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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
Shang, Hui-Fang – Interactive Learning Environments, 2022
Previous studies have been done to research the effects of different electronic feedback (e-feedback) modes of helping English as a foreign language (EFL) students improve their writing. The purpose of this study was to employ online peer feedback (OPF) and automated corrective feedback (ACF) to assess EFL learners' writing performance in the…
Descriptors: Computer Mediated Communication, Peer Evaluation, Feedback (Response), Automation
Turkmen, Gamze; Caner, Sonay – Turkish Online Journal of Distance Education, 2020
This study aims to provide a comprehensive and in-depth investigation of the debugging process in programming teaching in terms of cognitive and metacognitive aspects, based on programming students who demonstrate low, medium, and high programming performance and to propose instructional strategies for scaffolding novice learners in an effective…
Descriptors: Programming, Novices, Electronic Learning, Troubleshooting
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
Sülükçü, Yusuf – Journal of Education and Training Studies, 2018
The present study aimed to identify Turkish language sounds that Arabic native speakers experience pronunciation difficulties with when learning Turkish and make various suggestions on how to resolve this problem. Qualitative research method and observation technique were used in the study. The data were collected in 2016 and the second half of…
Descriptors: Turkish, Phonology, Semitic Languages, Second Language Learning
Cho, Peter; Nagle, Courtney – North American Chapter of the International Group for the Psychology of Mathematics Education, 2017
This study extends past research on students' understanding of slope by analyzing college students' mistakes on routine tasks involving slope. We conduct quantitative and qualitative analysis of students' mistakes to extract information regarding slope conceptualizations described in prior research. Results delineate procedural proficiencies and…
Descriptors: Task Analysis, College Students, Error Correction, Error Patterns
Chrabaszcz, Anna; Jiang, Nan – Second Language Research, 2014
The study uses an elicited imitation (EI) task to examine the effect of the native language on the use of the English nongeneric definite article by highly proficient first-language (L1) Spanish and Russian speakers and to test the hierarchy of article difficulty first proposed by Liu and Gleason (2002). Our findings suggest that there is a clear…
Descriptors: Native Language, Native Speakers, English, Russian
Al-Jarf, Reima Sado – Reading Matrix: An International Online Journal, 2007
The study investigated EFL students' ability to comprehend and analyze advertisements and identify their stylistic features. Results of a test with sixty six EFL college students showed lexical and structural features that are easy to identify and those that are difficult to identify. Responses also reflected the difficulty level of the lexical…
Descriptors: Advertising, English (Second Language), Second Language Learning, College Students
Gilabert, Roger – International Review of Applied Linguistics in Language Teaching (IRAL), 2007
This paper analyses the effects of manipulating the cognitive complexity of L2 oral tasks on language production. It specifically focuses on self-repairs, which are taken as a measure of accuracy since they denote both attention to form and an attempt at being accurate. By means of a repeated measures design, 42 lower-intermediate students were…
Descriptors: Cognitive Processes, Oral Language, Second Language Learning, Difficulty Level
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
Vispoel, Walter P.; And Others – 1992
The effects of review options (the opportunity for examinees to review and change answers) on the magnitude, reliability, efficiency, and concurrent validity of scores obtained from three types of computerized vocabulary tests (fixed item, adaptive, and self-adapted) were studied. Subjects were 97 college students at a large midwestern university…
Descriptors: Adaptive Testing, College Students, Comparative Testing, Computer Assisted Testing
Baptista Nunes, Miguel, Ed.; McPherson, Maggie, Ed. – International Association for Development of the Information Society, 2014
These proceedings contain the papers of the International Conference e-Learning 2014, which was organised by the International Association for Development of the Information Society and is part of the Multi Conference on Computer Science and Information Systems (Lisbon, Portugal July 15-19, 2014). The e-Learning 2014 conference aims to address the…
Descriptors: Conference Papers, Electronic Learning, Educational Technology, Technology Uses in Education