Artificial Intelligence and Personalized English Learning Plan: A Survey Study Based on Applied Undergraduate Programs

As the core carrier of aesthetic education, sentiment education and spiritual education, aesthetic education is an important way for colleges and universities to implement the fundamental task of fostering virtue through education and cultivate students’ innovative awareness and comprehensive literacy. Against the background of the New Era, the reform of aesthetic education in colleges and universities is confronted with practical problems such as imperfect curriculum system, single practical form and insufficient resource integration. Local undergraduate universities need to optimize the supply of aesthetic education based on students’ actual needs. As an autonomous region with ethnic minorities, Guangxi can innovate the content and form of aesthetic education by relying on the cultural resources of intangible cultural heritage (ICH). Taking Guilin University of Technology as a research sample, this paper conducts a questionnaire survey on aesthetic education needs among 528 undergraduates of different grades, majors and genders (with an effective recovery rate of 96.8%). Combined with the practical exploration of integrating ICH into aesthetic education in local undergraduate universities, this paper discusses the practical path of aesthetic education reform in colleges and universities in the New Era from the dual dimensions of demand orientation and cultural empowerment, so as to provide a reference for colleges and universities to construct a diversified and systematic aesthetic education system.

The reform of credit system is an important measure to promote the teaching reform in colleges and universities in China. It is a key link how to carry out curriculum setting in the credit system reform in colleges and universities. Therefore, we must break the original training mode, optimize the current curriculum system and work out the innovation curriculum system based on the credit system. In this paper, we implement the educational idea of “student-oriented”, combined with the aviation characteristics of our school, to carry out the holistic optimization of the curriculum system of communication engineering, and develop a platform + module innovation curriculum system based on credit system with aviation characteristics, which promotes the construction of diversification training mode in accordance with students’ aptitude.

The “Internet Plus” on-line plateforms provide many innovative approach to learning; but providing convenient college education on-line also poses many new challenges that have not been explored. Some of these educational challenges are explored in the development of an innovative foreign language teaching program in China Universities. Foreign language education networks can be designed on “Internet Plus” platforms to enhance teachers' teaching capabilities. Using "Internet Plus" plateforms is key to foreign language teaching reform in colleges and universities.

With the development of social economy and the changes in the demand for talent market, colleges and universities need to reform the curriculum teaching to enhance the overall quality of students. This article takes the curriculum reform in universities as the research object, collects data through questionnaire surveys and interviews, and analyzes the impact of curriculum reform on improving students' comprehensive quality. The results show that the curriculum reform can effectively improve students' comprehensive qualities such as innovative thinking, teamwork, critical thinking and communication skills by improving teaching methods, optimizing curriculum structure, and enhancing the practicality and forefront of curriculum content. In addition, the teaching reform has also promoted students' autonomous learning and career planning ability. These findings have important implications for understanding and evaluating the effects of higher education reform, and for providing decision-making evidence for further education reform.

Innovation and entrepreneurship education reform in colleges and universities is urgent. It promotes the integrated development of innovation and entrepreneurship education and professional education, and is an important direction of teaching reform in Chinese colleges and universities. By analyzing the connotation, characteristics and relationship between innovation and entrepreneurship education and professional education, this paper proposes a feasible path to promote the integrated development of innovation and entrepreneurship education and professional education.

The art theory courses have a full-scale influence on the students.They can not only improve the students' professional skills on painting, but also help in cultivating the students to be a thinking and moral comprehensive talent.However, the courses on painting theory in many art schools are not properly paid attention to, and the situation of "attaching importance on skills rather than theories" is still existing.Taking "Painting Theory Course Teaching Reform in Colleges and Universities" as the core point, this thesis will analyze the importance as well as the problems existing in art theory courses and put forward corresponding education reform measures.

With the rapid development of educational information technology, “online and offline” hybrid teaching has become the main trend of foreign language teaching reform in colleges and universities. The blended teaching mode integrates the traditional teaching mode with modern educational technology and reconstructs the traditional college English teaching mode in the aspects of teaching object, teaching content, teaching method, teaching environment, and teaching evaluation. Based on the multisource data such as students’ learning situation, learning duration, and academic performance, this paper builds a student English learning analysis system that realizes the integration of multisource data, completes the unified processing and analysis of multisource data, and then displays it through the interface. The system helps English teachers to guide students in different degrees according to the students’ English learning situation and academic performance, so that English teachers have a clearer and more comprehensive understanding of students’ learning and living conditions and timely guide students with incorrect learning attitudes, so as to avoid students’ detours.

