Copertina

Adaptive Contextual Task Engine (ACTE): A Mastery-Aware Task Recommender for Mobile Language Learning in Real-World Contexts

Fuente: Zenodo

Salvato in:

Dettagli Bibliografici
Autore principale:	Purwanto, Yudhy S.
Natura:	Recurso digital
Pubblicazione:	Zenodo 2026
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Simulating Learners' Task-Selection Strategies and System Constraints in Mastery Learning
di: Noh, Haley, et al.
Pubblicazione: (2026)

Mastery Learning Improves Performance on Complex Tasks on PCP Literacy Test
di: Srinivas, Chandana, et al.
Pubblicazione: (2025)

From Language to Action: Enhancing LLM Task Efficiency with Task-Aware MCP Server Recommendation
di: He, Shiyu, et al.
Pubblicazione: (2026)

Task Memory Engine (TME): Enhancing State Awareness for Multi-Step LLM Agent Tasks
di: Ye, Ye
Pubblicazione: (2025)

Evaluating Large Language Models for Real-World Engineering Tasks
di: Heesch, Rene, et al.
Pubblicazione: (2025)

Action Contextualization: Adaptive Task Planning and Action Tuning using Large Language Models
di: Gupta, Sthithpragya, et al.
Pubblicazione: (2024)

ATACompressor: Adaptive Task-Aware Compression for Efficient Long-Context Processing in LLMs
di: Li, Xuancheng, et al.
Pubblicazione: (2026)

Task-Aware Retrieval Augmentation for Dynamic Recommendation
di: Tao, Zhen, et al.
Pubblicazione: (2025)

Contextual Control without Memory Growth in a Context-Switching Task
di: Kim, Song-Ju
Pubblicazione: (2026)

ReInAgent: A Context-Aware GUI Agent Enabling Human-in-the-Loop Mobile Task Navigation
di: Jia, Haitao, et al.
Pubblicazione: (2025)

A Pragmatist Robot: Learning to Plan Tasks by Experiencing the Real World
di: Qu, Kaixian, et al.
Pubblicazione: (2025)

From Learning to Mastery: Achieving Safe and Efficient Real-World Autonomous Driving with Human-In-The-Loop Reinforcement Learning
di: Zeqiao, Li, et al.
Pubblicazione: (2025)

IntTravel: A Real-World Dataset and Generative Framework for Integrated Multi-Task Travel Recommendation
di: Yan, Huimin, et al.
Pubblicazione: (2026)

Comparing Zealous and Restrained AI Recommendations in a Real-World Human-AI Collaboration Task
di: Xu, Chengyuan, et al.
Pubblicazione: (2024)

GCAPS: GPU Context-Aware Preemptive Priority-based Scheduling for Real-Time Tasks
di: Wang, Yidi, et al.
Pubblicazione: (2024)

MMFactory: A Universal Solution Search Engine for Vision-Language Tasks
di: Fan, Wan-Cyuan, et al.
Pubblicazione: (2024)

Task-Oriented Human Grasp Synthesis via Context- and Task-Aware Diffusers
di: Liu, An-Lun, et al.
Pubblicazione: (2025)

DynamicKV: Task-Aware Adaptive KV Cache Compression for Long Context LLMs
di: Zhou, Xiabin, et al.
Pubblicazione: (2024)

Spoken Language Understanding on Unseen Tasks With In-Context Learning
di: Agrawal, Neeraj, et al.
Pubblicazione: (2025)

Entropy-Aware Task Offloading in Mobile Edge Computing
di: Ardakani, Mohsen Sahraei, et al.
Pubblicazione: (2026)

Deep Adaptive Interest Network: Personalized Recommendation with Context-Aware Learning
di: Huang, Shuaishuai, et al.
Pubblicazione: (2024)

Preschoolers ́ Physical Activity and Time on Task During a Mastery Motivational Climate and Free Play
di: Danielle D. Wadsworth
Pubblicazione: (2014)

THE LACANIAN ACT AND PASSAGE À L’ACTE: A CASE HISTORY OF THE SUBJECTIVE EFFECTS OF CRIME ON THE CRIMINAL
di: SANDIE IFFLI
Pubblicazione: (2019)

Safe Reinforcement Learning for Real-World Engine Control
di: Bedei, Julian, et al.
Pubblicazione: (2025)

Variabel Patient with Breast Cancer (Clinicopatology)
di: Purwanto, Denni Joko
Pubblicazione: (2026)

TerminalWorld: Benchmarking Agents on Real-World Terminal Tasks
di: Chu, Zhaoyang, et al.
Pubblicazione: (2026)

Task Aware Dreamer for Task Generalization in Reinforcement Learning
di: Ying, Chengyang, et al.
Pubblicazione: (2023)

Words into World: A Task-Adaptive Agent for Language-Guided Spatial Retrieval in AR
di: Guo, Lixing, et al.
Pubblicazione: (2025)

A Case Study on Context-Aware Neural Machine Translation with Multi-Task Learning
di: Appicharla, Ramakrishna, et al.
Pubblicazione: (2024)

Learning What Helps: Task-Aligned Context Selection for Vision Tasks
di: Guo, Jingyu, et al.
Pubblicazione: (2025)

EngineAD: A Real-World Vehicle Engine Anomaly Detection Dataset
di: Hojjati, Hadi, et al.
Pubblicazione: (2026)

Mimic In-Context Learning for Multimodal Tasks
di: Jiang, Yuchu, et al.
Pubblicazione: (2025)

Task-Oriented Dialogue with In-Context Learning
di: Bocklisch, Tom, et al.
Pubblicazione: (2024)

Adaptive Contextual Caching for Mobile Edge Large Language Model Service
di: Liu, Guangyuan, et al.
Pubblicazione: (2025)

Contextual Multi-Task Reinforcement Learning for Autonomous Reef Monitoring
di: Laux, Melvin, et al.
Pubblicazione: (2026)

IM-Context: In-Context Learning for Imbalanced Regression Tasks
di: Nejjar, Ismail, et al.
Pubblicazione: (2024)

Context-Scaling versus Task-Scaling in In-Context Learning
di: Abedsoltan, Amirhesam, et al.
Pubblicazione: (2024)

Task-Aware Automated User Profile Generation for Recommendation Simulation Using Large Language Models
di: Wanyan, Xinye, et al.
Pubblicazione: (2026)

Learning Task Representations from In-Context Learning
di: Saglam, Baturay, et al.
Pubblicazione: (2025)

A Design Methodology For Acceptability Analyzer in Context Aware Adaptive Mobile Learning Systems Development
di: Nagella Uday Bhaskar
Pubblicazione: (2008)