Journal Evaluation in Education (JEE)
Journal Evaluation in Education (JEE)

an Open Access Journal

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Journal Evaluation in Education (JEE)

an Open Access Journal


Evaluation of the Effectiveness of AI-Assisted Project-Based Learning on Research Proposal Writing Skills

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  • Purpose of the study: Improving the quality of research proposals is a challenge in Biology education at the tertiary level. Integrating project-based learning with artificial intelligence (AI) support offers an innovative approach to strengthening students’ proposal writing skills. This study aimed to determine the effect of AI-assisted project-based learning on the ability to write research proposals of Biology Education students.

    Methodology: This study used a pretest-posttest quasi-experiment design with a control group. Two classes of Biology Education students were purposively selected. The experimental class applied AI-assisted project learning, while the control class used conventional methods. Data were collected through the assessment of the research proposal rubric and analyzed by t-test to assess the difference between the scores of the control class and experimental classes’ scores. The data obtained in this study were analyzed using SPSS.

    Main Findings: The research finding show that the average score of the experimental class proposal writing ability of 86.2 is greater than that of the control class proposal writing ability of 78.7. The results also show that the Sig. 0.0001 is smaller than 0.05, meaning that AI-assisted project-based learning affects the ability to write research proposals. This finding indicates that AI effectively supports students in designing and writing better research proposals.

    Novelty/Originality of this study: Research on the use of AI in project learning to improve research proposal writing skills is still limited. This study contribute that AI effectively supports students in designing and writing better research proposals.

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    [1]
    “Evaluation of the Effectiveness of AI-Assisted Project-Based Learning on Research Proposal Writing Skills”, Jor. Eva. Edu, vol. 6, no. 4, pp. 1151–1158, Oct. 2025, doi: 10.37251/jee.v6i4.2021.
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    1. A. Rastri, Y. S. Rezeki, U. Salam, D. Riyanti, and S. Surmiyati, “An analysis of students’ problems in writing a research proposal,” Acitya J. Teach. Educ., vol. 5, no. 1, pp. 57–71, 2023, doi: 10.30650/ajte.v5i1.3479. DOI: https://doi.org/10.30650/ajte.v5i1.3479
    2. E. Sanganyado, W. N. Nunu, and S. Sanganyado, “Towards a framework for embedding doctorateness in research proposals,” Innov. Educ. Teach. Int., vol. 60, no. 6, pp. 930–940, Nov. 2023, doi: 10.1080/14703297.2022.2124186. DOI: https://doi.org/10.1080/14703297.2022.2124186
    3. N. N. Padmadewi, L. P. Artini, N. M. Ratminingsih, I. P. A. Suhardiana, A. Zamzam, and P. A. K. Juniarta, “Designing project-based learning in research proposal writing: Its effect, problems, and scaffolding utilized,” Stud. English Lang. Educ., vol. 10, no. 2, pp. 841–862, May 2023, doi: 10.24815/siele.v10i2.27408. DOI: https://doi.org/10.24815/siele.v10i2.27408
