Group 1 - The core focus of the project is to address key issues in the safety production training sector, which include the disconnection between training content and the latest standards, lack of intelligent support in teaching methods, and sustainability challenges in platform operations [3][4] - The project aims to develop an integrated smart platform for teaching, training, and assessment that aligns with the new standards set by the Ministry of Emergency Management in 2024, leveraging artificial intelligence for compliance, personalization, practicality, and sustainable operation [3][4] Group 2 - The research will create a teaching support system based on a "data-driven, scenario interaction, intelligent assessment, and precise feedback" model, utilizing AI technology for dynamic content updates, personalized learning paths, virtual simulations, and intelligent evaluation [4] - Experts have recognized the project for its theoretical and practical significance, asserting that it aligns with national strategies for safety production and educational digitalization, potentially offering replicable solutions for the digital transformation of the safety training industry [5]

Core Viewpoint - The article emphasizes the importance of using typical cases to educate and regulate safety training institutions in the city, aiming to enhance compliance awareness and improve the quality of safety training services. Group 1: Case Summaries - Case 1: XX (Shandong) Safety Technology Service Co., Ltd. was found to lack safety training conditions, including failure to meet monitoring and storage requirements for training videos and non-compliance with fire safety regulations, resulting in a fine of 10,000 RMB [2] - Case 2: XXXX (Shandong) Safety Technology Service Co., Ltd. was penalized for improper management of training archives, including unapproved teaching outlines and instances of unauthorized signatures on qualification application forms, leading to a fine of 17,000 RMB [3] - Case 3: XXXX Safety Technology Co., Ltd. was cited for inadequate training conditions, including trainers lacking sufficient practical experience and discrepancies in training records, resulting in a fine of 14,000 RMB [4]