Model Of Higher Education Research Articles

Mapping interdisciplinary collaboration in music education: analysis of models in higher education across North America, Europe, Oceania, and Asia

Interdisciplinary collaboration is an emerging imperative in music education, but current understanding of global practices remains limited. Prior studies have focused narrowly on specific programs within limited geographic areas. However, there is minimal quantitative mapping of initiatives across institutions and regions. Contextual insights explaining regional variations are also scarce. Hence, this study aims to address these gaps by conducting a comprehensive analysis of interdisciplinary programs, partnerships, events, and publications across leading global music institutions using a mixed methods approach. The analysis reveals significant diversity in models and determinants of productivity across regions. For instance, while Europe leads in formal integration and research output, North America prioritizes technology-enabled innovation through media and emerging tools. Partnerships are ubiquitous but focus areas and curricular integration vary. The findings reveal significant diversity in interdisciplinary education practices and formats worldwide, implying a need for contextualized implementation aligned to institutional strengths rather than a one-size-fits-all approach. Therefore, as music education evolves, tailored interdisciplinary strategies that blend local priorities with global best practices are recommended to creatively nurture multifaceted skills and maximize potential for innovation. Thus, this research contributes an invaluable knowledge base to inform evidence-based, nimble policies and frameworks for cultivating cutting-edge, socially engaged musicians and ventures worldwide.

Analysis of Artificial Intelligence Literacy in the Blended Learning Model in Higher Education

Analysis of Artificial Intelligence Literacy in the Blended Learning Model in Higher Education

Insights into Factors Influencing Academic Success: An Application of Classification Models in Higher Education

Understanding the factors that impact students’ achievements and failures in higher education is crucial as it enables the development of targeted interventions and support mechanisms that can enhance academic performance and foster student success. Artificial intelligence (AI) can help understand the factors that influence students’ academic achievements and failures in higher education by analyzing large volumes of data, identifying patterns and correlations, and providing valuable insights. This article presents the application of eight classification models on a “Dataset of Academic Performance Evaluation of Higher Education Students” consisting of 145 higher education students. The aim is to identify the best classification algorithm for predicting academic performance. The correlation filter (CF) was used for the discovery and selection of relevant attributes, resulting in the choice of four attributes for analysis. The best classification models were random forest, support vector machine, and decision tree, with an average accuracy of 94.37% and a CF of 0.1. These results demonstrate that the application of AI and machine learning techniques is important for decision-making in higher education, allowing for a better understanding of the factors that influence academic success or failure. The study emphasizes the importance of careful attribute selection and the use of appropriate classification algorithms to ensure accuracy and reliability of the results. Additionally, the study was replicated and evaluated with nine Brazilian higher education students, achieving an accuracy of 88.89%. These results demonstrate the consistency and relevance of the proposed attribute filtering model.

Learning Model for Pandava Five Puppetry Digital Creation: A Digital Literacy and Transformation of Traditional Characters Approach

The rapid evolution of information and communication technology has triggered a transformative revolution in contemporary society, impacting traditional Indonesian arts, notably Purwa Pandava Five shadow puppetry, leading to its decline among the younger generation. This research pioneers an innovative approach to revive the Purwa Pandava Five culture, targeting 50 fine arts students. The goal is to establish a digital literacy-based creative learning model in higher education, fostering an understanding of the aesthetics and moral fabric of Purwa Pandava Five shadow puppetry. Through a concurrent mixed-methods research design, 50 fine arts students craft digital puppetry works resonating with millennial comprehension. Data collection involves qualitative and quantitative methods such as interviews, surveys, and artistic assessments. The outcomes aim to ignite the younger generation's interest in traditional Indonesian arts, anticipating the evolution of fine arts programs in higher education to be responsive to changing cultural and technological dynamics. The aesthetic value and character of the Pandava Five shadow puppetry puppet are reflected through dramatic scenes and positive traits. Learning integrates creativity, digital literacy, and the transformation of Purwa Pandava Five shadow puppetry, creating innovative digital puppetry with a unique Pandava Five story interpretation. Implementing a digital creation learning model yields positive results, allowing students to collaboratively understand Pandava Five shadow puppetry's aesthetic and moral values. This stimulates millennial interest in the cultural heritage of Purwa Pandava Five shadow puppetry, producing works that blend traditional aesthetics with modern elements through digital literacy and advanced technology. The principles balance tradition and modern technology, preserving the visual authenticity of Purwa Pandava Five shadow puppetry while focusing on narrative and moral aspects. These outcomes aim to engage the younger generation in comprehending and safeguarding traditional Indonesian arts, with an anticipated evolution of fine arts programs in higher education to meet changing cultural and technological dynamics.

