基础SW⋅AI教育中核心能力评估工具的开发

Eunjee Jang, Kyung-Sun Oh
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摘要

由于目前的趋势,数字化创新的SW⋅AI能力水平已成为一种必需品,而不是一种选择,SW-AI能力也已发展成为一种目的,不仅是培训专业人才,而且还提供普遍的SW⋅AI基础教育。但是,为了提高普及SW⋅AI基础教育的有效性,我们建议系统地分阶段开展SW⋅AI基础教育。一所大学为所有学生提供各种与SW⋅AI相关的选修课程。学校扩大了学生在完成必修课后参与SW⋅AI基础教育的机会。然而,扩大SW⋅AI基础教育的机会并不会自动增强他们的技能。因此,教育工作者的目标是通过开发SW⋅AI选修课程的核心能力评估工具,并将这些技能应用于算法课程,来增强学习者解决问题的能力。在SW⋅AI基础教育中开发了一种绩效评估工具,以增强学生高阶思维和信息技术利用的核心能力。该工具的开发经历了明确课堂目标、制定核心挑战、制定评估标准、开发和应用评估工具、分析评估结果等几个阶段。该工具被应用于解决问题的算法课程中,帮助学习者理解在执行挑战时应该关注什么。事实上,一项由学习者在学期开始和结束时进行的自我评估调查显示,解决核心挑战的必要能力有所提高。另一方面,非SW⋅AI基础教育专业的学生表示,为了解决问题而编程,在团队项目中负责编程对他们来说是一种负担。在本研究中,我们发现如果学习者的终极能力被具体地体现为行为指标,并以此为标准设定挑战,学习者就能更专注于实践能力的提升。但是,对于SW⋅AI基础教育科目,我们确认有必要明确核心挑战和评估核心能力的评估标准。未来,我们将把各种核心能力绩效评估工具应用到SW⋅AI的各个基础教育科目中,找出需要改进的地方。通过这一过程,我们将不断提高SW⋅AI基础教育的有效性,从而系统提升能力。
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Development of Core Competency Assessment Tools in Basic SW⋅AI Education
As a result of current trends, a level of SW⋅AI competency for digital innovation has become a necessity, not a choice, SW-AI competency has also developed as a purpose not only for training specialist personnel, but also for providing universal SW⋅AI basic education. However, to increase the effectiveness of universal SW⋅AI basic education, it is advisable that we systematically educate SW⋅AI basic education in stages.A university offers various elective courses related to SW⋅AI for all students. Schools have expanded the opportunities for students to participate in SW⋅AI basic education after they have completed the required elective courses. However, expanding the opportunities for SW⋅AI basic education does not automatically strengthen their skills. Therefore, educators are aiming to strengthen the learners’ problem-solving skills by developing evaluation tools for core competencies in SW⋅AI elective courses and by applying these skills in algorithm courses.A performance assessment tool was developed in SW⋅AI basic education to enhance the core competencies of higher-order thinking and for the utilization of information and technology. The tool was developed through the following stages: clarifying class goals, developing core challenges, developing evaluation criteria, developing and applying assessment tools, and analyzing the evaluation results. The tool was applied in an algorithm course for problem solving and helped learners understand what to focus on when performing challenges. It also provided them with guidance for learning to enhance their various competencies through feedback. Indeed, a survey of self-assessment by learners at the beginning and end of the semester showed that the necessary competencies for solving core challenges had improved. On the other hand, students who were not majoring in SW⋅AI basic education stated that having to program in order to solve problems and being responsible for programming in team projects was a burden for them.In this study, we found that if the learner’s ultimate competencies are concretely embodied as behavioral indicators and challenges are set based on this criterion, the learner can concentrate more on practical competency enhancement. However, in regards to the SW⋅AI basic education subject, we confirmed that there is a need for us to clarify the core challenges and evaluation criteria for evaluating core competencies. In the future, we will apply various core competency performance evaluation tools to various SW⋅AI basic education subjects to identify areas for improvement. Through this process, we will continuously improve the effectiveness of SW⋅AI basic education and systematically enhance competencies thereby.
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