From Needs Analysis to a Design Framework: Developing a Project-Based TPACK Mobile Learning Module for Pre-Service Teachers

Zhengjiao Fang ORCID ,  Hazrati Husnin ORCID ,  Helmi Norman ORCID
    Received: 31 March 2026; Revised: 15 April 2026; Accepted: 29 April 2026; Published: 20 October 2026

    Abstract

    The theory-practice gap in Technological Pedagogical Content Knowledge (TPACK) application remains a critical challenge for pre-service teacher education, particularly in rural and multi-ethnic contexts where instructional resources and context-specific examples are limited. As the first phase of designing, developing, and evaluating a project-based TPACK mobile learning module (TPACK-Pj), this study conducted a mixed-methods needs analysis to inform the development of a design framework. Quantitative data from 100 pre-service teachers and qualitative insights from 5 focus group participants were analyzed to identify current TPACK skill levels, instructional challenges, learning needs, and learning preferences. Results showed that pre-service teachers have moderate TPACK skills (M = 3.15), high perceived instructional challenges (M = 3.87), strong practice-driven learning needs (M = 4.30) and mobile learning preferences (M = 4.36). A significant positive correlation existed among challenges, needs, and preferences (r = 0.546–0.840, p < 0.001). No gender differences in TPACK skills were found, but males reported significantly higher challenges, needs, and mobile preferences (all p < 0.05). Based on these findings, this study proposed a design framework for the TPACK-Pj module, including five evidence-based design principles, a design-principle-to-technical-function mapping, and a scientifically structured modular architecture. The framework is designed for implementation on the Chaoxing platform, a widely used mobile learning system in China that offers both mobile app and web-based access, ensuring replicability and scalability. This study contributes a design-oriented, empirically grounded technical framework to the field of information and education technology, serving as the foundation for subsequent module development, usability testing, and effectiveness evaluation.

    Keywords

    References

    1. 1. Kumar, S. Education 4.0: Transforming Learning for the Fourth Industrial Revolution. High. Educ. Future 2025, 12, 144–162.
    2. 2. Maynard A.D. Navigating the Fourth Industrial Revolution. J. Nature nanotechnology 2015, 12, 1005–1006.
    3. 3. Lumadi, R.I. Reimagining Education Systems for Curriculum Justice in the Fourth and Fifth Industrial Revolutions. Afr. Educ. Rev. 2025, 21, 1–16.
    4. 4. Liesa-Orús, M.; Latorre-Cosculluela, C.; Vázquez-Toledo, S.; et al. The Technological Challenge Facing Higher Education Professors: Perceptions of ICT Tools for Developing 21st Century Skills. Sustainability 2020, 12, 5339.
    5. 5. Matar, S. The Development of Educational Technology and Artificial Intelligence and Their Impact on the Future of Education: Opportunities and Risks. J. Posthumanism 2025, 5, 1271–1292.
    6. 6. Tondeur, J.; Scherer, R.; Siddiq, F.; et al. Enhancing Pre-Service Teachers' Technological Pedagogical Content Knowledge (TPACK): A Mixed-Method Study. Educ. Technol. Res. Dev. 2020, 68, 319–343.
    7. 7. Aleksieva, L. Preparing Pre-Service Teachers for the Digital Transformation of Education: Exploring University Teacher Educators' Views and Practical Strategies. Educ. Sci. 2025, 15, 404.
    8. 8. Mishra, P.; Koehler, M.J. Technological Pedagogical Content Knowledge: A Framework for Teacher Knowledge. Teach. Coll. Rec. 2006, 108, 1017–1054.
    9. 9. Koehler, M.J.; Mishra, P.; Kereluik, K.; et al. The Technological Pedagogical Content Knowledge Framework. In Handbook of Research on Educational Communications and Technology; Springer: New York, NY, USA, 2013; pp. 101–111.
    10. 10. Chai, C.S.; Koh, J.H.-L.; Tsai, C.-C. A Review of Technological Pedagogical Content Knowledge. J. Educ. Technol. Soc. 2013, 16, 31–51.
    11. 11. Lachner, A.; Fabian, A.; Franke, U.; et al. Fostering Pre-Service Teachers' Technological Pedagogical Content Knowledge (TPACK): A Quasi-Experimental Field Study. Comput. Educ. 2021, 174, 104304.
    12. 12. Silitonga, L.M.; Suciati, S.; Prastikawati, E.F.; et al. Bridging the Gap: Pre-Service Teachers' Realities of Technology Integration in the Digital Classroom. ETERNAL (Engl. Teach. J.) 2025, 16, 510–519.
