Computer Science › Information Systems

Educational Technology and Assessment

Works Count: 65787

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Description

This cluster of papers explores the application of fuzzy logic, data mining, genetic algorithms, and concept mapping in educational assessment, including student performance evaluation, intelligent tutoring systems, adaptive learning, and diagnosis and remedial learning. The use of fuzzy logic for evaluating students' answerscripts and learning achievement is a prominent focus, along with the development of automatic examination paper generation systems and web-based testing approaches.

Keywords

Fuzzy Logic; Educational Assessment; Intelligent Tutoring Systems; Adaptive Learning; Concept Mapping; Student Performance Evaluation; Diagnosis and Remedial Learning; Data Mining; Genetic Algorithms; Web-Based Testing

Computer Solution of Large Sparse Positive Definite

1981-02-01

Alan D. George , Joseph W. Liu

Automated Essay Scoring

2003-01-30

Mark D. Shermis , Jill Burstein

This new volume is the first to focus entirely on automated essay scoring and evaluation. It is intended to provide a comprehensive overview of the evolution and state-of-the-art of automated … This new volume is the first to focus entirely on automated essay scoring and evaluation. It is intended to provide a comprehensive overview of the evolution and state-of-the-art of automated essay scoring and evaluation technology across several disciplines, including education, testing and measurement, cognitive science, computer science, and computational linguistics. The development of this technology has led to many questions and concerns. Automated Essay Scoring attempts to address some of these questions including: *How can automated scoring and evaluation supplement classroom instruction? *How does the technology actually work? *Can it improve students' writing? *How reliable is the technology? *How can these computing methods be used to develop evaluation tools? *What are the state-of the-art essay evaluation technologies and automated scoring systems? Divided into four parts, the first part reviews the teaching of writing and how computers can contribute to it. Part II analyzes actual automated essay scorers including e-raterTM, Intellimetric, and the Intelligent Essay Assessor. The third part analyzes related psychometric issues, and the final part reviews innovations in the field. This book is ideal for researchers and advanced students interested in automated essay scoring from the fields of testing and measurement, education, cognitive science, language, and computational linguistics.

AN ITEM ANALYSIS WHICH TAKES INDIVIDUAL DIFFERENCES INTO ACCOUNT

1966-05-01

Gernot Rasch

An approach to item analysis is described by means of which the difficulty of an item and the ability of an individual may sometimes be assessed without reference to the … An approach to item analysis is described by means of which the difficulty of an item and the ability of an individual may sometimes be assessed without reference to the norms provided by some population. The model employed in the analysis could also be used to study any situation in which a number of subjects perform a series of tasks having the same two alternative responses. Some particular uses of the model are discussed briefly.

Motivated Strategies for Learning Questionnaire

1990-01-01

Paul R. Pintrich , Elisabeth Vialpando De Groot

The selection of upper and lower groups for the validation of test items.

1939-01-01

Truman L. Kelley

It is not intended here to discuss the general problem of item validation, but only that aspect of it thai arises when an upper and lower group are selected to … It is not intended here to discuss the general problem of item validation, but only that aspect of it thai arises when an upper and lower group are selected to serve as standard groups in the differentiation of test items. It is argued that the more indubitably it is known that the upper group is superior to the lower group, the more definitely can it be concluded that an item is valid by finding that the upper group is more successful in passing it than the lower group. If, in two situations, one in which the upper and lower groups are differentiated with high certainty and the other with little certainty, the proportion of passes (i.e., right answers) in the upper groups are equal and equally superior to the proportion of passes in the lower groups, we should believe that the item represented in the first situation is more valid than that of the second situation. Having available an initial group which is normally distributed with reference to a desired criterion, we set the problem of selecting upper and lower portions of this group which will be most efficient in the study of items, and their selection or rejection. The items in question are capable of two grades only, right or wrong. We further limit the issue by not here considering the interrelationship of items, a matter of first importance when the final test to be constructed is to contain more than one item. It is granted that the problem as set is too constricted to be real, but it is, nevertheless, believed that its solution is commonly pertinent to the handling of real item selection problems. The writer has stated that twenty-seven per cent should be selected at each extreme to yield upper and lower groups which are most indubitably different with respect to the trait in question. This article does not alter that conclusion but does provide a more available and somewhat improved derivation. Let us be given graduated scores on a test or trait from a sample of size N. For simplicity we shall consider N to be even, so that we may

