Algorithm-enhanced English grammar learning: A structured module development approach

Muh Shofiyuddin, Sutama Sutama, Harun Joko Prayitno

Abstract


Grammar is an essential competence for effective communication, yet many students have difficulties to understand and master it. This study aims to develop a comprehensive learning module integrating algorithm principles with English grammar to enhance students' grasp of English structure by following a systematic approach encompassing Analysis, Design, Development, Implementation, and Evaluation (ADDIE) but limited to the implementation stage only. The novelty lies on the implementation of algorithm principle used to enhance students’ grammar mastery. In this case, English structures are learned through automatic patterns to make them easier in mastering. Participants included students from English Education Department at three different universities in Central Java with diverse educational backgrounds while the product was implemented (limited test) at one of the universities. A thorough needs analysis revealed that students found that grammar learning was complex and challenging, necessitating simpler, more engaging instructional methods. In response, a targeted product was developed based on these insights. The validation indicated a positive reception of the module, with 66% as "Good," 17% as "Average," and 16% as "Very Good," with no evaluation falling into the "Poor" or "Unsatisfactory" categories. These findings suggest that the module is a viable tool for enhancing grammar instruction. Besides, the implementation gained p-value=0,004 that meant having significance in using the module. The study not only contributes to the pedagogical framework for teaching English grammar but also highlights the importance of innovative approaches in language education. Further research could explore the long-term impacts of such modules in various learning contexts.

Keywords


algorithm principles; english structure; grammar-algorithm; learning module; module development

References


Ahmad, D. & Arifin, M. A. (2021). Exploring student achievement and perceptions in an online flipped grammar course. Indonesian Journal of Applied Linguistics, 10(3), 639-655. https://doi.org/10.17509/ijal.v10i3.31750

Akyildiz, I.F., et al. (2002). Optimization Algorithms for Resource Allocation in Wireless Sensor Networks. IEEE Transactions on Wireless Communications. https://doi.org/10.1109/TWC.2002.804190

Anggraini, N., Arianto, P., & Hidayanto, H. N. (2020). Pengembangan Online Application Berbasis Android Dalam Pembelajaran Grammar. Widya Wacana: Jurnal Ilmiah, 15(2), 117–125.

Anggraini, R. T., & Santhoso, F. H. (2019). Hubungan antara Gaya Hidup Hedonis dengan Perilaku Konsumtif pada Remaja. Gadjah Mada Journal of Psychology (GamaJoP), 3(3), 131. https://doi.org/10.22146/gamajop.44104

Araujo, T., Helberger, N., Kruikemeier, S., de Vreese, C. . (2020). In AI we trust? Perceptions about automated decision-making by artificial intelligence. AI Soc., 35, 611–623.

Bafadal, M. F., & Muslimin, M. (2020). An Analysis of Students’ Speaking Ability on Specific Purpose of Learning. Linguistics And ELT Journal, 7(1), 23–40.

Barzegar, R., & Azarizad, R. (2014). Using Dynamic Assessment to Improve L2 Learners’ Knowledge of Grammar: Evidence from the Tenses. Heidelberg: Springer. https://doi.org/10.1007/978-3-319-00188-3_14.

Bhattacharyya, S., et al. (2020). A Comprehensive Survey on Machine Learning for Cybersecurity. ACM Computing Surveys. https://doi.org/10.1145/3376288

Bialystok, E. (2021). The relationship between language and cognitive development in bilingual children. International Journal of Bilingual Education and Bilingualism, 24(2), 194–209. https://doi.org/10.1080/13670050.2020.1771968

Borg, W, R., Gall, M, D. (1983). Educational research an introduction (Ed. 4). In New York: Longman.

Branch, R. M. (2009). Instructional design: The ADDIE approach. In Springer Science & Business Media.

Brown, K., et al. (2019). Algorithmic Literacy and its Effects on Digital Citizenship among Adolescents. Journal of Adolescent Research. https://doi.org/doi: 10.1177/0743558418786366

Brown, H. D. (2021). Principles of Language Learning and Teaching. Pearson.

Castillo-Cuesta, L. (2020). Using Digital Games for Enhancing EFL Grammar and Vocabulary in Higher Education. International Journal of Emerging Technologies in Learning (Ijet), 15(20), 116–129.

Celce-Murcia, M., & Larsen-Freeman, D. (2019). The Grammar Book: An ESL/EFL Teacher’s Course. Cengage Learning.

