The Transformation Path and Innovation Strategy of Teaching Mode

in Educational Enterprises Under Data Empowerment

Zitong Chang

Beijing 21 Century School, Enjizhuang 46 Hao, China

Keywords: Data Empowerment, Transformation of Educational Model, Innovation Strategy.

Abstract: Along with the continuous development progress and innovation of digital techniques, digital technology has

entered people’s lives. The Educational industry is undergoing profound changes. Digital technology in

education can improve the level of individualized learning and data-driven educational process management

to new heights. The research of this article aims to analyze the specific paths and innovative strategies for the

transformation of new teaching models empowered by data in educational enterprises under the empowerment

of big data in the new era, through individualized data analysis, AI intelligence director, digital classrooms,

cross-campus cooperation educational models, etc. According to the case study of Dingtalk, TAL AI teaching

assistants, and Cloud classroom, verifying the transformation and innovation path of the new teaching model

empowered by data can efficiently improve the quality of teaching and the adaptability to individual students.

Finally, proposing the importance of enhancing teachers’ adaptability, popularizing low-cost implementation,

and completing their cultivation system. The research results show that Data empowerment will be

continuously improved and completed, to increase students' interest in constantly exploring learning fields,

improve the quality of teachers' teaching, and be more committed to cultivating diversified talents.

1 INTRODUCTION

In today's era, Technology develops quickly, and the

demand for diversified, high-quality, and

interdisciplinary talented people is continuously

increasing every day in society. Traditional teaching

methods and teaching content are more focused on

rote memorization, which cannot satisfy the different

needs of different talents in today's society.

The digital educational system allows students to

grow up in a technological environment, which can

quickly synchronize society’s progress and

development in the current era.

Through this way could benefit their future lives,

children could better adapt to society for their future.

Innovative education companies are using

technological advancements and data-driven

approaches to deeply understand students' learning

methods, performance, preferences, and so on.

Simultaneously, that could also enable the

educational industry to develop more effective

teaching models, optimize educational resources, and

ultimately improve the quality of education.

https://orcid.org/0009-0003-0359-2064

Therefore, exploring educational industry is the

Transformation Path and Innovation Strategies of

Teaching Models under the Enabling Role of

Educational Enterprise Data. It not only has important

academic significance but also is an urgent necessary

practical need. Along with the technology and

educational industry’s rapid development, many

scholars have contributed to the innovation of

educational technology, the transformation strategy

of teaching ways, and the innovation and reform of

the education system.

The predecessors analyzed the teaching methods

of Advanced Mathematics by analyzing the explicit

and invisible problems existing in the modern

teaching mode from the aspects of teaching ways,

elements, and evaluation methods. This paper

proposes the role path of ideological and political

teaching of the "Advanced Mathematics" course

under the empowerment of data. Proposing that the

role path of ideological and political teaching of

"Advanced Mathematics" course under the

empowerment of data.

Chang, Z.

The Transformation Path and Innovation Strategy of Teaching Mode in Educational Enterprises Under Data Empowerment.

DOI: 10.5220/0013850100004719

Paper published under CC license (CC BY-NC-ND 4.0)

In Proceedings of the 2nd International Conference on E-commerce and Modern Logistics (ICEML 2025), pages 587-592

ISBN: 978-989-758-775-7

587

The introduction of artificial intelligence as an

important resource, through an intelligent platform to

create some dynamic situational study cases. (such as

infiltrating the sense of responsibility through

epidemic data modeling) indicates that student

participation increased 25% but emphasizes the need

to be vigilant against the weakening of emotional

interaction caused by technology dependence (Ma,

2025).

In the previous research, they evaluated other

online teaching platform applications. Analysing of

Edmodo, Zoom, and Google Meet online physical

education platforms. The result showed that the real-

time platform, Zoom, has a great advantage of skill

display, but this application obviously faces the

problem of low accuracy in evaluation, for example,

it is difficult to capture the actions and details, also

Zoom cannot be used without a network; Although

Edmodo's asynchronous management feature can

improve learning flexibility, there are still cases

where the speed of teacher feedback to students is still

not timely (Gao et al.,2025)

The study topic of this paper is the transformation

strategy of these education enterprises under the

empowerment of data. At the same time, the teaching

level of teaching effect in the education industry is

different, the arrival of technology can better offset

this loophole in the education industry. This paper

uses the method of literature research, to classify and

compare with the advantages and disadvantages of

traditional education enterprises and modern

education enterprises, and some relevant theories of

the teaching pattern.

