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Han Wan; Hongzhen Luo; Mengying Li; Xiaoyan Luo – IEEE Transactions on Learning Technologies, 2024
Automatic program repair (APR) tools are valuable for students to assist them with debugging tasks since program repair captures the code modification to make a buggy program pass the given test-suite. However, the process of manually generating catalogs of code modifications is intricate and time-consuming. This article proposes contextual error…
Descriptors: Programming, Computer Science Education, Introductory Courses, Assignments
Leah M. Ridgway; Tom Cox – IEEE Transactions on Education, 2024
Contribution: This study uses a qualitative research method to analyze interviews where participants simplified an electric circuit while explaining their thought process. Background: Rearranging circuit diagrams is a fundamental skill in electrical and electronic engineering, yet students can struggle with unfamiliar configurations. Current…
Descriptors: Electronic Equipment, Visual Aids, Engineering Education, Undergraduate Students
Pasakara Chueasuai – LEARN Journal: Language Education and Acquisition Research Network, 2025
After the pandemic has ceased, high expectations have been raised for the tourism industry to generate quick and substantial income for Thailand as a remedy for the sluggish economy. The Tourism Authority of Thailand (TAT) plays a key role in informing and inviting foreign tourists to visit the country. TAT's official English website is another…
Descriptors: Foreign Countries, Tourism, Web Sites, English
Weisberg, Steven M.; Schinazi, Victor R.; Ferrario, Andrea; Newcombe, Nora S. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
Relying on shared tasks and stimuli to conduct research can enhance the replicability of findings and allow a community of researchers to collect large data sets across multiple experiments. This approach is particularly relevant for experiments in spatial navigation, which often require the development of unfamiliar large-scale virtual…
Descriptors: Programming, Error Patterns, Computer Simulation, Spatial Ability
Karakus, Derya; Özkaya, Merve; Konyaliglu, Alper Cihan – Shanlax International Journal of Education, 2022
The aim of this study was to investigate the effectiveness of GeoGebra software in preservice mathematics teachers' process of correcting and making sense of errors regarding the concept of the asymptote. Case study method, one of the qualitative approaches, was adopted in the study. The study group consisted of 11 preservice teachers studying in…
Descriptors: Computer Software, Preservice Teachers, Mathematics Teachers, Mathematics Instruction
Costello, Eamon; Johnston, Keith; Wade, Vincent – Interactive Learning Environments, 2023
This research investigated how the bug tracker database of the Virtual Learning Environment (VLE) Moodle is developed as an application of crowd work. The bug tracker is used by software developers, who write and maintain Moodle's code, but also by a wider public world of ordinary Moodle users who can report bugs. Despite many studies of the…
Descriptors: Electronic Learning, Educational Technology, Computer Software, Cooperation
Johansson-Malmeling, Charlotte; Antonsson, Malin; Wengelin, Åsa; Henriksson, Ingrid – International Journal of Language & Communication Disorders, 2022
Background: Intervention studies aimed to improve the written production of single words by persons with aphasia have yielded promising results and there is growing interest in interventions targeting text writing. The development of technical writing aids offers opportunities for persons with aphasia, and studies have shown that using them can…
Descriptors: Intervention, Aphasia, Writing Skills, Males
Hanne Roothooft; Amparo Lázaro-Ibarrola; Bram Bulté – Language Teaching Research, 2025
Second language (L2) writing research has demonstrated that young learners discuss linguistic issues, make use of feedback, and show a generally positive disposition toward writing tasks. However, many issues deserve further investigation. Regarding task implementation, few studies have been conducted with young learners writing individually, and…
Descriptors: Error Correction, Feedback (Response), Accuracy, Writing Instruction
Wen Liu – Language Teaching Research Quarterly, 2024
Automated writing evaluation feedback (AWE) has become popular in writing classrooms. However, few studies have conducted a comprehensive review of the employment of AWE in learning areas. This study aimed to provide a systematic review of the current research on AWE feedback, including its validity, effects, and students' engagement with AWE…
Descriptors: Writing Instruction, Learner Engagement, Feedback (Response), Teaching Methods
Purnamika Utami, I. G. A. Lokita; Mahardika, I. Gusti Ngurah Agung Wijaya – International Journal of Language Education, 2023
Grammar has long been a source of aggravation for anyone learning a second language, not just English language learners, but also non-native English teachers. People can now employ Grammarly to correct their grammar mistakes, owing to the sophistication of modern technology. The debate over whether teachers use Grammarly as part of their…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Language Teachers
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
Zeng, Mini; Zhu, Feng – Journal of Cybersecurity Education, Research and Practice, 2021
Software vulnerabilities have become a severe cybersecurity issue. There are numerous resources of industry best practices available, but it is still challenging to effectively teach secure coding practices. The resources are not designed for classroom usage because the amount of information is overwhelming for students. There are efforts in…
Descriptors: Computer Software, Coding, Computer Security, Computer Science Education
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
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
Peichin Chang; Pin-Ju Chen; Li-Ling Lai – Computer Assisted Language Learning, 2024
Machine Translation (MT) tools have advanced to a level of reliability such that it is now opportune to consider their place in language teaching and learning. Given their potential, the current study sought to engage EFL university sophomores in recursive editing afforded by Google Translate (GT) for one semester, and investigated (1) whether the…
Descriptors: Editing, Computer Software, Artificial Intelligence, Translation