    4. O. K. Akram, D. J. Franco, and A. Lee, “Undergraduate and graduate students’ challenges: A qualitative study with ONDAS framework across multiple disciplines and innovative research methodologies,” Qual. Rep., vol. 28, no. 10, pp. 2887–2915, Oct. 2023, doi: 10.46743/2160-3715/2023.6679. DOI: https://doi.org/10.46743/2160-3715/2023.6679
    5. S. E. Wahyuni and N. Inayati, “The problems of generating ideas faced by English language students in research proposal writing,” PIONEER J. Lang. Lit., vol. 12, no. 2, p. 88, 2020, doi: 10.36841/pioneer.v12i2.633. DOI: https://doi.org/10.36841/pioneer.v12i2.633
    6. N. Suryatiningsih, “EFL students’ difficulties in writing a research proposal,” Int. J. Humanit. Innov., vol. 2, no. 4, pp. 96–102, 2019, doi: 10.33750/ijhi.v2i4.49. DOI: https://doi.org/10.33750/ijhi.v2i4.49
    7. M. A. Almulla, “The effectiveness of the project-based learning (PBL) approach as a way to engage students in learning,” SAGE Open, vol. 10, no. 3, 2020, doi: 10.1177/2158244020938702. DOI: https://doi.org/10.1177/2158244020938702
    8. W. Sumarni and S. Kadarwati, “Ethno-stem project-based learning: Its impact to critical and creative thinking skills,” J. Pendidik. IPA Indones., vol. 9, no. 1, pp. 11–21, 2020, doi: 10.15294/jpii.v9i1.21754. DOI: https://doi.org/10.15294/jpii.v9i1.21754
    9. M. M. Marghany, “Using artificial intelligence-based instruction to develop EFL higher education students’ essay writing skills,” CDELT Occas. Pap. Dev. English Educ., vol. 82, no. 1, pp. 219–240, 2023, doi: 10.21608/opde.2023.313623. DOI: https://doi.org/10.21608/opde.2023.313623
    10. D. N. Boote and P. Beile, “Scholars before researchers: On the centrality of the dissertation literature review in research preparation,” Educ. Res., vol. 34, no. 6, pp. 3–15, Aug. 2005, doi: 10.3102/0013189X034006003. DOI: https://doi.org/10.3102/0013189X034006003
    11. J. W. Creswell and J. D. Creswell, Research design: Qualitative, quantitative, and mixed methods approaches. California: SAGE Publications, Inc., 2018.
    12. I. N. Suwandi, “Project-Based Learning Combined With Whatsapp Application To Develop Students’ Writing Skills,” Int. J. Soc. Sci., vol. 1, no. 1, pp. 37–42, 2021, doi: 10.53625/ijss.v1i1.598. DOI: https://doi.org/10.53625/ijss.v1i1.598
    13. H. Yu, “Retracted: Enhancing creative cognition through project-based learning: An in-depth scholarly exploration,” Heliyon, vol. 10, no. 6, p. e27706, Mar. 2024, doi: 10.1016/j.heliyon.2024.e27706. DOI: https://doi.org/10.1016/j.heliyon.2024.e27706
    14. J. Peng, B. Yuan, M. Sun, M. Jiang, and M. Wang, “Computer-based scaffolding for sustainable project-based learning: Impact on high- and low-achieving students,” Sustainability, vol. 14, no. 19, p. 12907, Oct. 2022, doi: 10.3390/su141912907. DOI: https://doi.org/10.3390/su141912907
    15. N. Hakimah, “Assessing the impact of project-based learning on students’ writing skills: A pre-experimental study,” Acitya J. Teach. Educ., vol. 5, no. 2, pp. 434–448, 2023, doi: 10.30650/ajte.v5i2.3723. DOI: https://doi.org/10.30650/ajte.v5i2.3723
