Bridging Formal and Informal Learning Environments

Out-of-school time programs that provide science, technology, engineering, and mathematics (STEM) educational content are promising approaches to develop skills and abilities in students. These programs may potentially inspire students with engaging hands-on, minds-on activities that encourages their natural curiosity around STEM content areas. However, it is also important to align out-of-school time learning activities with what is being taught in the formal classroom so that the experiences are congruent. Two examples of congruent programs are described in this article

The Youth Writers: Developing Curriculum for Their Peers

Curricula designed for youth are often lacking a young person\u27s influence and perspective. In order to provide engaging, fresh materials for youth, 4-H professionals can recruit youth as curriculum writers. Youth are given an opportunity to form positive partnerships with adults, produce engaging and creative materials for their peers, and develop leadership skills. Positive youth development is promoted through youth-adult partnerships, involvement in decision making, and contributing to projects. A model for implementing a youth writers program is described in this article

Fitbit and Fitabase Technology: Tracking and Evaluating Youth Physical Activity

With the health of today\u27s youth a national priority, professionals need tools for accurately assessing activity patterns and motivating behavior change. Fitness technology may be a promising tool for promoting positive behavior change. The afterschool program WeCook: Fun with Food and Fitness focused on improving food preparation skills, nutrition knowledge, and physical activity levels of youths. As part of the program assessment, each participant wore a Fitbit near the beginning and end of the program. Fitabase, an online research platform, was used for aggregating and analyzing data. We discuss a model for incorporating these technologies

From Australia to Nebraska: Researching Social Value

Globally, there is a growing body of research on social capital through the lens of social value, or how the social connections translate into actions with tangible outcomes impacting livelihoods and well-being. In the United States, social value is a relatively new perspective that will add to the social capital discussion

Development of the iCook 4-H Curriculum for Youth and Adults: Cooking, Eating, and Playing Together for Childhood Obesity Prevention

The objective was to describe the development process of a curriculum (iCook 4-H) targeted to low-income, rural, and/or diverse youths and their adult primary meal preparer to promote cooking, eating, and playing together. Lessons learned highlighted the importance of grounding the curriculum in Social Cognitive Theory and applying the experiential 4-H learning model using a multiphased, community-based participatory approach with cyclical development and evaluation, and key modifications made for dissemination and distribution. Findings across 4 testing phases over 6 years and 5 states demonstrated the time-intensive, cyclical process that required flexibility with fidelity to form a hands-on, interactive curriculum

Environmental effects on water intake and water intake prediction in growing beef cattle

Water is an essential nutrient, but there are few recent studies that evaluate how much water individual beef cattle consume and how environmental factors affect an individual’s water intake (WI). Most studies have focused on WI of whole pens rather than WI of individual animals. Thus, the objective of this study was to evaluate the impact of environmental parameters on individual-animal WI across different seasons and develop prediction equations to estimate WI, including within different environments and management protocols. Individual daily feed intake and WI records were collected on 579 crossbred steers for a 70-d period following a 21-d acclimation period for feed and water bunk training. Steers were fed in 5 separate groups over a 3-yr period from May 2014 to March 2017. Individual weights were collected every 14 d and weather data were retrieved from the Oklahoma Mesonet’s Stillwater station. Differences in WI as a percent of body weight (WI%) were analyzed accounting for average temperature (TAVG), relative humidity (HAVG), solar radiation (SRAD), and wind speed (WSPD). Seasonal (summer vs. winter) and management differences (ad libitum vs. slick bunk) were examined. Regression analysis was utilized to generate 5 WI prediction equations (overall, summer, winter, slick, and ad libitum). There were significant (P \u3c 0.05) differences in WI between all groups when no environmental parameters were included in the model. Although performance was more similar after accounting for all differences in weather variables, significant (P \u3c 0.05) seasonal and feed management differences were still observed for WI%, but were less than 0.75% of steer body weight. The best linear predictors of daily WI (DWI) were dry mater intake (DMI), metabolic body weights (MWTS), TAVG, SRAD, HAVG, and WSPD. Slight differences in the coefficient of determinations for the various models were observed for the summer (0.34), winter (0.39), ad libitum (0.385), slick bunk (0.41), and overall models (0.40). Based on the moderate R2 values for the WI prediction equations, individual DWI can be predicted with reasonable accuracy based on the environmental conditions that are present, MWTS, and DMI consumed, but substantial variation exists in individual animal WI that is not accounted for by these models

Food-related Behavior and Intake of Adult Main Meal Preparers of 9-10 Year-old Children Participating in iCook 4-H: A Five-State Childhood Obesity Prevention Pilot Study

