The Utilization of Generative AI in Designing Data Analytics and Visualization Workshop (Case Study: GDGoC at Universitas Negeri Malang)

Refiana Andiyah; Ence Surahman; Herlina Ike Oktaviani

doi:10.21512/ijcshai.v2i2.13519

Authors

Refiana Andiyah Universitas Negeri Malang
Ence Surahman Universitas Negeri Malang
Herlina Ike Oktaviani Universitas Negeri Malang

DOI:

https://doi.org/10.21512/ijcshai.v2i2.13519

Keywords:

Generative AI, Artificial Intelligence, Data analytics and Visualisation, Training program design, Human-Computer Interaction Theory

Abstract

This study explores the use of Generative Artificial Intelligence (Generative AI) in designing a Data Analytics and Visualization workshop within the Google Developer Groups on Campus (GDGoC) community at the State University of Malang. Employing a qualitative case study approach, data were gathered through in-depth interviews, observations, and document analysis involving key informants directly engaged in the planning and execution of the workshop. The findings reveal that Generative AI significantly enhanced the efficiency, effectiveness, and quality of the workshop program. The technology was utilized across various stages, from conceptualizing the event and gathering references to preparing presentation materials. Respondents noted that Generative AI facilitated faster and more systematic material organization, supporting prior research on its ability to improve productivity and efficiency in educational settings. Nevertheless, the study also identified challenges, including reliance on AI, difficulties in generating appropriate prompts, and the necessity of validating AI-generated content. In the context of Human-Computer Interaction (HCI), Generative AI was perceived to offer favorable usability and user experience, although adequate digital literacy is essential to ensure its ethical and effective use. In conclusion, Generative AI presents considerable potential as a tool for developing training programs, with human involvement remaining critical to ensure the relevance and accuracy of the generated information.

Dimensions

References

[1] Ahmad, S. F., Rahmat, Mohd. K., Mubarik, M. S., Alam, M. M., & Hyder, S. I. (2021). Artificial Intelligence and Its Role in Education. Sustainability, 13(22), 12902. https://doi.org/10.3390/su132212902

[2] Ahmed, Z., Shanto, S. S., Rime, Most. H. K., Morol, Md. K., Fahad, N., Hossen, Md. J., & Abdullah-Al-Jubair, Md. (2024). The Generative AI Landscape in Education: Mapping the Terrain of Opportunities, Challenges, and Student Perception. IEEE Access, 12, 147023–147050. https://doi.org/10.1109/ACCESS.2024.3461874

[3] AllahRakha, N. (2024). UNESCO's AI Ethics Principles: Challenges and Opportunities. International Journal of Law and Policy, 2(9). https://doi.org/10.59022/ijlp.225

[4] Asamoah, D. (2022). Improving Data Visualization Skills: A Curriculum Design. International Journal of Education and Development Using Information and Communication Technology, 18(1), 213-235.

[5] Development of Inquiry-based Active Learning Pedagogy Approach to Heightening Learners’ Critical Thinking Skills in Data Visualization for Analytics Course. Journal of Engineering Education Transformations, 37(IS2), 295–304. https://doi.org/10.16920/jeet/2024/v37is2/24053

[6] Baker, R. S., & Hawn, A. (2022). Algorithmic Bias in Education. International Journal of Artificial Intelligence in Education, 32(4), 1052–1092. https://doi.org/10.1007/s40593-021-00285-9

[7] Barrera Castro, G. P., Chiappe, A., Becerra Rodriguez, D. F., & Sepulveda, F. G. (2024). Harnessing AI for Education 4.0: Drivers of Personalized Learning. Electronic Journal of e-Learning, 22(5), 01–14. https://doi.org/10.34190/ejel.22.5.3467

[8] Börner, K., Scrivner, O., Gallant, M., Ma, S., Liu, X., Chewning, K., Wu, L., & Evans, J. A. (2018). Skill discrepancies between research, education, and jobs reveal the critical need to supply soft skills for the data economy. Proceedings of the National Academy of Sciences, 115(50), 12630–12637. https://doi.org/10.1073/pnas.1804247115

[9] Buetti, D., & Bourgeois, I. (2024). Developing an Evaluation Training Program for Community-Based Organizations: A Participatory Curriculum Development Approach. Canadian Journal of Program Evaluation, 39(1), 97–106. https://doi.org/10.3138/cjpe-2023-0020

[10] Busetto, L., Wick, W., & Gumbinger, C. (2020). How to use and assess qualitative research methods. Neurological Research and Practice, 2(1), 14. https://doi.org/10.1186/s42466-020-00059-z

[11] Chen, L., Chen, P., & Lin, Z. (2020). Artificial Intelligence in Education: A Review. IEEE Access, 8, 75264–75278. https://doi.org/10.1109/ACCESS.2020.2988510

[12] Community, Network, Stories, and Programs. (t.t.). Google for Developers. Diambil 26 Februari 2025, dari https://developers.google.com/community

[13] Cresswell, J. W., & Poth, C. N. (2018). Qualitative Inquiry and Research Design: Chosing Among Five Approaches (4th ed.). SAGE Publications, Inc. https://collegepublishing.sagepub.com/products/qualitative-inquiry-and-research-design-4-246896

[14] Darejeh, A., Marcus, N., Mohammadi, G., & Sweller, J. (2024). A critical analysis of cognitive load measurement methods for evaluating the usability of different types of interfaces: guidelines and framework for Human-Computer Interaction. ArXiv, abs/2402.11820. https://doi.org/10.48550/arXiv.2402.11820.

[15] Dix, A., Finlay, J., Abowd, G. D., & Beale, R. (2004). Human-Computer Interaction (3rd ed.). Pearson Education.

[16] Denny, E., & Weckesser, A. (2022). How to do qualitative research?: Qualitative research methods. BJOG: An International Journal of Obstetrics & Gynaecology, 129(7), 1166–1167. https://doi.org/10.1111/1471-0528.17150

[17] Dupuy, K., Palik, J., & Østby, G. (2022). No right to read: National regulatory restrictions on refugee rights to formal education in low- and middle-income host countries. International Journal of Educational Development, 88, 102537. https://doi.org/10.1016/j.ijedudev.2021.102537

[18] Cai, J., Ran, H., Hwang, S., , Y., Han, J., & Muirhead, F. (2023). Impact of prompts on students’ mathematical problem posing. The Journal of Mathematical Behavior. https://doi.org/10.1016/j.jmathb.2023.101087.

[19] Feuerriegel, S., Hartmann, J., Janiesch, C., & Zschech, P. (2024). Generative AI. Business & Information Systems Engineering, 66(1), 111–126. https://doi.org/10.1007/s12599-023-00834-7

[20] Fields, Z. (Ed.). (2024). Impacts of generative AI on creativity in higher education. IGI Global. https://doi.org/10.4018/979-8-3693-2418-9

[21] Ghnemat, R., Shaout, A., & Al-Sowi, A. M. (2022). Higher Education Transformation for Artificial Intelligence Revolution: Transformation Framework. International Journal of Emerging Technologies in Learning (iJET), 17(19), 224–241. https://doi.org/10.3991/ijet.v17i19.33309

[22] Gocen, A., & Aydemir, F. (2020). Artificial Intelligence in Education and Schools. Research on Education and Media, 12(1), 13–21. https://doi.org/10.2478/rem-2020-0003

[23] Goel, A. K., & Joyner, D. A. (2017). Using AI to Teach AI: Lessons from an Online AI Class. AI Magazine, 38(2), 48–58. https://doi.org/10.1609/aimag.v38i2.2732

[24] Google for Developers—From AI and Cloud to Mobile and Web. (t.t.). Google for Developers. Diambil 26 Februari 2025, dari https://developers.google.com/

[25] Hamilton, A. B., & Finley, E. P. (2019). Qualitative methods in implementation research: An introduction. Psychiatry Research, 280, 112516. https://doi.org/10.1016/j.psychres.2019.112516

[26] Harry, A., & Sayudin, S. (2023). Role of AI in Education. Interdiciplinary Journal and Hummanity (INJURITY), 2(3), 260–268. https://doi.org/10.58631/injurity.v2i3.52

[27] Jeon, J., Kim, L., & Park, J. (2025). The Ethics of Generative AI in Social Science Research: A Qualitative Approach for Institutionally Grounded AI Research Ethics. Technology in Society, 102836. https://doi.org/10.1016/j.techsoc.2025.102836

[28] Kim, T. S., Ignacio, M. J., Yu, S., Jin, H., & Kim, Y. G. (2024). UI/UX for Generative AI: Taxonomy, Trend, and Challenge. IEEE Access. https://doi.org/10.1109/ACCESS.2024.3502628

[29] Kivijärvi, H., & Pärnänen, K. (2021). Instrumental Usability and Effective User Experience: Interwoven Drivers and Outcomes of Human-Computer Interaction. International Journal of Human–Computer Interaction, 39, 34 - 51. https://doi.org/10.1080/10447318.2021.2016236.

