Design of College Oral English Intelligent Online Course Based on

Big Data Analysis

Xiaohui Zhang

Department of Public Course Teaching, Chuzhou City Vocation College, Chuzhou 239000, China

Keywords: Big Data Analysis, Colleges and Universities, Spoken English, Intelligent Online Courses.

Abstract: The online course teaching of spoken English intelligence in colleges and universities has the characteristics

of big data such as a large number of registered users, massive real data and dynamic data analysis. From the

educational point of view, the convenient access to information in the era of big data brings opportunities for

educational reform, especially the technological progress brought by big data is of great significance to

educational model innovation. The effective introduction of big data technology not only helps to improve

the construction quality and use efficiency of curriculum resources, but also helps to optimize the research

and development mechanism of curriculum resources, so it has great research and promotion value. In

intelligent online courses, students' dominant position, which has been neglected by traditional classrooms,

has been paid attention to again. The online intelligent course emphasizes the correspondence and cooperation

between teaching and learning, emphasizes the degree of transformation of students' oral English knowledge,

and requires oral English teaching to serve the improvement of students' ability. Through big data technology,

this paper analyzes and grasps each student's oral English learning preference and learning progress, which

can stimulate students' interest in oral English learning and realize differentiated oral English teaching.

1 INTRODUCTION

The arrival of the big data era has not only changed

people's lifestyle, but also faced a huge opportunity

and challenge for all walks of life. Big data

technology has been popularized, greatly facilitating

people's production and life. In the field of education,

big data technology can also play a role, which can

effectively promote the development of digital

English teaching in colleges and universities. The

intelligent online teaching of spoken English in

colleges and universities has the characteristics of

large numbers of registered users, massive real data,

dynamic data analysis and other big data. From the

perspective of education, the convenient access to

information in the era of big data has brought

opportunities for educational reform, especially the

technological progress brought by big data is of great

significance for the innovation of educational model

(Chen, Huang, et al. 2019). The effective introduction

of big data technology not only helps to improve the

construction quality and use efficiency of curriculum

resources, but also helps to optimize the research and

development mechanism of curriculum resources, so

it has great research and promotion value. The

intelligent online teaching of spoken English provides

teachers with a simple way of investigation, which is

easy to assess and can improve students' learning

ability in listening and speaking. Intelligent online

teaching of spoken English has great potential. It can

hold lectures, dubbing, debates and other activities on

the Internet to stimulate students' interest in learning

and improve learning efficiency (Yan, Zhou, et al.

2022). This kind of autonomous learning is not only

reflected in the time and place of learning, but also in

the autonomy of learning content, learning progress,

learning mode and learning methods. However, the

current online courses are made with the idea of

designing classroom teaching, which is no different

from offline classroom teaching. Students are not

interested in the content of online courses without

considering the characteristics of learning.

The intelligent teaching of spoken English in

colleges and universities has broken the traditional

teaching mode. By adding advanced digital

technology to teaching, the way of thinking of

English teachers has changed, and the relationship

between teachers and students has changed. The

research on online intelligent teaching of spoken

English will be a further innovation of online teaching

134

Zhang, X.

Design of College Oral English Intelligent Online Course Based on Big Data Analysis.

DOI: 10.5220/0013536800004664

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

In Proceedings of the 3rd International Conference on Futuristic Technology (INCOFT 2025) - Volume 1, pages 134-139

ISBN: 978-989-758-763-4

methods and a beneficial exploration of the concept

of intelligent teaching. It will not only help to

improve the English learning level of online

expanded students, but also have an important

meaning for intelligent teaching of spoken English in

colleges and universities (Tan, 2019). In combination

with the current situation and development trend of

college oral English intelligent teaching reform, it is

still necessary for scholars to carry out research on

online course design of oral English intelligent

teaching based on big data analysis and change the

traditional oral English teaching mode, which is a

beneficial exploration of innovative education and

teaching methods. How to apply big data conditions

to promote education development still requires in-

depth research (Zhang, Zhao, et al. 2021), (Chu, Sun,

et al. 2017). As the key content of English teaching,

oral English teaching in colleges and universities has

also started to break through traditional innovation

activities in the era of big data.

2 DESIGN OF COLLEGE ORAL

ENGLISH INTELLIGENT

ONLINE COURSE BASED ON

BIG DATA ANALYSIS

2.1 Proceed from the Educational

Needs

Oral English teaching aims at improving students'

English communicative competence, transmitting

English language and culture, and cultivating English

practical ability, which is the main way to improve

students' comprehensive quality. Compared with the

traditional oral English teaching, the new oral English

teaching method can better meet the learning needs of

students, and the university classroom is no longer the

main front of education, and students can take

advantage of the fragmented time to learn English

knowledge anytime and anywhere (Zhang, 2020).

