Influence College Students Research Articles

Arctic Floating University Diary as the Media Genre Influencing University Students’ Perception of the Arctic Issues

Arctic Floating University Diary as the Media Genre Influencing University Students’ Perception of the Arctic Issues

Quality Evaluation of College Students' Sports Work Based on Intellectual or Intuitive Fuzzy Information in Language

Numerous factors influence college students' athletic behaviour and psychological qualities such as sports learning interest, autonomy support in sports play important roles in forming their participation in sports activities. The study used acceptable research methodologies to analyse effect of sports learning interest, autonomy support in sports on college students' sports behaviour, specifically their physical activity levels. In this research work, Quality Evaluation of College Students' Sports Work Based on Intellectual or Intuitive Fuzzy Information in Language (QECSSW-IGNN-QCTO) is proposed. The input data are collected from College student data from Sichuan University. Then, the input data are pre-processed using Adaptive-Noise Augmented Kalman Filter (ANAKF) for finding missing data and cleaning the duplicate data. Then the pre-processed data are given to Iso-Geometric Neural Network (IGNN) for evaluating the quality of college students sports work (sports exercise grade). In general, IGNN doesn’t express some adoption of optimization approaches for determining optimal parameters to evaluating the quality of college students’ sports work. Hence QCTO is proposed to optimize IGNN classifier which precisely evaluates the quality of college student’s sports work. The proposed QECSSW-IGNN-QCTO method is implemented in Python, and it assessed with several performance metrics like, Accuracy, Cross validation scores, Recall, F1 score, and ROC. The results show QECSSW-IGNN-QCTO attains 23.4%, 28.3%, and 22.6% higher Accuracy, 25.9%, 17.6%, and 29.4% lower Cross validation scores, 24.6%, 27.5%, and 18.7% higher Recall are analysed with existing methods such as, prediction method of college students’ sports behaviour depend on machine learning method (PMC-SSB-MLM), Designing and implementing an innovative sports training system for college students' mental health education (DII-STSC-SMHE), The effect of sports science students' online learning attitudes on their readiness to learn online in emerging coronavirus pandemic (ESS-SOLA-ECP) methods respectively.

Exploring the Key Factors Influencing College Students’ Willingness to Use AI Coding Assistant Tools: An Expanded Technology Acceptance Model

The application of artificial intelligence (AI) in programming assistance has garnered researchers’ attention for its potential to reduce learning costs for users, increase work efficiency, and decrease repetitive coding tasks. However, given the novelty of AI Coding Assistant Tools (AICATs), user acceptance is currently limited, and the factors influencing this phenomenon are unclear. This study proposes an expanded model based on the Technology Acceptance Model (TAM) that incorporates the characteristics of AICAT users to explore the key factors affecting college students’ willingness to use AICATs. Utilizing a survey methodology, 303 Chinese participants completed the questionnaire. Factor analysis and Structural Equation Modeling (SEM) results indicate that users’ dependence worry (DW) about AICATs positively affects perceived risk (PR), which in turn negatively impacts perceived usefulness (PU) and perceived ease of use (PEOU), thus reducing user willingness to use. Dependence concerns also negatively impact perceived trust (PT), while PT positively affects PU and PEOU, thereby enhancing willingness to use. Additionally, a user’s self-efficacy (SE) negatively impacts DW and positively affects PEOU. This study discusses the potential significance of these findings and offers suggestions for AICAT developers to foster and promote widespread use.

Analysis of factors influencing college students' food waste behavior and evaluation of labor education intervention.

Food waste remains a major problem for the world and food security. Despite the fact that consumers are significant producers of food waste, little research attention has been paid to college students. The present study aimed to assess food waste and the influence factors among college students. Additionally, the goal was to improve college students' food waste attitudes and behaviors through labor education. Through an online questionnaire survey, 407 college students from three universities were asked about food waste; 27 students of them were randomly selected as the research object, and labor practice was carried out in groups in the student cafeteria. Mann-Whitney U test was performed to show food waste behavior of college students and logistical regression analysis was used to analyze the factors affecting food waste behavior. The results indicated that the food waste is more serious among college students in East China, senior or female students, BMI plays a positive role in food waste among college students, while monthly consumption and peers waste play a negative role in food waste. After participating in the labor education, the students' views and practices toward their peer's food waste have improved. The implementation of labor education in college canteens is conducive to the establishment of a correct outlook on labor as well as saving consciousness among college students, and to the formation of a social consciousness of saving.

