Computer Science Students Research Articles

Research on the impact of the socio-educational environment on the academic performance of college students: the mediating role of study motivation.

Enhancing the academic performance (AP) of college students can contribute to the overall scientific literacy among this population, thereby fostering societal progress. The study investigates the correlation between college students' AP and the socio-educational environment (SEE, including family, roommates, and teachers), study motivation (SM, including self-efficacy and study behaviors). Based on the research findings, recommendations are offered to students, educators, and school administrators. Utilizing a stratified sampling approach, data was collected by selecting a sample of 330 first-year computer science students from a specific local university in Hebei Province, China. Data will be collected through a hierarchical sampling method. Using correlation analysis, difference analysis, and structural equation modeling (SEM) as data analysis methods. The data passed reliability and validity analysis (Cronbach's Alpha = 0.88, KMO = 0.88, χ2/df = 1.49RMSEA = 0.04). The independent sample T-test results showed that female students had higher academic performance than male students (p < 0.001), and there was no significant difference in academic performance between students from single parent or orphan families and students from normal families (p = 0.14), from non urban areas and from urban areas (p = 0.67). The results of the mediating effect analysis indicate that SM exerts complete mediation in the association between SEE and AP, with a mediating effect value of 0.18. The educational disparity between urban and rural areas in China is gradually narrowing. Support policies for students from impoverished families in higher education institutions are showing initial effectiveness. The conducive learning environment and educational atmosphere for students can indirectly influence their psychological state, thus impacting their academic performance during their university years.

Transfer Student Receptivity in Patriarchal STEM Contexts: Evidence of Gendered Transfer Student Stigma in Computer Science From a Mixed Methods Study

Research Questions: While community college transfer (i.e., upward transfer) represents an important mechanism for advancing equity across STEM fields, existing studies of gender and women’s participation within computer science have largely excluded the perspectives of upward transfer students. We address this gap in the literature by exploring transfer receptivity and gender discrimination within computer science, guided by the following questions: (1) How do upward transfer computer science students report their receptivity experiences, and how might this differ by gender? (2) How do upward transfer computer science students make meaning of receptivity experiences, and how might that meaning making be shaped by gender? Methods: We use a sequential mixed methods design, relying on longitudinal survey and interview data from upward transfer computer science majors, collected throughout students’ first year at the receiving university. Results: Findings reveal that, relative to men, upward transfer women report greater experiences of transfer stigma and challenges accessing resources at the receiving university. Qualitative findings document additional nuances in how upward transfer students—especially women—describe resilience as they navigate the university campus, encounter navigation challenges at the university, and make meaning of various manifestations of transfer stigma on campus. Contributions: In addition to implications for research and theory, we discuss what universities can do to foster a more receptive environment for upward transfer women. Specific recommendations focus on ensuring that spaces for women in computing are inclusive of transfer students and, likewise, creating supportive transfer cohort communities that are inclusive of women.

The Impact of Non-Formal Educational Approach on the Academic Performance and Employability of Engineering and Computer Science Students

Education is no longer a one-time event due to the quick changes in the modern world, the diversity of knowledge it contains, and the ongoing need for personal growth. It turns into a dynamic process that happens all through life. The old curricula and systems of formal education are finding it difficult to keep up with the quick changes occurring in the field of computer science. Non-formal education is a solution to the requirements of the era and can be implemented through seminars, training camps and workshops. It could be additional activities like competitions or extracurricular learning. The aim for this study is to investigate the impact of the non-formal educational approaches on engineering and computer science students’ academic performance as well as their chances to obtain a job after graduation.

