Education Commons^™

Leveraging Simulation To Understand Nursing Student Learning In Technologically Complex Environment, Deborah Rojas

UNLV Theses, Dissertations, Professional Papers, and Capstones

Introduction The adoption of simulation technologies in schools of nursing has increased significantly over the last 5 years. Results regarding the use of simulation technology have been positive. The use of simulation technologies has been developed to include complex nursing situations that resemble real clinical settings. Research has demonstrated that memory recall is better in an environment that is the same or similar to the environment in which the learning took place (Krokos et al., 2018). For this reason, educators have used simulation technologies to create realistic environments where students can learn. However, learning outcomes in simulations are affected by …

Influence Of Curricular Organization On Cognitive Load And Student Performance In Online Learning Environments, Michael Wilder

UNLV Theses, Dissertations, Professional Papers, and Capstones

The purpose of this study was to explore the influence of curricular organization on student cognitive load and student performance in online learning environments. The findings of this study contribute to the development of usable instruction design principles for online education.

This research study used the lens of cognitive load theory to examine how online course organization affects student learning. A review of the literature included the elements of cognitive architecture that have been measured in prior studies, various methods in which cognitive load has been measured, and the basic requirements for measurement of cognitive load in instructional research.

A …

Effective Use Of Multimedia Presentations To Maximize Learning Within High School Classrooms, Eric Eugene Rapp

UNLV Theses, Dissertations, Professional Papers, and Capstones

This research used an evidenced-based experimental 2 x 2 factorial design General Linear Model with Repeated Measures Analysis of Covariance (RMANCOVA). For this analysis, time served as the within-subjects factor while treatment group (i.e., static and signaling, dynamic and signaling, static without signaling, and dynamic without signaling) served as the between-subject independent variable. Three dependent variables were used to assess learner outcomes: (a) a 14 multiple-choice pre and post-test to measure knowledge retention, (b) a pre and post-test concept map to measure synthesis and structure of knowledge, and (c) four questions based on a Likert scale asking students to rank …