Aim/Purpose: Alignment of academic curricula and employer needs is widely discussed yet implementation lags. Research on EdD curricula has universality for other academic programs and may catalyze pedagogical innovation to promote employability in other disciplines. Background: This study contributes evidence-based data to strengthen career relevance of academic programs, align curriculum content with industry requirements, prepare students for the workforce, and improve job placement rates, defined as degree-related employment. Methodology: In this mixed method study, current Doctor of Education (EdD) students and employers of Doctor of Education (EdD) graduates commented on the alignment of the EdD curriculum with industry-specific needs. Contribution: Results may promote corporate and academic partnership to optimize alignment of curricula and industry needs. Findings: Partnerships between educators and employers in developing curricula can bridge the industry specific skills gap and enhance students’ understanding of the professional workplace and capacity to communicate, be empathetic, and solve problems. Recommendations for Practitioners: Educators can strengthen capacity for the adaptability and continuous learning associated with mastering new skills as technology evolves. Employers can provide skilling, reskilling, and upskilling opportunities, offer job shadowing and internships, and participate in collaborative research. Recommendation for Researchers: Researchers can develop pedagogy targeting interpersonal, communication, participative, and organizational competencies. Impact on Society: Improving graduate employability creates positive outcomes for graduates, educators, employers, and the global economy. Future Research: Perceived employability is a powerful motivator. Research is needed to reframe curricula to synthesize discipline-specific skills with generic skills, such as teamwork, communication, and critical thinking, that enhance students’ self-confidence and self-perceptions of employability
Background: Robotic kits are a popular, modern pastime primarily marketed and designed for younger generations. Kits designed for use by older adults have the potential to promote cognitive, physical, and social engagement.Objective: This study sought to determine characteristics and abilities of older adults that predicted efficiency, perceived usability, and engagement in building a market-available kit. Methods: Fifty-nine adults, 25 males, and 34 females, ages 55 to 87 (M = 70.80, SD = 8.44) completed a series of assessments for spatial visualization, visual abilities, working memory, and dexterity before assembling a robot kit. Results: Backwards regression was utilized to create significant prediction models for five outcome variables: time on task, perceived system usability, task engagement, distress (i.e. negative affect), and worry (i.e. self-focused attention). Conclusion:Results indicated that younger individuals and those with higher spatial visualization ability completed the build faster and perceived the kit to be more usable. Dexterity in the non-dominant hand also predicted faster build times. The findings of this study can be used to inform gerontechnological designs of assembly kits. Future studies can examine if the important factors identified here are predictive of performance in building more complex robotic kits.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.