表題番号:2023C-707 日付:2024/04/05
研究課題学習目標を表現する構成概念の収集と分類
研究者所属(当時) 資格 氏名
(代表者) グローバルエデュケーションセンター 准教授 村松 慶一
研究成果概要
In higher education, matching learner expectations with course content is one of the most important aspects of facilitating meaningful skill development. However, the learning objectives stated in many courses describe behavioral objectives that are dependent on the domain of learning. In other words, conceptually the same learning objectives may appear different on the surface if they are expressed in terms related to different domain. The purpose of this study is to develop a more cohesive way of expressing educational objectives that overcomes domain-specific limitations. Therefore, in this study, we focused on the constructs that express learning objectives, and examined a method of organizing learning objectives at a higher level of abstraction by collecting and categorizing the objectives. In particular, the analysis was conducted on the objectives expected by the teachers. First, to clarify what kind of keywords are included in the constructs that express the learning objectives, we collected and organized the student's free writing. As a result, keywords related to students' viewpoints or perspectives were collected. A cluster analysis was conducted to group the keywords that had overlapping meanings. Next, a survey was conducted to ask teachers to associate the collected keywords with their courses. Latent class analysis was performed on the obtained data to classify the constructs used to express the learning objectives of each course. As a result, keywords related to the constructs were divided into several groups. These groups of keywords are considered useful in clearly expressing the learning objectives of each course. In other words, it is possible to express the difference among subjects by indicating to which group the subjects are related. However, it is necessary to verify whether the grouping of keywords is sufficiently valid.