Mapping Educators’ Knowledge, Perceptions, and Readiness (KPR) towards the Adoption of Extended Reality (XR) Technologies in the Classroom (KPR-XR): Scale Development and Validation
DOI:
https://doi.org/10.52756/ijerr.2024.v45spl.025Keywords:
Augmented reality, exploratory factor analysis, extended reality, knowledge, scale development, virtual realityAbstract
This research endeavor aimed to develop and validate a comprehensive scale to assess educators’ knowledge, perceptions, and readiness (KPR) towards the adoption of Extended Reality (XR) technologies in classroom settings. XR (Virtual Reality -VR, Augmented Reality-AR, and Mixed Reality-MR) has transpired as a ground-breaking tool within the educational landscape, but its effective integration completely relies on educators. Grounded in three theoretical frameworks- Technological Pedagogical Content Knowledge (TPACK) for Knowledge, Technology Acceptance Model (TAM) for Perception, and Unified Theory of Acceptance and Use of Technology (UTAUT) for Readiness- the initial scale included 41 items that were drawn/inspired from different papers published in international journals. After this, expert reviews and Content Validity Index (CVI) calculation were undertaken, which resulted in three items being removed, resulting in a 38-item scale. The scale was then administered to 700 University educators across India in the mid of 2024. Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) validated the scale structure, confirming three distinct dimensions (KPR) with strong internal consistency (> 0.90). The KPR-XR scale offers a reliable means to examine the critical factors (KPR) that influence educators' adoption of XR technologies, providing important implications for educational practice and policy.
References
Abdüsselam, M. S., & Karal, H. (2012). The effect of mixed reality environments on the students’ academic achievement in physics education: 11th grade magnetism topic example. Journal of Research in Education and Teaching, 1(4), 170–181.
Akçay?r, M., & Akçay?r, G. (2017). Advantages and challenges associated with augmented reality for education: A systematic review of the literature. Educational Research Review, 20, 1–11. https://doi.org/10.1016/j.edurev.2016.11.002
Alnagrat, A., Ismail, R. C., Idrus, S. Z. S., & Alfaqi, R. M. A. (2022). A review of extended reality (XR) technologies in the future of human education: Current trend and future opportunity. Journal of Human Centered Technology, 1(2), 81–96.
https://doi.org/10.11113/humentech.v1n2.27
Anh, T. T. N., Phong, N. T., & Jan, A. (2023). Teachers’ Perceptions and Readiness for Digital Transformation in Education: Empirical Evidence from Vietnam, a Developing Nation. FWU Journal of Social Sciences, 17(3). http://doi.org/10.51709/19951272/Fall 2023/7
Awang, Z. (2012). Research Methodology and Data Analysis Second Edition. UiTM Press.
Ayre, C., & Scally, A. J. (2014). Critical Values for Lawshe’s Content Validity Ratio: Revisiting the Original Methods of Calculation. Measurement and Evaluation in Counseling and Development, 47(1), 79–86. https://doi.org/10.1177/0748175613513808
Azuma, R., Baillot, Y., Behringer, R., Feiner, S., Julier, S., & MacIntyre, B. (2001). Recent advances in augmented reality. IEEE Computer Graphics and Applications, 21(6), 34–47. 10.1109/38.963459
Bacca Acosta, J. L., Baldiris Navarro, S. M., Fabregat Gesa, R., & Graf, S. (2014). Augmented reality trends in education: A systematic review of research and applications. Journal of Educational Technology and Society, 2014, Vol. 17, Núm. 4, p. 133-149.
Ba?, G., Kubiatko, M., & Sünbül, A. M. (2016). Teachers’ perceptions towards ICTs in teaching-learning process: Scale validity and reliability study. Computers in Human Behavior, 61, 176–185. https://doi.org/10.1016/j.chb.2016.03.022
Belda-Medina, J., & Calvo-Ferrer, J. R. (2022). Integrating augmented reality in language learning: Pre-service teachers’ digital competence and attitudes through the TPACK framework. Education and Information Technologies, 27(9), 12123–12146. https://doi.org/10.1007/s10639-022-11123-3
Bower, M., Dalgarno, B., Kennedy, G. E., Lee, M. J. W., & Kenney, J. (2015). Design and implementation factors in blended synchronous learning environments: Outcomes from a cross-case analysis. Computers & Education, 86, 1–17. https://doi.org/10.1016/j.compedu.2015.03.006
Burke, E., Felle, P., Crowley, C., Jones, J., Mangina, E., & Campbell, A. G. (2017). Augmented reality EVAR training in mixed reality educational space. 2017 IEEE Global Engineering Education Conference (EDUCON), 1571–1579. https://ieeexplore.ieee.org/abstract/document/7943058/
Chen, P., Liu, X., Cheng, W., & Huang, R. (2017). A review of using Augmented Reality in Education from 2011 to 2016. In E. Popescu, Kinshuk, M. K. Khribi, R. Huang, M. Jemni, N.-S. Chen, & D. G. Sampson (Eds.), Innovations in Smart Learning (pp. 13–18). Springer Singapore. https://doi.org/10.1007/978-981-10-2419-1_2
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, 449–462. https://doi.org/10.1007/s10956-012-9405-9
Conway, J. M., & Huffcutt, A. I. (2003). A Review and Evaluation of Exploratory Factor Analysis Practices in Organizational Research. Organizational Research Methods, 6(2), 147–168. https://doi.org/10.1177/1094428103251541
Costello, A. B., & Osborne, J. (2019). Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis. Practical Assessment, Research, and Evaluation, 10(1), 7.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 319–340. https://www.jstor.org/stable/249008
Delello, J. A. (2014). Insights from pre-service teachers using science-based augmented reality. Journal of Computers in Education, 1(4), 295–311. https://doi.org/10.1007/s40692-014-0021-y
DeVellis, R. F. (2003). Scale development: Theory and applications. SAGE publications. Thousand Okas, London, New Delhi.
Ding, Z., & Ng, F. (2008). A new way of developing semantic differential scales with personal construct theory. Construction Management and Economics, 26(11), 1213–1226. https://doi.org/10.1080/01446190802527522
Downes, J. M., & Bishop, P. (2012). Educators Engage Digital Natives and Learn from Their Experiences with Technology: Integrating Technology Engages Students in Their Learning. Middle School Journal, 43(5), 6–15. https://doi.org/10.1080/00940771.2012.11461824
Fast-Berglund, Å., Gong, L., & Li, D. (2018). Testing and validating Extended Reality (xR) technologies in manufacturing. Procedia Manufacturing, 25, 31–38. https://doi.org/10.1016/j.promfg.2018.06.054
Fathema, N., Shannon, D., & Ross, M. (2015). Expanding the Technology Acceptance Model (TAM) to examine faculty use of Learning Management Systems (LMSs) in higher education institutions. Journal of Online Learning & Teaching, 11(2). http://jolt.merlot.org/Vol11no2/Fathema_0615.pdf
Ferguson, E., & Cox, T. (1993). Exploratory Factor Analysis: A Users’Guide. International Journal of Selection and Assessment, 1(2), 84–94. https://doi.org/10.1111/j.1468-2389.1993.tb00092.x
Freina, L., & Ott, M. (2015). A literature review on immersive virtual reality in education: State of the art and perspectives. The International Scientific Conference Elearning and Software for Education, 1(133), 10–1007.
https://www.academia.edu/download/93940955/eLSE_202015_20Freina_20Ott_20Paper.pdf
Gandolfi, E., Ferdig, R., & Kosko, K. (2020). The extended reality presence scale. Society for Information Technology & Teacher Education International Conference, 1027–1033. https://www.learntechlib.org/p/215856/
Gavish, N., Gutiérrez, T., Webel, S., Rodríguez, J., Peveri, M., Bockholt, U., & Tecchia, F. (2015). Evaluating virtual reality and augmented reality training for industrial maintenance and assembly tasks. Interactive Learning Environments, 23(6), 778–798. https://doi.org/10.1080/10494820.2013.815221
Goal 4: Quality education | United Nations Development Programme. (n.d.). UNDP. Retrieved September 19, 2024, from https://www.undp.org/sustainable-development-goals/quality-education
Goldin, C., & Katz, L. F. (2007). The Race between Education and Technology: The Evolution of U.S. Educational Wage Differentials, 1890 to 2005 (Working Paper 12984). National Bureau of Economic Research. https://doi.org/10.3386/w12984
Gruber, A., & Kaplan-Rakowski, R. (2020). User experience of public speaking practice in virtual reality. In Cognitive and affective perspectives on immersive technology in education (pp. 235–249). IGI Global. https://www.igi-global.com/chapter/user-experience-of-public-speaking-practice-in-virtual-reality/253698
Guo, X., Guo, Y., & Liu, Y. (2021). The development of extended reality in education: Inspiration from the research literature. Sustainability, 13(24), 13776. https://doi.org/10.3390/su132413776
Hair, J. F. (2009). Multivariate data analysis. https://digitalcommons.kennesaw.edu/facpubs/2925/
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Canonical correlation: A supplement to multivariate data analysis. Multivariate Data Analysis: A Global Perspective, 7th Ed.; Pearson Prentice Hall Publishing: Upper Saddle River, NJ, USA.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis 6th Edition. Pearson Prentice Hall. New Jersey. humans: Critique and reformulation ….
Hayes, A. T., & Hughes, C. E. (2016). Using human in the loop simulation in virtual and mixed reality for medical training. Proceedings of the NextMed/MMVR22: 22nd Medicine Meets Virtual Reality Conference, Los Angeles, CA, USA, 7–9.
Hogarty, K. Y., Lang, T. R., & Kromrey, J. D. (2003). Another Look At Technology Use In Classrooms: The Development And Validation Of An Instrument To Measure Teachers’ Perceptions. Educational and Psychological Measurement, 63(1), 139–162. https://doi.org/10.1177/0013164402239322
Hõrak, H. (2019). Computer vision-based unobtrusive physical activity monitoring in school by room-level physical activity estimation: A method proposition. Information, 10(9), 269. https://doi.org/10.3390/info10090269
Hsu, T.-C. (2017). Learning English with augmented reality: Do learning styles matter? Computers & Education, 106, 137–149. https://doi.org/10.1016/j.compedu.2016.12.007
Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
Hutcheson, G. D., & Sofroniou, N. (1999). The multivariate social scientist: Introductory statistics using generalized linear models. Sage.
Ibili, E., Resnyansky, D., & Billinghurst, M. (2019). Applying the technology acceptance model to understand maths teachers’ perceptions towards an augmented reality tutoring system. Education and Information Technologies, 24(5), 2653–2675. https://doi.org/10.1007/s10639-019-09925-z
Ispir, B., YILDIZ, A., & Erco?kun, M. H. (2024). The Use of Augmented Reality, Virtual Reality and Mixed Reality Technologies in Education: A Bibliometric and Systematic Review. Journal of Qualitative Research in Education, 40, 1–33.
https://doi.org/10.14689/enad.40.1918
Johnson, L. (2016). NMC horizon report: 2016 higher education edition. http://publicservicesalliance.org/wp-content/uploads/2016/09/2016-nmc-horizon-report-he-EN.pdf
Kaiser, H. F. (1960). The Application of Electronic Computers to Factor Analysis. Educational and Psychological Measurement, 20(1), 141–151. https://doi.org/10.1177/001316446002000116
Kaplan-Rakowski, R., & Gruber, A. (2022). The Impact of High-Immersion Virtual Reality on Foreign Language Anxiety When Speaking in Public. Available at SSRN 3882215. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3882215
Kaplan-Rakowski, R., Papin, K., & Hartwick, P. M. (2022). Language teachers’ perceptions and use of extended reality. Available at SSRN 4096263. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4096263
Kaplan-Rakowski, R., & Wojdynski, T. (2018). Students’ attitudes toward high-immersion virtual reality assisted language learning. Future-Proof CALL: Language Learning as Exploration and Encounters—Short Papers from EUROCALL, 124–129.
Kaufmann, D. (2003). Rethinking governance: Empirical lessons challenge orthodoxy. Available at SSRN 386904. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=386904
Kerawalla, L., Luckin, R., Seljeflot, S., & Woolard, A. (2006). “Making it real”: Exploring the potential of augmented reality for teaching primary school science. Virtual Reality, 10(3–4), 163–174. https://doi.org/10.1007/s10055-006-0036-4
Kiryakova, G., Angelova, N., & Yordanova, L. (2018). The potential of augmented reality to transform education into smart education. TEM Journal, 7(3), 556.
Kline, R. B. (2023). Principles and practice of structural equation modeling. Guilford publications.
Klopfer, E., & Yoon, S. (2005). Developing games and simulations for today and tomorrow’s tech savvy youth. TechTrends: Linking Research & Practice to Improve Learning, 49(3).
Koehler, M., & Mishra, P. (2009). What is technological pedagogical content knowledge (TPACK)? Contemporary Issues in Technology and Teacher Education, 9(1), 60–70. https://www.learntechlib.org/p/29544/
Krokos, E., Plaisant, C., & Varshney, A. (2019). Virtual memory palaces: Immersion aids recall. Virtual Reality, 23(1), 1–15. https://doi.org/10.1007/s10055-018-0346-3
Kuleto, V., P, M. I., Stanescu, M., Rankovi?, M., Ševi?, N. P., P?un, D., & Teodorescu, S. (2021). Extended reality in higher education, a responsible innovation approach for generation y and generation z. Sustainability, 13(21), 11814. https://doi.org/10.3390/su132111814
Kumar, N., Rose, R. C., & D’Silva, J. L. (2008). Teachers’ readiness to use technology in the classroom: An empirical study. European Journal of Scientific Research, 21(4), 603–616.
Landry, G. A. (2010). Creating and Validating an Instrument to Measure Middle School Mathematics Teachers’ Technological Pedagogical Content Knowledge (TPACK).
Lazar, I., & Panisoara, I. O. (2018). Understanding the role of modern technologies in education: A scoping review protocol. Psychreg J. Psychol, 2, 74–86.
Liu, D., Bhagat, K. K., Gao, Y., Chang, T.-W., & Huang, R. (2017). The Potentials and Trends of Virtual Reality in Education. In D. Liu, C. Dede, R. Huang, & J. Richards (Eds.), Virtual, Augmented, and Mixed Realities in Education (pp. 105–130). Springer Singapore. https://doi.org/10.1007/978-981-10-5490-7_7
Luan, W. S., & Teo, T. (2009). Investigating the technology acceptance among student teachers in Malaysia: An application of the technology acceptance model (TAM). The Asia-Pacific Education Researcher, 18(2), 261–272.
Luo, X., Tong, S., Fang, Z., & Qu, Z. (2019). Machines versus humans: The impact of AI chatbot disclosure on customer purchases. Luo, X, Tong S, Fang Z, Qu, 2019, 20–33.
Lynn, M. R. (1986). Determination and quantification of content validity. Nursing Research, 35(6), 382–386.
Maeng, J. L., Mulvey, B. K., Smetana, L. K., & Bell, R. L. (2013). Preservice Teachers’ TPACK: Using Technology to Support Inquiry Instruction. Journal of Science Education and Technology, 22(6), 838–857. https://doi.org/10.1007/s10956-013-9434-z
Malhotra, S., Anil, K., & Kaur, A. (2023). Impact of Social Entrepreneurship on Digital Technology and Students’ Skill Set in Higher Education Institutions: A Structured Equation Model. Int. J. Exp. Res. Rev., 35, 54-61. https://doi.org/10.52756/ijerr.2023.v35spl.006
Markowitz, D. M., Laha, R., Perone, B. P., Pea, R. D., & Bailenson, J. N. (2018). Immersive virtual reality field trips facilitate learning about climate change. Frontiers in Psychology, 9, 2364. https://doi.org/10.3389/fpsyg.2018.02364
Meccawy, M. (2023). Teachers’ prospective attitudes towards the adoption of extended reality technologies in the classroom: Interests and concerns. Smart Learning Environments, 10(1), 36. https://doi.org/10.1186/s40561-023-00256-8
Milgram, P., & Kishino, F. (1994). A taxonomy of mixed reality visual displays. IEICE TRANSACTIONS on Information and Systems, 77(12), 1321–1329.
Minocha, S., Tudor, A.D., & Tilling, S. (2017). Affordances of mobile virtual reality and their role in learning and teaching. Electronic Visualisation and the Arts (EVA 2017). https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/HCI2017.44
Mittal, P., & Jora, R. (2023). Exploring student community engagement in higher education: A bibliometric analysis on the path to sustainable development. Int. J. Exp. Res. Rev., 32, 166-177. https://doi.org/10.52756/ijerr.2023.v32.014
Ning, Y., Zhang, C., Xu, B., Zhou, Y., & Wijaya, T. T. (2024). Teachers’ AI-TPACK: Exploring the relationship between knowledge elements. Sustainability, 16(3), 978.
Nunnally, J., & Bernstein, I. (1994). Psychometric Theory 3rd edition (MacGraw-Hill, New York).
Polit, D. F. (2004). Nursing research: Principles and methods. Lippincott Williams & Wilkins. https://books.google.com/books?hl=en&lr=&id=5g6VttYWnjUC&oi=fnd&pg=PA3&dq=polit+and+beck+2004+nursing+research:+principles+and+methods&ots=_1jMnLnozE&sig=4v-IMuenNSLCfPYtVC1OLA0oji0
Pomerantz, J. (2019). Teaching and learning with extended reality technology. Information and Technology Transforming Lives: Connection, Interaction, Innovation. https://www.researchgate.net/profile/Nadina-Grebovic-Lendo/publication/350386168_COMMUNITY_ENGAGEMENT_IN_ACADEMIC_LIBRARIES_WARBOOKPEDIA_BA_INITIATIVE_AT_THE_FACULTY_OF_PHILOSOPHY_IN_SARAJEVO/links/605ccb4592851cd8ce692d04/COMMUNITY-ENGAGEMENT-IN-ACADEMIC-LIBRARIES-WARBOOKPEDIA-BA-INITIATIVE-AT-THE-FACULTY-OF-PHILOSOPHY-IN-SARAJEVO.pdf#page=137
Pregowska, A., Osial, M., & Gajda, A. (2024). What will the education of the future look like? How have metaverse and extended reality affected the higher education systems? Metaverse Basic and Applied Research, 3, 57–57.
Prensky, M. (2001). Digital natives, digital immigrants part 2: Do they really think differently? On the Horizon, 9(6), 1–6.
Radianti, J., Majchrzak, T. A., Fromm, J., & Wohlgenannt, I. (2020). A systematic review of immersive virtual reality applications for higher education: Design elements, lessons learned, and research agenda. Computers & Education, 147, 103778.
Reimers, F. M., & Schleicher, A. (2020). A framework to guide an education response to the COVID-19 Pandemic of 2020 (Vol. 14). Oecd Paris. https://globaled.gse.harvard.edu/files/geii/files/orientaciones_para_guiar_la_respuesta_educativa_a_la_pandemia_covid-19.pdf
Rodrigues, H., Almeida, F., Figueiredo, V., & Lopes, S. L. (2019). Tracking e-learning through published papers: A systematic review. Computers & Education, 136, 87–98.
Sautter, B., & Daling, L. (2021). Mixed reality supported learning for industrial on-the-job training. Proceedings of the Conference on Learning Factories (CLF).
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3864189
Schleicher, A. (2018). World class. OECD Publishing, Paris. https://sadil.ws/bitstream/handle/123456789/93/World%20class.pdf?sequence=1
Schmidt, D. A., Baran, E., Thompson, A. D., Mishra, P., Koehler, M. J., & Shin, T. S. (2009). Technological Pedagogical Content Knowledge (TPACK): The Development and Validation of an Assessment Instrument for Preservice Teachers. Journal of Research on Technology in Education, 42(2), 123–149. https://doi.org/10.1080/15391523.2009.10782544
Schott, C., & Marshall, S. (2018). Virtual reality and situated experiential education: A conceptualization and exploratory trial. Journal of Computer Assisted Learning, 34(6), 843–852. https://doi.org/10.1111/jcal.12293
Selwyn, N. (2021). Education and Technology: Key Issues and Debates. Bloomsbury Publishing.
Shelton, B. E., & Hedley, N. R. (2002). Using augmented reality for teaching earth-sun relationships to undergraduate geography students. The First IEEE International Workshop Agumented Reality Toolkit, 8-pp. https://ieeexplore.ieee.org/abstract/document/1106948/
Speicher, M., Hall, B. D., & Nebeling, M. (2019). What is Mixed Reality? Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 1–15. https://doi.org/10.1145/3290605.3300767
Sugimoto, M. (2021). Extended Reality (XR:VR/AR/MR), 3D Printing, Holography, A.I., Radiomics, and Online VR Tele-Medicine for Precision Surgery. In S. Takenoshita & H. Yasuhara (Eds.), Surgery and Operating Room Innovation (pp. 65–70). Springer Nature Singapore. https://doi.org/10.1007/978-981-15-8979-9_7
Tabachnick, B. G., & Fidell, L. S. (2007). Experimental designs using ANOVA (Vol. 724).
Thomson/Brooks/Cole Belmont, CA. Teo, T. (2011). Factors influencing teachers’ intention to use technology: Model development and test. Computers & Education, 57(4), 2432–2440. https://doi.org/10.1016/j.compedu.2011.06.008
The Future of Jobs Report 2020 | World Economic Forum. (n.d.). Retrieved November 1, 2024, from https://www.weforum.org/publications/the-future-of-jobs-report-2020/
Tomi, A. B., & Rambli, D. R. A. (2013). An interactive mobile augmented reality magical playbook: Learning number with the thirsty crow. Procedia Computer Science, 25, 123–130.
UNESCO: Education for Sustainable Development Goals. (n.d.). Retrieved November 1, 2024, from https://unesdoc.unesco.org/ark:/48223/pf0000247444/PDF/247444eng.pdf.multi
Venkatesh, V., & Davis, F. D. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
Wang, W., Schmidt-Crawford, D., & Jin, Y. (2018). Preservice Teachers’ TPACK Development: A Review of Literature. Journal of Digital Learning in Teacher Education, 34(4), 234–258. https://doi.org/10.1080/21532974.2018.1498039
Williams, B., Onsman, A., & Brown, T. (2010). Exploratory Factor Analysis: A Five-Step Guide for Novices. Australasian Journal of Paramedicine, 8, 1–13. https://doi.org/10.33151/ajp.8.3.93
Wojciechowski, R., & Cellary, W. (2013). Evaluation of learners’ attitude toward learning in ARIES augmented reality environments. Computers & Education, 68, 570–585. https://doi.org/10.1016/j.compedu.2013.02.014
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. https://doi.org/10.1016/j.compedu.2012.10.024
Yen, J.-C., Tsai, C.-H., & Wu, M. (2013). Augmented reality in the higher education: Students’ science concept learning and academic achievement in astronomy. Procedia-Social and Behavioral Sciences, 103, 165–173. https://doi.org/10.1016/j.sbspro.2013.10.322
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 (JETDE), 4(1), 11.
Zamanzadeh, V., Ghahramanian, A., Rassouli, M., Abbaszadeh, A., Alavi-Majd, H., & Nikanfar, A.-R. (2015). Design and implementation content validity study: Development of an instrument for measuring patient-centered communication. Journal of Caring Sciences, 4(2), 165. 10.15171/jcs.2015.017
Zwoli?ski, G., Kami?ska, D., Laska-Le?niewicz, A., Haamer, R. E., Vairinhos, M., Raposo, R., Urem, F., & Reisinho, P. (2022). Extended reality in education and training: Case studies in management education. Electronics, 11(3), 336. https://doi.org/10.3390/electronics11030336
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