Motivational design for inclusive digital learning: Women college engineering students’ motivation for online STEM learning

IF 2.4 Q1 EDUCATION & EDUCATIONAL RESEARCH Contemporary Educational Technology Pub Date : 2024-01-01 DOI:10.30935/cedtech/14047
J. Sung, Wen-Hao David Huang
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Abstract

This study identifies women college engineering students’ perception of online Science, technology, engineering, and mathematics (STEM) learning and factors that influence their learning motivation during the COVID-19 period. By conducting interviews with ten women engineering students and applying attention, relevance, confidence, and satisfaction (ARCS) model, this study aims to answer two questions: (1) How did women college engineering students perceive their experience with online STEM learning during the pandemic? (2) What category/categories based on ARCS motivational design model primarily account for women college engineering students’ learning motivation with online STEM learning during the pandemic? The results show that the online learning format influenced women college engineering students’ perception regarding their academic plans, learning styles, learning environments, peer learning, and learning satisfaction. The most influential categories from ARCS model were ‘confidence’ and ‘attention’. Findings suggest that the online STEM learning format influenced women college engineering students’ learning motivation. The online format led to (1) low expectations for attention category when analyzed using ARCS model, (2) anticipation of more self-control, and (3) a desire for more peer interactions in their online STEM learning. As students would have new expectations for the role of online learning due to their experience during the pandemic, assessing women students’ emerging motivational needs for STEM online learning is critical in developing a more inclusive instructional system design process in the future.
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包容性数字化学习的动机设计:工科女大学生在线 STEM 学习的动机
本研究探讨了女大学生在 COVID-19 期间对科学、技术、工程和数学(STEM)在线学习的看法以及影响其学习动机的因素。通过对十名工科女大学生进行访谈,并运用注意力、相关性、自信心和满意度(ARCS)模型,本研究旨在回答两个问题:(1) 工科女大学生如何看待她们在大流行病期间的在线 STEM 学习体验?(2) 基于 ARCS 动机设计模型的哪一类/哪几类主要解释了大流行病期间工科女大学生在线 STEM 学习的学习动机?结果表明,在线学习形式影响了女大学生在学业计划、学习风格、学习环境、同伴学习和学习满意度等方面的认知。在 ARCS 模型中,影响最大的类别是 "自信 "和 "注意力"。研究结果表明,在线 STEM 学习形式影响了工科女大学生的学习动机。在使用 ARCS 模型进行分析时,在线学习形式导致了(1)对注意力类别的低期望值,(2)对更多自我控制的预期,以及(3)对在线 STEM 学习中更多同伴互动的渴望。由于大流行病期间的经历,学生们对在线学习的作用有了新的期望,因此,评估女学生对 STEM 在线学习的新动机需求对未来开发更具包容性的教学系统设计过程至关重要。
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来源期刊
Contemporary Educational Technology
Contemporary Educational Technology Social Sciences-Education
CiteScore
6.20
自引率
0.00%
发文量
55
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