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Päivi Kousa; Hannele Niemi – Interactive Learning Environments, 2023
The aim of this study is to identify the ethical challenges, solutions and needs of educational technology (EdTech) companies. Qualitative data was collected in interviews with seven experts from four companies, and the data was analysed using inductive content analysis. The four main areas of challenges were ambiguous regulations, inequalities in…
Descriptors: Ethics, Artificial Intelligence, Educational Technology, Social Responsibility
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Andrew Kwok-Fai Lui; Sin-Chun Ng; Stella Wing-Nga Cheung – Interactive Learning Environments, 2024
The technology of automated short answer grading (ASAG) can efficiently process answers according to human-prepared grading examples. Computer-assisted acquisition of grading examples uses a computer algorithm to sample real student responses for potentially good examples. The process is critical for optimizing the grading accuracy of machine…
Descriptors: Grading, Computer Uses in Education, Educational Technology, Artificial Intelligence
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Kanwal Zahoor; Narmeen Zakaria Bawany – Interactive Learning Environments, 2024
Mobile application developers rely largely on user reviews for identifying issues in mobile applications and meeting the users' expectations. User reviews are unstructured, unorganized and very informal. Identifying and classifying issues by extracting required information from reviews is difficult due to a large number of reviews. To automate the…
Descriptors: Artificial Intelligence, Computer Oriented Programs, Courseware, Learning Processes
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Rosmansyah, Yusep; Putro, Budi Laksono; Putri, Atina; Utomo, Nur Budi; Suhardi – Interactive Learning Environments, 2023
In this article, smart learning environment (SLE) is defined as a hybrid learning system that provides learners and other stakeholders with a joyful learning process while achieving learning outcomes as a result of the employed intelligent tools and techniques. From literature study, existing SLE models and frameworks are difficult to understand…
Descriptors: Electronic Learning, Artificial Intelligence, Educational Technology, Technology Uses in Education
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Saman Ebadi; Asieh Amini – Interactive Learning Environments, 2024
Artificial Intelligence (AI) technology in the educational context, particularly chatbotics, has made significant changes in learning English. This mixed-methods study is intended to explore university students' attitudes toward the potential role of artificial intelligence (AI)-assisted mobile applications. Meanwhile, the role of social presence…
Descriptors: Artificial Intelligence, Educational Technology, English (Second Language), Second Language Learning
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S. Sageengrana; S. Selvakumar; S. Srinivasan – Interactive Learning Environments, 2024
Students are termed "multitaskers," and it is likely that they easily fall prey to other subjects or topics that most interest them. They occasionally took heed or gave close and thoughtful attention to the lectures they were on. In the current educational system, our young generations receive materials from their leftovers, and their…
Descriptors: Electronic Learning, Dropouts, Student Behavior, Student Interests
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Sinan Hopcan; Elif Polat; Mehmet Emin Ozturk; Lutfi Ozturk – Interactive Learning Environments, 2023
The role of techniques involving Artificial Intelligence (AI) has been becoming increasingly important in educational settings. This study aims to reveal the recent trends in research into artificial intelligence in special education by using the systematic review method. Across the 29 studies published between 2008 and 2020 that are reviewed…
Descriptors: Artificial Intelligence, Special Education, Students with Disabilities, Program Effectiveness
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Shruti Priya; Shubhankar Bhadra; Sridhar Chimalakonda; Akhila Sri Manasa Venigalla – Interactive Learning Environments, 2024
Owing to the predominant role of Machine Learning(ML) across domains, it is being introduced at multiple levels of education, including K-12. Researchers have leveraged games, augmented reality and other ways to make learning ML concepts interesting. However, most of the existing games to teach ML concepts either focus on use-cases and…
Descriptors: Artificial Intelligence, Secondary School Students, Video Games, Visual Aids
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Radosavljevic, Vitomir; Radosavljevic, Slavica; Jelic, Gordana – Interactive Learning Environments, 2022
This paper introduces the smart classroom learning model based on the concept of ambient intelligence. By analyzing a smart classroom, the ambient intelligence system detects a student and determines their level of fatigue based on the data about their previous daily academic activities. This information is then used to assign the student the…
Descriptors: Virtual Classrooms, Educational Technology, Technology Uses in Education, Artificial Intelligence
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Kangxu Cui – Interactive Learning Environments, 2023
The article is devoted to the study of the possibilities of augmented reality (AR) mobile applications in acquiring piano skills. The study presents concept of the online course "Piano for Beginners" with the implementation in the educational practices of mobile applications: Flowkey -- Learn Piano; Simply Piano; Skoove: Learn to Play…
Descriptors: Foreign Countries, Music Education, College Students, Student Attitudes
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Gang Lei – Interactive Learning Environments, 2024
With the emergence of the Industrial Revolution 4.0, modern technologies such as cloud computing, artificial intelligence, and big data are profoundly transforming the education ecosystem. The development of education is not only faced with huge challenges but also contains rare opportunities. New concepts such as deep learning, adaptive learning,…
Descriptors: Educational Technology, Artificial Intelligence, Blended Learning, Data
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Agostino Marengo; Alessandro Pagano; Kamal Ahmed Soomro – Interactive Learning Environments, 2024
Soft skills are interpersonal, communication, and personal attributes that enable individuals to interact effectively with others in personal and workplace settings. Despite the significance of soft skills for career success, these skills are not necessarily taught in traditional academic settings. Consequently, education institutions must adopt…
Descriptors: Game Based Learning, Soft Skills, Student Evaluation, Instructional Effectiveness
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Zoran Sevarac; Jelena Jovanovic; Vladan Devedzic; Bojan Tomic – Interactive Learning Environments, 2023
The paper proposes EXPLODE, a new model of exploratory learning environment for teaching and learning neural networks. The EXPLODE model is about pedagogically instrumenting a software development environment to transform it into an exploratory learning environment for neural networks. Such an environment is particularly aimed for students who are…
Descriptors: Models, Discovery Learning, Artificial Intelligence, Computer Simulation
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Zhisheng Chen – Interactive Learning Environments, 2024
This study aims to explore how the Metaverse platform could be applied to the field of online education, the benefits it brings, and the challenges posed by the application of Metaverse to online education. The study analyzes the benefits of immersive learning brought about by Metaverse and its potential to save education costs, enhance efficiency…
Descriptors: Technology Uses in Education, Electronic Learning, Artificial Intelligence, Cost Effectiveness
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Yuan Li – Interactive Learning Environments, 2024
The aim of this paper is to determine both the influence of musical compositions' genres on the students' musical literacy formed using artificial intelligence technologies and the musical literacy skills among music and non-music major students. Accordingly, the method of analysis was used to identify the most common musical genres in the Chinese…
Descriptors: Music Education, Majors (Students), Nonmajors, Folk Culture
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