Articles de revues : « Student database »

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Prakoso, Luxman Aji, Abu Qosim Almisfalah et Endra Arief Kurniawan. « MENINGKATKAN KETERAMPILAN SISWA DALAM PEMBELAJARAN DATABASE, MAIL SERVER DI SEKOLAH SMKN 9 SURAKARTA ». Buletin Literasi Budaya Sekolah 2, n^o 2 (8 décembre 2020) : 164–68. http://dx.doi.org/10.23917/blbs.v2i2.12845.

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In improving the quality of student skills in the process of learning databases, mailserver at SMKN 9 SURAKARTA, schools not only depend on the quality of managers but also improvement of management systems and the development of students' ability to apply database concepts. Mastery of database concepts is very important in order to improve student skills and improve student creativity in developing websites and improving the quality or ability of students so they can compete in the world of work. The database is one of the important components in information systems, with the information system it will provide accurate, timely and relevant information for its users so that it can be used for decision making. Teacher strategies in improving Database skills at SMKN 9 SURAKARTA, in delivering the teacher's material, first explain and explain clearly and hatefully then give examples of outputs from the database program, so students will try to be more competitive and efficient and try to improve skills in learning databases the.

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Ann Ross, Barbara. « Setting up a Student Database ». Nurse Educator 20, n^o 1 (janvier 1995) : 11–12. http://dx.doi.org/10.1097/00006223-199501000-00004.

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Ross, Barbara Ann. « Track Student Progress with a Database ». Nurse Educator 19, n^o 6 (novembre 1994) : 6. http://dx.doi.org/10.1097/00006223-199411000-00004.

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Healy, Lulu, et Celia Hoyles. « Using a Database for Student Research ». Mathematics Teaching in the Middle School 2, n^o 3 (janvier 1997) : 154–58. http://dx.doi.org/10.5951/mtms.2.3.0154.

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Computer databases, widely available in schools, have the potential to offer new ways of approaching aspects of data handling within mathematics education. It is not always easy, however, to integrate the use of databases into everyday classroom life. Although databases can be used in ways that encourage students to test hypotheses, generate conjectures, and interpret trends in data, these results do not happen unless students are involved in meaningful inquiry in which they research an item of personal interest. The project described in this article is one of a series developed in collaboration with teachers to exploit the use of computer databases in the search for information. By orienting data handling around students' own research endeavor, we aimed to stimulate students' interest not only in the data themselves but also in the mathematical strategies underpinning the research process.

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Tokhirov, Ezozbek, et Ezoza Xakimova. « Assess students’ knowledge database formation ». Актуальные вопросы развития инновационно-информационных технологий на транспорте 2, n^o 2 (22 novembre 2022) : 18–21. http://dx.doi.org/10.47689/978-9943-7818-0-1-v2-pp18-21.

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This article aims to develop a database of student knowledge assessment using modern software tools that are user-friendly and understandable based on demand and supply. Also, the task of this database is to create a convenient environment for evaluating students’ knowledge and obtaining the necessary information.

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Mitchell, Alanah, et Amy Grace Vaughan. « Implementing Team-Based Learning : Findings From a Database Class ». Journal of Information Technology Education : Innovations in Practice 21 (2022) : 001–23. http://dx.doi.org/10.28945/4903.

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Aim/Purpose: The complexity of today’s organizational databases highlights the importance of hard technical skills as well as soft skills including teamwork, communication, and problem-solving. Therefore, when teaching students about databases it follows that using a team approach would be useful. Background: Team-based learning (TBL) has been developed and tested as an instructional strategy that leverages learning in small groups in order to achieve increased overall effectiveness. This research studies the impact of utilizing team-based learning strategies in an undergraduate Database Management course in order to determine if the methodology is effective for student learning related to database technology concepts in addition to student preparation for working in database teams. Methodology: In this study, a team-based learning strategy is implemented in an undergraduate Database Management course over the course of two semesters. Students were assessed both individually and in teams in order to see if students were able to effectively learn and apply course concepts on their own and in collaboration with their team. Quantitative and qualitative data was collected and analyzed in order to determine if the team approach improved learning effectiveness and allowed for soft skills development. The results from this study are compared to previous semesters when team-based learning was not adopted. Additionally, student perceptions and feedback are captured. Contribution: This research contributes to the literature on database education and team-based learning and presents a team-based learning process for faculty looking to adopt this methodology in their database courses. This research contributes by showing how the collaborative assessment aspect of team-based learning can provide a solution for the conceptual and collaborative needs of database education. Findings: Findings related to student learning and perceptions are presented illustrating that team-based learning can lead to improvements in performance and provides a solution for the conceptual and collaborative needs of database education. Specifically, the findings do show that team scores were significantly higher than individual scores when completing class assessments. Student perceptions of both their team members and the team-based learning process were overall positive with a notable difference related to the perception of team preparedness based on gender. Recommendations for Practitioners: Educational implications highlight the challenges of team-based learning for assessment (e.g., gender differences in perceptions of team preparedness), as well as the benefits (e.g., development of soft skills including teamwork and communication). Recommendation for Researchers: This study provides research implications supporting the study of team assessment techniques for learning and engagement in the context of database education. Impact on Society: Faculty looking to develop student skills in relation to database concepts and application as well as in relation to teamwork and communication may find value in this approach, ultimately benefiting students, employers, and society. Future Research: Future research may examine the methodology from this study in different contexts as well as explore different strategies for group assignments, room layout, and the impact of an online environment.

