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1 – 3 of 3Lisa Bosman, Esteban Soto, Jason Ostanek, Jose Garcia-Bravo, Sunghwan Lee and Walter Leon-Salas
The National Science Foundation (NSF) Research Experience for Undergraduates (REU) programs are traditionally delivered in-person and full-time (40 h per week) for 10 weeks during…
Abstract
Purpose
The National Science Foundation (NSF) Research Experience for Undergraduates (REU) programs are traditionally delivered in-person and full-time (40 h per week) for 10 weeks during the summer. However, this type of format has the potential to limit broader student participation. This study aims to compare learning assessment data between a traditional NSF REU (10 weeks of summer, full-time, in-person) to an alternative NSF REU delivered virtually, part-time and over 10 months as a result of the coronavirus disease 2019 (COVID-19) pandemic.
Design/methodology/approach
A retrospective pre-then-post survey was completed to assess perceived learning gains for each REU program. Three learning gains categories were assessed: entrepreneurial competencies, career goals and research skill development. T-tests were used to evaluate a difference in means between pre and post.
Findings
Findings show the greatest quantity of learning gains within the alternative program delivery. Moreover, a larger quantity of learning gains was perceived within the first semester of the alternative program delivery compared to the second semester.
Practical implications
The authors propose the NSF should be intentional about trying new approaches to REU programs delivery, including duration and format, as a way to broaden participation in engineering.
Originality/value
This study is original in that it is the first of its kind to assess an alternative REU program delivery (allowed only because of the COVID-19 pandemic) in comparison to traditional REU program delivery.
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Keywords
Mennatallah Morsy, Paul Trott and Daniel Sunghwan Cho
The new concept of corporate social innovation (CSI) has witnessed a steady growth in the business and management academic world over the past 20 years. Yet its adoption by…
Abstract
Purpose
The new concept of corporate social innovation (CSI) has witnessed a steady growth in the business and management academic world over the past 20 years. Yet its adoption by corporations has been notably slow. This paper aims to operationalize the concept and develop a research agenda for CSI.
Design/methodology/approach
A systematic review of the current literature in the recent past (1999–2020) has been embraced in this research. The review is based on 40 articles and offers a descriptive and a thematic analysis of the literature.
Findings
The authors demonstrate the development of the concept over time and identify 12 themes to assist in the institutionalization of CSI.
Originality/value
To the best of the authors’ knowledge, this study is the first to provide an enhanced overview of the current state of CSI. The paper shows how a variety of different definitions of corporate social innovation have been used in the business and management literature. The findings provide a unique conceptual framework and a detailed research agenda for scholars seeking to examine CSI.
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Sunghwan Ahn, Nakju Lett Doh, Wan Kyun Chung and Sang Yep Nam
The purpose of this paper is to describe research to enable a robust navigation of guide robots in erratic environments with partial sensor information.
Abstract
Purpose
The purpose of this paper is to describe research to enable a robust navigation of guide robots in erratic environments with partial sensor information.
Design/methodology/approach
Two techniques were developed. One is a robust node discrimination method by using an adaptive sensor matching method. The other is a robot navigation technique with partial sensor information.
Findings
A successful navigation was implemented in erratic environments using partial sensor information.
Originality/value
First robot navigation is addressed along the generalized Voronoi graph (GVG) with partial sensor information. A solution is also provided for a phantom node detection problem, which is one of the main defects in GVG navigation.
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