The Value, Logic and Path of Digital Education Enabling the Development of Academic Cognition in English Writing
Publicado en línea: 17 mar 2025
Recibido: 22 oct 2024
Aceptado: 26 ene 2025
DOI: https://doi.org/10.2478/amns-2025-0255
Palabras clave
© 2025 Baiqiu Liao, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
In the era of economic globalization and internationalization of higher education [1], English, as the world’s common language, is not only a reflection of personal ability, but also a demonstration of the strength of disciplines and industries and even the national strength of the country [2], and the role of cultivating international talents with academic competitiveness in the field of specialization (industry) is indisputable [3].
The arrival of the Internet era, for artificial intelligence, big data, AI and other digital technologies derived from the creation of scientific and technological development conditions [4], so that the direction of digital development has gradually become the road to reform and innovation for the cause of education in countries around the world [5]. Based on the modernized environment in which science and technology, social development, and human life are closely integrated, in the management of students at the higher education level, how to deeply integrate the concept of digital work and build a more efficient student education management system has become a top priority [6-8].
Academic English writing is an important part of academic English teaching, aiming to cultivate students’ ability to use English for written academic communication in their own specialty [9-10]. The construction of new liberal arts emphasizes the integration and intersection of disciplines and the use of learning, and the cultivation of students’ ability to conduct academic research in English is one of the important goals of university English teaching [11-12]. Academic English writing teaching aims at cultivating students’ academic writing skills and is oriented to cultivating academic communication ability, which is an important part of the university public English curriculum system [13-15]. Academic English writing is also a necessary skill for students to carry out professional learning and scientific research, which is an important manifestation of comprehensive academic ability [16-17]. “Writing is more complex than speaking in terms of form and structure”, and in actual teaching, students generally feel difficult and slow progress in academic English writing [18-19]. How to improve students’ academic English writing through effective teaching mode, increase students’ active participation in international academic activities, and cultivate students’ international communication ability is a problem that needs to be solved urgently [20-21].
This paper builds a Bb-JiTT English academic writing teaching model path based on the Blackboard digital platform to realize the digital teaching of English academic writing. The questionnaire designed to assess students’ understanding of English academic writing is based on the research conducted with students’ English academic writing. The questionnaire includes three survey items on students’ learning attitudes, habits, and experiences in English academic writing. The reliability test of the questionnaire was realized by analyzing the Cronbach α coefficient, and the validity of the questionnaire was examined by using the KMO test and Bartlett’s sphericity test to determine the reasonableness of the setting of each question item. Finally, the digital English academic writing teaching path was implemented in University L. The English academic writing scores of the experimental class and the control class academics were compared to explore the implementation effect of digital teaching. Then, the questionnaire is used to analyze the students’ perception of English academic writing in order to explore the value and logic of the digital teaching path constructed in this paper.
Just-in-Time Teaching (JiTT) is a learning and teaching strategy, and the construction process of JiTT is shown in Figure 1. The implementation of the model is supported by the network environment and carried out under the guidance of the teacher in a “learner-centered” learning mode. The model can be summarized in three stages and five steps, and the cycle of the model is centered on the “feedback chain”, which runs continuously to complete the learning of the course. In this teaching mode, the most important realization is the real-time mastery and feedback of the learner’s learning situation, and the learners are always in the best state through timely adjustment.

