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Digital Literacy: A Catalyst for the 21st Century Education

机译:数字扫盲:21世纪教育的催化剂

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The seamless integration of new digital technologies into higher education teaching and learning has transformed education pedagogies and changed how students learn. The students are now required to have digital competencies to survive in the era of learning with technology; therefore, measuring the students’ digital competencies is of utmost importance. This study evaluates the first-year university students’ digital competencies at a higher education institute using a newly designed digital literacy measuring tool named digitlitfj. The digitlitfj is an online tool consisting of a 5 point Likert scale questionnaire ranging from ‘No understanding’ to ‘Advanced level of understanding’ that was piloted to the first-year university students. The results show that 86.15% of the students were average to very highly digitally literate. Also, Deep learning, Support Vector Machine, Random Forest and Decision Tree algorithms in RapidMiner were used to evaluate the most important and influential variables in predicting an individual’s digital literacy competency. The results show that all the variables utilized in the research were important, with computer literacy being the most influential variable in predicting an individual’s digital literacy.
机译:新数字技术进入高等教育教学和学习的无缝集成改变了教育教学,改变了学生的学习方式。现在,学生们必须在与技术学习时代生存的数字能力;因此,测量学生的数字竞争力最重要。本研究使用新设计的数字扫盲测量工具评估了一位高等教育学院的第一年大学生的数字能力,名为Digitlitfj。 DigitLitfj是一个由5点李克特量表调查问卷组成的在线工具,从“~no的理解”到延续的理解程度,这是驾驶到第一年大学生的矛盾。结果表明,86.15%的学生平均是非常高度的数字识字。此外,RIPPMINER中的深度学习,支持向量机,随机森林和决策树算法用于评估预测个人数字识字能力的最重要和有影响力的变量。结果表明,研究中使用的所有变量都很重要,计算机素养是最有影响力的变量,以预测个人的数字识字。

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