Enhancing Financial Literacy in Higher Education: Leveraging Mobile Data Visualization Techniques for Computer Science Student

University students frequently encounter difficulties in successfully managing their funds, leading to financial stress, debt, and poor financial decisions. This project employs data visualisation techniques to educate university students on effective financial management, addressing common challenges such as financial stress and poor decision-making resulting from limited resources and the absence of personalised planning tools. The application simplifies intricate financial data through intuitive visualisations, enabling students to make well-informed choices. The project adheres to the Waterfall Model, progressing through distinct phases of planning, design, development, testing, and deployment. The importance of this rests in promoting healthy financial behaviours, alleviating anxiety, and enhancing students’ abilities in managing their finances. The research aims to enhance students’ understanding of financial planning by leveraging visualisation techniques. The apps were validated via usability testing and quantitatively analysed a sample of 30 Computer Science students at UiTM Tapah. Respondents confirm that the application is capable of assisting them in comprehending and managing their financial circumstances. However, the application is currently only available to university students and is dependent on Android and internet connectivity. Possible future improvements could include integrating artificial intelligence for expense prediction and expanding to iOS for improved accessibility, with the goal of reaching a wider range of user demographics.

Improving Attitude toward Engagement in a Biology Course of Mathematics and Computer Science Students through the Active Learning Integration Approach: A Case Study in a Thai Science High School

Improving Attitude toward Engagement in a Biology Course of Mathematics and Computer Science Students through the Active Learning Integration Approach: A Case Study in a Thai Science High School

FORMATION OF STUDENTS’ SKILLS IN ANALYZING INFORMATION GRAPHS THROUGH CONSTRUCTIVE FEEDBACK

The research topic examines the performance of 12th grade students from the Nazarbayev Intel-lectual School in Semey in passing external summative exams, comparable to international AS/A-Level standards. The summative assessment system was developed in collaboration with the Cambridge As-sessment International Education Council and aims to measure the functionality of acquired knowledge and skills through a variety of tasks performed by students. The study also explores the international program for assessing educational achievements, such as PISA, among students in general education schools and Nazarbayev Intellectual Schools, focusing on mathematical and functional literacy. It was found that international exams like PISA and AS/A-Level often include visual organizers that require high-order thinking skills according to Bloom’s taxonomy. Currently, tasks corresponding to this type of international exam are being introduced in schools and universities in Kazakhstan. Therefore, innovative teachers should possess pedagogical and psychological methods and strategies. One of them is the CLIL strategy, which involves using are often accompanied by information graphics as visual organizers and constructive feedback to help students understand and solve tasks in international exams. This research not only examined various visual organizers in summative assessment but also provided constructive feedback to 11th and 12th grade students in biology and computer science. The article also carefully analyzed the analytical reports of international exams.

Integrated Project Development through Combined Theory and Practices of Core Courses focusing on Software Development Skills: Integrated Learning Framework

The National Education Policy promotes moving from the conventional content-heavy and memorization learning practice towards holistic learning/integrated learning. It imparts a creative and multidisciplinary curriculum that focuses equally on curriculum and assessment. All educational establishments assess students using written examinations, quizzes, seminars, term paper writing, and course projects. A semester typically includes 4-5 courses, and students must earn credits for these courses by scoring a good Cumulative Grade Point Average (CGPA). As course projects offer depth knowledge/holistic learning/lifelong learning of a course for the student, many courses include course projects as one of the activities in the course. If all the courses are intended to include course projects as a mandatory pedagogy, it will be difficult for students to acquire in-depth knowledge and required skills while also dealing with stress. So we are proposing an integrated learning framework by applying the theory and practices of two core courses- Software Engineering and Web Technologies to develop a web application. This integrated learning focuses on developing software development and software testing skills in computer science for undergraduate students pursuing a bachelor of engineering degree. This framework alleviated the pressure on students during placement and created job opportunities in software development. The framework consists of three important phases- The first phase includes the identification of the problem as a need for customers, writing requirements and analyzing the same. Students apply modular design principles and break down the codebase into distinct modules. This technique enhances code organization, reusability, and maintainability. The second phase focused on developing the front end by harnessing the power of Angular, a leading web framework, to craft a sleek and interactive user interface. The backend is built using Node.js, which serves as the foundation, enabling the software system to cater to highperformance server environments. These modules communicated seamlessly through well-defined APIs, facilitating the integration of various components within the application, ultimately delivering a seamless and responsive user experience. An industry expert conducted a workshop on Angularsoftware testing workshop was conducted for students by industry experts to expose the students to designing test cases, test plans, and testing strategies. The hands-on experience on testing tools was provided during the workshop. Faculty reviews are conducted on each phase, and rubrics-based assessment is done on each phase. Approximately sixty teams created web-based applications for real-world scenarios. Positive aspects of the framework in feedback indicated that more than 87% of the students agreed that they could apply Software engineering principles and practices such as requirements management. modular design and testing in web applications. Also, more than 85% of students acquire skills from code-to-web design mastery by developing web applications in Angular Node.js and backend implementation. This framework helped to improve teamwork, presentation and communication skills. Confidence in software development improved to a greater extent. The design and implementation of the framework met the stated outcome of the courses. The student's academic performance improved by 10% compared to the previous year when students were not involved in the integrated project development. Keywords— Framework, learning, practices, project, skills, technology, testing, web

