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Artificial intelligence and engineering education
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/j.2168-9830.2011.tb00007.xopenalex-snapshot
Situated Engineering Learning: Bridging Engineering Education Research and the Learning Sciences
inferredcites →https://doi.org/10.1002/jee.20005openalex-snapshot
The Role of Representations in Engineering Practices: Taking a Turn towards Inscriptions
inferredcites →https://doi.org/10.1080/10999922.2018.1511671openalex-snapshot
Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor
inferredcites →https://doi.org/10.1109/ms.2013.13openalex-snapshot
Social Networking Meets Software Development: Perspectives from GitHub, MSDN, Stack Exchange, and TopCoder
inferredcites →https://doi.org/10.1111/tops.12035openalex-snapshot
LearnLab's DataShop: A Data Repository and Analytics Tool Set for Cognitive Science
inferredcites →https://doi.org/10.1145/2531602.2531731openalex-snapshot
Fast, functional, and fitting
inferredcites →https://doi.org/10.1145/3287324.3287460openalex-snapshot
Using GitHub in the Classroom Predicts Student Learning Outcomes and Classroom Experiences
inferredcites →https://doi.org/10.1145/3328778.3366817openalex-snapshot
Insights for Curriculum Development
inferredcites →https://doi.org/10.1207/s15326985ep2004_2openalex-snapshot
Beyond Amplification: Using the computer to Reorganize Mental Functioning
inferredcites →https://doi.org/10.1504/ijsmile.2014.064208openalex-snapshot
Cognitive load theory meets the real world: worked examples on a popular homework help forum
inferredcites →https://doi.org/10.1609/aimag.v39i2.2803openalex-snapshot
Creation of the National Artificial Intelligence Research and Development Strategic Plan
inferredcites →https://doi.org/10.21236/ad0289565openalex-snapshot
AUGMENTING HUMAN INTELLECT: A CONCEPTUAL FRAMEWORK
inferredcites →https://doi.org/10.48550/arxiv.1604.01840openalex-snapshot
Next-Term Student Performance Prediction: A Recommender Systems Approach
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/cae.70075openalex-snapshot
The Effects of a Generative AI‐Enabled CDIO Teaching Model on Undergraduates' Computational Thinking and Individual Psychological Constructs
inferred← citeshttps://doi.org/10.1002/jee.20436openalex-snapshot
Aligning classroom assessment with engineering practice: A design‐based research study of a two‐stage exam with authentic assessment
inferred← citeshttps://doi.org/10.1002/jee.20504openalex-snapshot
Students' technological ambivalence toward online proctoring and the need for responsible use of educational technologies
inferred← citeshttps://doi.org/10.1002/jee.20537openalex-snapshot
Generative artificial intelligence and engineering education
inferred← citeshttps://doi.org/10.1007/978-3-031-18880-0_8openalex-snapshot
AI Literacy Education for Nonengineering Undergraduates
inferred← citeshttps://doi.org/10.1007/s41979-025-00160-5openalex-snapshot
Enhancing Learning Through Open-Access Contributions: Evaluating the Educational Value of Wikipedia-Based Assignments
inferred← citeshttps://doi.org/10.1007/s41979-026-00189-0openalex-snapshot
Exploring Enhancement of Student Learning Outcomes by Redefining Problem Generation in Mechanical Engineering Using Generative AI
inferred← citeshttps://doi.org/10.1016/j.procs.2026.02.354openalex-snapshot
Reinforcement Learning in Virtual Environments for Education: Trends and Future Applications
inferred← citeshttps://doi.org/10.1017/s0890060423000203openalex-snapshot
Mapping artificial intelligence-based methods to engineering design stages: a focused literature review
inferred← citeshttps://doi.org/10.1080/02188791.2021.1985430openalex-snapshot
Factors influencing programming self-efficacy: an empirical study in the context of Mainland China
inferred← citeshttps://doi.org/10.1109/cipae53742.2021.00071openalex-snapshot
Individualized Training Model of College Teachers Based on Artificial Intelligence Platforms: An Empirical Study
inferred← citeshttps://doi.org/10.1109/educon62633.2025.11016366openalex-snapshot
Uses of Generative AI in Engineering, Technology, and Computing Classrooms: Findings From the IEEE FIE Conference Proceedings
inferred← citeshttps://doi.org/10.1109/edunine62377.2025.10980845openalex-snapshot
Work in Progress: A Rapid Review of the Scholarship on Generative AI in Engineering Workplaces—Implications for Engineering Education
inferred← citeshttps://doi.org/10.1109/fie63693.2025.11328161openalex-snapshot
(WIP) Developing a Generative AI Literacy Module for Engineering Graduate Teaching Assistants: A Model for Engineering Education
inferred← citeshttps://doi.org/10.1109/fie63693.2025.11328175openalex-snapshot
WIP: “Can You Do My Homework?” and Other Queries - an Analysis of Student Prompts to Generative AI in an Engineering Statics Course
inferred← citeshttps://doi.org/10.1109/waie60568.2023.00014openalex-snapshot
Exploration of Education Transformation and Teacher Literacy in the Age of Artificial Intelligence
inferred← citeshttps://doi.org/10.1145/3465631.3465858openalex-snapshot
Retracted on February 24, 2022 : Study on Teaching Reform of Artificial Intelligence Education in non-Computer Major
inferred← citeshttps://doi.org/10.1145/3700297.3700382openalex-snapshot
Advancing AI-Driven BETC Models for Transformative Educational Data Mining and Learning Analytics
inferred← citeshttps://doi.org/10.1145/3768421.3768443openalex-snapshot
Design and Implementation of a Multi-Agent AI-Powered Learning Path Platform for Outcome-Based Engineering Education
inferred← citeshttps://doi.org/10.18260/1-2--56639openalex-snapshot
Generative AI as a Tool for Effective Problem Generation in Engineering
inferred← citeshttps://doi.org/10.18260/1-2--60655openalex-snapshot
Shaping AI Policy in Engineering Classrooms: A Qualitative Study of 17 Faculty Perspectives on Learning, Integrity, and Professional Preparation
inferred← citeshttps://doi.org/10.25304/rlt.v30.2642openalex-snapshot
Augmented sociomateriality: implications of artificial intelligence for the field of learning technology
inferred← citeshttps://doi.org/10.3278/6004804w283openalex-snapshot
Ausblick: Welche Rolle spielen Online-Labore für die Zukunft der Laborlehre?
inferred← citeshttps://doi.org/10.3389/feduc.2024.1321547openalex-snapshot
ChatGPT in Brazilian K-12 science education
inferred← citeshttps://doi.org/10.3390/educsci12050316openalex-snapshot
Smart Automotive E-Mobility—A Proposal for a New Curricula for Engineering Education
inferred← citeshttps://doi.org/10.3390/educsci15111455openalex-snapshot
Toward a Coherent AI Literacy Pathway in Technology Education: Bibliometric Synthesis and Cross-Sectional Assessment
inferred← citeshttps://doi.org/10.3390/informatics10030074openalex-snapshot
Reinforcement Learning in Education: A Literature Review
inferred← citeshttps://doi.org/10.4018/979-8-3373-0122-8.ch016openalex-snapshot
Navigating the Use of AI in Engineering Education Through a Systematic Review of Technology, Regulations, and Challenges
inferred← citeshttps://doi.org/10.4324/9781003287483-12openalex-snapshot
Critical and Cultural Analysis of Engineering Learning
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