Publication Date
| In 2026 | 1 |
| Since 2025 | 173 |
| Since 2022 (last 5 years) | 693 |
| Since 2017 (last 10 years) | 1156 |
| Since 2007 (last 20 years) | 1907 |
Descriptor
Source
Author
Publication Type
Education Level
Audience
| Practitioners | 682 |
| Media Staff | 440 |
| Administrators | 236 |
| Policymakers | 139 |
| Teachers | 123 |
| Researchers | 85 |
| Students | 31 |
| Support Staff | 7 |
| Community | 5 |
| Counselors | 2 |
Location
| Canada | 175 |
| United States | 98 |
| Australia | 94 |
| United Kingdom | 61 |
| China | 59 |
| California | 58 |
| Germany | 45 |
| Japan | 42 |
| New York | 40 |
| Texas | 38 |
| India | 37 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 1 |
| Meets WWC Standards with or without Reservations | 1 |
Fox, Carly B.; Israelsen-Augenstein, Megan; Jones, Sharad; Gillam, Sandra Laing – Journal of Speech, Language, and Hearing Research, 2021
Purpose: This study examined the accuracy and potential clinical utility of two expedited transcription methods for narrative language samples elicited from school-age children (7;5-11;10 [years;months]) with developmental language disorder. Transcription methods included real-time transcription produced by speech-language pathologists (SLPs) and…
Descriptors: Transcripts (Written Records), Child Language, Narration, Language Impairments
Richardson, Mary; Clesham, Rose – London Review of Education, 2021
Our world has been transformed by technologies incorporating artificial intelligence (AI) within mass communication, employment, entertainment and many other aspects of our daily lives. However, within the domain of education, it seems that our ways of working and, particularly, assessing have hardly changed at all. We continue to prize…
Descriptors: Artificial Intelligence, High Stakes Tests, Computer Assisted Testing, Educational Change
Spöttl, Georg; Windelband, Lars – Journal of Education and Work, 2021
Within the context of 'Industry 4.0', work organisation and work processes will change, along with ongoing automation and real-time oriented control of production. The same is true for work contents and the interaction and communication between humans and technology, which entail many consequences for users and providers throughout the entire…
Descriptors: Job Skills, Industrialization, Vocational Education, Automation
Yamashita, Takashi; Cummins, Phyllis Ann – Grantee Submission, 2021
Advancing technology such as artificial intelligence and robots is steadily replacing jobs in the USA. Continuous skill-upgrading and re-skilling are critical for workers to remain employable throughout their careers. In these social and economic contexts, community colleges play significant roles to provide workforce education and training…
Descriptors: Automation, Job Skills, Community Colleges, College Role
Jia, Qinjin; Cui, Jialin; Xiao, Yunkai; Liu, Chengyuan; Rashid, Parvez; Gehringer, Edward – International Educational Data Mining Society, 2021
Peer assessment has been widely applied across diverse academic fields over the last few decades, and has demonstrated its effectiveness. However, the advantages of peer assessment can only be achieved with high-quality peer reviews. Previous studies have found that high-quality review comments usually comprise several features (e.g., contain…
Descriptors: Peer Evaluation, Models, Artificial Intelligence, Evaluation Methods
Anca Greere – Interpreter and Translator Trainer, 2024
Ethical awareness is arguably becoming ever more relevant with the increasing digitalisation of professional practice. Ethical dilemmas are changing in nature, becoming more diverse and more difficult to tackle, also as technologically infused realities give rise to more blurry boundaries. Language professionals, in training for the roles of the…
Descriptors: Ethics, Translation, Teaching Methods, Computational Linguistics
Hong Jiao, Editor; Robert W. Lissitz, Editor – IAP - Information Age Publishing, Inc., 2024
With the exponential increase of digital assessment, different types of data in addition to item responses become available in the measurement process. One of the salient features in digital assessment is that process data can be easily collected. This non-conventional structured or unstructured data source may bring new perspectives to better…
Descriptors: Artificial Intelligence, Natural Language Processing, Psychometrics, Computer Assisted Testing
Lu-Ho Hsia; Gwo-Jen Hwang; Jan-Pan Hwang – Interactive Learning Environments, 2024
To improve students' sports skills performance, it is important to engage them in reflective practice. However, in physical classes, a teacher generally needs to face a number of students, and hence it is almost impossible to provide detailed guidance or feedback to individual students. Scholars have been trying to use Artificial Intelligence (AI)…
Descriptors: Artificial Intelligence, Technology Uses in Education, Physical Education, Feedback (Response)
Fengkai Liu; Yishi Jiang; Chun Lai; Tan Jin – Language Learning & Technology, 2024
Differentiated instruction is much demanded yet quite challenging in face of the growing student diversity in today's K-12 classrooms. One major challenge is the provision of differentiated materials to students. Automated text simplification (ATS) tools fueled by natural language processing may serve as a useful assistant for teachers. However,…
Descriptors: Automation, Individualized Instruction, Natural Language Processing, Technology Uses in Education
Pribadi, Feddy Setio; Permanasari, Adhistya Erna; Adji, Teguh Bharata – Education and Information Technologies, 2018
The Automatic Short Answer Scoring (ASAS) system is one of the tools that can be used to conduct assessment process on e-learning system. One of the methods applied in the ASAS system is a method for measuring similarities between the reference and student answers. There are two issues to be considered in the assessment process using this method.…
Descriptors: Scoring, Automation, Electronic Learning, Student Evaluation
Fisher, Michael – ProQuest LLC, 2018
Consumer evolution has led to a more technologically informed population who was more confident and demanding: consumers now expect their brands to be available wherever, whenever, and however they want them. Consumers expect brands to be always on, meeting their brand on demand expectations in their pockets on phones, on tablets, laptops, and…
Descriptors: Consumer Economics, Marketing, Automation, Technological Advancement
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
Haynes, Emily; Garside, Ruth; Green, Judith; Kelly, Michael P.; Thomas, James; Guell, Cornelia – Research Synthesis Methods, 2019
Approaches to synthesizing qualitative data have, to date, largely focused on integrating the findings from published reports. However, developments in text mining software offer the potential for efficient analysis of large pooled primary qualitative datasets. This case study aimed to (a) provide a step-by-step guide to using one software…
Descriptors: Qualitative Research, Data, Synthesis, Automation
Qian, Zhaopeng; Wang, Li; Zhang, Shaochuan; Liu, Chan; Niu, Haijun – Journal of Speech, Language, and Hearing Research, 2019
Purpose: The application of Chinese Mandarin electrolaryngeal (EL) speech for laryngectomees has been limited by its drawbacks such as single fundamental frequency, mechanical sound, and large radiation noise. To improve the intelligibility of Chinese Mandarin EL speech, a new perspective using the automatic speech recognition (ASR) system was…
Descriptors: Mandarin Chinese, Speech, Recognition (Psychology), Automation
Zhai, Na; Ma, Xiaomei – Computer Assisted Language Learning, 2022
Automated writing evaluation (AWE) has been used increasingly to provide feedback on student writing. Previous research typically focused on its inter-rater reliability with human graders and validation frameworks. The limited body of research has only discussed students' attitudes or perceptions in general. A systematic investigation of the…
Descriptors: Automation, Writing Evaluation, Feedback (Response), College Students

Peer reviewed
Direct link
