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Journal articles on the topic 'AI-powered lesson plans'

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1

Williyan, Aldha, Muhammad Ilyas, Salah Shahat, Mochamad Guntur, and Utami Rosalina. "AI-powered pedagogy for argumentative essays in tertiary ELT: Insights from focus groups." Journal of General Education and Humanities 4, no. 3 (2025): 671–86. https://doi.org/10.58421/gehu.v4i3.423.

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This study explores AI-powered pedagogy for teaching argumentative essays in tertiary English Language Teaching (ELT) through focus group discussions with six experienced ELT lecturers. The research addresses two key questions: how to develop AI-powered lesson plans for argumentative essay writing systematically, and what EFL students' perceptions of AI-powered tools' impact on specific dimensions of argumentative writing are. Using Framework Analysis of qualitative data, the study identifies four areas where AI enhances instruction: scaffolding argument development, providing real-time feedba
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Zulianti, Hajjah, Hastuti Hastuti, Eva Nurchurifiani, Tommy Hastomo, Aksendro Maximilian, and Galuh Dwi Ajeng. "Enhancing Novice EFL Teachers' Competency in AI-Powered Tools Through a TPACK-Based Professional Development Program." World Journal of English Language 15, no. 3 (2024): 117. https://doi.org/10.5430/wjel.v15n3p117.

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As artificial intelligence (AI) continues to advance rapidly, its application in educational settings is increasingly expanding. However, a substantial gap persists in the number of novice English as a Foreign Language (EFL) teachers who are well-prepared to integrate technology in learning activities. This research created a professional development (PD) program grounded in the technological pedagogical content knowledge (TPACK) framework to tackle this issue and enhance the AI-related teaching skills of novice EFL teachers. The study employed a quasi-experimental design, with 20 participants
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. Monika, Ms. "AI-Edvolution: Transforming Teaching Through Intelligent Systems." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem50643.

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Abstract- Artificial Intelligence (AI) is revolutionizing education by introducing intelligent systems that enhance teaching methodologies and learning experiences. This paper explores how AI-driven tools, such as adaptive learning platforms, automated grading systems, and virtual tutors, are transforming traditional classrooms. By personalizing instruction based on student performance and engagement, AI enables a more efficient and effective learning process. Additionally, AI-powered analytics assist educators in identifying learning gaps and optimizing lesson plans. Despite its advantages, c
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Relator, Alyssa Amor A., Angel Feb P. Arguelles, Kristine D. Quizada, Joaqui Conrad N. Toscano, and Adrian V. Protacio. "Awareness and Acceptance of Artificial Intelligence among English Pre-Service Teachers in a State Tertiary School." International Journal of English Literature and Social Sciences 10, no. 3 (2025): 082–91. https://doi.org/10.22161/ijels.103.14.

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Artificial Intelligence is transforming education, and English pre-service teachers play a significant part. Few studies have examined their views on AI, emphasizing the need to understand its effects on student performance. This study examined English PSTs' AI awareness and acceptability at Sultan Kudarat State University. This study examined their viewpoints to understand what drove AI tool adoption in English language teaching. The findings were intended to guide curriculum development, teacher training, and instructional methods, assuring AI's responsible and ethical use in education. Empl
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Mena Octavio, Manuela, María Vicenta González Argüello, and Joan-Tomàs Pujolà. "ChatGPT as an AI L2 teaching support: A case study of an EFL teacher." Technology in Language Teaching & Learning 6, no. 1 (2024): 1–25. http://dx.doi.org/10.29140/tltl.v6n1.1142.

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The present study investigates the potential of ChatGPT as an L2 teaching support and aims to explore the extent to which this Generative AI-powered tool is helpful for English as a Foreign Language (EFL) teachers. Therefore, this exploratory single instrumental case study followed an EFL teacher using ChatGPT for seven months, from January to June 2023, as an aid for her English classes in a private language school in Spain. Data were collected from her ChatGPT history in relation to her prompting tasks and outputs received, from her lesson plans when she implemented ChatGPT in class, and fro
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Arup, Kumar Maity, and Mete Jayanta. "Role of AI in addressing individual learning needs in special education." International Journal of Trends in Emerging Research and Development 2, no. 6 (2024): 31–35. https://doi.org/10.5281/zenodo.14382286.

