Majors In Higher Education Research Articles

Teaching Reform and Practice of Data Structure Course Based on Smart Teaching Platform

With the rapid development of information technology, smart teaching platforms have become important tools for higher education teaching reform. As a core course of computer science and technology-related majors in higher education, the data structure course lays a solid foundation for students’ professional learning and plays an important role in promoting their future success in technology, research, and industry. This study conducts an in-depth analysis of the pain points faced by the data structure course, and explores a teaching reform and practice of integration of theory and practice based on the system application of a smart teaching platform before class, during class, and after class. The reform practice shows that this teaching mode improves students’ learning initiative, learning motivation, and practical skills. Students not only achieved better results in knowledge mastery but also significantly improved in problem analysis and solution.

Enhancing decision-making framework for talent cultivation quality evaluation using dual Hamy mean and prioritized aggregation operators

At present, the solidification of disciplines and majors in higher education, unclear training objectives, and the need to strengthen teacher information literacy are practical problems that constrain the optimization of the “artificial intelligence+” talent training model. Scientifically adjusting training objectives, upgrading the “artificial intelligence+” talent training model in higher education by integrating multi-disciplinary curriculum systems, strengthening school enterprise cooperation, industry education integration, establishing credit recognition mechanisms and diversified evaluation mechanisms. The quality evaluation of “Artificial Intelligence+” talent cultivation in higher education in the era of education informatization 2.0 is looked as the multiple-attribute decision-making (MADM) issue. In this paper, we extended the dual Hamy mean (DHM) operator and prioritized aggregation (PA) operator to 2-tuple linguistic neutrosophic sets (2TLNSs) to propose the 2-tuple linguistic neutrosophic prioritized DHM (2TLNPDHM) operator. Finally, a decision example for quality evaluation of “Artificial Intelligence+” talent cultivation in higher education in the era of education informatization 2.0 is employed to show the 2TLNPDHM operator. The main contributions of this study are summarized: (1) the 2TLNPDHM operator is built; (2) the 2TLNPDHM operator is designed to cope with the MADM with 2TLNNs; (3) an empirical real-life example for quality evaluation of “Artificial Intelligence+” talent cultivation in higher education in the era of education informatization 2.0 is supplied to proof the designed method; (4) some comparative decision studies are used to show the rationality of the 2TLNPDHM.

Does major make a difference? Mental health literacy and its relation to college major in a diverse sample of undergraduate students

Examining a large number of specific college majors and their association with mental health literacy (MHL) is an important step towards identifying at-risk groups at the college level. Though prior research has investigated MHL across student demographics such as gender, age, ethnicity, and level of education, the present study was the first to compare the MHL of undergraduate students across 19 different college majors. A total of 617 demographically and ethnically diverse undergraduate students (62.1% female; 69.3% non-white; mean age = 22.2 years; mean year in college = 2.8) reported their demographics, college experience, and college major, and completed an MHL measure that assessed knowledge of more than 20 psychological disorders and the application of that knowledge to real life scenarios. After controlling for gender, data were analyzed using ANOVA and post hoc comparisons to determine if differences in mental health literacy level were related to specific college majors. Results revealed that mental health literacy significantly differed across majors, F(18, 598) = 5.09, p < .001. Specifically, students majoring in accounting, nursing, business, biology, and those in a multidisciplinary category had significantly lower mental health literacy scores compared to the highest scoring major, psychology. We present empirical data about variations in mental health literacy across many different majors in higher education. Our findings provide a rationale for interventions for academic majors with lower MHL, as well as a rationale for training of college faculty and staff, for the purpose of improving psychological well-being in at-risk college students.

Book Review: The Marginalised Majority in Higher Education: Marginalised Groups and the Barriers They Face

Book Review: The Marginalised Majority in Higher Education: Marginalised Groups and the Barriers They Face

Integration of Ideological and Political Elements into Philology Courses in Higher Education: An Exploratory Analysis and Practical Implementation within the Context of the New Era

Philology is a fundamental course for Chinese majors in higher education, which contains rich ideological and political education resources. In the context of the new era, integrating ideological and political elements into the course of philology is not only an inherent requirement of the course itself but also a necessary requirement for the development of education. This article explores the practical paths of integrating ideological and political elements into the course of philology by mining its ideological and political resources, providing theoretical reference and practical inspiration for comprehensively promoting the ideological and political reform of language and literature courses in the new era.

