Publication Date
In 2025 | 0 |
Since 2024 | 7 |
Since 2021 (last 5 years) | 18 |
Descriptor
Source
Author
Jing Liu | 2 |
Abdulaziz Saad Albarrak | 1 |
Abdulelah Al Gosaibi | 1 |
Aisha Abdulmohsin Al… | 1 |
Alice Ng | 1 |
Amenah Ahmed Al Mulla | 1 |
Ariel Chung | 1 |
Camozzi, Hailey | 1 |
Chad Killian | 1 |
Chiabaut, Catherine | 1 |
Conrado Vizcarra | 1 |
More ▼ |
Publication Type
Education Level
Audience
Policymakers | 1 |
Teachers | 1 |
Location
California | 1 |
China | 1 |
Germany | 1 |
Hong Kong | 1 |
New York (New York) | 1 |
Philippines | 1 |
Saudi Arabia | 1 |
Sweden | 1 |
Turkey | 1 |
United Kingdom | 1 |
United Kingdom (Cambridge) | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Paiheng Xu; Jing Liu; Nathan Jones; Julie Cohen; Wei Ai – Annenberg Institute for School Reform at Brown University, 2024
Assessing instruction quality is a fundamental component of any improvement efforts in the education system. However, traditional manual assessments are expensive, subjective, and heavily dependent on observers' expertise and idiosyncratic factors, preventing teachers from getting timely and frequent feedback. Different from prior research that…
Descriptors: Educational Quality, Educational Assessment, Teacher Effectiveness, Natural Language Processing
Omar Albaloul; Risto Marttinen; Chad Killian – Journal of Physical Education, Recreation & Dance, 2024
The recent emergence of artificial intelligence (AI) tools has significantly influenced different fields, including education. One notable example is ChatGPT, an AI-driven large language model (LLM) developed by OpenAI. This tool holds potential for supporting both teachers and students in the teaching and learning process. While some fields of…
Descriptors: Physical Education, Artificial Intelligence, Natural Language Processing, Man Machine Systems
Dorottya Demszky; Jing Liu; Heather C. Hill; Shyamoli Sanghi; Ariel Chung – Annenberg Institute for School Reform at Brown University, 2023
While recent studies have demonstrated the potential of automated feedback to enhance teacher instruction in virtual settings, its efficacy in traditional classrooms remains unexplored. In collaboration with TeachFX, we conducted a pre-registered randomized controlled trial involving 523 Utah mathematics and science teachers to assess the impact…
Descriptors: Elementary Secondary Education, Mathematics Teachers, Science Teachers, Automation
Mustafa Taktak; Mehmet Sükrü Bellibas; Mustafa Özgenel – Educational Process: International Journal, 2024
Background/Purpose: Integrating artificial intelligence tools within educational settings has generated considerable debate, yet empirical research that offers implications of its usage remains scarce. This study aims to qualitatively assess the perceptions and experiences of school principals and teachers regarding the use of ChatGPT in K-12…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Futures (of Society)
Douglas Harris; Jamie Carroll; Debbie Kim; Nicholas Mattei; Olivia Carr – National Center for Research on Education Access and Choice, 2024
Massive online user review platforms, with their star ratings and text reviews, are reshaping the information available for consumer and public service decisions. We study the leading K-12 schooling platform, GreatSchools, applying machine learning (Natural Language Processing, NLP) to 600,000 reviews that encompass the vast majority of the…
Descriptors: Elementary Secondary Education, School Effectiveness, Parents, Teachers

Sami Baral; Li Lucy; Ryan Knight; Alice Ng; Luca Soldaini; Neil T. Heffernan; Kyle Lo – Grantee Submission, 2024
In real-world settings, vision language models (VLMs) should robustly handle naturalistic, noisy visual content as well as domain-specific language and concepts. For example, K-12 educators using digital learning platforms may need to examine and provide feedback across many images of students' math work. To assess the potential of VLMs to support…
Descriptors: Visual Learning, Visual Perception, Natural Language Processing, Freehand Drawing
Yi Gui – ProQuest LLC, 2024
This study explores using transfer learning in machine learning for natural language processing (NLP) to create generic automated essay scoring (AES) models, providing instant online scoring for statewide writing assessments in K-12 education. The goal is to develop an instant online scorer that is generalizable to any prompt, addressing the…
