NotesFAQContact Us
Collection
Advanced
Search Tips
Publication Type
Reports - Research42
Journal Articles34
Tests/Questionnaires5
Speeches/Meeting Papers4
Audience
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 1 to 15 of 42 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Ikkyu Choi; Jiangang Hao; Chen Li; Michael Fauss; Jakub Novák – ETS Research Report Series, 2024
A frequently encountered security issue in writing tests is nonauthentic text submission: Test takers submit texts that are not their own but rather are copies of texts prepared by someone else. In this report, we propose AutoESD, a human-in-the-loop and automated system to detect nonauthentic texts for a large-scale writing tests, and report its…
Descriptors: Writing Tests, Automation, Cheating, Plagiarism
Peer reviewed Peer reviewed
Direct linkDirect link
Lee, Hyeonju; Ha, Minsu; Lee, Jurim; Aini, Rahmi Qurota; Rusmana, Ai Nurlaelasari; Sya'bandari, Yustika; Lee, Jun-Ki; Shin, Sein; Lee, Gyeong-Geon; Choo, Jaegul; Choi, Sungchul; Kim, Namhyoung; Park, Jisun – Technology, Knowledge and Learning, 2023
This study aimed to develop an automated computer scoring system (ACSS) incorporating a Korean spell checker to assess students' constructed responses and to check the efficacy of this system. To accomplish this, we examined the performance of automatic spelling correction in reporting and correcting spelling errors, the interaction of gender and…
Descriptors: Spelling, Error Correction, Foreign Countries, Automation
Peer reviewed Peer reviewed
Direct linkDirect link
Elisabeth Bauer; Michael Sailer; Frank Niklas; Samuel Greiff; Sven Sarbu-Rothsching; Jan M. Zottmann; Jan Kiesewetter; Matthias Stadler; Martin R. Fischer; Tina Seidel; Detlef Urhahne; Maximilian Sailer; Frank Fischer – Journal of Computer Assisted Learning, 2025
Background: Artificial intelligence, particularly natural language processing (NLP), enables automating the formative assessment of written task solutions to provide adaptive feedback automatically. A laboratory study found that, compared with static feedback (an expert solution), adaptive feedback automated through artificial neural networks…
Descriptors: Artificial Intelligence, Feedback (Response), Computer Simulation, Natural Language Processing
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Xiner Liu; Andres Felipe Zambrano; Ryan S. Baker; Amanda Barany; Jaclyn Ocumpaugh; Jiayi Zhang; Maciej Pankiewicz; Nidhi Nasiar; Zhanlan Wei – Journal of Learning Analytics, 2025
This study explores the potential of the large language model GPT-4 as an automated tool for qualitative data analysis by educational researchers, exploring which techniques are most successful for different types of constructs. Specifically, we assess three different prompt engineering strategies -- Zero-shot, Few-shot, and Fewshot with…
Descriptors: Coding, Artificial Intelligence, Automation, Data Analysis
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Xinming Chen; Ziqian Zhou; Malila Prado – International Journal of Assessment Tools in Education, 2025
This study explores the efficacy of ChatGPT-3.5, an AI chatbot, used as an Automatic Essay Scoring (AES) system and feedback provider for IELTS essay preparation. It investigates the alignment between scores given by ChatGPT-3.5 and those assigned by official IELTS examiners to establish its reliability as an AES. It also identifies the strategies…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Automation
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Orhani, Senad; Saramati, Emir; Drini, Lulzim – European Journal of Educational Management, 2023
In recent years, our schools have faced the necessity of creating a new school administration system, which would provide a good basis for electronic management. In this article, we will show how an electronic school management system works, and we will track the teachers' opinions from our school regarding the use of the electronic school…
Descriptors: Foreign Countries, Educational Technology, Technology Uses in Education, School Administration
Peer reviewed Peer reviewed
Direct linkDirect link
Mikyung Kim Wolf; Saerhim Oh – Language Learning & Technology, 2024
With the increased rigor of academic standards, high expectations of academic writing skills have been imposed on students in U.S. K-12 schools. For English learner (EL) students who cope with the dual challenges of learning rigorous subject matters and developing their English language proficiency simultaneously, extra support and effective…
Descriptors: Middle School Students, English Language Learners, Feedback (Response), Academic Language
Peer reviewed Peer reviewed
