:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Martin, Daniel San, Manzano, Carlos, de Camargo, Valter Vieira
Format:	Preprint
Published:	2025
Subjects:	Computers and Society
Online Access:	https://arxiv.org/abs/2508.16770
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Better Together: Quantifying the Benefits of AI-Assisted Recruitment
by: Aka, Ada, et al.
Published: (2025)

A MAPE-K-Based Method for Architectural Conformance Checking in Self-Adaptive Systems
by: Martín, Daniel San, et al.
Published: (2024)

Teaching Programming in the Age of Generative AI: Insights from Literature, Pedagogical Proposals, and Student Perspectives
by: Rubio-Manzano, Clemente, et al.
Published: (2025)

Design Patterns for the Common Good: Building Better Technologies Using the Wisdom of Virtue Ethics
by: Conwill, Louisa, et al.
Published: (2025)

How Do Students Interact with an LLM-powered Virtual Teaching Assistant in Different Educational Settings?
by: Maiti, Pratyusha, et al.
Published: (2024)

Informed Consent: We Can Do Better to Defend Privacy
by: Borgesius, Frederik Zuiderveen
Published: (2025)

Uncovering Student Engagement Patterns in Moodle with Interpretable Machine Learning
by: Johnston, Laura J., et al.
Published: (2024)

Better Balance in Informatics 2.0: The First-Year Students
by: Arvola, Ine, et al.
Published: (2026)

Measuring Changes in Instructor Class Design and Student Learning After the Release of Large Language Models (LLMs)
by: Potasznik, Amanda, et al.
Published: (2026)

DoYouTrustAI: A Tool to Teach Students About AI Misinformation and Prompt Engineering
by: Driscoll, Phillip, et al.
Published: (2025)

Learning by Teaching: Engaging Students as Instructors of Large Language Models in Computer Science Education
by: Yang, Xinming, et al.
Published: (2025)

A Problem-Based Learning Approach to Teaching Design in CS1
by: Schankula, Christopher William, et al.
Published: (2024)

ICLF: An Immersive Code Learning Framework based on Git for Teaching and Evaluating Student Programming Projects
by: Schaus, Pierre, et al.
Published: (2026)

Teaching Data Science Students to Sketch Privacy Designs through Heuristics (Extended Technical Report)
by: Wen, Jinhe, et al.
Published: (2025)

Better Call GPT, Comparing Large Language Models Against Lawyers
by: Martin, Lauren, et al.
Published: (2024)

Perils of current DAO governance
by: Kharman, Aida Manzano, et al.
Published: (2024)

How Teachers Teach, How Students Learn: "Doing" History and Opening Windows.
by: Werking, Richard Hume
Published: (1991)

Global Patterns in Student Stress and Academic Performance: A Machine Learning Study Using PISA 2022
by: Ghazanchyan, Ani, et al.
Published: (2026)

Survey of Methods, Resources, and Formats for Teaching Constraint Programming
by: Santanam, Tejas, et al.
Published: (2024)

Teaching Language Models How to Code Like Learners: Conversational Serialization for Student Simulation
by: Koutcheme, Charles, et al.
Published: (2026)

Student Access to Internet: Librarians and Teachers Working Together to Teach Higher Level Survival Skills.
by: Johnson, Doug
Published: (1995)

Better Than "Better Than Nothing": Design Strategies for Enculturated Empathetic AI Robot Companions for Older Adults
by: Pedersen, Isabel, et al.
Published: (2025)

Teaching Students to Question the Machine: An AI Literacy Intervention Improves Students' Regulation of LLM Use in a Science Task
by: Clerc, O., et al.
Published: (2026)

Retrieval Improvements Do Not Guarantee Better Answers: A Study of RAG for AI Policy QA
by: Mathur, Saahil, et al.
Published: (2026)

Patterns of Student Help-Seeking When Using a Large Language Model-Powered Programming Assistant
by: Sheese, Brad, et al.
Published: (2023)

OSI: Will It Ever See the Light of Day?
by: Moloney, Peter
Published: (1997)

Accessible Adventures: Teaching Accessibility to High School Students Through Games
by: Zhou, Kyrie Zhixuan, et al.
Published: (2024)

Can Large-Language Models Help us Better Understand and Teach the Development of Energy-Efficient Software?
by: Hasler, Ryan, et al.
Published: (2024)

Vulnerabilities that arise from poor governance in Distributed Ledger Technologies
by: Kharman, Aida Manzano, et al.
Published: (2024)

Teaching Usable Privacy in HCI Education: Designing, Implementing, and Evaluating an Active Learning Graduate Course
by: Das, Sanchari, et al.
Published: (2026)

Personality-Driven Student Agent-Based Modeling in Mathematics Education: How Well Do Student Agents Align with Human Learners?
by: Xiao, Bushi, et al.
Published: (2026)

Exploring Student Interactions with AI-Powered Learning Tools: A Qualitative Study Connecting Interaction Patterns to Educational Learning Theories
by: Muzumdar, Prathamesh, et al.
Published: (2025)

Comparative Analysis of Digital Tools and Traditional Teaching Methods in Educational Effectiveness
by: Kandukoori, Aarush, et al.
Published: (2024)

ParaStudent: Generating and Evaluating Realistic Student Code by Teaching LLMs to Struggle
by: Miroyan, Mihran, et al.
Published: (2025)

Making Sense of the Weather, Together: Collaborative Sensemaking in Severe Weather Livestreams
by: Vera, Julie A., et al.
Published: (2026)

DoDo Learning: DOmain-DemOgraphic Transfer in Language Models for Detecting Abuse Targeted at Public Figures
by: Williams, Angus R., et al.
Published: (2023)

De mythe van geïnformeerde toestemming: online privacybescherming kan beter [Informed Consent: We Can Do Better to Defend Privacy]
by: Borgesius, Frederik Zuiderveen
Published: (2025)

Not All Students Engage Alike: Multi-Institution Patterns in GenAI Tutor Use
by: Chen, Youjie, et al.
Published: (2026)

DMP_AI: An AI-Aided K-12 System for Teaching and Learning in Diverse Schools
by: Yang, Zhen-Qun, et al.
Published: (2024)

Assessing the Impact of Case Correction Methods on the Fairness of COVID-19 Predictive Models
by: Smolyak, Daniel, et al.
Published: (2024)