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Schoenecker, Craig, et Richard Reeves. « The National Student Clearinghouse : The largest current student tracking database ». New Directions for Community Colleges 2008, n^o 143 (juin 2008) : 47–57. http://dx.doi.org/10.1002/cc.335.

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Win, Aye Mon, et Khin Lay Myint. « Database Security Model using Access Control Mechanism in Student Data Management ». International Journal of Trend in Scientific Research and Development Volume-3, Issue-3 (30 avril 2019) : 529–31. http://dx.doi.org/10.31142/ijtsrd22820.

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Korotun, Olha V., Tetiana A. Vakaliuk et Vladimir N. Soloviev. « Model of using cloud-based environment in training databases of future IT specialists ». CTE Workshop Proceedings 7 (20 mars 2020) : 281–92. http://dx.doi.org/10.55056/cte.360.

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The authors substantiates and develops the model of using cloud-based environment (CBE) in the training of databases of future information technology (IT) specialists, which consists of interrelated units: target (purpose, task of using CBE), conceptual (pedagogical approaches, didactic principles), organizational and semantic (characteristics of CBE, basic requirements for CBE, subjects of training, CBE of the teacher, CBE of the student, curricula of institution of higher education, educational-methodical complex of discipline “Databases”, installation and configuration of database management system, development of educational material from the database in electronic form, selection of cloudbased systems of distance learning, introduction of cloud-based systems of distance learning in the training of students’ databases, selection of CBE in database training (databases, forms, methods, tools), evaluative (criteria, indicators, levels of professional and practical competence of future IT specialists on the use of CBE in database training), effective (increased formation of the information and communication technologies of future IT specialists on the use of CBE in database training).

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Isbister, Christian. « Indians in the Database ». Pathfinder : A Canadian Journal for Information Science Students and Early Career Professionals 2, n^o 2 (4 mai 2021) : 2–17. http://dx.doi.org/10.29173/pathfinder38.

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The goal of this exploratory research study is to better understand how students in the Faculty of Native Studies at the University of Alberta relate to terminology for Indigenous peoples in Canada, namely Indian, in controlled vocabulary subject headings. The language used in controlled vocabularies to describe resources about Indigenous peoples does not always reflect terms Indigenous peoples use to describe themselves, leading to a disconnect between users and subject headings. Although this issue is beginning to enter academic discourse alongside reconciliation efforts, to date no research study has examined how students react to this issue. In this study interviews were conducted with five students from the Faculty of Native Studies to better understand how they relate to terminology. Students reported feeling uncomfortable at being forced to use language they saw as racist or insensitive. Future research should be conducted to better understand student relationships with subject headings, particularly at different institutions

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Banerjee, Soumita. « The Role of Global Educational Database in Educational Data Mining ». European Journal of Engineering and Technology Research 1, n^o 6 (27 juillet 2018) : 16–26. http://dx.doi.org/10.24018/ejeng.2016.1.6.194.

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Educational Data Mining is one of the major on-going research platforms now. Students’ records need to be maintained and analyzed in a manner so that they can be utilized to predict students’ behavior and learning methods. Although students’ academic records need to be processed and analyzed through data mining tools, the primary challenge is to gather individual academic student details. This paper proposes a global database of students irrespective of geographical boundaries. Academic performance of every student from every country will be updated in this platform. Students’ performance on major examinations will be available in the database. Supporting documents and performance details will be readily available and accessible to the evaluators from any geographic location. This will be helpful to standardize the evaluation process and analyze the performance of a student, irrespective of geographic boundaries. The following paper will discuss the available EDM tools and how data can be analyzed to extract information.

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Lesure, Kenneth B., James A. Frost et Roger L. Williams. « Evaluating student achievement with a relational database ». Behavior Research Methods, Instruments, & ; Computers 25, n^o 2 (juin 1993) : 298–300. http://dx.doi.org/10.3758/bf03204513.

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Pernetta, Angelo P. « Mentors could support a student reviewer database ». Nature 448, n^o 7150 (juillet 2007) : 129. http://dx.doi.org/10.1038/448129c.

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Deminco, Sandrea. « Student Responses to Using a Computerized Database ». Reference Librarian 36, n^o 75-76 (juin 2002) : 293–306. http://dx.doi.org/10.1300/j120v36n75_27.

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Uhen, Mark D., Laura Lukes, Christian George et Rowan Lockwood. « Building creative thinking into the STEM undergraduate classroom experience using large databases : The Paleobiology Database example ». Innovations in Teaching & ; Learning Conference Proceedings 8 (15 juillet 2016) : 2. http://dx.doi.org/10.13021/g84g7b.

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Undergraduate research experiences have been linked to increased student recruitment and retention in STEM, particularly within traditionally underrepresented populations. However, research experiences can be cost prohibitive due to the infrastructure necessary to conduct experiments or collect field data. Existing, large scientific databases can be leveraged to provide students (including students in online courses) with authentic research experiences without the logistical costs. The Paleobiology Database (paleobiodb.org) is one of many publicly available (and free) scientific databases. This project describes authentic research activities which engage students at several 4 and 2-year institutions in the southeastern United States use the data available in the Paleobiology Database to engage in the creative process of developing their own research questions, hypotheses, and investigations. Once produced an evaluated, these research activities will be made available to instructors across the world on the Paleobiology Database website, which will also encourage educators to create and post their own activities as well.