Automatic structural testing using genetic algorithms

1996-01-01

B.F. Jones , Harmen-Hinrich Sthamer , D.E. Eyres

Genetic algorithms have been used to generate test sets automatically by searching the domain of the software for suitable values to satisfy a predefined testing criterion. These criteria have been … Genetic algorithms have been used to generate test sets automatically by searching the domain of the software for suitable values to satisfy a predefined testing criterion. These criteria have been set by the requirements for test data set adequacy of structural testing, such as obtaining full branch coverage and controlling the number of iterations of a conditional loop. This technique has been applied successfully to several problems, varying in complexity from a quadratic equation solver to a generic sort module that comprises several procedures. In these cases, full branch coverage was obtained. Genetic algorithms could be applied to approaches other than structural testing, provided that the goal of the testing is clearly defined, and a fitness function which relates to this goal can be devised to give a single numeric value for the fitness. The quality of the test data is enhanced by designing the fitness function to generate data close to a subdomain boundary where the likelihood of revealing an error is higher.

An algorithm andFortran-iv program for large-scaleQ-mode factor analysis and calculation of factor scores

1971-03-01

J. E. Klovan , John Imbrie

Essentials of Educational Measurement

1980-10-01

Alfred D. Garvin , Robert L. Ebel

A practical treatment of the purposes, methods and problems of constructing, using and evaluating educational tests. The book is designed for use on introductory testing and measurement courses at undergraduate … A practical treatment of the purposes, methods and problems of constructing, using and evaluating educational tests. The book is designed for use on introductory testing and measurement courses at undergraduate or graduate level.

Writing English Language Tests

1976-12-01

Edmund V. Burke

Errors in Language Learning and Use: Exploring Error Analysis

1999-01-01

Kathleen M. Broussard , Carl James

General editor's preface Author's preface Abbreviations 1. Definition and Delimitation Human error Successive paradigms Interlanguage and the veto on comparison Learners and native speakers The heyday of Error Analysis Mounting … General editor's preface Author's preface Abbreviations 1. Definition and Delimitation Human error Successive paradigms Interlanguage and the veto on comparison Learners and native speakers The heyday of Error Analysis Mounting criticism of Error Analysis Data collection for Error Analysis 2. The Scope of Error Analysis Good English for the English Good English for the L2 learner The native speaker and the power dimension The Incompleteness hypothesis 3. Defining 'Error' Ignorance Measures of deviance Other Dimensions of Error: Error and Mistake Error: Mistake and Acquisition: Learning - An Equation? Lapsology 4. The Description of Errors Error detection Describing errors Error Classification Error Taxonomies Counting errors Profiling and Error Analysis Computerized Corpora of Errors: ICLE - COALA 5. Levels of Error Medium errors Text errors Lexical errors Classifying Lexical errors Grammar errors Discourse errors 6. Diagnosong Error Description and diagnosis Ignorance and avoidance Mother tongue influence: Interlingual errors Target language causes: Intralingual errors Learning-strategy based errors Communication strategy based errors Induced errors Compound and ambiguous errors 7. Error Gravity and Error Evaluation Evaluation Criteria for error gravity 8. Error Correction What is correction? Whether to correct: pros and cons How to do error correction: some options and principles Noticing error 9. A Case Study Elicitation and registration Error identification Categorizing the errors Status: error or mistake? Diagnosis Bibliography Index

Computer-aided generation of multiple-choice tests

2003-01-01

Ruslan Mitkov , Le An Ha

This paper describes a novel computer-aided procedure for generating multiple-choice tests from electronic instructional documents. In addition to employing various NLP techniques including term extraction and shallow parsing, the program … This paper describes a novel computer-aided procedure for generating multiple-choice tests from electronic instructional documents. In addition to employing various NLP techniques including term extraction and shallow parsing, the program makes use of language resources such as a corpus and WordNet. The system generates test questions and distractors, offering the user the option to post-edit the test items.

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An Overview of Current Research on Automated Essay Grading

2003-01-01

Salvatore Valenti , Francesca Neri , Alessandro Cucchiarelli

An international association advancing the multidisciplinary study of informing systems. Founded in 1998, the Informing Science Institute (ISI) is a global community of academics shaping the future of informing science. An international association advancing the multidisciplinary study of informing systems. Founded in 1998, the Informing Science Institute (ISI) is a global community of academics shaping the future of informing science.

