工学教育
Online ISSN : 1881-0764
Print ISSN : 1341-2167
ISSN-L : 1341-2167
最新号
選択された号の論文の29件中1~29を表示しています
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論文
事例紹介
  • 若林 遥大, 川戸 聡也
    2026 年74 巻3 号 p. 3_66-3_71
    発行日: 2026年
    公開日: 2026/05/20
    ジャーナル フリー
    Beginners in programming often struggle with abstract concepts, which can reduce motivation. Collaborative learning is an effective approach, but interpersonal anxiety can hinder participation. We introduced anonymity into collaborative learning for programming beginners to create an environment in which learners engage with the code or the task itself rather than with who they are working with, which reduced peer evaluation and social pressures. In an empirical study, questionnaire responses and analysis of conversation logs showed that anonymity reduced the influence of interpersonal relationships. Notably, learners who previously had difficulty explaining their ideas increased the number of words they typed in, which resulted in more active collaboration. These results demonstrate the effectiveness of introducing anonymity.
  • 中城 智之
    2026 年74 巻3 号 p. 3_72-3_77
    発行日: 2026年
    公開日: 2026/05/20
    ジャーナル フリー
    This paper presents a case study of an FM broadcast signal reception experiment using unterminated coaxial cables as receiving antennas, conducted as an introductory experiential learning activity in an undergraduate communications course. The experiment aimed to foster student interest in radio waves and antennas and to promote intuitive understanding using familiar materials. Students investigated changes in received signal strength by varying the cable length. Basic concepts such as quarter-wavelength resonance and wavelength shortening were introduced beforehand, while environmental influences were intentionally not explained in detail. Analysis of student reports revealed diverse reflections, particularly in the application of theory and interpretation of environmental factors. This case suggests that hands-on experiments with limited prior explanation can encourage diverse observations and reflective thinking among beginner-level engineering students.
  • 小畑 拓未
    2026 年74 巻3 号 p. 3_78-3_83
    発行日: 2026年
    公開日: 2026/05/20
    ジャーナル フリー
    This report examines the educational design and educational effects of an architectural study tour conducted in Singapore in 2025. The program followed a sequential learning process that included the acquisition of preliminary knowledge through pre-departure assignments, on-site experiences of diverse architectural and urban spaces, and reflective post-tour reports. Through this process, students deepened their understanding of environmental engineering perspectives and environmental adaptation at the urban scale, while also demonstrating an intention to apply the insights gained to future lifestyle design in Japan. These findings indicate the effectiveness of experiential learning in architectural education and reaffirm the significance of learning from cities in tropical regions, particularly in an era of accelerating global warming.
  • 小畑 拓未
    2026 年74 巻3 号 p. 3_84-3_89
    発行日: 2026年
    公開日: 2026/05/20
    ジャーナル フリー
    This paper presents the development of an educational program for an architectural design studio that incorporates the perspective of well-being, and describes its structure and implementation. Student design outcomes and assessment results using CASBEE-Wellness Office were further analyzed to identify the educational effects and challenges. The findings show that students were able to propose design solutions that addressed not only spatial configurations but also operational strategies to enhance well-being. In addition, the process of self-evaluation and iterative improvement using the assessment tool contributed to deepening their design thinking and increasing their understanding and awareness of well-being. Furthermore, the study demonstrates that CASBEE can function not only as an evaluation tool but also as a feedback mechanism for educational improvement.
  • 長嶺 拓夫, 本間 俊司, 佐藤 豊
    2026 年74 巻3 号 p. 3_90-3_94
    発行日: 2026年
    公開日: 2026/05/20
    ジャーナル フリー
    In 2025, Saitama University launched an entrepreneurship program for all undergraduates to cultivate a “Broad Sense of Entrepreneurship,” going beyond startups to define an essential capacity for everyone to translate ideas into actionable values for others. This paper evaluates the compulsory introductory course. Practitioner-led instruction significantly improved understanding and doubled student interest. Notably, the course shifted mindsets to view entrepreneurship as a “learnable skill,” broadening career perspectives beyond startups.
  • 玉井 香里, 松尾 俊宏
    2026 年74 巻3 号 p. 3_95-3_100
    発行日: 2026年
    公開日: 2026/05/20
    ジャーナル フリー
    This study explores a remote learning case in high school “Informatics” using metaverse technology. Through a university-high school collaboration, students created virtual worlds using Unity and cluster. Implementation revealed technical challenges, including Unity’ s instability on low-spec devices, time constraints of the platform’ s event system, and limited non-verbal feedback. However, qualitative assessments showed high student motivation and proactive problem-solving attitudes. These findings emphasize that while the metaverse effectively engages students, ensuring stable hardware and multi-layered communication channels are essential for successful integration. Future research should investigate effective methods for assessing student progress within these immersive environments to optimize learning outcomes.
  • 吉田 実礼, 菅原 英子, 渡部 秀崇, 伊藤 桂一, 廣田 千明
    2026 年74 巻3 号 p. 3_101-3_104
    発行日: 2026年
    公開日: 2026/05/20
    ジャーナル フリー
    The objective of this project is to develop programming learning materials for elementary and junior high school students using microcontrollers and sensors. By incorporating IoT devices and autonomous driving technology, the developed educational materials aim to make programming more accessible and to improve basic programming skills, creativity, and critical thinking. To demonstrate the usefulness of the educational materials, we used them in the open lecture for elementary school students. In this study, we report the results of the questionnaire survey and discuss their usefulness.
論文
  • Yurie WADA, Norihiro NAKAMURA, Tomonori NOCHI
    2026 年74 巻3 号 p. 3_105-3_116
    発行日: 2026年
    公開日: 2026/05/20
    ジャーナル フリー
    In the Future Principal Investigator Program, a questionnaire consisting of 122 questions on the concept of laboratory management required for a principal investigator was employed. Using 116 individual multivariate numerical data sets collected from 38 participants, principal component analysis was conducted to perform human resource profiling and identify participant characteristics. The first two principal components (PC1 and PC2) were interpreted as reflecting research career experience and international or educational characteristics, respectively. Based on the identified characteristics, participants were classified into at least three groups. These results indicate that this analysis can be a useful tool for participants in facilitating deeper discussions based on their characteristics as well as for program organizers in designing effective learning environments.
  • Jun MADA, Nobukatsu YOSHIDA, Jun TOYOTANI
    2026 年74 巻3 号 p. 3_117-3_129
    発行日: 2026年
    公開日: 2026/05/20
    ジャーナル フリー
    The rapid development of generative AI has recently brought innovation to educational settings, opening new possibilities for supporting learning processes. The Ministry of Education, Culture, Sports, Science and Technology recognizes the convenience of generative AI and its potential to enhance productivity, while also addressing challenges such as misuse and its impact on creativity. This study aims to improve the quality of graduation research guidance by proposing an educational application model for generative AI, including Python programming assistance. A key feature of this approach is its emphasis on promoting students’ self-directed learning by showcasing diverse applications of generative AI, from its fundamentals to prompt engineering, beyond Python programming. Through this process, the study investigates how generative AI may contribute to the development of students’ mathematical thinking and data analysis skills, as well as its impact on improving the efficiency and sophistication of research, based on analyses of deliverables such as student surveys and graduation theses.
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