    13. 13. Widihastutik, A.; Saraswati, G.P.D.; Wahyuni, S. Pre-Service Teachers' Experiences and Challenges in Creating Digital Learning Media Concerning TPACK Framework. Lang. Circle 2025, 19, 69–80.
    14. 14. Salleh, M.F.M.; Basri, A.S.M.; Ismail, M.H.; et al. Assessing Pre-Service Science Teachers' Technological Pedagogical Content Knowledge (TPACK) in the Hybrid Learning Environment. J. Pendidik. IPA Indones. 2025, 14.
    15. 15. Rakerda, H.; Lathif, M.; Amalia, R.; et al. From Knowledge to Practice: Investigating the TPACK Integration of Indonesian Pre-Service EFL Teachers. Voices Engl. Lang. Educ. Soc. 2025, 9, 71–85.
    16. 16. Aidong, W.; Noor, N.M. Systematic Review of Educational Technology Courses for Pre-Service Teachers: Trends and Challenges. Int. J. Acad. Res. Prog. Educ. Dev. 2025, 14, 106–120.
    17. 17. Gan, L. Research on Professional Development of Preschool Teachers in Ethnic Villages in Yunnan Province Under the Background of Education Informatization. Int. J. Soc. Sci. Educ. Res. 2024, 7, 112–119.
    18. 18. Li, M. Exploring the Digital Divide in Primary Education: A Comparative Study of Urban and Rural Mathematics Teachers' TPACK and Attitudes towards Technology Integration in Post-Pandemic China. Educ. Inf. Technol. 2025, 30, 1913–1945.
    19. 19. Jiong, Z. Analysis of the Differences and Causes of TPACK among Urban and Rural Teachers. J. Teach. Educ. 2019, 6, 41–48. DOI: https://doi.org/10.13718/j.cnki.jsjy.2019.04.006 (in Chinese)
    20. 20. Cheung, A.C.K.; Wong, K.L.; Wang, H.F.; et al. Effect of a Student Teaching Internship Program on the Self-Efficacy of Pre-Service Teachers in Rural China. Int. J. Educ. Manag. 2023, 37, 373–392.
    21. 21. Criollo-C, S.; Guerrero-Arias, A.; Jaramillo-Alcázar, Á.; et al. Mobile Learning Technologies for Education: Benefits and Pending Issues. Appl. Sci. 2021, 11, 4111.
    22. 22. Kukulska-Hulme, A. Mobile Usability in Educational Contexts: What Have We Learnt? Int. Rev. Res. Open Distance Learn. 2007, 8.
    23. 23. Krajcik, J.; Blumenfeld, P. Project-Based Learning. In The Cambridge Handbook of the Learning Sciences; Cambridge University Press: New York, NY, USA, 2006; pp. 317–333.
    24. 24. Dewi, N.R.; Listiaji, P.; Aji, S. The Influence of Project Based Learning Model with TPACK Approach on the Teaching Skills of Pre-Service Science Teachers. In Proceedings of International Conference on Mathematics, Science, and Education, Semarang, Indonesia, 24 October 2023; pp. 53–58.
    25. 25. Qu, L.; Li, L. Implementation Strategy of Project-Based Learning in Mobile Learning Environments and Its Effects. Int. J. Interact. Mob. Technol. 2024, 18, 4–18.
    26. 26. Richey, R.C.; Klein, J.D. Design and Development Research: Methods, Strategies, and Issues; Routledge: New York, NY, USA, 2014.
    27. 27. Bwalya, A.; Rutegwa, M.; Mapulanga, T. Developing Pre-Service Biology Teachers' Technological Pedagogical Content Knowledge through a TPACK-Based Course. Eur. J. Educ. Res. 2024, 13, 263–278.
    28. 28. Cebi, A.; Özdemir, T.B.; Reisoğlu, İ.; et al. From Digital Competences to Technology Integration: Re-Formation of Pre-Service Teachers' Knowledge and Understanding. Int. J. Educ. Res. 2022, 113, 101965.
    29. 29. Kelleci Alkan, Ö.; Aksoy, N.C.; Kulaksız, T.; et al. A Multi-Feedback System Integrated Simulation-Based Teacher Training to Scaffold Pre-Service Teachers' Teaching Skills: A Phenomenological Approach. Educ. Inf. Technol. 2024, 29, 20691–20713.
    30. 30. Fazilla, S.; Bukit, N.; Sriadhi. Enhancing Prospective Teachers' Professional Competence: A Project-Based Learning Approach with the Technological Pedagogical Content Knowledge (TPACK) Model. Kurd. Stud. 2024, 12, 1934–1945.