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Bayesian Item Response Modeling

2010-01-01

Jean‐Paul Fox

Questionnaire Construction and Item Writing

1983-01-01

Paul B. Sheatsley

Application of k Means Clustering algorithm for prediction of Students Academic Performance

2010-01-01

Olanrewaju Jelili Oyelade , Olufunke Oladipupo , Ibidun Christiana Obagbuwa

The ability to monitor the progress of students academic performance is a critical issue to the academic community of higher learning. A system for analyzing students results based on cluster … The ability to monitor the progress of students academic performance is a critical issue to the academic community of higher learning. A system for analyzing students results based on cluster analysis and uses standard statistical algorithms to arrange their scores data according to the level of their performance is described. In this paper, we also implemented k mean clustering algorithm for analyzing students result data. The model was combined with the deterministic model to analyze the students results of a private Institution in Nigeria which is a good benchmark to monitor the progression of academic performance of students in higher Institution for the purpose of making an effective decision by the academic planners.

A First Course in Fuzzy Logic.

1997-09-01

J. Douglas Barrett , Hung T. Nguyen , Elbert A. Walker

A First Course in Factor Analysis

1993-11-01

Barbara Price , Andrew L. Comrey , Howard B. Lee

Test Scoring

2001-05-01

A Suggestion for Using Powerful and Informative Tests of Normality

1990-11-01

Ralph B. D’Agostino , Albert J. Belanger

Handbook of Test Development

2011-04-26

The Design and Analysis of Computer Experiments

2003-01-01

Thomas J. Santner , Brian J. Williams , William I. Notz

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A First Course in Factor Analysis.

1994-01-01

Andrew C. Gudgeon , A. L. Comrey , Hwok-Aun Lee

Adaptive and Intelligent Web-based Educational Systems

2003-01-01

Peter Brusilovsky , Christoph Peylo

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The theory underlying concept maps and how to construct and use them

2010-07-01

Alberto J. Cañas , Joseph D. Novak

Computer applications in second language acquisition : foundations for teaching, testing and research

2001-01-01

Carol A. Chapelle

1. Foundations for Computer Applications in Applied Linguistics 2. Fundamental Definitions in 3. Computer-Assisted Language Learning Activities 4. Software Principles for CASLA 5. Assessing Computer-Assisted Language Learning Tasks 6. Computer-Assisted … 1. Foundations for Computer Applications in Applied Linguistics 2. Fundamental Definitions in 3. Computer-Assisted Language Learning Activities 4. Software Principles for CASLA 5. Assessing Computer-Assisted Language Learning Tasks 6. Computer-Assisted Language Assessment 7. Computer-Assisted SLA Research 8. Directions for CASLA.

Examination Systems through Online Evaluation Tools

2025-06-24

Mr. Kunal Chaudhari | International Journal for Research in Applied Science and Engineering Technology

Examination systems through online evaluation tools are innovative digital platforms engineered to streamline and modernize the assessment process, especially for multiple-choice evaluations. Developed using web technologies such as HTML, CSS, … Examination systems through online evaluation tools are innovative digital platforms engineered to streamline and modernize the assessment process, especially for multiple-choice evaluations. Developed using web technologies such as HTML, CSS, and JavaScript, and powered by MySQL for robust data management, these systems offer a secure, user-friendly environment for examiners and candidates alike. Featuring functionalities like automated exam generation, randomized question distribution, time-bound assessments, and instant result processing, they eliminate manual workload and minimize human error. Secure logins, remote exam access, and built-in monitoring tools uphold exam integrity. With their centralized database and seamless design via Visual Studio Code, these systems provide real-time performance analytics and ensure fast, fair, and scalable evaluations, perfectly suited for educational institutions and organizations embracing digital transformation.

Exploring the Relationship between Classroom English Proficiency and Teacher Self-Efficacy Among Polytechnic EFL Teachers