It is important to understand adult outcomes in childhood obesity prevention programs as parents and caregivers have a significant influence on the eating and physical activity habits of youth. Grounded in the social cognitive theory, the iCook 4-H study was centered on a dyad model (9-10 year-olds and their primary meal preparers) to teach healthy cooking skills, shopping and meal habits, and being active as a family. The program took place in five states and dyads (n = 54) were recruited through flyers, e-mails, and in-person contact. The focus of this article is to provide findings from adult program participants. Demographics and self-reported food intake, procurement, preparation and safety practices, feeding relationships, mealtime routines, and height and weight were collected through surveys at baseline and program completion, which spanned 3 months. Descriptive statistics including two-related samples tests and paired samples t tests were used to assess pre- and post-program survey data responses at p \u3c 0.05 significance level. Most had a bachelor\u27s degree (31%) or some college (29%), about half were white, 66% were married, about 30% of households participated in assistance programs, and 82% were female. At program conclusion, participants significantly improved meal planning, prioritizing healthy meal choices, shopping with a grocery list, and reading Nutrition Facts Labels. There were also significant, positive differences noted in cooking skill confidence (p = 0.015), desire to cook more meals at home, and fewer fast food meals. Adult-youth feeding interactions also significantly improved. There were also significant increases in fruit juice (100%), vegetable soup, and whole grain consumption. Based on results, adults reported improvements in meal planning, cooking, and purchasing skills that were taught in classes

Test duration for water intake, ADG, and DMI in beef cattle

Water is an essential nutrient, but the effect it has on performance generally receives little attention. There are few systems and guidelines for collection of water intake (WI) phenotypes in beef cattle, which makes large-scale research on WI a challenge. The Beef Improvement Federation has established guidelines for feed intake (FI) and ADG tests, but no guidelines exist for WI. The goal of this study was to determine the test duration necessary for collection of accurate WI phenotypes. To facilitate this goal, individual daily WI and FI records were collected on 578 crossbred steers for a total of 70 d using an Insentec system at the Oklahoma State University Willard Sparks Beef Research Unit. Steers were fed in five groups and were individually weighed every 14 d. Within each group, steers were blocked by BW (low and high) and randomly assigned to one of four pens containing approximately 30 steers per pen. Each pen provided 103.0 m2 of shade and included an Insentec system containing six feed bunks and one water bunk. Steers were fed a constant diet across groups and DMI was calculated using the average of weekly percent DM within group. Average FI and WI for each animal were computed for increasingly large test durations (7, 14, 21, 28, 35, 42, 49, 56, 63, and 70 d), and ADG was calculated using a regression formed from BW taken every 14 d (0, 14, 28, 42, 56, and 70 d). Intervals for all traits were computed starting from both the beginning (day 0) and the end of the testing period (day 70). Pearson and Spearman correlations were computed for phenotypes from each shortened test period and for the full 70-d test. Minimum test duration was determined when the Pearson correlations were greater than 0.95 for each trait. Our results indicated that minimum test duration for WI, DMI, and ADG were 35, 42, and 70 d, respectively. No comparable studies exist for WI; however, our results for FI and ADG are consistent with those in the literature. Although further testing in other populations of cattle and areas of the country should take place, our results suggest that WI phenotypes can be collected concurrently with DMI, without extending test duration, even if following procedures for decoupled intake and gain tests

Environmental effects on water intake and water intake prediction in growing beef cattle

Water is an essential nutrient, but there are few recent studies that evaluate how much water individual beef cattle consume and how environmental factors affect an individual’s water intake (WI). Most studies have focused on WI of whole pens rather than WI of individual animals. Thus, the objective of this study was to evaluate the impact of environmental parameters on individual-animal WI across different seasons and develop prediction equations to estimate WI, including within different environments and management protocols. Individual daily feed intake and WI records were collected on 579 crossbred steers for a 70-d period following a 21-d acclimation period for feed and water bunk training. Steers were fed in 5 separate groups over a 3-yr period from May 2014 to March 2017. Individual weights were collected every 14 d and weather data were retrieved from the Oklahoma Mesonet’s Stillwater station. Differences in WI as a percent of body weight (WI%) were analyzed accounting for average temperature (TAVG), relative humidity (HAVG), solar radiation (SRAD), and wind speed (WSPD). Seasonal (summer vs. winter) and management differences (ad libitum vs. slick bunk) were examined. Regression analysis was utilized to generate 5 WI prediction equations (overall, summer, winter, slick, and ad libitum). There were significant (P \u3c 0.05) differences in WI between all groups when no environmental parameters were included in the model. Although performance was more similar after accounting for all differences in weather variables, significant (P \u3c 0.05) seasonal and feed management differences were still observed for WI%, but were less than 0.75% of steer body weight. The best linear predictors of daily WI (DWI) were dry mater intake (DMI), metabolic body weights (MWTS), TAVG, SRAD, HAVG, and WSPD. Slight differences in the coefficient of determinations for the various models were observed for the summer (0.34), winter (0.39), ad libitum (0.385), slick bunk (0.41), and overall models (0.40). Based on the moderate R2 values for the WI prediction equations, individual DWI can be predicted with reasonable accuracy based on the environmental conditions that are present, MWTS, and DMI consumed, but substantial variation exists in individual animal WI that is not accounted for by these models