Using case studies and literature, in- depth

discussion about the feasibility of the educational

enterprises and the advantageous innovation

strategies of combining technology and education

enterprises.

2 INNOVATIVE DIRECTION OF

TEACHING MODE OF DATA

EMPOWERMENT

2.1 Cross-School Cooperation

With the development of science and technology,

there a new opportunity for cross-school cooperation,

different schools can share their resources through

one unity platform, breaking the geographical and

resource restrictions between schools.

The system of establishing of school-enterprise

cooperation practice teaching system under the big

data and Internet industry (Li, 2022). Sharing those

high-quality educational resources and also could

promote communication between schools and learn

from each other.

In terms of resources, different schools have

different teaching courses and teaching modes, there

can be an integrated through online platforms.

Teachers recorded the teaching videos and posted

them on online platforms for students to learn and

browse, students could watch different subjects or

courses with different characteristics. The platform

can use data algorithms to classify, index, and label

various types of courses, which is convenient for

other schools to search and filter. And through the

number of views, scoring or evaluation, and other

functions to recommend and sort.

In terms of cooperation, students learn online

through the online platform, and teachers teach

together. Complete the course by taking credits and

completing the mid-term assessment. In addition,

students can input their own needs, and let the AI help

recommend the right teacher, matching them with the

most suitable learning method and teacher. At the

same time, some courses can also be taught by

teachers from different schools to present a richer

classroom together.

In addition, the teaching platform can also use

data empowerment to analyze students' learning

status, test their class status and mastery of

knowledge points, optimize the curriculum, and then

adjust in future classes.

At the same time, based on the analysis of

students' homework completion, test scores and

course feedback in the cross-school curriculum, the

strengths and weaknesses of the curriculum can be

understood, so that the participating schools can

jointly improve the curriculum content and teaching

methods.

2.2 Personalized Learning Scheme

The level of students is different, and students need a

teacher who is more suitable for oneself and make

tailored student programs to help students study.

Teaching integrated with data can provide a series of

students' information. Different students should

match different study cases, such as according to their

interest and their different ability to match with

different teacher and study methods.

In teacher matching, data can play an important

role, the platform could collect students' interests and

needs. At the same time, they could still collect

teachers’ teaching styles, teaching methods, student

evaluations, etc. Combine these resources together

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and matching the most suitable group of teachers and

students. The strong online teaching power helps the

education industry to achieve outstanding

development (Qizi and Fakhridinovna, 2025).

In terms of the formulation of the study plan, by

using the precise analysis of data, the platform could

provide the students with the most fitful homework

quantity and the appropriate practice test.

For example, assign math problems to student A,

when student A makes a mistake in one problem, the

plat form will show there answer the solving process,

and rapidly Extracting a similar type of question from

the question bank, to make sure students are well

understand on these types of question.

2.3 Online Learning

Timely data has brought unprecedented opportunities

for diverse learning of education. Online digital

platforms can provide a large number of learning

resources for students or teachers, breaking time

limitations and geographical restrictions.

High-quality teachers applying remote teaching

classes through network technology. Students could

find their interest field, and according to the online

platform, some matching teachers came to give me

remote lessons.

These studying forms could profoundly

excavated students’ hobby, exploring mastery

unknown area. For example, student is interested in

economics, students can find some relevant teachers

to study and contribute to a "Virtual Enterprise

Financial Center" to test the students' learning levels

(Shen，2025).

For some remote areas and Regions with scarce

resources, remote study could provide an opportunity

for those students to study. By using the platform, the

students in remote mountainous areas can also learn

some things that are the same as those learned by

children in cities.

