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Experimental study reveals chatbots significantly reduce technology resistance and improve learning outcomes among high school students, indicating effective digital change.
The sustainable integration of artificial intelligence (AI) in education is crucial for achieving Sustainable Development Goal 4 (SDG 4). However, its potential is frequently undermined by a critical, often overlooked barrier: student resistance to technological change, which can hinder learning outcomes and derail the sustainable adoption of digital tools. This study investigates the potential of chatbots as a targeted intervention to mitigate this resistance among high school students. The research involved 52 first-year high school students from a school in Al-Ahsa, selected based on high levels of technology resistance. Using a randomized controlled pre-test/post-test design, participants were divided into an experimental group ( n = 26), which interacted with a dedicated chatbot, and a control group ( n = 26), which was exposed to traditional teaching methods about the technology. Conducted over two weeks during the 2024/2025 academic year, resistance was measured using a validated 17-item scale assessing four dimensions: routine adherence, emotional reactions, cognitive rigidity, and short-term thinking. Data were analyzed using independent samples t-tests. The analysis revealed a statistically significant reduction in overall technology resistance for the experimental group compared to the control group (t(50) = 11.21, p < 0.001), with a large effect size ( d = 2.87). The findings offer clear practical implications. For schools, chatbots represent a scalable strategy to ease digital transformation; for teachers, they are a tool to reduce student anxiety and ease instructional transitions; and for students, they provide a low-stakes environment to build technological confidence. This study provides one of the first empirical evidence that chatbots can be a targeted intervention for reducing student resistance, thereby offering a practical mechanism for supporting the sustainable and frictionless integration of new technologies in line with national visions like Saudi Vision 2030.
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Ensaf Nasser Al Mulhim (2025) studied this question.
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