Collaborative Learning in Higher Education in the Fourth Industrial Revolution: A Systematic Literature Review and Future Research

The goal of this study is to determine the variables and difficulties that contribute to collaborative learning at tertiary institutions during the fourth industrial revolution and future research gaps. This study employs a systematic literature review to summarise and provide a comprehensive understanding of collaborative learning. The systematic literature review process used the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) technique between 2008 and 2022, supported by NVivo and Microsoft Excel. A systematic literature review, which is an appropriate method for strengthening research issues and gaps, was conducted with 61 papers. It should be noted that this manuscript only presents work from the Scopus database with journal criteria. This study has identified six factors related to collaborative learning in tertiary institutions in the fourth industrial revolution era including Task & Context, Environment, Social, Technology, Teacher, and Learner. This study presents a comprehensive literature assessment of collaborative learning in tertiary institutions during the fourth industrial revolution in order to acquire a clear grasp of its importance and application in higher education. Furthermore, Several higher education models have adopted the online-based collaborative learning paradigm, according to the study's findings.

Exploring the Student Perspective: Assessing Technology Readiness and Acceptance for Adopting Large Language Models in Higher Education

Digital technologies are changing and will continue to change how we learn and teach today and in the future. With the latest developments in the field of generative artificial intelligence (AI), particularly large language models (LLMs), the question of using AI-based tools in academic education is ruling the current discussions about the transformative impact of AI in higher education (HE).
 These discussions range from banning these technologies for learning and teaching in HE to guided study support. This study avoids taking up these multifarious and partly controversial debates. Instead, we show how students perceive using AI-based tools for automated text generation for their studies. Drawing on a synthesis of two theories: the 'Technology Readiness Index' (TRI) and 'Technology Acceptance Model' (TAM). The model is validated based on survey data collected among undergraduate first-semester students (N=111) of a computer science-related study programme in Germany in winter 2022/23. The students had to evaluate their relationship to that new technology focusing on their readiness for technology adoption and acceptance. By analysing the collected data with a partial least squares model, we find that the optimism toward the new technology positively influences technology acceptance, while discomfort with the technology negatively influences perceived ease of use. The paper concludes with recommendations for action for adopting LLMs in HE. A proper investment in building AI skills in academic teaching plays a valuable role in fostering the students' positive attitude and innovativeness towards this new technology. Additionally, there is a need for more education about the risks and challenges of using this technology to reduce the impact of factors such as discomfort on ease of use. This requires a factual discourse, away from the current hype-induced exaggerated and hyperbolic statements, for instance, in developing formal guidance for universities.

A SHARI’AH ANALYSIS OF THE NATIONAL HIGHER EDUCATION LOAN SCHEME IN THE MALDIVES

This study conducts a thorough Shari’ah analysis of the National Higher Education Loan Scheme (NSLS) in the Maldives, aiming to assess its adherence to Islamic financial principles. Employing a qualitative desk review research method, it systematically collects and analyzes existing literature, documents, reports, and academic publications related to the NSLS, offering insights into its financing structure, service charges, and contractual obligations. The research reveals critical findings, including concerns about the 1% service charge, the absence of formal Shari’ah oversight, and varying scholarly opinions regarding its Islamic compliance. Importantly, it provides recommendations to enhance the NSLS's alignment with Shari’ah principles, potentially serving as a blueprint for ethically sound higher education funding. This study's originality lies in its pioneering exploration of a relatively uncharted area and its potential to inspire future research and innovative Shari’ah-compliant financing models in higher education, not only in the Maldives but also in broader Islamic contexts.

Application of ChatGPT in Higher Education and Research – A Futuristic Analysis

Purpose: The purpose of conducting research on the "Application of ChatGPT in Higher Education and Research – A Futuristic Analysis" is to critically examine the evolving role of advanced AI language models like ChatGPT in shaping the future of education and research. This research seeks to anticipate how ChatGPT and similar technologies will impact pedagogy, academic support, and scholarly inquiry in the years ahead, shedding light on their potential benefits and challenges. By analyzing current implementations and forecasting future possibilities, this research aims to inform educators, institutions, and researchers about the transformative opportunities and ethical considerations associated with the integration of AI-driven chatbots and language models in higher education and research settings. Methodology: This is exploratory research and makes use of the information obtained from scholarly articles through Google Scholar and AI-based GPTs to analyse, compare, evaluate, and interpret the concept of application of ChatGPT in Higher Education and Research. Results/Analysis: A systematic analysis is carried out on the futuristic and effective use of ChatGPT for higher education, advanced research, scholarly publication, and possible threats of it on higher education industry. Originality/Value: A systematic analysis is carried out to interpret: (1) the diverse applications of ChatGPT in various academic disciplines, including basic sciences, engineering, health sciences, agriculture, management, and social sciences within higher education, (2) how ChatGPT contributes to different types of research, including exploratory, empirical, and experimental research endeavours. Type of Paper: Exploratory Research.