So that could contract the difference in the

educational gap. Also, Students who take courses

remotely can also interact with their teachers. The

teachers can ask questions or provide answers.

The platform can record the students’

participation in class, the frequency of their questions,

the general situation, etc. According to those data,

students could fully realize students study situation.

Automation of libraries is also an important

manifestation of data empowerment. In an automated

library can taking classification and tagging. By

technology, techniques can detect the positions of

books and their borrowing status. Students can make

reservations or conduct electronic reading on the

platform.

The platform also could gather some data, making

a Recommendation based on the student's learning

history and reading data.

2.4 Digital Classroom Management

The experience of digital teaching activity has

significantly improved the teaching effect, teaching

experience, and the teaching quality of students'

learning.

In the traditional class style, Students' attention is

easily distracted, and teachers need some new

teaching things to improve the students' listening and

learning.

Multimedia presentations, viewing, and 3D audio

simulations are a great solution to this problem.

Combining the Pictures, videos, texts, etc. And

showing this studying material on the classes could

efficiently enhance students' interest in learning

mathematics and curiosity. For example, there are

many function formulas which need students to

memory. Teachers could find some related function

teaching videos or brainwashing function recitation

songs on the Internet to help students learn, those

studying contents are very interesting and could

efficiently improve students' interest in learning

mathematics and curiosity.

The audio 3D simulation environment creates a

good learning atmosphere and allows students to fully

immerse themselves in their studies. In contextual

situations, it can help students to have a better

understanding of knowledge. For example, in

studying English listening and speaking, students can

understand how people speak in different scenarios

through 3D simulated language scenes. Students can

talk to people in these scenarios and practice their

language and speaking skills. Finally, the system will

according to their saying make a score and evaluate

to provide some advice for changes. In this way,

students will understand the application of English

more, intuitively, and at the same time, they will be

able to learn some colloquial expressions.

2.5 Intelligent Assessment

In the digital transformation of education, Intelligent

assessment is also a key part. AI has many functions

such as correcting students' homework and prediction

of knowledge point mastery, which greatly reduces

grading errors and improves the speed of feedback

and also provides more targeted teaching and learning

support for teachers and students.

The Transformation Path and Innovation Strategy of Teaching Mode in Educational Enterprises Under Data Empowerment

589

iFLYTEK's "Smart Classroom" system is a

successful application case of intelligent assessment

in the field of education. iFLYTEK's Smart

Classroom system combining with many progressive

intelligence techniques, providing a comprehensive

Intelligent evaluation solutions for teaching. In the

aspect of AI grading assignments, the Smart

Classroom system can automatically correct

assignments in a variety of subjects, whatever the

subject's question or the object's question, the

technology could give an accurate rating and detailed

feedback. For instance, the correction of Chinese

composition doesn't just score the metrics of the

article but also provides a specific modification

suggestion, such as enriching content, optimizing

sentence structure, etc., which can help students

increase their writing ability.

Smart Classroom system through analysis the

resources from their study process and many aspects,

AI could predict students' mastery of knowledge

points. Teachers could directly view every student's

mastery of each knowledge point, and the overall

learning progress and weak points of the class,

teachers could create individual study schedules for

students based on that data, For students with weak

basic knowledge, the teacher could leave some basic

knowledge and us AI to help students organize and

summarize those wrong question and then help

students consolidate their knowledge.

3 CASE ANALYSIS

3.1 TAL AI Teaching Assistant

Under the transformation path and innovation trend

of integrating technology into the teaching mode of

education enterprises, TAL takes advanced education

concepts to lead the development of the education

industry, making the AI assistant into the teaching

process, and providing accurate and efficient study

support.

TAL AI assistant has Powerful language

processing and technical algorithms. They have a

powerful ability to analyze students' homework. After

students submit their homework, AI teaching

assistants first use optical character recognition

technology, transform the handwriting into digital

information, and then identify whether the answer is

right or wrong. When they determine the answer, they

will still drill down into every detail of the problem-

solving step. AI teaching assistants are able to break

down every step of the inference process written by

the student and understand the logic behind it.

