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Non-native English speakers performing English-related tasks at work struggle to sustain EFL learning, despite their motivation. Often, study materials are disconnected from their work context. Our formative study revealed that reviewing…

人机交互 · 计算机科学 2026-01-28 Yeonsun Yang , Sang Won Lee , Jean Y. Song , Sangdoo Yun , Young-Ho Kim

The development of a learning management system (LMS) as a key service seems to be very effective for creation of educational digital platforms. Such platforms for both higher education institutions and various companies can provide the…

计算机与社会 · 计算机科学 2018-07-02 Andrey Gorshenin

With a trend toward becoming more and more information and communication based, learning services and processes were also evolved. E-learning comprises all forms of electronically supported learning and teaching. The information and…

计算机与社会 · 计算机科学 2021-05-18 Abbas Najafizadeh , Maryam Saadati , S. Mahdi Jamei , S. Shervin Ostadzadeh

The advent of Large Language Models (LLMs) has profoundly transformed the paradigms of information retrieval and problem-solving, enabling students to access information acquisition more efficiently to support learning. However, there is…

信息检索 · 计算机科学 2025-03-26 Yiming Luo , Ting Liu , Patrick Cheong-Iao Pang , Dana McKay , Ziqi Chen , George Buchanan , Shanton Chang

This paper is based on the study of existing literature, highlights the current state of the work proposed to implement technically enhanced learning. Technology developments and network infrastructure improvements, specifically the world…

计算机与社会 · 计算机科学 2014-02-12 J. M. Sneha , G. S. Nagaraja

Motivated by the common strategic activities in crowdsourcing labeling, we study the problem of sequential eliciting information without verification (EIWV) for workers with a heterogeneous and unknown crowd. We propose a reinforcement…

机器学习 · 计算机科学 2021-09-10 Jing Dong , Shuai Li , Baoxiang Wang

Computations related to learning processes within an organizational social network area require some network model preparation and specific algorithms in order to implement human behaviors in simulated environments. The proposals in this…

计算机与社会 · 计算机科学 2015-05-13 Przemyslaw Rozewski , Jaroslaw Jankowski , Piotr Brodka , Radoslaw Michalski

Explicit communication among humans is key to coordinating and learning. Social learning, which uses cues from experts, can greatly benefit from the usage of explicit communication to align heterogeneous policies, reduce sample complexity,…

机器学习 · 计算机科学 2023-03-01 Seth Karten , Siva Kailas , Huao Li , Katia Sycara

Large language models (LLMs) are increasingly used as conversational partners for learning, yet the interactional dynamics supporting users' learning and engagement are understudied. We analyze the linguistic and interactional features from…

计算与语言 · 计算机科学 2026-03-13 Shaz Furniturewala , Gerard Christopher Yeo , Kokil Jaidka

The successful application of machine learning (ML) methods becomes increasingly dependent on their interpretability or explainability. Designing explainable ML systems is instrumental to ensuring transparency of automated decision-making…

机器学习 · 计算机科学 2022-07-04 L. Zhang , G. Karakasidis , A. Odnoblyudova , L. Dogruel , A. Jung

Visual imitation learning provides an effective framework to learn skills from demonstrations. However, the quality of the provided demonstrations usually significantly affects the ability of an agent to acquire desired skills. Therefore,…

机器人学 · 计算机科学 2023-03-02 Ray Chen Zheng , Kaizhe Hu , Zhecheng Yuan , Boyuan Chen , Huazhe Xu

We demonstrate that LLMs may learn indicators of document usefulness and modulate their updates accordingly. We introduce random strings ("tags") as indicators of usefulness in a synthetic fine-tuning dataset. Fine-tuning on this dataset…

机器学习 · 计算机科学 2024-07-16 Dmitrii Krasheninnikov , Egor Krasheninnikov , Bruno Mlodozeniec , Tegan Maharaj , David Krueger

Educative platforms are at the heart of the development of online education. They can not only be reduced to technological aspects. Underlying models impact teaching and learning from the preparing of lessons to the learning sessions.…

人机交互 · 计算机科学 2007-12-12 Sébastien George , Alain Derycke

In the information era, how learners find, evaluate, and effectively use information has become a challenging issue, especially with the added complexity of large language models (LLMs) that have further confused learners in their…

信息检索 · 计算机科学 2025-01-07 Yiming Luo , Patrick Cheong-Iao Pang , Shanton Chang

Currently, educational platforms propose many tools of communication, production, labour division or collective work management in order to support collective activities. But it is not guaranteed that actors (instructional designers, tutors…

计算机与社会 · 计算机科学 2007-07-23 Christine Michel , Elise Garrot , Sebastien George

Social learning constitutes a fundamental framework for studying interactions among rational agents who observe each other's actions but lack direct access to individual beliefs. This paper investigates a specific social learning paradigm…

多智能体系统 · 计算机科学 2025-09-03 Andrea Da Col , Cristian R. Rojas , Vikram Krishnamurthy

Collaborations among various entities, such as companies, research labs, AI agents, and edge devices, have become increasingly crucial for achieving machine learning tasks that cannot be accomplished by a single entity alone. This is likely…

机器学习 · 计算机科学 2023-05-29 Xinran Wang , Qi Le , Ahmad Faraz Khan , Jie Ding , Ali Anwar

Information and communication technologies brought-in tools and techniques in the field of education that introduced new concepts of teaching and learning. Learning management system is one of the key tools used in educational institutes to…

计算机与社会 · 计算机科学 2013-09-03 Shariq Hussain , Zhaoshun Wang , Sabit Rahim

This paper considers the use of instruments to identify and estimate private and social returns to education within a model of employer learning. What an instrument identifies depends on whether it is hidden from, or transparent (i.e.,…

综合经济学 · 经济学 2021-11-02 Gaurab Aryal , Manudeep Bhuller , Fabian Lange

Large Language Models (LLMs) are increasingly used as learning companions, providing scaffolded explanations, hints, or step-by-step guidance. However, in current LLM-based learning scenarios, scaffolded content is primarily consumed…

人机交互 · 计算机科学 2026-03-10 Zixin Chen , Haotian Li , Zhe Liu , Huamin Qu , Xing Xie