Meeting Current and Future Challenges: Expanding Ag Sciences Technician Training

哈特内尔学院的NSF高级技术教育（ATE）计划将通过实施食品安全技术员计划和种子科学技术员计划来推进和扩大农业科学技术员培训。 该项目将在第三年招收35名学生参加每个新项目;实现80%的坚持率;并通过参与项目活动每年吸引至少125名高中生。它将通过以下方式实施：调整，明确和新的课程;中学课程增强;新教师;密集的推广;动手讲习班;广泛的行业伙伴关系;学术咨询;队列/学习社区;教师导师;行业实习;学术和学生支持服务;行业网络;专业发展;该项目将通过以下方式满足世界上生产力最高的农业地区之一当前和未来的关键需求：在现有项目和基础设施的基础上，开发两个高技能、高需求的农业科学技术人员项目，以满足当前的行业短缺;使用修改后的2+2结构将该项目与高中联系起来，并提供大学转学选择;帮助行业更好地应对不断变化的环境和监管条件;建立成功的ATE模型，用于高技能科学，技术，工程和数学（STEM）技术人员培训计划;帮助国家提高食品生产和食品安全能力;为低收入、代表性不足的人群提供STEM职业。该项目将有助于知识和有效方法的理解，以提高低收入和代表性不足的学生在干成绩。 项目评估研究将使用数据分析，得出有关项目有效性的定性和定量数据，并对项目有效性进行评估。这将支持适应和复制。

Hartnell College's NSF Advanced Technological Education (ATE) program will advance and expand agricultural sciences technician training by implementing a food safety technician program and seed science technician program. The project will enroll 35 students in each new program by year three; achieve an 80 percent persistence rate; and engage at least 125 high school students per year through participation in program activities. It will be implemented through: aligned, articulated and new curricula; secondary school program enhancement; new faculty; intense outreach; hands-on workshops; extensive industry partnerships; academic counseling; cohorts/learning communities; faculty mentors; industry internships; academic and student support services; industry networking; professional development; and evaluation.The project will address critical current and future needs in one of the world's most productive agricultural regions by: building on current programs and infrastructure to develop two high skill, high demand agricultural science technician programs that will meet current industry shortages; linking the project to high schools using a modified 2+2 structure, with a university transfer option; helping industry better respond to changing environmental and regulatory conditions; building on successful ATE models for high skill science, technology, engineering, and mathematics (STEM) technician training programs; helping the nation improve its food production and food safety capabilities; and providing access to STEM careers for a largely low income, underrepresented population. The project will contribute to the knowledge and understanding of effective methods to improve low income and underrepresented student achievement in STEM. The project evaluation study will use data analytics resulting in qualitative and quantitative data on, and assessment of, program effectiveness. This will support adaptation and replication.