This online and offline integrated teaching mode has

gradually been recognized by teachers and students.

This traditional mode of education will directly affect

the effectiveness of the cultivation of students'

autonomous learning ability, and students' level is

uneven, making it difficult to teach students in

accordance with their aptitude, thus students lack

innovative consciousness, innovative thinking and

innovative ability (Wang, 2021). Among many

influencing factors, the educational demand has a

high degree of influence on the intelligent online

course. Besides the requirements of educational

objectives, how to meet the teaching needs of teachers

also needs to be considered emphatically by the

intelligent online course. The college oral English

teaching mode based on big data analysis is shown in

Fig. 1.

Figure 1: College Oral English Teaching Mode in the Age

of Big Data

Students can use AI technology to detect their

own learning situation at any time, and find out the

weak points of their own knowledge in time. Through

targeted training, IBU's own knowledge system is

insufficient, and then their abilities in all aspects can

be developed. Through this "four step" model, we try

to make every student speak English and improve

their application ability (Tan, 2021). At the same

time, the learning platform can also build a question

bank by itself, that is, teachers can design their own

oral teaching content according to their own teaching

priorities and difficulties, and students can enter the

exercises to follow, practice and challenge. Through

big data technology, analyze and master each

student's oral English learning preferences, learning

progress, etc., and achieve differentiated oral English

teaching while stimulating students' interest in oral

English learning.

2.2 Proceed from Learning Needs

In intelligent online courses, students' dominant

position, which has been neglected by traditional

classrooms, has been paid attention to again. The

online intelligent course emphasizes the

correspondence and cooperation between teaching

and learning, emphasizes the degree of

transformation of students' oral English knowledge,

and requires oral English teaching to serve the

improvement of students' ability. In this process,

teachers should adjust preview content and teaching

Design of College Oral English Intelligent Online Course Based on Big Data Analysis

135

progress and control video time, and their teaching

methods can be carried out according to teachers'

"personalization", so as to attract students' attention

and preview effectively. Classroom stage: In the flip

classroom teaching, teachers get rid of the usual basic

knowledge teaching, answer the difficulties and

questions that students feedback before class and ask

questions about students' basic knowledge (Jin,

2017). "Share, set top, edit". Class groups can help

teachers to form different groups of students

according to their situation, and implement

hierarchical teaching. Students learn in class groups,

and teachers grade and evaluate in class groups.

Teachers can check students' reading, interaction

and scores in performance statistics. Starting from the

needs of students' oral English learning, the arranged

teaching contents, tools and methods should be

conducive to the cultivation and promotion of

students' ability. Teachers can check students'

reading, interaction and scores in performance

statistics. Besides daily interactive discussions and

comments, teachers can also use the class group

function to issue tests and exams, and evaluate and

grade all students. Of course, teachers should perform

their duties and evaluate students' preview before

class, learning attitude and implementation of

activities. This kind of teaching evaluation mode can

not only promote students to be positive, but also

innovate teaching methods.

2.3 Starting from Teaching Resources

Teachers and students actively interact with each

other and provide guidance to learning groups that are

lagging behind. Through communication and

understanding, teachers and students can narrow the

gap between teachers and students, improve students'

learning interest, thinking innovation and practical

application ability, and lay a foundation for future

social life. In the age of big data, traditional teaching

methods can no longer meet the needs of college

English teaching. Digital technology is increasingly

used in teaching. Digital English teaching is

becoming more and more mature. It is inevitable for

teachers to change teaching methods and master

digital teaching methods. Teachers make micro

lesson videos before class of intelligent online

courses, control teaching objectives in many aspects,

enrich teaching content, and ensure that teaching

videos can also attract students in an unattended

environment (Liu, Chen, et al. 2020). Through

learning micro lesson videos, students can grasp the

practice time independently and watch the

fragmented learning repeatedly. In the era of big data,

college English teachers can make full use of online

education resources for intelligent oral English online

course teaching, especially when correcting students'

oral pronunciation, teachers can use pre collected

pronunciation skills, oral improvement cases, etc. to

improve classroom teaching efficiency.