The acceptance of technology at the higher educational level has been a significant discussion, with little attention on the gender dynamics on the acceptance of artificial intelligence (AI ) tools by senior lecturers. This study delved into a detailed analysis of the gender dynamics in the discussion of technology acceptance mainly AI tools, in foreign language (FL) education. Quantitative study approach was adopted in the process, and survey design was implemented. Data was collected using structured digital questionnaire, based on the Unified Theory of Acceptance and Use of Technology (UTAUT) model. A total of ninety-five (95) male senior lecturers and one hundred and three (103) female senior lecturers participated in the study. Analysis was conducted using relevant statistical measures. The results showed disparities in the attitudes and views of senior lecturers towards artificial intelligence (AI) technologies in the context of FL education, greatly influenced by gender. In relation to usage, male senior lecturers have higher positive reactions (61.06%) in comparison to their female counterparts (46.6%). However, in relation to the assumption that AI technologies improve the performance of learners, 69% of male senior lecturers agree with this notion, but a substantially greater percentage of 72.81% of female senior lecturers hold the same perspective. Moreover, there exists a little disparity in the level of proficiency in using AI technologies across genders. Specifically, 56.84% of male senior lecturers see it as uncomplicated, while 61.16% of their female counterparts share the same sentiment. The gender discrepancy that is most notable pertains to the perceived level of ease in using artificial intelligence (AI) technologies during foreign language (FL) lessons. The data reveals that a majority of male senior lecturers, calculated as 69.48%, see the use of these tools very easy. In contrast, a much higher proportion of female senior lecturers, 86.41%, share the same perception. This discrepancy highlights a notable disparity in confidence levels between the two genders. These results together emphasise the changing gender dynamics in the acceptance of technology, interrogating conventional assumptions and underscoring the need for customised support systems to guarantee fair and efficient integration of artificial intelligence (AI) technologies in foreign language instruction among senior lecturers.

The anthropomorphic characteristics of artificial intelligence (AI) can provide a positive environment for self‐regulated learning (SRL). The factors affecting adolescents' SRL through AI technologies remain unclear. Limited AI and disciplinary knowledge may affect the students' motivations, as explained by self‐determination theory (SDT). In this study, we examine the mediating effects of needs satisfaction in SDT on the relationship between students' previous technical (AI) and disciplinary (English) knowledge and SRL, using an AI conversational chatbot. Data were collected from 323 9th Grade students through a questionnaire and a test. The students completed an AI basic unit and then learned English with a conversational chatbot for 5 days. Confidence intervals were calculated to investigate the mediating effects. We found that students' previous knowledge of English but not their AI knowledge directly affected their SRL with the chatbot, and that satisfying the need for autonomy and competence mediated the relationships between both knowledge (AI and English) and SRL, but relatedness did not. The self‐directed nature of SRL requires heavy cognitive learning and satisfying the need for autonomy and competence may more effectively engage young children in this type of learning. The findings also revealed that current chatbot technologies may not benefit students with relatively lower levels of English proficiency. We suggest that teachers can use conversational chatbots for knowledge consolidation purposes, but not in SRL explorations. Practitioner notes What is already known about this topic Artificial intelligence (AI) technologies can potentially support students' self‐regulated learning (SRL) of disciplinary knowledge through chatbots. Needs satisfaction in Self‐determination theory (SDT) can explain the directive process required for SRL. Technical and disciplinary knowledge would affect SRL with technologies. What this paper adds This study examines the mediating effects of needs satisfaction in SDT on the relationship between students' previous AI (technical) and English (disciplinary) knowledge and SRL, using an AI conversational chatbot. Students' previous knowledge of English but not their AI knowledge directly affected their SRL with the chatbot. Autonomy and competence were mediators, but relatedness was not. Implications for practice and/or policy Teachers should use chatbots for knowledge consolidation rather than exploration. Teachers should support students' competence and autonomy, as these were found to be the factors that directly predicted SRL. School leaders and teacher educators should include the mediating effects of needs satisfaction in professional development programmes for digital education.

In the traditional English learning mode of vocational college, teachers and students spend a lot of time on the basic knowledge of English. Due to the singularity of teaching methods and the lack of effective student self-learning platform, many students consider that English learning is boring and the actual learning effect is poor[1-2]. As an emerging edge discipline, artificial intelligence covers a series of topics such as image recognition, pattern recognition, robotics, natural language understanding and expert systems. The simulation and application of human language intelligence is an essential progress of artificial intelligence technology[3]. This paper will analyze the connotation of artificial intelligence technology and its principles of natural language understanding, and sort out the application advantages of artificial intelligence in education field. Finally, it puts forward practical measures of adopting artificial intelligence tools in input and output stages of English language learning[4-5].

In recent years, with the continuous reform and improvement of China's education system, from the initial physical health to physical and mental health education open up. At present, the psychological education mode of Chinese college students urgently needs to be innovated and changed, and the current era of network information capital Rich sources, college students' pursuit of individuality and diversity and other phenomena are everywhere, in the past, the traditional old mental health education and no It can satisfy the law of psychological development of college students nowadays. This paper from the status of college students' mental health education and how to innovate to improve the heart The health education mode, improve the mental health quality of college students, and then realize the value of college students and for the society value.

The relevance of the study is driven by the advancing development of artificial intelligence (AI), which presents new prospects for the creative education of students on Art educational programs. The research problem lies in the current challenges to traditional art learning practices, which are losing relevance due to changes and the potential integration of artificial intelligence (AI) technologies. The aim of the research is to review the creative learning process of art students to identify: criteria for forming competencies in the fields of visual arts with the application of AI technologies, AI tools for teaching students in the field of visual arts, key competencies in working with virtual tools for students and teachers in the field of education and art, and to define recommendations for the implementation of AI in the art students’ learning process. The methodological framework is based on interdisciplinary examination of researchers' works in education and art. Research methods include overview-theoretical, art-historical, methodological-pedagogical analysis, as well as comparative and case–study approaches. The theoretical significance of the research lies in reviewing the trajectories of education in the field of neural networks and providing scientific–theoretical justification for the application of AI technologies in the creative learning process of students enrolled in visual arts programs. The practical value offers recommendations for the formation of modern and efficient educational strategies in the field of art at the student level, including the specification of concepts and terms, defining curricula with new educational methodologies and personalized educational practices, adaptation to changing labor market demand, and laying the groundwork for further research. Implementing the research findings will enable the systematization and optimization of methodologies and approaches to the creative learing process of students on Art educational programs through AI tools, virtual, and augmented reality.

The convergence of blockchain, artificial intelligence (AI), and cloud computing is catalyzing a paradigm shift in developing secure, intelligent, and scalable digital infrastructures. This triad of technologies is increasingly utilized to improve performance, transparency, and trust in engineering-driven and socio-technical environments. This study systematically reviews the evolution, integration strategies, and applications of blockchain, AI, and cloud computing in digital ecosystems. The analysis is based on 108 peer-reviewed studies spanning the years 2012 to 2025. A comprehensive literature analysis was conducted to identify trends, synergies, and sector-specific implementations of these systems. The review explores how their integration supports real-world engineering and operational use cases. Blockchain contributes to decentralized architectures, secure data exchange, and identity verification. AI supports adaptive behavior, autonomous decision-making, and predictive analytics. Cloud computing offers the scalable infrastructure necessary for deployment. Key challenges addressed include interoperability, latency, security trade-offs, and resource allocation. Use cases in digital finance, supply chain management, and industrial automation demonstrate the effectiveness of this integration in building resilient, ethically aligned, and high-performance infrastructures. The findings offer valuable insights and technical considerations for engineers and architects seeking to design next-generation cyber-physical systems that are secure, intelligent, and socially responsive. Clinical Trial Number Not applicable. This article accentuates the extensive use of blockchain, cloud computing, and AI principles, emphasizing their crucial significance in the contemporary digital environment and paths in which blockchain technology may be employed to automate financial transactions, enhance the security of personal data and records, facilitate cross-border transactions, verify identities, execute smart contracts, utilize cryptocurrencies, and manage supply chains. This research systematically assesses the development and practical application of blockchain, cloud computing, and artificial intelligence technologies over the past decade. This study primarily focuses on monitoring the progress, practical applications, and benefits of blockchain technology in the context of financial transactions. This article probes the symbiotic relationship between artificial intelligence, cloud and blockchain technology, analyzing the evolution and fundamental concepts of their integration from 2012 to 2025. This paper also presents a detailed analysis of 108 research works acquitted over the past decade. The study provides a comprehensive examination of the current state and fundamental principles related to the integration of artificial intelligence, cloud, and blockchain technology. This paper offers a comprehensive analysis of the major obstacles confronted by blockchain technology, examining its wide-ranging applications over several industries and its socko role in transaction systems and the domain of cryptocurrencies.