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Qotimah, Khusnul, et Supari Muslim. « STUDY ON APPLICATION OF PROBLEM-BASED LEARNING TO INCREASE STUDENT’S LEARNING OUTCOME AT DATABASE LESSON IN VOCATIONAL HIGH SCHOOL ». Humanities & ; Social Sciences Reviews 7, n^o 3 (15 mai 2019) : 438–45. http://dx.doi.org/10.18510/hssr.2019.7364.

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Purpose of Study: In the process of learning in vocational high school, the common problem happens today is low student learning outcomes. Predictably it is caused by several things, one of them is the learning model that is not in accordance with the characteristics of the subjects. One of the learning models in accordance with the database subject and can improve student learning outcomes is a problem-based learning model. The purpose of this research is to know about: (1) how far the utilization of learning model based on problem in database subject; (2) how the procedure of implementing the problem based learning model in the database lesson; and (3) how the influence of problem-based learning on student learning outcomes in database subjects. Methodology: Based on the problem as described above, problems can be formulated as follows: (1) how far the use of learning models problem based learning in database subjects?; (2) how is the procedure of implementing the problem-based learning model in database subjects?; And (3) What is the effect of problem-based learning on student learning outcomes in database subjects? Results: Based on the literature review, the following conclusions are obtained: (1) problem-based learning model can be utilized for database subjects because most of the subject material is practical; (2) the procedure of implementing the problem based learning model on the database subject is started from orient student on the database operation problem, organizing the students to learn to operate the database software, guiding individual and group investigation to completing database operation, developing and presenting the results then evaluate the problem solving process on the operation of database software; (3) problem-based learning model can improve learning outcomes in database subjects. Implications/Applications: Problem Based Learning model, if applied to database subjects, can improve learning outcomes in database subjects.

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Liu, Wenting, et Shihang Wei. « Design and Management of Comprehensive Art Student Information Database from the Perspective of Internet plus Education ». Security and Communication Networks 2022 (27 septembre 2022) : 1–9. http://dx.doi.org/10.1155/2022/6494404.

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With the rapid development of information technology and network technology, all kinds of data increase exponentially, and the traditional relational databases cannot handle these data well, which is also reflected in the sharp increase in the number of college students. The amount of students' information is increasing exponentially and the simple management method in the past can no longer meet the needs of the new situation. This paper adopts B/S mode and three-tier architecture and relies on network technology and ASP.NET technology to design and implement the student information management system. The system is divided into eight functional modules: comprehensive information inquiry for students, scholarship evaluation, evaluation and award, economic recognition, student loan management, student violation, communication and feedback, and system management. Different operation interfaces are designed according to four users with different permissions: students, class tutors, college administrators, and student affairs offices. This paper describes the system analysis, design, and implementation in detail. The practice results show that the initial use of the student information database management reflects well and achieves the expected goal. The system is easy to maintain and extensible and has good application value. The operation of the system has greatly improved the management efficiency of student affairs and enabled the student affairs administrators to complete various student affairs more efficiently. Campus information construction is becoming an important part of the overall construction of colleges and universities, and it is also a basic and continuous work. Accelerating the establishment of a set of comprehensive, perfect, and efficient student comprehensive management information systems is an urgent need to promote the modernization of college student management. The modernization, informatization, and standardization of college student management are a complex systematic project. Only by relying on modern information technology can we cope with the base pressure brought by the continuous enrollment expansion of college students, promote the flat and intensive utilization of college management information, and improve the efficiency and quality of service.

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Lambert, Sherwood Lane, Jon Holladay et Dawna M. Drum. « International AC : An Education Case on Continuous Monitoring SQL Server Data with ODBC-Linked Tables in Microsoft Access ». Journal of Emerging Technologies in Accounting 13, n^o 2 (1 septembre 2016) : 195–213. http://dx.doi.org/10.2308/jeta-51597.

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ABSTRACT This education case teaches students Continuous Auditing/Continuous Monitoring (CA/CM) using Open Database Connectivity (ODBC) connections from students' Microsoft Access (Access) to tables in Microsoft SQL Server (SQL Server). First, the institution's database administrator (DBA) imports the student tables provided with the Teaching Notes into the institution's SQL Server with read-only access. In Access, students create ODBC connections to the SQL Server student tables. Then, students create Access queries using the ODBC-linked tables to monitor for anomalies. During a scheduled week, the DBA, in coordination with the faculty member, enters anomalies in the SQL Server student tables at random times, and students run their Access queries to identify the anomalies.

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Hartama, Dedy. « Analisa Visualisasi Data Akademik Menggunakan Tableau Big Data ». Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) 3 (26 juillet 2018) : 46. http://dx.doi.org/10.30645/jurasik.v3i0.65.

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This research explains the benefits of data analysis by visualizing Big data in performing optimization in the academic management environment. The data used is academic information system database that related with student status. In this study the authors use Tableau tools to perform data analysis based on the number of students worksheet, student status, student name table and generate student dashboard data. The results of the analysis obtained by using visualization in bemtuk management graph is very fast and optimize data processing so mengatahui the development of academic database situation.

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Ahmad. « A Novel Database Design for Student Information System ». Journal of Computer Science 6, n^o 1 (1 janvier 2010) : 43–46. http://dx.doi.org/10.3844/jcssp.2010.43.46.

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Pierce, Jean W. « Student-generated matrix/database as an organizational tool ». Computers & ; Education 14, n^o 5 (janvier 1990) : 417–20. http://dx.doi.org/10.1016/0360-1315(90)90035-6.

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Edwards, Chris, et Mark Gaved. « The Student Study Experience – Analysing Student Study Choices ». EDEN Conference Proceedings, n^o 1 (22 juin 2020) : 373–79. http://dx.doi.org/10.38069/edenconf-2020-ac0035.

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As higher education institutions increasingly teach online and offer greater levels of choice to students (over which modules to study, in which order to study, and how long to extend study before qualification) new challenges are introduced. One of these challenges is how to maintain an understanding of the student experience. This understanding is necessary to provide feedback to both students and faculty, and institutionally for the continued enhancement of quality. This paper is the first attempt at providing a narrative describing one approach to this challenge and the experience within a large distance learning University. It demonstrates a new approach to data is key to enabling the analysis of student study pathways. For many years, this University has offered great flexibility of study and as wide a study choice as it is possible to offer with conventional modules. By design, the Institution holds high levels of data for all student study. However, whilst it is possible to create bespoke queries, we found that this has been insufficient to readily enable analysis of the student experience. By moving from a traditional relational database structure to a multi-model database, many of the difficulties are resolved. In this paper, we report on this approach and describe next steps, including the potential to apply machine learning algorithms and test other data theories like that of Markov Chains.

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Chauhan, Nidhi, Mandeep Singh, Ayushi Verma, Aashwaath Parasher et Gaurav Budhiraja. « Implementation of database using python flask framework ». International Journal of Engineering and Computer Science 8, n^o 12 (20 décembre 2019) : 24894–99. http://dx.doi.org/10.18535/ijecs/v8i12.4390.

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This paper is aimed at development of a college database management system that can be used in any educational institution. Python flask framework is used to implement this application, that can be accessed throughout the institution or by any specific department of the institution. This system offers different features to the students and the members of the staff which includes attendance and marks of the students that can be accessed by both student and staff but can be only updated by staff of particular department . Students as well as staffs have separate logins that can be accessed by them easily . The system also includes a library management system which works in real time,a micro transport management system and a training and placement management system.Library management system keeps track of the books issued and also calculates the fine generated for delay in book returning and transport system maintains the record of each student i.e bus number ,route of that bus etc . A separate system for analysing the placement record of the college is also present . This system is developed to maintain and facilitate easy access to information to every member associated with this system. For this the users must be registered with the system after which they can access their accounts as well as modify data as per the permissions given to them. Python flask framework is the technology that we have used to develop the college management system. Flask is a web framework written in python. It can be classified into microframework because it does not require any particular tolls or libraries. However flask supports extension that can add application features . For frontend we have used HTML,CSS and javascript whereas for backend we have used python flask and mysql.This system helps college and universities to save time , money and resources.

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Maghfiroh, Ainiyatul, Henderi Henderi et Giandari Maulani. « RANCANGAN SISTEM INFORMASI PENDAFTARAN SISWA BARU BERBASIS WEB PADA SMK PUTRA RIFARA ». Jurnal Ilmiah Matrik 22, n^o 1 (30 mars 2020) : 1–7. http://dx.doi.org/10.33557/jurnalmatrik.v22i1.850.

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New student registration is one of the processes that is normally carried out every year in educational institutions such as schools. New student registration is useful for screening prospective students who have been selected tobecome their students. In this research the process of registering new students at SMK Putra Rifara is done conventionally and has not been computerized, which allows many errors from writing data, stacking files and losing data. The formulation of the problem of this research is how to make a registration information system for SMK Putra Rifara. So the research method used is the method of observation, interviews, and library methods. The new student registration in formation system is buit with the PHP programming language and utilizes the MySQL database as a database server. The results of this study are web-based new student registration information systems that have the ability to provide data accuracy and ease for parents and prospective new students to obtain information about the school.

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Browne, Geoffrey R., Helena Bender, James Bradley et Alexis Pang. « Evaluation of a tertiary sustainability experiential learning program ». International Journal of Sustainability in Higher Education 21, n^o 4 (25 mai 2020) : 699–715. http://dx.doi.org/10.1108/ijshe-08-2019-0241.

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Purpose This paper aims to describe the development, promotion and evaluation of sustainability learning experience database (SLED), a university-curated database of sustainability experiences to augment formal student learning. Its purpose was to encourage students to participate in experiential learning, to facilitate students’ critical appraisal of programs ostensibly designed to create sustainability and to, thus, develop students’ sustainability self-efficacy and employability. Design/methodology/approach In total, 55 sustainability experiences were curated and placed into the SLED database, which was promoted to students in nine subjects. Supporting materials designed to assist critical evaluation, reflection on experiences and to build student employability were also developed. A comprehensive mixed-methods evaluation of the program was conducted. Findings The quantitative evaluation revealed some changes in environmental behaviors, depth of critical sustainability thinking and graduate attributes. The qualitative evaluation revealed that students see the value of a university-curated database of experiences and provided ideas for improvements to the database. It also revealed examples of higher-order learning facilitated by SLED. Research limitations/implications Recruitment and attrition of research subjects, common challenges in pedagogical research, were experienced. “Opt-out” is one response to this but it comes with ethical challenges. Originality/value This exploratory study demonstrates the potential of SLED to build students’ sustainability efficacy and suggests ways in which it and similar programs can be developed for improved student and sustainability outcomes. Namely, the use of an online platform closely associated with existing learning management systems, higher-level institutional stewardship, closer curriculum integration and close partnering with credentialing programs.