2025-06-21

Yueqiao Lin , Maslawati Mohamad , Mohd Izwan Mahmud | Arab World English Journal

This study aimed to examine the relationship between classroom English proficiency and teacher self-efficacy among English as a Foreign Language teachers in Chinese polytechnics. Specifically, it sought to address to … This study aimed to examine the relationship between classroom English proficiency and teacher self-efficacy among English as a Foreign Language teachers in Chinese polytechnics. Specifically, it sought to address to what extent classroom English proficiency affects teacher self-efficacy in Chinese polytechnic EFL teachers. It is significant as it highlights the crucial role of classroom English proficiency in shaping teacher self-efficacy, offering insights for targeted professional development programs. Data were self-reported by 254 polytechnic EFL teachers using two validated measurement scales. Both Exploratory Factor Analysis and Confirmatory Factor Analysis yielded satisfactory results, affirming the factor structure and indicating a good model fit. Descriptive analyses showed that both classroom English proficiency and teacher self-efficacy were at moderate levels. The Pearson correlation analysis revealed a strong positive relationship between classroom English proficiency and teacher self-efficacy, with grammatical and lexical accuracy and range, as well as language of interaction, exhibiting stronger correlations with teacher self-efficacy compared to pronunciation, stress and intonation, and language of instruction. The multiple regression analysis further demonstrated that grammatical and lexical accuracy and range, together with language of interaction, have a significant positive impact on teacher self-efficacy. These findings underscore the importance of prioritizing strategic training in grammar lexical accuracy and range, and the language of interaction skills for EFL teachers with limited English proficiency. Enhancing these competencies is posited to contribute to the development and sustained enhancement of self-efficacy among EFL teachers in Chinese polytechnics.

UTILIZING FUZZY SET THEORY IN IMPROVING EDUCATION SYSTEM, CHALLENGES AND FUTURE DIRECTIONS

2025-06-20

| Advances in Fuzzy Sets and Systems

In the past several years, there has been a growing interest in the use of fuzzy set theory (FST) in the education system like student learning, supports the educational process, … In the past several years, there has been a growing interest in the use of fuzzy set theory (FST) in the education system like student learning, supports the educational process, and helps teachers make wise judgments. Fuzzy logic has found use in a variety of domains, including education, due to its capacity to manage imprecise information and model ambiguity. This paper seeks to investigate the various ways that fuzzy set theory is applied in the educational setting, with an emphasis on how it is used in student modeling, evaluation, individualized learning, and decision-making. Through a review of the research, this paper suggests potential applications of FST in improving education system, challenges and future directions.

An Application of Learner Corpus Analysis in Grammatical Comprehension—Task Based Language Teaching and Corpus Linguistics

2025-06-20

Katerina Florou | Frontiers of Contemporary Education

In this study, inspired by the corpus error analysis, its pedagogical application and the directions of Task Based Language Teaching, we compared the written production of two groups of students. … In this study, inspired by the corpus error analysis, its pedagogical application and the directions of Task Based Language Teaching, we compared the written production of two groups of students. The first was a group that applied the focusing on form phase by observing the past participle, in examples from native speakers and in grammar rules. The second was a group of students that applied the focusing on form phase by observing their own errors and comparing them with corresponding examples of a native speaker corpus. To investigate our hypothesis, we developed four learner corpora. The first two (one of each group of students) were produced during the task phase and the other two at the end of the lesson as a follow up activity. The results of the comparison showed that students’ exposure to their own errors can improve the comprehension of a grammatical element (Note 1).

Evaluation of Factors Delaying the Completion of Schools Projects by Using Neural Network Multi-Layer Perceptron Model

2025-06-20

| International journal of intelligent engineering and systems

An Analysis of the Effects of Multiple Feedback on College English Writing

2025-06-19

Chi Cui | English Language Teaching and Linguistics Studies

In college English writing teaching, feedback mechanism is a key factor to improve students' writing ability. With the development of educational technology, multiple feedback methods have gradually become an important … In college English writing teaching, feedback mechanism is a key factor to improve students' writing ability. With the development of educational technology, multiple feedback methods have gradually become an important part of English writing teaching. This paper explores the application of multiple feedback in college English writing, including three main forms of teacher feedback, peer feedback and automated feedback, and analyzes their effects on students' writing level. The study shows that multiple feedback not only improves students' writing skills, but also enhances their self-assessment ability and independent learning ability, while facing certain challenges and limitations. This paper addresses these issues and proposes strategies to cope with these challenges, which provide useful references for teaching English writing at university.

