A conceptual map model for developing intelligent tutoring systems
Computers & Education
Context-Aware Support for Computer-Supported Ubiquitous Learning
WMTE '04 Proceedings of the 2nd IEEE International Workshop on Wireless and Mobile Technologies in Education (WMTE'04)
Ubi-learning integrates indoor and outdoor experiences
Communications of the ACM - Interaction design and children
An activity-theoretical approach to investigate learners' factors toward e-learning systems
Computers in Human Behavior
eTeacher: Providing personalized assistance to e-learning students
Computers & Education
An adaptive testing system for supporting versatile educational assessment
Computers & Education
Technology as small group face-to-face Collaborative Scaffolding
Computers & Education
Integrating Mobile, Web and Sensory Technologies to Support Inquiry-Based Science Learning
WMUTE '10 Proceedings of the 2010 6th IEEE International Conference on Wireless, Mobile, and Ubiquitous Technologies in Education
The design and implementation of a competency-based intelligent mobile learning system
Expert Systems with Applications: An International Journal
Learning in a u-Museum: Developing a context-aware ubiquitous learning environment
Computers & Education
A platform on the cloud for self-creation of mobile interactive learning trails
International Journal of Mobile Learning and Organisation
A context-aware video prompt approach to improving students' in-field reflection levels
Computers & Education
International Journal of Mobile and Blended Learning
Proceedings of the Fourth International Conference on Learning Analytics And Knowledge
Integrated Computer-Aided Engineering
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The advancement of wireless and mobile technologies has enabled students to learn in an environment that combines learning resources from both the real world and the digital world. Although such an approach has been recognized as being innovative and important, several problems have been revealed in practical learning activities. One major problem is owing to the lack of proper learning strategies or tools for assisting the students to acquire knowledge in such a complex learning scenario. Students might feel excited or engaged when using the mobile devices to learn in the real context; nevertheless, their learning achievements could be disappointing. To deal with this problem, this study presents a mobile learning system that employs Radio Frequency Identification (RFID) technology to detect and examine real-world learning behaviors of students. This study also utilizes each student's responses from a two-tier test (i.e., multiple-choice questions in a two-level format) to provide personalized learning guidance (called two-tier test guiding, T^3G). The experimental results from a natural science course of an elementary school show that this innovative approach is able to improve the learning achievements of students as well as enhance their learning motivation.