JiTT-model flow chart
The JiTT model is a problem-solving system that is statute in order to solve a problem in a certain field or in a specific field, under the conditions of abstraction, simplification, assumption and reasoning about the output information and the essential features of the problem (prototype), using the methods of system science. The constructed system is an open system with a relatively stable structure and some open features. At the same time, the constructed system is required to have operability, simplicity and generalization. The teaching environment of the network is a prerequisite for the JT mode to be able to carry out, and the teaching platform which is commonly used in the construction of education informatization in higher education institutions at present can provide an opportunity to carry out the JiTT model smoothly. Therefore, this paper combines the Blackboard platform with the JiTT model to construct a digital teaching model of English academic writing based on the Blackboard platform into Bb-JiTT model. The basic flow of the Bb-JiTT model is shown in Figure 2. Teachers and students log in to the teaching system through the Blackboard terminal, and the database recognizes whether the logged-in person is a student or a teacher based on the data transmitted from the login terminal. After logging into the registered Blackboard course, students first learn the basic information of the English academic writing course, and then go to complete the “pre-study questions” of the corresponding unit. They can return to the course content at any time during the process of completing the questions, and if they don’t need to review the questions again, they can submit their own answers, which will be stored by the platform in the students’ personal portfolios. Students who wish to continue their study can return to the course content module and move on to the next unit. For students who have finished this course, they can post to the BBS for help, send an email to the instructor or other members of the class regarding questions related to this course. Students who are not in need of assistance can answer other members’ questions to prepare for the class lecture. Teachers log into the Blackboard platform, enter the English academic writing course background management module click on the appropriate manager, the platform will be presented to the teacher in the form of visual data report of student responses, according to this information teachers will directly understand the overall situation of the students, and immediately adjust the instructional design, if the student situation and their own predictions are consistent with the need for modification but directly organize classroom instruction. Using the just-in-time method to organize the teaching activities of English academic writing online courses, the learning of the course can be considered to have begun before the class. By the time the real classroom collective learning time, as students have had prior preview of the basic content of the teaching, the teacher only needs to carry out targeted instruction and personalized tutoring, and the classroom will have sufficient time to carry out group discussions, students’ independent practice, individualized tutoring, and other student-oriented teaching and learning activities. Courses built on the Blackboard platform will have their own BBS, and after the end of the class, teachers can post some of the problems in the class discussion on the BBS, encouraging students to synthesize what they have learned before, consult online materials, library materials, etc. to continue to explore in-depth, and promoting the development of students’ advanced cognitive abilities. It can be seen that the whole digital teaching mode of English academic writing embodies the learning mode of students’ independent learning supported by the network environment and assisted by teachers’ supervision and guidance.

Bb-JiTT model flow chart
The teaching of English academic writing based on digital platforms is not only moving traditional teaching content to the Internet, but also a revolutionary change in the education mode. In digital teaching, all kinds of information generated in the educational process can be digitized, recorded, and analyzed to better serve the teaching process and the needs of students. The logic of the role of digital teaching paths is divided into three main aspects. First, the digitization of English academic writing teaching makes it easier for students to access all kinds of information and knowledge. Online courses, digitized textbooks and rich online resources provide students with broad learning channels. Teachers can also use digital tools to deliver English academic writing content more quickly and intuitively, so that English academic writing knowledge can better penetrate into students’ daily learning and life. Secondly, digital transformation brings personalized and diverse teaching modes for English academic writing instruction. Based on students’ learning situations and needs, teachers can create different teaching plans and provide customized learning resources to meet their students’ different learning habits and interests. This type of personalized teaching can enhance the teaching effect by stimulating students’ enthusiasm for learning. Third, digital teaching makes it possible to collect, analyze, and utilize the large amount of data generated in the education process. Educators can understand students’ learning habits, performance, and needs through data analysis, so as to make targeted teaching adjustments and optimize teaching. Data-driven decision-making can guide the implementation of English academic writing education in a more scientific way and ensure the maximum utilization of teaching effects.