    31. 31. Sharples, M.; Taylor, J.; Vavoula, G. A Theory of Learning for the Mobile Age. In The Sage Handbook of E-Learning Research; Sage Publications: London, UK, 2006.
    32. 32. Srisawasdi, N.; Pondee, P.; Bunterm, T. Preparing Pre-Service Teachers to Integrate Mobile Technology into Science Laboratory Learning: An Evaluation of Technology-Integrated Pedagogy Module. Int. J. Mob. Learn. Organ. 2018, 12, 1–17.
    33. 33. Criollo-C, S.; Abad-Vásquez, D.; Martic-Nieto, M.; et al. Towards a New Learning Experience through a Mobile Application with Augmented Reality in Engineering Education. Appl. Sci. 2021, 11, 4921.
    34. 34. Tong, D.H.; Nguyen, T.-T.; Uyen, B.P.; et al. Using M-Learning in Teacher Education: A Systematic Review of Demographic Details, Research Methodologies, Pre-Service Teacher Outcomes, and Advantages and Challenges. Contemp. Educ. Technol. 2023, 15, ep482.
    35. 35. Pedraja-Rejas, L.; Muñoz-Fritis, C.; Rodríguez-Ponce, E.; et al. Mobile Learning and Its Effect on Learning Outcomes and Critical Thinking: A Systematic Review. Appl. Sci. 2024, 14, 9105.
    36. 36. Smith, P.L.; Ragan, T.J. Instructional Design, 3rd ed.; John Wiley & Sons: Hoboken, NJ, USA, 2004.
    37. 37. Antonenko, P.D.; Dawson, K.; Sahay, S. A Framework for Aligning Needs, Abilities and Affordances to Inform Design and Practice of Educational Technologies. Br. J. Educ. Technol. 2017, 48, 916–927.
    38. 38. Creswell, J.W.; Clark, V.L.P. Designing and Conducting Mixed Methods Research; Sage Publications: Thousand Oaks, CA, USA, 2017.
    39. 39. Abd Manaf, C.J.; Desa, S.; Saad, M.I.M.; et al. Designing a TPACK-Based Mobile Learning Model for Biology Education Using the Nominal Group Techniques. Environ.-Behav. Proc. J. 2025, 10, 29–35.
    40. 40. Yang, L.; Garcia-Holgado, A.; Martinez-Abad, F. Digital Competence of K–12 Pre-Service and In-Service Teachers in China: A Systematic Literature Review. Asia Pac. Educ. Rev. 2023, 24, 679–693.
    41. 41. Xiao, J.; Wu, Y.; Jiang, X. Empowering Pre-Service Chinese Language Teachers with ICT Literacy: A TPACK-Based Model for Professional Growth. In Proceedings of the 2025 3rd International Conference on Educational Knowledge and Informatization, Chongqing, China, 11–13 July 2025; pp. 492–499.
    42. 42. Sun, X.; Hamdan, A.R.B. The Effect of Micro-Lesson Design on TPACK Level Development of Pre-Service English Teachers in China. Int. J. Sci. Eng. Appl. 2023, 12, 230–233.
    43. 43. Creswell, J.W.; Creswell, J.D. Research Design: Qualitative, Quantitative, and Mixed Methods Approaches, 4th ed.; Sage Publications: Hoboken, NJ, USA, 2017.
    44. 44. Schmidt, D.A.; Baran, E.; Thompson, A.D.; et al. Technological Pedagogical Content Knowledge (TPACK): The Development and Validation of an Assessment Instrument for Preservice Teachers. J. Res. Technol. Educ. 2009, 42, 123–149.
    45. 45. Utami, P.; Pahlevi, F.; Santoso, D.; et al. Android-Based Applications on Teaching Skills Based on TPACK Analysis. IOP Conf. Ser.: Mater. Sci. Eng. 2019, 535, 012009.
    46. 46. Nousheen, A.; Zia, M.A.; Waseem, M. Exploring Pre-Service Teachers' Self-Efficacy, Content Knowledge, and Pedagogical Knowledge Concerning Education for Sustainable Development. Environ. Educ. Res. 2024, 30, 321–333.
    47. 47. Brown, H.D. Teaching by Principles: An Interactive Approach to Language Pedagogy, 4th ed.; Prentice Hall Regents: Englewood Cliffs, NJ, USA, 1994.
    48. 48. Braun, V.; Clarke, V. Using Thematic Analysis in Psychology. Qual. Res. Psychol. 2006, 3, 77–101.