Chen, X., et al. (2017). The Benefits and Drawbacks of Swarm Intelligence Algorithms in Optimization. Swarm and Evolutionary Computation. https://doi.org/doi: 10.1016/j.swevo.2017.07.004

Chen, Y., & Wang, J. (2022). The role of iterative feedback in instructional design. Educational Technology Research and Development, 70(1), 55–72. https://doi.org/https://doi.org/10.1007/s11423-021-10097-9

Chen, Y., Zhang, L., & Liu, H. (2019). The application of algorithm principles in the design of mathematics learning materials. Journal of Mathematics Education Research, 25(3), 321–335.

Cheung, C. K. (2016). Media Literacy Education in China. Singapore: Springer. https://doi.org/https://doi.org/10.1007/978-981-10-0045-4

Daneshfar, S., Aliasin, S. H., & Hashemi, A. (2018). The effect of dynamic assessment on grammar achievement of Iranian third grade secondary school EFL learners. Theory and Practice in Language Studies, 8(3), 295–305.

Dick, W., Carey, L., & Carey, J. O. (2014). The systematic design of instruction. Pearson Higher Ed.

Effendi, M. S., Rokhyati, U., Rachman, U.A.M. Rakhmawati, D. A., & Peritwi, D. (2017). A study on grammar teaching at an English education department in an EFL context. International Journal on Studies in English Language and Literature (IJSELL), 5(1), 42–4642–46.

Ellis, R. (2020). Understanding Second Language Acquisition: A summary of theory and practice. Language Teaching Research, 24(1), 8–27. https://doi.org/https://doi.org/10.1177/1362168818781482

Fakhruddin, A., & Nurhidayat, E. (2020). Students’perception On Quizziz as Game Based Learning in Learning Grammar In Writen Discourse. Wiralodra English Journal, 4(2), 28–38.

Garcia, A., et al. (2021). Effects of Algorithmic Problem-Solving Modules on Cognitive Skills Development in Programming Education. Computer Science Education. https://doi.org/doi: 10.1080/08993408.2018.153571820

Garrison, D. R., & Anderson, T. (2021). Effects of Algorithmic Bias Awareness Training on Critical Thinking in Computer Science Education. Computers & Education. https://doi.org/doi: 10.1016/j.compedu.2020.103992

Gillespie, T. (2014). The Relevance of Algorithms. In and K. F. Tarleton Gillespie, Pablo Boczkowski (Ed.), Essays on Communication (pp. pp167-194 in Media Technologies). Materiality and Society ed.

Graham, S., Harris, K. R., & Mason, L. H. (2021). (2021). Evidence-based practices in writing instruction: A comprehensive review of the research. Review of Educational Research, 91(2), 181–223. https://doi.org/https://doi.org/10.3102/0034654321990563

Gustafson, K. L., & Branch, R. M. (2002). Survey of instructional development models (4th ed.). ERIC Clearinghouse on Information & Technology.

Hampp, P. L., Kumayas, T. A., & Lengkoan, F. (2021). Synthesizing Grammar and Structure Problems Faced by Indonesian TOEFL Participants. Jurnal Pendidikan Bahasa Inggris Undiksha, 9(1), 64. https://doi.org/https://doi.org/https://doi.org/10.23887/jpbi.v9i1.33811

Handayani, N. D., & Johan, M. (2018). Problem faced in the grammar of EFL students. Open Journal System: Khasana Ilmu Berazam, 1(2), 33–41.

Harman, K., Koohang, A., Paliszkiewicz, J., & Suh, S. (2021). Designing and evaluating adaptive learning modules for online education. Interactive Learning Environments, 29(8), 1037–1053.

Hasson, N., & Botting, N. (2010). Dynamic assessment of children with language impairments: A pilot study. Child Language Teaching and Therapy, 26(3), 249–272.

Hattie, J. (2020). Visible Learning: Feedback. Routledge.

Heffernan, A. (2023). Algorithmic Thinking in Education: Foundations and Practices. Educational Research Review.

Huang, S.-B., Jeng, Y.-L., & Lai, C.-F. (2021). Note-Taking Learning System: The Use of the Learning Style Theory and the Peer Learning Method on Computer Programming Course. Journal of Educational Computing Research, 59(5), 870–895. https://doi.org/https://doi.org/10.1177/0735633120985235

Johnson, R., & Smith, L. (2020). The Impact of Algorithmic Thinking on Problem-Solving Skills in Mathematics Education. International Journal of STEM Education. https://doi.org/doi: 10.1186/s40594-020-00221-4

Khanahmadi, F., & Sarkhosh, M. (2018). Teacher-vs. Peer-mediated learning of grammar through dynamic assessment: A sociocultural perspective. International Journal of Instruction, 11(4), 207–222.