Persistence of STEM Majors in Higher Education

Students in STEM programs often face difficult or ‘weed out’ courses in their first year of declaring their major and are frequently confronted with academic threats such as lack of understanding complex concepts, or receiving poor grades. The U.S. is estimated to need at least 1 million more STEM majors to meet the growing job market in STEM fields, and nearly 60% of students who declare a STEM major eventually switch to a non-STEM major or leave without any degree (Turetsky et al., 2020). Drawing on self-affirmation theory, this quantitative study explores the role that academic confidence and a sense of belonging play in STEM major persistence through a lens of self-affirmations. Fifty-four undergraduate students participated in a pre-test/post-test survey with a double-blind affirmation intervention in an introductory chemistry I course. Findings revealed a remarkably high STEM major persistence rate of 102%, but no statistically significant findings, challenging the notion of standalone affirmation interventions as a quick solution for retention. While the intervention did not yield statistically significant results, post-test belonging scores suggest a more significant influence on persistence than academic confidence. The study underscores the complexity of promoting STEM major persistence. Future research could explore longitudinal impacts, additional institutions, and mechanisms underlying student belonging to develop more effective retention strategies.

A Novel Influence Analysis-Based University Major Similarity Study

In the field of education, investigating the relationships between different majors in universities is an important topic in current educational research. The application of social networks from informatics provides new opportunities and potentials for the field of education. Due to the complexity of social interactions, the social network connections surrounding individuals exert a significant influence on their daily decision-making processes. This paper aims to introduce the social network and influence analysis theories from informatics into the field of education, regarding major as a variable, and comparing and analyzing the influence relationships between majors. An empirical study was conducted, involving the collection of questionnaire data on graduates’ evaluations of various aspects of their university experiences across different majors. The evolution of this model follows the DeGroot opinion dynamics with the inclusion of stubborn nodes. By defining leader majors and general majors based on the data and modeling the questionnaire data as the outcome of a discrete random process, an influence matrix is ultimately generated through the opinion dynamic model. Through this modeling approach, we revealed the underlying influence relationships between different disciplines (majors). These findings provide schools with insights to adjust the directions of discipline cultivation, and offer new perspectives and methods for the study of majors in higher education.

Psychoeducation to Introduce Interests and Majors in Higher Education for Vocational High School Students

Determining career and further education is a very important thing for students to prepare for, especially for senior high school grade. Currently, there are still many students who lack knowledge about careers, professions, even higher-level education if they want to continue their education after graduated from high school level. Readiness of information and knowledge about professional qualifications need to be exposed intensively to make the right decisions in continuing their education and determining their profession in the future as well as exploring interests as their career plan. The methods used by the team are preparation, program planning, and program implementation. Providing psychoeducation to introduce interests and majors in higher education to vocational high school students in order to prepare the young generation at a productive age so that they are able to direct themselves according to their interests and based on the knowledge they have received regarding information about higher education majors for vocational high school students. After receiving psychoeducation, and taking an interest test, students find out their career interests. This community service has succeeded in providing an overview and understanding of students' interests and careers so that they can examine the suitability of their career interests and aspirations.

Research on Cultivating the Historical Views of History Majors in Higher Education

As an important major in higher education, the historiography can help students achieve a deep understanding and systematic un-derstanding of historical knowledge through learning, which plays an important role in promoting the cultivation and construction of China s history talent team. Based on this, under the guidance of educational reform work, with the realization of the goal of establishing virtue and cultivating talents and the promotion of the concept of quality education, a large number of educators have analyzed and explored the training direction and mode of students major in historiography in higher education, which has promoted the continuous expansion and deepening of the cultivation of historical views. From the perspective of historiography teachers in higher education, this article analyzes and sorts out the cultivation methods of students historical views, hoping to provide some reference for the subsequent development of history teaching work, and thereby promoting the full cultivation of high-quality history talent teams.

