The partial contribution regarding the best learning method in predicting future anxiety of the students enrolled in the preparatory course of the Islamic University of Madinah

Helal Al-Harthei
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Abstract

The current study aimed to identify the partial contribution regarding the best learning method in predicting the stress of the students enrolled in the preparatory course of the Islamic University of Madinah. The descriptive approach was used (predictive) through the application of the Learning Styles Scale (Biggs al., 2001) and the future anxiety scale (Zainab Shukair, 2005) against a random sample of 184 students from the preparatory year in Islamic University of Madinah.The results concluded that the preferred learning style according to the participants of this study is deep learning, with an mild level of future anxiety, In addition, it is possible to predict the of future anxiety by knowing the preferred learning style of the student. Furthermore, the results show that the method of deep learning is the most capable of predicting the of future anxiety. The researcher reached a set of recommendations through the findings of this study.
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关于预测麦地那伊斯兰大学预备课程学生未来焦虑的最佳学习方法的部分贡献
本研究旨在确定在预测参加麦地那伊斯兰大学预备课程的学生的压力方面,最佳学习方法的部分贡献。通过使用学习风格量表(Biggs al., 2001)和未来焦虑量表(Zainab Shukair, 2005)对麦地那伊斯兰大学预科年级184名学生随机抽样,采用描述性方法(预测)。结果表明:本研究被试的首选学习方式为深度学习,对未来的焦虑程度较轻。此外,通过了解学生的首选学习方式可以预测未来的焦虑程度。此外,研究结果表明,深度学习方法对未来焦虑的预测能力最强。研究人员通过这项研究的结果得出了一套建议。
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