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In the landscape of modern education, meeting the diverse learning needs of students, especially in special education, presents a paramount challenge. Specialised teaching techniques are frequently needed to facilitate the social-emotional and intellectual development of children with exceptionalities or impairments. The integration of artificial intelligence (AI) presents a promising approach to enhance educational results for individuals with diverse skill sets and efficiently fulfil individual learning needs. This research paper explores the role of Artificial Intelligence (AI) in addressin
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Dogan, Selçuk. "A Human-AI Hybrid Co-Design Model: Planning Effective Instruction with ChatGPT." Asian Journal of Distance Education 20, no. 1 (2025): 94–119. https://doi.org/10.5281/zenodo.15212405.

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This article explores the integration of ChatGPT into instructional design, utilizing a backward planning framework to align learning objectives, assessments, and activities for enhanced educational outcomes. Grounded in the principles of Understanding by Design (UbD) the paper introduces a three-step human-AI hybrid co-design model that enables educators to streamline planning processes while maintaining pedagogical rigor. This manuscript demonstrates how generative AI can support the creation of transfer goals, performance tasks, and authentic learning experiences, providing detailed prompts
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DR., VISHAL DNYANESHWAR KAMBLE. "THE FUTURE OF EDUCATION WITH AI: TRANSFORMING LEARNING LANDSCAPES." Educational Resurgence Journal 8, no. 1 (2025): 9–15. https://doi.org/10.5281/zenodo.14685548.

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<strong><em>Abstract: </em></strong><em>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Education is a cornerstone of human development, and the advent of Artificial Intelligence (AI) presents a transformative opportunity to address the challenges facing educational systems worldwide. In India, where education is a blend of tradition and modernity, AI can significantly reshape learning experiences. This article explores the future of education in India through the lens of AI, highlighting its potential to personalize learning, bridge teacher-student ratio gaps, enhance acces
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Abdelkader, Ouanouki, and Omrani Amine. "Artificial Intelligence and its Role in the Learning Process for Students of the Automated Media Department (A Study on Students of the Automated Media Department at the University of Djelfa Algeria)." International Journal of Research and Innovation in Social Science IX, no. V (2025): 234–52. https://doi.org/10.47772/ijriss.2025.90500023.

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Our study focuses on the role of artificial intelligence in the educational process. The field study was conducted on students in the Department of Computer Science at the University of Djelfa, Algeria. We used ChatGPT and Duolingo as models for education and the extent to which students benefit from these two platforms, whether in their lessons and lectures or in learning languages ​​and other sciences. AI has revolutionized the way we approach education, starting with personalized learning algorithms that allow learners to engage in dialogue and receive instruction in a smooth and purposeful
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Robertson, Tim, Serge Belongie, Hartwig Adam, et al. "Training Machines to Identify Species using GBIF-mediated Datasets." Biodiversity Information Science and Standards 3 (June 19, 2019): e37230. https://doi.org/10.3897/biss.3.37230.

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Advances in machine vision technology are rapidly enabling new and innovative uses within the field of biodiversity. Computers are now able to use images to identify tens of thousands of species across a wide range of taxonomic groups in real time, notably demonstrated by iNaturalist.org, which suggests species IDs to users (<u>https://www.inaturalist.org/pages/computer_vision_demo</u>) as they create observation records. Soon it will be commonplace to detect species in video feeds or use the camera in a mobile device to search for species-related content on the Internet. The Global Biodiversi
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11

Flavin, Eunhye, Sunghwan Hwang, and Melita Morales. "“Let’s Ask the Robot!”: Epistemic Stance Between Teacher Candidates Toward AI in Mathematics Lesson Planning." Journal of Teacher Education, March 29, 2025. https://doi.org/10.1177/00224871251325079.

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Generative artificial intelligence (AI)-powered conversation agents such as ChatGPT are increasingly being used in teacher education. Although ChatGPT can provide ample resources for lesson planning, little attention has been paid to how teacher candidates construct prompts and evaluate AI-generated outputs in real time to develop lesson plans. Taking up Bisconti et al.’s conceptualization of generative AI as a social agent in a sociotechnical system, this article investigates how knowledge construction is dynamic and negotiated through interaction when using ChatGPT to develop lesson plans. W
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Kosmas, Panagiotis, Efi A. Nisiforou, Evgenia Kounnapi, Spyros Sophocleous, and Giannis Theophanous. "Integrating artificial intelligence in literacy lessons for elementary classrooms: a co-design approach." Educational technology research and development, March 28, 2025. https://doi.org/10.1007/s11423-025-10492-z.