Kim, E., et al. (2020). Algorithmic Personalization and its Influence on User Understanding of Online Content. Information Processing & Management. https://doi.org/doi: 10.1016/j.ipm.2020.102411

Kumayas, T. A., & Lengkoan, F. (2023). (2023). The Challenges of Teaching Grammar at the University Level: Learning From the Experience of English Lecturer. Clue Journal of English, Culture, Language, Literature,and Education, 11(1), 98–105.

Kuo, Y.C., Walker, A.E., Schroder, K.E., Belland, B. R. (2023). Designing learning modules: A review of recent literature. Educational Technology Research and Development, 71(3), 1465–1487.

Lee, H., & Park, S. (2018). The Influence of Algorithmic Trading Simulations on Financial Literacy and Decision Making. Journal of Financial Education. https://doi.org/doi: 10.2308/JFE.2018.36.1.147

Lin, Y., & Li, J. (2023). Algorithmic Thinking in Language Learning: A New Paradigm. Educational Technology Research and Development, 71(3, 765–780. https://doi.org/https://doi.org/10.1007/s11423-023-10192-9

Litjens, G., et al. (2017). Deep Learning Algorithms for Medical Image Analysis in Radiology. IEEE Transactions on Medical Imaging. https://doi.org/doi: 10.1109/TMI.2017.2764665

Liu, M., et al. (2021). The Influence of Algorithmic Recommendation Systems on Learning Engagement and Knowledge Acquisition. Computers in Human Behavior. https://doi.org/doi: 10.1016/j.chb.2021.106846

M. Wise. (2018). Langsung Bisa & Mahir Jago Grammar. Jakarta: Ilmu Cemerlang Group.

Mayer, R. E. (2020). Multimedia Learning. Cambridge University Press.

Mnih, V., et al. (2015). Deep Learning for Video Game Playing: A Review. Journal of Artificial Intelligence Research. https://doi.org/doi: 10.1613/jair.4992

Mohammadimoghadam, M. (2015). Effects of Mediation on An EFL Learner’s Grammar Development: A Case Study of An EFL Beginner Student. Procedia-Social and Behavioral Sciences, 192, 101–106.

Morrison, G. R., Ross, S. M., Kemp, J. E., & Kalman, H. K. (2019). Designing effective instruction (8th ed.) (J. W. & Sons (ed.)).

Nan, G., Jianxi, S., & Dongmei, L. (2018). On the advantages of computer multimedia-aided English teaching. Procedia Computer Science, 131(2018), 727–732.

Napratilora, M., & Siagian, S. Y. (2019). Tenses Understanding in Using the English Language. EJI (English Journal of Indragiri): Studies in Education, Literature, and Linguistics, 3(1), 29–38.

Nashoih, A. K., & Darmawan, M. F. (2019). Pengembangan Bahan Ajar Nahwu Berbasis Kontrastif Untuk Mengatasi Interferensi Bahasa Indonesia Terhadap Bahasa Arab. Arabiyatuna : Jurnal Bahasa Arab, 3(2), 335.

Nassaji, H. (2020). Good Qualitative Research. 25, 427-431. https://doi.org/https://doi.org/10.1177/1362168820941288

Nguyen, T., Smith, R., & Lee, K. (2018). The effectiveness of algorithm-based instruction in foreign language learning. International Journal of Language Studies, 12(2), 45–58.

Nicol, D. J., & Macfarlane-Dick, D. (2006). Formative assessment and self-regulated learning: A model and seven principles of good feedback practice. Studies in Higher Education, 31(2), 199–218. https://doi.org/https://doi.org/10.1080/03075070600572090

Nurhidayati, N., & Kustini, S. (2020). Pengembangan bahan ajar bahasa Inggris berbasis Keterampilan abad 21 pada perguruan tinggi vokasi: Sebuah kajian literatur di National Conference on Asbis. Politeknik Negeri Banjarmasin.

Prechelt, L. (1997). Evolutionary Algorithms in Neural Networks Training: A Survey. Neural Processing Letters. https://doi.org/doi: 10.1023/A:1018672927947

Putra, D., & Dewi, S. (2019). Algorithm-Based Learning in Computer Science Courses. Journal of Computer Science Education, 14(2), 89–102.

Rahman, B. A. (2017). Implementation of Algorithm in Interactive Learning of Mathematics. Journal of Mathematics Education Research, 10(2), 123–135.