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Garman, George. « A Logistic Approach To Predicting Student Success In Online Database Courses ». American Journal of Business Education (AJBE) 3, n^o 12 (1 décembre 2010) : 1–6. http://dx.doi.org/10.19030/ajbe.v3i12.959.

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This paper examines the affects of reading comprehension on the performance of online students in a beginning database management class. Reading comprehension is measured by the results of a Cloze Test administered online to the students during the first week of classes. Using data collected from 2002 through 2008, the significance of the Cloze Test score is analyzed with respect to the three different assessment methods used in the class as well as to the overall average score of the students in the class. The data are tested using a binary logistic model that analyzes the data on a success (improvement) or failure (no improvement) basis. The analysis finds that reading comprehension has a significant impact on the scores students earn on examinations and on the final class average. However, the reading comprehension score has no significant impact on assessments that are more under the control of the student such as online open-book quizzes and projects.

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Cmor, Dianne, Alison Chan et Teresa Kong. « Course-Integrated Learning Outcomes for Library Database Searching : Three Assessment Points on the Path of Evidence ». Evidence Based Library and Information Practice 5, n^o 1 (17 mars 2010) : 64. http://dx.doi.org/10.18438/b8vg9r.

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Objective - This study aims to assess student learning with respect to basic database searching at three different points within a required first year course. Methods - Three methods were employed at three different points to identify evidence of successful learning: 1. Analysis of in-class exercises from the initial library workshop, e.g. how many students showed evidence of satisfactorily achieving the stated learning outcomes. 2. Participant observation of student presentations, noting themes, strengths and weaknesses of student research strategy; written observation reports from librarians were coded and quantified to identify major themes. 3. Interviews with course instructors responsible for grading the final submitted projects, focusing on both student achievement and instructor perceptions of the impact of library involvement. Results - Though performance on in-class exercises showed evidence of successful learning in over 70% of students, observational data indicated that very few students showed evidence of applying new knowledge and new search skills to their own topics two weeks later. Instructor interviews revealed a perception of similar difficulties in final project submissions, and instructors suggested that students did not appreciate the need for library resources. Conclusion - In this study, students showed evidence of learning in a simulated environment, but were unable or unwilling to demonstrate this learning in authentic situations. Multiple assessment methods reveal a lack of student ability to apply search skills.

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Wang, Zhen Chao. « Key Data Optimization Mining in Massive Student Database Model ». Applied Mechanics and Materials 687-691 (novembre 2014) : 1466–69. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.1466.

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In the process of massive student data mining using traditional method, special words and related characteristics were used as mining objects. The concealment and feature of deliberately camouflaged of information made it is difficult for mining model to form an effective cluster centers, which reduced the accuracy of information mining. Hence an optimized data mining method was proposed. According to the degree of generalization and fuzziness of the feature words of student, the threshold of mining information was set, which avoided the effects of redundant information, thus the efficiency of mining was improved. The experimental results showed that using the improved algorithm to perform information mining in massive student database could effectively improve mining efficiency.

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Jarrett-Williams, Tianna. « Student registration on NMC database is fair and sensible ». Nursing Standard 25, n^o 49 (10 août 2011) : 33. http://dx.doi.org/10.7748/ns2011.08.25.49.33.p6057.

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Armstrong, Annie R. « Student perceptions of federated searching vs single database searching ». Reference Services Review 37, n^o 3 (14 août 2009) : 291–303. http://dx.doi.org/10.1108/00907320910982785.

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Wood, J. A. « A student-generated database for the physical chemistry laboratory ». Journal of Chemical Education 65, n^o 4 (avril 1988) : 343. http://dx.doi.org/10.1021/ed065p343.2.

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Frank, J. L., C. A. Duffield et C. A. Swearingen. « Mentor-I : an expert database system for student guidance ». IEEE Expert 3, n^o 2 (1988) : 40–46. http://dx.doi.org/10.1109/64.2104.

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Sumathi, K., S. Kannan et K. Nagarajan. « Data Mining : Analysis of student database using Classification Techniques ». International Journal of Computer Applications 141, n^o 8 (17 mai 2016) : 22–27. http://dx.doi.org/10.5120/ijca2016909703.

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Kohli, Kashish, et Shiivong Birla. « Data Mining on Student Database to Improve Future Performance ». International Journal of Computer Applications 146, n^o 15 (18 juillet 2016) : 42–46. http://dx.doi.org/10.5120/ijca2016910717.

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Jarrett-Williams, Tianna. « Student registration on NMC database is fair and sensible ». Nursing Standard 25, n^o 49 (10 août 2011) : 33. http://dx.doi.org/10.7748/ns.25.49.33.s47.

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Ogawa, Atsunori, Yoshikazu Yamaguchi et Shoichi Matsunaga. « Children's speech recognition using elementary-school-student speech database ». Systems and Computers in Japan 36, n^o 12 (2005) : 33–42. http://dx.doi.org/10.1002/scj.20355.

