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Christopher Petrie – Computer Science Education, 2024
Background and Context: The Domain-Specific Programming (DSP) platforms EarSketch and TunePad are being used widely in schools for coding novices. Existing studies on both platforms have mainly concentrated on attitudinal changes, leaving a gap in the literature. Objective: The purpose of this research was to advance our understanding of two…
Descriptors: Computer Software, Mental Computation, Programming, Interdisciplinary Approach
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Morgan Sleeper – Canadian Journal of Applied Linguistics / Revue canadienne de linguistique appliquée, 2024
Music plays many important roles in language revitalization, from attracting learners and fostering speech communities to supporting language learning. These effects, however, are largely independent from the skills which linguists bring to language revitalization. This study introduces one concrete way in which applied linguistics can directly…
Descriptors: Singing, Language Maintenance, American Indian Languages, Music
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Hui Yang – International Review of Research in Open and Distributed Learning, 2025
This study explored the impact of digital technologies on the development of musical skills among music students. A learning experiment was conducted with 66 students between the ages of 18 and 21 from China, France, Italy, and Spain. The study used the methods of a survey and online discussions. Participants verified that the present advancement…
Descriptors: Foreign Countries, Young Adults, Music Education, Music
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Christine Ladwig; Dana Schwieger; Reshmi Mitra – Information Systems Education Journal, 2025
The rapid rise of AI use is creating some very serious legal and ethical issues such as bias, discrimination, inequity, privacy violations, and--as creators everywhere fear--theft of protected intellectual property. Because AI platforms "learn" by scraping training materials available online or what is provided to them through their…
Descriptors: Copyrights, Plagiarism, Intellectual Property, Computer Software
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Ozlem Uzumcu; Hasan Acilmis – Technology, Knowledge and Learning, 2024
The aim of this study is to examine the integration of AI-powered tools into the lessons in the context of the diffusion of innovation theory. One of the main features of AI-powered tools is that they provide personalized results or feedback. For this reason, it is important for students to experience these tools in person, that is, to interact…
Descriptors: Instructional Innovation, Artificial Intelligence, Teaching Methods, Computer Software
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Büsra Aras; Sultan Bozkurt; Serap Önen – Novitas-ROYAL (Research on Youth and Language), 2024
This research aimed to scrutinize and delineate the figures of speech manifesting in English hit songs. A selection of songs from Spotify's Top 30 Hit Songs List was chosen as the study material. The study employed a qualitative content analysis approach to classify the type and calculate the frequency of the figures of speech within the corpus of…
Descriptors: Figurative Language, English (Second Language), Second Language Learning, Second Language Instruction
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Daniele Traversaro; Giorgio Delzanno; Giovanna Guerrini – Informatics in Education, 2024
Concurrency is a complex to learn topic that is becoming more and more relevant, such that many undergraduate Computer Science curricula are introducing it in introductory programming courses. This paper investigates the combined use of Sonic Pi and Team-Based Learning to mitigate the difficulties in early exposure to concurrency. Sonic Pi, a…
Descriptors: Misconceptions, Programming Languages, Computer Science Education, Undergraduate Students
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Lee Cheng – Technology, Pedagogy and Education, 2024
The rapid advancement of mobile and computing technologies has made the enjoyment of music in the video gaming experience more accessible and affordable, and has raised the interest of educators in the affordances of music-related games for informal music learning. This study aimed to examine the educational affordances of music-related games…
Descriptors: Video Games, Computer Software, Music Education, Music
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Nannan Guo – Education and Information Technologies, 2024
The introduction of modern vocal teaching techniques will promote the change in the music curricula in East Asia. The study explores the impact of the Vocal Image mobile application on musical self-esteem in East Asian youth. Encompassing 228 adolescents and young adults, it assesses the effectiveness of group activities within an interactive…
Descriptors: Music, Music Education, Computer Software, Teaching Methods
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Jing Peng – Interactive Learning Environments, 2024
Playing musical instruments involves a high level of skill based on the harmonious and esthetic reproduction of notes. The main aim of this study is to determine the impact of MusicFlow, an interactive music composition system, on the development of students' piano skills. The article also used a survey to determine the potential of using digital…
Descriptors: Musical Instruments, Music Education, Musical Composition, Computer Software
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Corey Sullivan – Update: Applications of Research in Music Education, 2024
The purpose of this scoping review was to synthesize literature regarding audio streaming in the P-12 music classroom by identifying the varied uses, recommendations for equitable access, and gaps in the knowledge base. A total of 23 publications met the criteria for inclusion. Ensemble and general music classrooms in elementary, middle, and high…
Descriptors: Music Education, Teaching Methods, Video Technology, Computer Software
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Melissa Warr; Marie K. Heath – Journal of Teacher Education, 2025
In this article, we explore the concept of a "hidden curriculum" within generative AI, specifically Large Language Models (LLMs), and its intersection with the hidden curriculum in education. We highlight how AI, trained on biased human data, can perpetuate societal inequities and discriminatory practices despite appearing objective. We…
Descriptors: Hidden Curriculum, Artificial Intelligence, Computer Software, Technology Integration
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Han Luo; Pan Gao – Computer Assisted Language Learning, 2024
This study reports on the results of a semester-long Chinese-American telecollaborative exchange via WeChat, in which students from China and the U.S. shared thematically similar songs in their respective languages and discussed relevant cultural topics that were suggested by the students. Various types of qualitative data collected from the…
Descriptors: Computer Mediated Communication, Intercultural Communication, Computer Software, Group Discussion