College Student Learning Research Articles

Academic Early Warning Model for Students Based on Big Data Analysis

How to identify in advance and help college students with academic difficulties is an important topic for current education departments and universities. Academic early warning system based on big data analysis comprehensively analyzes the learning, life and psychological data of college students, effectively identifies potential academic problems, and helps teachers and student managers take measures in advance to improve the education quality. The existing academic warning models of college students based on big data analysis often have defects, such as data quality issues, lack of key variables, nonlinear problems, and human factors. Therefore, this paper aimed to study the academic early warning model of college students based on big data analysis. After elaborating on the key points of collecting the academic early warning model data based on big data analysis, this paper explained the reasons of calculating the Pearson correlation coefficient of collected big data. This paper constructed an academic early warning model of college students based on deep self-coding network, provided the construction process, and explained its working principle. After optimizing the model parameters, this paper analyzed the model reconstruction error based on sliding window statistical method, and further improved the prediction ability and generalization performance of evaluating the deep self-coding network model, thus obtaining higher academic early warning accuracy. The experimental results verified that the constructed model was effective.

The Influence of Negative Transfer of Mother Tongue on College Students’ English Writing and its Countermeasures

The phenomenon of negative transfer of mother tongue is common in English learning of college students in China, which involves listening, speaking, reading, writing and so on. This phenomena of negative transfer in writing are typical, including lexical level, grammatical structure level and text level. There are many reasons for the negative transfer of mother tongue, including subjective factors of students themselves and teachers, as well as some objective factors. The negative transfer of mother tongue is the main problem that should be overcome in the process of language learning. If it can not be solved effectively, college students will have many grammatical errors in the process of English writing, and the content and structure of the article will be chaotic and lack logic. It seriously hinders the improvement of their writing ability, thus affecting the overall effect of college students’ English learning. This thesis will review the theory of language transfer and related studies, and on the basis of a brief overview of the theory of mother tongue transfer, it tends to analyze the main factors of mother tongue negative transfer on college students’ English writing and the specific performance of mother tongue negative transfer in college English writing. Besides, targeted strategies will be proposed to solve the phenomenon of mother tongue negative transfer in English writing.

The Impact of Social Relationships on College Student Learning during the Pandemic: Implications for Sociologists

This article uses survey data gathered in fall 2020 and spring 2021 from students at a public, midwestern university to explore the factors affecting self-reports of learning during the pandemic. The consistent finding is that social relationships—support from professors and connections to peers—are critical. The impact of social relationships on learning is statistically significant even when other factors that have received much attention during the pandemic, including self-reports of mental health, technology access, and financial worries, are taken into account. The implications of these findings for our work as sociology teachers during and after the pandemic and for our departmental activities are highlighted.

How Does College Students’ Entrepreneurial Learning Influence Entrepreneurial Intention: Evidence from China

In implementing an innovation-driven development strategy, it is important to promote the sustainable development capacity of the new generation. Entrepreneurial learning can enhance college students’ skills and entrepreneurial competence in facing the uncertain challenges of the future. In order to clarify the mechanism by which entrepreneurial learning influences college students’ entrepreneurial intention, a mediating moderation model was constructed, based on the theory of planned behavior, to explore the mediating role of entrepreneurial attitude, entrepreneurial self-efficacy, and perceived behavioral control. Furthermore, the moderating effect of important peers and teachers’ support on campus was combined, initially to assess the entrepreneurial intention of college students. This study adopted a quantitative research approach with a questionnaire survey, taking 704 college students in the Yangtze River Delta region as subjects. The research results showed that entrepreneurial learning has a significant positive predictive effect on the entrepreneurial intention of college students; entrepreneurial attitude and perceived behavioral control play a mediating role between the entrepreneurial learning and entrepreneurial intention of college students; and important peers and teachers’ support on campus can adjust the impact of entrepreneurial learning on entrepreneurial intention. The proposed framework provides a more concrete understanding of entrepreneurial intention. The results also provide policy and managerial insights into promoting entrepreneurial intention within higher education.

An Investigation of Group Dynamics in Mixed Mode Classes among Undergraduates

Group work is highly important in higher education during assessment and evaluation. The stages of the learning activity are the same whether it is conducted face-to face or online. Students can develop new skills for continuous learning by working in groups. Students will be more accountable for acquiring knowledge in this way. Different strategies based on students' learning styles preferences can become effective instructional tools for improving critical thinking, communication, and implementation skills. The purpose of this research is to explore the implementation of a group dynamic approach in a small group. The research was determined using a qualitative survey. The model reflects the stages of forming, storming, norming, and performing on the group dynamics of 236 respondents of undergraduate students studying from three different faculties at University Teknologi Mara in Malaysia. The findings of this study show that these elements can be used to create a group dynamic that is suitable for small-group learning for university students. Since there has been a few study into group dynamics at the undergraduate level, it was beneficial to explore this concept in other categories of education such as master's and doctoral programmes and educators.