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Sulaeman, Fietri Setiawati, et Mufti Ahmad Rilmansyah. « Aplikasi Data Mining Untuk Memprediksi Kelulusan Mahasiswa Berbasis Web Menggunakan Algoritma C45 ». Jurnal Media Teknik dan Sistem Industri 5, n^o 1 (2 avril 2021) : 41. http://dx.doi.org/10.35194/jmtsi.v5i1.1395.

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The Informatics Engineering Study Program, Faculty of Engineering, Suryakancana University in carrying out its operations stores its data in a database consisting of student data, lecturer data, employee data, grade data, student achievement data, and data on the number of student graduations each year, as well as various other data related to all operations of the Faculty of Engineering and Suryakancana University. One of the uses of data in databases is to support decision-making activities, so a data mining technique is needed to analyze data in order to produce information early on whether the student will graduate on time or not by using a data mining application to predict student graduation using the C45 algorithm. Program Studi Teknik Informatika Fakultas Teknik Universitas Suryakancana dalam menjalankan operasionalnya menyimpan datanya dalam sebuah database yang terdiri dari data mahasiswa, data dosen, data pegawai, data nilai, data prestasi mahasiswa, dan data jumlah kelulusan mahasiswa tiap tahun, serta berbagai data lainnya yang berhubungan dengan seluruh operasional Fakultas Teknik dan Universitas Suryakancana. Pemanfaatan data dalam database salah satunya adalah untuk menunjang kegiatan pengambilan keputusan, sehingga diperlukan suatu teknik data mining untuk menganalisis data agar dapat menghasilkan suatu informasi secara dini apakah mahasiswa itu lulus tepat waktu atau tidak dengan menggunakan aplikasi data mining untuk memprediksi kelulusan mahasiswa menggunakan algoritma C45.

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Dæhli, Olav, Bjørn Kristoffersen, Per Lauvås jr et Tomas Sandnes. « Exploring Feedback and Gamification in a Data Modeling Learning Tool ». Electronic Journal of e-Learning 19, n^o 6 (25 novembre 2021) : pp559–574. http://dx.doi.org/10.34190/ejel.19.6.2501.

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Data modeling is an essential part of IT studies. Learning how to design and structure a database is important when storing data in a relational database and is common practice in the IT industry. Most students need much practice and tutoring to master the skill of data modeling and database design. When a student is in a learning process, feedback is important. As class sizes grow and teaching is no longer campus based only, providing feedback to each individual student may be difficult. Our study proposes a tool to use when introducing database modeling to students. We have developed a web-based tool named LearnER to teach basic data modeling skills, in a collaborative project between the University of South-Eastern Norway (USN) and Kristiania University College (KUC). The tool has been used in six different courses over a period of four academic years. In LearnER, the student solves modeling assignments with different levels of difficulty. When they are done, or they need help, they receive automated feedback including visual cues. To increase the motivation for solving many assignments, LearnER also includes gamifying elements. Each assignment has a maximum score. When students ask for help, points are deducted from the score. When students manage to solve many assignments with little help, they may end up at a leaderboard. This paper tries to summarize how the students use and experience LearnER. We look to see if the students find the exercises interesting, useful and of reasonable difficulty. Further, we investigate if the automated feedback is valuable, and if the gamifying elements contribute to their learning. As we have made additions and refinements to LearnER over several years, we also compare student responses on surveys and interviews during these years. In addition, we analyze usage data extracted from the application to learn more about student activity. The results are promising. We find that student activity increases in newer versions of LearnER. Most students report that the received feedback helps them to correct mistakes when solving modeling assignments. The gamifying elements are also well received. Based on LearnER usage data, we find and describe typical errors the students do and what types of assignments they prefer to solve.

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Wiley, Emily A., et Nicholas A. Stover. « Immediate Dissemination of Student Discoveries to a Model Organism Database Enhances Classroom-Based Research Experiences ». CBE—Life Sciences Education 13, n^o 1 (mars 2014) : 131–38. http://dx.doi.org/10.1187/cbe.13-07-0140.

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Use of inquiry-based research modules in the classroom has soared over recent years, largely in response to national calls for teaching that provides experience with scientific processes and methodologies. To increase the visibility of in-class studies among interested researchers and to strengthen their impact on student learning, we have extended the typical model of inquiry-based labs to include a means for targeted dissemination of student-generated discoveries. This initiative required: 1) creating a set of research-based lab activities with the potential to yield results that a particular scientific community would find useful and 2) developing a means for immediate sharing of student-generated results. Working toward these goals, we designed guides for course-based research aimed to fulfill the need for functional annotation of the Tetrahymena thermophila genome, and developed an interactive Web database that links directly to the official Tetrahymena Genome Database for immediate, targeted dissemination of student discoveries. This combination of research via the course modules and the opportunity for students to immediately “publish” their novel results on a Web database actively used by outside scientists culminated in a motivational tool that enhanced students’ efforts to engage the scientific process and pursue additional research opportunities beyond the course.

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Gou, Ming, et Jing Yang. « Construction Research of Exercise Prescription Expert System ». Advanced Materials Research 718-720 (juillet 2013) : 2422–26. http://dx.doi.org/10.4028/www.scientific.net/amr.718-720.2422.

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The test database of students' health is being analyzed with the information processing tool of artificial intelligence Expert System in order to create a scientific model of students Exercise Prescription in the end. It aims at starting with studying every student to realize an optimized development for the quality potential of every student.

