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Richter, Catlin; Bédi, Branislav; Pálsson, Ragnar; Guðnason, Jón – Research-publishing.net, 2022
We are developing a Computer-Assisted Pronunciation Training (CAPT) system for learners of Icelandic as a second and foreign language (L2). Based on pre-designed tasks in pronunciation exercises, this system will provide corrective feedback on learners' speech. One of the main features we are implementing is a new method for automatic…
Descriptors: Indo European Languages, Second Language Instruction, Pronunciation, Computer Assisted Instruction
Veena Paliwal – North American Chapter of the International Group for the Psychology of Mathematics Education, 2023
This study was designed to examine the use of mistakes to promote students' performance in undergraduate Algebra classes by developing a growth mindset. Participants were seventy-four students from three Algebra classes and received one of the three interventions along with regular instruction: (a) growth mindset feedback on mistakes…
Descriptors: Mathematics Education, Mathematics Instruction, Teaching Methods, Algebra
Ahmed Magooda; Diane Litman; Ahmed Ashraf; Muhsin Menekse – Grantee Submission, 2022
Having students write reflections has been shown to help teachers improve their instruction and students improve their learning outcomes. With the aid of Natural Language Processing (NLP), real-time educational applications that can assess and provide feedback on reflection quality can be deployed. In this work, we first evaluate various NLP…
Descriptors: Undergraduate Students, Writing Assignments, Reflection, Natural Language Processing
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
Rachatasumrit, Napol; Koedinger, Kenneth R. – International Educational Data Mining Society, 2021
Student modeling is useful in educational research and technology development due to a capability to estimate latent student attributes. Widely used approaches, such as the Additive Factors Model (AFM), have shown satisfactory results, but they can only handle binary outcomes, which may yield potential information loss. In this work, we propose a…
Descriptors: Models, Student Characteristics, Feedback (Response), Error Correction
Adriana Guanuche; Osana Eiriz; Roberto Espi – International Association for Development of the Information Society, 2023
The increasing technological development of computers, tablets and smartphones has enabled a rapid increase in the adoption of mobile technology for language teaching and learning, and numerous applications that provide easy access for any learner without limitations of place and time have been developed. This paper shows the study of grammatical…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Telecommunications
Hamel, Marie-Josée; Landry, Jill; Bibeau, Louis-David – Research-publishing.net, 2022
In this paper, we report on a study that took place during the COVID-19 pandemic and for which we interviewed ten experienced, university level, language instructors about their digital practices as they found themselves teaching in an Emergency Remote Teaching (ERT) mode. The study sought to describe how, through their professional activities and…
Descriptors: Language Teachers, College Faculty, COVID-19, Pandemics
Zhang, Mengxue; Wang, Zichao; Baraniuk, Richard; Lan, Andrew – International Educational Data Mining Society, 2021
Feedback on student answers and even during intermediate steps in their solutions to open-ended questions is an important element in math education. Such feedback can help students correct their errors and ultimately lead to improved learning outcomes. Most existing approaches for automated student solution analysis and feedback require manually…
Descriptors: Mathematics Instruction, Teaching Methods, Intelligent Tutoring Systems, Error Patterns
Clark, Eve V. – Discourse Processes: A Multidisciplinary Journal, 2020
In this article, I examine how repairs in adult-child conversations guide children's acquisition of language. Children make unprompted self-repairs to their utterances. They also respond to prompts for repair, whether open ("Hm?," "What?") or restricted ("You hid what?"), and to restricted offers (Child: "I…
Descriptors: French, Verbs, Semitic Languages, Native Language
Sönmez, Nesrin; Alptekin, Serpil – World Journal of Education, 2020
In this study, it was aimed to determine the effects of the Simultaneous Prompting (SP) package jointly with the systematic review and corrective feedback in teaching a student with poor performance in mathematics to recall the multiplication facts. One of the single subject designs, the multiple probes design across behaviors (sets) is used in…
Descriptors: Mathematics Skills, Recall (Psychology), Mathematics Instruction, Prompting
John, Paul; Woll, Nina – Research-publishing.net, 2018
Our study assessed the performance of two Grammar Checkers (GCs), Grammarly and Virtual Writing Tutor, and the grammar checking function in Microsoft Word on a broad range of grammatical errors. The errors occurred in both authentic English as a Second Language (ESL) compositions and simple sentences we generated ourselves. We verified the…
Descriptors: Grammar, Second Language Learning, Second Language Instruction, English (Second Language)
Anthony, Monica; Turner, Blake; Callahan, Pamela; Archer, Casey – North American Chapter of the International Group for the Psychology of Mathematics Education, 2019
Researchers have investigated how teacher feedback contributes to students' learning, yet there is insufficient research into the connection between teacher feedback and student happiness, which is linked to engagement, socio-emotional well-being, and ultimately academic achievement. We coded lesson transcripts from elementary teachers to…
Descriptors: Feedback (Response), Psychological Patterns, Correlation, Learner Engagement
Ní Chiaráin, Neasa; Ní Chasaide, Ailbhe – Research-publishing.net, 2018
This paper details the motivation for and the main characteristics of "An Scéalaí" ('The Storyteller'), an intelligent Computer Assisted Language Learning (iCALL) platform for autonomous learning that integrates the four skills; writing, listening, speaking, and reading. A key feature is the incorporation of speech technology. Speech…
Descriptors: Computer Assisted Instruction, Language Acquisition, Independent Study, Assistive Technology
Choi, Sung-Kwon; Kwon, Oh-Woog; Kim, Young-Kil – Research-publishing.net, 2017
This paper aims to describe a computer-assisted English learning system using chatbots and dialogue systems, which allow free conversation outside the topic without limiting the learner's flow of conversation. The evaluation was conducted by 20 experimenters. The performance of the system based on a free conversation by topic was measured by the…
Descriptors: Foreign Countries, Second Language Learning, English (Second Language), Second Language Instruction
Tran, Thu H. – Online Submission, 2013
Second language writing teachers face numerous challenges when providing feedback on student writing. There may be so many problems in the writing that is almost impossible for them to focus on or they may constantly seek a better method of giving feedback on student written errors. This paper attempts to provide second language writing teachers…
Descriptors: Writing (Composition), Second Language Instruction, Writing Instruction, Feedback (Response)