Research on practical teaching of Ideological and political education based on VR technology in the information age

Abstract With the popularity and maturity of VR technology, maximizing the utility advantages of relevant technologies and teaching projects has become a new topic. Because of the current era of science and technology’s best ideas, relevant methods of Ideological and political education learning have become richer in form and connotation. In order to make relevant methods better, true adoption experimental teaching of Ideological and political education here explores the true adoption of relevant methods in Ideological and political education college students’ learning. Through questionnaire survey to study the effect of relevant methods used by college students’ learning Ideological and political education and fuzzy analysis judging method to argue the teaching effect of integrating VR in Ideological and political education classroom, using comparative analysis method to compare and reference the traditional means of communication of Ideological and political education college students’ learning VR (virtual reality) The advantages of VR over traditional means of communication are summarized. Finally, the reasonableness and Probability of possible realization of relevant methods of college Ideological and political education are demonstrated by considering the needs and feasibility of the presented audience. The results show that most students’ applicability of the confirmation method and optimistic ideas and expressions for future development prospect of applying VR, a real simulated scenes relevant methods, to the practical college students’ learning for patriotic learning at the ideological level of college students learning. During the implementation of learning activities, about 89% of the students think that it can increase immersion, 80% think that it can be interactive, and most think that VR can make learning emotions high, highly concentrate on learning, and improve learning efficiency. Therefore, adopting relevant methods improves children’s enthusiasm for Ideological and political Education and transforms passive education into active participation.

Research on Information Literacy of College Students Based on Data Mining

With the rapid development of the Internet and information technology, it has brought convenience to the learning and life of college students, but it has also triggered a series of problems, such as online fraud, online gambling, and addiction to online games, online violence, and online rumors. This article uses data mining techniques and constructs data mining models to deeply explore the internet behavior of college students, timely discover abnormal internet behavior of students, analyze the reasons, and propose measures for cultivating information literacy of college students, providing reference for organizing network management activities and regulating internet behavior of college students.

Research on new ways of ideological and political education in new era universities

Abstract With the advent of the scientific and technological era, the times and the modernization of China, the requirements and goals of the Political perspective applied to undergraduate universities in the Age of Science and Technology are constantly updated, and it is of practical significance to learn from a political perspective college students in the new era of rapid development today. This paper constructs the 4C/ID learning model by finding literature and methods involved and applied in the learning process to realize political learning of college students based on Internet technology and provide some theoretical reference basis for teachers and students of relevant colleges and universities. Taking the study of new ways of political learning of college students as the theoretical basis, through the support of Internet technology, the traditional research ideas discussing the political learning of college students are analyzed, discussions are held around the new ways political level learning, and finally, the 4C/ID learning model of Political learning of college students based on Internet science is constructed. How to improve the political level learning model and open up new related learning pathways is a necessary issue that educators cannot ignore today. The study shows that the 4C/ID learning model of introducing the Internet into the study of college students at the political level technology can develop political level learning to the greatest extent. Based on Internet technology, the curriculum content system political level learning can be deeply explored to promote Xi Jinping’s idea in the new social and technological era of the healthy and vigorous development of socialist culture construction.

Associated Factors for Autonomous Learning in University Students From Northern Peruvian Cities

Associated Factors for Autonomous Learning in University Students From Northern Peruvian Cities

A Systematic Review of the Benefits and Challenges of Technologies for the Learning of University Students With Disabilities

This systematic review explores the benefits and difficulties of using technology for the learning of university students with disabilities in both face-to-face and distance learning. Three databases were searched: ERIC, Scopus and Web of Science. The review included 14 articles that met all the inclusion criteria. All the included articles were qualitative studies involving 240 students and 143 faculty members. The data were analyzed using an inductive system of categories and codes. The results are organized around five themes: characteristics of the studies, technological resources most commonly used in university teaching, benefits of technology for learning, difficulties in using technology, and valuation of virtual teaching environments. The discussion and conclusions highlight the positive aspects of technology in the learning of students with disabilities, and warn of the need to improve faculty training and inclusive policies to ensure an effective and accessible use of technology.

The Influence of Short Videos Pan-Entertainment Tendency on College Students Learning and Critical Thinking Abilities

In the era of big data, the rise of short videos makes content production more convenient, and content consumption becomes a new trend. In the meantime, the great enrichment of short video content also exposes the problem of "pan-entertainment". This paper focuses on college students and discusses the adverse effects caused by pan-entertainment on their learning and thinking abilities. An online questionnaire survey is used to collect data from college students. By analyzing their content preference, viewing habits, and attitudes towards short videos, it is concluded that long-term exposure to short video platforms makes students more susceptible to the adverse effects of pan-entertainment. However, short videos have a negative impact on their learning ability and critical thinking, by distracting their attention and limiting their cognition.

