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Direct linkToni Taipalus; Hilkka Grahn; Saima Ritonummi; Valtteri Siitonen; Tero Vartiainen; Denis Zhidkikh – ACM Transactions on Computing Education, 2025
SQL compiler error messages are the primary way users receive feedback when they encounter syntax errors or other issues in their SQL queries. Effective error messages can enhance the user experience by providing clear, informative, and actionable feedback. Despite the age of SQL compilers, it still remains largely unclear what contributes to an…
Descriptors: Computer Science Education, Novices, Information Systems, Programming Languages
Sirinda Palahan – IEEE Transactions on Learning Technologies, 2025
The rise of online programming education has necessitated more effective personalized interactions, a gap that PythonPal aims to fill through its innovative learning system integrated with a chatbot. This research delves into PythonPal's potential to enhance the online learning experience, especially in contexts with high student-to-teacher ratios…
Descriptors: Programming, Computer Science Education, Artificial Intelligence, Computer Mediated Communication
Handley, Noella, Ed.; Yoshioka, Jim, Ed. – National Foreign Language Resource Center at University of Hawaii, 2020
The 23rd Annual Graduate Student Conference of the College of Languages, Linguistics & Literature (LLL) at the University of Hawai'i at Manoa was held on Saturday, April 20th, 2019. As in past years, this conference offered the students in the six departments across the college, East Asian Languages and Literatures, English, Indo-Pacific…
Descriptors: Linguistics, Mandarin Chinese, Computer Mediated Communication, Language Usage
Download full textBailey, 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)
Feng, Mingyu, Ed.; Käser, Tanja, Ed.; Talukdar, Partha, Ed. – International Educational Data Mining Society, 2023
The Indian Institute of Science is proud to host the fully in-person sixteenth iteration of the International Conference on Educational Data Mining (EDM) during July 11-14, 2023. EDM is the annual flagship conference of the International Educational Data Mining Society. The theme of this year's conference is "Educational data mining for…
Descriptors: Information Retrieval, Data Analysis, Computer Assisted Testing, Cheating
Wang, Ying-Hong; Lin, Chih-Hao – International Journal of Distance Education Technologies, 2008
A traditional distance learning system requires supervisors or teachers always available on online to facilitate and monitor a learner's progress by answering questions and guiding users. We presents an English chat room system in which students discuss course contents and ask questions to and receive from teachers and other students. The…
Descriptors: Semantics, Electronic Learning, Syntax, Distance Education
Morris, Frank – Language Learning & Technology, 2005
The current study examined the provision of corrective feedback and learner repair following feedback in the interactional context of child-to-child conversations, particularly computer mediated, in an elementary Spanish immersion class. The relationship among error types, feedback types, and immediate learner repair were also examined. A total of…
Descriptors: Feedback (Response), Internet, Computer Software, Error Correction
