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Gao, Jianwu; Ma, Shuang – Language Teaching Research, 2022
This study investigated the intensity and efficacy of automated corrective feedback (CF) in a tutorial CALL (computer-assisted language learning) environment during form-focused drills as compared with those of instructor CF on free writing in the classroom. The English simple past tense, a previously learned target structure, was selected as the…
Descriptors: Feedback (Response), Writing (Composition), Computer Assisted Instruction, Second Language Learning
Hartono, Didik; Basthomi, Yazid; Widiastuti, Oktavia; Prastiyowati, Santi – Cogent Education, 2022
The teacher's oral corrective feedback is the hallmark in teaching speaking. It is a daily input given by teachers to improve students' speaking skill. However, it is rarely known the effects of the OCF to students' psychological domain. Therefore, the present study investigated the students' psychological problems after receiving teacher's oral…
Descriptors: Adults, Adult Learning, English Language Learners, Language Teachers
Lee, Chorong; Cho, Hyun Jin; Melloch, Michael R.; Levesque-Bristol, Chantal – European Journal of Engineering Education, 2022
Although testing is used mainly for assessing student learning, a new teaching strategy called concept-point recovery (CPR) makes testing a learning opportunity for engineering students to review errors and misconceptions. CPR allows students to regain points by reviewing wrong answers and explaining the solution process to the instructor to…
Descriptors: Engineering Education, Learning Experience, Teaching Methods, Error Correction
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
Moretti, Luca; Koch, Iring; Steinhauser, Marco; Schuch, Stefanie – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2021
Studies of switching between tasks and studies of error commission have both provided solid behavioral measures of executive control. Nonetheless, a gap remains between these strands of research. In three experiments we sought to reduce this gap by assessing the impact of task errors on N-2 repetition costs, an effect supposedly related to…
Descriptors: Task Analysis, Error Patterns, Cognitive Ability, Attention Control
Yakubova, Gulnoza; Chen, Briella Baer – Journal of Autism and Developmental Disorders, 2021
Teaching parents how to create their own video-prompting (VP) and implement it to help their children learn daily living tasks at home can be empowering for parents. Using a multiple probe across three tasks design, we examined the effects of parent-created and parent-implemented VP and error correction strategy on teaching three daily living…
Descriptors: Intervention, Program Effectiveness, Video Technology, Prompting
Md. Asif Kamal; Prodhan Mahbub Ibna Seraj; Fatema Begum – MEXTESOL Journal, 2024
The use of Task-based Language Teaching (TBLT) and Content and Language Integrated Learning (CLIL) approaches in English as Foreign Language (EFL) classrooms has recently gained special attention. In the context of Bangladesh, "English for Academic Purposes," a contextualized TBLT module prepared jointly by British Council and University…
Descriptors: Teacher Attitudes, Error Correction, Feedback (Response), Task Analysis
Leonardo Alba-López – HOW, 2024
The correct use of collocations and prepositions plays an essential role in writing. Previous research has demonstrated that students, who master these lexical elements, have a better language awareness, improve their reading and listening comprehension, and are more creative when making a composition. However, little specific work has been done…
Descriptors: Essays, Writing (Composition), Form Classes (Languages), Academic Language
Katie Steckles; Claire Ketnor; Ros Porter; Alex Shukie; Alexander S. Corner – Teaching Mathematics and Its Applications, 2025
Due to the nature of the teaching environment, students may often develop perceptions of their lecturers' ability as mathematicians, based on the pre-prepared and well-rehearsed content they present. In reality, performing mathematical calculations and solving problems is a difficult skill, and students may compare their own experiences…
Descriptors: College Faculty, Undergraduate Students, Mathematics Instruction, Mathematics Skills
Seungmoo Jung; Sun-Young Oh – English Teaching, 2025
Writing conferences are one-on-one feedback sessions that enable teachers and students to engage in constructive interactions to improve students' writing. While interacting individually, a teacher can use various feedback strategies to improve the quality of a student's writing. This study examined how a secondary English teacher elicited…
Descriptors: Error Correction, English (Second Language), Second Language Learning, Second Language Instruction
Phung, Tung; Cambronero, José; Gulwani, Sumit; Kohn, Tobias; Majumdarm, Rupak; Singla, Adish; Soares, Gustavo – International Educational Data Mining Society, 2023
Large language models (LLMs), such as Codex, hold great promise in enhancing programming education by automatically generating feedback for students. We investigate using LLMs to generate feedback for fixing syntax errors in Python programs, a key scenario in introductory programming. More concretely, given a student's buggy program, our goal is…
Descriptors: Computational Linguistics, Feedback (Response), Programming, Computer Science Education
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
Cheng, Michèle P.; Mercer, Sterett H.; Saqui, Sonja – Contemporary School Psychology, 2023
Incorporating student choice is an effective intervention to improve task engagement that may also promote skill and behavioral generalization. In this study, we evaluated the effectiveness of a reading fluency intervention that incorporated student choice of topic and instructional passages using a delayed multiple baseline across student design.…
Descriptors: Elementary School Students, Grade 4, Student Interests, Reading Fluency
Suhaimy, Muhammad Hazwan; Sumardi, Wardah Azimah; Sumardi, Wardah Hakimah; Anshari, Muhammad – International Journal of Training Research, 2023
Many organisations invest heavily in training. However, it is argued that only a small portion of what is learnt from training is transferred to the workplace. Using an extended Training Transfer Model, the paper examines the factors that influence the transfer of training within an apprenticeship program. In-depth semi-structured interviews with…
Descriptors: Transfer of Training, Apprenticeships, Individual Characteristics, Job Training
Al Ghaithi, Ali; Behforouz, Behnam – Turkish Online Journal of Distance Education, 2023
The present research investigates the efficiency of corrective feedback on learners' writing performance through electronic platforms. 94 Omani English as a Foreign Language (EFL) learners were selected based on their assessment results. They were randomly assigned into one experimental group and one control group, including 47 students. Both…
Descriptors: Foreign Countries, English (Second Language), Electronic Learning, Writing (Composition)

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