Publication Date
| In 2026 | 0 |
| Since 2025 | 457 |
| Since 2022 (last 5 years) | 2070 |
| Since 2017 (last 10 years) | 3929 |
| Since 2007 (last 20 years) | 7419 |
Descriptor
Source
Author
Publication Type
Education Level
Audience
| Practitioners | 183 |
| Teachers | 147 |
| Researchers | 131 |
| Administrators | 15 |
| Parents | 12 |
| Students | 9 |
| Counselors | 5 |
| Policymakers | 5 |
| Support Staff | 2 |
| Community | 1 |
Location
| China | 210 |
| Germany | 135 |
| Australia | 120 |
| Canada | 115 |
| United Kingdom | 112 |
| Japan | 101 |
| Netherlands | 100 |
| Spain | 98 |
| Hong Kong | 64 |
| Turkey | 63 |
| France | 62 |
| More ▼ | |
Laws, Policies, & Programs
| No Child Left Behind Act 2001 | 5 |
| Education Consolidation… | 1 |
| Head Start | 1 |
| Individuals with Disabilities… | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 1 |
| Meets WWC Standards with or without Reservations | 2 |
| Does not meet standards | 3 |
Carvalho, Floran; Henriet, Julien; Greffier, Francoise; Betbeder, Marie-Laure; Leon-Henri, Dana – Journal of Education and e-Learning Research, 2023
This research is part of the Artificial Intelligence Virtual Trainer (AI-VT) project which aims to create a system that can identify the user's skills from a text by means of machine learning. AI-VT is a case-based reasoning learning support system can generate customized exercise lists that are specially adapted to user needs. To attain this…
Descriptors: Learning Processes, Algorithms, Artificial Intelligence, Programming Languages
Sharma, Harsh; Mathur, Rohan; Chintala, Tejas; Dhanalakshmi, Samiappan; Senthil, Ramalingam – Education and Information Technologies, 2023
Examination assessments undertaken by educational institutions are pivotal since it is one of the fundamental steps to determining students' understanding and achievements for a distinct subject or course. Questions must be framed on the topics to meet the learning objectives and assess the student's capability in a particular subject. The…
Descriptors: Taxonomy, Student Evaluation, Test Items, Questioning Techniques
Yang, Tzu-Chi – Educational Technology & Society, 2023
The development of digital competence has become an important part of higher education, and digital competence assessments have attracted considerable attention and concerns. Previous studies in this area mainly focused on self-reporting and manual review methods such as questionnaires, which offer limited assessment value. To solve this issue,…
Descriptors: Artificial Intelligence, Digital Literacy, Natural Language Processing, Higher Education
Loukusa, Soile; Gabbatore, Ilaria; Kotila, Aija R.; Dindar, Katja; Mäkinen, Leena; Leinonen, Eeva; Mämmelä, Laura; Bosco, Francesca M.; Jussila, Katja; Ebeling, Hanna; Hurtig, Tuula M.; Mattila, Marja-Leena – International Journal of Language & Communication Disorders, 2023
Background: Despite increasing knowledge of social communication skills of autistic people, the interrelatedness of different skills such as non-linguistic comprehension, social inference and empathizing skills is not much known about. A better understanding of the complex interplay between different domains of social communication helps us to…
Descriptors: Language Processing, Empathy, Autism Spectrum Disorders, Students with Disabilities
Sachs, Alyssa Nicole Yuriko; language impairments – ProQuest LLC, 2023
Background: The most common cause of aphasia is a left middle cerebral artery stroke affecting the left perisylvian region of the brain. The perisylvian region is critical for supporting phonological processing, and damage to this region results in difficulty with retrieving and manipulating speech sounds. The impact of weakened phonology has been…
Descriptors: Brain Hemisphere Functions, Neurological Impairments, Phonology, Grammar
Leung, Javier; Abramenka-Lachheb, Victoria; Sankaranarayanan, Rajagopal; Lachheb, Ahmed; Seo, Grace – TechTrends: Linking Research and Practice to Improve Learning, 2023
The purpose of this follow-up study was to investigate further the expressed needs of Instructional Designers (IDers) from a large public Facebook group. Our previous original research (Abramenka-Lachheb et al., 2021a) reported that IDers expressed needs during the pandemic in several categories, including: (1) educational technology, (2)…
Descriptors: COVID-19, Pandemics, Instructional Design, Natural Language Processing
Lodge, Jason M.; Yang, Suijing; Furze, Leon; Dawson, Phillip – Learning: Research and Practice, 2023