Descriptors: Writing Tests, Natural Language Processing, Writing Evaluation, Scoring
Gillani, Nabeel; Eynon, Rebecca; Chiabaut, Catherine; Finkel, Kelsey – Educational Technology & Society, 2023
Recent advances in Artificial Intelligence (AI) have sparked renewed interest in its potential to improve education. However, AI is a loose umbrella term that refers to a collection of methods, capabilities, and limitations--many of which are often not explicitly articulated by researchers, education technology companies, or other AI developers.…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Technology, Educational Benefits
Haesol Bae; Jaesung Hur; Jaesung Park; Gi Woong Choi; Jewoong Moon – Online Learning, 2024
This study examined pre-service teachers' perspectives on integrating generative AI (GenAI) tools into their own learning and teaching practices. Discussion posts from asynchronous online courses on ChatGPT were analyzed using the Diffusion of Innovations framework to explore awareness, willingness to apply ChatGPT to instruction, and potential…
Descriptors: Preservice Teachers, Teacher Attitudes, Artificial Intelligence, Technology Uses in Education
Shah, Priten – Jossey-Bass, An Imprint of Wiley, 2023
Among teachers, there is a cloud of rumors, confusion, and fear surrounding the rise of artificial intelligence. "AI and the Future of Education" is a timely response to this general state of panic, showing you that AI is a tool to leverage, not a threat to teaching and learning. By understanding what AI is, what it does, and how it can…
Descriptors: Artificial Intelligence, Futures (of Society), Teaching (Occupation), Ethics
Editorial Projects in Education, 2023
Artificial Intelligence (AI) is transforming traditional learning landscapes. This Spotlight will empower you with steps educators can take to be prepared for teaching in an AI-powered world; tips for using AI to plan lessons, email parents, and help struggling students; insights on principles to consider when crafting AI guidance; a guide to the…
Descriptors: Artificial Intelligence, Natural Language Processing, Computer Software, Educational Change
Shergill, Gagan; Camozzi, Hailey; O'Malley, Meagan D.; Ortiz, Arlene – Journal of Psychoeducational Assessment, 2023
The Comprehensive Test of Phonological Processing, 2nd Edition (CTOPP-2; Wagner et al., 2013) is commonly used in k-12 public schools to assess basic cognitive processing skills foundational for reading achievement. Psychometric support for its use with dual language learners (DLLs), a group representing over 10% of the school-aged population in…
Descriptors: Phonology, Language Processing, Bilingualism, English (Second Language)
Wang, Tianyi; McLaughlin, Colleen – Language and Intercultural Communication, 2023
This paper investigates the role of interpreters in addressing cultural differences in the context of a cross-cultural collaborative teacher professional development project. Based on positioning theory, this study employed interpreter-mediated interactions and interviews to reveal the complex roles that interpreters played when interpreting…
Descriptors: Cultural Differences, Faculty Development, Translation, Language Processing
Johansson, Baran – Reading in a Foreign Language, 2022
Previous studies have found that phonological processing and vocabulary predict word reading. However, their predictive powers may vary according to reading experience and across scripts with different levels of transparency. In this study, the relationship between phonological processing, decoding, vocabulary and word reading was explored in two…
Descriptors: Indo European Languages, Swedish, Language Skills, Reading Skills
Rzepka, Nathalie; Müller, Hans-Georg; Simbeck, Katharina – International Educational Data Mining Society, 2021
The ability to spell correctly is a fundamental skill for participating in society and engaging in professional work. In the German language, the capitalization of nouns and proper names presents major difficulties for both native and nonnative learners, since the definition of what is a noun varies according to one's linguistic perspective. In…
Descriptors: Spelling, German, Punctuation, Nouns
Previous Page | Next Page »
Pages: 1 | 2