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Technology Related Assistance…1
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Sequeira Cesar de Oliveira, Juliana – ProQuest LLC, 2023
The present study sought to evaluate trial designs and training designs that are commonly used in popular commercially available computer-assisted language-learning (CALL) programs. The first two experiments (Experiment 1a and 1b) compared the effects of passive viewing and active student response methods in vocabulary learning. Contingencies on…
Descriptors: Computer Assisted Instruction, Teaching Methods, Computer Software, Vocabulary Development
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Ryan Angga Pratama; Sedat Kanadli – Journal of Educational Technology, 2024
This study aims to determine the effectiveness of GeoGebra-assisted learning on students' mathematical representation through a meta-analysis study and possible moderator variables to moderate it. Experimental studies were obtained from Google Scholar and ERIC databases and then included in this meta-analysis study were 23 studies that met the…
Descriptors: Computer Software, Mathematics Education, Computer Assisted Instruction, Multimedia Materials
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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
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Chung Kwan Lo; Davy Tsz Kit Ng; Fletcher Ng – International Journal of Science and Mathematics Education, 2024
In the post-pandemic world, metaverse technology has become a popular approach to facilitating students' online learning experiences. Drawing on Kolb's experiential learning theory, we created immersive scenes using CoSpaces Edu, a 'mirror-world' metaverse platform that enables students to observe mathematical properties virtually. We applied a…
Descriptors: Mathematical Concepts, Mathematics Education, Independent Study, Experiential Learning
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Jodi M. Tommerdahl; Chrystal Sapphire Dragonflame; Amanda A. Olsen – Computer Assisted Language Learning, 2024
A systematic review examining the efficacy of commercially available foreign language-learning apps (FLL) was completed. A database search of ERIC, PsychINFO, and LearnTechLib produced 1,786 journal articles. After applying specific inclusion and exclusion criteria based on Burston's seminal study (2015) requiring a minimum number of 10…
Descriptors: Computer Assisted Instruction, Teaching Methods, Second Language Learning, Second Language Instruction
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Shamini Shetye – Studies in Applied Linguistics & TESOL, 2024
The recent advancement in technology has attracted learners' attention worldwide to Generative Artificial Intelligence (GenAI) for educational purposes. While GenAI has shown promising results for general language purposes (Godwin-Jones, 2023; Xiao & Zhi, 2023), the potential of GenAI for language learning has not been fully explored. This…
Descriptors: Artificial Intelligence, Computer Software, Second Language Learning, Second Language Instruction
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Jacqueline Zammit – Technology in Language Teaching & Learning, 2024
The Chat Generative Pretrained Transformer (ChatGPT) is a state-of-the-art artificial intelligence (AI) language model developed by OpenAI. It employs advanced deep-learning algorithms to generate text that mimics human language. ChatGPT, launched on November 30, 2022, has rapidly gained widespread recognition. Its influence on the future of…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Second Language Learning
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Long, Stephanie; Volpe, Robert J.; Briesch, Amy M. – Psychology in the Schools, 2023
The importance of letter sound knowledge (LSK) as a precursor to later literacy skills has been well-documented. Since English language learners (ELLs), or students who first acquired a language other than English, continue to underperform in reading compared to their English-speaking peers, they are particularly at-risk for reading and academic…
Descriptors: Computer Assisted Instruction, Tutoring, Tutorial Programs, Phoneme Grapheme Correspondence
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Nouf J. Aljohani – Computer Assisted Language Learning, 2025
This paper proposes an updated framework for the evaluation of the computer-assisted language learning (CALL) framework, further developed from Chapelle (2001) and González-Lloret and Ortega (2014). Based on a review of prominent previous CALL evaluation frameworks, an exploration of relevant literature in formal evaluation and my own first-hand…
Descriptors: Task Analysis, Second Language Learning, Second Language Instruction, Computer Assisted Instruction
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Birgin, Osman; Acar, Hatice – International Journal of Mathematical Education in Science and Technology, 2022
The aim of this study is to determine the effect of computer-supported collaborative learning (CSCL) using GeoGebra software on 11th grade students' achievement in exponential and logarithmic functions. This study was carried out with quasi-experimental design consisting of a pre-test and a post-test with the experimental group and the control…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Computer Software, Grade 11
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Erëmirë R. Aliu; Teuta Jusufi Zenku; Egzona Iseni; Shpetim Rexhepi – International Electronic Journal of Mathematics Education, 2025
This study explores the effectiveness of GeoGebra in enhancing students' understanding of vectors in mathematics education. The research compares traditional teaching methods with the application of GeoGebra to determine its impact on conceptual and procedural knowledge acquisition. Vectors are often challenging for students to grasp due to their…
Descriptors: Mathematics Education, Mathematics Instruction, Teaching Methods, Computer Assisted Instruction
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Sri Yuliani; Khulaifiyah; Andi Idayani – Pegem Journal of Education and Instruction, 2024
The Objective of the study was to ascertain how Rosetta Stone in English class affected students' ability to pronounce English. This methodology employed a quasi-experimental pretest-posttest design with 30 samples split into two groups. The technique used was non-probability sampling. Pronunciation test technique was employed for data collecting.…
Descriptors: Computer Software, Computer Assisted Instruction, Teaching Methods, Pronunciation 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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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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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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