Cloud-Based Tools and Applications in Enhancing Deep Learning Progression in Malay Language Phonetic and Phonology Course

Abdul Hadi Mat Dawi, Khairul Anuar Ismail, Mohd Khadri Fazil Rahman


This study was conducted to identify the cloud-based tools and applications in enhancing deep learning progressionin Malay Language Phonetic and Phonology Course among pre-service teachers of Teacher Education Institute (Institut Pendidikan Guru, IPG). The study employed mixed method research design, namely a sequence of explanatory design. A total of 22 IPG Ipoh pre-service teachers were randomly selected for this study. The research instruments were the questionnaire and the semi-structured interview protocol. Descriptive statistics analysis and interview transcript coding were used to analyse the data. The findings showed high score of engagement in the learning (Min = 5.72, SD = 0.72), moderate score of enhancement of the learning goals (Min = 4.14, SD = 2.21), and low score of extension of the learning goals (Min = 1.65, SD = 1.86). The data obtained from interviews showed that the pre-service teachers with high score (green light level) in all three components of the Triple E Framework had potential to acheive the developing and accelerating level in leveraging digital dimension of deep learning progression rubric. The results revealed that the leveraging cloud-based tools and applications must always meet all the three components of the Triple E Framework during phonetic and phonology learning in order to achieve deep learning.


Deep Learning, Cloud-based tools, Leveraging Digital, Phonetic and Phonology, Tools and applications, Triple E Framework.

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