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Rahayu, Nur W.; Ferdiana, Ridi; Kusumawardani, Sri S. – Education and Information Technologies, 2023
Learning path recommender systems are emerging. Given the popularity of ontology/knowledge-based systems in adaptive learning, this work reviews learning path in ontology-based recommender systems. The review covers recommendation trends, ontology use, recommendation process, recommendation technique, contributing factors, and recommender…
Descriptors: Artificial Intelligence, Learning Processes, Educational Technology, Individualized Instruction
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Yitong Chen; Zerong Xie; Dickson K. W. Chiu – Education and Information Technologies, 2024
This research studies the motivational factors used in educational video games through the lens of 6 C's learning motivation model with text mining of the players' reviews and comments. This research seeks to offer insight for game producers and educational institutions to investigate the effectiveness of these motivators for increasing player…
Descriptors: Educational Games, Video Games, Motivation Techniques, Technology Uses in Education
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Fan Zhang; Xiangyu Wang; Xinhong Zhang – Education and Information Technologies, 2025
Intersection of education and deep learning method of artificial intelligence (AI) is gradually becoming a hot research field. Education will be profoundly transformed by AI. The purpose of this review is to help education practitioners understand the research frontiers and directions of AI applications in education. This paper reviews the…
Descriptors: Learning Processes, Artificial Intelligence, Technology Uses in Education, Educational Research
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Yinglin Liu; Rui Li; Yue Diao; Meixue Hou; Hua Yuan; Xiuying Zhang – Education and Information Technologies, 2025
Virtual reality (VR) technology has been widely used in nursing laboratory courses to effectively making up for the shortcomings of traditional teaching. However, challenges such as cell phone addiction, negative emotions, and reduced communication between teachers and students still exist during the application process, which makes it difficult…
Descriptors: Undergraduate Students, Learning Processes, Preferences, Nursing Students
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Heikkinen, Sami; Saqr, Mohammed; Malmberg, Jonna; Tedre, Matti – Education and Information Technologies, 2023
During the past years scholars have shown an increasing interest in supporting students' self-regulated learning (SRL). Learning analytics (LA) can be applied in various ways to identify a learner's current state of self-regulation and support SRL processes. It is important to examine how LA has been used to identify the need for support in…
Descriptors: Independent Study, Self Management, Learning Analytics, Intervention
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Wijaya, Mahaning Indrawaty – Education and Information Technologies, 2023
ERP courses have been running for decades and are applied by various university majors, ranging from business school, information systems, and computer science to industrial engineering. Every major has a different ERP curriculum that is adapted based on the nature and goals of the major. In conjunction with this, a lot of research has been…
Descriptors: Business Administration Education, Entrepreneurship, Curriculum Development, Business Schools
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Pritpal Singh Bhullar; Mahesh Joshi; Ritesh Chugh – Education and Information Technologies, 2024
ChatGPT has emerged as a significant subject of research and exploration, casting a critical spotlight on teaching and learning practices in the higher education domain. This study examines the most influential articles, leading journals, and productive countries concerning citations and publications related to ChatGPT in higher education, while…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Higher Education
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Xinlei Li; Guoyuan Sang; Martin Valcke; Johan van Braak – Education and Information Technologies, 2024
Computational thinking (CT) is valued as a thinking process that is required to adapt to the development of curriculum in primary education. In the context of modern information technology, English as a language subject emphasizes the necessity for changes in both learning and teaching modes. However, there is a lack of up-to-date synthesis…
Descriptors: Computer Science Education, Technological Literacy, Pedagogical Content Knowledge, Elementary School Students
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Kumar, Bimal Aklesh; Goundar, Munil Shiva – Education and Information Technologies, 2023
Mobile language learning (MLL) is an emerging field of research, and many MLL applications have been developed over the years. In this paper, a systematic literature review (SLR) was conducted to establish a body of knowledge on the development of MLL applications. The SLR analyzed forty seven papers from seven different digital libraries…
Descriptors: Second Language Learning, Second Language Instruction, Telecommunications, Handheld Devices
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Ana Stojanov; Ben Kei Daniel – Education and Information Technologies, 2024
The need for data-driven decision-making primarily motivates interest in analysing Big Data in higher education. Although there has been considerable research on the value of Big Data in higher education, its application to address critical issues within the sector is still limited. This systematic review, conducted in December 2021 and…
Descriptors: Higher Education, Learning Analytics, Well Being, Decision Making
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Stancin, Kristian; Poscic, Patrizia; Jaksic, Danijela – Education and Information Technologies, 2020
Ontologies are used with great success in education because they allow to formulate the representation of a learning domain by specifying all concepts involved, relations between concepts and all properties and conditions that exist. The goal of this paper is to present the field of ontologies and give an overview of recent research in the field,…
Descriptors: Taxonomy, Educational Research, Literature Reviews, Models
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De-Chih Lee; Ching-Yi Chang – Education and Information Technologies, 2025
During the digital age, self-directed learning has emerged as an effective teaching strategy in designing class activities within the educational sphere, prompting an investigation into its impact on the effectiveness of instruction in the K-12 context. This article presents a meta-analysis aimed at examining the efficacy of self-directed learning…
Descriptors: Elementary School Students, Secondary School Students, Independent Study, Active Learning
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Mohan Honnagudi Gururaj; Nandish Malleshappa; Sankhya Nagesh Nayak; Devaraj Fakkirappa Vadenapur; Benak Patel Medugondanahalli Puradaswamy – Education and Information Technologies, 2024
A Study with undergraduate engineering students was conducted in order to evaluate whether cognitive and comprehending ability can be improved by incorporating the tool based learning. The simulator tools and virtual labs were used to represent tool based learning. The study was conducted on three different years of students. In the first stage…
Descriptors: Undergraduate Students, Engineering Education, Evaluation, Comprehension
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Mayweg-Paus, Elisabeth; Zimmermann, Maria; Le, Nguyen-Thinh; Pinkwart, Niels – Education and Information Technologies, 2021
In everyday life, people seek, evaluate, and use online sources to underpin opinions and make decisions. While education must promote the skills people need to critically question the sourcing of online information, it is important, more generally, to understand how to successfully promote the acquisition of any skills related to seeking online…
Descriptors: Cooperative Learning, Help Seeking, Online Searching, Persuasive Discourse
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Nafiseh Taghizadeh Kerman; Seyyed Kazem Banihashem; Mortaza Karami; Erkan Er; Stan van Ginkel; Omid Noroozi – Education and Information Technologies, 2024
Online peer feedback is an effective instructional strategy to enhance students' learning processes and outcomes. However, the literature lacks a comprehensive understanding of the influential factors that play a key role in the effective implementation of online peer feedback. This systematic review provides an overview of the current state of…
Descriptors: Feedback (Response), Student Characteristics, Personality Traits, Learning Processes
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