Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 0 |
Since 2006 (last 20 years) | 7 |
Descriptor
Artificial Intelligence | 9 |
Internet | 9 |
Metadata | 9 |
Computer Software | 6 |
Computer System Design | 6 |
Electronic Learning | 6 |
Programming | 5 |
Educational Technology | 4 |
Integrated Learning Systems | 4 |
Online Searching | 4 |
Standards | 4 |
More ▼ |
Source
Educational Technology &… | 2 |
Interactive Learning… | 1 |
Interactive Technology and… | 1 |
International Association for… | 1 |
International Journal of… | 1 |
Internet Research | 1 |
Journal of Interactive Media… | 1 |
ProQuest LLC | 1 |
Author
Aroyo, Lora | 1 |
Baghi, Hamidreza | 1 |
Bateman, Scott | 1 |
Biletskiy, Yevgen | 1 |
Dicheva, Darina | 1 |
Dietze, Stefan | 1 |
Domingue, John | 1 |
Eno, Joshua | 1 |
Gasevic, Dragan | 1 |
Gugliotta, Alessio | 1 |
Hatala, Marek | 1 |
More ▼ |
Publication Type
Journal Articles | 7 |
Reports - Research | 4 |
Reports - Descriptive | 2 |
Collected Works - Proceedings | 1 |
Dissertations/Theses -… | 1 |
Reports - Evaluative | 1 |
Education Level
Higher Education | 3 |
Postsecondary Education | 2 |
Elementary Secondary Education | 1 |
Audience
Location
Asia | 1 |
Australia | 1 |
Brazil | 1 |
Canada | 1 |
Connecticut | 1 |
Denmark | 1 |
Egypt | 1 |
Estonia | 1 |
Florida | 1 |
Germany | 1 |
Greece | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Hsu, I-Ching – Educational Technology & Society, 2012
The concept of learning objects has been applied in the e-learning field to promote the accessibility, reusability, and interoperability of learning content. Learning Object Metadata (LOM) was developed to achieve these goals by describing learning objects in order to provide meaningful metadata. Unfortunately, the conventional LOM lacks the…
Descriptors: Electronic Learning, Metadata, Knowledge Representation, Artificial Intelligence
Eno, Joshua – ProQuest LLC, 2010
Virtual worlds, which allow users to create and interact with content in a 3D, multi-user environment, growing and becoming more integrated with the traditional flat web. However, little is empirically known about the content users create in virtual world and how it can be indexed and searched effectively. In order to gain a better understanding…
Descriptors: Search Engines, Measures (Individuals), Internet, Artificial Intelligence
Biletskiy, Yevgen; Baghi, Hamidreza; Steele, Jarrett; Vovk, Ruslan – Interactive Technology and Smart Education, 2012
Purpose: Presently, searching the internet for learning material relevant to ones own interest continues to be a time-consuming task. Systems that can suggest learning material (learning objects) to a learner would reduce time spent searching for material, and enable the learner to spend more time for actual learning. The purpose of this paper is…
Descriptors: Internet, Search Engines, Online Searching, Electronic Libraries
Miller, L. D.; Soh, Leen-Kiat; Samal, Ashok; Nugent, Gwen – International Journal of Artificial Intelligence in Education, 2012
Learning objects (LOs) are digital or non-digital entities used for learning, education or training commonly stored in repositories searchable by their associated metadata. Unfortunately, based on the current standards, such metadata is often missing or incorrectly entered making search difficult or impossible. In this paper, we investigate…
Descriptors: Computer Science Education, Metadata, Internet, Artificial Intelligence
The Social Semantic Web in Intelligent Learning Environments: State of the Art and Future Challenges
Jovanovic, Jelena; Gasevic, Dragan; Torniai, Carlo; Bateman, Scott; Hatala, Marek – Interactive Learning Environments, 2009
Today's technology-enhanced learning practices cater to students and teachers who use many different learning tools and environments and are used to a paradigm of interaction derived from open, ubiquitous, and socially oriented services. In this context, a crucial issue for education systems in general, and for Intelligent Learning Environments…
Descriptors: Models, Interaction, Educational Technology, Design Requirements
Dietze, Stefan; Gugliotta, Alessio; Domingue, John – Journal of Interactive Media in Education, 2007
IMS Learning Design (IMS-LD) is a promising technology aimed at supporting learning processes. IMS-LD packages contain the learning process metadata as well as the learning resources. However, the allocation of resources--whether data or services--within the learning design is done manually at design-time on the basis of the subjective appraisals…
Descriptors: Learning Strategies, Learning Processes, Metadata, Resource Allocation

Maule, R. William – Internet Research, 1998
Develops frameworks to help Internet media designers address end-user information presentation preferences by advancing structures for assessing metadata design variables which are then linked to user cognitive styles. An underlying theme is that artificial intelligence (AI) methodologies may be used to help automate the Internet media design…
Descriptors: Artificial Intelligence, Cognitive Mapping, Cognitive Style, Design Requirements
Aroyo, Lora; Dicheva, Darina – Educational Technology & Society, 2004
The big question for many researchers in the area of educational systems now is what is the next step in the evolution of e-learning? Are we finally moving from a scattered intelligence to a coherent space of collaborative intelligence? How close we are to the vision of the Educational Semantic Web and what do we need to do in order to realize it?…
Descriptors: Semantics, Semiotics, Internet, Electronic Learning
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers