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Showing 1 to 15 of 22 results Save | Export
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Mimi Ismail; Ahmed Al - Badri; Said Al - Senaidi – Journal of Education and e-Learning Research, 2025
This study aimed to reveal the differences in individuals' abilities, their standard errors, and the psychometric properties of the test according to the two methods of applying the test (electronic and paper). The descriptive approach was used to achieve the study's objectives. The study sample consisted of 74 male and female students at the…
Descriptors: Achievement Tests, Computer Assisted Testing, Psychometrics, Item Response Theory
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Tsabari, Stav; Segal, Avi; Gal, Kobi – International Educational Data Mining Society, 2023
Automatically identifying struggling students learning to program can assist teachers in providing timely and focused help. This work presents a new deep-learning language model for predicting "bug-fix-time", the expected duration between when a software bug occurs and the time it will be fixed by the student. Such information can guide…
Descriptors: College Students, Computer Science Education, Programming, Error Patterns
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Dillon, Thomas; Wells, Donald – English Teaching, 2023
This study examined effects of pronunciation training using automatic speech recognition technology on common pronunciation errors of Korean English learners. Participants were divided into two groups. One group was given instruction and training about the use of automatic speech recognition for pronunciation practice. The other group was not…
Descriptors: Pronunciation, English (Second Language), Second Language Instruction, English Language Learners
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Ohood Swar; Mohammed Mohsen – Interactive Learning Environments, 2023
Over the past few years, many studies have examined the cognitive processes of students when translating texts from one language to another. However, little is known about the cognitive processes of Arab translators when translating texts from their heritage language into English. This study aims to track the cognitive processes of students as…
Descriptors: Language Processing, Psycholinguistics, Native Language, Second Language Learning
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Christopher Saarna – International Journal of Technology in Education, 2024
This study seeks to clarify whether teachers are able to distinguish between essays written by English L2 students or generated by ChatGPT. 47 instructors who hold experience teaching English to native speakers of Japanese in universities or other higher education institutions were tested on whether they could identify between human written essays…
Descriptors: Identification, Artificial Intelligence, Computer Software, Grammar
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Sudatip Prapunta – MEXTESOL Journal, 2025
This research study aims to explore students' perceptions and reflections on the effectiveness of project-based learning (PBL) in a Thai-English translation course in the EFL context. The participants of this study included forty-nine students who were enrolled in the Thai-English translation course. The participants were asked to produce a…
Descriptors: Student Projects, Second Language Learning, Second Language Instruction, English (Second Language)
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Lei, Jiun-Iung – English Language Teaching, 2020
While Automated Writing Evaluation (AWE) can perform an error diagnosis (Chen & Cheng, 2008), previous studies used to exclude it from the process of error analysis. This study aimed to examine the reactions of Grammarly Premium towards a group of night school students' English writings at a Taiwanese technical university. The participants of…
Descriptors: Writing Evaluation, Computer Software, Error Analysis (Language), Second Language Learning
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Yoke Lian Lau – International Society for Technology, Education, and Science, 2023
Three categories of audio recordings, a web service platform, and commercial software were involved in this analysis process. The three categories of audio recordings included eight filtered student recordings, an audio recording provided by a Mandarin instructor from University Malaysia Sabah, and an audio recording generated by Text-to-Speech…
Descriptors: Speech Communication, Acoustics, Mandarin Chinese, Second Language Learning
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Xiao, Wenqi; Park, Moonyoung – International Journal of Computer-Assisted Language Learning and Teaching, 2021
With the advancement of automatic speech recognition (ASR) technology, ASR-based pronunciation assessment can diagnose learners' pronunciation problems. Meanwhile, ASR-based pronunciation training allows more opportunities for pronunciation practice. This study aims to investigate the effectiveness of ASR technology in diagnosing English…
Descriptors: Automation, Computer Software, Handheld Devices, Diagnostic Tests
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Clark, Renee M.; Dickerson, Samuel J. – IEEE Transactions on Education, 2019
Contribution: This paper demonstrates positive outcomes from reflection-on-action by engineering students, including meaningful insights on their performance, professional and academic practices, and design knowledge as well as promising preliminary exam results. Background: Literature from the engineering education community underlines the…
Descriptors: Experiential Learning, Learning Theories, Electronics, Engineering Education
Velez, Martin – ProQuest LLC, 2019
Software is an integral part of our lives. It controls the cars we drive every day, the ships we send into space, and even our toasters. It is everywhere and we can easily download more. Software solves many real-world problems and satisfies many needs. Thus, unsurprisingly, there is a rising demand for software engineers to maintain existing…
Descriptors: Computer Science Education, Programming, Introductory Courses, Computer Software
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Hodgson, Paula; Corolla, Kristof; Ho, Wai Yee Angel – International Association for Development of the Information Society, 2018
Instilling a creative mind is the foundation to prepare future architecture students. University educators can adopt an iterative approach in which students go through cycles of learning. This paper reports student experiences on a three-cycle team project in an architecture course that was part of a master program. This consisted of the group…
Descriptors: Cooperative Learning, Creativity, Architectural Education, Reflection
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Mirzaei, Maryam Sadat; Meshgi, Kourosh; Kawahara, Tatsuya – Research-publishing.net, 2016
This study investigates the use of Automatic Speech Recognition (ASR) systems to epitomize second language (L2) listeners' problems in perception of TED talks. ASR-generated transcripts of videos often involve recognition errors, which may indicate difficult segments for L2 listeners. This paper aims to discover the root-causes of the ASR errors…
Descriptors: Automation, Computer Software, Listening Skills, Error Patterns
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Bailey, Daniel; Lee, Andrea Rakushin – TESOL International Journal, 2020
Different genres of writing entail various levels of syntactic and lexical complexity, and how this complexity influences the results of Automatic Writing Evaluation (AWE) programs like Grammarly in second language (L2) writing is unknown. This study explored the use of Grammarly in the L2 writing context by comparing error frequency, error types…
Descriptors: Grammar, Computer Assisted Instruction, Error Correction, Feedback (Response)
Reima Saado Al-Jarf – Online Submission, 2021
This study reports 15 types of activities that EFL, linguistics and translation instructors at a sample of Saudi universities used in distance learning during the COVID-19 pandemic. Examples include searching for linguistic and translation key terms and concepts, problem-solving questions, online debates, summarizing a research paper, attending a…
Descriptors: Translation, English (Second Language), Second Language Learning, Second Language Instruction
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