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Item Big and Small: Active Learning in Online and Face-to-Face Courses(2017-04-07) Hook, Sara Anne; Zhu, LiugenDrawn from the literature and the experiences of two faculty members, this presentation will highlight a variety of opportunities to promote active learning in online and face-to-face courses. Although some options may require substantial adjustment in pedagogical and logistical approaches, they will demonstrate how even small changes in a course can result in big improvements in student engagement and success.Item Grit and deomgraphic characteristics associated with nursing student course engagement(2015-03-03) Robinson, Wanda Lynn; Bakas, Tamilyn; McNelis, Angela; Friesth, Barbara Manz; Horton-Deutsch, SaraEducating a sufficient nursing workforce to provide high quality, compassionate, and ethical care to an increasingly diverse population is an ongoing challenge and opportunity for nurse educators. Current literature highlights the importance of engaging students in learning to strengthen student achievements. Fostering student engagement within nursing courses is particularly important. Grit (consistency of interest and perseverance of effort) is a factor that may be associated with student course engagement. Demographic characteristics of age, gender, race/ethnicity, prior education, degree program, and self-reported grade point average (GPA) also may be factors associated with student course engagement. Guided by a conceptual model derived from the literature, the purpose of this study was to determine whether grit and demographic characteristics were associated with student course engagement (skills, emotion, participation/interaction, and performance) within a nursing course. Using an exploratory, descriptive, cross-sectional design, a convenience sample of 97 nursing students in a didactic health assessment course was administered the Student Course Engagement Questionnaire (SCEQ), visual analog scales for student engagement, Grit-S Scale, and a Student Demographic Characteristics form. Using multiple regression, 22% of the variance (21% Adjusted) of total student engagement (SCEQ) was explained by total grit scores (Grit-S) F(1,95) = 26.54, p<.001. Further analyses of student engagement were conducted using the SCEQ subscales and visual analog scales with similar results. Findings provided support for the conceptual model used to guide the study, although replication of the study was recommended across varied learning environments. Findings warrant further study regarding grit as a potential area for the future development of strategies to foster engagement of nursing students in the classroom.Item How To Get the Most From Canvas: Best Practices and Lessons Learned(2017-06-12) Elliott, Rob; Hook, Sara AnneThis engaging presentation offers a wealth of insights, tips and recommendations for how to get the most from Canvas, including tools included or accessible via Canvas and Canvas Analytics. Reflecting rich diversity in subject expertise, the presenters have been teaching and taking online courses for more than 30 years combined. Specific topics to be covered: Enhancing Student Engagement and Collaboration, Canvas Analytics and Course Organization: Pages versus Modules.Item The Relationship Between Undergraduate, Baccalaureate Nursing Student Engagement and Use of Active Learning Strategies in the Classroom(2010-03-03T17:17:34Z) Popkess, Ann M.; Halstead, Judith A.; McDaniel, Anna; Fisher, Mary L., Ph.D.; Stokes, LillianNursing schools are facing demands to admit and graduate increasing numbers of students to meet the needs of the future healthcare system. Nursing schools must therefore admit, retain and graduate qualified applicants, able to provide care in complex healthcare environments. Educators are challenged to identify the best educational practices to retain and engage learners in the learning process. Research has indicated that student engagement contributes to student success in college. Learning environments may influence student engagement through the use of active learning strategies in the classroom. The purpose of this descriptive study was to explore the extent of engagement reported by nursing students in classrooms and determine relationships among student engagement, demographic and academic variables and learning environments. Astin’s (1985) Input-Environments-Output model provided the framework for this study, linking student characteristics, and student engagement in learning with outcomes of learning. A sample of 347 undergraduate baccalaureate nursing students from 5 mid-western schools of nursing completed the Adapted Engaged Learning Index (AELI) and the Active Learning Environments Scale (ALES), measuring their level of engagement and perceived degree of active learning in the classroom, respectively. Subjects also provided demographic data including age, academic level, type and number of hours worked off campus, and prior learning experience. T-test and ANOVA analyses were conducted to compare group differences on demographic, learning environments (active, passive and mixed) and levels of engagement. Results indicated a significant (p≤.001) difference in the level of student engagement related to the perceived active learning occurring in the classroom. Students in active and mixed learning environments reported higher engagement levels than those in passive learning environments. Students over 25 years (p=.003), students with higher GPA’s (p≤ .05) and junior students (p≤ .001) reported significantly higher engagement scores than their counterparts. Findings from this study indicate that student engagement in the learning process may be positively influenced by an active learning environment in the classroom.