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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
Amie Duncan; Abigail Evans; Aaron Vaughn; Leanne Tamm – Psychology in the Schools, 2025
Autistic students demonstrate poor academic performance which may be related to challenges in learning behaviors such as organization, planning, study skills, and so forth. Most studies report on summary scores; however, there may be value in understanding specific strengths and challenges to better inform assessment and intervention efforts. The…
Descriptors: Autism Spectrum Disorders, Students with Disabilities, Student Behavior, Middle School Students
Asogwa, Uchenna; Duckett, T. Ryan; Mentzer, Gale A.; Liberatore, Matthew W. – Chemical Engineering Education, 2021
The impact of solving novel video-inspired homework problems on learning attitudes toward chemical engineering was examined at beginning and end of an undergraduate material and energy balances course using a modified Colorado Learning Attitudes about Science Survey instrument. Mean overall attitude of participants improved by a normalized gain…
Descriptors: Homework, Student Attitudes, Video Technology, Problem Solving
Lonneke Boels; Enrique Garcia Moreno-Esteva; Arthur Bakker; Paul Drijvers – International Journal of Artificial Intelligence in Education, 2024
As a first step toward automatic feedback based on students' strategies for solving histogram tasks we investigated how strategy recognition can be automated based on students' gazes. A previous study showed how students' task-specific strategies can be inferred from their gazes. The research question addressed in the present article is how data…
Descriptors: Eye Movements, Learning Strategies, Problem Solving, Automation
González, José Antonio; Giuliano, Mónica; Pérez, Silvia N. – Education and Information Technologies, 2022
Research on impact in student achievement of online homework systems compared to traditional methods is ambivalent. Methodological issues in the study design, besides of technological diversity, can account for this uncertainty. Hypothesis: This study aims to estimate the effect size of homework practice with exercises automatically provided by…
Descriptors: Undergraduate Students, Engineering Education, Electronic Learning, Problem Solving
Boudreaux, Gregory M.; Haugh, Janine; Johnson, Ed; Tinney, Laura; Whitlock, Cathy – PRIMUS, 2022
Several publishing companies now offer competing brands of online homework (OHW) software. Students rarely have a voice in choosing their required course materials, even though, ultimately, they will be asked to use and pay for these systems. In this study, Calculus I students each tested three different OHW systems. The students were then asked…
Descriptors: Mathematics Instruction, Calculus, Homework, Educational Technology
Nicholas Gorgievski; Thomas DeFranco – Investigations in Mathematics Learning, 2024
In most mathematics textbooks, each lesson is followed by a set of homework problems in one of two ways -- blocked practice and mixed practice. Additionally, most mathematics textbooks rely on a common learning strategy called overlearning, that is, mastering a skill and continuing to practice this same skill. This study investigated the effects…
Descriptors: Calculus, Mathematics Instruction, Mathematics Achievement, Scores
Alexis N. Prybutok; Ayinoluwa Abegunde; Kenzie Sanroman Gutierrez; Lauren Simitz; Chloe Archuleta; Jennifer Cole – Chemical Engineering Education, 2024
Engineering curriculum often fails to connect content and decisions to impacts on diverse, particularly marginalized, communities. Given that integration of social justice ideas into curriculum is currently uncommon among most faculty, we provide resources in the form of a workshop to help catalyze these efforts by teaching faculty how to…
Descriptors: Chemical Engineering, Social Justice, Racism, Workshops
Williams, Hefin; Williams, Keith – Education 3-13, 2022
Assessment for Learning (AfL) has long been identified as effective in supporting teachers to modify their teaching and learning with the aim of improving attainment but AfL practices are rarely applied to mathematics homework. Parental involvement in learning is also a key ingredient to success. This paper explores the benefits of using AfL…
Descriptors: Parent Participation, Parents as Teachers, Mathematics Education, Mathematics Instruction
Christopher V. H.-H. Chen; Scott Banta – Chemical Engineering Education, 2023
As more chemical engineering students enter careers beyond the field, students need more guidance in applying their problem solving skills to a challenges beyond the plant or refinery. Since Fall 2019, we have implemented case-based learning across our Material and Energy Balances course to help students practice chemical engineering thinking as a…
Descriptors: Teaching Methods, Chemical Engineering, Engineering Education, Problem Solving
Ngo, Vy; Perez Lacera, Luisa; Closser, Avery Harrison; Ottmar, Erin – Journal of Numerical Cognition, 2023
For students to advance beyond arithmetic, they must learn how to attend to the structure of math notation. This process can be challenging due to students' left-to-right computing tendencies. Brackets are used in mathematics to indicate precedence but can also be used as superfluous cues and perceptual grouping mechanisms in instructional…
Descriptors: Mathematics Skills, Arithmetic, Symbols (Mathematics), Computation
Wang, Weitian; Coutras, Constantine; Zhu, Michelle – Smart Learning Environments, 2021
With the increasing employment of robots in multiple areas such as smart manufacturing and intelligent transportation, both undergraduate and graduate students from computing related majors (e.g., computer science and information technology) demonstrated strong interests in learning robotics technology to broaden their career opportunities.…
Descriptors: Computer Science Education, College Students, Situated Learning, Robotics
Allison Dorko; John Paul Cook; Isaiah DeHoyos – Investigations in Mathematics Learning, 2023
In an online asynchronous vector calculus course, we observed exam answers solved with a formula from online homework instead of the formula from lecture. Our exploratory study investigated (1) why students learned from homework instead of lecture for this topic and (2) their epistemological frames (e-frames) for lecture and homework. Per (1),…
Descriptors: Mathematics Instruction, Homework, Calculus, Online Courses
Faulkner, Brian; Johnson-Glauch, Nicole; Choi, Dong; Herman, Geoffrey L. – Journal of Engineering Education, 2020
Background: Many engineering students fail to proceed through required prerequisite mathematics courses. Since these courses strongly influence engineering student attrition, we should examine to what degree these courses truly serve as prerequisites for following engineering coursework. Purpose/Hypothesis: We examined two research questions:…
Descriptors: Engineering Education, Calculus, Course Content, Required Courses
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