User Satisfaction with Application for Postpartum Maternal Gymnastics (SIMPOR)

Introduction: Bleeding is the main cause of 50%-60% morbidity and mortality in the postpartum period due to imperfect myometrial contraction. Postpartum exercise is one of the actions of maximizing uterine contractions. It's accelerate uterine involution. Technology development very fast today, improvement of postpartum android base application that's applicable, educative and informative is needed. This study aims to develop a postpartum maternal exercise application (SIMPOR) for postpartum mothers using Android then test them until obtaining descriptions about satisfaction with the SIMPOR application. Methods: This study used a Research and Development method (R&amp;D) with 152 respondents taken by proportional stratified random sampling. Data analysis was chi-square with univariate and bivariate. Results: The majority of participants were aged in 20-40 years old (98%), educational majority in higher education (59.9%), most of the respondents were housewives (65.8%), having more than one toddler (77.6%), and the average of toddler age was less than 2 years old (84.2%). Most of the respondents' satisfaction with the SIMPOR application was very satisfied (88.16%); 3) There was a relationship between mother's work, parity, and the smallest child age on the satisfaction of using the SIMPOR application with pvalue&lt;0.05. Conclusion: Participants were very satisfied with this SIMPOR application. Based on that result, hopefully postpartum mothers can use this application as postpartum exercise guidance and to monitor their process postpartum period involution.

Decision Support System for Major Selection in Higher Education for Multimedia Graduate Students using Fuzzy Mamdani Logic

Students at the vocational high school level are indeed prepared to be able to work directly, but it does not rule out the possibility that vocational high school students can continue higher education such as universities. But the problem that will be faced again if students who graduate from vocational high schools choose to continue their education in college is what major they will take. One of the vocational high school majors, namely Multimedia, has a wide scope, so grade 3 vocational high school students who want to go to college have a dilemma in deciding on a major. This research applies the fuzzy logic mamdani to help make decisions for majors in higher education. This study is based on 5 input parameters, namely Komputer dan Jaringan Dasar, Desain Grafis Percetakan, Dasar Desain Grafis, Teknik Audio Visual, and Animasi. There are outputs of 5 majors in Teknik Komputer, Desain Komunikasi Visual, Animasi, TV dan Film, and Fotografi. The results of this research can make it easier and can provide support for grade 3 vocational high school students, especially the Multimedia department in choosing a major in higher education. The results of the decision support system with the highest student score data in Animasi will appear a recommendation score of 79.8 in the Animasi department, and on the highest student score data on the Komputer dan Jaringan Dasar, a recommendation score of 79.8 will appear in the Teknik Komputer major in accordance with the major taken and lived by the current student.

Research on the Influencing Factors of Cultivating Interdisciplinary Talents by College English in the Context of Free Trade Port Based on Knowledge Graph

Abstract This paper proposes a named entity recognition method based on multitask pointer networks, which uses Transformer and BERT to extract features, thus greatly increasing the fault tolerance of the model. Sequence annotation is realized through the conditional random field model, which can recognize complex nested vocabularies, therefore establishing a knowledge graph related to the Free Trade Port (FTP), constructing the framework of influencing factors for the cultivation of interdisciplinary talents of non-English majors in higher education and preparing a questionnaire on influencing factors. The results show that after 2019 and 2020, the number of articles issued and cited about FTP has demonstrated significant growth. The keywords related to the research hotspots of FTP were clustered, and 14 effective clusters were obtained. The intention to cultivate interdisciplinary talents of non-English majors is positively correlated with students’ knowledge, students’ personality traits, and the economic environment of FTP (P&lt;0.01), with Pearson coefficients of 0.534, 0.287, and 0.335, respectively. To cultivate interdisciplinary talents, the pedagogical principle should be developed, which involves enhancing curriculum, increasing practical experiences, and innovating instructional methods.

