J
Ju Ling Shih
Researcher at National Central University
Publications - 50
Citations - 1152
Ju Ling Shih is an academic researcher from National Central University. The author has contributed to research in topics: Educational technology & Experiential learning. The author has an hindex of 15, co-authored 46 publications receiving 997 citations. Previous affiliations of Ju Ling Shih include National University of Tainan & Tamkang University.
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Journal Article
An Inquiry-based Mobile Learning Approach to Enhancing Social Science Learning Effectiveness
TL;DR: An inquiry-based approach is proposed for developing the mobile learning system for supporting exploration activities in authentic learning environments to facilitate students' field studies; in the meantime, the cognitive loads of the students were taken into account when designing the user interface.
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An investigation of attitudes of students and teachers about participating in a context-aware ubiquitous learning activity
TL;DR: A context-aware u-learning environment is developed for learning about campus vegetation in elementary schools based on an innovative approach by employing repertory grid method in designing learning content and reveals that the environment is capable of enhancing students’ motivation and learning effectiveness.
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Game factors and game-based learning design model
Yen-Ru Shi,Ju Ling Shih +1 more
TL;DR: This study presents macrodesign concepts that elucidates 11 crucial game-design factors, including game goals, game mechanism, game fantasy, game value, interaction, freedom, narrative, sensation, challenges, sociality, and mystery, which can assist educational game designers in developing interesting games.
Journal Article
A Decision-Tree-Oriented Guidance Mechanism for Conducting Nature Science Observation Activities in a Context-Aware Ubiquitous Learning Environment
TL;DR: A decision-treeoriented mechanism is developed, enabling digital guidance for students to observe and classify real-world objects in the learning activities of natural science courses, and results show that the system had a positive impact on students’ learning, especially on the affective domain.
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The influence of collaboration styles to children's cognitive performance in digital problem-solving game William Adventure: A comparative case study
TL;DR: The research results show that different collaboration models, strategies, as well as atmospheres can greatly influence the performances of its members and, in collaboration, each individual can have better learning effectiveness.