engineeringeducation by establishing innovation infrastructures [1]. These initiatives focus on enhancingstudents' innovation competencies, as summarized in the framework researched in [2], whichcomprises skills such as problem-solving, design thinking, creativity, project management,prototyping, teamwork, and leadership, etc. One effective pedagogical approach in this regard ischallenge-based learning (CBL) [3], which engages students in the identification, analysis, design,and implementation of solutions to open-ended sociotechnical problems [4]. CBL is inherentlymultidisciplinary, drawing on diverse perspectives and skills required in product development [5]and design thinking [6]. In complement to the traditionally theoretical richness of
, which are all vital in their respective fields.IntroductionThe Professional Science Master's (PSM) degree arose in the late 1990s to fill a gap betweenoverqualified PhDs and underprepared undergraduates in science fields [1]. PSM programsprovide graduate-level science training plus professional skills valued by employers [2]. Theadvantages of PSM degrees include career preparation, practical experience, high employability,networking opportunities, specialized knowledge, and lower cost versus a PhD. The PSM alignswith best practices proposed for master's degrees by higher education organizations [3], [4], [5].MTSU's PSM program (MSPS degree) meets the requirements for formal PSM affiliation [6].The interdisciplinary MSPS integrates science and
was to provide an early-career, technology-oriented degree to professionals that addressleadership, management, and technical knowledge. Once completed, the degree will expand thegraduates’ career opportunities and add value to their organizations. [1], [2]Literature ReviewThe origin of the MSEM program differs from many other online master’s programs inengineering management, in that other online programs were often designed around existingengineering management or industrial engineering courses in corresponding degree-grantingdepartments. [3], [4], [5] This originating agency concept is common, though for EngineeringManagement programs, the courses may be interdepartmental or cross-disciplinary. [6], [7]However, Tennessee Tech University
. In addition, the efficiency of design and construction projectteams may also be strengthened throughout this process.IntroductionTeams are structured groups of people working on defined common goals that require coordinatedinteractions to accomplish specific tasks [1]. Each team member contributes knowledge, services,and proficiency to help the team attain its objective. The notion of teams has become the basicbuilding block of present-day organizational designs [2]. Currently, most industries rely onteamwork more than ever to overcome daily challenges. The major goal is setting up teams andensuring they successfully achieve their assigned project outcomes. Teams are usually composedof people with diverse backgrounds, experiences, and
driven by entrepreneurship. For example, only 1 in 6 employees in SiliconValley startup companies are women (Financial Times 2017). In this study, we develop a fieldexperiment designed to increase entrepreneurial proclivity in undergraduate women studyingSTEM fields. Entrepreneurial proclivity is defined as the extent of an individual’s (1) intentionsto engage in entrepreneurship, (2) efforts to acquire knowledge about entrepreneurship, and (3)entrepreneurial actions. There is a general agreement in the literature that women are less likely than men to beinvolved in entrepreneurship [1], [2]. In 2016, women were majority owners for 38% of firms,and this ownership was concentrated primarily in non-STEM retail and service industries [3],[4
Resilience in the context of Higher Education Institutions 1. Abstract COVID-19 affected everyone’s life; this truthful statement also applies to teaching and learningcontexts and how difficult it was for universities to face the pandemic. Some universities didwell during the pandemic by being resilient, but some were unprepared, and a few failed on thetask. This full paper presents findings from a work-in-progress (WIP) systematic literaturereview on Organizational Resilience (OR) in the context of Higher Education Institutions (HEIs).The study follows a systematic literature review method to analyze and categorize currentresearch on Organizational Resilience applied to Higher Education Institutions. Thismethodology
programs, achieving high effectiveness andfosters the achievement of set goals.IntroductionEfficiently managing large educational STEM programs, particularly interdisciplinary projects,requires a harmonious blend of team dynamics and individual personality strengths [1]. Theseprojects bring together experts from divergent disciplines to collaborate towards common goals,making the team set up a critical determinant of success. While much attention has been givento factors like team composition, size, and tenure, the impact of team members’ personality traitson overall team effectiveness remains unexplored.Interdisciplinary Science, Technology, Engineering, and Mathematics (STEM) projects involvecollaboration across multiple disciplines to address
the current usage and perceptions of industryprofessionals about AI tools in project management tasks. The specific research questions are:(1) What factors influence the usage of AI tools in project management practices? (2) How areproject managers currently using AI tools? (3) What are their perceptions of these tools?Methods: A survey was designed to gauge industry professionals' usage and perceptionsregarding AI's tools in project management tasks and included questions to gather demographicdata. This survey was shared across multiple project management groups on LinkedIn over athree-month duration, attracting 113 responses. A cleaning process was implemented to removeany invalid responses. A correlational analysis was performed on the
objectives. Ultimately, at the close of the Capstone course, students arerequired to present a design solution to their client that meets expectations.Literature suggests that project success could depend on many factors which also contribute toteam members’ overall satisfaction. These factors include balancing team members’ projectinterests, their desire to work with specific peers with varied personalities, and withconsideration to institutional project priority [1-3]. Balancing all these factors during teamformation is time-consuming for course instructors, but doing so is crucial for teams’ success incompleting projects. Team formation in the Capstone course is a key activity undertaken by allcourse instructors in cooperation, as it plays a
demand for professionals equippedwith unique skill sets that complement AI systems is surging [1], [2]. To maintain a competitiveedge in this evolving environment, educational institutions must prepare students not only withtechnical knowledge but also with professional skills such as critical thinking, adaptability,creativity, collaboration, and ethical decision-making [3], [4]. These competencies are essentialfor thriving in AI-enhanced workplaces, where traditional roles are being redefined, andinterdisciplinary approaches are becoming the norm. In light of these challenges, the role ofeducators is pivotal in reshaping curricula and teaching strategies to address the gaps betweentraditional education and the demands of AI-driven industries [5
education to help overcome the common misconception that onlinelearning is a solitary, self-paced, non-instructor led activity [1], and it retains the social andparticipation aspects that are a key factor in the success of online learning [2]. The 2010 meta-analysis performed by the U.S. Department of Education [3] found that, on average, students inonline learning conditions performed modestly better than those receiving face-to-faceinstruction. Moreover, using the live interaction instruction possible with Zoom and BlackboardCollaborate could help address the Sloan-C quality elements including learning and costeffectiveness and institutional commitment, access, faculty and student satisfaction [4].IntroductionAlthough the successes and student
testament to the transformative potential of education—notonly in shaping individual careers, but also in advancing industries and influencing society atlarge.References 1. Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108–116. This article discusses how businesses implement AI successfully and emphasizes managerial decision-making, similar to the focus of the course. 2. Raj, P., & Swami, S. N. (2020). Artificial intelligence and machine learning for business: A no-nonsense guide to data-driven technologies. Springer. This book provides a managerial perspective on AI technologies, making it relevant to your course’s emphasis on non-technical AI