影响教师采用工程技术的因素:定性研究

IF 4.1 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Michelle Jarvie-Eggart , Shari L. Stockero , Alfred Owusu-Ansah
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引用次数: 0

摘要

随着技术的日新月异,工程学院的教师必须不断更新他们所使用的技术并教授给学生,以满足认证要求并跟上行业标准。然而,许多教师并没有这样做。此外,现有的技术采用模型并没有考虑到使用技术的意向和实际使用情况之间的所有差异。在技术接受与使用统一理论(UTAUT)的指导下,本研究考察了先前模型中的哪些构造适用于工程学院教师对特定行业技术的采用,以及影响教师在教学或研究中采用这些技术的其他因素。我们采访了美国中西部一所以 STEM 为重点的院校的 21 名工程学教师,了解他们采用工程技术的情况。我们使用演绎法和归纳法编码来确定定性数据中的主题。现有模型中的结构被证实会影响教师对工程技术的采用。我们还确定了教职员工采用新工程技术的具体促进条件(其他人、数字资源、非数字资源、时间和正式培训),并发现了另外两个主题--获取和个人特质,包括影响教职员工采用工程技术的几个组成特质(坚持不懈、谦逊、自我效能感、成长心态、模糊接受度和好奇心)。我们提出了一个专门针对教师采用新工程技术的新工程技术采用理论。这些发现有可能帮助大学确定如何有效地支持教师为学生提供相关的技术技能,以便他们进入工程领域工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Factors influencing faculty's adoption of engineering technology: A qualitative study

With technologies changing faster than ever before, engineering faculty must continuously update the technologies they use and teach to students to meet accreditation requirements and keep up with industry standards. Many do not, however. Additionally, existing models of technology adoption do not account for all variability within intention to use a technology, nor its actual use. Informed by the Unified Theory of Acceptance and Use of Technology (UTAUT), this study examined which constructs from prior models apply to engineering faculty's adoption of industry-specific technologies, as well as other factors influencing faculty adoption of these technologies for their teaching or research. We interviewed 21 engineering faculty at a Midwestern United States STEM-focused institution about their adoption of engineering technologies. Deductive and inductive coding were used to identify themes within the qualitative data. Constructs from existing models were confirmed to influence faculty engineering technology adoption. We also identified specific Facilitating Conditions (Other People, Digital Resources, Non-Digital Resources, Time, and Formal Training) that faculty leverage to adopt new engineering technologies, and uncovered two additional themes—Access and Personal Traits, including several component traits (Persistence, Humility, Self Efficacy, Growth Mindset, Ambiguity Acceptance, and Curiosity) that influence faculty engineering technology adoption. We propose a new Theory of Faculty Adoption of Engineering Technologies specific to faculty adoption of new engineering technologies. These findings have the potential to help universities determine how to effectively support faculty in providing their students with relevant technological skills for entry into the engineering workforce.

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