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Using purposive sampling, the study includes one instructor and 38 students, with data gathered via semi-structured interviews and analyzed through content analysis. Results show AI can enhance individualized learning, improve instructional effectiveness, support digital content development, and strengthen academic language proficiency, while providing immediate feedback on core photography concepts. Participants also raise concerns about reduced engagement, passivity, and misinformation. 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(2025) . Integrating AI into instructional design: A case study on digital photography education in higher education. Contemporary Educational Technology, 17(3), ep583 .  \n[https://doi.org/10.30935/cedtech/16433](https://doi.org/10.30935/cedtech/16433)  \nARTICLE INFO ABSTRACT  \n\n| Received: 7 Feb 2025\u003Cbr>Accepted: 22 May 2025\u003Cbr>INTRODUCTION | This study investigates the impact of artificial intelligence (AI)-supported education in higher education, specifically examining its integration into a digital photography course and its effects on both students and instructors. A qualitative research methodology was employed, and participants were selected through purposive sampling. The study involved one instructor and 38 students, with data collected through semi-structured interviews and analyzed using content analysis within a qualitative case study design. The findings indicate that AI enhances educational processes by facilitating individualized learning, improving instructional effectiveness, supporting digital content development, and advancing academic language proficiency. Students demonstrated improvements in critical evaluation and technological adaptability. Additionally, the study revealed that AI-supported tools contributed to the development of students’ technical skills and promoted active engagement in learning processes. The immediate feedback provided by AI tools aided students’ understanding of fundamental photography principles. However, some students expressed concerns about potential risks associated with AI, including decreased engagement, learner passivity, and exposure to misinformation or contradictory content. The study highlights the importance of integrating AI within a sound pedagogical framework to ensure its effective application in educational contexts. Drawing on the experiences of both students and the instructor, the findings suggest that AI-supported educational models can enhance learning efficiency, while also emphasizing the need to bolster information reliability and foster critical thinking skills.\u003Cbr>Keywords: artificial intelligence, education, integration, instructional design, higher education |\n| --- | --- |\n\nArtificial intelligence (AI) has emerged as one of the most transformative technological advancements of the 21st century, reshaping industries by enhancing efficiency, automating complex tasks, and improving decision-making processes (Al Samman, 2024; Mai & Li, 2024) . AI refers broadly to computer systems and algorithms designed to emulate human cognitive functions, including reasoning, problem-solving, and learning. By analyzing large volumes of data, AI can make decisions, generate predictions, and even engage in creative processes (Bui et al., 2024; Jin et al., 2023). The impact of AI spans a wide range of fields—including healthcare, finance, engineering, manufacturing, and cybersecurity—where it supports automation, increases operational efficiency, and enhances predictive analytics (Altaleb et al., 2023; Gupta & Srivastava, 2024; Sundaram, 2022) . The education sector has likewise experienced significant benefits from AI-driven technologies, which facilitate adaptive learning systems, intelligent tutoring, automated assessment, and personalized content delivery (Trivedi, 2023; Vrana, 2024) .  \nIn the field of education, AI plays an increasingly prominent role in enhancing learning processes and improving accessibility. Through adaptive learning materials, real-tim","cbCaiay1VaGwB9UE","https://ap.wps.com/l/cbCaiay1VaGwB9UE","pdf",479176,28,"English","# Introduction\n## Purpose and research approach\n## Reported benefits of AI-supported education\n## Risks and pedagogical considerations","[{\"question\":\"What concerns do some students express about AI use?\",\"answer\":\"Some students worry about potential risks such as decreased engagement, learner passivity, and exposure to misinformation or contradictory content. The study stresses the need for a sound pedagogical framework, reliability, and critical thinking.\"}]","Integrating AI into instructional design: A case study on digital photography education in higher education | PDF",1792090780,71]