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Xie, Ying; Lin, Shu-Yuan – Interactive Learning Environments, 2019
This study reports the effects of using word clouds to support students' knowledge integration from online inquiry as demonstrated by blog posts, tags and concept maps. Fifty-four undergraduate students from a medium-sized university in the northwestern United States were randomly assigned into two groups and blogged for five weeks. To support…
Descriptors: Undergraduate Students, Web Sites, Scaffolding (Teaching Technique), Inquiry
Al-Samarraie, Hosam; Selim, Hassan; Teo, Timothy; Zaqout, Fahed – Interactive Learning Environments, 2017
When faced with excessive detail in an online environment, typical users have difficulty processing all the elements of representation. This in turn creates cognitive overload, which narrows the user's focus to a few select items. In the context of e-learning, we translated this aspect as the learner's demand for a system that facilitates the…
Descriptors: Foreign Countries, Undergraduate Students, Instructional Design, Online Courses
Stranieri, Andrew; Yearwood, John – Interactive Learning Environments, 2008
This paper describes a narrative-based interactive learning environment which aims to elucidate reasoning using interactive scenarios that may be used in training novices in decision-making. Its design is based on an approach to generating narrative from knowledge that has been modelled in specific decision/reasoning domains. The approach uses a…
Descriptors: Feedback (Response), Nursing Students, Nursing Education, Knowledge Representation
Michael, Joel; Rovick, Allen; Glass, Michael; Zhou, Yujian; Evens, Martha – Interactive Learning Environments, 2003
CIRCSIM-Tutor is a computer tutor designed to carry out a natural language dialogue with a medical student. Its domain is the baroreceptor reflex, the part of the cardiovascular system that is responsible for maintaining a constant blood pressure. CIRCSIM-Tutor's interaction with students is modeled after the tutoring behavior of two experienced…
Descriptors: Natural Language Processing, Medical Students, Computer Mediated Communication, Artificial Intelligence