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Mengtian Chen – Computer Assisted Language Learning, 2024
This article discusses whether digital visual and audio feedback in learners' own voices improves their perception and production of lexical tones in Chinese as a foreign language. Forty-four beginners participated in a four-week training focused on the pronunciation of Mandarin Chinese tones at the word level. Half received digital feedback…
Descriptors: Feedback (Response), Computer Assisted Instruction, Pronunciation Instruction, Mandarin Chinese
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Joshua Kloppers – International Journal of Computer-Assisted Language Learning and Teaching, 2023
Automated writing evaluation (AWE) software is an increasingly popular tool for English second language learners. However, research on the accuracy of such software has been both scarce and largely limited in its scope. As such, this article broadens the field of research on AWE accuracy by using a mixed design to holistically evaluate the…
Descriptors: Grammar, Automation, Writing Evaluation, Computer Assisted Instruction
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Raihan Zainudin; Hutkemri Zulnaidi; Nofouz Mafarja; Mohd Zahurin Mohamed Kamali – Contemporary Educational Technology, 2025
Traditional rote learning methods often fail to adequately develop reasoning skills in mathematics, particularly among pre-university students. This study addresses challenges in fostering mathematical reasoning abilities, as evidenced by declining TIMSS results and resistance to pedagogical innovations. My online teaching with GeoGebra (MyOT_G+)…
Descriptors: Computer Assisted Instruction, Mathematics Instruction, Teaching Methods, Computer Uses in Education
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Mubarak M. Aldawsari; Abdullah D. Alenezi; John I. Liontas – Reading Matrix: An International Online Journal, 2025
Artificial Intelligence (AI) has rapidly become a pivotal force in education, offering personalized learning pathways and dynamic solutions to longstanding instructional challenges. In English as a Foreign Language (EFL) contexts, idiomatic competence remains a challenging aspect of language development, often eluding effective coverage through…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Technology Integration
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Bridey Lea; Myfany Turpin; Joel Liddle Perrurle – Innovation in Language Learning and Teaching, 2025
Purpose: In recent years, digital projects have created tools for learning languages, such as mobile applications (apps). In contexts where the language has low prestige, innovative digital learning tools can support language revitalisation. This article takes the Australian Kaytetye Indigemoji app as a case study in community resource…
Descriptors: Second Language Learning, Second Language Instruction, Foreign Countries, Computer Software
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Elsayed Issa; Gus Hahn-Powell – Language Learning & Technology, 2025
This study investigates the effectiveness of a computer-assisted pronunciation training (CAPT) system on second language learners' acquisition of three grammatical features. It presents a CAPT system on top of a phoneme-based, fine-tuned speech recognition model, and is intended to deliver explicit, corrective feedback on the pronunciation of the…
Descriptors: Grammar, Computer Assisted Instruction, Arabic, Second Language Instruction
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Iraya Yánez-Pérez; Radu Bogdan Toma; Jesús Ángel Meneses-Villagrá – School Science and Mathematics, 2025
Teachers often struggle to implement inquiry-based science teaching. To support them, IndagApp--a 3D educational app that offers curriculum-aligned, inquiry-based lesson plans--was designed. The app is rooted in the inquiry phases recommended in best-practices literature, which arguably align with most international standards. This study describes…
Descriptors: Usability, Computer Software, Private Schools, Public Schools
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Melanie W. Jensen; Peter J. Rich – International Journal of Designs for Learning, 2025
In the teaching of math-fact automaticity, most classroom teachers are unaware of research-based practices such as the use of a controlled response time, the scaffolded teaching of individual math facts, the limiting of exposure to new math facts, the separation of math facts with common operands, and even the definition of automaticity. As a…
Descriptors: Computer Software, Mathematics Instruction, Evidence Based Practice, Scaffolding (Teaching Technique)
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Ronald Soong; Katelyn Downey; Arvin Moser; Pablo Monje; Amy Jenne; Rajshree Ghosh Biswas; Monica Bastawrous; Rudraksha Majumdar; Daniel Henryk Lysak; Antonio Adamo; Benjamin Goerling; Venita Decker; Falko Busse; Santiago Dominguez; Effiette Sauer; Svetlana Mikhaylichenko; Vivienne Luk; Andre´ J. Simpson – Journal of Chemical Education, 2022
The recent popularity of benchtop (BT) NMR systems has prompted its applications in undergraduate laboratories around the world. Owing to their low maintenance cost, due to the lack of a superconducting magnetic core, and simple operation, these BT NMR systems can fulfill many of the learning objectives outlined in the undergraduate organic…
Descriptors: Undergraduate Study, College Science, Science Laboratories, Computer Assisted Instruction
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Dragonflame, Chrystal Sapphire; Olsen, Amanda A.; Tommerdahl, Jodi M. – ORTESOL Journal, 2021
With over 91% of Americans now owning cellular devices (PEW Research Center, 2019), mobile applications (apps), like those used for foreign language learning (FLL), are becoming increasingly popular (Yu, 2019). However, it is unclear what research has been conducted to determine how effective mobile apps are at teaching foreign languages. To…
Descriptors: Electronic Learning, Handheld Devices, Computer Assisted Instruction, Computer Software
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Aleksandar Milenkovic; Nemanja Vucicevic – International Electronic Journal of Mathematics Education, 2024
The contents of calculus, known for their complexity, present significant challenges for students, particularly in mastering multiple integrals and effectively visualizing related concepts. The transition to distance learning prompted by the COVID-19 pandemic has further complicated the learning process in multiple integrals. In line with this and…
Descriptors: Mathematics Instruction, Mathematics Achievement, Calculus, COVID-19
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Jackie Dormer; Kari A. B. Chew; Colette Child; Sara Child; Lokosh; Juliet Morgan; Heather Souter – Canadian Journal of Applied Linguistics / Revue canadienne de linguistique appliquée, 2024
For many Indigenous Nations and organizations, computer-assisted language learning (CALL) courses have become an effective means to support Indigenous language revitalization and reclamation (ILR) efforts. Engaging a methodology of storywork and highlighting relationships between relevant fields of ILR, CALL, and applied linguistics, this article…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Decision Making
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Egbert, Jesse; Burch, Brent – Applied Linguistics, 2023
The words in a language or language variety are often rank ordered in lists that are meant to reflect the relative importance of those words to language users and learners of a language. This rank ordering is done on the basis of the relative prevalence of words in a corpus. Lexical prevalence is often operationalized as measures of frequency,…
Descriptors: Word Lists, Incidence, Computational Linguistics, Textbooks
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Suparatulatorn, Raweerote; Jun-on, Nipa; Hong, Ye-Yoon; Intaros, Pimpaka; Suwannaut, Sarawut – Journal on Mathematics Education, 2023
In Thai mathematics classrooms, there is a lack of attention to support students' mathematical problem-solving skills by working from real-world contexts that make sense to students. This study aimed to investigate how preservice mathematics teachers' problem-solving can be explored in their content course, intervening with technology and…
Descriptors: Problem Solving, Calculus, Mathematics Instruction, State Universities
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Seng Chee Tan; Chee Kit Looi; Yin Ling Cheung; Sheng Hung Chung; Starion Junhan Lim; Wai Hoe Wong – Interactive Learning Environments, 2023
This study focuses on university students' experience of peer tutoring supported by a mobile application called MENTOR (Mobile Education Networked Tutoring On Request) that was developed by the research team. The development of the mobile application was underpinned by theories related to self-directed learning, self-regulated learning, students'…
Descriptors: Peer Teaching, Synchronous Communication, Student Attitudes, Computer Software
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