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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
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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
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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
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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
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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
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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
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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
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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
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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
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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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Shi, Yang; Chi, Min; Barnes, Tiffany; Price, Thomas W. – International Educational Data Mining Society, 2022
Knowledge tracing (KT) models are a popular approach for predicting students' future performance at practice problems using their prior attempts. Though many innovations have been made in KT, most models including the state-of-the-art Deep KT (DKT) mainly leverage each student's response either as correct or incorrect, ignoring its content. In…
Descriptors: Programming, Knowledge Level, Prediction, Instructional Innovation
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Goldina, Anya; Licona, Peter; Ricci, Patricia Likos – HAPS Educator, 2020
Extra credit assignments are often viewed with disdain by educators as opportunities to earn points for students that lack the study skills to do well on exams and quizzes. However, these assignments can serve as a platform for students to apply the course material to their own lives, optimizing their strengths and creativity, and encouraging them…
Descriptors: Assignments, Anatomy, Physiology, Allied Health Occupations Education
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Shi, Yang; Schmucker, Robin; Chi, Min; Barnes, Tiffany; Price, Thomas – International Educational Data Mining Society, 2023
Knowledge components (KCs) have many applications. In computing education, knowing the demonstration of specific KCs has been challenging. This paper introduces an entirely data-driven approach for: (1) discovering KCs; and (2) demonstrating KCs, using students' actual code submissions. Our system is based on two expected properties of KCs: (1)…
Descriptors: Computer Science Education, Data Analysis, Programming, Coding
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Fonseca, Samuel C.; Pereira, Filipe Dwan; Oliveira, Elaine H. T.; Oliveira, David B. F.; Carvalho, Leandro S. G.; Cristea, Alexandra I. – International Educational Data Mining Society, 2020
As programming must be learned by doing, introductory programming course learners need to solve many problems, e.g., on systems such as 'Online Judges'. However, as such courses are often compulsory for non-Computer Science (nonCS) undergraduates, this may cause difficulties to learners that do not have the typical intrinsic motivation for…
Descriptors: Programming, Introductory Courses, Computer Science Education, Automation
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