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Abstract Artificial Intelligence (AI) tools are becoming increasingly popular in education, providing teachers with new opportunities to enhance student learning experience and build upon existing teaching practices. This study employs a co-design approach to develop AI-integrated learning materials and explore their implementation in elementary classrooms. In collaboration with researchers, twenty-five in-service teachers co-designed engaging, age-appropriate lesson plans aligned with the national elementary curriculum and adaptable to diverse classroom needs. Qualitative analysis of teachers
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13

Bektik, Duygu, Thomas Daniel Ullmann, Chris Edwards, Christothea Herodotou, and Denise Whitelock. "AI-Powered Curricula: Unpacking the Potential and Progress of Generative Technologies in Education." Ubiquity Proceedings, August 28, 2024, 38. http://dx.doi.org/10.5334/uproc.160.

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The aim of this narrative review is to understand how Artificial Intelligence (AI), specifically generative AI (e.g. ChatGPT) is thought to be used to support teachers in content authoring and curriculum production. Our findings indicate that Generative AI is envisioned as a co-design partner in enhancing educational content such as rubrics, lesson plans, interactive exercises, analogies, reflective questions, and case studies tailored to learning goals and instructional needs. The literature suggests that the key issues with the use of ChatGPT in education can be summarised mainly around its
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14

Albadarin, Yazid, Mohammed Saqr, Nicolas Pope, and Markku Tukiainen. "A systematic literature review of empirical research on ChatGPT in education." Discover Education 3, no. 1 (2024). http://dx.doi.org/10.1007/s44217-024-00138-2.

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AbstractOver the last four decades, studies have investigated the incorporation of Artificial Intelligence (AI) into education. A recent prominent AI-powered technology that has impacted the education sector is ChatGPT. This article provides a systematic review of 14 empirical studies incorporating ChatGPT into various educational settings, published in 2022 and before the 10th of April 2023—the date of conducting the search process. It carefully followed the essential steps outlined in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA 2020) guidelines, as well as
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15

Gelikman, David G., Soroush Rais-Bahrami, Peter A. Pinto, and Baris Turkbey. "AI-powered radiomics: revolutionizing detection of urologic malignancies." Current Opinion in Urology, November 2, 2023. http://dx.doi.org/10.1097/mou.0000000000001144.

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Purpose of Review This review aims to highlight the integration of artificial intelligence-powered radiomics in urologic oncology, focusing on the diagnostic and prognostic advancements in the realm of managing prostate, kidney, and bladder cancers. Recent Findings As artificial intelligence continues to shape the medical imaging landscape, its integration into the field of urologic oncology has led to impressive results. For prostate cancer diagnostics, machine learning has shown promise in refining clinically-significant lesion detection, with some success in deciphering ambiguous lesions on
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16

-, Yashi Garg. "AI-Based Optimization of Battery Management Systems for Enhanced Electric Aircraft Efficiency." International Journal For Multidisciplinary Research 6, no. 6 (2024). https://doi.org/10.36948/ijfmr.2024.v06i06.31365.

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The aviation industry's shift towards sustainability has brought electric aircraft to the forefront as an eco-friendly alternative to traditional fossil-fuel-powered planes. Central to the efficiency and safety of these aircraft are Battery Management Systems (BMS), which ensure optimal performance through real-time monitoring and advanced energy management. This paper explores the role of AI-based optimization techniques in enhancing BMS functionality, focusing on predictive maintenance, dynamic energy distribution, and fault detection. By leveraging machine, deep, and reinforcement learning,
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17

Robertson, Tim, Serge Belongie, Hartwig Adam, et al. "Training Machines to Identify Species using GBIF-mediated Datasets." Biodiversity Information Science and Standards 3 (June 19, 2019). http://dx.doi.org/10.3897/biss.3.37230.

Full text
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Advances in machine vision technology are rapidly enabling new and innovative uses within the field of biodiversity. Computers are now able to use images to identify tens of thousands of species across a wide range of taxonomic groups in real time, notably demonstrated by iNaturalist.org, which suggests species IDs to users (https://www.inaturalist.org/pages/computer_vision_demo) as they create observation records. Soon it will be commonplace to detect species in video feeds or use the camera in a mobile device to search for species-related content on the Internet. The Global Biodiversity Info
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