[30] Kosch, T., Karolus, J., Zagermann, J., Reiterer, H., Schmidt, A., & Woźniak, P. (2023). A Survey on Measuring Cognitive Workload in Human-Computer Interaction. ACM Computing Surveys, 55, 1 - 39. https://doi.org/10.1145/3582272.

[31] Korinek, A. (2023). Generative AI for Economic Research: Use Cases and Implications for Economists. Journal of Economic Literature, 61(4), 1281–1317. https://doi.org/10.1257/jel.20231736

[32] Lee, I., & Perret, B. (2022). Preparing High School Teachers to Integrate AI Methods into STEM Classrooms. Proceedings of the AAAI Conference on Artificial Intelligence, 36(11), 12783–12791. https://doi.org/10.1609/aaai.v36i11.21557

[33] Liu, Y., Huang, J., Li, Y., Wang, D., & Xiao, B. (2024). Generative AI model privacy: A survey. Artificial Intelligence Review, 58(1), 33. https://doi.org/10.1007/s10462-024-11024-6

[34] Luckin, R. (2017). Towards artificial intelligence-based assessment systems. Nature Human Behaviour, 1(3), 0028. https://doi.org/10.1038/s41562-016-0028

[35] Luckin, R., & Cukurova, M. (2019). Designing educational technologies in the age of AI: A learning sciences‐driven approach. British Journal of Educational Technology, 50(6), 2824–2838. https://doi.org/10.1111/bjet.12861

[36] Miles, M. B., Huberman, A. M., & Saldana, J. (2014). Qualitative Data Analysis: A Methods Sourcebook. Third Edition (3rd ed.). SAGE Publications Ltd (CA). https://eric.ed.gov/?id=ED565763

[37] Mittal, U., Sai, S., Chamola, V., & Sangwan, D. (2024). A Comprehensive Review on Generative AI for Education. IEEE Access, 12, 142733–142759. https://doi.org/10.1109/ACCESS.2024.3468368

[38] Nagaraj, P., & Raja, M. (2024). Development of Inquiry-based Active Learning Pedagogy Approach to Heightening Learners' Critical Thinking Skills in Data Visualization for Analytics Course. Journal of Engineering Education Transformations, 37.

[39] Noroozi, O., Soleimani, S., Farrokhnia, M., & Banihashem, S. K. (2024). Generative AI in Education: Pedagogical, Theoretical, and Methodological Perspectives. International Journal of Technology in Education, 7(3), 373–385. https://doi.org/10.46328/ijte.845

[40] Pragya Mishara. (2024). The Ethical Implications of AI in Education: Privacy, Bias, and Accountability. Journal of Informatics Education and Research, 4(2). https://doi.org/10.52783/jier.v4i2.1827

[41] Rane, J., Kaya, Ö., Mallick, S. K., & Rane, N. L. (2024). Artificial intelligence in education: A SWOT analysis of ChatGPT and its implications for practice and research. Dalam J. Rane, Ö. Kaya, S. K. Mallick, & N. L. Rane, Generative Artificial Intelligence in Agriculture, Education, and Business. Deep Science Publishing. https://doi.org/10.70593/978-81-981271-7-4_4

[42] Ritu Arya & Ashish Verma. (2024). Role of Artificial Intelligence in Education. International Journal of Advanced Research in Science, Communication and Technology, 589–594. https://doi.org/10.48175/IJARSCT-19461

[43] Ryan, L., Silver, D., Laramee, R. S., & Ebert, D. (2019). Teaching Data Visualization as a Skill. IEEE Computer Graphics and Applications, 39(2), 95–103. https://doi.org/10.1109/MCG.2018.2889526

[44] Seo, K., Tang, J., Roll, I., Fels, S., & Yoon, D. (2021). The impact of artificial intelligence on learner–instructor interaction in online learning. International Journal of Educational Technology in Higher Education, 18(1), 54. https://doi.org/10.1186/s41239-021-00292-9