사이버대학 성인학습자의 자기주도적 학습 촉진을 위한 강의교안 가이드라인 개발

Objectives As cyber university grow into a major educational institution for lifelong learning, there is a growing demand in the field for the development of support elements for teaching and learning that considers the context of cyber university classes and the characteristics of learners. Therefore, this study paid attention to the course content among the supporting elements of teaching and learning, and tried to reveal practical ways to promote self-directed learning for cyber university’s adult learner through guidelines.
 Methods The development of specific guidelines was carried out in seven steps. First, a literature analysis was conducted to understand the context of offline universities and other cyber universities, and a research plan was established based on the definition of self-directed learning for cyber university students. Next, the guideline content was organized into stages of analysis, development, and validation. In-depth interviews with A Cyber University staff were conducted to examine the development and utilization of teaching plans and key elements. From the analysis results, three design strategies were established and used as the basis for the guidelines. The guidelines consisted of the introduction and main body of the class, the necessary elements and writing methods for the conclusion, and the expected outcomes of self-directed learning. These guidelines were ultimately validated by the staff and instructors at A Cyber University.
 Results As a result of the study, several findings emerged. First, through in-depth interviews with the staff, it was discovered that the current status of course plan development and the need for provision at A Cyber University were related to the instructors' teaching styles, teaching-learning elements, and the necessity for guideline development strategies for both instructors and learners. Additionally, an analysis of exemplary lecture plans from A Cyber University revealed that the lecture plan design could be composed in various ways, depending on the characteristics and content of each subject, the intentions of the lecturer and instructional designer, and the implementation strategy based on the overall structure of introduction, body, and conclusion. Second, three strategies for designing lecture plans aimed at promoting self-directed learning for cyber university students were derived, which served as the basis for determining the teaching and learning elements and framework for the lecture plan development guidelines. Third, the final guideline were derived focusing on the elements to be included in each area of the introduction, main body, and conclusion of the class, their definitions, writing methods, and expected effects in terms of self-directed learning.
 Conclusions Based on the above research results, suggestions for future research and implications for lifelong educational institutions that mainly utilize cyber universities and online lectures were presented.

Strengthening Character Education Based on Online Learning for University Students Pasca Covid-19

This study aimed to strengthen character education based on online learning for university students pasca covid-19. This study applied the qualitative research. This study was carried out at Universitas Bosowa students and lecturers. Results of study showed that character education is implemented pasca Covid-19 epidemic utilizing a distance learning approach (online), which was internet-based. The incorporation of character education based on online learning has an impact on attributes like religiosity, honesty, tolerance, discipline, hard work, creativity, independence, democracy, curiosity, national spirit, peace-loving, social obligation, and responsibility. Character education based on online learning can have an impact on how children develop their moral beliefs, integrity, critical thinking, independence, participation in other activities, and responsibility. It can be concluded that a distant learning method (online) was used to implement character education under the circumstances of the Covid-19 pandemic. Although there are some technical issues with using this system, and overall it can be used successfully.

Analysis and Suggestions on the Current Situation of Specialized English learning of Vocational College students -- A Case Study of Accounting Students in Sino-foreign Cooperative Education

Sino-foreign cooperation education is a new mode of school-running model, which is characterized by introducing high quality educational resources from abroad to promote the development of higher education. In this paper, accounting majors of higher vocational colleges in Sino-foreign cooperative education are taken as the research object, questionnaires are issued, and the collected data are statistically analyzed to understand the problems existing in students' learning of specialized English. The teaching effect of accounting professional English in higher vocational colleges can be improved by optimizing the teaching staff, changing the teaching methods, strengthening the construction of teaching materials and stimulating the intrinsic learning motivation of students.

Research on the Effect of Online Learning and Influencing Factors of University Students Based on Questionnaire Survey

With the development of modern education technology, college students' learning is not only limited to traditional teaching methods, but online learning is rapidly gaining popularity. This study investigated the online learning of Chinese college students using questionnaires and analyzed the collected data with spss modoler data analysis tool to find out the effect of online learning and its influencing factors of Chinese college students. This study found that teachers' teaching, learning strategies, online teaching platforms, and interactive learning all have some influence on the online learning effect. By improving the quality of teachers' online teaching, adopting appropriate learning strategies, and using online teaching platforms comprehensively, the online learning effect can be effectively improved.

