A study on classroom teaching practice in vocational education in the era of digital intelligence

1. Introduction

With the rapid advancement of artificial intelligence, big data, cloud computing, and the Internet of Things, educational systems across the world are undergoing profound changes. Vocational education, as a type of education closely linked to social and economic development, has become a major focus of digital transformation. National policies such as the Education Informatization 2.0 Action Plan and the Action Plan for Quality Improvement and Excellence Cultivation in Vocational Education have further clarified the strategic direction for the digital development of vocational education. In this context, the effective integration of digital-intelligent technologies into classroom teaching has become a central issue in vocational education reform.

Existing studies show that international research has explored various forms of digitally enhanced vocational teaching, such as smart factory classrooms, immersive VR/AR-based practical training, project-based learning, blended learning, and gamified learning. In China, research on the digitalization of vocational education has increased rapidly, with major attention given to policy construction, teaching model innovation, and platform development. However, current studies still pay insufficient attention to the actual operation of vocational classrooms, especially in western and ethnically diverse regions.

Based on this background, the present study takes classroom teaching practice in vocational institutions within the autonomous region as its research object. It aims to examine the main dilemmas of classroom teaching in the era of digital intelligence and to propose practical reform pathways and promotion strategies suited to the regional context. The study follows the logical framework of “problem diagnosis–path exploration–strategy development.”

2. Literature Review and Problem Analysis

2.1. The Structural Disconnection Between Technology and Teaching

One major problem in current vocational classroom reform is the excessive emphasis on hardware investment and the neglect of pedagogical application. The original text notes that more than 70% of information-based construction investment in recent years has been directed toward hardware procurement, while less than 30% has gone to software platforms, teaching resource development, and teacher training. This imbalance has resulted in a situation where technologies are present, but their pedagogical value is not fully realized.

Classroom observation further shows that some teachers use smart blackboards merely to display PowerPoint slides or videos, while the utilization rate of virtual simulation equipment remains low. In many cases, teaching platforms are used only for basic functions such as attendance and homework submission, rather than for interactive teaching or learning analytics. This indicates that technology and teaching remain structurally disconnected.

2.2. Teachers’ Digital Literacy and Role Transformation

Digital-intelligent teaching requires teachers to possess not only technical skills, but also new pedagogical roles. Teachers are expected to shift from being transmitters of knowledge to facilitators of learning, organizers of interactive activities, and users of educational data. However, the study points out that teachers’ digital literacy remains uneven, and many teachers still rely heavily on traditional teaching approaches.

To address this issue, the original text proposes a differentiated development framework: young teachers should strengthen advanced abilities such as data analysis and resource development; middle-aged teachers should focus on blended teaching design and project-based teaching; and senior teachers should first overcome technical anxiety and develop basic operational competence.

2.3. Dormant Data and Limited Evaluation Reform

Another key challenge concerns the underuse of educational data. Although digital platforms can collect large amounts of information about student learning behavior, such data often remain fragmented and underutilized. As a result, teachers are unable to make full use of learning analytics for precise teaching intervention and personalized guidance. The original text explicitly calls this issue “dormant data.”

The text also emphasizes that classroom evaluation still relies too heavily on final results rather than process-based and multidimensional assessment. This limits the capacity of vocational education to evaluate participation, collaboration, problem solving, and other important competencies in the learning process.

2.4. The Gap Between Resource Construction and Use

The study further highlights that many digital resources are “built but not used.” Although vocational institutions have invested in resource banks, online courses, and digital platforms, many of these resources have limited classroom relevance, are not updated in a timely manner, or are inconvenient to access. Consequently, resource construction and actual teaching practice remain weakly connected.

2.5. The Digital Divide in Industry – Education Integration

Vocational education depends heavily on close alignment between teaching and workplace practice. However, the original text notes that enterprise production data, technical standards, and workflow processes have not yet been effectively incorporated into classroom teaching. Because of this, students often experience a clear gap between what they learn in school and what they encounter during internships and employment. The text also states that more than 40% of employers reported that graduates require more than three months to adapt to their positions, largely because of the mismatch between school teaching content and enterprise needs.

3. Research Design

3.1. Research Object

This study focuses on classroom teaching practice in vocational institutions within the autonomous region.

3.2. Research Methods

This study adopts a mixed-methods design, including literature review, questionnaire survey, classroom observation, and in-depth interviews. Through the combined use of quantitative and qualitative methods, it analyzes current problems and explores practical pathways for classroom reform in vocational education in the era of digital intelligence.

3.3. Research Framework

The overall framework follows the logic of “problem diagnosis–path exploration–case analysis–countermeasure recommendations,” aiming to form an integrated link between theory and practice.

4. Practical Pathways for Reform

4.1. Environmental Upgrading

To solve the problem of emphasizing hardware over software, schools should promote coordinated development between hardware construction and software application. The text proposes an integrated mechanism of “hardware + software + services,” the establishment of unified data platforms, technical support teams, and incentive systems for technology use in teaching.

4.2. Teacher Capacity Reshaping

A differentiated teacher training system should be established to support teachers at different career stages. Standards for teacher digital literacy should be developed, layered training should be carried out, and collaborative teacher innovation teams should be encouraged. Digital literacy should also be incorporated into teacher evaluation and promotion systems.

4.3. Evaluation Reform

The study advocates the use of learning analytics to construct student learning profiles and support the integration of process-based and outcome-based evaluation. By doing so, classroom evaluation can move from experience-based judgment toward data-driven teaching improvement.

4.4. Resource Reconstruction

The original text recommends changing the traditional model of static resource construction and moving toward dynamic generation and collaborative sharing. Teachers should be encouraged to develop flexible teaching materials based on actual classroom needs, while schools should strengthen school-based resource sharing and regular updating mechanisms.

4.5. Industry – Education Integration

The study proposes reconstructing teaching scenarios through the integration of virtual and real contexts. Specific measures include sharing authentic production data, building dual-teacher teams composed of enterprise mentors and school teachers, co-developing curriculum resources, and establishing stronger links between classroom teaching, internship training, and employment.

5. Discussion

The findings of this study suggest that the digital transformation of vocational classroom teaching should not be understood as a purely technical issue. Rather, it is a systematic educational reform process that requires parallel changes in pedagogical beliefs, teacher development, evaluation systems, resource construction, and school – enterprise cooperation. The problems identified in this study – such as the dominance of hardware investment, insufficient teacher preparedness, dormant educational data, and the gap between school teaching and enterprise practice – indicate that technological modernization alone cannot guarantee high-quality teaching reform.

Therefore, vocational education institutions should pursue digital transformation through a more holistic strategy. In particular, attention should be paid to regional realities, especially in western and ethnically diverse areas where contextual constraints may be more significant. Reform measures should be adapted to local industrial structures, educational conditions, and teacher development needs. This context-sensitive perspective is one of the main contributions of the present study.

6. Conclusion

The era of digital intelligence has brought both important opportunities and substantial challenges to vocational education classroom teaching. Based on classroom practice in the autonomous region, this study identifies five major dilemmas: the overemphasis on hardware over software, teacher role disorientation, dormant educational data, the gap between resource construction and use, and insufficient industry – education integration. In response, the study proposes reform pathways from the dimensions of environment, teacher capacity, evaluation, resources, and collaborative governance.

Overall, this study argues that improving classroom teaching in vocational education in the era of digital intelligence requires not only technological support, but also systematic efforts in institutional reform, pedagogical transformation, and collaborative development. It is hoped that these findings can provide useful reference for the high-quality development of vocational education and the cultivation of technical and skilled talent suited to the demands of the digital age.