The Mobility of Legal Education in the Tanzimat Period and Mekteb-i Hukuk-ı Şahane

The law is one of the basic and vital foundations that the human species needs to ensure the order existing in nature between individuals in a “just” manner. Law has been an instrument of education in the context of acquiring and learning the awareness of rights as well as rights acquired from birth. In this study, the mobility of the legal education applied during the Tanzimat period of the Ottoman Empire is explored. The establishment of the Encümen-i Daniş and Darülfünun and the deployment of legal education within the higher education model during the construction of the modern academic system are addressed chronologically. The establishment, curriculum, administration/teaching staff, and student profile of the Mekteb-i Hukuk-ı Şahane, which started its education activities as an independent school, are analysed. The graduates of the school, with their identities as jurists, were involved in many different activities that had significance in the history of Turkish law. In this regard, the lives of many graduates could be analysed as topics that will enrich the research conducted on the history of law. Historical analysis method was used in the study and also the data were obtained by scanning the education and state yearbooks. Document analysis method was used in the analysis of the obtained data.

Becoming an Accidental Activist: Researching religion in community

In this paper I reflect on my academic engagement with Sikh communities and on how my status as a Sikh academic scholar has led me to become a representative for Sikh communities to various statutory bodies including media, policy makers, RE teachers, community groups and the legal profession. I reflect on how different audiences have engaged with my research and how my status as an academic activist has impacted on my work. While some argue that academics should not engage in activism, claiming it compromises the objectivity of academic research (Wells, 2018) I follow Choudry (2020) who argues that academics should seek to challenge dominant processes of knowledge production that are not solely driven by higher-education models and practices, but which require academics and communities to work together in a mutually dependent relationship.

A study of Inter-Technology Information Management (ITIM) system for industry-education integration

The integration of big data technology in the manufacturing process has become a norm, and as society's dependence on the digital economy increases, colleges and universities must adjust their teaching methods to cater to their students' needs. In evaluating the success of business-school partnerships, there is a need for common criteria and visualising data analysis results. However, the current educational approach presents some challenges, including a lack of practical experience with software, overemphasis on theoretical concepts, and inadequate training in problem-oriented statistical modeling and big data statistics projects. Industry-education cooperation should be leveraged to enhance the implementation of big data technology and promote its overall development. This paper analyses the shortcomings of traditional talent training models in higher education and proposes incorporating industrial education to address the gaps. The paper aims to bridge the industry-education gap by developing and implementing an Inter-Technology Information Management (ITIM) system for quality education. The ITIM system uses a fuzzy algorithm to evaluate the quality of education and provides various intelligent functional modules, such as group management, financial management, and process-to-process communication. Compared to other integration models, the proposed management system offers superior performance with an industrial education performance accuracy of 98%, an average analysis, and calculation time of 20 ms and a maximum performance efficiency of 98%.By incorporating dynamic analysis of industry education, the experimental results of the talent training model have led to improvements in teaching effectiveness, student learning, and theoretical-applied teaching quality.

Assessing the prospects for using artificial intelligence in higher education system

Introduction. The article deals with the problem of improving the quality of higher education in the context of its computerization. The purpose of the article is to describe the new structure of higher education, based on the principle of a neural network, as well as to identify the prospects of digital transformation for universities, when a wide range of administrative and educational functions might be performed by artificial intelligence. Materials and Methods. The study uses structural modeling in order to build a higher education system that functions as a neural network based on theoretical analysis and reviewing of scholarly literature on the methodology of teaching in high-ranking foreign universities. The author also employs the UTAUT (Unified theory of acceptance and use of technology) model to identify students’ attitudes towards the prospects for the introduction of artificial intelligence in higher education. Results. The paper proposes and describes a new intellectual structure of the higher education system. A distinctive feature of this structure is that employers should become the main evaluators of graduates’ education outcomes. Employers’ feedback is supposed to be provided for universities, adjusting the higher education system to continuously changing market requirements. The advantage of transforming the higher education system according to the principles of neural network functioning will bring a considerable increase in the quality of preparing top-level professionals, and therefore, real prospects for restructuring the national economy will be provided, when GDP growth is ensured not by increasing the amount of exporting raw materials, but by high-tech production. The results of students’ survey conducted and processed using the UTAUT model showed that the younger generation has a positive attitude towards the introduction of AI in the educational process: they are attracted by new prospects in obtaining knowledge and are not afraid of the risks associated with it. Conclusions. The paper concludes that Russian universities, by switching to the new model of higher education, based on a neural network, will be able to dramatically improve the quality of education and become world leaders in the field of preparing top-level professionals, as currently in foreign universities, artificial intelligence manages only a limited range of functions. A distinctive feature of the proposed model is complete digitalization and automation of all routine work at universities, decreasing methodological and reporting load for academic staff, as well as transferring the main teaching load from classrooms to laboratories for a deeper students’ involvement in research activities.