Research Competencies and Autonomous Learning of University Students

The events that occur in education today have managed to make available to the students of the Faculty of Design a range of instruments and tools for the acquisition of new knowledge. However, the difficulty lies in the embedded traditional methodology of some teachers, who do not impart the execution of competencies in the students for their development in an environment that requires professionals capable of building solutions through research. These are induced by self-learning by students who need to carry out design projects aligned with current changes, and the requirements of a market by professionals capable of developing authentic projects that are developed on a scientific basis.

Impact of Gamified Teaching on University Student Learning

Gamification is presented as an innovative strategy to traditional teaching in higher education. In this sense, the aim of this study is to review the scientific literature in order to analyse the implementation of gamification in higher education. The impact of gamified teaching on the learning of university students was identified through the analysis of eighteen articles published in four databases (Web of Science, Scopus, Google Scholar, and Dialnet). It is evident that gamification is a novel topic in higher education, providing numerous benefits in the learning of university students, but it is still a little-explored area, being scarce in its application in some branches of knowledge. It is recommended to continue researching and generating experiences on its application in higher education in order to know its real effects on the teaching–learning process of university students.

Influence of Individual-technology-task-environment Fit on University Student Online Learning Performance: The Mediating Role of Behavioral, Emotional, and Cognitive Engagement.

The present study aimed to examine whether and to what extent university student online learning performance was influenced by individual-technology fit (ITF), task-technology fit (TTF), environment-technology fit (ETF), and whether the influence was mediated by their behavioral, emotional, and cognitive engagement. A theoretical research model was developed by integrating the extended TTF theory and student engagement framework. The validity of the model was assessed using a partial least squares structural equation modeling approach based on data collected from 810 university students. Student learning performance was influenced by TTF (β = 0.25, p < 0.001), behavioral engagement (β = 0.25, p < 0.001), and emotional engagement (β = 0.27, p < 0.001). Behavioral engagement was affected by TTF (β = 0.31, p < 0.001) and ITF (β = 0.41, p < 0.001). TTF, ITF, and ETF were observed as significant antecedents of emotional engagement (β = 0.49, p < 0.001; β = 0.19, p < 0.001; β = 0.12, p = 0.001, respectively) and cognitive engagement (β = 0.28, p < 0.001; β = 0.34, p < 0.001; β = 0.16, p < 0.001, respectively). Behavioral and emotional engagement served as mediators between fit variables and learning performance. We suggest the need for an extension to the TTF theory by introducing ITF and ETF dimensions and demonstrate the important role of these fit variables in facilitating student engagement and learning performance. Online education practitioners should carefully consider the fit between the individual, task, environment, and technology to facilitate student learning outcomes.

The Effect of Academic Adaptability on Learning Burnout Among College Students: The Mediating Effect of Self-Esteem and the Moderating Effect of Self-Efficacy.

With the popularization of higher education, the problems of academic adaptability and learning burnout among college students have become increasingly prominent. The purpose of this study was to investigate the relationship between academic adaptability, learning burnout, self-esteem and self-efficacy of college students and their underlying mechanisms. The study was conducted on 2110 college students using the College Student Learning Adjustment Scale, the Learning Burnout Undergraduates Scale, the Self-Esteem Scale, and the Self-Efficacy Scale to establish a mediating model of adjustment. SPSS 26.0 was used for descriptive statistics and Pearson correlation analysis. Model 4 and Model 14 in the process plug-in prepared by Hayes (2017) were used for mediating effects analysis and moderating mediator analysis respectively, and the significance of the mediating effects was tested using the bias-corrected percentile Bootstrap method. (1) academic adaptability significantly and positively predicted self-esteem; (2) self-esteem significantly and negatively predicted learning burnout; (3) academic adaptability significantly and negatively predicted learning burnout; (4) self-esteem partially mediated the effect of academic adaptability on learning burnout; and (5) self-efficacy moderated the latter half of the mediation process of academic adaptability-self-esteem-learning burnout. These findings are useful for college educators and related researchers to better understand the mechanisms underlying the relationship between academic adaptability and learning burnout, thus providing practical and effective operational suggestions on the prevention and intervention of learning burnout in college students.

Youtube Transcript Summarizer Using Flask

Abstract: Every day, countless videos are being created and shared on YouTube. and Such videos are the primary source of learning for college and school going students, people preparing for competitive exams and many more people use YouTube for productive outcomes. But longer than expected videos can be difficult to watch, and if we don't learn anything useful from them, our efforts might be in vain. Even sometimes while watching video people face lots of obstacles like network issues and all may lead to wastage of time. Automated summarization of video text allows us to quickly spot important trends and efficiently streamline the video's content, thus saving our time and efforts. In this YouTube transcript summarizer web application developed using flask, the transcript of the video is converted into text and thus summarizing that text and in case if there is no transcript available then the model will convert the audio directly into text using speech recognition followed by the summarization. Summary can be downloaded and translate in different language. Summarization of the video is done by using Python libraries and NLP (Natural Language Processing).