Direct linkDirect link
Kabassi, Katerina; Martinis, Aristotelis; Charizanos, Panagiotis – Applied Environmental Education and Communication, 2021
Persons in the field of Environmental Education (EE) often have difficulty identifying and selecting educational programs that have the potential to best maximize needed resources to implement and achieve desired outcomes due, in part, to their lack of expertise in evaluation knowledge and practice. This article presents an approach for using a…
Descriptors: Program Effectiveness, Program Evaluation, Evaluation Criteria, Evaluation Methods
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Dillon, Thomas; Wells, Donald – English Teaching, 2023
This study examined effects of pronunciation training using automatic speech recognition technology on common pronunciation errors of Korean English learners. Participants were divided into two groups. One group was given instruction and training about the use of automatic speech recognition for pronunciation practice. The other group was not…
Descriptors: Pronunciation, English (Second Language), Second Language Instruction, English Language Learners
Demszky, Dorottya; Liu, Jing; Hill, Heather C.; Jurafsky, Dan; Piech, Chris – Annenberg Institute for School Reform at Brown University, 2021
Providing consistent, individualized feedback to teachers is essential for improving instruction but can be prohibitively resource intensive in most educational contexts. We develop an automated tool based on natural language processing to give teachers feedback on their uptake of student contributions, a high-leverage teaching practice that…
Descriptors: Automation, Feedback (Response), Online Courses, Teaching Methods
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Escudeiro, Paula; Galasso, Bruno; Teixeira, Dirceu; Gouveia, Márcia Campos; Escudeiro, Nuno – Cypriot Journal of Educational Sciences, 2022
The communication gap between deaf and non-deaf communities arises due to the use of distinct mother languages. A deaf student, who used to communicate in sign language, cannot read fluently materials written in spoken language. This fact causes serious difficulties to deaf students since most didactic materials in higher education are available…
Descriptors: Foreign Countries, Interpersonal Communication, Deafness, Online Courses
Peer reviewed Peer reviewed
Direct linkDirect link
Gary Cheng; Gloria Shu-Mei Chwo; Wing Shui Ng – Interactive Learning Environments, 2023
Teacher feedback can be useful in helping English as Foreign Language (EFL) students revise their draft writing. Investigating how EFL students respond to various types of teacher feedback in draft revision has been regarded as an important field of study. However, such investigation is time-consuming and labour-intensive, which limits its…
Descriptors: English (Second Language), Second Language Instruction, Feedback (Response), Writing Instruction
Peer reviewed Peer reviewed
Direct linkDirect link
Kolog, Emmanuel Awuni; Montero, Calkin Suero – Education and Information Technologies, 2018
Emotions are a core semantic component of human communication. Since counsellors are humans we assume that their own state of emotions could affect their intuitional effort when taking decisions concerning their clients. Therefore, the accuracy of detected emotions by counsellors could be doubtful. And this highlights the need for complementing…
Descriptors: Emotional Response, Counselor Characteristics, Influences, Correlation
Peer reviewed Peer reviewed
Direct linkDirect link
Cheng, Gary – Interactive Learning Environments, 2022
This study aimed to investigate the impact of using an automated tracking system on the writing performance of English as Foreign Language (EFL) students in a 13-week academic writing course. Sixty-eight first year university students participated in the study. They received the same instruction on academic writing and were allocated to one of two…
Descriptors: Automation, Writing Skills, English (Second Language), Second Language Instruction
Peer reviewed Peer reviewed
Direct linkDirect link
Heeg, Dagmar Mercedes; Avraamidou, Lucy – Educational Media International, 2023
Artificial Intelligence is widely used across contexts and for different purposes, including the field of education. However, a review of the literature showcases that while there exist various review studies on the use of AI in education, missing remains a review focusing on science education. To address this gap, we carried out a systematic…
Descriptors: Artificial Intelligence, Science Instruction, Educational Technology, Program Effectiveness
Previous Page | Next Page »
Pages: 1  |  2  |  3