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IMPLEMENTING DIFFERENTIATED INSTRUCTION IN INDONESIAN SECONDARY SCHOOLS: OPPORTUNITIES AND CHALLENGES FROM LANGUAGE TEACHERS Tundreng, Syarifuddin; Yawan, Hendri; Marhamah, Marhamah
English Review: Journal of English Education Vol. 13 No. 1 (2025)
Publisher : University of Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/erjee.v13i1.10741

Abstract

The implementation of differentiated instruction (DI) is significant, as Indonesia's new curriculum emphasizes its role in enhancing student learning outcomes and accommodating diverse learning needs. This study employs a qualitative case study approach to explore the teachers’ understanding, benefits and challenges in implementing Di within language classroom. The research involved five teachers from three public secondary schools in Indonesia, all with a minimum of five years of teaching experience. Data collection encompassed multiple ways, including semi-structured interviews, classroom observations, and document analysis, following a thematic analysis framework. Findings revealed that while teachers recognized the benefits of DI in fostering student engagement and catering to diverse learning needs, they faced challenges such as time constraints for preparation, varying levels of student responsiveness, and difficulties in obtaining parental support, which hindered the overall effectiveness of instruction. This research contributes to the discourse on DI in education by highlighting practical insights for enhancing teaching practices and addressing the complexities involved in meeting diverse student needs.
Designing an AI-Integrated LMS: EFL Teachers’ Views on Affordances and Challenges Yawan, Hendri; Abin, Rais; Marhamah; Maharani, Puan
JLE: Journal of Literate of English Education Study Program Vol 6 No 1 (2025): Volume 6 Number 1 July 2025
Publisher : Universitas Islam Ahmad Dahlan (UIAD)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47435/jle.v6i1.3867

Abstract

The integration of generative artificial intelligence (GenAI) into English as a Foreign Language (EFL) learning is an emerging area of inquiry, particularly in contexts undergoing curriculum reform. This study explores how embedding ChatGPT into a Learning Management System (LMS) can support secondary EFL teachers’ instructional practices. Despite national efforts to improve digital infrastructure and pedagogical innovation, many EFL teachers still struggle with effectively using LMS platforms for language instruction. The study adopted a Design-Based Research (DBR) guided by the Software Development Life Cycle (SDLC) Waterfall model, to design, implement, and evaluate an AI-integrated LMS. Data were collected through surveys, interviews, and user walkthroughs with six secondary EFL teachers. Findings show that the AI-enhanced LMS improved usability, instructional planning, language material development, and teacher confidence. Teachers described the AI chatbot as a supportive thinking partner for generating lesson ideas, workload and encouraged pedagogical reflection. At the same time, they raised concerns about student overreliance, content accuracy, and the ethical boundaries of AI use. These insights highlight the importance of co-design, context-sensitive implementation, and critical digital literacy in GenAI integration. This study contributes to growing conversations on AI in secondary education by emphasizing the role of teacher agency, ethical awareness, and system adaptability. It suggests that GenAI, when grounded in local practice, can act not only as a technical tool but as a catalyst for language pedagogical instruction.
Artificial Intelligence Enhanced Learning Management System: Supporting Merdeka Belajar-Kampus Merdeka (MBKM) at a State University in Indonesia Anisah, Lina; Yawan, Hendri; Marhamah, Marhamah
International Journal Of Education, Social Studies, And Management (IJESSM) Vol. 4 No. 3 (2024): The International Journal of Education, Social Studies, and Management (IJESSM)
Publisher : LPPPIPublishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52121/ijessm.v4i3.414

Abstract

This research aims to develop an e-learning system integrated with ChatGPT in enhancing students' learning outcomes within the Merdeka Belajar Kampus Merdeka (MBKM). By adopting the Analyze, Design, Develop, Implement, and Evaluate (ADDIE) approach, this study indicates a remarkable 80% satisfaction rate among users of the e-learning platform. Despite focusing on the e-learning development stage and content preparation, there remains an avenue for further investigation, specifically in the realm of classroom action research. The implementation of this e-learning portal stands as a significant milestone in educational technology, emphasizing accessibility, adaptability, and cost-efficiency, offering a durable platform for educational content. User feedback underlines the success of this development, endorsing its continued usage and potential for further advancements. This research not only addresses the immediate effectiveness of integrating ChatGPT into e-learning but also showcases the potential for continual enhancement and the ongoing evolution of educational technologies within the MBKM initiative at Universitas Sembilanbelas November Kolaka.
Augmented Reality Application: Current status, opportunities, and challenges of Indonesian secondary education context. Hendri Yawan
EDUTEC : Journal of Education And Technology Vol. 5 No. 2 (2022): March 2022
Publisher : STAI Miftahul Ula Nganjuk

