Utilizing the game design factor questionnaire to develop engaging games for adaptive learning in the serious educational game: the Ma'had

Nur Fitriyah Ayu Tunjung Sari, Ririen Kusumawati, Ahmad Fahmi Karami, Miftahul Hikmah Putri Samudera A

Abstract


This study explores the unique mandatory residence, Ma'had Sunan Ampel Al Alyi (MSAA), at the State Islamic University (UIN) Maulana Malik Ibrahim Malang, aiming to develop Quranic reading competence in new students. The varying educational backgrounds of admitted students lead to differences in their Quranic reading capabilities, highlighting the need for adaptive learning. In response to this diversity, adaptive learning using artificial intelligence is employed, implemented through the serious education game "The Ma'had." Survey results from expert individuals using a Game Design Factor Questionnaire reveal the game's substantial potential. The results show high agreement (100%) on clear goals, engaging gameplay, and a sense of freedom, with 67% strongly agreeing on improved understanding. Challenges are motivating, and the game successfully sparks curiosity. "The Ma’had" Game proves effective, but further research is recommended to explore variations in player engagement and compare results with expert test subjects, employing alternative quantitative testing methods for a comprehensive analysis.


Keywords


Ta’lim Al Quran; Adaptive Learning; Serious Education Game; GDFQ

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References


U. Al Faruq, “Program pembelajaran al Qur’an dalam rangka mencetak mahasiswa generasi qur’ani di tengah persaingan global (studi kasus di Ma’had Sunan Ampel al-‘Aly),” Al-Iman J. Keislam. Dan Kemasyarakatan, vol. 4, no. 2, pp. 308–341, 2020.

C. A. Tomlinson et al., “Differentiating Instruction in Response to Student Readiness, Interest, and Learning Profile in Academically Diverse Classrooms: A Review of Literature,” J. Educ. Gift., vol. 27, no. 2–3, pp. 119–145, Dec. 2003, doi: 10.1177/016235320302700203.

E. Gheyssens, C. Coubergs, J. Griful-Freixenet, N. Engels, and K. Struyven, “Differentiated instruction: the diversity of teachers’ philosophy and praxis to adapt teaching to students’ interests, readiness and learning profiles,” Int. J. Incl. Educ., vol. 26, no. 14, pp. 1383–1400, Dec. 2022, doi: 10.1080/13603116.2020.1812739.

J. L. R. Muñoz et al., “Systematic Review of Adaptive Learning Technology for Learning in Higher Education,” Eurasian J. Educ. Res., vol. 98, no. 98, Art. no. 98, Jun. 2022.

C. A. Walkington, “Using adaptive learning technologies to personalize instruction to student interests: The impact of relevant contexts on performance and learning outcomes,” J. Educ. Psychol., vol. 105, no. 4, pp. 932–945, 2013, doi: 10.1037/a0031882.

Associate Professor, Dr KRN Centre for Dalit and Minorities Studies, Jamia Millia Islamia, New Delhi-110025 and Dr. D. Kem, “Personalised and Adaptive Learning: Emerging Learning Platforms in the Era of Digital and Smart Learning,” Int. J. Soc. Sci. Hum. Res., vol. 05, no. 02, Feb. 2022, doi: 10.47191/ijsshr/v5-i2-02.

K. Chrysafiadi, S. Papadimitriou, and M. Virvou, “Cognitive-based adaptive scenarios in educational games using fuzzy reasoning,” Knowl.-Based Syst., vol. 250, p. 109111, Aug. 2022, doi: 10.1016/j.knosys.2022.109111.

V. J. Shute and D. Zapata-Rivera, “Adaptive Educational Systems,” in Adaptive Technologies for Training and Education, A. M. Lesgold and P. J. Durlach, Eds., Cambridge: Cambridge University Press, 2012, pp. 7–27. doi: 10.1017/CBO9781139049580.004.

Prince Sultan University et al., “Fuzzy Multi Criteria Decision Analysis Method for Assessing Security Design Tactics for Web Applications,” Int. J. Intell. Eng. Syst., vol. 13, no. 5, pp. 181–196, Oct. 2020, doi: 10.22266/ijies2020.1031.17.

Amity University, M. Singh, S. Dubey, and Amity University, “Recommendation of Diet to Anaemia Patient on the Basis of Nutrients Using AHP and Fuzzy TOPSIS Approach,” Int. J. Intell. Eng. Syst., vol. 10, no. 4, pp. 100–108, Aug. 2017, doi: 10.22266/ijies2017.0831.11.