It is becoming apparent that generative AI has significant implications for education. However, previous technologies that have had a large impact, such as calculators, do not provide a suitable model for understanding how generative AI can and will be used in learning. Drawing on research on human-computer interactions, we map out a typology of…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Technology Uses in Education
Zaki, Nazar; Turaev, Sherzod; Shuaib, Khaled; Krishnan, Anusuya; Mohamed, Elfadil – Education and Information Technologies, 2023
Quality control and assurance plays a fundamental role within higher education contexts. One means by which quality control can be performed is by mapping the course learning outcomes (CLOs) to the program learning outcomes (PLO). This paper describes a system by which this mapping process can be automated and validated. The proposed AI-based…
Descriptors: Program Evaluation, Outcomes of Education, Natural Language Processing, Higher Education
Vincent Bourassa Bedard; Natacha Trudeau; Andrea A. N. MacLeod – Journal of Child Language, 2023
Current understanding of word-finding (WF) difficulties in children and their underlying language processing deficit is poor. Authors have proposed that different underlying deficits may result in different profiles. The current study aimed to better understand WF difficulties by identifying difficult tasks for children with WF difficulties and by…
Descriptors: Child Language, Word Recognition, Word Lists, Difficulty Level
George Pontikas; Ian Cunnings; Theodoros Marinis – Journal of Child Language, 2023
An emergent debate surrounds the nature of language processing in bilingual children as an extension of broader questions about their morphosyntactic development in comparison to monolinguals, with the picture so far being nuanced. This paper adds to this debate by investigating the processing of morphosyntactically complex which-questions (e.g.,…
Descriptors: Child Language, Bilingualism, Children, Language Processing
Meiyun Wu; Haotian Liu; Xue Zhao; Li Lu; Yuyang Wang; Chaogang Wei; Yuhe Liu; Yu-Xuan Zhang – Developmental Science, 2025
To reveal the formation process of speech processing with early hearing experiences, we tracked the development of functional connectivity in the auditory and language-related cortical areas of 84 (36 female) congenitally deafened toddlers using repeated functional near-infrared spectroscopy for up to 36 months post cochlear implantation (CI).…
Descriptors: Speech Communication, Language Processing, Auditory Perception, Assistive Technology
Nisar Ahmed Dahri; Noraffandy Yahaya; Waleed Mugahed Al-Rahmi – Education and Information Technologies, 2025
Enhancing student academic success and career readiness is important in the rapidly evolving educational field. This study investigates the influence of ChatGPT, an AI tool, on these outcomes using the Stimulus-Organism-Response (SOR) theory and constructs from the Technology Acceptance Model (TAM). The aim is to explore how ChatGPT impacts…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Career Readiness
André Markus; Maximilian Baumann; Jan Pfister; Andreas Hotho; Astrid Carolus; Carolin Wienrich – Discover Education, 2025
Intelligent Voice Assistants (IVAs) have become integral to many users' daily lives, using advanced algorithms to automate various tasks. Nevertheless, many users do not understand the underlying algorithms and how they work, posing potential risks to the competent and self-determined use of IVAs. This work develops three online training modules…
Descriptors: Algorithms, Digital Literacy, Training, Artificial Intelligence
Uli Sauerland; Marie-Christine Meyer; Kazuko Yatsushiro – Language Acquisition: A Journal of Developmental Linguistics, 2025
German-speaking children between ages 2 and 3 mostly use the preposition ohne ('without') in an adult-like way, to express the absence of something. In this article we present surprising results from a corpus study suggesting that in this age group, absence can also be expressed using the sequence mit ohne 'with without'. We argue that this…
Descriptors: Toddlers, German, Child Language, Form Classes (Languages)
Muhammad Farrukh Shahzad; Shuo Xu; Hira Zahid – Education and Information Technologies, 2025
Artificial Intelligence (AI) technologies have rapidly transformed the education sector and affect student learning performance, particularly in China, a burgeoning educational landscape. The development of generative artificial intelligence (AI) based technologies, such as chatbots and large language models (LLMs) like ChatGPT, has completely…
Descriptors: Artificial Intelligence, Technology Uses in Education, Academic Achievement, Self Efficacy

Peer reviewed
Direct link