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29062/edu.v5i3.327

Abstract

This article aims to investigate the studies about the implementation Augmented Reality (AR) in Education, particularly to have a closer look at the opportunities and challenges of AR application in Indonesian educational context. Finding of this study were analyzed through a synthesis research. The current empirical studies related to AR implementation in education were descriptively analyzed, and carefully synthesized. AR is one of the emerging technologies which has a big promise on teaching and learning. This study reveals that AR may offer a meaningful and engaging learning experiences because AR based learning can provide critical thinking activity with problem solving tasks. Furthermore, well-designed AR may situate a collaborative learning which can enhance students’ positive behavior and attitude. However, this essay also reveals some limitations of AR application need to be taken into consideration, especially when it comes to technological and learning issues. Consequently, AR may not be the ideal solution for all learning settings, yet the ongoing development of AR technology on handheld mobile devices offers a big optimism for future learning. It is highly expected that the vast development of AR may positively influence learning and become more significant in the future.
IMPLEMENTATION OF A MOBILE APPLICATION BASED ON MULTIMEDIA AND AI FOR INTERACTIVE LEARNING IN HIGHER EDUCATION Kadaruddin; Muh. Nurtanzis Sutoyo; Heri Alfian; Karman; Hariadi Syam; Hendri Yawan; Alifiah Pratiwi; Marhamah
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 5 No. 2 (2025): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/morfai.v5i2.2725

Abstract

The advancement of technology in education has led to the development of interactive and personalized learning tools. This research focuses on creating mobile learning application with multimedia and AI support to improve student engagement, motivation, and academic performance in higher education. This research aims to answer the question: How effective is an AI-based mobile learning app with multimedia support in enhancing student interactivity, motivation, and performance in higher education? The research follows the ADDIE model (Analysis, Design, Development, Implementation, and Evaluation). Data was collected from expert validators (media and material experts) and student feedback. A quantitative descriptive analysis was done using Likert-scale instruments to measure user experience, interactivity, motivation, and learning outcomes. The application was tested on 38 students, and their feedback was used to assess its effectiveness. The results show that the AI-based mobile learning app significantly improved student interactivity, motivation, and academic performance. The post-test results showed an average score of 81.82%, indicating an improvement in learning outcomes. Students expressed high satisfaction with the app’s interactivity, multimedia content, and personalized learning paths. The AI-driven real-time feedback contributed to a more engaging learning experience. In conclusion, the AI-based mobile learning app with multimedia support effectively enhances student engagement, motivation, and academic performance. The integration of personalized learning paths and real-time feedback makes learning more interactive and adaptive. These findings highlight the need to design future mobile learning apps that prioritize accessibility and adaptability.
A NEEDS ANALYSIS FOR DESIGNING A MODULE-BASED AUTOMATED WRITING EVALUATION (AWE) TOOL IN INDONESIAN EFL ACADEMIC WRITING Marhamah; Hendri Yawan; Litha Nesidekawati Dakka
EXPOSURE : JURNAL PENDIDIKAN BAHASA INGGRIS Vol. 15 No. 1 (2026): EXPOSURE:JURNAL PENDIDIKAN BAHASA INGGRIS
Publisher : Universitas Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/xv300v61