Sentiment Analysis of Merdeka Belajar-Kampus Merdeka Program on Twitter Using the Naive Bayes Algorithm

Merdeka Belajar-Kampus Merdeka (MBKM) is a learning model in higher education that provides freedom and flexibility to students. This model aims to create a culture of creativity, innovation, and non-restriction by allowing students to study for three semesters outside their study programs. The program is an initiative of the Ministry of Education and Culture of the Republic of Indonesia in response to the impact of the Covid-19 pandemic. However, the MBKM program has received varied responses from the public, especially from students who have experienced its effects and hold different views on the MBKM policy. As this is a new policy, it is important to conduct analysis and evaluation of this program involving feedback from the community to enhance its performance. In a research on sentiment analysis of the Merdeka Belajar program on Twitter using the Naïve Bayes algorithm gets an accuracy value of 78% of the model to be able to predict positive, negative, and neutral classes from the 203 testing data used or 20% of all data (1015 data).

Capabilities of Blended Learning as a Teaching and Learning Tool in Tikrit University

In early 2022, After the COVID-19 pandemic, many universities around the world, especially Iraqi universities, continued offering online courses based on a blended learning approach that supporting by traditional learning. The growing demand and popularity of mixed-learning models in higher education has made them a widespread educational phenomenon. However, most of the literature focus on blended learning design techniques only without considering interrelated key components for user needs and how to design blended learning based on user interaction (UI), user experience (UX), and different cultures and languages of learners. Therefore, this research aims to the evaluation of BL at Tikrit University based on the needs, and interactions of students in the learning process. Therefore, This study is an experimental study based on questionnaires distributed to 180 students from different colleges at Tikrit University. Finally, the results show that learning and acquiring skills and knowledge through BL is preferable to learning through traditional classrooms.

Research on the construction and sustainable development of online teaching model for universities based on deep learning

Abstract The worldwide outbreak and pandemic of the New Crown Pneumonia epidemic in 2020 spawned changes in higher education, the most obvious of which was the shift from offline to online teaching models. In this paper, we view online teaching practice activities during the epidemic as a complete dissemination process and systematically study online teaching models in higher education based on convolutional neural network theory. By interpreting the interview records of 100 university teachers interviewed, we can get that 34% of teachers consider themselves as the role of sharers, 29% consider themselves as the leader of students on the learning path, and 24% consider themselves as the role of nurturer for students. Meanwhile, dozens more teachers positioned themselves in various roles that distinguished them from their usual educator roles. From the above data, we can see that the online teaching model has promoted the transformation of teachers’ roles, which is conducive to the development of online teaching and more conducive to promoting the sustainable development of online teaching.

The Characteristics and Strategies of TCM Discourse Model in Higher Education in Hong Kong

Traditional Chinese medicine culture is an important part of Chinese culture. Studying the discourse mode of traditional Chinese medicine is an important way to promote Chinese culture to go global and enhance the influence of Chinese culture. The profile of colleges and universities is the official statement of the organizational identity of colleges and universities. It is an important medium for colleges and universities to convey and promote their positive image, spread discipline culture and affect the public, especially specific stakeholders. Using the Discourse-historical Approach method of Critical Discourse Analysis, this paper selects the School Profile and the Director’s Message in the official websites of the School of Chinese medicine of the University of Hong Kong, the School of Chinese medicine of the Chinese University of Hong Kong and the School of Chinese medicine of the Hong Kong Baptist University as cases to analyze the characteristics and strategies of the discourse mode adopted by the college in constructing its organizational identity and disseminating traditional Chinese medicine culture. It is found that the introductions use a variety of discourse means, such as diversified attitude evaluation, effective naming structure , predicate structure, and “Bi-literacy and Tri-lingualism” discourse mode, and construct a positive and rich image of the school: It has a long history of development and orderly inheritance; It has sound teaching courses and complete system; It has a wide range of influence and fruitful results in the dissemination of traditional Chinese medicine culture; It has made fruitful achievements in cultivating Traditional Chinese Medicine (TCM) talents with international vision, and a large number of elites have emerged.

