## 2 Precision Teaching Model Supported by AI Technology
#### 2.1.4 Stage Report  
Parents receive periodic stage reports that encompass classroom performance data across various subjects at different proficiency levels, as well as homework completion rates. These reports facilitate parents' understanding of their children's learning dynamics while fostering effective communication with teachers.  
Students: Personalized Learning and Individual Development Supported by Intelligent Technology Systems  
Accurately comprehending the essence of personalized learning is fundamental and pivotal in establishing a big data-driven personalized learning service system. Research suggests that the ability to dynamically provide tailored content is a favorable factor for achieving effective learning support, while also respecting students' diverse personalities, preferences [50], and challenges encountered in virtual learning environments. A literature review reveals that personalized learning has been attributed with varying interpretations over time. In 2010, the National Education Technology Plan defined personalized learning as empowering students to make decisions regarding what, how, and at what pace they learn through diversified options that foster lifelong education mindset development and enhance their autonomy [51]. Similarly, in 2010, UK's Department for Education and Communications Technology described personalized learning as an inclusive approach centered on students' needs and catering especially to those facing difficulties in their educational journey [52]. In 2010, the Education and Communications Technology Agency of the UK stated that personalized learning is an inclusive approach that prioritizes students and caters to the needs of all learners, particularly those facing difficulties [52]. In 2019,Yu proposed a three-tiered interpretation of personalized learning [53]. [PERSON] et al. argue that future research on precision teaching should focus on personalized learning towards individualized learning [54], demonstrating how intelligent technology can enable individualized instruction. [PERSON] and [PERSON] have conducted an extensive analysis highlighting the distinctions between personalized learning and individualized learning [55], noting that student growth necessitates both teacher-led personalized instruction and technology-supported individualized development.  
The emerging definition of personalized learning encompasses two essential features: (1) Student-led self-directed learning, wherein students have control over the pace and content of their education. (2) Adaptive and individualized learning supported by AI technology, which collects data on students' learning behaviors to provide concrete analysis results and deliver adaptive tasks for precise teaching by educators and personalized learning experiences for students.  
With the assistance of intelligent teaching systems, students can independently enhance their knowledge through self-study, examinations, and feedback from a misconceptions notebook. Additionally, they can receive personalized instruction by providing feedback on their progress through homework assignments and practice exercises.