NotesFAQContact Us
Collection
Advanced
Search Tips
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 466 to 480 of 1,532 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Jacqueline Zammit – Technology in Language Teaching & Learning, 2024
The Chat Generative Pretrained Transformer (ChatGPT) is a state-of-the-art artificial intelligence (AI) language model developed by OpenAI. It employs advanced deep-learning algorithms to generate text that mimics human language. ChatGPT, launched on November 30, 2022, has rapidly gained widespread recognition. Its influence on the future of…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Second Language Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Yu Bai; Jun Li; Jun Shen; Liang Zhao – IEEE Transactions on Learning Technologies, 2024
The potential of artificial intelligence (AI) in transforming education has received considerable attention. This study aims to explore the potential of large language models (LLMs) in assisting students with studying and passing standardized exams, while many people think it is a hype situation. Using primary education as an example, this…
Descriptors: Instructional Effectiveness, Artificial Intelligence, Technology Uses in Education, Natural Language Processing
Peer reviewed Peer reviewed
Direct linkDirect link
Andrew Williams – International Journal of Educational Technology in Higher Education, 2024
The value of generative AI tools in higher education has received considerable attention. Although there are many proponents of its value as a learning tool, many are concerned with the issues regarding academic integrity and its use by students to compose written assessments. This study evaluates and compares the output of three commonly used…
Descriptors: Content Area Writing, Artificial Intelligence, Writing Assignments, Biomedicine
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Giovanni Zimotti; Claire Frances; Luke Whitaker – Technology in Language Teaching & Learning, 2024
This study explores the perceptions of second language (L2) educators on the surge of Large Language Models (LLMs) like ChatGPT, and their potential impact on language education. We surveyed over 100 L2 instructors, asking questions about their ideas for AI-proofing assignments, their policies, and their perceptions of how this tool will impact…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Second Language Instruction
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Bima Sapkota; Liza Bondurant – International Journal of Technology in Education, 2024
In November 2022, ChatGPT, an Artificial Intelligence (AI) large language model (LLM) capable of generating human-like responses, was launched. ChatGPT has a variety of promising applications in education, such as using it as thought-partner in generating curricular resources. However, scholars also recognize that the use of ChatGPT raises…
Descriptors: Cognitive Processes, Difficulty Level, Artificial Intelligence, Natural Language Processing
Peer reviewed Peer reviewed
Direct linkDirect link
Wai Tong Chor; Kam Meng Goh; Li Li Lim; Kin Yun Lum; Tsung Heng Chiew – Education and Information Technologies, 2024
The programme outcomes are broad statements of knowledge, skills, and competencies that the students should be able to demonstrate upon graduation from a programme, while the Educational Taxonomy classifies learning objectives into different domains. The precise mapping of a course outcomes to the programme outcome and the educational taxonomy…
Descriptors: Artificial Intelligence, Engineering Education, Taxonomy, Educational Objectives
Peer reviewed Peer reviewed
Direct linkDirect link
Leila Mirzoyeva; Zhanna Makhanova; Mona Kamal Ibrahim; Zoya Snezhko – Cogent Education, 2024
The objective of this research is to investigate the effectiveness of integrating natural language processing (NLP) technologies into an English language learning program aimed at enhancing auditory and speaking competencies. The methodology of the research is grounded in the development and testing of the intervention effectiveness of neural…
Descriptors: Foreign Countries, Undergraduate Students, Language Skills, Auditory Training
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Ferdiye Çobanogullari – The EUROCALL Review, 2024
This literature review delves into the applications and implications of ChatGPT, an artificial intelligence-driven chatbot, in educational settings. As technology continues to permeate the field of education, ongoing debates persist regarding the potential impact on learners' critical thinking skills and the evolving role of educators. Instead of…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Educational Strategies
Peer reviewed Peer reviewed
Direct linkDirect link
Xi Lin – Adult Learning, 2024
This study explores the potential of ChatGPT as a virtual tutor to facilitate self-directed learning (SDL) among adult learners in asynchronous online contexts. Although SDL has been identified as a critical skill, factors such as the lack of skills to find resources and the absence of a supportive learning environment could impede adult learners'…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Student Motivation
Daniel L. Ofori-Addo – ProQuest LLC, 2024
During the last quarter century, the diffusion of information and communications technology (ICT) in Sub-Saharan Africa (SSA) has been shaped by noteworthy socioeconomic determinants and arguably resulted in significant socioeconomic impact. The first essay in this dissertation is an enquiry into the statistically significant socioeconomic…
Descriptors: Foreign Countries, Information Technology, Communication Skills, Socioeconomic Influences
Peer reviewed Peer reviewed
Direct linkDirect link
Kim, Min Kyu; Gaul, Cassandra J.; Kim, So Mi; Madathany, Reeny J. – Technology, Knowledge and Learning, 2020
While key concepts embedded within an expert's textual explanation have been considered an aspect of expert model, the complexity of textual data makes determining key concepts demanding and time consuming. To address this issue, we developed Student Mental Model Analyzer for Teaching and Learning (SMART) technology that can analyze an experts'…
Descriptors: Natural Language Processing, Educational Technology, Concept Mapping, Accuracy
Peer reviewed Peer reviewed
Direct linkDirect link
Hoppe, Dorothée B.; Rij, Jacolien; Hendriks, Petra; Ramscar, Michael – Cognitive Science, 2020
Linguistic category learning has been shown to be highly sensitive to linear order, and depending on the task, differentially sensitive to the information provided by preceding category markers ("premarkers," e.g., gendered articles) or succeeding category markers ("postmarkers," e.g., gendered suffixes). Given that numerous…
Descriptors: Discrimination Learning, Computational Linguistics, Natural Language Processing, Artificial Languages
Peer reviewed Peer reviewed
Direct linkDirect link
Somers, Rick; Cunningham-Nelson, Samuel; Boles, Wageeh – Australasian Journal of Educational Technology, 2021
In this study, we applied natural language processing (NLP) techniques, within an educational environment, to evaluate their usefulness for automated assessment of students' conceptual understanding from their short answer responses. Assessing understanding provides insight into and feedback on students' conceptual understanding, which is often…
Descriptors: Natural Language Processing, Student Evaluation, Automation, Feedback (Response)
Peer reviewed Peer reviewed
Direct linkDirect link
Lee, Gyeong-Geon; Jang, Wonhyeong; Hong, Hun-Gi – Asia Pacific Education Review, 2021
This study adopted a novel text mining (TM) technique in curriculum studies to analyze the multi-layered South Korean curriculum document (CD) system from 2012 to 2017. A total of 716 CDs from the national, regional, and school levels corresponding to 23.4 million Korean characters were examined through keyword frequency analysis, topic modeling…
Descriptors: Foreign Countries, Administrative Organization, Centralization, Curriculum
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Wan, Qian; Crossley, Scott; Banawan, Michelle; Balyan, Renu; Tian, Yu; McNamara, Danielle; Allen, Laura – International Educational Data Mining Society, 2021
The current study explores the ability to predict argumentative claims in structurally-annotated student essays to gain insights into the role of argumentation structure in the quality of persuasive writing. Our annotation scheme specified six types of argumentative components based on the well-established Toulmin's model of argumentation. We…
Descriptors: Essays, Persuasive Discourse, Automation, Identification
Pages: 1  |  ...  |  28  |  29  |  30  |  31  |  32  |  33  |  34  |  35  |  36  |  ...  |  103