Based on the concept of integrating digital teaching and English writing academic teaching activities, this study combines the advantages of digital learning platforms with the design of English academic writing teaching activities, focusing on promoting students’ interest in English academic writing learning and teaching effectiveness, with a view to ultimately improving students’ teaching performance in the English academic writing course and students’ English core literacy. In order to ensure the accuracy and scientificity of this research, a large amount of relevant literature was reviewed and sorted out before the experiment in this paper, on the basis of which a student questionnaire was designed for the cognition of English academic writing after digital teaching. The specific questions of the student questionnaire are designed as shown in Table 1, which mainly involves analyzing the learners’ learning attitudes towards English academic writing learning, learning habits of English academic writing learning and learning experiences of English academic writing learning in three dimensions, with a total of 12 questions. In terms of learning attitude, there are 4 survey items, namely “I think learning English academic writing can increase my knowledge” (Q1), “For me, taking English academic writing classes is a joyful thing” (Q2), “As soon as I take English academic writing classes, I can’t keep my spirits” (Q3), and “I feel happy when I do English academic writing” (Q4). The study habits dimension includes three items: “I actively practice English academic writing outside of class every day” (Q5), “I don’t take the initiative to review except for the tasks assigned by the teacher” (Q6), and “I often spend time outside of class to improve my English academic writing skills” (Q7). The learning experience dimension includes 5 survey questions, namely “I wish I could leave the class faster when I am in English academic writing class” (Q8), “I listen attentively to the teacher in English academic writing class” (Q9), “I actively think when the teacher asks questions in English academic writing class” (Q10), “I actively participate in class activities organized by the teacher in English academic writing class” (Q11), and “I actively raise my hand to speak when the teacher asks questions in English academic writing class” (Q12). The student questionnaire is mainly in the form of a Likert scale, and the respondents choose the only option to answer according to their real situation. 5 points for “Strongly agree”, 4 points for “Somewhat agree”, 3 points for “Not sure”, 2 points for “Not very agree”, and 1 point for “Completely disagree”.
Questionnaire design
| Dimension | Item | Issue number |
| English writing attitude | I think learning English writing can increase my knowledge | Q1 |
| For me, English writing is a quick pleasure. | Q2 | |
| I can’t afford to do English writing homework. | Q3 | |
| I feel very happy when I write in English. | Q4 | |
| English writing habits | I actively write English in English every day. | Q5 |
| In addition to the task assigned by the teacher, I will review myself. | Q6 | |
| I often spend time in English to improve my English writing ability. | Q7 | |
| Learning experience in English writing | My English writing class makes me want to finish class soon | Q8 |
| When I was in English writing, I listened attentively to my teacher. | Q9 | |
| When the teacher asked the question in English class, I thought positively. | Q10 | |
| In the English writing class, I actively participate in the classroom activities of the teacher organization. | Q11 | |
| When the teacher asked the question in the English writing class, I actively raised my hand. | Q12 |
In order to ensure the validity and accuracy of the students’ English academic writing cognition questionnaire test, this paper selected 40 students in parallel classes of the same grade for pre-testing before distributing the questionnaire, and analyzed the test results using the software SPSS21.0 to derive the reliability and validity of this questionnaire. The results of the reliability test of the questionnaire on students’ perception of English academic writing are shown in Table 2, the total scale Cronbach α coefficient is 0.867, and the three dimensions Cronbach α coefficients are more than 0.7, which indicates that the internal consistency of the questions in the scale is good and can be used. The results of the validity test of the questionnaire (KMO test and Bartlett’s test of sphericity) are shown in Table 3, the KMO value is 0.824 greater than 0.7, and the significance of the statistical value of the Bartlett’s test of sphericity is 0.000, which is less than 0.001, and reaches the level of significance, indicating that the validity of the data used is better, and it is suitable to be used for factor analysis.
Reliability test
| scale | Cronbach’s Alpha | Term number |
| English writing attitude | 0.854 | 4 |
| English writing habits | 0.794 | 3 |
| Learning experience in English writing | 0.825 | 5 |
| Inventory of total | 0.867 | 12 |
Validity test
| KMO test | 0.824 | |
| Bartlett’s spherical test | Approximate card | 265.478 |
| df | 38 | |
| Sig. | 0.000 | |
In this paper, the implementation of this teaching program is carried out in University L. Based on the characteristics of the digital teaching platform for English academic writing, and according to the actual situation of the university and the learning characteristics of the students, the research design the teaching of English academic writing before, during, and after class in order to improve the students’ cognition of English academic writing and their writing ability, and to help the students to skillfully utilize English academic writing in real-life scenarios, and the process of the teaching is shown in Figure 3. The study includes two classes, in which the experimental class is class A and the control class is class B. Both classes have 57 students and are graded in parallel. After two years of learning English academic writing, both classes showed good study habits. In several English tests, the average scores were not different from each other, which provided good conditions for the experimental study. The students in class A were more active in learning, the classroom learning atmosphere was more lively, and most of the students were willing to participate in classroom activities. But the class is polarized, and there are about 10 students with weak foundation.