    16. V. N. Sari, S. Suwandi, and Sumarwati, “The impact of interactive multimedia incorporating local cultural content and project-based learning on Junior High School Student writing skills,” Res. J. Adv. Humanit., vol. 5, no. 3, Sep. 2024, doi: 10.58256/910yme05. DOI: https://doi.org/10.58256/910yme05
    17. F. Aifatin, “Project-Based Learning to Enhance Students’ Creative Thinking Skill on Language Learning,” Linguist. J. Linguist. Lang. Teach., vol. 9, no. 2, p. 260, Dec. 2023, doi: 10.29300/ling.v9i2.3854. DOI: https://doi.org/10.29300/ling.v9i2.3854
    18. S. Suteja and D. Setiawan, “Students’ Critical Thinking and Writing Skills in Project-Based Learning,” Int. J. Educ. Qual. Quant. Res., vol. 1, no. 1, pp. 16–22, 2022, doi: 10.58418/ijeqqr.v1i1.5. DOI: https://doi.org/10.58418/ijeqqr.v1i1.5
    19. G. Garcia, G. E. R. M. . Huali, M. N. . Cristobal, and B. R. . Moreno, “The mpact of project-based teaching on technological development and critical thinking skills in higher education students,” Evol. Stud. imaginative Cult., pp. 771–781, Oct. 2024, doi: 10.70082/esiculture.vi.1906. DOI: https://doi.org/10.70082/esiculture.vi.1906
    20. N. Rehman, W. Zhang, A. Mahmood, M. Z. Fareed, and S. Batool, “Fostering twenty-first century skills among primary school students through math project-based learning,” Humanit. Soc. Sci. Commun., vol. 10, no. 1, p. 424, Jul. 2023, doi: 10.1057/s41599-023-01914-5. DOI: https://doi.org/10.1057/s41599-023-01914-5
    21. Y. I. Sari, Sumarmi, D. H. Utomo, and I. K. Astina, “The effect of problem based learning on problem solving and scientific writing skills,” Int. J. Instr., vol. 14, no. 2, pp. 11–26, 2021, doi: 10.29333/iji.2021.1422a. DOI: https://doi.org/10.29333/iji.2021.1422a
    22. K. Kaharuddin, “Assessing the effect of using artificial intelligence on the writing skill of Indonesian learners of English,” Linguist. Cult. Rev., vol. 5, no. 1, pp. 288–304, 2021, doi: 10.21744/lingcure.v5n1.1555. DOI: https://doi.org/10.21744/lingcure.v5n1.1555
    23. T. Miller, “Explanation in artificial intelligence: Insights from the social sciences,” Artif. Intell., vol. 267, pp. 1–38, 2019, doi: 10.1016/j.artint.2018.07.007. DOI: https://doi.org/10.1016/j.artint.2018.07.007
    24. Y. Zheng, Y. Pan, Z. Zhang, and Y. Chen, “The application of artificial intelligence technology in improving the quality of teaching and learning in computer education,” Appl. Math. Nonlinear Sci., vol. 9, no. 1, Jan. 2024, doi: 10.2478/amns-2024-2395. DOI: https://doi.org/10.2478/amns-2024-2395
    25. R. A. Prayudi, A. K. Hakiki, N. R. D. Putra, T. O. Anzka, and M. T. Ihsan, “The use of technology in english teaching & learning process,” J. Ris. dan Inov. Pembelajaran, vol. 1, no. 2, pp. 102–111, 2021, doi: 10.51574/jrip.v1i2.38. DOI: https://doi.org/10.51574/jrip.v1i2.38
    26. M. Syahnaz and R. Fithriani, “Utilizing artificial intelligence-based paraphrasing tool in EFL writing class: A focus on Indonesian university students’ perceptions,” Scope J. English Lang. Teach., vol. 7, no. 2, p. 210, 2023, doi: 10.30998/scope.v7i2.14882. DOI: https://doi.org/10.30998/scope.v7i2.14882
    27. T. Tanti, K. Anwar, J. Jamaluddin, A. S. Saleh, D. K. Yusup, and M. Jahanifar, “Faith meets technology: Navigating student satisfaction in indonesia’s islamic higher education online learning”, Jur. Ilmh. Ilm. Ter. Un. Ja, vol. 9, no. 2, pp. 695–708, Jun. 2025, doi: 10.22437/jiituj.v9i2.41513. DOI: https://doi.org/10.22437/jiituj.v9i2.41513