University students' preferences of learning modes post COVID-19-associated lockdowns: In-person, online, and blended.

Online teaching accelerated during COVID-19-associated lockdowns. At that time, it was assumed that university students wanted to revert to in-person sessions at the earliest opportunity. However, when in-person sessions were re-introduced, student attendance was not as high as expected. Therefore, we examined students' preferences of learning modes. Students (n = 968) from different UK universities, degree cohorts, study levels and biological sexes were given four learning-mode options: Face-to-face sessions for lectures and tutorials (in-person), Live online sessions for lectures and tutorials (Online-synchronous), Pre-recorded lectures and live online tutorials (Online-mixed-asynchronous-synchronous), and Pre-recorded lectures and face-to-face tutorials (Blended: in-person and online-asynchronous). Students ranked these options as per their preference via an online anonymous survey. Data were analysed using IBM SPSS Statistics 28. Results showed that the most frequently selected 1st and last choices were In-person and Online-synchronous modes, respectively. For the majority, above choices were the same across study levels and biological sex, but across degree cohorts, the 1st choice was either In-person or Blended. Proportion of students selecting In-person mode as their 1st choice (52.2%) was almost equal to the combined proportions of those selecting other learning modes as 1st choices (47.5%). Amongst degree cohorts, In-person mode was least preferred by Language Education students and most preferred by Bioscience and Sports & Exercise Science students. The latter cohort also preferred Online-synchronous mode more than other degree cohorts. Blended mode was preferred more by Language Education, Computer Science and Psychology students but preferred less by Sports & Exercise Science and Pharmacy students, compared to other degree cohorts. Ordinal regression revealed that Sports & Exercise Science students preferred Online-mixed-asynchronous-synchronous mode less than Language Education students. Undergraduates preferred In-person mode more and Online-mixed- asynchronous-synchronous mode less than postgraduates. Preference differences between biological sexes were insignificant. Thus, we identified students' preferences of learning modes and propose that not biological sex, but discipline and study level can predict/influence preferences.

Innovation of Innovation and Entrepreneurship Teaching Content and Methods under the Internet+ Education Mode

Abstract This paper proposes a way to innovate the teaching content and methods centered on building an online teaching system and information management system for innovation and entrepreneurship. In the J2EE-based innovation and entrepreneurship online teaching system, the genetic algorithm is used to improve the Pick-KX algorithm, and the resource allocation scheme is optimized and processed by the genetic algorithm, which effectively improves the efficiency of the Pick-KX algorithm on heterogeneous servers. In the innovation and entrepreneurship information management system, the TF-IDF algorithm and Word2vec are used to convert the text into document vectors, and K-Means clustering is used to realize document clustering, while the HyperLogLog algorithm is used to carry out the system website data statistics. The 2022 computer science and technology students of a teacher training school in Chongqing, China, were used as research subjects to carry out innovative and entrepreneurial teaching practices. The student’s performance on all dimensions of innovation and entrepreneurship practice ability was above 3.5, which was a good performance. In the evaluation of the online teaching system and information management system for innovation and entrepreneurship, the evaluation scores for each dimension are higher than 3.5, which meets the needs of students. After the practice, the average scores of satisfaction with the innovation and entrepreneurship practice course and their development were 9.2 and 9.02, which were improved by 0.42 and 0.68 compared to the pre-practice.