Through analysis of a large number of similar

question types and solution data it can detect students'

wrong tendencies in a certain type of questions,

summarize students' mistakes, and judge the causes

of errors. In addition, proposing specific solutions to

the question, and providing the relevant knowledge

materials for students to review, such as detailed

explanations of geometric theorems involved,

application examples, etc., to help students

comprehensively and have a better understanding of

geometric proof methods.

3.2 “Getting” App

"Getting" APP has already got the precisely data

analysis, and continuously optimization of the course

recommendation algorithm. The platform leverages

its powerful algorithms and features to prioritize

content that users are interested in. Its course could

cover many dimensions, such as famous business

professor analysis it strategic of various industries

from the theoretical level. By learning some close

factors, and establishing a systematic strategic

knowledge framework for learners, there are still

some successful businessmen to share about their

business strategy and experience, make follow-up, or

potentially change their interest in recommendations.

For example, after finishing studying the whole basic

classes, the system could suggest more complex

studying content and the knowledge framework or

some connecting classes.

4 THE DISADVANTAGES OF

TRADITIONAL TEACHING

MODE AND THE ADVANTAGES

OF DATA EMPOWERMENT

TEACHING MODE

In their teaching methods, the traditional pattern,

whether it is elementary school, junior high school, or

university, the form of the classes most are teachers

standing in front of the class and talking about their

knowledge point and students listening to their

teacher. In this case, the teacher cannot focus on

everyone. And the participation of student

engagement rate is very low. Students are very prone

to distraction and lack concentration during class.

However, in data-enabled education, AI could focus

on every student and use the education platform can

provide AI guidance to help teachers teach.

At the same time, the data is used to detect the

attention concentration of students, and the statistics

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provide better teaching time and teaching mode. Each

student is provided with their own study time

planning, class attention, etc.

In the evaluation of education, most teachers just

rely on students' scores and ignore their studying

processes, practical skills, and critical thinking or the

efforts made by the students.

The scoring criteria in the present era are

relatively simple, and most of them rely on rote

learning, students cannot make a deep understanding

about the theory of “studying is for themselves, it is

not for score.” Combined with education empowered

by technology and data, it can calculate students'

whole learning time, practice and innovative

thinking, at last AI could give the final evaluation

from a variety of aspects (Spaska et al., 2025).

In terms of content extension, in modern society

with advanced technology, the update of knowledge

is also accelerating day by day. Traditional textbooks

cannot fully adapt to the development of society and

the progress of The Times (Qizi and Fakhridinovna,

2025). that will make students disjoint with the whole

society, and that will also make a knowledge “gap”.

Most of the school’s teachers in schools have not

studied or worked in professional positions, so the

teacher could only spread the knowledge spreading,

they could not teach students the skills that might be

used in their future careers (Yin,2020).

For instance, in computer technology courses,

textbooks might still be introducing outdated

software versions and technologies. That is a gap

between the knowledge students acquire and the

actual demands of the industry, it will make students

difficult to quickly adapt to the requirements of their

job positions. The teaching model empowered by data

can teach students some relatively practical

techniques or knowledge.

5 SUGGESTIONS

Teaching enterprises and energizing data

technologies coalesce have made teaching quality,

resource distribution and these such aspects a success

and progress. But the educational industry’s

innovation and development are also facing many

challenges. The current traditional study class have a

low fusion degree with the online platform in order to

Further promote the educational industry to a higher

quality of development, fully play to the positive role

of data in teaching and put forward the following

pertinent and actionable suggestions from the three

key dimensions of improving the teacher training

system, integrating educational resources and

establishing a scientific evaluation system (Setyadi

et al.,2025).

5.1 Improve the Teacher Training

System

Carrying out systematic data training courses and

letting the teacher have the ability to interpret some

simple data statistic version. For example, by

providing some specialized technical courses and

conducting training for individual students. This way

could also cultivate teachers' Adaptability and the

ability to evaluate teaching effectiveness through data

utilization and can effectively adjust one's teaching

strategies and methods using data charts.

