Enhancing IELTS Speaking Preparation: The Development of a Self-Paced Learning Model Integrating Edpuzzle and Authentic Materials

Authors

  • Kurnihayati Kurnihayati Universitas Sindang Kasih Majalengka
  • Endang Siti Nurkholidah Universitas Sindang Kasih Majalengka
  • Affan Phatthanawiwat Thammasat University

DOI:

https://doi.org/10.58418/ijeqqr.v5i1.200

Keywords:

Authentic Materials, Computer-Assisted Language Learning, Edpuzzle, IELTS speaking, Self-Paced Learning Model

Abstract

High-stakes oral language assessments often present significant challenges for English as a Foreign Language (EFL) learners due to a lack of autonomous, context-rich speaking environments that support spontaneous lexical and grammatical development. To address this limitation, the present study developed and evaluated a self-paced learning model that integrates the Edpuzzle platform with authentic instructional materials specifically designed for International English Language Testing System (IELTS) Speaking test preparation. Operating within a Research and Development (R&D) design, this project applied the 4D framework across its four successive phases of define, design, develop, and disseminate to pilot the model with ten English Education majors from three Indonesian universities. Empirical data were collected and triangulated using evaluation questionnaires, semi-structured interviews, and asynchronous user engagement logs extracted directly from the platform. The findings demonstrated noticeable performance enhancements across key evaluation criteria. Quantitative assessments indicated highly favorable participant reception regarding pronunciation tasks (M = 4.8) and contextual real-world relevance (M = 4.7), whereas real-time grammatical accuracy presented a moderate ongoing challenge for learners (M = 3.0). Qualitative responses corroborated these trends, revealing that the interactive multimedia architecture reinforced learner autonomy and reflective language use, which mitigated minor technical glitches and dialectal challenges. Conceptually, this research bridges a critical gap by shifting technology-mediated authentic learning out of traditional teacher-centered classrooms into a fully self-directed environment. Practically, it offers an accessible, scalable pedagogical framework for autonomous test preparation, thereby advancing multimedia instructional design within global EFL frameworks.

References

Ahmad, M. O. (2024). A Deep Dive into Self-Regulated Learning: Reflective Diaries Role and Implementation Strategies. Communications of the Association for Information Systems, 54, 868–888. https://doi.org/10.17705/1CAIS.05432

Akram, H., & Abdelrady, A. H. (2023). Application of ClassPoint tool in reducing EFL learners’ test anxiety: an empirical evidence from Saudi Arabia. Journal of Computers in Education, 10(3), 529–547. https://doi.org/10.1007/s40692-023-00265-z

Alam, S. (2025). Effects of Multimedia Inputs on Improving the Grammatical Accuracy of Students’ Speaking Skills: An Experimental Study. Theory and Practice in Language Studies, 15(5), 1579–1590. https://doi.org/10.17507/tpls.1505.23

Alamri, W. (2025). Evaluating the benefits and challenges of using authentic materials in EFL context for listening purpose. Frontiers in Education, 10, 1611308. https://doi.org/10.3389/feduc.2025.1611308

Asratie, M. G., Wale, B. D., & Aylet, Y. T. (2023). Effects of using educational technology tools to enhance EFL students’ speaking performance. Education and Information Technologies, 28(8), 10031–10051. https://doi.org/10.1007/s10639-022-11562-y

Blhaj, K. M. S., Dhameria, V., & Muazeib, A. I. M. (2025). The Role of Telemedicine in Digital Transformation Based on Patient Perceptions of Healthcare Accessibility and Efficiency. International Journal of Nursing Information, 4(1), 10–20. https://doi.org/10.58418/ijni.v4i1.131

Bogach, N., Boitsova, E., Chernonog, S., Lamtev, A., Lesnichaya, M., Lezhenin, I., Novopashenny, A., Svechnikov, R., Tsikach, D., Vasiliev, K., Pyshkin, E., & Blake, J. (2021). Speech Processing for Language Learning: A Practical Approach to Computer-Assisted Pronunciation Teaching. Electronics, 10(3), 235. https://doi.org/10.3390/electronics10030235

Coney, N., & Isbell, D. R. (2026). A survey of English language proficiency tests in international student admissions at US research-intensive universities. Language Testing, 43(2), 233–252. https://doi.org/10.1177/02655322251348617

Csapó, B., & Molnár, G. (2019). Online Diagnostic Assessment in Support of Personalized Teaching and Learning: The eDia System. Frontiers in Psychology, 10. https://doi.org/10.3389/fpsyg.2019.01522

Darmawansah, D., Hwang, G.-J., Lin, C.-J., & Febiyani, F. (2025). An artificial intelligence-supported GFCA learning model to enhance L2 students’ role-play performance, English speaking and interaction mindset. Educational Technology Research and Development, 73(3), 1451–1479. https://doi.org/10.1007/s11423-025-10453-6

Dmitrenko, N., & Panchenko, V. (2025). Integrating Interactive and Mobile Learning Technologies in Pre-Service EFL Teacher Education. International Journal of Interactive Mobile Technologies (IJIM), 19(17), 129–150. https://doi.org/10.3991/ijim.v19i17.54477

Du, R., & Salaets, H. (2026). Collaborative learning in interpreting: A collaborative cognitive load theory approach. Across Languages and Cultures, 27(1), 17–36. https://doi.org/10.1556/084.2025.01063

Ferrari, F. (2023). Skills mismatch and change confidence: the impact of training on change recipients’ self-efficacy. European Journal of Training and Development, 47(10), 69–90. https://doi.org/10.1108/EJTD-06-2021-0072

Gkintoni, E., Antonopoulou, H., Sortwell, A., & Halkiopoulos, C. (2025). Challenging Cognitive Load Theory: The Role of Educational Neuroscience and Artificial Intelligence in Redefining Learning Efficacy. Brain Sciences, 15(2), 203. https://doi.org/10.3390/brainsci15020203

Gómez-Carmona, O., Buján-Carballal, D., Casado-Mansilla, D., López-de-Ipiña, D., Cano-Benito, J., Cimmino, A., Poveda-Villalón, M., García-Castro, R., Almela-Miralles, J., Apostolidis, D., Drosou, A., Tzovaras, D., Wagner, M., Guadalupe-Rodriguez, M., Salinas, D., Esteller, D., Riera-Rovira, M., González, A., Clavijo-Ágreda, J., … Bujalkova, N. (2023). Mind the gap: The AURORAL ecosystem for the digital transformation of smart communities and rural areas. Technology in Society, 74, 102304. https://doi.org/10.1016/j.techsoc.2023.102304

Hu, A., Liu, Q., & Daniel, B. (2025). Digital Technologies in Authentic Assessment in Higher Education: A Systematic Literature Review and Narrative Synthesis. SAGE Open, 15(3). https://doi.org/10.1177/21582440251357198

Hussain, T., Wilany, E., Putri, A., Ria, T. N., & Manuhutu, N. (2025). Technology-Driven Interaction and English Language Learning Outcomes: The Mediating Effects of Engagement and Motivation. International Journal of Educational Qualitative Quantitative Research, 4(2), 1–15. https://doi.org/10.58418/ijeqqr.v4i2.161

Kakitani, J. (2025). Oral task repetition research via videoconferencing. Research Methods in Applied Linguistics, 4(3), 100232. https://doi.org/10.1016/j.rmal.2025.100232

Kharroubi, S., & ElMediouni, A. (2024). Conceptual Review: Cultivating Learner Autonomy Through Self-Directed Learning & Self-Regulated Learning: A Socio-Constructivist Exploration. International Journal of Language and Literary Studies, 6(2), 276–296. https://doi.org/10.36892/ijlls.v6i2.1649

Kolapo, P., Ogunsola, N. O., Komolafe, K., & Omole, D. D. (2025). Envisioning Human–Machine Relationship Towards Mining of the Future: An Overview. Mining, 5(1), 5. https://doi.org/10.3390/mining5010005

Kuluşaklı, E., & Genç, G. (2024). L2 communication apprehension and communicative competence of pre-service English teachers. Heliyon, 10(16), e32587. https://doi.org/10.1016/j.heliyon.2024.e32587

