"Across the Spectrum: A Comparative Lens on 10 Cutting-Edge AI-in-Education Studies

The articles in the study span a wide spectrum of AI and technology-enhanced learning applications, from K–12 AI literacy (Children’s AI Design Platform) to culturally responsive technology-enabled learning in higher education (Investigating Culture and Resource-Sensitive TEL), and optimization-based team formation (Leveraging Multicriteria Integer Programming). Methodologies range from design science and mixed methods to simulation and deep learning architectures like CNN–Transformer fusion (MSC-Trans). Several works center on language and communication skills—whether through generative AI prompt frameworks for text analysis, chatbot-driven programming feedback (PythonPal), or automated writing evaluation combined with teacher feedback and eye-tracking (Reducing English Major Students’ Writing Errors). Common threads include the need for user-centered design, the integration of advanced AI models with pedagogical goals, and careful measurement of learning outcomes. Notably, these works reflect a growing focus on blending technological sophistication with contextual and cultural considerations in educational practice.