Use intelligent online courses to carry out English

teaching, analyze the learning data of all online

students in general, and master the learning

characteristics of the overall students. At the same

time, the continuous learning data of each student is

analyzed to understand the learning situation of each

student. Students can practice following the assigned

dubbing clips before class, and use the software's own

functions such as verification of phonetic symbols,

original voice following, system scoring, and netizen

interaction to stimulate students' interest in practice.

Teachers can collect students' dubbing clips and

analyze voice problems, and give one-to-one

guidance on correcting sounds in class.

3 ANALYSIS AND DISCUSSION

3.1 Adhere to the "Student-Centered"

Teaching Philosophy

In the online course research of college oral English

intelligence based on big data analysis, we should

adhere to the "student-centered" teaching concept.

According to the data analysis of students' online

spoken English teaching, the following adjustments

are made in the follow-up online spoken English

teaching strategies: First, because the pronunciation

and intonation of words are the basis of learning

spoken English, we should increase the learning

content of words' pronunciation and intonation,

especially the practice of vowel pronunciation and

vivid intonation, and guide students to learn from

some movies and videos with standard pronunciation.

Online oral English teaching is "student-centered".

Teachers can analyze and mine the overall teaching

data of students, and then adjust teaching strategies

according to the results. Teaching objectives are

sometimes difficult to achieve, not necessarily

because of students' intelligence, but to a large extent

because teachers' teaching methods do not respect

students' cognitive development laws and cannot

arouse students' inner resonance.

Make full use of online teaching tools, for

example, uploading oral English test or oral English

training resources in the oral English learning

platform, requiring students to complete the test and

training tasks as required, and monitoring students'

INCOFT 2025 - International Conference on Futuristic Technology

136

learning situation through data analysis function. In

the "lead-in" link, teachers introduce the topic of oral

English teaching through pictures or discussions, and

stimulate students' interest through warm-up

activities. After activating relevant vocabulary,

teachers conduct oral English training, and teachers

issue oral English tasks. The teaching implementation

plan of the online course of oral English intelligence

is shown in Fig. 2.

Figure 2: Teaching Implementation Scheme in the Online

Course of Oral English Intelligence

The above learning methods are applicable to

students' autonomous oral learning. In order to ensure

the effect and quality of autonomous learning,

teachers should standardize the selection and use of

software, and use the social function of the software

to form an artificial intelligence learning group of the

class. Regular oral ability testing activities should be

held to guide students to correctly and fully use the

learning software and strive to improve their oral

practice ability. The similarity between students is

measured by the correlation coefficient. Assuming

that the collection of curriculum resources

representing the participation of students and students

in scoring is used, the similarity between student

and student

is:

()



∈

−=

ipi

RRjisim

)

Among them,

refers to student

score on

curriculum resources

, and

refers to student's

score on curriculum resources.

In all course resources, find out the course

resources with the highest score in

and

recommend them to students. It is predicted that

student

will score the course resources as follows:

()

njn

RRnusimP −×=



∈

)

Among them,

()

nusim ,

is the similarity

between student

and student

calculated

previously,

is the score of student

on course

resources

, and

is the average score of student

on course resources.

Then use the following calculation method to find

out the similarity between curriculum

resources

and curriculum resources

()



∈

−=

uiu

RRjisim

)

Among them,

represents student

score on

resources of the course, and

represents student

average score on curriculum resources.

Single guidance can make up for students' weak

points and develop their advantages. Both of them are

the concrete embodiment of the "student-centered"

teaching concept, which should also be implemented

in other online teaching designs. Finally, the

improvement of oral English fluency is based on the

basic abilities such as word pronunciation, intonation,

stress and rhythm. It is a skill that needs to be

accumulated and developed. It guides students to use

information teaching tools such as English fluency to

strengthen the frequency of English use and practical

application ability.

3.2 Data Analysis

Every student grows up in a different living

environment, and his learning style and thinking level

are different. To realize students' differences, we

should know and understand students' personality

characteristics and learning styles in various ways,

Design of College Oral English Intelligent Online Course Based on Big Data Analysis

137

formulate specific and targeted suggestions and

guidance for each student, and teach students in

accordance with their aptitude so that they can know

themselves, tap their potential, break through

themselves and develop better. Big data is also

conducive to helping students practice oral English

outside the classroom, so college English teachers can

properly guide students' extracurricular oral English

practice and provide some help. Online courses

depend on the active participation of teachers and

students, and whether they are good or bad depends

on the actual effect. Therefore, interactive activities

are an important factor affecting the effect of online

learning. At present, all online courses are designed

with interactive learning modules, so that learners can

communicate and share. Although the data analysis is

objective, many subtle factors will be discarded.

When using the data analysis results to adjust

teaching strategies, teachers should combine their

own teaching experience, use the data analysis results

scientifically and reasonably, judge the accuracy of

students' spoken pronunciation by analyzing the

information content, and score them, so as to

encourage students to constantly correct their

pronunciation, which also brings a favorable

reference for teachers' teaching evaluation. Combine

the objective data analysis results with teachers'

subjective initiative to form a more scientific teaching

strategy. Through the research of a class of 60

students, through the test of students, the data of task

point test is shown in Fig. 3.

Figure 3: Task point test diagram

Students have a certain understanding of

preposition recognition, but they are not accurate

enough. According to the above data analysis results,

in the follow-up study of this class, it is necessary to

strengthen the training of vocabulary usage of various

parts of speech, especially the vocabulary usage

training mainly focusing on adverbs and prepositions.

On the whole, the proportion of correct answers is

higher than that of wrong answers, which shows that

oral English training in intelligent online courses is

very effective.

In the future, education and teaching are faced

with more possibilities and diversity. Students are

playing an unlimited potential towards a wider

learning world and creating an immeasurable future.

The diversified development of education, the

continuous innovation of personalized teaching, and

the in-depth combination of traditional teaching

methods make education and teaching develop from

multiple perspectives. Through the analysis of

students' chapter learning times, we can get the

number of students' chapter learning times (A), their

class's chapter learning times (B), and the overall

course's chapter learning times (C). Based on the

above three results, we can make further experimental

analysis and get the trend chart of students' chapter

learning times as shown in Figure 4. According to the

trend chart of students' learning times in Fig. 4, in

August 2021, the number of chapters taught in the

course is the largest, which is the peak of the overall

learning times trend. The number of chapters taught

in other months is slightly lower. Preliminary analysis

shows that the content taught in August 2021 is the

part that students need to focus on.

Figure 4: The trend of students' chapter learning times

Through research, we can draw a preliminary

conclusion that big data analysis technology is helpful

for college oral English intelligent online course

teaching. The basic principle of the integration of big

data analysis technology and oral English teaching

technology is to use data to guide teaching and use

teaching to verify data. Technical details such as data

collection, analysis and characterization need to go

through a certain period of practical research to get

the answer. The above learning methods are

applicable to students' autonomous oral learning. In

order to ensure the effect and quality of autonomous

INCOFT 2025 - International Conference on Futuristic Technology

138

learning, teachers should standardize the selection

and use of software, and use the social function of the

software to form an artificial intelligence learning

group of the class. Regular oral ability testing

activities should be held to guide students to correctly

and fully use the learning software and strive to

improve their oral English practice ability.

4 CONCLUSIONS

Big data analysis is a beneficial innovation in the

design of online courses of spoken English

intelligence in colleges and universities, which can

effectively improve the quality and teaching

efficiency of online courses of spoken English

intelligence, hoping to provide some enlightenment

for the innovation of teaching mode of online courses

of spoken English intelligence. Describing the

characteristics of students' oral English learning,

taking students as the center, and adjusting the

teaching strategies of higher vocational teachers in a

targeted way will have obvious help to the quality and

efficiency of students' oral English learning.

According to the content of teaching materials and the

requirements of oral English teaching in higher

vocational colleges, teachers will share the video of

the micro-lesson of summarizing difficult knowledge

points and electronic courseware of oral English

teaching on the platform before class, and publish

preview tasks and homework. Students log in to their

personal accounts, check the teaching materials

provided by teachers, and complete the preview

homework by consulting their own materials. It not

only meets students' general learning needs, but also

meets students' individualized learning needs,

respects the objective law of coexistence of

commonality and individuality in students' learning,

and makes targeted and dynamic adjustment of

teaching strategies in combination with teachers'

teaching experience, which can form a more accurate

judgment on the application of teaching strategies. In

the actual teaching work, teachers should combine the

professional characteristics and employment trend of

college students, constantly innovate the content,

form and method of oral English wisdom class, enrich

the oral English teaching resources and promote the

all-round development of college students' oral

English.

ACKNOWLEDGEMENTS

This work was sponsored in part by A Study on the

Professional Development Path of English Teachers

in Higher Vocational Colleges under the new

Curriculum Standards(2021sk10)

The Integration of Excellent Chinese Traditional

Culture in Higher Vocational English Teaching（

Azcj2022039）

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