Mern(Mongodb , Express-Js, React-Js, Node-Js) Stack Web-Based Themefied Education Platform For Placement Preparation

This paper examines how webapps can be developed and implemented in a themefied way for education. The MERN stack, which means MongoDB, Express.js, React.js and Node.js is the technology employed to build these modern dynamic web applications through the paper. Themefication has potential to motivate as well as engage students within a learning environment when non-themed situations are incorporated into thematic aspects. Traditional teaching approaches fail to fully captivate learners’ attention, leading to reduced motivation in educational settings as a whole. In particular, computer science and IT students often have this feeling. The problem this research review poses is whether themefication can help address these issues in education background, especially in a college setting. The paper is developed on the basis of creating a platform that will offer an interactive and engaging learning environment around various technologies focusing mainly on placement preparation through different methods. This paper has been informed by data insights from google surveys and other datasets available on previous studies, as well as an extensive literature review of works already existing on the topic. This study aims at finding out if this platform can aid students to improve their attention level while studying thus also have focus using thematic approach which maybe more familiar to them hence encouraging them to keep going. Moreover, it provides valuable details about the technical aspects of the platform i.e., its features, design ideas and underlying technology implemented during this educational development. This survey examines new approaches to creative educational technology and practices for placement readiness based on an examination of survey data, drawing upon prior research insights, and analysis of the codebase behind such system

Students Unlock the Power of Real Systems: An Experiential Learning in System Software Course

System Software is a fundamental core course for undergraduate students of Computer Science and Engineering. The traditional approach to teaching the System Software course within the School of Computer Science and Engineering lacked a meaningful connection to real-world machine architectures, leading to disinterest and reduced engagement among undergraduate students. This paper introduces an innovative teaching method designed to empower students to grasp the system programs of real systems effectively. Our approach involves effortlessly integrating the delivery of system software content with the Atmel AVR ATmega32 real-time machine, which students have previously encountered in a prior semester. Moreover, this paper provides a detailed examination of the use of a hypothetical machine in traditional teaching methodologies. While this method allowed for a more in-depth exploration of system software concepts, it struggled to establish a practical link to real machine. The novel teaching approach employed in this study adopts a unique method that links all the system software concepts with the practical system program of a real-time machine. This paper also explains how the advances in Technology has played a crucial role in considering real-time machines as examples. And it also discusses the limitations of teaching concepts using only hypothetical machine and concise overview of the chosen real-time machine is provided, followed by the observation of enhanced knowledge of system software concepts through its integration. To measure the effectiveness of the proposed methodology, we also gathered valuable feedback from the students. The course result analysis shows substantial improvement in understanding the concepts, performance and lifelong learning of the students. Keywords—System Software, Atmel AVR ATmega32, Hypothetical machine. Design thinking, Problem solving

Navigating the Pitfalls: Analyzing the Behavior of LLMs as a Coding Assistant for Computer Science Students—A Systematic Review of the Literature

Navigating the Pitfalls: Analyzing the Behavior of LLMs as a Coding Assistant for Computer Science Students—A Systematic Review of the Literature

Design and optimization of the Teaching evaluation system based on artificial intelligence

Abstract In today’s highly developed information society, the construction work of educational informatization has become the focus of the future development of major universities. This paper combines artificial neural networks and UML software modeling technologies to design a teaching evaluation system using artificial neural network technology. The system requirements are analyzed from three aspects: system feasibility, functional requirements, and neural network evaluation function. The proposed system performance requirements are based on these three aspects. The neural network approximation problem can be solved using the gradient descent method based on the BP neural network model. After a series of operations, such as data preprocessing, the Design of the teaching evaluation system is completed, realizing the joint role of teaching and neural network evaluation module, and at the same time, proposing a system optimization decision for the teaching quality aspect. The teaching evaluation system designed in this study passed the test as the average response time of the whole system was 94.366 seconds when the number of users was 100, and there was no phenomenon such as transaction unresponsiveness. After the use of the teaching system, the feedback from the students’ use shows that the number of computer science students who mastered more than 80% of the system concepts is 42, and the rest of the knowledge is concentrated in the number of people who mastered 40% to 80%.

