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Yunsung Kim; Jadon Geathers; Chris Piech – International Educational Data Mining Society, 2024
"Stochastic programs," which are programs that produce probabilistic output, are a pivotal paradigm in various areas of CS education from introductory programming to machine learning and data science. Despite their importance, the problem of automatically grading such programs remains surprisingly unexplored. In this paper, we formalize…
Descriptors: Grading, Automation, Accuracy, Programming
Qinjin Jia; Jialin Cui; Ruijie Xi; Chengyuan Liu; Parvez Rashid; Ruochi Li; Edward Gehringer – International Educational Data Mining Society, 2024
Feedback on student assignments plays a crucial role in steering students toward academic success. To provide feedback more promptly and efficiently, researchers are actively exploring the use of large language models (LLMs) to automatically generate feedback on student artifacts. Although the generated feedback is highly fluent, coherent, and…
Descriptors: Feedback (Response), Assignments, Artificial Intelligence, Accuracy
Luke Parker; Chris Carter; Alice L. Karakas; Jane A. Loper; Ahmad Sokkar – AERA Online Paper Repository, 2024
In 2023, ChatGPT emerged as a transformative force in education, igniting widespread interest across academia. This paper rigorously investigates ChatGPT's impact on higher education using a mixed-methods approach, comparing its (ChatGPT) performance with real students' work in undergraduate assignments. Key findings reveal ChatGPT consistently…
Descriptors: Artificial Intelligence, Technology Education, Higher Education, Influence of Technology
Chalioti, Evangelia – Journal of Economic Education, 2022
The author of this article describes the content of her course titled "Economics of Artificial Intelligence and Innovation." The course is offered by the Department of Economics of Yale University at a senior undergraduate level. The author also teaches this course at the MBA program of the Yale School of Management in another format.…
Descriptors: Course Content, Economics, Artificial Intelligence, Innovation
Kaden Hart; Christopher M. Warren; Seth Poulsen; John Edwards – International Educational Data Mining Society, 2024
We report on a study in which we examined the work habits of six students who agreed to use do not disturb on their phone while working on programming assignments. Two students tried do not disturb, and quickly quit using it. Three out of four remaining student participants were more productive while using do not disturb when working on their…
Descriptors: Telecommunications, Handheld Devices, Computer Use, Student Behavior
Irma E. Stevens – North American Chapter of the International Group for the Psychology of Mathematics Education, 2023
Researchers have recommended using tasks that support students in reasoning covariationally to build productive meanings for graphs, rates of change, exponential growth, and more. However, not many recent studies have been done to identify how students reason when engaging in covariational reasoning tasks in undergraduate precalculus courses. In…
Descriptors: Undergraduate Students, College Mathematics, Calculus, Graphs
Ahmad F. Saad – Online Submission, 2023
In modern school education, the integration of technology has revolutionized traditional teaching methods and introduced innovative approaches to curriculum design. Class blogs and student blogs have emerged as dynamic web 2.0 tools that hold immense potential to transform the learning experience in schools. This abstract explores the utilization…
Descriptors: Electronic Publishing, Web Sites, Educational Technology, Program Implementation
Mingli Han – International Society for Technology, Education, and Science, 2023
Teaching robotics courses online is challenging due to the complexity of the interdisciplinary topics involved. One of the most challenging topics is 3D coordinate transformations. Students often struggle to grasp the concept of 3D coordinate transformations and their relevance to real-world robotic applications. This paper applies the Scholarship…
Descriptors: Self Evaluation (Individuals), Robotics, Assignments, Computer Software
Malik, Ali; Wu, Mike; Vasavada, Vrinda; Song, Jinpeng; Coots, Madison; Mitchell, John; Goodman, Noah; Piech, Chris – International Educational Data Mining Society, 2021
Access to high-quality education at scale is limited by the difficulty of providing student feedback on open-ended assignments in structured domains like programming, graphics, and short response questions. This problem has proven to be exceptionally difficult: for humans, it requires large amounts of manual work, and for computers, until…
Descriptors: Grading, Accuracy, Computer Assisted Testing, Automation
Herner-Patnode, Leah; Lee, Hea-Jin – AERA Online Paper Repository, 2023
The education of preservice teachers is a complicated process. Working toward a disposition that is inclusionary versus exclusionary is a logical and worthy goal, but that means teacher educators acknowledge the demographics and mindset of those involved in this process. The researchers believe culturally responsive teaching should be woven into…
Descriptors: Mathematics Instruction, Teaching Methods, Preservice Teachers, Teacher Education Programs
Wang, Yuancheng; Luo, Nanyu; Zhou, Jianjun – International Educational Data Mining Society, 2022
Doing assignments is a very important part of learning. Students' assignment submission time provides valuable information on study attitudes and habits which strongly correlate with academic performance. However, the number of assignments and their submission deadlines vary among university courses, making it hard to use assignment submission…
Descriptors: College Students, Assignments, Time, Scheduling
Gabbay, Hagit; Cohen, Anat – International Educational Data Mining Society, 2023
In MOOCs for programming, Automated Testing and Feedback (ATF) systems are frequently integrated, providing learners with immediate feedback on code assignments. The analysis of the large amounts of trace data collected by these systems may provide insights into learners' patterns of utilizing the automated feedback, which is crucial for the…
Descriptors: MOOCs, Feedback (Response), Teaching Methods, Learning Strategies
Hoffman, Heather J.; Elmi, Angelo F. – Journal of Statistics and Data Science Education, 2021
Teaching students statistical programming languages while simultaneously teaching them how to debug erroneous code is challenging. The traditional programming course focuses on error-free learning in class while students' experiences outside of class typically involve error-full learning. While error-free teaching consists of focused lectures…
Descriptors: Statistics Education, Programming Languages, Troubleshooting, Coding
Kimberlee Carter; Camila Redondo – OTESSA Conference Proceedings, 2022
Academic integrity issues in higher education have been reported as increasing as the pandemic and need to learn remotely continues. The use of homework sites like Chegg, that provide learners with answers to tests and assignments increased significantly through 2019 and 2020 (Walsh et al., 2021). Open advocates have been espousing the benefits of…
Descriptors: Open Educational Resources, Student Evaluation, Alternative Assessment, Assignments
Whalen, D. Joel – Business and Professional Communication Quarterly, 2021
This article features 12 teaching innovations presented at the 2020 Association for Business Communication (ABC) annual international conference held online due to the global COVID-19 pandemic. Readers can explore the classroom methods designed to enhance students' individual and career skills, critical thinking, teamwork, and report writing…
Descriptors: Conferences (Gatherings), Assignments, Teaching Methods, Instructional Innovation

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