During this training, pre-service teachers and educators from Chengdu Normal University (CNU) moved beyond theoretical discussions, fully immersing themselves in the primary school's innovative "Diagnose, Analyze, and Intervene" multidimensional smart teaching research model. Through real-time data feedback from the HiTeach Smarter Teaching System, participants observed how to integrate AI technology into real classrooms via precise diagnosis, in-depth analysis, and targeted instruction. This rewarding experience of "learning real teaching research" epitomizes the transformation of deeply integrating pedagogical theory with digital technology.
As the wave of Generative AI sweeps the globe, educational authorities are actively promoting the "Pre-service Teacher Digital Teaching Competency Assessment." This aims to objectively evaluate the ability of prospective teachers to utilize diverse teaching media, learning technologies, AI literacy, and digital platforms for teaching and learning diagnosis. Equipping pre-service teachers with "immediate digital readiness" during their training phase has become a top priority for normal universities worldwide. Through its deep collaboration with the HiTeach platform, Chengdu Normal University has provided a highly representative practical case on how to achieve this goal in a highly interactive environment.
Chengdu Normal University and the HiTeach Smarter Teaching System have established several pivotal collaborative initiatives, successfully restructuring the training process for pre-service teachers. Its core advantage lies in implementing an integrated digital transformation experience for both "pre-service training" and "in-service professional growth." This model not only effectively enhances digital teaching capabilities but also provides a concrete, evidence-based framework for promoting digital competency assessments, making it highly worthy of exploration by global educational partners.
To address pain points such as insufficient digital literacy and inadequate integration of technology and pedagogy in teacher training, Chengdu Normal University has restructured an AI-collaborative application environment by establishing the "Chengdu Normal University Pre-service Teacher Digital Literacy Enhancement Platform." This platform integrates the HiTeach Smarter Teaching System (powered with a Generative AI engine) and the AI Sokrates Lesson Evaluation System. Through a comprehensive digital training process, it achieves:
Human-Machine Collaborative Autonomous Learning: Pre-service teachers are no longer passive listeners; they use AI tools for independent exploration.
Collaborative Classroom Practice: In simulated teaching, they instantly apply digital tools and AI modules for interactive lesson design.
Integrated Pre-service and In-service Evaluation: Through a data-driven evaluation system, the performance of pre-service teachers during their studies can be precisely aligned with future workplace demands.
Chengdu Normal University hosted the "Sichuan Province Pre-service Teacher Digital Literacy and Artificial Intelligence Innovation Application Competition." Participants used HiTeach as their foundational tool, applying its AI/GPT modules to demonstrate the integration of Generative AI in live classroom settings. Paired with the autonomous professional development services provided by the AI Sokrates system, the competition ensured every prospective teacher could showcase their pedagogical wisdom.
AI/GPT Module Integration: Participants were required to flexibly utilize Generative AI modules within the HiTeach system (e.g., auto-question generation, key point summarization, instant feedback) for lesson design.
AI Sokrates Autonomous Development: Participants could engage in self-reflection and improvement through automated classroom analysis reports generated by the AI system. This model demonstrates how new-era educators can turn digital tools into pedagogical "amplifiers" rather than mere presentation devices.
Beyond pre-service training, Chengdu Normal University also hosted the "Sichuan Province First Teacher Artificial Intelligence Application Competency Competition," organized by the provincial Department of Education.
Competition Theme: "AI Empowers Teacher Professional Development, Digital Intelligence Transforms Future Classrooms."
Technical Support: Powered primarily by the TEAM Model system. The competition covered basic, vocational, and higher education, focusing on AI teaching innovation case studies and AI Educational Agent design, comprehensively promoting teachers' professional transformation.
Digital Application Case Studies: Practical demonstrations of how AI empowers subject teaching.
AI Educational Agent Design: Encouraging teachers to design personalized AI teaching assistants.
Transforming Future Classrooms: Exploring how AI can fundamentally alter pedagogical structures.
From the on-site training at the Affiliated Experimental Primary School to the experiential refinement of the provincial competition, Chengdu Normal University has demonstrated how to turn AI technology into a powerful tool for teaching diagnosis. This "platform-based, competition-driven, and data-centric" integration strategy not only enables objective assessment of teacher capabilities but also guides teachers and students into the future classrooms of tomorrow.
This practical pathway precisely aligns with the goal to "objectively assess the ability of pre-service teachers to use diverse teaching media, learning technologies, AI literacy, and digital platforms for teaching and learning diagnosis." For education partners standing at the forefront of the digital transformation wave, this serves as a highly valuable demonstration and reference blueprint.
✨ HiTeach: Smart Teaching Solutions for Higher Education
✨ HiTeach teaching practice case at Central Taiwan University of Science and Technology