    28. X. Shen and M. F. Teng, “Three-wave cross-lagged model on the correlations between critical thinking skills, self-directed learning competency and AI-assisted writing,” Think. Ski. Creat., vol. 52, p. 101524, Jun. 2024, doi: 10.1016/j.tsc.2024.101524. DOI: https://doi.org/10.1016/j.tsc.2024.101524
    29. M. Yamin and O. Purwati, “Enhacing critical writing towords undergraduate students in conducting research,” Arab Word English J., vol. 11, no. 2, pp. 142–153, 2020, doi: 10.24093/awej/vol11no2.10. DOI: https://doi.org/10.24093/awej/vol11no2.10
    30. M. M. Msambwa, Z. Wen, and K. Daniel, “The impact of AI on the personal and collaborative learning environments in higher education,” Eur. J. Educ., vol. 60, no. 1, Mar. 2025, doi: 10.1111/ejed.12909. DOI: https://doi.org/10.1111/ejed.12909
    31. S. Gao, “Can artificial intelligence give a hand to open and distributed learning? A probe into the state of undergraduate students’ academic emotions and test anxiety in learning via ChatGPT,” Int. Rev. Res. Open Distrib. Learn., vol. 25, no. 3, pp. 199–218, Aug. 2024, doi: 10.19173/irrodl.v25i3.7742. DOI: https://doi.org/10.19173/irrodl.v25i3.7742
    32. R. Zheng, H. Xu, M. Wang, and J. Lu, “The impact of artificial general intelligence-assisted project-based learning on students’ higher order thinking and self-efficacy,” IEEE Trans. Learn. Technol., vol. 17, pp. 2153–2160, 2024, doi: 10.1109/TLT.2024.3488086. DOI: https://doi.org/10.1109/TLT.2024.3488086
    33. S. A. Athaluri, S. V. Manthena, V. S. R. K. M. Kesapragada, V. Yarlagadda, T. Dave, and R. T. S. Duddumpudi, “Exploring the Boundaries of Reality: Investigating the Phenomenon of Artificial Intelligence Hallucination in Scientific Writing Through ChatGPT References,” Cureus, vol. 15, no. 4, 2023, doi: 10.7759/cureus.37432. DOI: https://doi.org/10.7759/cureus.37432
    34. S. H. Cady, J. G. Willing, and D. A. Cady, “The AI imperative: On becoming quintessentially human,” J. Appl. Behav. Sci., vol. 60, no. 4, pp. 721–731, Dec. 2024, doi: 10.1177/00218863241284310. DOI: https://doi.org/10.1177/00218863241284310
    35. T. Tanti, D. Darmaji, A. Astalini, D. A. Kurniawan, and M. Iqbal, “Analysis of user responses to the application of web-based assessment on character assessment,” Journal of education technology, vol. 5, no. 3, pp. 356-364, 2021, doi: 10.23887/jet.v5i3.33590. DOI: https://doi.org/10.23887/jet.v5i3.33590
    36. A. Nguyen, H. N. Ngo, Y. Hong, B. Dang, and B.-P. T. Nguyen, “Ethical principles for artificial intelligence in education,” Educ. Inf. Technol., vol. 28, no. 4, pp. 4221–4241, Apr. 2023, doi: 10.1007/s10639-022-11316-w. DOI: https://doi.org/10.1007/s10639-022-11316-w
    37. W. Zhang, Y. Guan, and Z. Hu, “The efficacy of project-based learning in enhancing computational thinking among students: A meta-analysis of 31 experiments and quasi-experiments,” Educ. Inf. Technol., vol. 29, no. 11, pp. 14513–14545, Aug. 2024, doi: 10.1007/s10639-023-12392-2. DOI: https://doi.org/10.1007/s10639-023-12392-2