PBL Teaching Method of “Biology Experiment” Based on the OBE Concept

The biology experiment course is an essential introductory and compulsory course for biology majors in higher education. With the rapid development of biology research, improving the quality of classroom teaching and stimulating students’ innovative and practical abilities is a critical issue that needs to be solved in biology experiment course. This article analyzes the problems in biology experiment course, summarizes experimental teaching experience, and designs teaching based on student learning outcomes, exploring innovative reform plans for course teaching. Adopting problem-based and project-based learning with the concept of Outcome-Based Education, we will attempt to reform the “Biology” curriculum and construct a student-centered and result-oriented teaching model. It is conducive to stimulating students’ interest in learning, mobilizing their active participation in classroom learning, effectively improving their learning ability and sense of achievement, promoting the overall quality of students, and thus achieving the goal of improving the quality of biology teaching, laying a solid foundation for talent cultivation.

Research on Factors Influencing the Quality of Talent Cultivation in Music Majors in Higher Education

This study aims to assess the current status of music professional talent cultivation quality in universities. It seeks to integrate factors influencing the quality of music talent cultivation, including the interplay between quality indicators, cultivation mechanisms, and autonomy. A theoretical model for the quality of music talent cultivation is proposed based on a sample of 1988 students from 16 undergraduate universities with music majors in Shaanxi Province. The study utilizes mathematical statistics and SPSS for data analysis, focusing on questionnaire reliability. Confirmatory factor analysis uses AMOS24.0 software, and model fit testing is performed against established indicators. The research findings reveal that the theoretical model aligns with the measured data, meeting fitting standards. Descriptive analysis and correlation testing show positive correlations between variables. Univariate analysis of variance based on majors, ages, and regions indicates significant differences. The study highlights the positive impact of understanding influencing factors on practical efforts to enhance the quality of music talent cultivation in universities. It recommends innovative reforms, such as expanding major choices, developing personalized curricula, and adopting tech-supported teaching methods. Strengthening management systems, effective supervision, and enhancing quality standards are emphasized for improving music education and talent cultivation, fostering overall progress and reform in this field.

Skills mismatches in Cambodian higher education: Major causes and possible solutions

Higher education in Cambodia has made noteworthy strides in recent years. However, as the country experiences rapidly evolving economic needs and technological advancements, the mismatch between the skills graduates possess and those demanded by the job market remains a focal point of discussion. This article aims to discuss the issue of skills mismatches in higher education in Cambodia. It provides an understanding of skills mismatches in Cambodian higher education and delves into the major causes of this pressing issue, including limited public investment in higher education, limited involvement of concerned stakeholders, limited use of up-to-date curricula and teaching methods, limited English proficiency, lack of career guidance for students, and a low level of research engagement among Cambodian academics. The article offers solutions to address this pressing issue by emphasizing potential measures, such as providing sufficient orientation to students on the selection of majors in higher education, enhancing government-university-industry linkages, establishing a clear roadmap for improving higher education quality, modernizing curricula and teaching methods, encouraging learner autonomy and a culture of lifelong learning, promoting diversity and inclusion in higher education, enhancing the circulation of information about the job market and industrial needs, and improving the quality and research capacity of faculty members. The article argues that addressing skills mismatches in Cambodian higher education requires a genuine reform and concerted efforts from all concerned stakeholders. It concludes with suggestions for future research.

IoT Networks-Aided Perception Vocal Music Singing Learning System and Piano Teaching with Edge Computing

The research on Internet of Things (IoT) network and edge computing has been a research hotspot in both industry and academia in recent years, especially for the ambient intelligence and massive communication. As a typical form of IoT network and edge computing, the intelligent perception vocal music singing learning system has attracted the attention of researchers in education and academia. Piano teaching is an important course for music majors in higher education. Strengthening piano teaching can cultivate outstanding piano talents for the country and promote the development of music art. This paper applies IoT perception technology to piano teaching, constructs an intelligent piano teaching system, and uses edge computing algorithms to accurately deploy sensors into the system by exploiting the ambient intelligence and massive communication. The system includes data acquisition, data perception, data monitoring, and other modules, making piano teaching more humanized and intelligent. Experiments show that the research in this paper provides important guidance for the application of IoT networks and edge computing, especially for the ambient intelligence and massive communication.