Y. M. Arif and H. Nurhayati, “Learning Material Selection for Metaverse-Based Mathematics Pedagogy Media Using Multi-Criteria Recommender System,” Int. J. Intell. Eng. Syst., vol. 15, no. 6, pp. 541–551, Dec. 2022, doi: 10.22266/ijies2022.1231.48.

V. J. Sotos-Martínez, A. Ferriz-Valero, S. García-Martínez, and J. Tortosa-Martínez, “The effects of gamification on the motivation and basic psychological needs of secondary school physical education students,” Phys. Educ. Sport Pedagogy, vol. 0, no. 0, pp. 1–17, 2022, doi: 10.1080/17408989.2022.2039611.

M. Ullah et al., “Serious games in science education: a systematic literature,” Virtual Real. Intell. Hardw., vol. 4, no. 3, pp. 189–209, Jun. 2022, doi: 10.1016/j.vrih.2022.02.001.

Y. Arif et al., “An Artificial Neural Network-Based Finite State Machine for Adaptive Scenario Selection in Serious Game,” Int. J. Intell. Eng. Syst., vol. 16, pp. 488–500, Sep. 2023, doi: 10.22266/ijies2023.1031.42.

J. R. Chapman and P. J. Rich, “Does educational gamification improve students’ motivation? If so, which game elements work best?,” J. Educ. Bus., vol. 93, no. 7, pp. 315–322, Oct. 2018, doi: 10.1080/08832323.2018.1490687.

H. A. Rosyid, M. Palmerlee, and K. Chen, “Deploying learning materials to game content for serious education game development: A case study,” Entertain. Comput., vol. 26, pp. 1–9, 2018.

H. Nurhayati and Y. M. Arif, “Math-VR: Mathematics Serious Game for Madrasah Students using Combination of Virtual Reality and Ambient Intelligence,” Int. J. Adv. Comput. Sci. Appl., vol. 14, no. 5, 2023, doi: 10.14569/IJACSA.2023.0140524.

A. Min, H. Min, and S. Kim, “Effectiveness of serious games in nurse education: A systematic review,” Nurse Educ. Today, vol. 108, p. 105178, Jan. 2022, doi: 10.1016/j.nedt.2021.105178.

P. Wouters, C. Van Nimwegen, H. Van Oostendorp, and E. D. Van Der Spek, “A meta-analysis of the cognitive and motivational effects of serious games.,” J. Educ. Psychol., vol. 105, no. 2, p. 249, 2013.

S. W. Harahap, A. A. Ritonga, A. Darlis, and H. Harahap, “Analisis Konsep Tarbiyah Ta’lim dan Ta’dib dalam Perspektif Tafsir Al-Qur’an,” Instr. Dev. J., vol. 5, no. 3, pp. 201–208.

S. Vanbecelaere, K. Van Den Berghe, F. Cornillie, D. Sasanguie, B. Reynvoet, and F. Depaepe, “The effectiveness of adaptive versus non‐adaptive learning with digital educational games,” J. Comput. Assist. Learn., vol. 36, no. 4, pp. 502–513, Aug. 2020, doi: 10.1111/jcal.12416.

D. L. Taylor, M. Yeung, and A. Z. Bashet, “Personalized and adaptive learning,” Innov. Learn. Environ. STEM High. Educ. Oppor. Chall. Look. Forw., pp. 17–34, 2021.

C. K. Mohd, C. K. Nuraini, S. N. M. Mohamad, H. Sulaiman, F. Shahbodin, and N. Rahim, “A Review of Gamification Tools to Boost Students’motivation and Engagement,” J. Theor. Appl. Inf. Technol., vol. 101, no. 7, 2023.

Y.-R. Shi and J.-L. Shih, “Game factors and game-based learning design model,” Int. J. Comput. Games Technol., vol. 2015, pp. 11–11, 2015.

K. Widhiyanti, K. Dewangga, and F. Almukhtar, “Game Design Factor Questionerin User Experience Analysis on Selera Nusantara Game,” Indones. J. Inf. Syst., vol. 4, no. 2, 2022, Accessed: Nov. 09, 2023. [Online]. Available: https://ojs.uajy.ac.id/index.php/IJIS/article/view/5449




DOI: https://doi.org/10.31315/opsi.v17i1.11322

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