Academic literature on the topic 'Exam Scheduling'

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Journal articles on the topic "Exam Scheduling"

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Vu, Linh Nguyen Mai, Hieu Chi Tran, and Anh Thi Tram Nguyen. "A study on constructing an efficient examination scheduling system." HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE - ENGINEERING AND TECHNOLOGY 14, no. 1 (2024): 52–64. http://dx.doi.org/10.46223/hcmcoujs.tech.en.14.1.2920.2024.

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The objective of this study is to investigate the final exam scheduling process at the Ho Chi Minh City Open University and develop an automated exam scheduling application. Our primary objectives are to prevent students from having conflicting exam schedules and to ensure that no student has to take more than two exams on the same day. This research focuses on applying graph coloring algorithms to the problem of automatic exam scheduling. Our research findings indicate that the graph coloring algorithm is highly effective for automated exam scheduling. This study has the potential to expand a
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Alrawashdeh, Tawfiq, Khaldun G. Al-Moghrabi, and Ali M. Al-Ghonmein. "A profiling-based algorithm for exams’ scheduling problem." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 5 (2023): 5483. http://dx.doi.org/10.11591/ijece.v13i5.pp5483-5490.

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<span lang="EN-US">Typically, the problem of scheduling exams for universities aims to determine a schedule that satisfies logistics constraints, including the number of available exam rooms and the exam delivery mode (online or paper-based). The objective of this problem varies according to the university’s requirements. For example, some universities may seek to minimize operational costs, while others may work to minimize the schedule's length. Consequently, the objective imposed by the university affects the complexity of the problem. In this study, we present a grouping-based approa
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Blanks, Lindsey, Elizabeth Frakes, Koby Hinnant, Swathi Samuel, and John Dulin. "An Optimization Approach to the Make-Up Final Exam Scheduling Problem with Unique Constraints." Industrial and Systems Engineering Review 8, no. 1 (2021): 50–58. http://dx.doi.org/10.37266/iser.2020v8i1.pp50-58.

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Final exam scheduling is typically a simple task. Exam scheduling at the United States Air Force Academy, however, is unique in that it must abide by a number of institutional constraints. Some include: ensuring all 4,000 cadets complete their exams within one week, assigning a longer time block for final exams than regular class meetings, and limiting the number of exam periods per day. The Dean of Faculty Registrar’s office must also accommodate cadet absences during the scheduled final exam week on short notice. Addressing these issues is currently a reactive process—cadet absences are iden
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Apriantoni, Rois, Virgiawan Virgiawan, and Argiyan Dwi Pritama. "Models and Features of Student Exam Scheduling Services Using Website Information Technology." Journal of Multimedia Trend and Technology 1, no. 3 (2022): 1–7. https://doi.org/10.35671/jmtt.v1i3.14.

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One indicator of student progress in a tertiary institution is the implementation of seminar exams and one of the implementation techniques is seminar exams. In the current seminar exam scheduling system, the scheduling process still uses Microsoft Excel which makes sending and receiving data less real-time. The confirmation process carried out by the study program for the examining lecturers also seemed to be burdensome for the study program because the department was required to contact the selected lecturers one by one. Therefore, this study aims to create an information system for scheduli
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Yanwari, Muhammad Irwan, Anton Satria Prabuwono, Tri Raharjo Yudantoro, Nurseno Bayu Aji, Wiktasari, and Slamet Handoko. "Priority Scheduling Implementation for Exam Schedule." Indonesian Journal of Information Systems 5, no. 2 (2023): 80–89. http://dx.doi.org/10.24002/ijis.v5i2.6871.

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Scheduling is a common problem that has been raised for a long time. Many algorithms have been created for this problem. Some algorithms offer flexibility in terms of constraints and complex operations. Because of that complexity, many algorithms will need huge computation resources and execution time. A platform like a web application has many restrictions such as execution time and computation resources. A complex algorithm is not suited for the web application platform. Priority scheduling is a scheduling algorithm based on a priority queue. Every schedule slot will produce a queue based on
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Lotfi, Vahid, and Robert Cerveny. "A Final-Exam-Scheduling Package." Journal of the Operational Research Society 42, no. 3 (1991): 205. http://dx.doi.org/10.2307/2583309.

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Di Pietro, Giorgio. "EXAM SCHEDULING AND STUDENT PERFORMANCE." Bulletin of Economic Research 65, no. 1 (2012): 65–81. http://dx.doi.org/10.1111/j.1467-8586.2011.00423.x.

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Lotfi, Vahid, and Robert Cerveny. "A Final-Exam-Scheduling Package." Journal of the Operational Research Society 42, no. 3 (1991): 205–16. http://dx.doi.org/10.1057/jors.1991.42.

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Meghana N. Vyas. "Exam Scheduling using Graph Coloring." Journal of Information Systems Engineering and Management 10, no. 24s (2025): 10–15. https://doi.org/10.52783/jisem.v10i24s.3868.

