Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 1 |
| Since 2016 (last 10 years) | 1 |
| Since 2006 (last 20 years) | 3 |
Descriptor
| Research | 3 |
| Artificial Intelligence | 1 |
| Bibliometrics | 1 |
| Citations (References) | 1 |
| Computational Linguistics | 1 |
| Cooperation | 1 |
| Data Analysis | 1 |
| Data Collection | 1 |
| Data Interpretation | 1 |
| Data Processing | 1 |
| Databases | 1 |
| More ▼ | |
Source
| British Journal of… | 3 |
Author
| Hung, Jui-long | 1 |
| Kelly, Nick | 1 |
| Kennedy-Clark, Shannon | 1 |
| Marshall, Ruth | 1 |
| Pardo, Abelardo | 1 |
| Smith, David | 1 |
| Thompson, Kate | 1 |
| Watson, Tony | 1 |
| Wheeler, Penny | 1 |
Publication Type
| Journal Articles | 3 |
| Reports - Descriptive | 2 |
| Information Analyses | 1 |
| Reports - Evaluative | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkMarshall, Ruth; Pardo, Abelardo; Smith, David; Watson, Tony – British Journal of Educational Technology, 2022
For the developers of next-generation education technology (EdTech), the use of Learning Analytics (LA) is a key competitive advantage as the use of some form of LA in EdTech is fast becoming ubiquitous. At its core LA involves the use of Artificial Intelligence and Analytics on the data generated by technology-mediated learning to gain insights…
Descriptors: Educational Technology, Learning Analytics, Ethics, Privacy
Thompson, Kate; Kennedy-Clark, Shannon; Wheeler, Penny; Kelly, Nick – British Journal of Educational Technology, 2014
This paper describes a technique for locating indicators of success within the data collected from complex learning environments, proposing an application of e-research to access learner processes and measure and track group progress. The technique combines automated extraction of tense and modality via parts-of-speech tagging with a visualisation…
Descriptors: Data Collection, Educational Environment, Research, Electronic Equipment
Hung, Jui-long – British Journal of Educational Technology, 2012
This study investigated the longitudinal trends of e-learning research using text mining techniques. Six hundred and eighty-nine (689) refereed journal articles and proceedings were retrieved from the Science Citation Index/Social Science Citation Index database in the period from 2000 to 2008. All e-learning publications were grouped into two…
Descriptors: Electronic Learning, Medical Education, Social Sciences, Journal Articles
