Aligning Learning Outcomes and Workforce Competencies for Terminal Geography and Geology Master?s Degree Programs
调整最终地理学和地质学硕士学位课程的学习成果和劳动力能力
基本信息
- 批准号:1202707
- 负责人:
- 金额:$ 10.98万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2012
- 资助国家:美国
- 起止时间:2012-09-01 至 2015-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The American Geological Institute (AGI) and the Association of American Geographers (AAG) are conducting a survey of 50 different terminal Geography and Geology master's degree programs in an effort to determine the types of competencies taught and developed in graduate curricula (including internships and related professional training experiences). The results are being compared to the outcomes of recent workforce studies conducted by AGI, AAG, and other organizations that indicate the skills qualifications that geoscience employers seek for entry-level positions across the public and private sectors. Through this research, the project is developing resources and toolkits that can help academic programs better align curricula and advising practices with workforce demands.The surveys developed for this project build directly on prior work by AGI and AAG to create conceptually valid measures of professional competencies and studies of industry trends in the geosciences. In practical terms, the results can be used to assist Geography and Geology terminal master's programs by providing them with additional approaches to assess learning outcomes in relation to workforce demands. This is an important issue for all graduate programs, but especially for terminal master's programs for which little is known empirically about curricula, students' career paths, and advising and mentoring practices by faculty. As the graduate degree for most entry-level professional careers in geology and geography, a focus on master's education is needed as part of a broader engagement by AGI, AAG and their sister organizations to address future workforce needs in science, technology, engineering and mathematics (STEM) geoscience careers.This project is expected to improve the preparation of the STEM workforce in broad geoscience fields by providing information that can be used to guide students in their selection of academic courses and other educational experiences that will equip them with the competencies they need for entry-level positions. By establishing and enhancing dialogues and relationships between academic programs and employer organizations, the project may also communicate the value of academic and professional training in the geosciences for work in various public and private sector careers. Although this is conceived as a pilot project focusing on geography and geology programs, there is potential for future expansion to other sub-fields through partnership with other professional societies and academic programs in the geosciences.
美国地质学会(AGI)和美国地理学家协会(AAG)正在对50个不同的终端地理和地质硕士学位课程进行调查,以确定研究生课程(包括实习和相关专业培训经验)中教授和开发的能力类型。这些结果与AGI,AAG和其他组织最近进行的劳动力研究结果进行了比较,这些研究表明地球科学雇主在公共和私营部门寻求入门级职位的技能资格。通过这项研究,该项目正在开发资源和工具包,可以帮助学术课程更好地调整课程和建议实践与劳动力需求。该项目开发的调查直接建立在AGI和AAG之前的工作基础上,以创建概念上有效的专业能力衡量标准和地球科学行业趋势研究。在实践中,结果可以用来帮助地理和地质终端硕士课程,为他们提供额外的方法来评估学习成果的劳动力需求。这对于所有研究生课程来说都是一个重要问题,尤其是对于终末硕士课程来说,因为根据经验,对课程、学生的职业道路以及教师的建议和指导实践知之甚少。作为地质学和地理学大多数入门级专业职业的研究生学位,需要将硕士教育作为AGI,AAG及其姐妹组织更广泛参与的一部分,以满足未来科学,技术,工程与数学(STEM)该项目预计将通过提供以下信息来改善广泛的地球科学领域的STEM劳动力的准备,这些工具可用于指导学生选择学术课程和其他教育经验,使他们具备初级职位所需的能力。通过建立和加强学术课程和雇主组织之间的对话和关系,该项目还可以传达地球科学学术和专业培训对各种公共和私营部门职业工作的价值。虽然这被认为是一个试点项目,重点是地理和地质方案,有潜力的未来扩展到其他子领域,通过与其他专业协会和学术计划在地球科学的伙伴关系。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Heather Houlton其他文献