Teaching scheme design process
Through the study of theoretical knowledge and the analysis of more literature, as well as the analysis of the logical rationale of digital teaching above, it is seen that the experimental class A which carries out the digital English academic writing teaching path should have obvious effects. It is worth mentioning that during the experiment on the experimental class, attention will not be deliberately reduced to the control class or teaching methods will not be used inefficiently or ineffectively. Adhering to the attitude of being responsible for every student, this paper will strengthen the monitoring of the experimental class during the experiment, to avoid the wrong direction leading to the waste of students’ valuable learning opportunities. At the same time, this paper will also use the scientific approach to teaching English academic writing for the control class, in order to be responsible for every student in every class. This is because the use of computers as a medium for transmitting information is quite uncertain. The classroom environment is demanding: a well-equipped computer classroom is necessary. If there are uncontrollable circumstances, such as power outages, internet outages, etc., the class will not be able to proceed. Therefore, this paper will double-check the power and network supply of the classroom in advance to avoid wasting time in case of accidents.
Before teaching English academic writing, this paper will take the initial English academic writing scores of Class A and Class B as the experimental pre-test data, and the scoring is based on the scoring of the English academic writing test, and the scores are directly derived from the test system, which makes the results fairer, more impartial and more authentic. Although the overall test scores for English academic writing are not the only indicator of the effects of learning academic writing, they also reflect the degree of mastery of students’ learning to a certain extent. In order to verify the effectiveness of the experimental teaching, this paper tested the students’ performance in five aspects, namely, content points, grammatical structure and vocabulary, sentence structure, coherence, format and register, with each part worth 20 points, aiming to examine the students’ basic knowledge of English academic writing and their comprehensive ability of English academic writing. The results of the students’ English academic writing in class A and class B were recorded into the SPSS and analyzed by the t-test of independent samples, and the students’ performance in class A and class B was analyzed by the t-test of independent samples. The results of the English academic writing scores of the two classes of academics before the teaching experiment are shown in Figure 4. In the figure, A-E represents the test scores for content points, grammatical structure and vocabulary, sentence structure, cohesion and format, and register, respectively. From the test scores of content points in English academic writing, the average scores of Class A and Class B are 10.4 and 10.7 respectively, and the independent samples t-test shows that the value of its significant difference is 0.084, which indicates that there is no significant difference in the content points scores of the pre-test of the teaching of the two classes. The average scores of the students’ grammar structure and vocabulary of Class A and Class B are at the level of about 7, which indicates that in the academic English writing of the both classes are poor in this area. Sentence structure test scores were tested using an independent sample t-test, and it was found that there was no significant difference between the scores of students in the two classes (P=0.698>0.05). Similarly, there was no significant difference between the test scores of the two parts of the test on utterance coherence, format, and register. This shows that there is little difference between the competence and level of English academic writing of the students in the experimental and control classes selected for this paper, which supports the subsequent teaching experiment.

The analysis of the previous test of academic writing in English
After a semester-long teaching of English academic writing, the English academic writing scores of the students in Classes A and B were tested and analyzed, and the results of the analysis of the post-test scores of English academic writing are shown in Fig. 5, where A-E indicates the test scores of the content points, grammatical structures and vocabulary, sentence structures, coherence of the utterance, formatting, and register, respectively. The median and mean distributions of the box line graphs reveal the average scores of the students’ English academic writing in the two classes, and the distribution of the data points reflects the specific results of each student’s test scores. From the results of the content points test scores, the average score of the students in Class A reached 16.4, much higher than the 7.5 of the students in Class B. The independent samples t-test found that the value of the significant difference was 0.000, which indicates that there is a highly significant difference. The students in Class A improved their scores in grammatical structures and vocabulary, and the average score increased to 12.7 after digital instruction, as compared to the 6.8 of the pre-instruction test. In the achievement test of coherence of utterances, the average test scores of students in Class A and Class B were 13.3 and 7.1 respectively, which is a significant difference (P=0.000<0.01), and it was also found that the achievement of students in Class A increased by 33.08% compared to the achievement of the pre-instructional test (8.9 points). It can be seen that the students in the experimental class have a greater advantage in English academic writing than the control class, indicating that the implementation of the English academic writing teaching pathway established on the basis of the digital platform in this paper is more effective.