Rohmah, H. (2023). An Analysis of English Grammar in the Perspective of Nahwu. JALL (Journal of Applied Linguistics and Literacy), 7(1), 55. https://doi.org/10.25157/jall.v7i1.9273

Saeys, Y., et al. (2007). Genetic Algorithms for Feature Selection in Bioinformatics. IEEE/ACM Transactions on Computational Biology and Bioinformatics. https://doi.org/doi: 10.1109/TCBB.2007.70206

Salleh, F. H. M., Drus, S. M., Gunasekaran, S. S., & Dewi, D. A. (2021). Evaluating the Effectiveness of Course Assessments Method in Determining Student’s Competency Level in Programming. Journal of Physics: Conference Series, 1878(1)(12067). https://doi.org/https://doi.org/10.1088/1742-6596/1878/1/012067

Shofiyuddin, M., & Andriyani, S. (2019). Model Pembelajaran Tenses Menggunakan Rumus Mathematic English (MatEng). Al-Lisan: Jurnal Bahasa (e-Journal), 4(2), 212–222. https://doi.org/https://journal.iaingorontalo.ac.id/index.php/al/article/view/851

Smith, J., & Taylor, D. (2016). The Impact of Algorithmic Tutoring Systems on Learning Outcomes in STEM Education. Journal of Educational Computing Research. https://doi.org/doi: 10.1177/0735633116630875

Smith, A. (2019). Modern Approaches to Teaching English Grammar Structures: Emphasizing Communication Skills and Global Context. International Journal of Language Education, 30(4), 275–288.

So, H.J., Kim, B. (2022). Effects of interactive learning modules on student engagement and learning outcomes: A meta-analysis. Computers & Education, 176(104359).

Stanley, K.O., & Miikkulainen, R. (2002). Using Genetic Algorithms to Optimize Neural Network Architectures. Neural Networks. https://doi.org/doi: 10.1016/S0893-6080(02)00057-5

Suri, M. (2020). Pengajaran Materi Tenses Melalui Metode Students to Students Dan Metode Teacher to Students. Journal Of Education Science, 6(1), 53–59.

Sutton, R.S., & Barto, A. . (1998). Reinforcement Learning: An Introduction. MIT Press. https://doi.org/doi: 10.7551/mitpress/6726.001.0001

Syafryadin. (2021). Teaching Grammar through Visual Illustration for the University Students. PROJECT (Professional Journal of English Education), 4(4), 641–650.

Tambunan, A. R. S., Andayani, W., Sari, W. S. & Lubis. F. K. (2022). Investigating EFL students’ linguistic problems using Grammarly as automated writing evaluation feedback. Indonesian Journal of Applied Linguistics, 12(1), 16-27. https://doi.org/10.17509/ijal.v12i1.46428

Toth, P., & Vigo, D. (2002). Evolutionary Algorithms for Vehicle Routing Problems in Logistics. International Transactions in Operational Research. https://doi.org/doi: 10.1111/1475-3995.00333

Visakha, J. A. (2019). Visakha, J. A. (2019). Pengaruh Penguasaan Kosakata dan Tata Bahasa Terhadap Kemampuan Menulis Teks Deskriptif Bahasa Inggris. INFERENCE: Journal of English Language Teaching, 2(1), 68–79.

Wang, J., et al. (2019). The Effect of Algorithmic News Curation on Media Literacy and Information Processing. Journalism & Mass Communication Quarterly. https://doi.org/doi: 10.1177/1077699019863833

Widianingsih, N. K. A., & Gulo, I. (2016). No Title. Proceeding of the Fourth International Seminar on English Language and Teaching, 4(2), 2.

Wiggins, G., & McTighe, J. (2020). Understanding by Design. ASC.

Yang, D. (2023). Teaching Second Language Learners With Technology: 21(June), 1–283.

Youjun, T., M. X. (2022). Computational thinking: A mediation tool and higher-order thinking for linking EFL grammar knowledge with competency. Thinking Skills and Creativity, 46. https://doi.org/https://doi.org/10.1016/j.tsc.2022.101143

Zareva, A. (2022). Grammar Instruction in the Classroom: Techniques and Outcomes. Journal of Language Teaching Research, 13(1), 55–71. https://doi.org/https://doi.org/10.1177/13621688211032366

Zhang, J., et al. (2018). Machine Learning Algorithms for Predictive Maintenance in Manufacturing. IEEE Transactions on Industrial Informatics. https://doi.org/doi: 10.1109/TII.2017.2741678

Zhang, L. (2023). Challenges in Learning English Grammar: Insights from Chinese Learners. Asian EFL Journal, 25(1), 15–30. https://doi.org/https://doi.org/10.5555/aefo.1234567

Zhou, M., & Brown, D. (2021). Educational learning theories: 2nd Edition. Journal of Educational Psychology, 113(4), 673–678. https://doi.org/https://doi.org/10.1037/edu0000411




DOI: https://doi.org/10.17509/ijal.v15i1.75803

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