Antecedents of College Students’ Continuance Behaviors in Online Fragmented Learning: An Empirical Analysis from the Extended ECM Perspective

With the popularity of mobile networks and intelligent terminals, online fragmented learning, as a new learning method, has become the mainstream way for college students to acquire knowledge and study independently. However, college students are prone to “accept-interruption” in online fragmented learning; thus, it is difficult for them to master a complete knowledge system and form a rigorous logic system, which is essential to ensure the effect of online fragmented learning. Therefore, this study investigates the antecedents of college students’ continuance behaviors in online fragmented learning (CBOFL). Based on the expectation confirmation model (ECM), a theoretical model is developed to examine the factors influencing college students’ CBOFL. Taking a total of 429 undergraduate students who have studied contest courses on the Chinese university massive open online courses (MOOCs) for research subjects, the mechanism underlying the determinants of college students’ CBOFL is analyzed, and six hypotheses are tested by a structural equation modeling (SEM) technique with AMOS. The results indicate that confirmation positively impacts intrinsic learning motivation and satisfaction; intrinsic learning motivation, satisfaction, and teachers’ influence all significantly positively affect college students’ CBOFL. Additionally, the predicting powers of different factors on college students’ CBOFL vary broadly; therein, satisfaction has the most significant effect. This study makes theoretical contributions to the quantitative research on college students’ CBOFL and literature on the ECM. Still, it also has important practical significance in guiding college students’ CBOFL and facilitating the sustainability of online fragmented learning.

Factors Influencing University Students’ Behavioral Intention and Use of eLearning in Kathmandu Valley

This study aims to investigate the factors influencing university students’ intention and behavior toward eLearning in Kathmandu Valley, Nepal. The research framework used in this study was the Unified Theory of Acceptance and Usage of Technology (UTAUT). The most common factors associated with UTAUT are social influence, facilitating conditions, habit, performance expectancy, effort expectancy, behavioral intention, and use behavior. Data were collected from 385 university students through a closed-ended questionnaire through social media platforms. The demographic information of respondents was summarized using SPSS version 25 software, while structural equation modeling was performed using SmartPls version 3 to identify the factors that influence behavioral intention and use behavior of eLearning. The data analyses revealed that performance expectancy, effort expectancy, facilitating conditions, social influence, and habit all significantly influence the behavioral intention of eLearning, with facilitating conditions being the most significant factor. Similarly, habit, facilitating conditions, and behavioral intention also significantly influence the use behavior of eLearning, with facilitating conditions as the most significant factor. It suggests that students are more likely to utilize eLearning tools when they have access to various technical devices and receive sufficient support from educational institutions. Therefore, universities should prioritize accessibility, feedback mechanisms, and seamless integration of eLearning into curricula. Peer support, technical assistance, and promotion of the benefits of eLearning are also essential for fostering engagement. By focusing on these aspects, eLearning adoption can be optimized, leading to improved academic performance and learning outcomes among university students in Kathmandu Valley.

A Research on University Students’ Behavioral Intention to Use New-generation Information Technology in Intelligent Foreign Language Learning

A better understanding of how advancement in science and technology affect students’ learning behavior in an academic setting can help all educators in higher education. With the advancement of science and technology, the new-generation information technology represented by “Cloud Computing, Big Data, Internet of Things, Mobile Network, and Artificial Intelligence” has been profoundly changing the form of education, accelerating the transformation from Teaching 1.0 to Learning 2.0. To investigate the factors influencing university students using a new-generation information technology in intelligent foreign language learning, this study proposed a research model based on Technology Acceptance Model. The sample data were collected from a survey of 237 students at a university. The analysis of structural equation modeling indicated that perceived usefulness, perceived ease of use, construction of foreign language intelligence classroom, and computer self-efficacy all have a positive impact on learners’ behavioral intention. These findings suggest that more emphasis should be laid on students’ learning characteristics, advantages of a new generation of technology, as well as teachers’ intelligent literacy, to further promote the deep integration of the new-generation information technology and intelligent foreign language learning, improving the learning effectiveness ultimately and effectively.

The impact of a chatbot working as an assistant in a course for supporting student learning and engagement

AbstractNowadays, many digital learning tools can be integrated into a course to enhance the teaching–learning process. It is a fact that technology is changing how students learn and how professors teach. The growing utilization of AI chatbots in education to support students' learning underscores the importance of identifying critical aspects related to students' acceptance of this technology. Teachers require a deeper understanding of how students perceive and respond to chatbot assistance, as well as methods to measure levels of satisfaction, engagement, and knowledge acquired while using these technological tools. The aim of this study was, on the one hand, to illustrate the integration of a chatbot into a course to assist students in solving specific learning activities. On the other hand, it aimed to analyze the correlation between the factors influencing university students' intention to use chatbots and their perceived usefulness. It is noteworthy that the learning activity integrated two technologies: an Integrated Development Environment and a chatbot, offering additional educational value to students. The Technology Acceptance Model was used to measure the students' perceived usefulness and attitude toward this digital learning tool. The findings of this study provided insights to faculty on how to integrate and use chatbots to enhance students' engagement and motivation. The results revealed that the perceived usefulness of chatbots does, in fact, influence students' intention to use them. Most of the students expressed satisfaction with having a chatbot to assist them in solving exercises. Students highlighted that one of the most significant benefits was the 24/7 chatbot's support availability and its user‐friendly interface.

How Danmaku influences college students’ attitudes toward characters in TV series: evidence from ERPs

How Danmaku influences college students’ attitudes toward characters in TV series: evidence from ERPs

Transformasi Pakaian Tradisional di Universitas Jember: Pengaruh Budaya Luar Terhadap Pakaian Tradisional

This research explores changes in fashion styles among Jember University students in the digital era, which are influenced by social media, digital platforms and international cultural migration. Traditional clothing styles have undergone significant changes due to the influence of foreign cultures in design and materials. Students, as active users of social media and the internet, are the main targets of this change, often exposed to the latest fashion trends and campus events that demand a fashionable appearance. Interviews with two FISIP students at the University of Jember revealed that social media greatly influences the way they dress, reflecting Jean Baudrillard's theory about consumer society. According to Baudrillard, consumption not only fulfills basic needs but also functions as a symbol of identity and social status. Jember University students follow fashion trends to express themselves and demonstrate social affiliation, despite facing challenges such as financial management and disrupted academic priorities. This research uses a case study-based qualitative approach, with semi-structured interviews and field observations to obtain in-depth data. Thematic analysis was carried out to identify main themes such as economic conditions, the influence of fashion trends, and the role of social media. This research shows that changes in student fashion styles are not only a fashion phenomenon, but also reflect broader social and cultural dynamics in the digital era. Baudrillard's theory provides a foundation for understanding how symbolic consumption and the influence of social media influence college students' clothing style choices, as well as their impact on their cultural and socio-economic identities.

Exploring the Moderated Mediation of Hope: The Influence of College Students' Career Maturity on Happiness Mediated through Self-Identity

Exploring the Moderated Mediation of Hope: The Influence of College Students' Career Maturity on Happiness Mediated through Self-Identity

Factors influencing consumers’ green purchase behavior for sustainable organic food by Botswana university students

Sustainability issues are increasingly becoming important in business and society with many businesses in the food sector adopting green organic food production. The understanding of factors influencing consumers' green purchasing behavior will be more important to food marketers. The purpose of this study was to investigate the factors influencing consumers' green purchasing behavior for sustainable organic food by Botswana university students. To achieve this purpose the study followed an investigative qualitative approach. In-depth interviews were used to gather data. A sample of 15 university students was selected using a purposive sampling method. A thematic and narrative analysis method was used for this study. Results show that the factors influencing university students' green purchasing behavior for organic foodstuffs are multi-faceted. These factors include selection criteria such as price. distribution, product performance, and health attributes), consumers' environmental consciousness (environmental awareness, environmental knowledge), and consumers' green attitudes. The practical implications are that the businesses involved in organic food need to intensify the promotion and education of consumers on green and sustainable organic foods. The focus should be on the impact of green products on society, people, and the environment.

Gamification acceptance model towards online learning among college students: an empirical study based on mediation and moderation

PurposeThe purpose of this empirical study is to explore the factors that influence college students' intention to engage in online gamified learning in Guangdong and Macao.Design/methodology/approachThis study analyzed 289 valid questionnaires to statistically explore the factors that affect college students' intention to engage in online gamified learning.FindingsThe study discovered that extroverted learning style, perceived usefulness and perceived enjoyment have a positive and significant impact on students' intent to participate. Moreover, perceived usefulness and perceived enjoyment partially mediate the effect of extroverted learning style on the intention to engage in online gamified learning. Additionally, the impact of perceived usefulness on intention is moderated by different cultural backgrounds, with the moderation effect being stronger for Macao students than for non-Macao students.Originality/valueThis empirical study, based on the technology acceptance model (TAM), explores the factors that influence college students' intention to engage in online gamified learning in Guangdong and Macao and constructs a gamification acceptance model.

Influence of moderate-to-high intensity physical activity on depression levels: a study based on a health survey of Chinese university students

ObjectiveThe study aims to examine how moderate-to-vigorous physical activity (MVPA) affects the severity of depression symptoms among Chinese college students. Additionally, it seeks to analyze the mediating mechanisms involving self-rated health and general self-efficacy.MethodsThe study utilized data from the 2023 Chinese College Health Tracking Survey and employed multiple linear regression and structural equation modeling techniques to investigate the impacts of MVPA on depression levels and its underlying mediating mechanisms among college students. The primary cohort comprised 49,717 enrolled college students from 106 universities in China.ResultsA total of 41,620 valid questionnaires were collected (response rate: 83.7%), with females accounting for 58.6%. In the past month, approximately 30.2% of college students engaged in MVPA. Self-rated health (B = − 0.282, P < 0.001) and general self-efficacy (B = − 0.133, P < 0.001) significantly influenced college students’ depression scores. Even after controlling for other variables, participating in MVPA remained significantly associated with reduced depression scores (B = − 0.062, P = 0.002). The results of the structural equation model showed that MVPA not only directly decreased college students’ depression scores but also indirectly reduced the likelihood of depression occurrence by improving their physical health status and general self-efficacy.ConclusionThe lack of physical activity among Chinese college students is evident. Engaging in MVPA can reduce the likelihood of depression among college students. MVPA achieves this reduction by enhancing college students’ general self-efficacy and improving their physical health. The factors influencing depression levels among college students are multifaceted. For future interventions targeting college students’ mental health, comprehensive approaches that incorporate behavioral and psychological factors should be emphasized.

An analytical model of college students' self-assessed satisfaction with the effectiveness of online learning: a structural equation model integrating LICE and S-O-R models.

Nowadays, e-learning significantly affects college students' academic life. This study aims to examine the factors that influence college students' satisfaction with online learning outcomes. The study population consisted of undergraduate students from Dalian Medical University, with a total of 715 college students participating in the study. Out of these participants, 602 valid questionnaires were obtained. Demographic data was analyzed using SPSS.22, and the data was cleaned and prepared for testing the research hypotheses. The proposed research framework was examined using structural equation modeling (SEM) through Smart-PLS 3.0. The results of the study showed that student satisfaction with learning outcomes was positively correlated with several factors: quality of teacher instruction (β = 0.100, p < 0.0001), quality of e-learning platforms (β = 0.059, p < 0.0001), individual learner factors such as learning motivation (β = 0.112, p < 0.001), and e-learning environment (β = 0.469, p < 0.001). Additionally, self-learning efficacy (β = 0.081, p < 0.0001), learning strategies (β = 0.031, p < 0.001), and learning motivation (β = 0.039, p < 0.001) were found to have mediating effects. Understanding the satisfaction of college students with the effect of e-learning holds great significance in coping with teaching methods in unexpected situations. It enables adjustments to teaching strategies, improvements to learning platforms, and mobilization of students' motivation. Thus, it serves as a valuable reference in addressing unexpected teaching scenarios.

The Impact of College Students’ Emotional Intelligence and Achievement Motivation on Test Anxiety: A Case of 3 Colleges at Chongqing

Test anxiety is a special psychological reaction characterized by worry and tension under the excitation of test situations. In the environment of China's test-oriented education, there is a common phenomenon of test anxiety among students. Test anxiety is particularly acute in the context of the current coronavirus pandemic. It not only affects students' learning, but also has an important impact on their mental health, so the problem of test anxiety cannot be ignored. This study starts from the factors that affect test anxiety, explores the relationship between emotional intelligence, achievement motivation, and test anxiety of college students under the current background of the new coronavirus epidemic, and on this basis, discusses the influence of emotional intelligence and achievement motivation on test anxiety. In this study, the Emotional Intelligence Scale (EIS), Test Anxiety Scale (TAS) and Achievement Motivation Scale (AMS) were used to survey college students in 3 Chongqing universities through questionnaires, and descriptive statistics, variance analysis, correlation analysis, regression Analysis and other methods were used to explore the relationship and influence of college students' emotional intelligence and achievement motivation on test anxiety, and to analyze the influence mechanism of college students' emotional intelligence and achievement motivation on test anxiety.

