Analysis of Learning Characteristics of Online Learners in the Context of Smart Education DOI Creative Commons

Weihua Weihua

ICST Transactions on Scalable Information Systems, Год журнала: 2024, Номер 11(5)

Опубликована: Май 2, 2024

This article aims to explore the learning characteristics of online learners within smart education framework, with a specific emphasis on how they might use Internet Things (IoT) technologies improve their educational experience. The term "online learning" refers process acquiring knowledge via electronic means, most often global web. Online education, e-learning, web-based learning, and computer-assisted all share this term. challenging such for students are technical issues, lack motivation, slow loading times in courses. Hence, research, Things-empowered Smart Education (IoT-SE) Framework has been improved by leveraging IoT tech that tracks interact resources environment. paper revolutionize through tailored instructions targeting individuals' unique needs fads as availed IoT-SE system. offers evaluation parameters level engagement among learners, retention rates acquired while studying e-courses, satisfaction from an program. Besides overcoming limitations associated conventional e-learning approaches, systems like technology promise more effective pedagogy student learners.

Язык: Английский

Automatically exploring learning experience, interaction pattern, challenge-skill balance, and their relationships in online learning DOI

J. Zhang,

Xin Wei

Interactive Learning Environments, Год журнала: 2025, Номер unknown, С. 1 - 29

Опубликована: Апрель 7, 2025

Язык: Английский

Процитировано

0

An evaluation of machine learning approaches in educational environments: a systematic literature review DOI Creative Commons
Lucio Agostinho Rocha

Texto Livre Linguagem e Tecnologia, Год журнала: 2025, Номер 18

Опубликована: Янв. 1, 2025

Abstract The goal of this article is to investigate how methodologies based on machine learning are being applied in educational environments enhance the quality graduation courses. method presented through a systematic review literature main systems artificial intelligence smart classrooms. results indicate that popularization learning, widespread use these technologies presents new challenges for educators as agents who strategies alongside their learners. with recent faces regarding veracity, soundness, and information. In classroom, it important take into account legal aspects ethics principles involved advances. Besides, issues involve popular platforms combine data from multiple sources generate useful information reduced human intervention. Nowadays, society lives connected myriad interconnected computational devices. sense, classrooms evolving spaces where students learn together collaborative way shape soft-skills abilities, such communication, relationship, collaboration.

Язык: Английский

Процитировано

0

Research on the Evolution Structure of Fragment Disordering Public Opinion in College Students’ Network Circle Group DOI Open Access

Huawei Zhi,

Yan Qiao

Social Networking, Год журнала: 2024, Номер 13(04), С. 45 - 65

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

1

Analysis of Learning Characteristics of Online Learners in the Context of Smart Education DOI Creative Commons

Weihua Weihua

ICST Transactions on Scalable Information Systems, Год журнала: 2024, Номер 11(5)

Опубликована: Май 2, 2024

This article aims to explore the learning characteristics of online learners within smart education framework, with a specific emphasis on how they might use Internet Things (IoT) technologies improve their educational experience. The term "online learning" refers process acquiring knowledge via electronic means, most often global web. Online education, e-learning, web-based learning, and computer-assisted all share this term. challenging such for students are technical issues, lack motivation, slow loading times in courses. Hence, research, Things-empowered Smart Education (IoT-SE) Framework has been improved by leveraging IoT tech that tracks interact resources environment. paper revolutionize through tailored instructions targeting individuals' unique needs fads as availed IoT-SE system. offers evaluation parameters level engagement among learners, retention rates acquired while studying e-courses, satisfaction from an program. Besides overcoming limitations associated conventional e-learning approaches, systems like technology promise more effective pedagogy student learners.

Язык: Английский

Процитировано

0