NRT-IGE: Mixed Reality Integrated Teaching Training for STEM Graduate Teaching Assistants

NRT-IGE：STEM研究生助教混合现实综合教学培训

• 批准号: 1632965
• 负责人: Fengfeng Ke
• 金额: $ 50万
• 依托单位: Florida State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-15 至 2020-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1632965&HistoricalAwards=false
• 关键词: NRT; IGE; Mixed; Reality; Integrated

The training of current and future college and university instructors is critical to any adoption of teaching or curriculum reforms. Yet graduate students who are both trained for and pushed toward academic jobs remain unprepared for a key responsibility of these jobs: teaching. This National Science Foundation Research Traineeship (NRT) award in the Innovations in Graduate Education (IGE) Track to Florida State University will study the design model and effects of a mixed reality integrated training program to provide teaching practice to STEM graduate teaching assistants (GTAs). Integrating 3D virtual reality and body sensory technology, this training program for STEM GTAs will extend the research and development of current STEM GTA training by enabling STEM GTAs to practice, observe, and reflect on teaching in a variety of instructional settings, and it will provide them with a deep understanding of teaching strategies through active experimentation and problem solving. The resulting STEM GTA teaching training model is anticipated to improve teaching in introductory STEM courses, to improve the persistence of underrepresented groups in STEM disciplines by broadening the teaching practices used in introductory STEM courses, and to address specific challenges and needs associated with the variety of STEM graduate students. The project will employ an iterative evaluation process to improve the model over the course of the award, and the results will inform understanding of the effectiveness of technology-integrated professional development for student instructors. The project team will design and develop a mixed-reality integrated teaching training program for STEM GTAs comprised of three components: (1) Environment, a 3D mixed-reality platform, called MILE (Mixed reality Integrated Learning Environment), that enables the simulation and immersive practice of teaching in a variety of contexts; (2) Activity, a semi-structured, MILE-based training program that integrates formal group training sessions with informal self-regulated teaching rehearsal; and (3) Simulated scenarios for skills development, a collection of problem-based teaching scenarios for STEM GTAs to experience in MILE, which will contextualize targeted STEM teaching skills. Adopting a design-based research approach, this project will encompass iterative design processes to refine the mixed-reality integrated teaching training program, and examine its impact on the development of teaching self-efficacy and competence in an interdisciplinary group of STEM GTAs. Data will be collected via both qualitative and quantitative methods to build up a body of evidence on the design generalizations and effectiveness of the mixed-reality integrated teaching training program for STEM GTAs. The project team includes faculty from diverse disciplines including educational psychology and learning systems, computer science, chemistry, and physics.The NSF Research Traineeship (NRT) Program is designed to encourage the development and implementation of bold, new, potentially transformative models for STEM graduate education training. The Innovations in Graduate Education Track is dedicated solely to piloting, testing, and evaluating novel, innovative, and potentially transformative approaches to graduate education.This work is supported, in part, by the Division of Undergraduate Education.

对当前和未来的大学教师的培训对于任何采用教学或课程改革至关重要。然而，既接受培训又受到学术工作的培训的研究生仍未为这些工作的关键责任做好准备：教学。这项国家科学基金会研究培训（NRT）授予佛罗里达州立大学的研究生教育创新（IGE）轨道奖，将研究混合现实综合培训计划的设计模型和效果，以为STEM研究生助教（GTAS）提供教学实践。通过使STEM GTA训练的研究和开发整合了3D虚拟现实和身体感觉技术，通过使STEM GTA能够在各种教学环境中练习，观察和反思教学，从而扩展了当前STEM GTA培训的研究和开发，它将通过积极的实验和解决问题来为他们提供对教学策略的深入了解。预计由此产生的STEM GTA教学培训模型将改善入门STEM课程中的教学，从而通过扩大入门STEM课程中使用的教学实践来提高STEM学科中代表性不足的群体的持久性，并应对与STEM学生种类繁多的具体挑战和需求。该项目将采用迭代评估过程来改善奖励的模型，结果将为我们对学生讲师的专业发展的有效性提供理解。该项目团队将针对由三个组成部分组成的STEM GTA设计和开发一个混合现实的综合教学培训计划：（1）环境，一个3D混合真实平台，称为Mile（混合现实综合学习环境），可实现在各种情况下进行教学的模拟和沉浸式实践； （2）Active是一个半结构化的，基于英里的培训计划，将正式的小组培训课程与非正式的自我调节教学排练相结合； （3）模拟技能开发的方案，这是一系列基于问题的教学场景，供STEM GTA在英里经历的STEM GTA，这将使目标的STEM教学技能背景下来。该项目采用基于设计的研究方法，涵盖迭代设计过程，以完善混合现实的综合教学培训计划，并研究其对跨学科STEM GTA的教学自我效能和能力发展的影响。数据将通过定性和定量方法收集，以建立有关STEM GTA混合真实综合教学培训计划的设计概括和有效性的大量证据。该项目团队包括来自不同学科的教师，包括教育心理学和学习系统，计算机科学，化学和物理学。NSF研究培训（NRT）计划旨在鼓励开发和实施用于STEM研究生教育培训的大胆，新的，潜在的，潜在的变革性的变革性模型。研究生教育轨道的创新仅致力于试用，测试和评估新颖，创新和潜在的研究生教育方法。这项工作在某种程度上受到本科教育的一部分支持。

项目成果

Exploring Learner Behavioral Patterns in Virtual-Reality-Based Role-playing for Teaching Training

探索基于虚拟现实的角色扮演教学培训中的学习者行为模式

• 发表时间: 2020
• 期刊: 14th International Conference of the Learning Sciences (ICLS
• 作者: Dai, Zhaihuan;Ke, Fengfeng;Dai, Chih-Pu
• 通讯作者: Dai, Chih-Pu

Advocating Facilitators’ Interdisciplinary Learning With Computer Science Teaching Assistants in a Virtual Reality Environment

倡导促进者——在虚拟现实环境中与计算机科学助教进行跨学科学习

• 发表时间: 2020
• 期刊: 14th International Conference of the Learning Sciences (ICLS
• 作者: Dai, Chih-Pu;Ke, Fengfeng;Dai, Zhaihuan;West, Luke
• 通讯作者: West, Luke

Virtual reality simulation‐based learning of teaching with alternative perspectives taking

基于虚拟现实模拟的替代视角教学学习

• DOI: 10.1111/bjet.12936
• 发表时间: 2020
• 期刊: British Journal of Educational Technology
• 影响因子: 6.6
• 作者: Ke, Fengfeng;Xu, Xinhao
• 通讯作者: Xu, Xinhao

Automatic generation of interactive NPC scripts for a mixed-reality integrated learning environment

自动生成混合现实集成学习环境的交互式 NPC 脚本

• 发表时间: 2018
• 期刊: 2018 10th International Conference on Education Technology and Computers (ICETC 2018
• 作者: Yuan, A.;Ke, F.;Naglieri, R.;Dai, Z.;Pachman, M.
• 通讯作者: Pachman, M.

Investigating educational affordances of virtual reality for simulation-based teaching training with graduate teaching assistants

调查虚拟现实对研究生助教进行基于模拟的教学培训的教育意义

• DOI: 10.1007/s12528-020-09249-9
• 发表时间: 2020
• 期刊: Journal of Computing in Higher Education
• 影响因子: 5.6
• 作者: Ke, Fengfeng;Pachman, Mariya;Dai, Zhaihuan
• 通讯作者: Dai, Zhaihuan