Unique and shared roles of the LLAMA subtests for prediction of initial L2 achievement: An application of regression commonality analysis

2025-06-19

Philip S. Dale , Lars Bokander , Richard L. Sparks | Research Methods in Applied Linguistics

Assessing the reliability and relevance of DeepSeek in EFL writing evaluation: a generalizability theory approach

2025-06-19

Huixin Gao , Harwati Hashim , Melor Md Yunus | Language Testing in Asia

THINKING LIKE A COMPILER: A SYSTEMATIC APPROACH TO SOLVING GRAMMATICAL TASKS IN EXAMS

2025-06-19

Tetiana Cherniuk , Bohdan Somriakov | Молодь і ринок

Іспити можуть бути джерелом стресу для багатьох студентів, особливо коли йдеться про вирішення граматичних завдань. Основні труднощі виникають через природну тенденцію підходити до цих завдань неорганізовано, намагаючись жонглювати кількома розумовими … Іспити можуть бути джерелом стресу для багатьох студентів, особливо коли йдеться про вирішення граматичних завдань. Основні труднощі виникають через природну тенденцію підходити до цих завдань неорганізовано, намагаючись жонглювати кількома розумовими процесами одночасно. Студенти часто водночас аналізують граматичні правила, інтерпретують значення речень, розглядають ширший контекст і навіть обмірковують емоційний тон уривку. Така багатозадачність може бути непосильною, спричиняючи помилки та неповні відповіді, оскільки тиск зростає. Однак існує альтернативний спосіб мислення, який може значно покращити здатність учня справлятися з такими завданнями: мислення як у комп’ютера. У світі програмування комп’ютери обробляють мови, використовуючи системний підхід, дотримуючись точних правил, щоб розбити складний код на менші, більш керовані частини. Подібно до того, як компілятор обробляє мови програмування, розділяючи синтаксис, семантику та структуру на чіткі кроки, студенти можуть застосувати подібну стратегію до мовних іспитів. Зосереджуючись на одному аспекті за раз і методично опрацьовуючи завдання, вони можуть зменшити розумове перевантаження та підвищити свою точність. У цій статті проводиться аналогія між тим, як комп’ютери працюють з мовами програмування, і тим, як студенти можуть отримати користь від прийняття “мислення компілятора” при підготовці до іспитів з англійської мови. Під цим кутом зору студенти дізнаються, як краще організувати свій процес мислення, розбивати складні завдання на частини та уникати поширених помилок, які виникають при спробі обробити надто багато елементів одночасно. Підходячи до граматичних завдань у структурований, методичний спосіб, студенти можуть підвищити свою впевненість та покращити результати в умовах іспиту.

Design and Implementation of Quiz Application using MERN

2025-06-19

Abhishek Kushwaha , Rajendra Kumar Gupta | International Journal for Research in Applied Science and Engineering Technology

This paper presents the design and development of Quiz Application built using MERN stack – MongoDB, Express.js, React.js and Node.js. The project gives me hand-on experience in working with full-stack … This paper presents the design and development of Quiz Application built using MERN stack – MongoDB, Express.js, React.js and Node.js. The project gives me hand-on experience in working with full-stack web development project. Quiz Applications has a great value in educational sector, also it promotes digital learning and reduces the manual effort for conducting examination. Traditional way of conducting examinations takes lot of manual efforts such as preparing paper-based question sets, Distributing and collecting answer sheets, manually evaluating responses.The Application allows the Teachers to create and manage quizzes through user-friendly teacher panel and students can attempt quizzes in a student panel. The complete project is divided into three parts i.e. Student Panel, Teacher Panel and Database. The student Panel and Teacher panel both are 3-tier architecture based with shared database. Student panel consist student authentication, quiz attempt, answer submission and get result instantly. Whereas teacher panel consist of quiz creation, quiz management, seeing result as well as adding and managing students.Unlike generic quiz applications that often rely on self-registration and static question banks, the proposed system introduces a controlled environment where teachers manage user credentials, quiz creation, and data resets. Its real-time result evaluation, modular design with separate panels, and centralized database integration offer a robust, scalable solution specifically tailored for academic institutions. This distinct approach enhances usability, security, and administrative control compared to existing solutions

Mining Method for Teaching Resource Library of Biological Mathematics Based on Keyword Query

2025-06-16

Lu Jie | International Journal of High Speed Electronics and Systems

In order to effectively mine teaching resources in the field of biological mathematics, a method for mining a biological mathematics teaching resource library based on keyword queries is proposed. Based … In order to effectively mine teaching resources in the field of biological mathematics, a method for mining a biological mathematics teaching resource library based on keyword queries is proposed. Based on the analytic hierarchy process (AHP), sub-themes for teaching biological mathematics are extracted, and keyword extraction at three levels, sentence, paragraph, and whole text in unit-based text resources, is performed. A keyword similarity measurement method based on importance, defining the range of similarity measurement values between keywords, and ranking the weight of keywords in biological mathematics teaching resources. Extract teaching resource text data items by segmenting the semantic features of biological mathematics teaching resource information based on weighted keywords. Innovatively utilizing the maximal planar bipartite (MPB) tree index structure to mine the teaching resource library of biological mathematics. The experimental results show that the maximum mining time and accuracy of the resource library generated by the design method are 0.04[Formula: see text]s and 93%, respectively. The ability to accurately mine resource data, while continuously increasing the amount of data and the overall mining time, is relatively short. The overall stability of the method is strong, and it can comprehensively query resources of various types and sources, without missing relevant resources due to special formats or sources of resources.