    49. 49. Sulastri, S.; Nurkolis, N.; Kusumaningsih, W.; et al. The Quality of Teaching Digitalization in Primary School Context and Its Relationship to Leadership and Work Motivation. J. Pendidik. Progresif 2024, 14, 1008–1022.
    50. 50. Mak, H.W.L.; Han, R.; Yin, H.H. Application of Variational AutoEncoder (VAE) Model and Image Processing Approaches in Game Design. Sensors 2023, 23, 3457.
    51. 51. Wang, S.; Wang, F.; Zhu, Z.; et al. Artificial Intelligence in Education: A Systematic Literature Review. Expert Syst. Appl. 2024, 252, 124167.
    52. 52. Liang, Y.; Jilin, Y.; Han, D. Investigation and Research on the Information-Based Teaching Ability of Pre-Service Teachers from the Perspective of TPACK. J. Shangrao Norm. Univ. 2022, 42, 77–81. Available online: https://kns.cnki.net/kcms2/article/abstract?v=UKhCRPWaxWbWofeD1IqBW3wrZwwZTyEQLAb6awbQyfrF8ek6GNpP-_lapKJxedwqroBgVjZTYoC-mpC3pz0B0scirvPIH4KIVA5L7SdsrqLA86QjbYSE6X7QwdZDYBLZxynOOUT3uZOcH52PZe-SeBP3OQL2A7GBkE6MLWfTKeEA53usHDoWiIhvVFVcujkd&uniplatform=NZKPT&language=CHS (in Chinese)
    53. 53. Alelaimat, A.M.; Ihmeideh, F.M.; Alkhawaldeh, M.F. Preparing Preservice Teachers for Technology and Digital Media Integration: Implications for Early Childhood Teacher Education Programs. Int. J. Early Child. 2020, 52, 299–317. DOI: https://doi.org/10.1007/s13158-020-00276-2
    54. 54. Wang, G.; Cao, Y.Y.H.; Sun, W.T.; et al. Visual Analysis of Research Hotspots and Development Trends of Information Technology Competence of Pre-Service Teachers in China under the TPACK Framework. Qual.-Oriented Educ. West. China 2025, 11, 25–28. DOI: https://doi.org/10.16681/j.cnki.wcqe.202506006
    55. 55. Hein, G.E. Constructivist Learning Theory. In Proceedings of the CECA (International Committee of Museum Educators) Conference, Jerusalem, Israel, 15–22 October 1991.
    56. 56. Tondeur, J.; Van Braak, J.; Sang, G.; et al. Preparing Pre-Service Teachers to Integrate Technology in Education: A Synthesis of Qualitative Evidence. Comput. Educ. 2012, 59, 134–144.
    57. 57. Lu, L.; Wang, W. Chinese Pre-Service Teachers' Technology Use Experiences and Their Technological Pedagogical Content Knowledge. Educ. Res. Q. 2021, 44, 34–60.
    58. 58. Yang, W.; Wu, D.; Liao, T.; et al. Ready for a Technology Future? Chinese Preservice Preschool Teachers' Technological Pedagogical Content Knowledge and Its Predicting Factors. J. Res. Technol. Educ. 2024, 56, 655–673.
    59. 59. Kosiol, T.; Ufer, S. Teachers' Self-Reported and Actual Content-Related TPACK—New Results on Their Relation and Gender Differences. Comput. Educ. Open 2024, 7, 100205.
    60. 60. Gambari, A.I.; Umahaba, R.E.; Gwoza, M.L.; et al. Influence of Gender on Learning and Behavioural Performances of Undergraduate Pre-Service Teachers Using Mobile Assisted Instruction. Malays. Online J. Educ. Sci. 2025, 13, 58–71.
    61. 61. Navarro, M.; Martin, A.; Gómez-Arízaga, M.P. Profiles of Pre-Service Primary Teachers: Attitudes, Self-Efficacy, and Gender Stereotypes in Teaching Science and Mathematics. Eurasia J. Math. Sci. Technol. Educ. 2022, 18, em2062.
    62. 62. Aziz, A.A.; Rasheed, K. The Influence of Teacher Commitment to Students on Students' Social Development: The Moderating Role of Gender. Bull. Bus. Econ. 2024, 13, 614–621.
    63. 63. John Lorence, V.A. Mobile-Learning Modular App (Molma) for Junior High School Biology: Development, Validation, Perceived Usefulness, and Evaluation. In Proceedings of the 5th International Congress on Action Research, Action Learning (ARAL), Manila, Philippines, 20–22 May 2021.
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