伴鱼智学--小初高全科AI名师辅导
Not in any tracked top chart right now.
Updated 25 Oct 2026 · rankings refresh through the day
DeveloperWuhan Qinxuan Technology Co., LTD
CategoryEducation
PriceFree
Released
Rating★ 4.9 (37)
Version2.3.61010
Age rating4+
First seen by us
24 Oct 2026
Rating
4.9 ★
37 ratings
Measured
伴鱼智学--小初高全科AI名师辅导 on the App Store
App details
App ID
1476519245
Publisher
Wuhan Qinxuan Technology Co., LTD
On the store since
Sep 2019
7 years on the store
Minimum OS
iOS 13.0+
iPhone 6s and later
Devices
iPhone · iPad
Universal purchase
Content rating
4+
Languages
3
EN JA ZH
Size
198 MB
Where it ranks now
Every top chart it appears in across 30 countries.
| Country | Charts | Rank |
|---|---|---|
| Not charting right now. | ||
Ratings
App Store, worldwide.
Rating
4.9 ★
37 ratings
Measured
Ratings
37
Measured
About 伴鱼智学--小初高全科AI名师辅导
About the PalFish Zhixue AI New Thinking Course
The PalFish Zhixue AI New Thinking Course is a learning solution that uses mathematics as its foundation and combines expert-led instruction with an AI tutor. Integrating the principles of China’s New Curriculum Standards, systematic thinking training, and end-to-end one-on-one personalized guidance, the course helps children build a solid foundation, develop inquiry skills, and cultivate proactive learning habits and responsible AI literacy.
Teaching Highlights
“Three Bigs and One Real” Curriculum Framework
The curriculum organizes knowledge around Big Concepts, builds coherent structures through Big Units, drives knowledge transfer through Big Tasks, and places learning and application in real-life contexts. Rather than simply memorizing solution methods, the course emphasizes how children can identify problems, form hypotheses, and verify conclusions.
Expert-Led Courses + AI Tutor
Course content is developed by subject-matter experts. Drawing on curriculum-standard interpretations, course knowledge, learning data, and question-bank resources, the AI tutor provides immediate, continuous, one-on-one interactive support—ensuring personalized guidance both in and beyond the classroom.
Data-Driven Learning Closed Loop
The program establishes a learning loop covering learn, explain, practice, assess, test, and review. It collects data from learning activities, exercises, assessments, and reviews to dynamically generate practice tasks and review plans, enabling continuous progress from knowledge mastery to skill transfer.
Key Features
AI One-on-One Interactive Lessons
During lessons, students can ask questions at any time, select specific areas for help, review tutoring records, and receive personalized prompts. The AI tutor provides targeted guidance based on each child’s current level of understanding.
Inquiry-Based Problem Solving
Problem explanations follow a structured process: understanding the question, receiving strategic hints, reasoning step by step, summarizing key ideas, and applying the approach to similar problems. Instead of directly giving answers, the program encourages children to ask questions, think independently, and solve related problems.
Precise Learning Analytics
Learning data is analyzed across dimensions such as knowledge mastery, answer accuracy, study time, learning activities, practice, and assessments. This helps identify weak areas and provides a foundation for personalized learning decisions.
Smart Practice and Review Planning
Practice questions are selected based on each student’s learning profile, while memory algorithms determine the appropriate review content and pace. This makes practice, evaluation, and review more targeted and reduces inefficient repetition.
Homework Planning and Automatic Grading
Students can submit homework through photos or voice recordings. The system provides task planning, timed reminders, automatic checking, and error feedback, helping chil
The PalFish Zhixue AI New Thinking Course is a learning solution that uses mathematics as its foundation and combines expert-led instruction with an AI tutor. Integrating the principles of China’s New Curriculum Standards, systematic thinking training, and end-to-end one-on-one personalized guidance, the course helps children build a solid foundation, develop inquiry skills, and cultivate proactive learning habits and responsible AI literacy.
Teaching Highlights
“Three Bigs and One Real” Curriculum Framework
The curriculum organizes knowledge around Big Concepts, builds coherent structures through Big Units, drives knowledge transfer through Big Tasks, and places learning and application in real-life contexts. Rather than simply memorizing solution methods, the course emphasizes how children can identify problems, form hypotheses, and verify conclusions.
Expert-Led Courses + AI Tutor
Course content is developed by subject-matter experts. Drawing on curriculum-standard interpretations, course knowledge, learning data, and question-bank resources, the AI tutor provides immediate, continuous, one-on-one interactive support—ensuring personalized guidance both in and beyond the classroom.
Data-Driven Learning Closed Loop
The program establishes a learning loop covering learn, explain, practice, assess, test, and review. It collects data from learning activities, exercises, assessments, and reviews to dynamically generate practice tasks and review plans, enabling continuous progress from knowledge mastery to skill transfer.
Key Features
AI One-on-One Interactive Lessons
During lessons, students can ask questions at any time, select specific areas for help, review tutoring records, and receive personalized prompts. The AI tutor provides targeted guidance based on each child’s current level of understanding.
Inquiry-Based Problem Solving
Problem explanations follow a structured process: understanding the question, receiving strategic hints, reasoning step by step, summarizing key ideas, and applying the approach to similar problems. Instead of directly giving answers, the program encourages children to ask questions, think independently, and solve related problems.
Precise Learning Analytics
Learning data is analyzed across dimensions such as knowledge mastery, answer accuracy, study time, learning activities, practice, and assessments. This helps identify weak areas and provides a foundation for personalized learning decisions.
Smart Practice and Review Planning
Practice questions are selected based on each student’s learning profile, while memory algorithms determine the appropriate review content and pace. This makes practice, evaluation, and review more targeted and reduces inefficient repetition.
Homework Planning and Automatic Grading
Students can submit homework through photos or voice recordings. The system provides task planning, timed reminders, automatic checking, and error feedback, helping chil
Latest updates
2.3.61010
1. Experience optimization
2. bug fix