Dynamic Updating Method of Course Content Based on Multiple Intelligent Agents Collaboration

2025-06-16

Sheng Jie , Mang Xiao , Yanyan Xu +2 more | Computer Applications in Engineering Education

ABSTRACT In the rapidly evolving field of education, the timely updating of course content is an essential task, especially in disciplines such as computer science and artificial intelligence, where knowledge … ABSTRACT In the rapidly evolving field of education, the timely updating of course content is an essential task, especially in disciplines such as computer science and artificial intelligence, where knowledge evolves swiftly. However, traditional methods of course revision are labor‐intensive, time‐consuming, and struggle to keep up with the latest academic developments and industry practices. Moreover, directly utilizing content generated by agent tools often results in a disorganized structure and questionable quality. To address these challenges, this paper proposes a dynamic updating method of course content based on the collaboration of multiple intelligent agents. By integrating multiple intelligent agents and knowledge graph technology, this method enables automated retrieval, filtering, and integration of the latest knowledge points, thereby generating a structured, accurate, and comprehensive course content structure. For engineering education, this method can help educators quickly adapt to the needs of technological development, which not only effectively alleviates the burden on educators but also significantly enhances the efficiency and quality of course updating, offering a novel solution for educational content management and promoting the development of engineering education towards intelligence and dynamism. Experimental results indicate that compared to traditional manual revision and direct utilization of single agent, this method maintains high accuracy (over 95%) and high coverage (over 96%), while reducing the knowledge point update cycle to less than 0.5 h and controlling the task execution cycle within 1.5 h.

Review of Probabilistic HyperGraph and Probabilistic SuperHyperGraph

2025-06-15

Takaaki Fujita | Spectrum of Operational Research.

Uncertainty pervades many real‐world networks, yet existing models such as probabilistic graphs and hypergraphs capture only pairwise or fixed‐order interactions. We introduce the novel concept of \emph{Probabilistic \(n\)-SuperHyperGraphs}, which unify … Uncertainty pervades many real‐world networks, yet existing models such as probabilistic graphs and hypergraphs capture only pairwise or fixed‐order interactions. We introduce the novel concept of \emph{Probabilistic \(n\)-SuperHyperGraphs}, which unify nested higher-order relationships with edge‐level uncertainty by assigning probabilities to “superedges” at multiple powerset levels. We present a rigorous formal framework, derive fundamental properties—including degree–sum identities and closure under substructure—and show that our model subsumes classical probabilistic graphs and hypergraphs as special cases. These results pave the way for more expressive and scalable methods in modeling and analyzing complex, uncertainty-laden systems across diverse application domains.

Design and Construction of Goods Inventory Information System Using First in First Out Method

2025-06-14

Slamet Rahayu , Nice Mary Francis P , Rian Hermawa | Journal of Artificial Intelligence and Engineering Applications (JAIEA)

PT SEA in managing incoming goods and outgoing goods data is currently done manually. So that several problems were found including the possibility of missing data, damage to data recording. … PT SEA in managing incoming goods and outgoing goods data is currently done manually. So that several problems were found including the possibility of missing data, damage to data recording. From this matter, it is necessary to have a Goods Inventory Information System using the First In First Out method. This system was made referring to the SDLC (System Development Life Cycle) method with the waterfall model. An information system is produced that can store data, manage data easily. Tests are carried out with blackbox and UAT types aimed at determining the success of the system. Blackbox testing obtained 100% success. The UAT test obtained an average score of 98% which stated that the system was feasible to use. The final result of this final project is the design and implementation of an inventory information system that is able to assist the parties concerned in managing the inventory of goods.