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Wang, Wei, Lan Bai et Li Zhu. « Student Apartment Management System Design and Implementation Based on ASP ». Applied Mechanics and Materials 687-691 (novembre 2014) : 2234–38. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.2234.

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Based on the analysis of student apartment management system requirements, through the whole process of introduction of demand analysis, database design, overall design, detailed design, from the basic concept of ASP technology and SQL Server, under DreamWeaver development environment, this paper designed modules such as system architecture, development platform and database design strategy, built a student apartment management system based on ASP, which fundamentally changed the existing operation mode and service mode, realized the intelligent management of students apartment, and promoted the standardization and high efficiency of management.

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Suraya, Suraya, et Muhammad Sholeh. « Designing and Implementing a Database for Thesis Data Management by Using the Python Flask Framework ». International Journal of Engineering, Science and Information Technology 2, n^o 1 (30 octobre 2021) : 9–14. http://dx.doi.org/10.52088/ijesty.v2i1.197.

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This study aims to implement the database design used in thesis data processing using Flask. The results of the database design produce four tables, namely the lecturer table is used to store lecturer data, the student table is used to store student data, the title of thesis table is used to store data related to student thesis and the guidance table contains history during guidance with the supervisor, The design of the thesis data processing database was developed using Flask. Flask is a web framework written in Python. Flask serves as the application framework and the interface of the web-based flask application. In this research, the methodology used is to implement database development which consists of system analysis, logical design, physical design and implementation. The database design methodology is carried out by 1. Building a local conceptual data design based on user views, 2. Building and validating local logical data models, 3. Building and validating logical data models, 4. Translating logical data models for the database management system, 5. Designing and implementation of physical representation. The results show that the process of creating a thesis data management database can be done using the Flask framework. The development process using the flask framework includes the process of creating databases, tables and reading, adding, repairing and deleting data. In making the application, the application is divided into 2, namely the application used for database management and the application used to display website-based results that are used to display the results of data processing from the application. Implementation of data structures in the database design and applications used include programming language: Python 3.7.0, framework for displaying web-based data: Flask 1.1.2, and database management system using SQLite.

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Bahat Nauli, Sukarno, Berlin P. Sitorus et Agung Priambodo. « DATABASE DESIGN FOR PRIVATE HIGH SCHOOL ACADEMIC INFORMATION SYSTEM ». International Journal of Advanced Research 10, n^o 05 (31 mai 2022) : 826–33. http://dx.doi.org/10.21474/ijar01/14778.

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This study aims to design a database for a private high school academic information system. This type of research is action research. The development of Information Technology, can support the creation of good management in high school. Information technology is useful so that management in the organization can run and work well. At this time, private high schools do not yet have a database that is able to provide information on student and teacher services, where the database is needed for the academic information system. Therefore, it is necessary to design a database for private high school academic information systems so that the table design is as follows: Student Tables, Teacher Tables, Room Tables, Schedule Tables, Class Tables, Subject Tables, Grades Tables, and Admin Tables and also designed Also the Teacher Login menu, Student Login, Administrator Login, and Student value input menu, Teacher data input menu, Student data input menu, teaching schedule menu, and news management menu. The results of this database design are very useful for private high schools.

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Zhou, Jieqiong, Zhenhua Wei, Fengzhen Jia et Wei Li. « Course Ideological and Political Teaching Platform Based on the Fusion of Multiple Data and Information in an Intelligent Environment ». Journal of Sensors 2021 (31 juillet 2021) : 1–10. http://dx.doi.org/10.1155/2021/1558360.

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In the current teaching of politics, teachers still focus on the cultivation of the basic intelligence of students’ language intelligence, and it is easy to ignore the cultivation of other intelligences that affect the overall development of students. This research mainly discusses the design of curriculum ideological and political teaching platform based on the fusion of multiple data and information in an intelligent environment. This research adopts the MVC architecture, and the web application developed based on the MVC (Model View Controller) architecture pattern is easier to complete the realization of multiple controllers. The front desk ideological and political teaching teacher module includes the login system. In addition, the teacher can view the test status of a specific student and can also pay attention to the total intelligence of all students who have been tested. The process of the student test is to enter the correct account and password to log in to the system and then perform the test. After the test, the test result can be viewed, and the personal information can be maintained at the same time. In addition, the personal login password can be modified. The existence of the database is to ensure that the data is correct and effective. This system uses MySql to design the database, and the name of the database is braintest_db. The data table in relational database is the main object of storing and managing data, and it is also an important task of database design. This system has designed three kinds of user logins, namely, administrator, student, and teacher, and login can be realized according to the account number and password. Among them, teacher’s participation is by inquiring about students’ test situation, paying attention to students’ multiple intelligences, and teaching students in accordance with their aptitude. In addition, the main object of this test is students, and the analysis of multiple intelligences is realized through student tests. Students are vitally physical objects that can be tested and searched for results. In the study, 20% of the students both learn the basic content of the platform and use the forum. This research will help improve students’ literacy in an all-round way.

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Miller, Louise. « An Internet-based Accounting Information Systems Project ». American Journal of Business Education (AJBE) 5, n^o 6 (30 octobre 2012) : 743–52. http://dx.doi.org/10.19030/ajbe.v5i6.7396.

