Embracing partnerships – human and AI – in digital course on career readiness

Rachel Spronken-Smith, Yvonne Gaut, Russell Butson, Matt Fernandes, Patrick Mazzocco, Alba Suarez Garcia, Jodie Evans
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Abstract

Research on PhD graduates from universities in New Zealand and the United States has revealed a lack of career preparedness during doctoral study (Spronken-Smith, et al. 2023). The research found that PhD graduates had very limited knowledge of their skills sets and attributes, as well as a lack of awareness of career pathways beyond academia. This is a major concern as only 40-50% of PhD graduates typically can enter academia following graduation, with the remainder entering a range of careers, especially in the western world. Consequently, the first author set about generating a digital course on career readiness and career preparedness for doctoral candidates as well as postdoctoral fellows (those in either teaching or research roles). The development of the course is a team effort involving academic developers, careers advisers, a digital developer, graduate research candidates and artificial intelligence (AI). We hope to launch the course in 2024.   The course comprises elements of social constructivism and reflective practice and weaves in cultural aspects throughout. Two main platforms are used to deliver the self-paced online course: Microsoft Teams Classroom and an EdX platform. Central to the course is a koru diagram which maps out a pathway for career readiness, starting with self-discovery, followed by discovery of career options, then considering practical strategies for career readiness, and finally developing an action plan. The learners enter the course through the Microsoft Teams environment, where we encourage introductions and connections with classmates. Learners can then progress at their own pace through 12 main modules, with touchpoints occurring on a few occasions where they are asked to share ideas with the class. Reflective practice is embedded throughout, with learners keeping a journal and creating items for their digital portfolio – the assessment item for the course. In two places we have built in AI, using ChatGPT as a tutor to give feedback on learner’s articulation of their skills sets, and again towards the end of the course, where learners can input their skills, values and job preferences and ChatGPT suggests some possible career options.   Developing the course is a great example of the benefit of taking a partnership approach in course design and implementation. It was the research of Rachel Spronken-Smith, an academic developer, who inspired the course, but to make it happen she needed support. Most importantly, she needed the expert input from Yvonne Gaut, a careers adviser, and Russell Butson, an educational technology academic. Between them they were able to design the course and draw on appropriate technology. However, they also needed a digital developer (Matt Fernandes) who could infuse appropriate design elements throughout the course, as well as videographers to capture media clips (Alba Suarez Garcia and Jodie Evans). They also enlisted two graduate research candidates (Patrick Mazzocco and Jodie Evans, the former of whom was also a past careers adviser), to test the course design and provide feedback on each module – an essential aspect to ensure relevance and engagement. By the time of this Pecha Kucha presentation we hope the course is ready to launch!
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在职业准备数字化课程中拥抱伙伴关系--人类和人工智能
对新西兰和美国大学博士毕业生的研究表明,他们在攻读博士期间缺乏职业准备(Spronken-Smith 等,2023 年)。研究发现,博士毕业生对自身技能组合和特质的了解非常有限,对学术界以外的职业发展途径也缺乏认识。这是一个值得关注的重大问题,因为通常只有 40-50% 的博士毕业生能在毕业后进入学术界,其余的人则会从事各种职业,尤其是在西方国家。因此,第一作者着手为博士生和博士后研究员(从事教学或研究工作的人员)制作了一门关于职业准备和职业生涯准备的数字课程。该课程的开发是一项团队工作,涉及学术开发人员、职业顾问、数字开发人员、研究生候选人和人工智能(AI)。我们希望在 2024 年推出该课程。 该课程包含社会建构主义和反思性实践的元素,并将文化因素贯穿其中。自定进度的在线课程主要使用两个平台:微软团队课堂和 EdX 平台。课程的核心是一个 Koru 图,它描绘了职业准备的路径,首先是自我发现,然后是发现职业选择,接着是考虑职业准备的实用策略,最后是制定行动计划。学员通过 Microsoft Teams 环境进入课程,我们鼓励学员在该环境中进行自我介绍并与同学建立联系。然后,学员可以按照自己的进度学习 12 个主要模块,并在少数情况下要求学员与全班分享想法。反思性练习贯穿始终,学习者可以写日记,并为他们的数字作品集(课程的评估项目)创建项目。我们在两个地方内置了人工智能,使用 ChatGPT 作为辅导员,对学习者对其技能组合的阐述给予反馈,在课程结束时,学习者可以输入自己的技能、价值观和工作偏好,ChatGPT 会建议一些可能的职业选择。 该课程的开发是一个很好的例子,说明了在课程设计和实施过程中采取合作方式的好处。学术开发人员雷切尔-斯普朗肯-史密斯(Rachel Spronken-Smith)的研究激发了这门课程的灵感,但要实现这门课程,她需要得到支持。最重要的是,她需要职业顾问伊冯娜-高特(Yvonne Gaut)和教育技术专家罗素-布特森(Russell Butson)的专家意见。他们共同设计了课程,并利用了适当的技术。不过,他们还需要一名数字开发人员(马特-费尔南德斯)在整个课程中注入适当的设计元素,以及一名摄像师(阿尔巴-苏亚雷斯-加西亚和乔迪-埃文斯)来捕捉媒体片段。他们还邀请了两位研究生研究候选人(帕特里克-马佐科(Patrick Mazzocco)和乔迪-埃文斯(Jodie Evans),前者也是过去的职业顾问)来测试课程设计,并对每个模块提供反馈--这是确保课程相关性和参与度的一个重要方面。我们希望在本次 Pecha Kucha 演示之前,课程已经准备就绪,可以正式推出!
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