Cover Image

Automated but Atrophied? Student Over-Reliance vs Expert Augmentation of AI in Learning and Cybersecurity

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Khan, Koffka
Format:	Preprint
Published:	2025
Subjects:	Computers and Society 68T07 (Primary), 68T05, 68U99 (Secondary) I.2.6; I.2.7; K.3.2; K.4.1; F.2.2
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Recent Advances in Data-Driven Business Process Management
by: Ackermann, Lars, et al.
Published: (2024)

Navigational Thinking as an Emerging Paradigm of Computer Science in the Age of Generative AI
by: Levin, Ilya
Published: (2026)

Enhancing Privacy in Federated Learning through Quantum Teleportation Integration
by: Khan, Koffka
Published: (2024)

Optimistic Feasible Search for Closed-Loop Fair Threshold Decision-Making
by: Du, Wenzhang
Published: (2025)

Toward Self-Driving Universities: Can Universities Drive Themselves with Agentic AI?
by: Koubaa, Anis
Published: (2026)

From Prompting to Preference Optimization: A Comparative Study of LLM-based Automated Essay Scoring
by: Nguyen, Minh Hoang, et al.
Published: (2026)

$δ$-STEAL: LLM Stealing Attack with Local Differential Privacy
by: Dang, Kieu, et al.
Published: (2025)

Integrating Generative AI in Cybersecurity Education: Case Study Insights on Pedagogical Strategies, Critical Thinking, and Responsible AI Use
by: Elkhodr, Mahmoud, et al.
Published: (2025)

Think Thrice Before You Speak: Dual knowledge-enhanced Theory-of-Mind Reasoning for Persuasive Agents
by: Ma, Minghui, et al.
Published: (2026)

Understanding the Nature of Generative AI as Threshold Logic in High-Dimensional Space
by: Levin, Ilya
Published: (2026)

Feature Selection Based on Reinforcement Learning and Hazard State Classification for Magnetic Adhesion Wall-Climbing Robots
by: Ma, Zhen, et al.
Published: (2025)

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code
by: Madan, Kapil
Published: (2025)

Natural Language Processing: A Comprehensive Practical Guide from Tokenisation to RLHF
by: Arabov, Mullosharaf K.
Published: (2026)

TableMoE: Neuro-Symbolic Routing for Structured Expert Reasoning in Multimodal Table Understanding
by: Zhang, Junwen, et al.
Published: (2025)

Who's Asking? Investigating Bias Through the Lens of Disability Framed Queries in LLMs
by: Hari, Vishnu, et al.
Published: (2025)

Embedding Explainable AI in NHS Clinical Safety: The Explainability-Enabled Clinical Safety Framework (ECSF)
by: Gigiu, Robert
Published: (2025)

Enhancing Ultra-Low-Bit Quantization of Large Language Models Through Saliency-Aware Partial Retraining
by: Cao, Deyu, et al.
Published: (2025)

Modularity in Transformers: Investigating Neuron Separability & Specialization
by: Pochinkov, Nicholas, et al.
Published: (2024)

See-Saw Generative Mechanism for Scalable Recursive Code Generation with Generative AI
by: Vsevolodovna, Ruslan Idelfonso Magaña
Published: (2024)

Improved ICNN-LSTM Model Classification Based on Attitude Sensor Data for Hazardous State Assessment of Magnetic Adhesion Climbing Wall Robots
by: Ma, Zhen, et al.
Published: (2024)

NOTAI.AI: Explainable Detection of Machine-Generated Text via Curvature and Feature Attribution
by: Breneur, Oleksandr Marchenko, et al.
Published: (2026)

Formal Proofs as Structured Explanations: Proposing Several Tasks on Explainable Natural Language Inference
by: Abzianidze, Lasha
Published: (2023)

AVEC: Bootstrapping Privacy for Local LLMs
by: Gaikwad, Madhava
Published: (2025)

CogniLoad: A Synthetic Natural Language Reasoning Benchmark With Tunable Length, Intrinsic Difficulty, and Distractor Density
by: Kaiser, Daniel, et al.
Published: (2025)

Learning Sign Language Representation using CNN LSTM, 3DCNN, CNN RNN LSTM and CCN TD
by: Louison, Nikita, et al.
Published: (2024)

Inference Scaling Reshapes AI Governance
by: Ord, Toby
Published: (2025)

Sliced-Wasserstein Distribution Alignment Loss Improves the Ultra-Low-Bit Quantization of Large Language Models
by: Cao, Deyu, et al.
Published: (2026)

From Particles to Agents: Hallucination as a Metric for Cognitive Friction in Spatial Simulation
by: Sánchez-Vaquerizo, Javier Argota, et al.
Published: (2026)

Harnessing non-adversarial robustness in large language models
by: Zhou, Qinghua, et al.
Published: (2026)

When Does Content-Based Routing Work? Representation Requirements for Selective Attention in Hybrid Sequence Models
by: Basu, Abhinaba
Published: (2026)

MAcPNN: Mutual Assisted Learning on Data Streams with Temporal Dependence
by: Giannini, Federico, et al.
Published: (2026)

Rethinking the Multilingual Reasoning Gap with Layer Swap
by: Lasbordes, Maxence, et al.
Published: (2026)

Automated Feedback Generation for Undergraduate Mathematics: Development and Evaluation of an AI Teaching Assistant
by: Gohr, Aron, et al.
Published: (2026)

InhibiDistilbert: Knowledge Distillation for a ReLU and Addition-based Transformer
by: Zhang, Tony, et al.
Published: (2025)

Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs
by: Hill, Brennen, et al.
Published: (2025)

Vis-CoT: A Human-in-the-Loop Framework for Interactive Visualization and Intervention in LLM Chain-of-Thought Reasoning
by: Pather, Kaviraj, et al.
Published: (2025)

The Price of Progress: Price Performance and the Future of AI
by: Gundlach, Hans, et al.
Published: (2025)

Thinking Machines: Mathematical Reasoning in the Age of LLMs
by: Asperti, Andrea, et al.
Published: (2025)

CLMN: Concept based Language Models via Neural Symbolic Reasoning
by: Yang, Yibo
Published: (2025)

Efficient Fine-Tuning Methods for Portuguese Question Answering: A Comparative Study of PEFT on BERTimbau and Exploratory Evaluation of Generative LLMs
by: Nina, Mariela M., et al.
Published: (2026)