Heather Houlton的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Heather Houlton', 18)}}的其他基金
Collaborative Research: GEODES: Geoscience Diversity Experiential Simulations
合作研究:GEODES:地球科学多样性体验模拟
- 批准号:
1645314 - 财政年份:2017
- 资助金额:
$ 10.98万 - 项目类别:
Standard Grant
Increasing Participation of Underrepresented Minorities in the Geosciences by Supporting the Faculty Who Teach Them
通过支持教授他们的教师来增加代表性不足的少数群体对地球科学的参与
- 批准号:
1108210 - 财政年份:2011
- 资助金额:
$ 10.98万 - 项目类别:
Standard Grant
相似国自然基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
- 批准号:
- 批准年份:2024
- 资助金额:万元
- 项目类别:合作创新研究团队
Understanding structural evolution of galaxies with machine learning
- 批准号:n/a
- 批准年份:2022
- 资助金额:10.0 万元
- 项目类别:省市级项目
煤矿安全人机混合群智感知任务的约束动态多目标Q-learning进化分配
- 批准号:
- 批准年份:2022
- 资助金额:30 万元
- 项目类别:青年科学基金项目
基于领弹失效考量的智能弹药编队短时在线Q-learning协同控制机理
- 批准号:62003314
- 批准年份:2020
- 资助金额:24.0 万元
- 项目类别:青年科学基金项目
集成上下文张量分解的e-learning资源推荐方法研究
- 批准号:61902016
- 批准年份:2019
- 资助金额:24.0 万元
- 项目类别:青年科学基金项目
具有时序迁移能力的Spiking-Transfer learning (脉冲-迁移学习)方法研究
- 批准号:61806040
- 批准年份:2018
- 资助金额:20.0 万元
- 项目类别:青年科学基金项目
基于Deep-learning的三江源区冰川监测动态识别技术研究
- 批准号:51769027
- 批准年份:2017
- 资助金额:38.0 万元
- 项目类别:地区科学基金项目
具有时序处理能力的Spiking-Deep Learning(脉冲深度学习)方法研究
- 批准号:61573081
- 批准年份:2015
- 资助金额:64.0 万元
- 项目类别:面上项目
基于有向超图的大型个性化e-learning学习过程模型的自动生成与优化
- 批准号:61572533
- 批准年份:2015
- 资助金额:66.0 万元
- 项目类别:面上项目
E-Learning中学习者情感补偿方法的研究
- 批准号:61402392
- 批准年份:2014
- 资助金额:26.0 万元
- 项目类别:青年科学基金项目
相似海外基金
Understanding the Impact of Outdoor Science and Environmental Learning Experiences Through Community-Driven Outcomes
通过社区驱动的成果了解户外科学和环境学习体验的影响
- 批准号:
2314075 - 财政年份:2024
- 资助金额:
$ 10.98万 - 项目类别:
Continuing Grant
Integrating Self-Regulated Learning Into STEM Courses: Maximizing Learning Outcomes With The Success Through Self-Regulated Learning Framework
将自我调节学习融入 STEM 课程:通过自我调节学习框架取得成功,最大化学习成果
- 批准号:
2337176 - 财政年份:2024
- 资助金额:
$ 10.98万 - 项目类别:
Standard Grant
Development of Cognitive Symbiosis in Virtual Agents to Improve Remote Classroom Learning Outcomes
虚拟代理认知共生的发展以改善远程课堂学习成果
- 批准号:
23K21688 - 财政年份:2024
- 资助金额:
$ 10.98万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
Adopting Green Solvents through Predicting Reaction Outcomes with AI/Machine Learning
通过人工智能/机器学习预测反应结果采用绿色溶剂
- 批准号:
EP/X021033/1 - 财政年份:2024
- 资助金额:
$ 10.98万 - 项目类别:
Research Grant
Early-life predictors of primary school learning outcomes in children with complex special educational needs: A prospective longitudinal study of tube
具有复杂特殊教育需求的儿童小学学习成果的早期预测因素:管的前瞻性纵向研究
- 批准号:
2887024 - 财政年份:2023
- 资助金额:
$ 10.98万 - 项目类别:
Studentship
Leveraging Causal Inference and Machine Learning Methods to Advance Evidence-Based Maternal Care and Improve Newborn Health Outcomes
利用因果推理和机器学习方法推进循证孕产妇护理并改善新生儿健康结果
- 批准号:
10604856 - 财政年份:2023
- 资助金额:
$ 10.98万 - 项目类别:
Improving Learning Outcomes and Equity in Blended Online and Face-to-Face Learning
提高在线和面对面混合学习的学习成果和公平性
- 批准号:
2314930 - 财政年份:2023
- 资助金额:
$ 10.98万 - 项目类别:
Standard Grant
Predicting Outcomes for Uterine Fibroid Embolization by using Deep Learning of Paired MRI Scans
使用配对 MRI 扫描的深度学习预测子宫肌瘤栓塞的结果
- 批准号:
10724513 - 财政年份:2023
- 资助金额:
$ 10.98万 - 项目类别:
Deep learning on ECGs to improve outcomes in patients on dialysis
心电图深度学习可改善透析患者的预后
- 批准号:
10734856 - 财政年份:2023
- 资助金额:
$ 10.98万 - 项目类别:
The role of statistical learning in predicting child language outcomes.
统计学习在预测儿童语言结果中的作用。
- 批准号:
10810207 - 财政年份:2023
- 资助金额:
$ 10.98万 - 项目类别: