Aceptación de Estudiantes Kirguís del Uso de Códigos QR en un Curso de Química Orgánica

Autores/as

DOI:

https://doi.org/10.24310/ijtei.101.2024.17747

Palabras clave:

Videos instructivos, Química orgánica, Código QR, Aceptación de tecnología

Resumen

Las disciplinas científicas requieren un estudio más profundo del material teórico mediante la realización de trabajos de laboratorio, que incluyen la realización de experimentos. En este sentido, será útil introducir activamente nuevas tecnologías en el proceso educativo. En este estudio, se integraron códigos QR en el libro de texto del Curso de Química Orgánica para dirigir a los estudiantes universitarios y de secundaria a los videos apropiados sobre los experimentos. En este sentido, este estudio tuvo como objetivo analizar la aceptación de la tecnología de códigos QR utilizada en el curso de "Química Orgánica" por parte de estudiantes universitarios y de secundaria. Este modelo de investigación se basa en el Modelo de Aceptación de Tecnología (TAM) y la Teoría Unificada de Aceptación y Uso de Tecnología2 (UTAUT2). Por lo tanto, el estudio incluyó la alegría percibida, la influencia social, las condiciones facilitadoras, la motivación hedónica, la facilidad de uso percibida, la utilidad percibida, la intención conductual y la actitud como los principales antecedentes de la aceptación de los códigos QR por parte de los estudiantes. En total, participaron en este estudio 204 estudiantes kirguís de nivel universitario y secundario. Se aplicó el análisis de modelos de ecuaciones estructurales de mínimos cuadrados parciales (PLS-SEM) para analizar los efectos de los factores en la aceptación de los códigos QR por parte de los estudiantes. El estudio reveló que las condiciones facilitadoras, la motivación hedónica, la influencia social, la facilidad de uso percibida y la utilidad percibida son factores importantes para la aceptación del uso de códigos QR por parte de los estudiantes en el curso de Química Orgánica.

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Biografía del autor/a

Chinara Jumabaeva, Kyrgyz-Turkish Manas University,

Graduated from the Kyrgyz National University with a degree in Information Systems. Candidate of Computer Sciences, Associate Professor. Total teaching experience is 25 years. One of the areas of scientific research is the use of information technology in education. She is a senior lecturer at the Kyrgyz-Turkish Manas University.

Gülgün Afacan Adanır, Cambridge University,

Gülgün Afacan Adanır is an instructor at Ankara University Open and Distance Education Faculty. She also supports instructional activities of the Ankara University Informatics Department. Dr. Adanır gained her PhD from Middle East Technical University (METU) Information Systems in February 2016. She holds a BSc in Computer Education and Instructional Technology (2006), an MSc in Information Systems (2009) both from Middle East Technical University. She worked as a research assistant at Middle East Technical University Informatics Institute between 2007 and 2011. Then, she worked as a research assistant at the University of Georgia between 2011 and 2012. Since 2014, she has been working as an instructor at Ankara University. Her research interests include distance education, learning analytics, e-government, and human-computer interaction.

Kulumkan Sartova, Kyrgyz-Turkish Manas University,

Graduated from the Kyrgyz Pedagogical Institute. Candidate of Chemical Sciences, Associate Professor. Specialist in the field of coal chemistry. Sartova studying the physicochemical properties of cotton biomass and methods for producing activated carbons from cotton waste. Total teaching experience is 49 years. She is an associate professor at the Kyrgyz-Turkish Manas Univ

Gulshat Muhametjanova, Kyrgyz-Turkish Manas University,

Gulshat Muhametjanova is an Assistant Professor at Kyrgyz-Turkish Manas University. She received BS in Computer Engineering from Kyrgyz-Turkish Manas University, Bishkek, Kyrgyzstan, in 2004 and a PhD on BS in Computer Education and Instructional Technologies from Middle East Technical University, Ankara, Turkey, in 2014. Her research interests include technology integration, e-learning, distance education, and social networking sites.

Citas

Abdul Rabu, S. N., Hussin, H., & Bervell, B. (2019). QR code utilization in a large classroom: Higher education students’ initial perceptions. Education and Information Technologies, 24(1), 359–384. https://doi.org/10.1007/s10639-018-9779-2

Afacan, G., & Çinar, M. (2021). The Acceptance and Use of an Online Exam System by Online Learners: Implementation of the UTAUT Model. Sakarya University Journal of Education, 11(3), 412-430. https://doi.org/10.19126/suje.830529

Al-Azawei, A., & Alowayr, A. (2020). Predicting the intention to use and hedonic motivation for mobile learning: A comparative study in two Middle Eastern countries. Technology in Society, 62, 1-12. https://doi.org/10.1016/j.techsoc.2020.101325

Ali, N., Santos, I. M., & Areepattamannil, S. (2017). Pre-service teachers' perception of quick response (QR) code integration in classroom activities. Turkish Online Journal of Educational Technology-TOJET, 16(1), 93-100.

Al Mansoori, K. A., Sarabdeen, J., & Tchantchane, A. L. (2018). Investigating Emirati citizens’ adoption of e-government services in Abu Dhabi using modified UTAUT model. Information Technology & People, 31(2), 455-481. https://doi.org/10.1108/ITP-12-2016-0290

Artemova, E., S. Shishalova, Y., Melnikov3, S., Orekhova, O., & Nikiporets-Takigawa, G. (2021). El Uso de Códigos QR y su eficacia en la Aplicación de competencias profesionales. Apuntes Universitarios, 12(1), 419-435. https://doi.org/10.17162/au.v12i1.978

Carter, L., & Bélanger, F. (2005). The utilization of e‐government services: citizen trust, innovation and acceptance factors. Information Systems Journal, 15(1), 5-25. https://doi.org/10.1111/j.1365-2575.2005.00183.x

Chang, C. T., Hajiyev, J., & Su, C. R. (2017). Examining the students’ behavioral intention to use e-learning in Azerbaijan? The general extended technology acceptance model for e-learning approach. Computers & Education, 111, 128-143. https://doi.org/10.1016/j.compedu.2017.04.010

Chooi, W. J., Chooi, W. Y., Lee, S. H., Ng, S. K., & Ng, W. S. (2014). Determinants affecting behavioral intention of using QR codes as a learning tool (Doctoral dissertation, Universiti Tunku Abdul Rahman). UTAR. http://eprints.utar.edu.my/1413/

Chyou, J. J. T., Kang, H. C., & Cheng, B. Y. F. (2012). Acceptance Of Qr Code In Taiwan: An Extension Of The Technology Acceptance Model. PACIS 2012 Proceedings. 12. https://aisel.aisnet.org/pacis2012/12

Davis, F. D. (1989). Perceived usefulness, perceived ease of use and use acceptance of information technology. MIS Quarterly, 13(3), 319–339.

Del Rosario-Raymundo, M. R. (2017). QR codes as mobile learning tools for labor room nurses at the San Pablo Colleges Medical Center. Interactive Technology and Smart Education, 14(2), 138-158. https://doi.org/10.1108/ITSE-02-2017-0015

Durak, G., Ozkeskin, E. E., & Ataizi, M. (2016). QR codes in education and communication. Turkish Online Journal of Distance Education, 17(2), 42-58.

El-Gayar, O., Moran, M., & Hawkes, M. (2011). Students' acceptance of tablet PCs and implications for educational institutions. Journal of Educational Technology & Society, 14(2), 58-70.

Escobar-Rodríguez, T., Carvajal-Trujillo, E., & Monge-Lozano, P. (2014). Factors that influence the perceived advantages and relevance of Facebook as a learning tool: An extension of the UTAUT. Australasian Journal of Educational Technology, 30(2), 136-151. https://doi.org/10.14742/ajet.585

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. https://doi.org/10.1177/00222437810180010

Gao, B. (2023). Understanding smart education continuance intention in a delayed benefit context: An integration of sensory stimuli, UTAUT, and flow theory. Acta Psychologica, 234, 1-13. https://doi.org/10.1016/j.actpsy.2023.103856

González-Rosende, M. E., Bueso-Bordils, J. I., Castillo, E., Martínez-Solís, I., & Murgui-Martínez, J. M. (2020, March 2-4). QR codes for blended learning in organic chemistry lab classes and Pharmaceutical Botany Workshops: A study case. INTED Proceedings. 14th International Technology, Education and Development Conference. Valencia, España. https://doi.org/10.21125/inted.2020.0572

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (2nd ed.). Sage.

Ifenthaler, D., & Schweinbenz, V. (2016). Students' acceptance of tablet PCs in the classroom. Journal of Research on Technology in Education, 48(4), 306-321. https://doi.org/10.1080/15391523.2016.1215172

Iskandar, M., Hartoyo, H., & Hermadi, I. (2020). Analysis of factors affecting behavioral intention and use of behavioral of mobile banking using unified theory of acceptance and use of technology 2 model approach. International Review of Management and Marketing, 10(2), 41-49. https://doi.org/10.32479/irmm.9292

Jameel, A. S., Abdalla, S. N., & Karem, M. A. (2020, November). Behavioural Intention to Use E-Learning from student's perspective during COVID-19 Pandemic. In 2020 2nd Annual international conference on information and sciences (AiCIS) (pp. 165-171). IEEE.

Karia, C. T., Hughes, A., & Carr, S. (2019). Uses of quick response codes in healthcare education: a scoping review. BMC Medical Education, 19(1), 1-14. https://doi.org/10.1186/s12909-019-1876-4

Karahan, E., & Bilici, S. C. (2017). Use of QR codes in science education: Science teachers' opinions and suggestions. Necatibey Faculty of Education Electronic Journal of Science & Mathematics Education, 11(1), 433-457.

Kline, P. (1999). The handbook of psychological testing (2nd ed.). Routledge

Mei-Ying, W., Pei-Yuan, Y., & Weng, Y. C. (2012). A study on user behavior for i pass by UTAUT: Using taiwan's MRT as an example. Asia Pacific Management Review, 17(1), 91-111.

Mileva, N., & Stoyanova, D. (2017, November 16-18). A methodological approach for using QR codes in Education. ICERI Proceedings. 10th annual International Conference of Education, Research and Innovation. Sevilla, España. https://doi.org/10.21125/iceri.2017.2296

Moorthy, M. K., Jing, C. W., Yue, C. W., Siewhwa, L., SokKuan, N., & Shin, N. W. (2014). Determinants affecting behavioural intention of using QR codes as a learning tool. International Journal of Physical and Social Sciences, 4(12), 54-73.

Nair, I., & Das, V. M. (2012). Using Technology Acceptance Model to assess teachers’ attitude towards use of technology as teaching tool: A SEM Approach. International Journal of Computer Applications, 42(2), 1-6.

Nazar, M., Nurmalahayati, N., Rusman, R., Puspita, K., & Haris, A. (2022). Introducing Chemical Instruments through Quick Response Code (QR-Code) Based Website. Jurnal Penelitian Pendidikan IPA, 8(3), 1083-1088. https://doi.org/10.29303/jppipa.v8i3.1361

Nikolopoulou, K., Gialamas, V., & Lavidas, K. (2021). Habit, hedonic motivation, performance expectancy and technological pedagogical knowledge affect teachers’ intention to use mobile internet. Computers and Education Open, 2, e100041. https://doi.org/10.1016/j.caeo.2021.100041

Onyekwere, J., & Enamul Hoque, K. (2023). Relationship between technological change, digitization, and students’ attitudes toward distance learning in Lagos Higher Education institutes. Innoeduca. International Journal of Technology and Educational Innovation, 9(1), 126–142. https://doi.org/10.24310/innoeduca.2023.v9i1.15286

Pastor, G. C., Sánchez-Adsuar, M. D., & Miguel, J. (2015, June). Proposal of QR Codes Implementation in Teaching Methodology. ICERI Proceedings. 10th annual International Conference of Education, Research and Innovation. Sevilla, España.

Sayginer, C. (2023). Acceptance and use of cloud-based virtual platforms by higher education vocational school students: application of the UTAUT model with a PLS-SEM approach. Innoeduca. International Journal of Technology and Educational Innovation, 9(2), 24–38. https://doi.org/10.24310/innoeduca.2023.v9i2.15647

Schulz, E. V., & Ottolini, K. M. (2023). Teaching with QR codes: Accessible technology for the novice educator. eLearn, 2023(2 Special Issue), art.6. https://doi.org/10.1145/3583062.3566130

Shanmugam, A., Savarimuthu, M. T., & Wen, T. C. (2014). Factors affecting Malaysian behavioral intention to use mobile banking with mediating effects of attitude. Academic Research International, 5(2), 236-253.

Sultanov, A. (2023, November 18). Kyrgyzstan ranked 15th in world in terms of Internet cost -. 24.Kg. https://24.kg/english/280086_Kyrgyzstan_ranked_15th_in_world_in_terms_of_Internet_cost/

Situmoranga, R., Siangb, J. L., Ibrahimc, N., & Lagunsiangd, J. (2019). Development of collaborative learning materials based on QR code to facilitate learning. Development, 8(6), 85-98.

Sukendro, S., Habibi, A., Khaeruddin, K., Indrayana, B., Syahruddin, S., Makadada, F. A., & Hakim, H. (2020). Using an extended Technology Acceptance Model to understand students’ use of e-learning during Covid-19: Indonesian sport science education context. Heliyon, 6(11), e05410. https://doi.org/10.1016/j.heliyon.2020.e05410

Şimşek, A. S., & Ateş, H. (2022). The extended technology acceptance model for Web 2.0 technologies in teaching. Innoeduca. International Journal of Technology and Educational Innovation, 8(2), 165–183. https://doi.org/10.24310/innoeduca.2022.v8i2.15413

Taherdoost, H. (2016). Sampling methods in research methodology; How to choose a sampling technique for research. International Journal of Academic Research in Management (IJARM), 5(2), 18-27. http://dx.doi.org/10.2139/ssrn.3205035

Tamilmani, K., Rana, N. P., Prakasam, N., & Dwivedi, Y. K. (2019). The battle of Brain vs. Heart: A literature review and meta-analysis of “hedonic motivation” use in UTAUT2. International Journal of Information Management, 46, 222-235. https://doi.org/10.1016/j.ijinfomgt.2019.01.008

Tan, F. B., & Chou, J. P. (2008). The relationship between mobile service quality, perceived technology compatibility, and users' perceived playfulness in the context of mobile information and entertainment services. Intl. Journal of Human–Computer Interaction, 24(7), 649-671. https://doi.org/10.1080/10447310802335581

Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991). Personal computing: Toward a conceptual model of utilization. MIS Quarterly, 15(1), 125-143. https://doi.org/10.2307/249443

Triandis, H. C. (1980). Values, attitudes, and interpersonal behavior. In H. Howe, & M. Page (Eds.), Nebraska symposium on motivation (V. 27, pp. 195–259). University of Nebraska Press.

Trochim, W. M. K. (n.d.). Research Methods Knowledge Base. https://conjointly.com/kb/

Twum, K. K., Ofori, D., Keney, G., & Korang-Yeboah, B. (2022). Using the UTAUT, personal innovativeness and perceived financial cost to examine student’s intention to use E-learning. Journal of Science and Technology Policy Management, 13(3), 713-737. https://doi.org/10.1108/JSTPM-12-2020-0168

Uçak, E. (2019). Teaching materials developed using QR code technology in science classes. International Journal of Progressive Education, 15(4), 215-228.

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

Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157-178. https://doi.org/10.2307/41410412

Yang, H. D., & Choi, I. (2001). Revisiting technology acceptance model with social influence factors. PACIS 2001 proceedings, 35. https://acortar.link/w17enR

Publicado

01-06-2024

Cómo citar

Jumabaeva, C., Afacan Adanır, G., Sartova, K., & Muhametjanova, G. (2024). Aceptación de Estudiantes Kirguís del Uso de Códigos QR en un Curso de Química Orgánica. Innoeduca. International Journal of Technology and Educational Innovation, 10(1), 166–183. https://doi.org/10.24310/ijtei.101.2024.17747

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