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Throughout the academic year, educational institutions use an official and structured document called an academic calendar to communicate and arrange important dates and events. It functions as a thorough timetable that delineates the exact dates of terms, semesters, and sessions that are dedicated to educational activities. The dates of the semesters and terms, deadlines for registration, class schedules, exam periods, holidays and breaks, dates of graduation, special events and academic activities, administrative deadlines etc. are all commonly included in the academic calendar. A crucial co
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Vershinina, N. "DEVELOPMENT OF AN INFORMATION SYSTEM FOR THE EXAM ROOM TIMETABLING WITH CONSTRAINTS." POLISH JOURNAL OF SCIENCE, no. 50 (May 17, 2022): 77–81. https://doi.org/10.5281/zenodo.6557517.

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The process of planning and organizing exams at universities is still relevant today. Exam scheduling is one of the problems of combinatorics, in which there is no exact algorithm that can tackle the issue with the optimal solution and minimum time. In addition to searching for an algorithm for scheduling, an application with a userfriendly interface is needed. This study will look at some algorithms that optimize the selection of examination rooms, as well as software products that help in scheduling.
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Dissertations / Theses on the topic "Exam Scheduling"

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Graham, Adam J. "Resource Limited Testing Center Scheduling For a Web-Based Testing Application." DigitalCommons@USU, 2012. http://digitalcommons.usu.edu/etd/1150.

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Testing centers are a useful tool to help instructors deliver computer-based tests, but computers resources are expensive and therefore limited. This paper describes a method by which testing center(s) may use iNetTest, a web-based computer aided testing system, to house and administer exams. The algorithm discussed in this paper makes it possible for instructors to schedule tests for a given time frame while ensuring that enough computer resources will be available to all of the students. The algorithm prevents the testing center from getting overwhelmed with students while attempting to maxi
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Underwood, Arthur. "A Comparative Study of the Effect of Block Scheduling and Traditional Scheduling on Student Achievement for the Florida Algebra 1 End-of-Course Examination." Doctoral diss., University of Central Florida, 2014. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/6374.

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The focus of this research was on the effect of school schedules on student achievement for ninth-grade students in a Florida school district. Data were collected from two central Florida high schools from the 2011-2012 and 2012-2013 school years. Five one-way analyses of covariance (ANCOVA) were performed to ascertain if there was any interaction between school schedules and student achievement. Examined were the interactions (a) between schedule and schools, (b) schedule and male students, (c) schedule and female students, (d) schedule and Black students, and (e) schedule and Hispanic st
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Books on the topic "Exam Scheduling"

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LIFE, Prep FOR. Latest Pmi-Sp- Scheduling Professional Exam Questions. Independently Published, 2019.

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DACCACHE, Anthony. Pmi-Sp: Project Scheduling Professional - Practice Exam. Independently Published, 2021.

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Yeomans, Daniel C. Passing the PMI Scheduling Professional Certification Exam the First Time! Dog Ear Publishing, LLC, 2017.

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Go Be Kind Study Planners. Daily Study Planner: Elementary Scheduling Academic Planner for Students, Highschool, College and Faculty Exam Preparation, Study Goal Tracker, ... for Kids, Adults, Girls and Women Gift v7. Go Be Kind Study Planners, 2021.

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Maison, Tai. Student Planner 2021-2022: Academic Notebook Calendar Year August-June Organizer Monthly at-A-Glance, Weekly Pages with Grade, Assignments, Exams Tracker, Class Scheduling, Password Log, Contact List for Teen Boys Gamer Control 6x9 Inches Blue Matte Cover. Independently Published, 2021.

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Book chapters on the topic "Exam Scheduling"

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Krnac, Lubos. "Tasks and Scheduling." In Pivotal Certified Spring Enterprise Integration Specialist Exam. Apress, 2015. http://dx.doi.org/10.1007/978-1-4842-0793-2_1.

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Wu, Dongfeng. "Scheduling the First Exam for Asymptomatic Individuals." In Probability Modeling and Statistical Inference in Cancer Screening. Chapman and Hall/CRC, 2023. http://dx.doi.org/10.1201/9781003404125-6.

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Flowers, Steve. "Scheduling and Taking the DP-420 Exam." In Certification Study Companion Series. Apress, 2023. http://dx.doi.org/10.1007/978-1-4842-9547-2_1.

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Najafabadi, Maryam Khanian, and Azlinah Mohamed. "Incremental Software Development Model for Solving Exam Scheduling Problems." In Communications in Computer and Information Science. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-3441-2_17.

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Mixer, Mark, Steven Morrow, and Lev Sukherman. "Nested Fitness Functions in Genetic Algorithms for Exam Scheduling." In Algorithms for Intelligent Systems. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-8074-7_22.