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This paper describes a student project assignment used in an accounting information systems course. We are now truly immersed in the internet age, and while many required accounting information systems courses and textbooks introduce database design, accounting software development, cloud computing, and internet security, projects involving the actual integration of these topics with accounting concepts in a single comprehensive student project on the internet are uncommon. The project described gives students experience and knowledge of an internet-based accounting system using an online database. Although this project was used in an accounting information systems course, it could also be utilized in other courses such as introductory database management systems, advanced web design, financial technology systems, or introductory information technology. The project can be easily modified to align with the experience and sophistication of the students taking the course.

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Chen, Yingjuan. « The Application of Database and Big Data Technology in College Ideological and Political Work and Student Work ». MATEC Web of Conferences 365 (2022) : 01031. http://dx.doi.org/10.1051/matecconf/202236501031.

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In the environment of Big Data, database and big data technology are widely used, which provides intellectual impetus and technical support for the innovation of ideological and political work and student work in colleges and universities. In order to innovate the ideological and political system of colleges and universities and optimize the working mode of students, it is necessary to take the advantage of the application of database and big data technology as the basis, and to innovate and reconstruct the ideological and political system of colleges and universities and the working mode of students, we will comprehensively improve the quality of education for our people. Based on the advantages of the application of database and big data technology in ideological and political work and student work in colleges and universities, this paper puts forward some concrete application strategies.

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Raj, Ankesh, et Mohd Tajammul. « Cloud-Based System for Identifying Vaccinated Individual ». International Journal for Research in Applied Science and Engineering Technology 10, n^o 4 (30 avril 2022) : 350–57. http://dx.doi.org/10.22214/ijraset.2022.41237.

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Abstract: In Covid's predicament Many colleges, companies, healthcare facilities, and universities have only permitted students who have obtained vaccinations, as required by Indian government regulations. Even so, checking all of the pupils' covid vaccinations one by one will take a long time, needing more than two or three employees. As a result, the project's mission is to support the institution by delivering an automated status that shows whether or not student has been vaccinated[30]. Organizations will use a web app to collect information on the immunisation status of students and workers. Students or staff members will be required to input their name, phone number, USN number, and whether or not they have indeed been vaccinated, as well as a backend end for face recognition in raspberry pi with a camera and database as MYSQL database. Abstract. Keywords: AWS services, MySQL databases, facial recognition, PCA, LDA,

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Liu, Yu Lu, Jiang Xiong et Yong Jian Zhao. « The Research and Design of Student Psychology Predicting System Based on Spatio-Temporal Database ». Applied Mechanics and Materials 58-60 (juin 2011) : 1716–20. http://dx.doi.org/10.4028/www.scientific.net/amm.58-60.1716.

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In colleges and universities, as amount of students has become more and more and their psychology have also become more and more complicate, additionally, psychological consultation work is also very finite. Though higher education administrators have already adopted some efficient artificial monitor to manage their students, the structural contradictions of student management have become more and more obvious than before. In order to deal with complex, covert and exceeding spatio-temporal psychology of these students, we should urgently use an advanced technology to design a kind of student psychology predicting system based on spatio-temporal database. Via the system the educational management can mainly supervise and actively prevent instead of dealing with accident passively. According to the practical requirements of educational management, firstly, the system creates students’ spatial trip information database, which mainly includes students’ spatial location, behavior, psychological dynamic and time. And then it uses association analysis technology to extract their relationship among student’s spatial location, behavior, psychological dynamic and time. Finally, the system will provide predicating association rules for higher education administrator. Via these rules education administrator will draw up some measures to supervise students’ psychological dynamic and actively prevent violent and passive behavior.

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Ayuliana, Ayuliana, Neva Neva, Novia Susanti et Fahreza Fahreza. « Pemanfaatan Teknologi Informasi untuk Sistem Informasi Manajemen Sekolah : Studi Kasus pada SMA 78 Jakarta ». ComTech : Computer, Mathematics and Engineering Applications 2, n^o 2 (1 décembre 2011) : 1172. http://dx.doi.org/10.21512/comtech.v2i2.2931.

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Databases to manage data related to student and school are required to support the implemented information technology applications. This study aims to analyze and design a database system that supports the school management information systems, especially for SMA 78 Jakarta as a case study. Included in the system are the students and teachers data management, the management of school tuition, and the management of learning materials and assignments for students. This research uses data collection methods, with a literature study, questionnaires, interviews, observation, and studying the data obtained from the school. Analyses were performed on the results of questionnaires, interviews and observations to identify user needs. The design used conceptual and logical database system design. The result achieved is the application for school management information system that can be used by students, teachers and school officials in supporting learning process and school administration. The developed application is expected to be a medium for students and teachers to share information in teaching and learning activities and administrative processes.

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Miller, Louise. « An Integrative Business Case Utilizing An Online Database ». Journal of Business Case Studies (JBCS) 10, n^o 1 (31 décembre 2013) : 21–32. http://dx.doi.org/10.19030/jbcs.v10i1.8326.

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This paper describes a unique business case that is an integration of topics in accounting information systems, managerial accounting, economics, and marketing into a single comprehensive student project on the internet. The project described gives students experience using an online database and php coding to interact with this database. The problem also involves demand functions and profit maximization with elementary calculus. The information system used is a website that assists a company employee in setting prices of products for optimal profit, given information concerning demand function parameters, costs, and marketing options. Although this project was used in an accounting information systems course, it could also be utilized in other courses such as introductory database management systems, managerial accounting, or introductory information technology. The project can be easily modified to align with the experience and sophistication of the students.

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