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Reed, Janet; Alterio, Brittany; Coblenz, Hannah; O'Lear, Taylor; Metz, Tomek – Journal of Interactive Learning Research, 2023
Generative artificial intelligence (AI) allows for the transformation of written text into artistic images of varying styles. Scholars and researchers are beginning to explore the benefits of this technology to improve reflective practices and critical analyses in education. The extent to which AI-generated images can be used in nursing education…
Descriptors: Nursing Education, Artificial Intelligence, Undergraduate Students, Teaching Methods
Cheon, Jongpil; Grant, Michael M. – Journal of Interactive Learning Research, 2009
The purpose of this study was to examine the effectiveness of three different interface types on Web-based instruction: a text-based interface, a graphical interface and a metaphorical interface. In order to determine differences among three interface groups, we compared learning performance, cognitive load, usability, and appeal with various data…
Descriptors: Undergraduate Students, Web Based Instruction, Computer Assisted Instruction, Computer Interfaces
Peer reviewedRecker, Mimi M.; Govindaraj, T.; Vasandani, Vijay – Journal of Interactive Learning Research, 1998
Demonstrates the use of simulation systems for studying diagnostic problem solving and presents results from two empirical studies in which undergraduates diagnosed faults that occurred in a computer-based, dynamic simulation. Discusses dual problem space search that includes generating and testing hypotheses; suggests implications for designing…
Descriptors: Computer Assisted Instruction, Computer Simulation, Computer Software Development, Higher Education
Glenn, Lowell M.; Jones, Christopher G.; Hoyt, Jeff E. – Journal of Interactive Learning Research, 2003
This analysis examined the contrasts between online and traditional delivery methods in terms of the impact on student learning and satisfaction for similar course material. It built on the work of other researchers who have asked these types of questions for individual courses and relatively small sample sizes. However, this analysis expanded the…
Descriptors: Undergraduate Students, Business Administration Education, Computer Science Education, Distance Education

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