Publication Date
In 2025 | 1 |
Since 2024 | 6 |
Descriptor
Data | 6 |
Natural Language Processing | 6 |
Artificial Intelligence | 5 |
Classification | 2 |
Computation | 2 |
Feedback (Response) | 2 |
Higher Education | 2 |
Models | 2 |
Technology Uses in Education | 2 |
Academic Achievement | 1 |
Adolescents | 1 |
More ▼ |
Source
Australasian Journal of… | 1 |
IEEE Transactions on Learning… | 1 |
IGI Global | 1 |
Information and Learning… | 1 |
International Journal of… | 1 |
Physical Review Physics… | 1 |
Author
Alice Brown | 1 |
Christopher Dann | 1 |
Emily M. Stump | 1 |
Hao Zhou | 1 |
Hua Zhang | 1 |
Irene Lopatovska | 1 |
Jianfei Zhang | 1 |
Kamal Kant Hiran, Editor | 1 |
Leanne Bowler | 1 |
Linda Galligan | 1 |
Manish Dadhich, Editor | 1 |
More ▼ |
Publication Type
Journal Articles | 5 |
Reports - Research | 5 |
Books | 1 |
Collected Works - General | 1 |
Education Level
Higher Education | 2 |
Postsecondary Education | 2 |
Secondary Education | 1 |
Audience
Researchers | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Xuelin Liu; Hua Zhang; Yue Cheng – International Journal of Web-Based Learning and Teaching Technologies, 2024
In this article, a dialogue text feature extraction model based on big data and machine learning is constructed, which transforms the high-dimensional space of text features into the low-dimensional space that is easy to process, so that the best feature words can be selected to represent the document set. Tests show that in most cases, the…
Descriptors: Artificial Intelligence, Data, Text Structure, Classification
Rebeckah K. Fussell; Emily M. Stump; N. G. Holmes – Physical Review Physics Education Research, 2024
Physics education researchers are interested in using the tools of machine learning and natural language processing to make quantitative claims from natural language and text data, such as open-ended responses to survey questions. The aspiration is that this form of machine coding may be more efficient and consistent than human coding, allowing…
Descriptors: Physics, Educational Researchers, Artificial Intelligence, Natural Language Processing
Hao Zhou; Wenge Rong; Jianfei Zhang; Qing Sun; Yuanxin Ouyang; Zhang Xiong – IEEE Transactions on Learning Technologies, 2025
Knowledge tracing (KT) aims to predict students' future performances based on their former exercises and additional information in educational settings. KT has received significant attention since it facilitates personalized experiences in educational situations. Simultaneously, the autoregressive (AR) modeling on the sequence of former exercises…
Descriptors: Learning Experience, Academic Achievement, Data, Artificial Intelligence
Leanne Bowler; Irene Lopatovska; Mark S. Rosin – Information and Learning Sciences, 2024
Purpose: The purpose of this study is to explore teen-adult dialogic interactions during the co-design of data literacy activities in order to determine the nature of teen thinking, their emotions, level of engagement, and the power of relationships between teens and adults in the context of data literacy. This study conceives of co-design as a…
Descriptors: Librarians, Adolescents, Language Patterns, Public Libraries
Christopher Dann; Petrea Redmond; Melissa Fanshawe; Alice Brown; Seyum Getenet; Thanveer Shaik; Xiaohui Tao; Linda Galligan; Yan Li – Australasian Journal of Educational Technology, 2024
Making sense of student feedback and engagement is important for informing pedagogical decision-making and broader strategies related to student retention and success in higher education courses. Although learning analytics and other strategies are employed within courses to understand student engagement, the interpretation of data for larger data…
Descriptors: Artificial Intelligence, Learner Engagement, Feedback (Response), Decision Making
Ruchi Doshi, Editor; Manish Dadhich, Editor; Sandeep Poddar, Editor; Kamal Kant Hiran, Editor – IGI Global, 2024
A new challenge has become present in the field of generative artificial intelligence (AI). The fundamental nature of education, a vital element for advancing the United Nations' Sustainable Development Goals (SDGs), now grapples with the transformative impact of AI technologies. As we stand at this intersection of progress and pedagogy, critical…
Descriptors: Artificial Intelligence, Sustainable Development, Technology Uses in Education, Educational Innovation