The analysis of the academic writing results in English
Because there are positive and negative descriptions in the setting of the questionnaire in this paper, such as question Q3 “I can’t get up the spirit when I have English academic writing class”. Therefore, the scores of the reverse description part are finally converted into the scores of the positive description, and according to the calculation of the positive scores, the higher the scores of the students indicate that their level of a certain dimension is higher, while the lower the scores indicate that their level of the corresponding dimension is lower.
By analyzing the questionnaire, this paper conducts a paired-sample t-test on the changes in the learning attitudes, learning habits, and learning experiences of English academic writing of the students in experimental Class A and control Class B before and after the implementation of digital English academic writing instruction, and the results of the specific survey and analysis of the students’ academic perceptions of English writing in Class A and Class B are shown in Table 4. Before and after the implementation of digital English academic writing instruction for students in Class A The correlation coefficients of the three dimensions are all greater than 0.5, indicating that the students’ learning attitudes, learning habits and learning experiences towards English academic writing have some correlation before and after the implementation of digital teaching. The p-value of the students’ attitudes towards English academic writing in Class A is 0.000 less than 0.05, indicating that before and after the implementation of the digital teaching pathway designed in this paper, there is a significant difference between the students’ attitudes towards English academic writing and their attitudes towards the learning of English writing. It has a significant difference. In terms of learning habits and learning experience of English academic writing, the significance values are 0.038 and 0.026 respectively, which are both less than 0.05, indicating that the teaching of English academic writing based on the digital teaching platform can improve students’ knowledge of English academic writing. While there is no significant change in the effect of students’ cognition of English academic writing in class B. The correlation coefficients of paired t-tests are between 0.158 and 0.259, and the significance difference values are all greater than 0.05, indicating that there is no significant difference in students’ academic cognition of English writing before and after the implementation of the traditional English academic writing teaching program.
Test analysis of the cognitive matching sample of English writing
| Group | Analytical dimension | Correlation coefficient | Significant value |
| Class A | Learning attitude | 0.845 | 0.000 |
| Learning attitude | 0.778 | 0.038 | |
| Learning experience | 0.598 | 0.026 | |
| Class B | Learning attitude | 0.259 | 0.089 |
| Learning attitude | 0.158 | 0.145 | |
| Learning experience | 0.224 | 0.289 |
The results of the specific analysis of the mean and standard deviation of the students’ academic attitudes, learning habits and learning experiences in English academic writing are shown in Table 5. After the implementation of the digital teaching pathway, the academic attitude of students in class A increased from 1.67 to 4.47 points. The students’ English attitude level after the implementation of the digital teaching pathway is in the middle to high level. The mean scores of the students’ attitude towards English academic writing in class B before and after the implementation of the digital teaching pathway are 2.57 and 3.42 respectively, which indicates that the students’ learning attitude has improved, but it is much lower than that of the students in class A, which is 4.47. This indicates that students’ attitudes towards English academic writing have improved after the implementation of the digital teaching pathway, proving that teaching based on digital teaching resources plays a role in improving students’ attitudes towards English academic writing. From the comparison of the data before and after the students’ learning experience of English academic writing in Class A, it was found that the average scores of the survey question Q9, “I listen attentively to the teacher when I attend the English academic writing class,” before and after the implementation of the teaching and learning pathway were 2.98 and 3.76, respectively, which indicated that the students’ experience of the learning experience had been improved, and that the students’ attitudes toward English academic writing in the English academic writing teaching and learning pathway based on digital teaching and learning resources had been improved. In teaching English academic writing using a digital teaching platform, students have more opportunities to participate in classroom teaching activities, and their sense of experience has improved. Overall, the application of the digital English academic writing teaching pathway played a positive role in improving students’ attitudes, habits and experiences in English academic writing, and had a greater impact on students’ perceptions of English academic writing.
