The core of "teaching students according to their aptitude" is to accurately grasp their learning characteristics, while intervention for learning difficulties requires identifying the root cause of the problem. The traditional education model relies heavily on teachers' experience and judgment, lacking objective physiological basis.Near infrared brain imagingTechnology, with its non-invasive, real-time, and low-cost advantages, can capture changes in blood oxygen metabolism during the brain's learning process, providing quantitative support for the implementation of personalized teaching and scientific intervention for learning difficulties, and promoting the transformation of education from "experience driven" to "data-driven".

Near infrared brain imaging provides accurate diagnostic basis for teaching students according to their aptitude. This technology quantifies the cognitive processing characteristics of different students by detecting the activation level of key learning related brain areas such as the prefrontal cortex and temporoparietal junction. For example, in language learning, some students have significant activation in the left brain language area and are better at logical memory; And some students have a higher level of participation in the right brain visual spatial area, which is suitable for situational learning. By comparing and analyzing students' brain activation patterns, teachers can clearly identify their learning styles (such as visual, auditory, kinesthetic) and cognitive strengths (such as logical reasoning and visual thinking), and then develop personalized teaching plans - adding inquiry based tasks for students with prominent logical thinking, designing visual learning activities for students with dominant visual thinking, and truly achieving precise teaching of "highlighting strengths and avoiding weaknesses".

In terms of intervention for learning difficulties, near-infrared brain imaging can accurately locate the root cause of the problem and enhance the targeted intervention. Learning difficulties are not a singular issue, but may involve different types such as attention deficit, language processing disorders, and insufficient working memory. Traditional interventions often adopt a "one size fits all" approach, with varying degrees of effectiveness. Near infrared brain imaging can monitor in real-time the activation status of brain regions in students with learning difficulties when completing specific tasks such as reading and computing. If the activation of the middle temporal gyrus (language processing core area) is insufficient during reading, there may be speech recognition disorders; If the activation of the top inner groove (quantity processing area) is abnormal during calculation, it may be a numerical defect. Based on these objective data, educators can avoid blind intervention and match personalized intervention plans for students - conducting phonics training specifically for students with speech disorders and designing progressive memory reinforcement tasks for students with insufficient working memory.

In addition,Near infrared brain imagingIt can also dynamically track the effectiveness of teaching and intervention, forming a closed-loop optimization. During the implementation of personalized teaching, regular monitoring of the activation changes in relevant brain regions of students can determine whether the teaching method is suitable; In the intervention for learning difficulties, the activation level of several prognostic target brain regions gradually approaches that of normal students, indicating the effectiveness of the intervention plan. Otherwise, the strategy should be adjusted in a timely manner. This dynamic evaluation model avoids the drawbacks of traditional teaching that relies on intuition for adjustment, making "teaching according to aptitude" and interventions for learning difficulties more scientific and sustainable.

With the popularization of technology and the accumulation of data, near-infrared brain imaging is expected to achieve wider applications in the field of education. It can not only provide precise guidance for classroom teaching, but also support special education, lifelong learning and other scenarios, promote the comprehensive improvement of education quality, and enable every student to achieve development in an education model that suits themselves.