[45] Shamsutdinova, T. M. (2023). Developing visualization and visual analytics skills in informatics course. Informatics and education, 38(3), 16–23. https://doi.org/10.32517/0234-0453-2023-38-3-16-23

[46] Sharma, R. (2024). Teacher Training And Professional Development With Utilisation Of Ai. Paripex Indian Journal Of Research, 6–8. https://doi.org/10.36106/paripex/9703972

[47] Shi, H. (2017). Planning Effective Educational Programs for Adult Learners. World Journal of Education, 7(3), 79. https://doi.org/10.5430/wje.v7n3p79

[48] Surahman, E., Kurniawan, C., & Pratama, U. N. (2021). The Appropriate Remote Learning Methods During the COVID-19 Pandemic in Rural Schools in Indonesia: International Conference on Information Technology and Education (ICITE 2021), Malang, Indonesia. https://doi.org/10.2991/assehr.k.211210.020

[49] Sugiyono. (2005). Metode penelitian kualitatif, kuantitatif dan R&D. Bandung: Alfabeta.

[50] Sugiyono, (2017). Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Bandung: CV. Alfabeta.

[51] Syed, Y. Q. A., Hossain, G., & Mohammed, S. P. (2024). Introducing Data Visualization to High School Students. 2024 IEEE Integrated STEM Education Conference (ISEC), 1–7. https://doi.org/10.1109/ISEC61299.2024.10664915

[52] Tapalova, O., & Zhiyenbayeva, N. (2022). Artificial Intelligence in Education: AIEd for Personalised Learning Pathways. Electronic Journal of e-Learning, 20(5), 639–653. https://doi.org/10.34190/ejel.20.5.2597

[53] Topali, P., Ortega-Arranz, A., Rodríguez-Triana, M. J., Er, E., Khalil, M., & Akçapınar, G. (2024). Designing human-centered learning analytics and artificial intelligence in education solutions: A systematic literature review. Behaviour & Information Technology, 1–28. https://doi.org/10.1080/0144929X.2024.2345295

[54] Varsha, P. S. (2023). How can we manage biases in artificial intelligence systems–A systematic literature review. International Journal of Information Management Data Insights, 3(1), 100165.

[55] Valverde-Rebaza, J., González, A., Navarro-Hinojosa, O., & Noguez, J. (2024). Advanced large language models and visualization tools for data analytics learning. Frontiers in Education, 9, 1418006. https://doi.org/10.3389/feduc.2024.1418006

[56] Venkatraman, S., Overmars, A., & Wahr, F. (2019). Visualization and Experiential Learning of Mathematics for Data Analytics. Computation, 7(3), 37. https://doi.org/10.3390/computation7030037

[57] Wangdi, P. (2024). Integrating Artificial Intelligence in Education: Trends and Opportunities. International Journal of Research in STEM Education, 6(2), 50–60. https://doi.org/10.33830/ijrse.v6i2.1722

[58] Wu, J., Wang, R., Zhao, H., Zhang, R., Lu, C., Li, S., & Henao, R. (2023). Few-Shot Composition Learning for Image Retrieval with Prompt Tuning. , 4729-4737. https://doi.org/10.1609/aaai.v37i4.25597.

[59] Yeboah, E., & Prieto Alvarez, C. (2024). Harnessing AI: Seamless Digital Tool Integration for Enhanced Educational Outcomes. ASCILITE Publications, 121–122. https://doi.org/10.14742/apubs.2024.1187

[60] Yunanto, A. D. (2018). Konstruksi Identitas Juru Kunci Kampung Adat Cikondang (Studi Deskriptif Mengenai Konstruksi Identitas Juru Kunci Kampung Adat Cikondang). Universitas Komputer Indonesia.

[61] Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 39. https://doi.org/10.1186/s41239-019-0171-0

[62] Zenni, E. A., & Turner, T. L. (2021). Planning and Presenting Workshops That Work: A Faculty Development Workshop. MedEdPORTAL, 11158. https://doi.org/10.15766/mep_2374-8265.11158

[63] Zhou, D., Scharli, N., Hou, L., Wei, J., Scales, N., Wang, X., Schuurmans, D., Bousquet, O., Le, Q., & Chi, E. (2022). Least-to-Most Prompting Enables Complex Reasoning in Large Language Models. ArXiv, abs/2205.10625. https://doi.org/10.48550/arXiv.2205.10625.