Lestari, M. I., Megawati, F., Agustina, S., & Tappha, Y. (2023). Experiencing EdPuzzle-based Listening Activity: Do the EFL students feel satisfied? Journal of English Teaching, Literature, and Applied Linguistics, 7(2), 32. https://doi.org/10.30587/jetlal.v7i2.5820

Liu, M., Hashim, H., & Sulaiman, N. A. (2026). Longitudinal development of L2 speaking accuracy in AI-enhanced smart class: evidence from an error-annotated learner corpus. System, 140, 104048. https://doi.org/10.1016/j.system.2026.104048

Ma, Y. (2022). The triarchy of L2 learners’ emotion, cognition, and language performance: Anxiety, self-efficacy, and speaking skill in lights of the emerging theories in SLA. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.1002492

Mahdi, D. A. (2022). Improving Speaking and Presentation Skills through Interactive Multimedia Environment for Non-Native Speakers of English. Sage Open, 12(1). https://doi.org/10.1177/21582440221079811

Marougkas, A., Troussas, C., Krouska, A., & Sgouropoulou, C. (2023). Virtual Reality in Education: A Review of Learning Theories, Approaches and Methodologies for the Last Decade. Electronics, 12(13), 2832. https://doi.org/10.3390/electronics12132832

Maryam, Z., Rehman, A. U., Nawal, A., Shoaib, M., & Ullah, I. (2025). Examining the relationship between IELTS preparation and English language proficiency skills of international students. Journal of International Students, 15(8), 95–120. https://doi.org/10.32674/rv7pqq16

Mayer, R. E. (2024). The Past, Present, and Future of the Cognitive Theory of Multimedia Learning. Educational Psychology Review, 36(1), 8. https://doi.org/10.1007/s10648-023-09842-1

Mekheimer, M. (2025). Technological self-efficacy, motivation, and contextual factors in advanced EFL e-learning: a mixed-methods study of strategy use and satisfaction. Humanities and Social Sciences Communications, 12(1), 677. https://doi.org/10.1057/s41599-025-04947-0

Nieminen, J. H., Bearman, M., & Ajjawi, R. (2023). Designing the digital in authentic assessment: is it fit for purpose? Assessment & Evaluation in Higher Education, 48(4), 529–543. https://doi.org/10.1080/02602938.2022.2089627

Nikolopoulou, K. (2023). Self-Regulated and Mobile-Mediated Learning in Blended Tertiary Education Environments: Student Insights from a Pilot Study. Sustainability, 15(16), 12284. https://doi.org/10.3390/su151612284

Nurdiana, N., Roswati, R., Afrizal, A., Gusmuliana, P., & Dermawan, R. (2025). An Exploration of Self-Directed Learning in Speaking English. Gurindam: Jurnal Bahasa Dan Sastra, 4(2), 80. https://doi.org/10.24014/gjbs.v4i2.34273

Ochoa, X. (2022). Multimodal Systems for Automated Oral Presentation Feedback: A Comparative Analysis. In M. Giannakos, D. Spikol, D. Di Mitri, K. Sharma, X. Ochoa, & R. Hammad (Eds.), The Multimodal Learning Analytics Handbook (pp. 53–78). Springer International Publishing. https://doi.org/10.1007/978-3-031-08076-0_3

Octaberlina, L. R., Muslimin, A. I., & Rofiki, I. (2022). An Investigation on the Speaking Constraints and Strategies Used by College Students Studying English as EFL Learners. International Journal of Learning, Teaching and Educational Research, 21(9), 232–249. https://doi.org/10.26803/ijlter.21.9.14

Oshimeje, S., & Flores Barahona, I. D. (2025). Applying Authentic Oral Production to Improve Speaking Fluency Through Project-Based Learning Approach on EFL Students. Ciencia Latina Revista Científica Multidisciplinar, 9(4), 2304–2323. https://doi.org/10.37811/cl_rcm.v9i4.18849

Ostovar-Namaghi, S. A., Morady Moghaddam, M., & Veysmorady, K. (2024). Empowering EFL learners through cognitive apprenticeship: A pathway to success in IELTS speaking proficiency. Language Teaching Research, 1–29. https://doi.org/10.1177/13621688241227896