    38. T. Tanti, A. Astalini, D. A. Kurniawan, D. Darmaji, T. O. Puspitasari, and I. Wardhana, “Attitude for physics: The condition of high school students,” Jurnal Pendidikan Fisika Indonesia, vol. 17, no. 2, pp. 126-132, 2021, doi: 10.15294/jpfi.v17i2.18919. DOI: https://doi.org/10.15294/jpfi.v17i2.18919
    39. A. M. Canonigo, “Levering AI to enhance students’ conceptual understanding and confidence in mathematics,” J. Comput. Assist. Learn., vol. 40, no. 6, pp. 3215–3229, Dec. 2024, doi: 10.1111/jcal.13065. DOI: https://doi.org/10.1111/jcal.13065
    40. K. Chen, A. C. Tallant, and I. Selig, “Exploring generative AI literacy in higher education: Student adoption, interaction, evaluation and ethical perceptions,” Inf. Learn. Sci., vol. 126, no. 1/2, pp. 132–148, Feb. 2025, doi: 10.1108/ILS-10-2023-0160. DOI: https://doi.org/10.1108/ILS-10-2023-0160
    41. C. Chauhan and G. Currie, “The impact of generative artificial intelligence on the external review of scientific manuscripts and editorial peer review processes,” Am. J. Pathol., vol. 194, no. 10, pp. 1802–1806, Oct. 2024, doi: 10.1016/j.ajpath.2024.08.002. DOI: https://doi.org/10.1016/j.ajpath.2024.08.002
    42. C. K. Tiwari, M. A. Bhat, S. T. Khan, R. Subramaniam, and M. A. I. Khan, “What drives students toward ChatGPT? An investigation of the factors influencing adoption and usage of ChatGPT,” Interact. Technol. Smart Educ., vol. 21, no. 3, pp. 333–355, Jul. 2024, doi: 10.1108/ITSE-04-2023-0061. DOI: https://doi.org/10.1108/ITSE-04-2023-0061
    43. I. Pesovski, R. Santos, R. Henriques, and V. Trajkovik, “Generative AI for customizable learning experiences,” Sustainability, vol. 16, no. 7, p. 3034, Apr. 2024, doi: 10.3390/su16073034. DOI: https://doi.org/10.3390/su16073034
    44. L. Kristy, Armitage, and R. Jonathan, “Can you help me? Using others to offload cognition,” Mem. Cognit., vol. 53, no. 3, pp. 946–959, Apr. 2025, doi: 10.3758/s13421-024-01621-9. DOI: https://doi.org/10.3758/s13421-024-01621-9
    45. G. Sorkos, C. Hajisoteriou, and P. Angelides, “Students’ agency for critical interculturalism: from intercultural responsibility to informal leadership,” Oxford Rev. Educ., vol. 51, no. 1, pp. 109–128, Jan. 2025, doi: 10.1080/03054985.2023.2296091. DOI: https://doi.org/10.1080/03054985.2023.2296091
    46. C. Vieira, A. J. Magana, A. Roy, and M. Falk, “Providing students with agency to self-scaffold in a computational science and engineering course,” J. Comput. High. Educ., vol. 33, no. 2, pp. 328–366, Aug. 2021, doi: 10.1007/s12528-020-09267-7. DOI: https://doi.org/10.1007/s12528-020-09267-7
    47. Z. Hossain, M. S. Biswas, and G. Khan, “AI literacy of library and information science students: A study of Bangladesh, India and Pakistan,” J. Librariansh. Inf. Sci., Jan. 2025, doi: 10.1177/09610006241309323. DOI: https://doi.org/10.1177/09610006241309323
    48. D.-O. Won, Y. K. Shin, H.-J. Kim, and I. W. Yoo, “Advancing language assessment with GPT: Is it nonnative-language friendly?,” Lang. Assess. Q., vol. 22, no. 1, pp. 1–28, Jan. 2025, doi: 10.1080/15434303.2024.2444349. DOI: https://doi.org/10.1080/15434303.2024.2444349
    49. S. Shailendra, R. Kadel, and A. Sharma, “Framework for adoption of Generative Artificial Intelligence (GenAI) in education,” IEEE Trans. Educ., vol. 67, no. 5, pp. 777–785, Oct. 2024, doi: 10.1109/TE.2024.3432101. DOI: https://doi.org/10.1109/TE.2024.3432101