Implement specific training for the educational

technology equipment, such as some the use of online

platforms, which can help teachers to be familiar with

those teaching platforms, and they could better use

these platforms which is under the data

empowerment, to carry out the live teaching,

Assignment distribution, discussion organization,

etc. At the same time, in the learning process, teachers

could learn some innovative educational concepts,

Breaking away from the traditional teaching methods.

The new creative teaching ideals, encouraging

students to engage in classes positively and actively,

cultivating their innovative thinking and practical

abilities.

5.2 Establish Evaluation System

The revolution of assessment methods of Digital

grades represents everything is necessary, A

diversified assessment system can provide the best

solution of the disadvantage on the traditional

assessment. In addition to the studying score, the

evaluation system should also include students'

Regular performance evaluations, including but not

limited to, attendance rate, classroom performance,

practical ability and innovation ability, etc.

Comprehensively and fully assess students'

performance, and provide a Evaluation and

assessment to students. With the help of data and

intelligence to make the assessment system more

intelligent, for example, take advantage of the

intelligence modify system, Automatic correction of

students' homework and test papers, which is more

efficient and higher accurate than artificial,

technology still analyzes students’ completion status

and answer performance of students' homework,

accurately understand the students' knowledge gaps

and other issues.

The Transformation Path and Innovation Strategy of Teaching Mode in Educational Enterprises Under Data Empowerment

591

6 CONCLUSION

This essay is a deep exploration about the innovative

development of the education model empowered by

data. Digital techniques are becoming the core

production of the reformation, and the reforming of

the education industry will also be imperative.

According to the extensive analysis In-depth

Exploration of the Teaching Model Empowered by

Big Data in the New Era.

Starting from multiple dimensions such as

personalized data analysis, AI intelligent guidance,

digital classroom construction, and cross-school

cooperative education models, learning about the

innovative paths and transformation directions of the

new teaching mode. The research result shows that

the data-enabled teaching model is in the process of

continuous optimization and improvement.

Accepting the technology strategy can motivate

student’s studying interest, improve teachers’

teaching level, inject strong impetus into the

cultivation of pluralism talented students, push the

educational industry to high-stage development, and

create a brand-new situation for the innovative

development of education.

REFERENCES

Cheng, Y.C., 2020. View of the educational reform

dilemma: Balancing tradition, innovation, and equity.

https://globalweb1.com/index.php/ojs/article/view/191

/306.

Gao, Y., Zhu, L., Tian, M., 2025. SWOT analysis of the

application of three digital media in OLPE physical

education teaching: Edmodo, Zoom, and Google Meet.

BMC Medical Education 25(1).

Kustitskaya, T.A. et al., 2023. Designing an education

database in a higher education institution for the data-

driven management of the educational process.

Education Sciences 13(9), 947.

Li, D., 2022. Construction of school-enterprise cooperation

practice teaching system under the big data internet of

things industry collaborative innovation platform.

Computational Intelligence and Neuroscience 2022, 1–

11.

Mali, 2025. Research on the teaching of ideological and

political education in higher mathematics courses

empowered by artificial intelligence. Creative

Education Studies 13(2), 75–83.

Matthew, U., Kazaure, J., Okafor, N., 2018. Contemporary

development in e-learning education, cloud computing

technology & internet of things. EAI Endorsed

Transactions on Cloud Systems 169173.

Qizi, S.H.D., Fakhridinovna, I.D., 2025. Distinction

between traditional and modern educational system.

https://advancedscienti.com/index.php/AJMB/article/v

iew/1310.

Setyadi, A. et al., 2025b. Risk management, digital

technology literacy, and modern learning environments

in enhancing learning innovation performance: A

framework for higher education. Education and

Information Technologies.

Shen, L., 2025. Research on the application of modern

digital technology in advanced financial accounting

education. International Journal of New Developments

in Education 7(1).

Spaska, A. et al., 2025. Evaluation of innovative teaching

methods using modern information technologies.

Journal Ilmiah Ilmu Terapan Universitas Jambi 9(1),

422–440.

ICEML 2025 - International Conference on E-commerce and Modern Logistics

592