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Jing Shi; Na Wan; Roslina Ibrahim – International Journal of Web-Based Learning and Teaching Technologies, 2024
The application of computer technology has revolutionized and promoted the traditional mode of piano teaching. Nowadays, many companies and institutions have begun to apply computer technology to online piano teaching. This paper analyzes the difficulties faced by students in piano teaching and the development of piano assistant practice and…
Descriptors: Music Education, Musical Instruments, Teaching Methods, Algorithms
Yang Jiang; Beata Beigman Klebanov; Jiangang Hao; Paul Deane; Oren E. Livne – Journal of Computer Assisted Learning, 2025
Background: Writing is integral to educational success at all levels and to success in the workplace. However, low literacy is a global challenge, and many students lack sufficient skills to be good writers. With the rapid advance of technology, computer-based tools that provide automated feedback are being increasingly developed. However, mixed…
Descriptors: Feedback (Response), Writing Evaluation, Middle School Students, High School Students
Zixi Li; Curtis J. Bonk – Computer Assisted Language Learning, 2025
The research study explored online language learners' self-directed language learning (SDLL) experiences, benefits, motivations, and challenges when employing educational tools like Duolingo in an out of classroom context. To gain insights into SDLL, in-depth and semi-structured interviews with 10 Duolingo users were conducted. Study results…
Descriptors: Computer Software, Independent Study, Second Language Learning, Second Language Instruction
Mortaza Jamshidian; Parsa Jamshidian – Journal of Statistics and Data Science Education, 2024
Using software to teach statistical inference in introductory courses opens the door for methods and practices that are more conceptually appealing to students. With an increasing number of fields requiring competency in statistics including data science, natural and social sciences, public health and more, it is crucial that we as instructors…
Descriptors: Computer Software, Computer Assisted Instruction, Teaching Methods, Statistics Education
Stefano Scippo; Serena Madiai; Stefano Cuomo – Journal of Information Technology Education: Research, 2025
Aim/Purpose: This study aims to assess the effectiveness of a tessellation-based instructional program supported by digital technologies for enhancing geometric learning in primary school pupils. Background: Digital education offers various benefits, including increased motivation and engagement, and has been shown to be effective in teaching…
Descriptors: Mathematics Instruction, Geometry, Computer Assisted Instruction, Elementary School Students
Kubra Acikgul; Kubra Onuk Keskin – International Journal of Education in Mathematics, Science and Technology, 2025
This study aimed to investigate research trends regarding the use of GeoGebra in educational research through bibliometric analysis. 301 articles published in the Web of Science database between 2009 and 2023 were included in the research. Web of Science database and VOSviewer program were used during bibliometric analysis. Performance analysis…
Descriptors: Computer Software, Mathematics Instruction, Authors, Information Retrieval
Jennifer Nakamura; Maddie Cincebeaux; Todd Grindal – SRI Education, a Division of SRI International, 2023
Digital learning programs are a promising tool to support teachers in providing students with strong early literacy instruction, but more research is needed to understand their effectiveness. Sound Town is a digital early literacy program that provides children in prekindergarten with instruction and practice in foundational literacy skills, using…
Descriptors: Preschool Education, Preschool Teachers, Emergent Literacy, Electronic Learning
Amber Wright; David MacKay; Stephanie Su – Utah State Board of Education, 2024
The Early Interactive Software Program (EISP) was designed to increase the literacy skills of all students in K-3 through adaptive computer-based literacy software. Eleven software vendors were selected by schools and qualified by the state to provide reading software programs through the EISP in 2023-2024. The vendors used during the school year…
Descriptors: Computer Assisted Instruction, Computer Software, Early Childhood Education, Reading Instruction
Kazemitabar, Maedeh A.; Lajoie, Susanne P.; Li, Tianshu – International Journal of Computer-Supported Collaborative Learning, 2022
Computer-supported collaborative learning (CSCL) environments may at times become socio-emotionally tense and pose challenges that may have detrimental effects on mutual trust and shared mental models. Objective: This study aims to examine and classify general teamwork challenges in a novel but authentic CSCL setting (hackathon) to identify…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Teamwork, Barriers
Kovács, Zoltán; Recio, Tomás; Richard, Philippe R.; Van Vaerenbergh, Steven; Vélez, M. Pilar – International Journal of Mathematical Education in Science and Technology, 2022
In this study, we explore automated reasoning tools (ART) in geometry education and we argue that these tools are part of a wider, nascent ecosystem for computer-supported geometric reasoning. To provide some context, we set out to summarize the capabilities of ART in GeoGebra (GGb), and we discuss the first research proposals of its use in the…
Descriptors: Computer Assisted Instruction, Mathematics Instruction, Geometry, Computer Software
Yamauchi, Taisei; Flanagan, Brendan; Nakamoto, Ryosuke; Dai, Yiling; Takami, Kyosuke; Ogata, Hiroaki – Smart Learning Environments, 2023
In recent years, smart learning environments have become central to modern education and support students and instructors through tools based on prediction and recommendation models. These methods often use learning material metadata, such as the knowledge contained in an exercise which is usually labeled by domain experts and is costly and…
Descriptors: Mathematics Instruction, Classification, Algorithms, Barriers
Tom Neuschafer – Journal of Educators Online, 2024
This research used qualitative netnography to examine the use of Duolingo German discussion boards among users of varying levels of engagement. The sample contained six participants of various levels of engagement. The criteria for selecting participants were based on usage counts in the discussion board community. This study aimed to examine…
Descriptors: Second Language Learning, Second Language Instruction, German, Computer Software
Ana Lidia Franzoni Velázquez; Esperanza Huerta; Scott Jensen – Discover Education, 2024
This two-part study describes a learning exercise including a video and a worksheet designed to raise students' awareness of the need to evaluate the completeness of references generated by ChatGPT. The first part of the study assesses the completeness and relevance of academic references generated by ChatGPT using four prompts and three versions…
Descriptors: Artificial Intelligence, Students, Instructional Material Evaluation, Computer Assisted Instruction
Michael E. J. Stouthandel; Lena Van Beek; Joris Van de Velde; Carl Vangestel; Tom Van Hoof – Anatomical Sciences Education, 2024
For this pilot study, the use of the digital 3D anatomy application Complete Anatomy was evaluated as a non-mandatory additional study tool throughout the semester. The aim of the study was to investigate if the Complete Anatomy usage time had an effect on final exam grades and how the app was used post-COVID-19. This cross-sectional study asked…
Descriptors: College Freshmen, Physical Therapy, Allied Health Occupations Education, Visual Aids
Niklas Humble; Jonas Boustedt; Hanna Holmgren; Goran Milutinovic; Stefan Seipel; Ann-Sofie Östberg – Electronic Journal of e-Learning, 2024
Artificial Intelligence (AI) and related technologies have a long history of being used in education for motivating learners and enhancing learning. However, there have also been critiques for a too uncritical and naïve implementation of AI in education (AIED) and the potential misuse of the technology. With the release of the virtual assistant…
Descriptors: Cheating, Artificial Intelligence, Technology Uses in Education, Computer Science Education

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