Displaying all 4 results
- Conference Session
- Poster Session
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- 2019 ASEE Annual Conference & Exposition
- Authors
- Kenie R. Moses
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- Computers in Education
were asked tocomplete scales measuring self-efficacy and anxiety at three time points that coincided withmidterm examinations. Multilevel longitudinal modeling (MLM) was used to assess theeffects of the assistive MLEs on problem-solving self-efficacy and anxiety. MLM was alsoused to assess effects of problem-solving self-efficacy (NTSEI) scores and problem-solvinganxiety (PSA) scores on student examination scores. Results showed a significant negativeeffect of CircuitITS on NTSEI scores but a positive significant effect of NTSEI scores onexam scores for both tutors. This research study provides results that are counterintuitive tothe proposed outcome suggesting that CircuitITS produced a reduction in problem-solvingself-efficacy among its
- Conference Session
- Poster Session
- Collection
- 2019 ASEE Annual Conference & Exposition
- Authors
- Kenie R. Moses, Educational Technology Research & Assessment
- Tagged Divisions
- Computers in Education
. Akpınar, “The effect of mobile learning applications on students’ academicachievement and attitudes toward mobile learning,” Malaysian Online Journal of Educational Technology,vol. 6, no. 2, pp. 48–59, Apr. 2018.[39] B. Tabuenca, M. Kalz, H. Drachsler, and M. Specht, “Time will tell: The role of mobile learninganalytics in self-regulated learning,” Computers & Education, vol. 89, pp. 53–74, Nov. 2015.[40] K. Moses, “Examining the Effects of Using a Mobile Digital Assistive Tutor for Circuit Analysis onStudents’ Academic Achievement, Problem-Solving and Self-Efficacy,” PhD Thesis, Northern IllinoisUniversity, 2019.
- Conference Session
- Technical Session 11: Topics related to Computer Science
- Collection
- 2019 ASEE Annual Conference & Exposition
- Authors
- Leila Zahedi, Florida International University; Monique S Ross, Florida International University; Jasmine Skye Batten, Florida International University
- Tagged Topics
- Diversity
- Tagged Divisions
- Computers in Education
has drawn even more attention to theunderrepresentation of women in computing. Women currently comprise only 15.7% of computingdegrees awarded, a proportion that has been declining in the past three decades. Some researchersbelieve that this is due to the fact that women experience lower perception of self-efficacy andhigher perception of computer anxiety (Ahuja & Thatcher, 2005; Venkatesh & Morris, 2000;Whitley, 1997). Many female students believe that traditional approaches of teaching computerscience are boring and uninviting (AAUW, 2000; Margolis & Fisher, 2002; Ashcraft et al., 2012).Therefore, gamification can be a potentially promising approach to enhance the engagement andenjoyment of computer science students. There are
- Conference Session
- Technical Session 13: Digital Learning
- Collection
- 2019 ASEE Annual Conference & Exposition
- Authors
- Sang Myong Yim, United States Military Academy; Christopher J. Lowrance, United States Military Academy; Eric M. Sturzinger, United States Military Academy
- Tagged Topics
- Diversity
- Tagged Divisions
- Computers in Education
quitting, suggesting that the most pertinent information should appear in the first half ofthe video.Wu et al. investigated the key factors of student learning satisfaction in a blended e-learningenvironment, where instruction consisted of a mix of face-to-face and online education. 9 Theyargued that a blended learning environment has the potential to maximize the best advantages ofboth instructor-driven and online education. Using questionnaire data, they discovered thatcomputer self-efficacy, system functionality, content feature, and interaction all impact a student’sexpectations, learning climate, and satisfaction of a course.Lim et al. looked at the differences in learning outcomes and student perceptions betweenstudents enrolled in two