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Wu, Dongfeng. "Scheduling the Upcoming Exam for Individuals with a Screening History." In Probability Modeling and Statistical Inference in Cancer Screening. Chapman and Hall/CRC, 2023. http://dx.doi.org/10.1201/9781003404125-7.

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Bao, Yongqiang, Huiying Xu, and Chenlu Qiu. "An Appointment Scheduling Method for China’s Driving License Exam Using Network Flow Modelling." In Proceedings of the Second International Conference on Intelligent Transportation. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2398-9_14.

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Esteso, Ana, M. M. E. Alemany, Elena Tarín, and Ángel Ortiz. "Optimisation Models for Scheduling Extraordinary University Exams with a Minimum Rest Time Between Consecutive Exams." In Springer Proceedings in Mathematics & Statistics. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-47058-5_9.

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Teja Santosh, D., M. Raghava, Jyothirmai Joshi, Ch V. S. Satyamurty, and Ch Ram Mohan. "Efficient Exams Scheduling in Uncertain Conditions: A Graph Neural Network and Deep Q-Learning for Value Iteration Approach." In Lecture Notes in Computer Science. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-0695-5_18.

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Ivančević Vladimir, Knežević Marko, and Luković Ivan. "A Course Exam Scheduling Approach based on Data Mining." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2014. https://doi.org/10.3233/978-1-61499-405-3-132.

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We propose an exam scheduling approach to deal with problems that may appear in some oral exams, such as the cases when student turnout is considerably above or below expectation. As opposed to similar approaches, we focus on predicting the number of students applying for an exam by performing data mining on student records. Our predictive model considers previous student scores, attendance records, and past exam attempts. We evaluate the prediction segment of this approach on a real-world data set containing university records for a pair of database-related courses.
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Conference papers on the topic "Exam Scheduling"

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Almaslami, Ali, Mohammad Alsaad, and Abdullah Alqarne. "Exam Scheduling Conflict Optimization." In 8th North American Conference on Industrial Engineering and Operations Management. IEOM Society International, 2023. http://dx.doi.org/10.46254/na8.20230322.

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Shatnawi, Ali, Mohammad Fraiwan, and Hadi S. Al-Qahtani. "Exam scheduling: A case study." In 2017 Ninth International Conference on Advanced Computational Intelligence (ICACI). IEEE, 2017. http://dx.doi.org/10.1109/icaci.2017.7974498.

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Gashgari, Raneem, Lamees Alhashimi, Raed Obaid, Thangam Palaniswamy, Lujain Aljawi, and Abrar Alamoudi. "A Survey on Exam Scheduling Techniques." In 2018 1st International Conference on Computer Applications & Information Security (ICCAIS). IEEE, 2018. http://dx.doi.org/10.1109/cais.2018.8441950.

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Zhu, Haibin, Zhe Yu, and Youssou Gningue. "Solving the Exam Scheduling Problem with GRA+." In 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2020. http://dx.doi.org/10.1109/smc42975.2020.9283074.

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Ibrahim, Rosziati, Mohanavali Sithambranathan, Kohani Mohan, Rebekah Dason David, and Jahari Abdul Wahab. "Exam scheduling system using graph coloring algorithm." In THE 11TH INTERNATIONAL CONFERENCE ON THEORETICAL AND APPLIED PHYSICS: The Spirit of Research and Collaboration Facing the COVID-19 Pandemic. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0124043.

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Mixer, Mark, Steven Morrow, and Lev Sukherman. "Two genetic algorithms for final exam scheduling." In ACMLC 2024: 2024 6th Asia Conference on Machine Learning and Computing. ACM, 2024. https://doi.org/10.1145/3690771.3690798.

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Cheong, C. Y., K. C. Tan, and B. Veeravalli. "Solving the Exam Timetabling Problem via a Multi-Objective Evolutionary Algorithm - A More General Approach." In 2007 IEEE Symposium on Computational Intelligence in Scheduling. IEEE, 2007. http://dx.doi.org/10.1109/scis.2007.367685.

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Erdős, Szilvia, and Bence Kővári. "Genetic Algorithm Based Solution for Final Exam Scheduling." In MultiScience - XXXIII. microCAD International Multidisciplinary Scientific Conference. University of Miskolc, 2019. http://dx.doi.org/10.26649/musci.2019.021.

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Wahaishi, AbdulMutalib M., and Raafat O. Aburukba. "An Agent-Based Personal Assistant for exam scheduling." In 2013 World Congress on Computer and Information Technology (WCCIT). IEEE, 2013. http://dx.doi.org/10.1109/wccit.2013.6618660.

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Ibrahim, Rosziati, Ammar Aminuddin Bani Amin, and Mohd Zainuri Saringat. "The Z Specification for Exam Scheduling System (ESS) thru Genetic Algorithm." In 2020 International Conference on Computing and Information Technology (ICCIT-1441). IEEE, 2020. http://dx.doi.org/10.1109/iccit-144147971.2020.9213749.

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