    50. D. A. Kurniawan, A. Astalini, D. Darmaji, T. Tanti, and S. Maryani, “Innovative learning: Gender perception of e-module linear equations in mathematics and physics,” Indonesian Journal on Learning and Advanced Education (IJOLAE), vol. 4, no. 2, pp, 92-106, 2022, doi: 10.23917/ijolae.v4i2.16610. DOI: https://doi.org/10.23917/ijolae.v4i2.16610
    51. H. Rad, J. Alipour, A. Jafarpour, and M. Hashemian, “Crafting with AI: personalized pathways to boost critical language awareness and spark creativity in writing through digital adaptive learning,” Lang. Aware., pp. 1–27, Nov. 2024, doi: 10.1080/09658416.2024.2431071. DOI: https://doi.org/10.1080/09658416.2024.2431071
    52. T. Tanti, D. Deliza, and S. Hartina, “The effectiveness of using smartphones as mobile-mini labs in improving students’ beliefs in physics,” JIPF (Jurnal Ilmu Pendidikan Fisika), vol. 9, no. 3, pp. 387-394, 2024, doi: 10.26737/jipf.v9i3.5185. DOI: https://doi.org/10.26737/jipf.v9i3.5185
    53. B. Dinger, S.-E. Byun, and J. Park, “Integrating AI into curricula: project-based learning in digital entrepreneurship,” Int. J. Fash. Des. Technol. Educ., pp. 1–10, Dec. 2024, doi: 10.1080/17543266.2024.2438170. DOI: https://doi.org/10.1080/17543266.2024.2438170
    54. R. E. Cummings, S. M. Monroe, and M. Watkins, “Generative AI in first-year writing: An early analysis of affordances, limitations, and a framework for the future,” Comput. Compos., vol. 71, p. 102827, Mar. 2024, doi: 10.1016/j.compcom.2024.102827. DOI: https://doi.org/10.1016/j.compcom.2024.102827
    55. L. I. Ruiz-Rojas, L. Salvador-Ullauri, and P. Acosta-Vargas, “Collaborative working and critical thinking: Adoption of Generative Artificial Intelligence tools in higher education,” Sustainability, vol. 16, no. 13, p. 5367, Jun. 2024, doi: 10.3390/su16135367. DOI: https://doi.org/10.3390/su16135367
    56. C. Zhai, S. Wibowo, and L. D. Li, “The effects of over-reliance on AI dialogue systems on students’ cognitive abilities: a systematic review,” Smart Learn. Environ., vol. 11, no. 1, p. 28, Jun. 2024, doi: 10.1186/s40561-024-00316-7. DOI: https://doi.org/10.1186/s40561-024-00316-7
    57. R. M. Davison et al., “The ethics of using generative AI for qualitative data analysis,” Inf. Syst. J., vol. 34, no. 5, pp. 1433–1439, Sep. 2024, doi: 10.1111/isj.12504. DOI: https://doi.org/10.1111/isj.12504
    58. J. Peter, Denning, and J. Arquilla, “The context problem in artificial intelligence,” Commun. ACM, vol. 65, no. 12, pp. 18–21, Dec. 2022, doi: 10.1145/3567605. DOI: https://doi.org/10.1145/3567605
    59. F. S. Aljabr and A. A. M. H. Al-Ahdal, “Ethical and pedagogical implications of AI in language education: An empirical study at Ha’il University,” Acta Psychol. (Amst)., vol. 251, p. 104605, Nov. 2024, doi: 10.1016/j.actpsy.2024.104605. DOI: https://doi.org/10.1016/j.actpsy.2024.104605
    60. M. Saritepeci and H. Durak, “Effectiveness of artificial intelligence integration in design-based learning on design thinking mindset, creative and reflective thinking skills: An experimental study,” Educ. Inf. Technol., vol. 29, no. 18, pp. 25175–25209, Dec. 2024, doi: 10.1007/s10639-024-12829-2. DOI: https://doi.org/10.1007/s10639-024-12829-2