CONCEPTS, THEORETICAL APPROACHES AND MODELS OF HIGHER EDUCATION AND SCIENCE INNOVATICS

The article is devoted to the consideration of concepts, theoretical approaches, and models of higher education and science innovatics. The main sections that can include the theory and practical implementation of higher education and science innovatics are shown.

Mediterranean diet adherence on self-concept and anxiety as a function of weekly physical activity: an explanatory model in higher education.

Scientific literature has now demonstrated the benefits of an active lifestyle for people's psychological health. Based on the above statement, the aim was to (a) evaluate and adjust a structural equation model containing the variables anxiety, self-concept, and Mediterranean diet adherence and (b) contrast the proposed theoretical model by studying the differences between the variables according to the level of weekly physical activity in a sample of 558 university students. A non-experimental, exploratory, cross-sectional investigation has been proposed. Instruments such as the PREDIMED Questionnaire, the Beck Anxiety Inventory, the International Physical Activity Questionnaire, and the Form 5 Self-Concept Questionnaire were used to collect data. The results illustrate that students showing low adherence to the Mediterranean diet had higher levels of anxiety (M = 0.95) than those showing a high degree of adherence (M = 0.75). It is also observed that young people with a high degree of adherence to the Mediterranean diet report higher scores in the different dimensions of self-concept compared to young people with a low degree of adherence. In conclusion, it is affirmed that young people who show a high degree of adherence to this dietary pattern show lower levels of anxiety and greater recognition of the different areas of their self-concept.

New Higher Education Model? Degree Apprenticeships as a Strategy to Modernize Apprenticeships: Rationale, Current Development in the U.S., and a Conceptual Framework

Purpose: To better prepare young people for the increasingly complex world of work in the global knowledge economy, apprenticeships are receiving renewed attention in countries without a strong history of vocational education. One of the strategies to promote and modernize apprenticeships in these countries is to offer apprenticeships integrated into degree programs, known as degree apprenticeships at the tertiary level. However, little research has been done to explore this new degree pathway. The purpose of this study is to explore the rationales and recent development of degree apprenticeships in the U.S. and to present a conceptual framework for designing and delivering such programs. Approach: Through an extensive literature review, this study examines the underlying justifications for the integration of apprenticeships into degree programs. Subsequently, it delves into the current progress of degree apprenticeships in the U.S., substantiating the rationales. Finally, it explores multiple facets of degree apprenticeships, offering a conceptual framework for higher education institutions to consider when implementing such programs. Findings: This study discusses two rationales for degree apprenticeships. First, they enable permeability of vocational education credentials, one of the features of a robust apprenticeship system. Second, they also equip higher education institutions to effectively prepare young people for work in response to globalization. For these reasons, recently, community colleges, the primary vocational education providers in the U.S., have actively been implementing apprenticeships within degree programs. This study also outlines four interconnected dimensions of apprenticeships - occupational, pedagogical, relational, and aligned – as a conceptual framework for implementing degree apprenticeships. Conclusion: By providing a useful context and framework for degree apprenticeships, this study contributes to the growing body of research on apprenticeships and provides a foundation for on-going research to advance the theory and practice concerning degree apprenticeships. Future studies can explore the process of implementing degree apprenticeships using the suggested framework and develop strategies to further modernize apprenticeships based upon this study.

Research on Music Education of “Double Tutor System” for Postgraduate Students in China and Belarus

The construction of the “double tutor system” is a crucial link in promoting the comprehensive reform of professional master’s degree postgraduate education, and it is also a comprehensive work that involves the interests of primary stakeholders such as universities, enterprises and industry departments, tutors inside and outside the school, and postgraduate students. During the implementation of the “Double Tutor System”, due to the different interest demands of the main stakeholders and the mutual game between them, the contradictions between academic logic and market logic, internal development law of education and external development environment, personal value and social value are typical. Therefore, the Double Tutor of higher education has become the inevitable trend of education development in colleges and universities in today’s society, which is also a new type of school-enterprise joint training mode. A questionnaire survey was conducted for the master’s group as the research target. It also analyzes the relevant questions of the questionnaire, puts forward relevant feasible suggestions, and solves the relevant problems of the double tutor system for postgraduates in China and Belarus, to promote the training path of professional masters and promote the rapid development of new higher education models.