Campus Placement Management System for Recruiters and Students

2025-06-14

Videm Pallavi | International Scientific Journal of Engineering and Management

Abstract – This paper presents a role-based job portal system designed to streamline the campus recruitment process by providing tailored dashboards, features, and functionalities for both students and recruiters. The … Abstract – This paper presents a role-based job portal system designed to streamline the campus recruitment process by providing tailored dashboards, features, and functionalities for both students and recruiters. The platform ensures seamless authentication, profile management, job application, job posting, and real-time tracking through RESTful API integrations. By leveraging responsive design, dynamic role-based navigation, and visual application progress tracking, the system enhances user experience, reduces manual coordination, and increases transparency between applicants and recruiters. The project serves educational institutions and recruitment platforms seeking scalable, user-centric solutions for student placement. Keywords include job portal, student dashboard, recruiter module, REST API integration, role-based routing, and recruitment system. Key Words: job portal, student recruitment, recruiter dashboard, web application, application tracking, responsive system

A Review of the Impact of Task-Based Language Teaching (TBLT) on Oral Proficiency

2025-06-13

Zihan Zhang | Lecture Notes in Education Psychology and Public Media

With economic globalization, oral English proficiency has become a key factor in international communication. However, the oral English proficiency of Chinese students is generally low. The traditional teaching mode pays … With economic globalization, oral English proficiency has become a key factor in international communication. However, the oral English proficiency of Chinese students is generally low. The traditional teaching mode pays too much attention to written English and neglects oral practice. As an emerging teaching mode, task-based language teaching (TBLT) promotes language learning through authentic and meaningful tasks and emphasizes learning by doing. Research has shown that TBLT can significantly improve students' oral fluency, accuracy, and communicative competence. However, it faces many challenges in the implementation process, such as the role change of students and teachers, the complexity of task design, and the limitation of large-class teaching. This paper discusses the effectiveness of TBLT in English teaching in mainland Chinese universities, analyzes its advantages and challenges, and puts forward corresponding suggestions for improvement, intending to provide references for oral English teaching. Improving students' spoken English and communication abilities and supporting the development of talents with international competitiveness can improve the promotion and implementation of TBLT.

Fine-Tuning On-Device LLMs for Socratic Question Generation and Performance Evaluation

2025-06-12

Youngho Lee | Intelligent Information Convergence and Future Education

Design and Development of an Online School Staff Appointment System

2025-06-12

Jane Nyawanzi Lungu , M Mwashi | Deleted Journal

This study focuses on the design and development of an online school staff appointment system, using Pemba Secondary School in Pemba District, Southern Province, as a case study. The objective … This study focuses on the design and development of an online school staff appointment system, using Pemba Secondary School in Pemba District, Southern Province, as a case study. The objective was to develop a system that allows parents and students to easily book appointments with school staff online, reducing misunderstandings and improving communication efficiency. The study investigates the effects of the system on parents, students, and staff, as well as the implementation process and its impact on the school's administrative workflow. The research employed both qualitative and quantitative methods, including surveys, interviews, and statistical analysis, to assess the opinions and experiences of school staff, students, and parents. Findings revealed overwhelming support for the system, with 89% of respondents endorsing its design and 84% indicating that it positively impacts parent-student-school staff interactions. The system was found to improve accessibility, reduce appointment-related costs, and enhance the commitment and professionalism of school staff. Furthermore, the study highlighted the importance of system implementation and user training, with 90% of respondents recognizing the need for proper testing and adaptation. The findings suggest that the online appointment system could significantly streamline administrative processes, improve parental involvement in students’ education, and foster better communication within the school environment.

Evaluation Model Construction of Employability Evaluation for College Teacher Trainees Based on AHP

2025-06-11

XU Ya , Ziyi Li , Chenglong Li +1 more | Scientific journal of humanities and social sciences.

The concept of high-quality employment requires teacher trainees to achieve full employment and career development, and more importantly, to realize their self-worth and gain all-round development. Employability of teacher trainees … The concept of high-quality employment requires teacher trainees to achieve full employment and career development, and more importantly, to realize their self-worth and gain all-round development. Employability of teacher trainees is a bridge connecting the cultivation of talents in colleges and universities with the needs of the society, and it is also the key to the successful employment and career development of teacher trainees. In retrospect, the existing research on employability focuses on connotation analysis and strategy cultivation, but pays little attention to the teacher trainee group, and the framework of the employability of the college student group will lead to the dislocation of teacher trainee's characteristics. Paying attention to and improving the employability of teacher trainees at the pre-service training stage can improve their adaptability to the primary and secondary school teaching profession after graduation, thus helping to reduce the turnover rate of primary and secondary school teachers. Drawing on existing relevant studies, this study compiled its own "Employability Assessment Scale for College Teacher Students" through the Delphi method, and after item analysis, exploratory factor analysis, and reliability test, established an employability model for teacher students that contains five dimensions: professional competence, general competence, competing competence, vocational qualities, and personality traits, and promoted the cultivation of employability to be embedded in the curriculum system of teacher education.

