L. (2014). Visualizing Bibliometric Networks. Dans Y. Ding, R. Rousseau, & D. Wolfram (Éds), Measuring Scholarly Impact: Methods and Practice (pp. 285‑320). Cham: Springer International Publishin.
Van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523‑
Van Eck, N. J., & Waltman, L. (2017). VOSviewer Manual. Manual for VOSviewer version 1.6.6
Wu, H. K., Lee, S. W. Y., Chang, H. Y., & Liang, J. C. (2013). Current status, opportunities and challenges of augmented reality in education. Computers & Education, 62, 41–49.
Yazdani, K., Nejat, S., Rahimi A., Qalichi, L., & Khalili, M. (1393). Scientometrics: A review of concepts, applications, and indicators. Iranian Journal of Epidemiology, 10 (4), 78-88.
Yoshikane, F., Nozawa, T., & Tsuji, K. (2006). Comparative analysis of co-authorship networks considering authors' roles in collaboration: Differences between the theoretical and application areas. Scientometrics, 68, 643-655.
Yuen, S. C. Y., Yaoyuneyong, G., & Johnson, E. (2011). Augmented reality: An overview and five directions for AR in education. Journal of Educational Technology Development and Exchange .
Zamani, E., Ghasempour, A., Homaei, R., Mousavi, S. (2016). Investigating the oppertunities and threats, strengths and weaknesses of using smart innovations (case study: Isfahan highschool teachers). Research in Curriculum Planning, 13(49), 84-98.
Zupic, I., & Cater, T. (2015). “Bibliometric methods in management and organization”. Organizational Research Methods, 18(3), 429–472.
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