Forecasting using econometric approach (e-powtimesanalysis) / Norafefah Mohamad Sobri ...[et al.]

Mohamad Sobr, Norafefah and Abd Malik, Mohd Azry and Wan Husin, Wan Zakiyatussariroh and Che Yusof, Nur Syaliza Hanim and Ismai, Idari (2018) Forecasting using econometric approach (e-powtimesanalysis) / Norafefah Mohamad Sobri ...[et al.]. In: Kelantan International Learning and Innovation Exhibition (KILIEX), 15 August 2018, Dewan Profesional, UiTM Kelantan Branch.


The objective of this study is to develop interactive learning multimedia of Powerpoint (POWTOON) in teaching and learning activities especially in reading subject. The study also aims to
examine the effectiveness of power point in forecasting approach especially in econometric chapter. A total of 39 students from part 4 Diploma in Statistics , UiTM Cawangan Kelantan were selected as sample. The interactive learning multimedia of time series analysis course was successfully developed and named as ‘e-powtimesanalysis’. This ‘e-powtimesanalysis’ gives significant and valuable contributions to statistics educational practice and knowledge in the area of time series anaysis in the context of Malaysian Institution of Higher Learning. The findings also reveals that the students performance improved by 15.69% when teaching and learning process integrated the interactive
approach. The implication of this study suggested that the ‘e-powtimesanalysis’ can be used to enhance the quality of teaching and learning process in statistics education and simultanoeusly
increase the students’ performance in times series and forecasting subject


Item Type: Conference or Workshop Item (Paper)
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Mohamad Sobr, Norafefah
Abd Malik, Mohd Azry
Wan Husin, Wan Zakiyatussariroh
Che Yusof, Nur Syaliza Hanim
Ismai, Idari
Subjects: H Social Sciences > HA Statistics > Theory and method of social science statistics
Divisions: Universiti Teknologi MARA, Kelantan > Machang Campus
Event Title: Kelantan International Learning and Innovation Exhibition (KILIEX)
Event Dates: 15 August 2018
Page Range: pp. 24-27
Keywords: interactive learning, performance, time series
Date: 15 August 2018
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