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Who Should I Help Next? Simulation of Office Hours Queue Scheduling Strategy in a CS2 Course

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Title: Who Should I Help Next? Simulation of Office Hours Queue Scheduling Strategy in a CS2 Course
Language: English
Authors: Zhikai Gao, Gabriel Silva de Oliveira, Damilola Babalola, Collin Lynch, Sarah Heckman
Source: International Educational Data Mining Society. 2024.
Availability: International Educational Data Mining Society. e-mail: admin@educationaldatamining.org; Web site: https://educationaldatamining.org/conferences/
Peer Reviewed: Y
Page Count: 7
Publication Date: 2024
Sponsoring Agency: National Science Foundation (NSF)
Contract Number: 1821475
Document Type: Speeches/Meeting Papers
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Teacher Responsibility, Educational Strategies, Higher Education, Computer Science Education, Help Seeking, Problem Solving, Teacher Student Relationship, College Faculty, Working Hours, Serial Ordering, Simulation
Abstract: Promptly and properly addressing students' help requests during office hours is a critical challenge for large CS courses. With a large amount of help requests, instructors often find themselves facing a long office hours queue and need to decide who to help next. Most instructors typically select the earliest arrival students (FCFS), while some instructors prioritize students who haven't been helped recently to ensure fairness. To better understand and quantify how those different strategies affect the queue and students' experience, we simulated the office hours queue with four different strategies under three different queue loads using the students' problem-solving behaviors as a guide. Our simulation results show that when the queue is relaxed, different strategies make no difference. When the queue is busy or normal, prioritizing students who haven't helped today is the best strategy. Moreover, we also discussed how to develop a strategy based on students' code commit status, and corresponding simulation results indicate those strategies have no impact on the queue. [For the complete proceedings, see ED675485.]
Abstractor: As Provided
Entry Date: 2025
Accession Number: ED675557
Database: ERIC
FullText Text:
  Availability: 0
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  Data: Who Should I Help Next? Simulation of Office Hours Queue Scheduling Strategy in a CS2 Course
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  Data: Promptly and properly addressing students' help requests during office hours is a critical challenge for large CS courses. With a large amount of help requests, instructors often find themselves facing a long office hours queue and need to decide who to help next. Most instructors typically select the earliest arrival students (FCFS), while some instructors prioritize students who haven't been helped recently to ensure fairness. To better understand and quantify how those different strategies affect the queue and students' experience, we simulated the office hours queue with four different strategies under three different queue loads using the students' problem-solving behaviors as a guide. Our simulation results show that when the queue is relaxed, different strategies make no difference. When the queue is busy or normal, prioritizing students who haven't helped today is the best strategy. Moreover, we also discussed how to develop a strategy based on students' code commit status, and corresponding simulation results indicate those strategies have no impact on the queue. [For the complete proceedings, see ED675485.]
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      – Text: English
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        PageCount: 7
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      – SubjectFull: Teacher Responsibility
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      – SubjectFull: Educational Strategies
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      – SubjectFull: Higher Education
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      – SubjectFull: Computer Science Education
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      – SubjectFull: Help Seeking
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      – SubjectFull: Problem Solving
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      – SubjectFull: Teacher Student Relationship
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      – SubjectFull: Working Hours
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      – SubjectFull: Serial Ordering
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      – SubjectFull: Simulation
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              Y: 2024
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