Questionnaire statistics
| Class | A | B | |||||||
| Time point | Preteaching | Post-teaching | Preteaching | Post-teaching | |||||
| Variable | Mean | SD | Mean | SD | Mean | SD | Mean | SD | |
| English writing attitude | Q1 | 1.58 | 0.86 | 3.68 | 0.66 | 2.83 | 0.33 | 3.70 | 0.53 |
| Q2 | 1.57 | 0.31 | 4.79 | 0.11 | 2.34 | 0.33 | 3.87 | 0.42 | |
| Q3 | 1.65 | 0.52 | 4.54 | 0.89 | 2.17 | 0.92 | 2.70 | 0.12 | |
| Q4 | 1.88 | 0.78 | 4.85 | 0.13 | 2.95 | 0.2 | 3.40 | 0.29 | |
| English writing habits | Q5 | 1.63 | 0.68 | 4.62 | 1.00 | 2.93 | 0.97 | 3.62 | 0.92 |
| Q6 | 2.28 | 0.23 | 4.52 | 0.47 | 2.52 | 0.64 | 2.76 | 0.17 | |
| Q7 | 1.80 | 0.11 | 4.36 | 0.22 | 2.36 | 0.43 | 2.97 | 0.98 | |
| Learning experience in English writing | Q8 | 2.38 | 0.24 | 4.83 | 0.99 | 2.46 | 0.85 | 2.57 | 0.90 |
| Q9 | 2.98 | 0.14 | 3.76 | 0.73 | 1.85 | 0.81 | 2.65 | 0.56 | |
| Q10 | 1.61 | 0.81 | 4.96 | 0.42 | 2.03 | 0.36 | 3.13 | 0.52 | |
| Q11 | 2.41 | 0.10 | 4.71 | 0.18 | 3 | 0.63 | 3.26 | 0.74 | |
| Q12 | 2.23 | 0.61 | 3.94 | 0.39 | 2.57 | 0.94 | 3.87 | 0.36 | |
This paper presents a digital teaching platform for English academic writing, establishes an innovative teaching path, and implements and explores its impact on teaching.
There is no significant difference between the content points scores of the pre-teaching test of the two classes. After the implementation of teaching, the average score of students in class A reaches 16.4, much higher than the 7.5 of students in class B. The independent sample t-test finds that the value of the significant difference is 0.000, indicating that there is a highly significant difference. It indicates that the implementation effect of the English academic writing teaching path established on the digital platform in this paper is better.
The p-value of students’ attitudes towards learning English academic writing in class A is 0.000 less than 0.05, indicating that there is a significant difference in students’ attitudes towards learning English academic writing before and after the implementation of the digital teaching path designed in this paper. And there is no significant change in the perceived effect of English academic writing among the students in class B. The significant difference values are all greater than 0.05. Among them, the level of English attitude of the students in class A after the implementation of the digital teaching pathway is in the middle to high level, with an average survey score of 4.47.
On the whole, the digital English academic writing teaching path designed in this paper shows high pedagogical value in its implementation and is able to influence students’ learning attitudes, habits and experiences of English academic writing, which in turn improves students’ cognitive level of English academic writing.
Fund program: The Influence of Learners’ Cognitive Styles on Processing of Second Language Productive Vocabulary (Grant No. 2024DYA01) supported by
Fund program: On the Optimized Scheme of Cultivating Innovative Abilities of English Majors with Top-notch Talent Development (Grant No. JG2023-XW-04) supported by
Fund program: Fusion Innovation in English Applied Linguistics (Grant No. JXTD-2023-7) supported by
