Who oversees personal growth while AI manages learning? Qiming Talent offers a new educational solution driven by the dual engines of "AI + Moral Education".

Recently, the "Tianli · Zhi Education 'AI + Moral Education' Innovation Summit" concluded in Guangyuan, Sichuan. In recent years, AI education products have never lacked applause, but what is missing is the persuasiveness that makes school operators truly dare to use and use with peace of mind. This summit marked the first full public presentation of Qiming Daren's "AI + Moral Education" education system: how the product solves pain points, how the effect is verified, and where the confidence comes from.

Pain Points: Why "Using AI" Does Not Necessarily Lead to "Better Learning"

The market is never short of AI education products. Xia Chen'an, Global Director Partner of McKinsey and Head of High-Tech Business in Greater China, pointed out at the summit: Most mainstream solutions focus on single-point capabilities, "mainly concentrated at the 'learning' level". The predicament of students has never been a single-point problem —

Unfocused learning: It is unclear where the weaknesses lie, and time is not spent on the most critical parts;

Unmasterable learning: The weaknesses are identified but cannot be overcome;

Unmotivated learning: The methods are available, but the learning state is lost;

Unsustained learning: Students slack off and fall behind halfway through the sprint.

The four problems are intertwined and will not occur one by one according to the product boundary. Tools that only solve one link are destined to be unable to take responsibility for academic performance — this is the watershed of "AI + Education": single-point tools solve "functions", and a complete system can solve "results".

Solution: Dual-Engine Closed Loop, Covering Four Major Pain Points at One Time

The core of AI intelligent learning products is to let the two capability chains of AI and moral education each take charge of their own part and form a closed loop.

The AI engine is responsible for "learning accurately and learning well": it is backed by the real learning situation data of nearly 60 schools under Tianli and more than 145,000 students; the self-developed algorithm diagnoses the weak links of each student and generates a dynamically adjusted "personalized plan for each student"; the "learning-practice-assessment-review" cycle ensures that problems are consolidated in a timely manner; the results of each practice are fed back to the system to calibrate the next round of diagnosis, forming a data closed loop.

The moral education engine is responsible for "learning with motivation and learning persistently": it is supported by a team of educators who have been rooted in the front line for a long time — they are experienced enough to perceive fluctuations in students' learning state, have layered incentive methods instead of rigid preaching, know how to create a positive environment to drive students' engagement through collective atmosphere, and attach great importance to companionship with full-cycle tracking and immediate intervention when state fluctuations occur. Technology determines the precision of learning, and moral education determines the height of growth.

Confidence: 24 Years of Deep Cultivation in Education, Rooted in Real Campuses

Why is this system credible? The answer lies in its native practical background.

Most AI education products follow the path of "building the model first, then finding applicable scenarios"; Qiming Daren has taken a completely different path — it is backed by Tianli's 24 years of accumulated experience in running schools: covering 18 provinces and municipalities with nearly 60 schools, more than 1 billion real teaching and research data are not purchased corpora, but real campus scenarios that happen every day; every function is first tested and verified in the regular classes of Tianli's own schools before being promoted to external partners — products rooted in real campuses are Qiming Daren's unique source of confidence.

It also has outstanding technical qualifications: it has been recognized as a national high-tech enterprise and a Sichuan Province "Specialized, Refined, Differential and Innovative" enterprise, its self-developed AI learning companion large model has passed the national filing, and it holds more than 50 patents.

The effect has also crossed the threshold of large-scale application: in the past year, among more than 1,000 students using the AI intelligent learning product, the vast majority have achieved performance improvement, and more students have crossed the key target line. The integrated "AI + Moral Education" model has verified the practical effect of teaching students in accordance with their aptitude to a certain extent.

Co-construction: A Replicable Implementation Path

This system is not "exclusive" to Tianli. The implementation framework demonstrated at the summit has three parts: real-scene model — enter the regular classes of pioneer schools such as Guangyuan Tianli School in Sichuan to observe daily operation rather than rehearsed demonstrations; complete system — teaching research, moral education, management and data capabilities are packaged for output, with standard access paths; symbiosis mechanism — replace purchase with co-construction, so that the real scenarios of schools can continuously feed back the iteration of the system.

This is exactly the future direction of Tianli: to upgrade from a school-running group to an innovation R&D, practical implementation and industry empowerment platform for private basic education, and build a national private "AI + Moral Education" symbiosis and cooperation platform. Luo Shi, Chairman and President of Tianli International Board of Directors, said: "If private education wants to get out of the dilemma, it cannot go far by working alone. The future of the industry must be based on collective wisdom, mutual support, symbiosis and win-win results."

Back to the Question: AI Takes Charge of Learning, Who Takes Charge of Growth?

Those who are most familiar with education will always be in charge of growth. What AI takes over are the repetitive and precise tasks such as diagnosis, planning and grading; what it gives back is the attention every teacher pays to their students — with every step forward of technology, the value of educators will not be replaced, but amplified.

Let every child learn accurately, master knowledge well, and more importantly, stay motivated and persistent in learning; let every school become a place where every child is seen. This is the answer from Qiming Daren.