Abstract

  Marhamah1, Hendri Yawan2, Litha Nesidekawati Dakka3 1,2,3 Universitas Sembilanbelas November Kolaka, Indonesia Marhamahudri@gmail.com Received: May 30, 2025 Revised:  June  27, 2025 Accepted: August 16, 2025   ABSTRACT The growing use of AI Automated Writing Evaluation (AWE) tools in higher education has raised concerns about students’ reliance, lack of critical engagement, and ethical uncertainties. However, limited research has examined how AI-supported writing is experienced in Indonesian EFL higher education contexts, particularly regarding its pedagogical and ethical implications in academic writing classrooms. This study, as part of a broader Design-Based Research (DBR) project, focused on a needs analysis through a qualitative case study to explore students’ and lecture’s perceptions of AI-supported academic writing in an Indonesian EFL context and to inform the design of a digital writing module. Data were collected through interviews with one instructor, focus group discussions with 15 students, and the analysis of student writing drafts. Reflexive thematic analysis was applied to capture patterned meanings and interpretive insights. Findings showed that while AI tools improved grammatical accuracy and text coherence, they often encouraged limited argumentation, homogenized structures, and confusion about academic integrity. These results suggest the importance of embedding scaffolding for reflection, feedback literacy, and digital ethics into instructional design.  
Model Blended Learning: Cross-Sectional Efektivitas di Masa Post-Pandemi Covid-19 Suriaman Suriaman; Amisbah Ramly; Fazli Rachman; Sukmawati Sukmawati; Hendri Yawan; Iyan Nurdiyan Haris
Jurnal Kewarganegaraan Vol 6 No 2 (2022): Desember 2022
Publisher : UNIVERSITAS PGRI YOGYAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/jk.v6i2.3321

Abstract

AbstrakKasus pandemi covid-19 mulai menurun pada tahun 2021 yang membuat beberapa institusi pendidikan mengeluarkan kebijakan akademik kepada dosennya untuk melaksanakan proses perkuliahan bisa dilakukan dengan menggunakan model blended learning. Di masa post-pandemi covid-19, perguruan tinggi bisa menggabungkan metode pembelajaran campuran antara tatap muka secara langsung maupun secara daring dalam satu semester perkuliahan dengan tetap memperhatikan protokol kesehatan. Tujuan penelitian ini untuk mengetahui seberapa besar efektivitas pembelajaran dengan model blended learning di masa post-pandemi covid-19 pada mahasiswa Program Studi Pendidikan Pancasila dan Kewarganegaraan Universitas Sembilanbelas November Kolaka pada tahun akademik 2021/2022. Penelitian ini menggunakan pendekatan kuantitatif melalui metode survei dengan jenis cross-sectional. Responden pada penelitian ini sebanyak 34 mahasiswa yang tersebar di 4 angkatan yang masih aktif dengan teknik penarikan sampel quota sampling. Hasil penelitian menunjukkan bahwa 2,9% sangat setuju, 73,5% setuju, 17,6% cukup setuju, dan 5,9% kurang setuju jika model blended learning dari segi efektivitasnya pada proses perkuliahan membuat mahasiswa merasa puas selama pembelajaran berlangsung.Kata Kunci: Model Blended Learning, Post-Pandemi Covid-19, Mahasiswa AbstractThe cases of the covid-19 pandemic began to decline in 2021, which made some educational institutions have issued academic policies to their lecturers to implement a blended learning model in the learning process. In the post-covid-19 period, universities can implement the hybrid learning by blending the face-to-face learning and online learning in one semester but needs to follow the health protocols of Covid-19. The purpose of this study was to find out how effective the blended learning model during the post-covid-19 pandemic for the students of the Pancasila and Citizenship Education Study Program at Universitas Sembilanbelas November Kolaka in the 2021/2022 academic year. This research used quantitative approach and a survey through method with a cross-sectional type. Respondents in this study were 34 active students spread over 4 batches who were using quota sampling technique.  The results showed that 2,9% of respondents strongly agree, 73,5% of respondents agree, 17,6% of respondents quite agree, and 5,9% of respondents disagree if the implementation of blended learning model related to its effectiveness made the students fell satisfied during the learning process.Keywords: blended-learning model, post pandemic of covid-19, students
GAME-CHANGING LEARNING: HOW DIGITAL GAMES BOOST LEARNING ENGAGEMENT Hendri Yawan; Marhamah Marhamah; Hariadi Syam
IJIET (International Journal of Indonesian Education and Teaching) Vol 9, No 2 (2025): July 2025
Publisher : Sanata Dharma University Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijiet.v9i2.8622