The Cultural Values Domino Effect: How the Ball Rolls in Influencing University Students' Intentions to Take the Accounting Path

Students' cultural values can significantly impact their decision to enroll in accounting courses. Some students could be discouraged from studying accounting because of a poor view of the field stemming from cultural expectations. A lack of solid cultural values (Aesthetic, social, symbolic, spiritual, and educational) can negatively affect students aspiring to become accountants. In this context, our study sets out to ascertain how cultural values affect college students' decisions to pursue careers in accounting. With this aim, employing a quantitative technique and a survey questionnaire was appropriate to gather data from Omani undergraduate students. SEM-PLS, version 4.0 software, was used to analyze data. The outcome of our research was mainly the confirmation that cultural values—both symbolic and aesthetic—significantly impact students' decisions to pursue a career in accounting. However, there was no discernible influence of other cultural values (such as social, spiritual, and educational) on the decision to pursue a career in accounting. An accounting career ought to uphold Islamic ideals and beliefs. The capacity to exhibit Islamic beliefs and practices, which students believe is crucial while choosing a career in accounting. The research conclusions of this can help managers in the accounting industry make informed hiring decisions. They can adapt their recruitment efforts to attract talented people by comprehending the variables that affect students' decisions to pursue careers in accounting.

A Study on the Influence of College Students' Experience in Science and Innovation Competition on Entrepreneurial Intention

As an important way to select innovative talents and excavate entrepreneurial projects, the issue of “How to combine science and technology innovation competition to improve the entrepreneurial will of college students” has been put before the scholars. Based on this, the following conclusions are drawn by mathematical analysis: (1) the effect of the present science and innovation competition on the improvement of college students; (2) there is obvious gender tendency among the participants in the science and innovation competition; (3) There are significant differences in the participation of the science and innovation competition at different stages; (4)The promotion of the overall entrepreneurial literacy helps to stimulate the entrepreneurial will of college students. In addition, based on this discussion, it puts forward the corresponding suggestions.

What drives the adoption of mobile learning services among college students: An application of SEM-neural network modeling

This research aimed at examining factors influencing college students to adopt mobile learning (m-learning) services. An integrated model combined the information systems success (ISS) and Unified Theory of Acceptance and Use of Technology (UTAUT2), was developed to identify m-learning determinants. A sample of 552 was recruited to test hypotheses using structural equation modeling (SEM). The significant factors explained 70 % of the variance toward Behavioral Intention (BI) based on SEM results. While price value (PV), effort expectancy (EE), performance expectancy (PE), and privacy (PR) were not significant predictors of BI, the results of the neural network model ranked the predictive power of the factors in the following order: information quality, habit (HB), system quality (SYQ), hedonic motivation (HM), facilitating condition (FC), and social influence (SI), positively influenced m-learning adoption. The findings of this study helps the policy makers at higher educational institutions to formulate strategies to enhance students’ learning experience in upcoming crises and place a focus on sustainable mobile learning environment.

대학생의 스마트폰 사용 보상 경험이 스마트폰 중독 경향성에 미치는 영향

Objectives The purpose of this study was to verify the mediating effect of self-regulation and the moderating effect of interpersonal orientation in the influence of college students' reinforcement experience on smartphone addiction tendency. Methods To study this, a moderated mediating effect analysis was conducted on 437 people aged 19 to 25 to measure the moderated mediating effect role of self-regulation and interpersonal ability between the effect of reinforcement experience of smartphone usage on smartphone addiction tendency. Descriptive statistics, reliability analysis, and correlation analysis were performed using SPSS 25, and SPSS Process Macro (MODEL 14) verified the moderated mediation role of self-regulationl and interpersonal ability between reinforcement experience of smartphone usage on smartphone and addiction tendency. Results The research results on this are as follows. First, the relationship between reinforcement experience of smartphone usage on smartphone and addiction tendency was significant. Second, the mediating effect of self-regulation was significant in the relationship between reinforcement experience and addiction tendency. Third, the moderated mediating effect in the relationship between self-regulation and smartphone addiction tendency was significant. Conclusions Based on this study, it was confirmed that self-regulation and interpersonal ability affects smartphone addiction tendency, suggesting that treatment plans should be established from various perspectives.