2012 International Conference on Machine Learning and Cybernetics 2012
DOI: 10.1109/icmlc.2012.6359634
|View full text |Cite
|
Sign up to set email alerts
|

A mashup-based adaptive learning system

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
0
0

Year Published

2021
2021
2021
2021

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 10 publications
0
0
0
Order By: Relevance
“…Specifically, the study found that perceived usefulness was the best predictor of user acceptance of a tool that allowed users to integrate multiple different iGoogle widgets (with different functions) into the Google calendar. Even more relevant to this article's focus on mashups for educational purposes, is a different study that utilized TAM to explain students' intention to use a mashup search engine, that allowed students to effectively search for learning materials, while integrating their learning style scores with teaching material category [78].…”
Section: Technological Acceptance Modelmentioning
confidence: 99%
“…Specifically, the study found that perceived usefulness was the best predictor of user acceptance of a tool that allowed users to integrate multiple different iGoogle widgets (with different functions) into the Google calendar. Even more relevant to this article's focus on mashups for educational purposes, is a different study that utilized TAM to explain students' intention to use a mashup search engine, that allowed students to effectively search for learning materials, while integrating their learning style scores with teaching material category [78].…”
Section: Technological Acceptance Modelmentioning
confidence: 99%