Results 91 to 100 of about 1,570 (259)

LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?

Advanced Intelligent Discovery, EarlyView.
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler, Manuel Raimann, Marc Münker, Maxim Rosin, Joaquin E. Urrutia Gómez, Christof M. Niemeyer, Markus Reischl, Luca Rettenberger   +7 more
wiley   +1 more source

Omani EFL Students' and Their Teachers' Perceptions of Written Corrective Feedback

Journal of Language Teaching and Research
This study examines the EFL teachers' and students' perceptions of the effectiveness of written corrective feedback (WCF) in the EFL context. The data was collected from 104 male and female students and 11 professors at Sultan Qaboos University in Oman.
Rawan Al-Jadeedi, Fatema Al-Rubai’ey
openaire   +1 more source

A Review on Recent Trends of Bioinspired Soft Robotics: Actuators, Control Methods, Materials Selection, Sensors, Challenges, and Future Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker, Tamzid Ul Islam, Md. Robiul Islam   +2 more
wiley   +1 more source

Less is NOT more for learners: EFL learners' preferences and perceptions of teachers' written corrective feedback

Acta Psychologica
Scholars have debated whether comprehensive or focused written corrective feedback is more beneficial for EFL learners; however, learner preferences have not been sufficiently explored.
Manar Almanea
doaj   +1 more source

THE EFFECTIVENESS OF INDIRECT WRITTEN CORRECTION ON ENGLISH WRITING SKILLS

Journal of English for Academic and Specific Purposes, 2018
This study purposed to gain the difference between students’ academic performance in writing skills who are taught by using indirect written correction and those do not.
Aprillia Ariyanti
doaj   +1 more source

Written Corrective Feedback: Preferences and Justifications of Teachers and Students in a Thai Context

GEMA Online® Journal of Language Studies, 2016
This study investigates the preferences and justifications of teachers and students on written corrective feedback (WCF) at a tertiary institution in Thailand and is aimed at expanding on prior similar studies conducted with smaller data sets in different contexts.
Black, Douglas Aaron, Nanni, Alexander
openaire   +2 more sources

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

The Effect of Different Types of Teacher Written Corrective Feedback on Iranian EFL Learners’ Writing Accuracy [PDF]

Journal of Applied Linguistics, 2014
This research is a quasi-experimental study investigating the effect of different types of teacher Written Corrective Feedback (WCF) on Iranian EFL learners’ writing accuracy in using two functions of English articles (the first mention and anaphoric ...
Mehran Davaribina, Seyyed Hossein Karimi
doaj  

OntoLogX: Ontology‐Guided Knowledge Graph Extraction From Cybersecurity Logs With Large Language Models

Advanced Intelligent Systems, EarlyView.
OntoLogX is an autonomous AI agent that uses large language models to transform unstructured cyber security logs into ontology grounded knowledge graphs. By integrating retrieval augmented generation, iterative correction, and a light‐weight log ontology, OntoLogX produces semantically consistent intelligence that links raw log events to MITRE ATT & CK
Luca Cotti, Idilio Drago, Anisa Rula, Devis Bianchini, Federico Cerutti   +4 more
wiley   +1 more source

Ag/Ag2S Nanoparticle‐Based In‐Materio Lightweight Cryptographic System for IoT Edge Security

Advanced Intelligent Systems, EarlyView.
This work presents a nanomaterial‐based in materio encryption method that directly transforms analog signals through nonlinear Ag/Ag2S nanoparticle networks. By exploiting the inherently nonuniform characteristics that arise from random arrangement of nanoparticles as a unique security key, the approach produces highly complex encrypted waveforms ...
Hiroki Tabata, Yuma Yamashita, Yusuke Nakaoka, Oradee Srikimkaew, Muzhen Xu, Yuki Usami, Shunsuke Araki, Hirofumi Tanaka   +7 more
wiley   +1 more source