Evaluating major curriculum changes: Ensuring a psychologically safe learning environment is achieved for graduate students.

IF 4.7 2区 教育学 Q1 EDUCATION, SCIENTIFIC DISCIPLINES
Gail Elliott, Grace Pinhal-Enfield
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引用次数: 0

Abstract

A graduate-level master's gross anatomy course was recently rewritten to enhance delivery of its content in a manner that supports student learning. End-of-course evaluations from all 88 students showed highly favorable ratings for the curricular change, but a more detailed analysis is critical to determine whether a safe learning environment had been established. A safe learning environment is established where the curriculum is appropriately challenging, faculty are supportive, and students feel they belong. A measure of the success of a new course is typically the overall performance of the cohort, in addition to the student evaluations. One limitation of this is the use of Likert scores in student evaluations, which are universally devoid of nuanced information. In most instances, students are offered an opportunity to provide written feedback, and beyond a superficial read-through of these comments, they are not typically analyzed for more information or with purpose. An AI-based text analysis tool was used to undertake the underutilized technique of scoring the comments (sentiment data) to further investigate; the data were incorporated in this instance and highlighted several important categories that students deemed necessary to comment on, including: faculty availability, humor and knowledge, effective group dynamics, and a sense of belonging, among others. Based on the assessments of categories in the student-written feedback, a safe learning environment was achieved.

评估主要课程变化:确保研究生获得心理安全的学习环境。
最近重写了研究生水平的硕士大体解剖学课程,以加强其内容的传递,以支持学生的学习。所有88名学生的期末评估都显示出对课程变化的高度好评,但要确定是否建立了一个安全的学习环境,更详细的分析至关重要。建立一个安全的学习环境,其中课程具有适当的挑战性,教师的支持,学生觉得他们属于。衡量一门新课程成功与否的标准,除了学生的评价外,通常还要看学员的整体表现。这种方法的一个限制是在学生评估中使用李克特分数,这种分数普遍缺乏细微的信息。在大多数情况下,学生有机会提供书面反馈,除了对这些评论进行肤浅的通读之外,通常不会对其进行更多信息或目的分析。使用基于人工智能的文本分析工具承担未充分利用的评论评分技术(情感数据)以进一步研究;这些数据被纳入到这个例子中,并突出了学生认为有必要评论的几个重要类别,包括:教师的可用性、幽默和知识、有效的团队动力、归属感等等。根据学生书面反馈中的类别评估,实现了安全的学习环境。
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来源期刊
Anatomical Sciences Education
Anatomical Sciences Education Anatomy/education-
CiteScore
10.30
自引率
39.70%
发文量
91
期刊介绍: Anatomical Sciences Education, affiliated with the American Association for Anatomy, serves as an international platform for sharing ideas, innovations, and research related to education in anatomical sciences. Covering gross anatomy, embryology, histology, and neurosciences, the journal addresses education at various levels, including undergraduate, graduate, post-graduate, allied health, medical (both allopathic and osteopathic), and dental. It fosters collaboration and discussion in the field of anatomical sciences education.
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