Understanding the experience of computing students in remote internships

Due to the COVID-19 pandemic, it was necessary to implement remote teaching at universities and work from home (WFH) to maintain social distancing. Given these circumstances, many students had their first professional experience working remotely at companies. The objective of this paper is to analyze the impacts caused by this change on how novice professionals entered the labor market and to understand the advantages and disadvantages involved in the WFH setting. In addition, we investigate possible points to improve the remote work experience of intern students and novice professionals. This study conducted a survey to understand the point of view of computer science students from Brazilian higher education institutions, who are interns or work remotely in local and international companies. The survey was answered by 117 individuals. From the results of the survey, we observed that the experience of students in remote work is generally positive. Respondents have frequent and clear communication with their teammates, have access to resources and tools needed to work remotely, and have positive feelings when carrying out their activities in this work format. In addition, the advantages and disadvantages of the home office were also defined from the perspective of students. Finally, based on the participants’ opinions, we present recommendations that may optimize the experience of novice professionals in remote work.

Exploration of Innovative Development and Talent Digital Cultivation Path of Computer Specialties in Colleges and Universities

Abstract In the face of globalization and the rapid evolution of information technology, higher education, particularly in computer science, encounters both challenges and opportunities. This paper investigates strategies for fostering innovation and digital competency among university computer science students. Through an analysis of teaching methodologies across various institutions, student development, and industry collaborations, we propose a comprehensive educational framework. We evaluate and refine our student innovation ability assessment system by employing both quantitative and qualitative approaches, including the entropy weight method and gray correlation analysis. By updating curriculum content, prioritizing hands-on learning, and enhancing industry partnerships, we demonstrate a marked improvement in students’ programming and practical skills—showing 20% and 25% increases, respectively. Our findings advocate for a holistic revamp of teaching approaches, course material, and university-enterprise collaborations, aligning computer science education with the demands of the digital age.

From Syntax to Solutions: Evaluating the Efficacy of a Real-Time Programming Platform

Real-time programming platforms offer a novel approach to computer science education by providing interactive, dynamic learning environments. This study investigates the pedagogical value of Replit, a popular cloud-based coding platform, focusing on its effectiveness in engaging Diploma in Computer Science students at Universiti Teknologi MARA Sarawak Branch. Through thematic analysis of open-ended survey responses, we explore student perceptions of Replit's usability, interactivity, and overall performance. The findings demonstrate student satisfaction with Replit's features, highlighting its potential as a valuable tool for enriching and optimizing the way we teach programming.

History of the development and current state of the 3D modelling

The article provides a detailed examination of the history and current state of the 3D modelling as a key field in the information and technology domain. Firstly, a brief historical overview is presented, tracing the evolution of the 3D modelling from its inception to the modern achievements. It is also noted how initial attempts at creating the 3D models were constrained by limited computing resources but eventually evolved into creating complex virtual objects, thanks to the growth of computer power and software development. The work additionally conducts a detailed analysis and categorization of the developmental periods in the 3D modelling. The key phases, such as early research and practical applications in the fields like animation and architecture, are explored. A chronological scheme of the history of the 3D modelling is developed, encompassing stages from the emergence of computer graphics in the 1960s to its contemporary applications across various domains, including design, economics, medicine, and engineering. The understanding how these stages interact and influence each other, forming the foundation for the current state of the 3D modelling, is essential. The article also places significant emphasis on contemporary trends in the 3D technology, such as the use of artificial intelligence, virtual and augmented reality. Overall, it traces the paradigm shift in the 3D modelling from its inception to the present and highlights the potential of this field for future technological advancements and creativity. The knowledge of the developmental stages of the 3D modelling is valuable for computer science educators, curriculum developers, students, and leaders of the 3D modelling clubs to comprehend the content and characteristics of the current state of the 3D modelling.