Abstract

The research examines how Digital Game-Based Learning (DGBL) offers some advantages for secondary school students’ Engagement in the EFL classroom in Indonesia. It also investigates some drawbacks encountered during DGBL implementation and provides refutations to disprove the counterarguments. The methodology undertaken is a synthesis research methodology. Relevant literature was obtained through peer-reviewed articles from reliable journals such as Google Scholar, ERIC, ProQuest Education Journal, and other relevant sources. The findings further reveal that teaching EFL classrooms under the framework of DGBL benefits students in three ways. Firstly, digital games can engage students’ emotions in the learning process by promoting a psychological state that is commonly known as a flow condition. It refers to playing a digital game with fun, interest, and deep concentration. Secondly, DGBL can engage students’ cognition by providing problem-solving activities that help students think critically to decipher the challenges of the games. Lastly, DGBL can also promote behavioral engagement by situating students in cooperative learning activities, which, with guidance from teachers, encourage students to participate collaboratively as a team during the gameplay. In this study, the investigation only focuses on which aspects of DGBL can significantly leverage students’ engagement in the EFL learning classroom. Therefore, further analysis is required to examine how DGBL can be an effective instructional strategy to meet the English standard competencies in the Indonesian national curriculum.
Challenging Native Speakerism: TEFL in Indonesia Beyond Native Speaker Fallacy Hendri Yawan; Marhamah
JLE: Journal of Literate of English Education Study Program Vol 5 No 1 (2024): Volume 5 Number 1 July 2024
Publisher : Universitas Islam Ahmad Dahlan (UIAD)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47435/jle.v5i1.2692

Abstract

This article examines the English native speaker fallacy and its implications in the field of Teaching English as a Foreign Language (TEFL) in Indonesia. The NS fallacy refers to the belief that Native English-Speaking Teachers (NESTs) are inherently superior and more competent in teaching English, disregarding the importance of their Pedagogical Content Knowledge (PKC). Through a synthesis research methodology, this article involves examining, integrating, and synthesizing existing conceptual and empirical studies related to teacher professional identity, NESTs, TEFL, and its implementation in Indonesia. The findings suggest that the notion of standard English taught in EFL classrooms should be questioned, as it is influenced by linguistic imperialism and marginalizes World Englishes. In Indonesia, the dominance of standardized English tests further reinforces the perception that NESTs are more competent in teaching standard English. To challenge native speakerism, the article argues for a shift in focus from linguistic proficiency to pedagogical expertise when evaluating NESTs' qualifications. Emphasizing the value of Pedagogical Content Knowledge can lead to a more inclusive and equitable hiring process, where NESTs are assessed based on their teaching capabilities and experience. By prioritizing pedagogical expertise, educational institutions can promote a culturally responsive learning environment that embraces linguistic diversity and enhances the quality of English language education in a globalized world.
Designing an AI-Integrated LMS: EFL Teachers’ Views on Affordances and Challenges Hendri Yawan; Rais Abin; Marhamah; Puan Maharani
JLE: Journal of Literate of English Education Study Program Vol 6 No 1 (2025): Volume 6 Number 1 July 2025
Publisher : Universitas Islam Ahmad Dahlan (UIAD)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47435/jle.v6i1.3867

Abstract

The integration of generative artificial intelligence (GenAI) into English as a Foreign Language (EFL) learning is an emerging area of inquiry, particularly in contexts undergoing curriculum reform. This study explores how embedding ChatGPT into a Learning Management System (LMS) can support secondary EFL teachers’ instructional practices. Despite national efforts to improve digital infrastructure and pedagogical innovation, many EFL teachers still struggle with effectively using LMS platforms for language instruction. The study adopted a Design-Based Research (DBR) guided by the Software Development Life Cycle (SDLC) Waterfall model, to design, implement, and evaluate an AI-integrated LMS. Data were collected through surveys, interviews, and user walkthroughs with six secondary EFL teachers. Findings show that the AI-enhanced LMS improved usability, instructional planning, language material development, and teacher confidence. Teachers described the AI chatbot as a supportive thinking partner for generating lesson ideas, workload and encouraged pedagogical reflection. At the same time, they raised concerns about student overreliance, content accuracy, and the ethical boundaries of AI use. These insights highlight the importance of co-design, context-sensitive implementation, and critical digital literacy in GenAI integration. This study contributes to growing conversations on AI in secondary education by emphasizing the role of teacher agency, ethical awareness, and system adaptability. It suggests that GenAI, when grounded in local practice, can act not only as a technical tool but as a catalyst for language pedagogical instruction.