AI-personalized learning apps (such as ChatChamp!) can offer detailed performance tracking, providing teachers with valuable analytics to identify student strengths and areas for improvement. This allows for personalized support, enabling teachers to adjust instructional strategies based on individual needs and "allow task difficulty to be adapted to the individual's zone of proximal development, where tasks are neither too boring nor too difficult to cause discouragement making learning naturally engaging and challenging" (Laak & Aru, 2024, pp. 2-3).
Time efficiency is also enhanced through automated assessments, which handle routine evaluations and free up teachers to focus on personalized instruction and mentorship. Research done about the Norwegian educational system shows that while most teachers (86%) like teaching, "teachers experience significant time pressure with the majority (93%) reporting that various tasks are hindering them from doing their pedagogical work" (Inal, Hellesnes, Nerem & Monllaó, 2024, p.129). AI-driven personalized learning would be able to free up time efor teachers and leave them with more time to create learning materials for their students.
Enhanced collaboration is facilitated through centralized teacher dashboards for monitoring progress and collaborating with students, and seamless curriculum integration aligns app content with classroom activities, ensuring a cohesive teaching experience (Patkar & Kumbhar, 2021).
Adoption and training of AI tools in education require professional development, as teachers need training to effectively integrate and utilize these technologies. Some educators may resist adopting new technologies, preferring traditional methods (Inal, Hellesnes, Nerem & Monllaó, 2024). Data privacy is a critical concern, with the need to ensure the privacy and security of student data and to balance the use of AI with ethical considerations in education (Inal, Hellesnes, Nerem & Monllaó, 2024). Integrating AI-driven tools with the curriculum poses challenges in ensuring alignment with educational standards and curriculum requirements and allocating time and resources to incorporate these tools into existing teaching practices.
AI-personalized learning apps (such as ChatChamp!) adapt lessons to the learner's proficiency, pace, and interests, resulting in more effective learning outcomes and flexible learning experiences, since students can access materials anytime and anywhere on their mobile device (Patkar & Kumbhar, 2021). Enhanced engagement is achieved through interactive features like multimedia content, gamification, and real-time feedback, making learning more enjoyable and maintaining student motivation through personalized challenges and progress tracking (Inal, Hellesnes, Nerem & Monllaó, 2024). Improved language skills are fostered by AI chatbots that offer real-time conversation practice, enhancing fluency and confidence, while voice recognition technology provides instant pronunciation feedback. Additionally, students benefit from access to a diverse range of materials, including various accents, dialects, and formality levels, which in turn, has the ability to enhance engagement.
Digital literacy poses challenges as not all students have access to the necessary devices or internet connectivity, and some may struggle with navigating and effectively utilizing AI-driven tools (Patkar & Kumbhar, 2021). Some research also shows that repeating the same content over and over again can improve short-term performance but doesn't always improve long-term learning (Laak & Aru, 2024). Self-motivation is also a concern, as independent learning requires a high degree of self-discipline and motivation, which can be challenging for some students (Inal, Hellesnes, Nerem & Monllaó, 2024). Additionally, students risk becoming overly reliant on AI tools, potentially neglecting traditional study methods. Furthermore, mobile addiction can be a significant issue, where excessive use of mobile devices for learning can lead to distraction and reduce overall productivity and engagement (Inal, Hellesnes, Nerem & Monllaó, 2024).