Computer Knowledge Improvement Training Students Dropping Out of School in Buluh Apo Village

Buluh Apo village is a village that is located far out of town Duri, however, the Head of Buluh Apo Village has a vision to develop his village through the implementation of computer technology science, so that this village also has the nickname Net Village, because it has an internet network developed with the community. The purpose of this service is a collaborative program between the Apo Buluh village apparatus and the AMIK Mitra Gama campus to improve the quality of computer science in the current pandemic (COVID-19) conditions which require students to study more online (online) and for students dropping out of school. can Buluh Apo Village is a village located far on the outskirts of Duri city, however, the Head of Buluh Apo Village has a vision to develop his village through the implementation of computer technology knowledge. The purpose of this service is a collaborative program between Buluh Apo village officials and the Mitra Gama Institute of Technology campus to improve the quality of computer science for dropout students to be able to take advantage of this training to provide skills in the computer field so that they can become entrepreneurs in the field of informatics so that they can still participate in advance Buluh Apo village. The training participants totalled 30 dropout students with the achievement of target material including an introduction to computers and Microsoft Office. In this computer introduction training the results of student participation were achieved with an attendance of85%, an increase in student knowledge reaching 75%, students' skills in using Ms Office reached 78%, the ability to use the internet increased by 87%, and the understanding of entrepreneurs in the field of informatics by 84%, and the development of hardware and multimedia reached 77%

Methodical system of equalizing training of computer science students in the preparation of technical specialists in the areas of 09.03.01 «Computer Science and computer engineering» and 09.03.04 «Software engineering»

The article presents a methodological system of equalizing training of computer science students in the preparation of technical specialists in the areas of 09.03.01 ‟Computer Science and Computer Engineering” and 09.03.04 ‟Software engineering”, built on the basis of a step-by-step model of the methodology of leveling students' knowledge, skills and abilities in the use of information technology due to their different training at the previous stage and including adaptation, leveling and control stages. The analysis of the concept of a methodological system from different positions is carried out. The proposed methodological system of equalizing training of computer science students in the preparation of future IT specialists is determined by the goals, content, forms, methods and means of training. The authors substantiate that the target component is system-forming and determines the functions of the other components of the system, it must be considered as a system of goals at three levels: integrative goal, milestone goal, operational goal. It is shown that the content component of the methodological system of leveling training is aimed at the formation of theoretical and practical knowledge in the discipline, theoretical sections for studying, practical tasks for performing at a laboratory workshop and control work tasks for testing students' knowledge and skills are defined. Examples of control work tasks are given. The procedural component of the methodological system of leveling training is described, including methods, forms and means that contribute to achieving the goals of the methodological system.

Forward Chaining Algorithm on Informatics Graduate Job Recommendation System Based on MBTI Test

The Myers-Briggs Type Indicator (MBTI) is a method for identifying an individual's personality type based on the psychological theory of Carl Gustav Jung. In the context of computer science students, they often face challenges in planning their academic journey and determining the direction of their career development during their studies, causing confusion when it comes to choosing a career path in the field of computer science in the future. To address these challenges, the researcher has developed a web-based expert system using the PHP programming language. This expert system is designed to make decisions based on a collection of user responses, which are processed using the forward chaining method, ultimately providing the user's personality type along with suitable career choices. The primary objective of the expert system is to assist students in making decisions regarding their studies and future careers. Through this research, the researcher has produced a functioning website capable of efficiently processing user responses and generating decisions regarding personality types and career options. Thus, this study provides a solution to aid computer science students in planning their academic and career paths.