Parveen, N. (2025). Evidence-Based Practices of Cognitive Load Management to Enhance Learning. Psychological Studies, 70(2), 374–386. https://doi.org/10.1007/s12646-025-00841-6

Read, J. (2022). Test Review: The International English Language Testing System (IELTS). Language Testing, 39(4), 679–694. https://doi.org/10.1177/02655322221086211

Setiawati, S., Yuliana, Y. G. S., & Ikhsanudin, I. (2025). Improving Students’ Engagement in Listening Activities through Edpuzzle. Lectura : Jurnal Pendidikan, 16(1), 42–53. https://doi.org/10.31849/lectura.v16i1.23344

Song, C., Shin, S.-Y., & Shin, K.-S. (2023). Optimizing Foreign Language Learning in Virtual Reality: A Comprehensive Theoretical Framework Based on Constructivism and Cognitive Load Theory (VR-CCL). Applied Sciences, 13(23), 12557. https://doi.org/10.3390/app132312557

Taye, T., & Mengesha, M. (2024). Identifying and analyzing common English writing challenges among regular undergraduate students. Heliyon, 10(17), e36876. https://doi.org/10.1016/j.heliyon.2024.e36876

Thai, H. B. P., & Nguyen, H. B. (2022). Using authentic materials in teaching speaking to grade 10 students: Teachers’ perceptions and practices. European Journal of Foreign Language Teaching, 6(2), 140–158. https://doi.org/10.46827/ejfl.v6i2.4396

Twabu, K. (2025). Enhancing the cognitive load theory and multimedia learning framework with AI insight. Discover Education, 4(1), 160. https://doi.org/10.1007/s44217-025-00592-6

Udhayachandran, R., & Sreenivasulu, Y. (2025). Exploring Communication Anxiety in English Language Learning through Affective Filter Theory: Evidence from Indian College Students. Journal of Cultural Analysis and Social Change, 10(4), 1694–1709. https://doi.org/10.64753/jcasc.v10i4.3069

Valdivieso, C. C., & Cid, R. I. R. (2025). Exploring EFL Instructors’ Strategies and challenges for learners Autonomy and Self-regulation in blended learning contexts in Chile. Ciencia y Reflexión, 4(2), 2468–2491. https://doi.org/10.70747/cr.v4i2.419

Wilang, J. D., Kitjaroonchai, N., & Seepho, S. (2026). Reading assistant software and its impact on speaking fluency, grammar accuracy, and narrative quality among EFL learners. Frontiers in Education, 11, 1754473. https://doi.org/10.3389/feduc.2026.1754473

Wong, J. M. S., & Li, K. C. (2025). Technology-Enabled Institutional Readiness for Agile-Blended Learning: A Framework for Educational Innovation. SN Computer Science, 6(3), 279. https://doi.org/10.1007/s42979-025-03822-8

Zahara, N. E. Z. N. E. (2025). Using Edpuzzle interactive video to enhance listening skills. ELT Forum: Journal of English Language Teaching, 14(Special Issue), 334–344.

Zhang, Y., & Dong, C. (2024). Unveiling the Dynamic Mechanisms of Generative AI in English Language Learning: A Hybrid Study Based on fsQCA and System Dynamics. Behavioral Sciences, 14(11), 1015. https://doi.org/10.3390/bs14111015

Zhao, Y., & Yang, Z. (2024). Research on collaborative innovation optimization strategies for digitally enabled higher education ecosystems. PLOS ONE, 19(4), e0302285. https://doi.org/10.1371/journal.pone.0302285

Zhuang, T., & Liu, B. (2022). Sustaining Higher Education Quality by Building an Educational Innovation Ecosystem in China—Policies, Implementations and Effects. Sustainability, 14(13), 7568. https://doi.org/10.3390/su14137568

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Published

2026-07-04

How to Cite

Kurnihayati, K., Nurkholidah, E. S., & Phatthanawiwat, A. (2026). Enhancing IELTS Speaking Preparation: The Development of a Self-Paced Learning Model Integrating Edpuzzle and Authentic Materials. International Journal of Educational Qualitative Quantitative Research, 5(1), 81–91. https://doi.org/10.58418/ijeqqr.v5i1.200

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