Enterprise Systems: Curriculum design and assessment

We present a curriculum that prepares students for supporting large Enterprise Information Systems (EIS). EIS is best explained through the evolution of Enterprise Resource Planning (ERP). These systems evolved over the last years driven by (1) changing business requirements and (2) new development capabilities provided by technologies evolution and software vendors’ innovation. These developments led to a new discipline—Enterprise Information Systems, which deals with issues whose focus is on creating and sustaining business benefits through the utilization of corporate IT infrastructure assets. Currently, EIS knowledge is essentially acquired on the job after substantial time of experience building and longer career ladder scale. This paper presents an experience of a curriculum implementation that prepares students for the pervasive EIS landscape in meeting today’s corporate needs. Our IT-based educational approach is evaluated as an alternative to prevailing Business-based approaches to EIS instruction. In this IT-rooted approach, the curriculum is divided into four sections: a Core IT block of courses followed by two progressive-levels of advanced EIS-related specialized subjects, and an industry-oriented field-training experience. Initially, a Core IT background provides a foundation for IT innovation in developing EIS components at sophomore-level. A junior-level of specialized instruction introduces integrated modules which form EIS platforms. Finally, supporting technologies of EIS-related processes and workflows are presented at senior-level of specialized EIS instruction. An assessment case study of the proposed Enterprise System programs is carried out through which we discuss the results of the curriculum performance.     

Making professional referrals

Lamaze Certified Childbirth Educators have a duty to their clients to make referrals to qualified professionals-in this case, to an expert in nutrition, a dietician. A reasonable way to assure a quality referral is to contact the appropriate professional organization.     

College Students’ Reasons for Depression Nondisclosure in Primary Care

Unwillingness to share depression experiences with primary care physicians contributes to the undertreatment of depression. This project examined college students’ reasons for depression nondisclosure to primary care providers (PCPs). Undergraduate participants read a vignette describing someone with depression and completed measures of disclosure barriers. Analyses indicated 26% of respondents would NOT disclose depression symptoms to PCPs. Reasons for nondisclosure included difficulty initiating the depression conversation, medication aversion, and fear of referral to a psychologist. Also, anger toward the vignette character varied with disclosure willingness, suggesting that nondisclosers feel more stigma than disclosers and are less likely to engage in psychotherapy. Because engagement in pharmacological and/or psychotherapeutic treatment requires identification of depression in healthcare settings, increased understanding of disclosure barriers could increase students’ access to depression treatment.     

Inference Based on the Best-Fitting Model Can Contribute to the Replication Crisis: Assessing Model Selection Uncertainty Using a Bootstrap Approach

Inferences and conclusions drawn from model fitting analyses are commonly based on a single “best fitting” model. If model selection and inference are carried out using the same data model selection, uncertainty is ignored. We illustrate the Type I error inflation that can result from using the same data for model selection and inference, and we then propose a simple bootstrap-based approach to quantify model selection uncertainty in terms of model selection rates. A selection rate can be interpreted as an estimate of the replication probability of a fitted model. The benefits of bootstrapping model selection uncertainty are demonstrated in growth mixture analyses of data from the National Longitudinal Study of Youth, and a 2-group measurement invariance analysis of the Holzinger–Swineford data.     

Long-term physical and mental health consequences of childhood physical abuse: results from a large population-based sample of men and women

OBJECTIVE: Child maltreatment has been linked to negative adult health outcomes; however, much past research includes only clinical samples of women, focuses exclusively on sexual abuse and/or fails to control for family background and childhood characteristics, both potential confounders. Further research is needed to obtain accurate, generalizable estimates and to educate clinicians who are generally unaware of the link between childhood abuse and adult health. The purpose of this project is to examine how childhood physical abuse by parents impacts mid-life mental and physical health, and to explore the attenuating effect of family background and childhood adversities. METHODS: We analyzed population-based survey data from over 2,000 middle-aged men and women in the Wisconsin Longitudinal Study using self-reported measures of parental childhood physical abuse, mental health (depression, anxiety, anger), physical health (physical symptoms and medical diagnoses), family background, and childhood adversities. RESULTS: Parental physical abuse was reported by 11.4% of respondents (10.6% of males and 12.1% of females). In multivariate models controlling for age, sex, childhood adversities, and family background, we found that childhood physical abuse predicted a graded increase in depression, anxiety, anger, physical symptoms, and medical diagnoses. Childhood physical abuse also predicted severe ill health and an array of specific medical diagnoses and physical symptoms. Family background and childhood adversities attenuated but did not eliminate the childhood abuse/adult health relationship. CONCLUSIONS: In a population-based cohort of middle-aged men and women, childhood physical abuse predicted worse mental and physical health decades after the abuse. These effects were attenuated, but not eliminated, by age, sex, family background, and childhood adversities.     

Attachment,Communication, and Relationship Functioning Among College Student Veterans and Nonveterans

This study examined attachment processes of college student veterans and nonveterans and further examined how veteran status and attachment style directly and indirectly predict relationship functioning. Results indicated that student veterans were more often dismissing in their attachment style but less often preoccupied than nonveteran students. Veteran status moderated the association between attachment style and dyadic consensus. The contributions of attachment and communication processes to overall relationship adjustment differed for student veterans and nonveterans.     

DNA microarray wet lab simulation brings genomics into the high school curriculum

We have developed a wet lab DNA microarray simulation as part of a complete DNA microarray module for high school students. The wet lab simulation has been field tested with high school students in Illinois and Maryland as well as in workshops with high school teachers from across the nation. Instead of using DNA, our simulation is based on pH indicators, which offer many ideal teaching characteristics. The simulation requires no specialized equipment, is very inexpensive, is very reliable, and takes very little preparation time. Student and teacher assessment data indicate the simulation is popular with both groups, and students show significant learning gains. We include many resources with this publication, including all prelab introductory materials (e.g., a paper microarray activity), the student handouts, teachers notes, and pre- and postassessment tools. We did not test the simulation on other student populations, but based on teacher feedback, the simulation also may fit well in community college and in introductory and nonmajors' college biology curricula.