The advent of big data puts forward higher requirements for computer talent cultivation, and the traditional talent cultivation mode encounters new difficulties and challenges in the reform of compound computer talent cultivation mode. Under the background of diversified disciplines, deepening the reform of composite computer talent training mode and improving the quality of composite computer talent training have become the focus of education reform in China's colleges and universities. Relying on the background of financial universities, this paper focuses on the reconstruction and practice of composite computer talent cultivation mode driven by big data based on the cultivation system of "multi-dimensional drive, multi-dimensional integration and multi-step progression". This paper focuses on the reconstruction and practice of composite computer talent cultivation mode driven by big data, in order to provide reference for the cultivation of composite computer talents in financial universities in China.

Introduction: The integration of artificial intelligence (AI) into higher education is swiftly revolutionizing pedagogical methodologies, in conjunction with learning processes and research paradigms. The interdisciplinary potential of AI within academic settings was examined in this study, employing a case study conducted at the University of Tirana. Through the utilization of bibliometric analysis and survey-based research, this study comprehensively investigates the swiftly emerging trends in AI applications, students' significant familiarity with AI technologies, as well as the substantial challenges impeding broader adoption. The bibliometric analysis highlights significant exponential growth in AI research, particularly within pivotal domains such as finance and accounting, thereby emphasizing the swiftly increasing relevance of blockchain and automation. The survey indicates a robust enthusiasm among students for AI in educational settings. More than 90 percent of students actively incorporate AI tools in their project work. Nonetheless, resource limitations and ethical considerations, including privacy, data security, and algorithmic bias, pose considerable challenges to the widespread adoption of AI, despite the prevailing enthusiasm. Objective: The aim of this research is to examine the incorporation of Artificial Intelligence (AI) within the realm of higher education. This analysis concentrates on the applications, advantages, and challenges associated with AI, with the intent of advancing interdisciplinary research and educational methodologies at the University of Tirana. Theoretical Framework: This research expands upon the principles of AI adoption within the educational sector, alongside an examination of ethical considerations and multidisciplinary collaboration. Theories pertaining to technological integration and adaptive learning systems serve as the foundational framework for comprehending the implications of AI in the realm of education. Method: The methodology employs bibliometric analysis to examine AI-related research trends utilizing data from SCOPUS and conducts a survey to assess students' familiarity with and perceptions of AI. Data collection was facilitated through bibliometric instruments and an online survey incorporating Likert-scale and open-ended questions. Results and Discussion: The results underscore an increased focus on artificial intelligence (AI) and blockchain within scholarly research, wherein students exhibit considerable engagement and interest in AI applications. Nevertheless, limitations in resources and ethical issues, including privacy and bias, persist as primary challenges. The discourse underscores the imperative for investment in infrastructure and the incorporation of ethical education. Research Implications: This research highlights the imperative for higher education institutions to integrate artificial intelligence tools, cultivate adaptive curricula, and address ethical considerations in order to adequately prepare students for a future shaped by AI. The implications of these findings also pertain to educational policy and the formulation of interdisciplinary research strategies. Originality/Value: The study contributes by delivering a comprehensive bibliometric analysis and gives insights into student engagement with artificial intelligence. Its significance resides in presenting actionable recommendations to enhance the integration of artificial intelligence in higher education.