A comparative analysis of ABE Bachelor of Science programs in European and US Universities.

European Universities are involved in series of great changes regarding teaching and education organization during the last few years. The origin of these changes is the creation of the so-called European Higher Education Area (EHEA), which main target is to harmonize the different University studies throughout Europe. As a consequence, most of the programs of studies in all degrees are suffering changes in order to converge to common structures. Taking advantage of the actual process, some European universities are moving from traditional Agricultural Engineering programs to a more wide discipline named recently as Biosystems Engineering, which is a science- based engineering discipline that integrates engineering science and design with applied biological, environmental and agricultural sciences, broadening in this way the area of application of Engineering sciences not strictly to agricultural sciences, but to the biologic al sciences in general, including the agricultural sciences. This paper presents a comparative study of different Bachelor of Science degrees offered by American and European Universities in the field of Agricultural/Biosystems Engineering. To carry out the analysis 40 programs accredited by ABET in American Universities and 50 European programs. Among other questions, the total number of credits, the number of semesters, the kind of modules and the distribution of subjects in groups (Basic Sciences, Engineering Fundamentals, Agricultural/Biological Sciences, Humanities & Economic Sciences, Applied Agricultural/Biological Engineering and electives) are discussed in the paper. The information provided can be an useful starting point in future definitions of new or renewed degrees with the aim of advancing in internationalization of the programs and helping student’s mobility.

The college student and his problems,

Why go to college?--The choice of a college.--The selection of a course.--The fateful first year.--Fraternities.--Athletics.--Other college enterprises.--Electives.--The choice of life-work.--A few last words.--Appendix: Expenses.

Electronic Channels of Distributions: Challenges and Solutions for Hotel Operators

This paper addresses the issues of hotel operators identifying effective means of allocating rooms through various electronic channels of distribution. Relying upon the theory of coercive isomorphism, a think tank was constructed to identify and define electronic channels of distribution currently being utilized in the hotel industry. Through two full-day focus groups consisting of key hotel electives and industry practitioners, distribution channels wen identified as were challenges and solutions associated with each

Hospitality Education: Prevalent Perceptions

The composition of hospitality curricula has been debated by educators, alumni, and industry professionals for the last 30 years. Some higher education programs have emphasized the teaching of professional courses, while others have focused primarily on management. This study recalls highlights of curriculum research conducted since the late 1970s and provides current perceptions of alumni, lodging, and restaurant professionals on core, support, and advisor-approved electives.

High School Influences on the Selection of Athletic Training as a Career

Context: Research suggests internships, mentorship, and specialized school programs positively influence career selection; however, little data exists specific to athletic training. Objective: We identified high school (HS) experiences influencing career choice in college athletic training students (ATS). Design: Our survey included 35 Likert-type close-ended questions, which were reviewed by a panel of faculty and peers to establish content and construct validity. Setting: Participants completed an online questionnaire at their convenience. Participants: 217 college ATS (153 female, 64 male) from a random selection of accredited programs on the east coast. We excluded minors, freshmen, and undecided majors from the study. Informed consent was implied by proceeding to the questionnaire. Data Collection and Analysis: We used descriptive statistics to analyze the data collected via a secure website. Results: Mentors were most influential in the decision of career path (62.4%;n=131/210) with 85.2% (n=138/162) reporting mentors were readily available to answer questions regarding career options and 53.1% (n=86/162) counseled them regarding HS electives. Of participants involved in an internship (41.0%;n=86/210), most developed such opportunities independently (66.3%;n=57/86). Respondents who attended traditional HS suggested providing diverse electives (71.9%;n=133/185), additional internship (53.5%;n=99/185), and mentorship (33.0%;n=61/185) opportunities to effectively educate students regarding career options. Conclusions: College ATS that gained internship experience during HS report the opportunity positively influenced their career selection. Mentors support HS students by offering insight and expertise in guiding students’ career choices. Participants suggested HS afford diverse electives with internship and mentorship opportunities to positively influence interested students towards pursuing a career in athletic training.

Using Information on Unconstrained Student Demand to Improve University Course Schedules

We examine how using information on unconstrained demand can improve operational decisions. Specifically, we examine the widespread problem of developing course schedules in not-for-profit university settings. We investigate the potential benefit of incorporating, into the scheduling process, information on the unconstrained demand of students for courses. Prior to this study, the status quo in our college, like that in a large proportion of university settings, was building the course schedule to avoid time conflicts between required courses and to minimize time conflicts between designated groups of courses, such as electives in a particular area. Compared to the status quo approach, we find that, based on three semester's worth of actual data, an approach that explicitly considers students’ course preferences improves a student-based metric of schedule quality on the order of over 4% (which is the equivalent, in our setting, of improving service for over 20% of students).