Selection of a Sustainable Strategy Using DSS for Students in Selecting the Faculty of Economics and Business with the Topsis Method

Universities must be able to predict opportunities and challenges with the right interest in the students choosing majors in higher education in the digitalization era. This study provides the right strategy for FEB UDINUS by proposing a structural hierarchical model to analyze changes in student decision-making patterns in choosing the Faculty of Economics and Business at Dian Nuswantoro University in the digital market era by taking the context of sustainable value. The data collection techniques used in-depth interviews to determine student’s decision-making criteria in choosing FEB majors. The analysis of decision making factors was processed using TOPSIS (Technique for Order Preference by Similarity to Ideal Solution). The results of this study show the ranking strategy of the most appropriate ranking such as the strategy to find credible partner, the strategy to provide additional community benefits, the strategy to educate the community, the strategy for building collaboration between students, the strategy for creating iconic brands, the strategy for building collaboration between faculty and students, the strategy for building new learning models, and the strategy for building a new learning culture. Keywords:Sustainable strategy, DSS, Topsis Method

BUILDING CRITERIAS FOR ASSESSING OF BLENDED LEARNING AT UNIVERSITIES IN VIETNAM

Blended Learning is the integration of traditional face-to-face learning and distance learning (E-learning). Throughout Blended Learning, instructors will give some clear parts of instructions on a part of their lesson, students will do online work without the lecturers for the rest. Students are likely to become active and understand new concepts more easily than passively acquire knowledge in traditional classrooms. Higher education institutions have a large number of suitable characteristics to deploy Blended Learning, such as the understanding of learners in information and technology, high-quality professors, and easy access to technology. The characteristics of economic science subjects are sociality, advisable communication, reading documents, videos, multiple choices, and analysis question(s). Moreover, the features of majors in higher education are more highly appreciated with Blended learning. Blended Learning makes these majors more effective in learning and teaching. These days, although E-learning develops drastically, with some problems with the insight of Vietnam’s educational condition, reverse classes have proved the corresponding in building a great environment that helps this method to be dominant. This study comes up with building integration of evaluation teaching scale at higher education institutions in Vietnam, according to the example of Blended Learning, in response to the process of teaching. This scale with criterias about Blended learning set the targets to evaluate the effectiveness and the ability of far-reaching of this teaching method at higher education institutions in Vietnam. This scale is tested and checked for reliability to be applied in the next research.

Development of Engineering Vocational Choice Systems in Higher Education

The high unemployment rate is a challenge for the world of education because not all graduates succeed in entering the world of work. Higher education is one of the largest contributors to unemployment in Indonesia. Likewise with the objectives of vocational education which are expected to be able to immediately work and create jobs. The problem is that not all majors are according to personality type. Therefore, researchers will develop a system aimed at recommending majors in higher education based on personality types. The method used is the Research and Development (R&amp;D) method using the Four D (4 D) model a. Defining stage (Define); b) Design Stage (Design); c) Development Stage (Develop); d) Stage of Spread (Disseminate). This research was only carried out to the extent of development and resulted in a valid system to be implemented based on the validator's assessment. The data collection instrument consisted of product and linguistic expert validation sheets. This study shows that the validation results have an average percentage of 92.5% with a valid category. Based on the results of the research and discussion, it can be concluded that the system is valid to be used as a reference in selecting majors

An Empirical Analysis of Higher Education in Tianjin Serving Regional Economic Development

The development level of higher education in a region is closely related to the economic development of the region. On the one hand, the development of higher education serves the economy. The setting of disciplines and majors in higher education determines the structure of talent training. Different majors cultivate talents in different aspects, affecting regional economic development's speed and quality. On the other hand, economy is the foundation of education development, and the level of economic development restricts the scale, speed, content and structure of higher education development. How to improve the level of higher education to serve the regional economy's development better has become a topic worth paying attention to. Based on the theoretical relationship between higher education and regional economic development, this paper studies higher education from the perspective of talent needs of regional economic development based on the relevant data of Tianjin from 2010 to 2019, draws relevant conclusions by comparing with the data of Beijing and Shanghai, and puts forward suggestions for the future development of higher education in Tianjin.