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Michael E. Ellis; K. Mike Casey; Geoffrey Hill – Decision Sciences Journal of Innovative Education, 2024
Large Language Model (LLM) artificial intelligence tools present a unique challenge for educators who teach programming languages. While LLMs like ChatGPT have been well documented for their ability to complete exams and create prose, there is a noticeable lack of research into their ability to solve problems using high-level programming…
Descriptors: Artificial Intelligence, Programming Languages, Programming, Homework
Yuanting Lu – Journal of Statistics and Data Science Education, 2023
Interactive web-based applets have proven effective in teaching statistics. This article presents new implementations of web-based applets primarily targeting a traditional introductory statistics course in two particular areas: (a) using real-time response data to engage students in simulations and (b) generating randomized datasets for…
Descriptors: Computer Oriented Programs, Simulation, Statistics Education, Teaching Methods
Mungan, Carl E. – Physics Teacher, 2021
A common homework problem in many introductory physics courses is similar to the following. "A car drives at constant speed over a hill on a road in the shape of a vertical circular arc. What is the maximum speed the car can have and not lose contact with the road at the crest of the hill?" Unfortunately this problem is flawed, because…
Descriptors: Homework, Introductory Courses, Motion, Problem Solving
Koklu, Oguz; Kaplan, Jennifer J. – International Journal of Science and Mathematics Education, 2023
Previous research has shown that students form fragmented understandings about variability even after instruction and that these primitive notions function as obstacles to a robust understanding of variability. To investigate the effect of disruptions to students' primitive notions of variability, we examined undergraduate students' reasoning…
Descriptors: Undergraduate Students, Thinking Skills, Mathematics Instruction, Homework
Vogeler, Heidi A.; Plummer, Kenneth J.; Fischer, Lane; Plummer, Ashton L. – Educational Research: Theory and Practice, 2022
Pedagogical methods for graduate-level statistics courses have rarely focused on the pursuit of conditional knowledge or the ability to choose which concepts/procedures are relevant given a specific research situation. However, utilization of an innovative approach called decision-based learning (DBL) not only provides students with the…
Descriptors: Statistics, Graduate Study, Decision Making, Word Problems (Mathematics)
Daniel Gertner; Allie Brashears; Na Xu; Holly Porter-Morgan – Journal of College Science Teaching, 2024
Gateway science courses are an ongoing obstacle to recruitment into STEM fields (Science, Technology, Engineering, and Mathematics). Students come into courses that have a high cognitive load, which makes success in the course challenging. Instructional design can be used to reduce cognitive load. The findings demonstrate that leveraging pre- and…
Descriptors: Community College Students, STEM Education, Biology, Science Instruction
Frede, Christiane; Knobelsdorf, Maria – Computer Science Education, 2021
Background and Context: Considerable numbers of Computer science (CS) undergraduate majors struggle in Theory of Computation (ToC) courses, which strengthen bimodality beliefs of student performance. Reasons for students struggling are assumed to be manifold but substantial ground is based on studies providing singular insights into this matter.…
Descriptors: Computer Science Education, Academic Achievement, Introductory Courses, Computation
Meier, Heidi; Lepp, Marina – Journal of Educational Computing Research, 2023
Especially in large courses, feedback is often given only on the final results; less attention is paid to the programming process. Today, however, some programming environments, e.g., Thonny, log activities during programming and have the functionality of replaying the programming process. This information can be used to provide feedback, and this…
Descriptors: Programming, Introductory Courses, Computer Science Education, Teaching Methods
Kirkwood-Watts, Dana L.; Bremers, Emily K.; Robinson, Emily A.; Brazeal, Kathleen R.; Couch, Brian A. – Journal of Microbiology & Biology Education, 2022
Clicker questions are a commonly used active learning technique that stimulates student interactions to help advance understanding of key concepts. Clicker questions are often administered with an initial vote, peer discussion, and a second vote, followed by broader classroom explanation. While clickers can promote learning, some studies have…
Descriptors: Audience Response Systems, Reflection, Homework, Academic Achievement
Doherty, Jennifer H.; Cerchiara, Jack A.; Scott, Emily E.; Jescovitch, Lauren N.; McFarland, Jenny L.; Haudek, Kevin C.; Wenderoth, Mary Pat – Advances in Physiology Education, 2023
The Physiology Core Concept of flow down gradients is a major concept in physiology, as pressure gradients are the key driving force for the bulk flow of fluids in biology. However, students struggle to understand that this principle is foundational to the mechanisms governing bulk flow across diverse physiological systems (e.g., blood flow,…
Descriptors: Physiology, Science Instruction, Teaching Methods, Concept Formation
Elesha Goodfriend – ProQuest LLC, 2024
The primary purpose of this study was to compare academic variables from students participating in mixed teaching methods/course revitalization biology courses to those in traditional courses at two community colleges in Tennessee. A two-group comparison design using archived data was used, which evaluated differences in final grades, exam scores,…
Descriptors: Science Instruction, Biology, Teaching Methods, Comparative Analysis
John Pace; John Hansen; John Stewart – Physical Review Physics Education Research, 2024
Machine learning models were constructed to predict student performance in an introductory mechanics class at a large land-grant university in the United States using data from 2061 students. Students were classified as either being at risk of failing the course (earning a D or F) or not at risk (earning an A, B, or C). The models focused on…
Descriptors: Artificial Intelligence, Identification, At Risk Students, Physics
Bush, Eliot C.; Adolph, Stephen C.; Donaldson-Matasci, Matina C.; Hur, Jae; Schulz, Danae – Journal of College Science Teaching, 2021
This paper describes an introductory biology course for undergraduates that heavily incorporates quantitative problem solving in activities and homework assignments. The course is broken up into a series of units, each organized around a motivating biological question or theme. Homework assignments address the theme or question, and typically…
Descriptors: Biology, Science Instruction, Teaching Methods, Problem Solving
Increasing the Effectiveness of Active Learning Using Deliberate Practice: A Homework Transformation
Miller, Kelly; Callaghan, Kristina; McCarty, Logan S.; Deslauriers, Louis – Physical Review Physics Education Research, 2021
We show how learning can be improved, beyond that shown in actively taught classrooms, by also transforming the homework using the principles of deliberate practice. We measure the impact of transforming the homework on student learning in a course that had already implemented an active approach to teaching in class. We compare performance on the…
Descriptors: Active Learning, Homework, Science Instruction, Physics
Brett Mohar – Reading in a Foreign Language, 2024
L2 extensive reading (ER) research primarily studies intermediate and upper-intermediate learners, but few studies investigate beginners. This study addresses this gap by reporting on beginner Japanese as Foreign Language (JFL) learners' attempts to do ER according to Waring and McLean's (2015) ER principles. In this study, 13 second-semester…
Descriptors: Reading Instruction, Introductory Courses, Reading Comprehension, Reading Rate