Implementation a Real Monitoring Information System for English Languange Skill

2025-06-10

Mike Amelia , Fitri Handayani | Journal of English Language Learning

This study aimed to implement, and evaluate a real-time monitoring information system to enhance the development of English language skills among students. Traditional methods of language learning often lack immediate … This study aimed to implement, and evaluate a real-time monitoring information system to enhance the development of English language skills among students. Traditional methods of language learning often lack immediate feedback and individualized tracking, which are critical for skill improvement. To address this gap, a web-based system was developed to monitor student performance in listening, speaking, reading, and writing, providing real-time analytics to both students and teacher.The research employed a design and development approach using a mixed-methods evaluation. Fifty students and five English teachers at SDN Pasir Jengkol II Karawang participated in this reasearch. Quantitative data from system, and pre-tests and post tests were analyzed alongside qualitative feedback from surveys and interviews. Results indicated significant improvements in student performance across all skill areas, with an average increase of over 12% in post-test scores. User feedback revealed high levels of satisfaction with the system’s usability and usefulness, and indicating excellent usability. In conclusion, the real-time monitoring system effectively supported English language learning and instructional practices by providing timely feedback, increasing student motivation, and enabling data-driven decision-making. The findings suggest that such systems have strong potential for broader implementation in language education.

The Evolution of Assessing Content Knowledge in Online Mathematics Courses

2025-06-10

Angie Hodge-Zickerman , Cindy S. York | Chapman and Hall/CRC eBooks

CHARACTERIZATION OF NORMAL FUZZY SUBGROUP

2025-06-08

Bagas Dwi Cahyo , Suroto Suroto , Sri Maryani | Mathline Jurnal Matematika dan Pendidikan Matematika

In this article, we discuss the characterization of a normal fuzzy subgroup of classical group . The discussion of this characterization is carried out using Abelian properties, fuzzy conjugate subgroups, … In this article, we discuss the characterization of a normal fuzzy subgroup of classical group . The discussion of this characterization is carried out using Abelian properties, fuzzy conjugate subgroups, fuzzy normalizers, ????-level sets, and fuzzy cosets. The result shows that a sufficient and necessary condition for a normal fuzzy subgroup is the fulfilment of the Abelian condition in the fuzzy subgroup. Then, the equality between of the membership value of all element of and its conjugate elements is also a sufficient and necessary condition for normal fuzzy subgroup of ????. Moreover, sufficient and necessary conditions of the normal fuzzy subgroup are the normalizer of this fuzzy subgroup is equal to ????. Henceforth, the sufficient and necessary conditions of a normal fuzzy subgroup of is its ????-level set is a normal subgroup of . Meanwhile, the similarity of the fuzzy right coset and fuzzy left coset of the fuzzy subgroup is also a sufficient and necessary condition for the normal fuzzy subgroup. Furthermore, the normal properties of subgroups on classical groups are a special case of the normal properties in fuzzy subgroups.

An Analysis of the Construction Methods of Multimodal Course Knowledge Graphs

2025-06-05

Fulin Li | Journal of Electronic Research and Application

In the context of digitalization, course resources exhibit multimodal characteristics, covering various forms such as text, images, and videos. Course knowledge and learning resources are becoming increasingly diverse, providing favorable … In the context of digitalization, course resources exhibit multimodal characteristics, covering various forms such as text, images, and videos. Course knowledge and learning resources are becoming increasingly diverse, providing favorable conditions for students’ in-depth and efficient learning. Against this backdrop, how to scientifically apply emerging technologies to automatically collect, process, and integrate digital learning resources such as voices, videos, and courseware texts, and better innovate the organization and presentation forms of course knowledge has become an important development direction for “artificial intelligence + education.” This article elaborates on the elements and characteristics of knowledge graphs, analyzes the construction steps of knowledge graphs, and explores the construction methods of multimodal course knowledge graphs from aspects such as dataset collection, course knowledge ontology identification, knowledge discovery, and association, providing references for the intelligent application of online open courses.

Challenges in Constructing Multiple-Choice (MC) Matching Item (MI) and True-False (TF) Test Formats among Educators Who Are Not Teachers by Profession in Tanzanian Higher Learning Institutions

2025-06-05