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IJIET 2018 Vol.8(8): 594-598 ISSN: 2010-3689
doi: 10.18178/ijiet.2018.8.8.1105

The Effectiveness of “Mock Barista Room” for Hotel Operation Module at Sungai Petani Community College — A Case Study

Muhd Aminuddin Azizan, Mohd Ariff Fahmi Md Noor, and Reezlin Abd Rahman

Abstract—This survey study was conducted to identify the effectiveness of “Beverages Lab - Mock Barista Room” for Hotel Operation Modul as a teaching and learning innovation towards students learning method at Sungai Petani Community College. The module includes the methods of preparing all kinds of hot and cold beverages for Food and Beverages subject. This innovative teaching and learning approach reveals the real high skills work experience in preparing and serving beverages and coffee. This quantitative study involved the students of Hotel Operation, Sungai Petani Community College as respondents. The data was then analysed using SPSS software Version 21. The descriptive analysis report shows that respondents agreed with the functions of “Mock Barista Room” inproviding a condusive learning experience for them, in which the arrangement and the interior design of the room are aligned with the industrial needs. The findings of the research also reveal that the room is able to enhance students’ knowledge, skills and self-confidence.

Index Terms—Community college, competency, food and beverage.

The authors are with the Sungai Petani Community College, Malaysia (e-mail: amzizan1986@gmail.com, ariff_kksp@yahoo.com, riezman_kksp@yahoo.com).

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Cite: Muhd Aminuddin Azizan, Mohd Ariff Fahmi Md Noor, and Reezlin Abd Rahman, "The Effectiveness of “Mock Barista Room” for Hotel Operation Module at Sungai Petani Community College — A Case Study," International Journal of Information and Education Technology vol. 8, no. 8, pp. 594-598, 2018.

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Jon-Chao Hong
  • Managing Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (CiteScore 2023: 2.8), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Google Scholar
  • E-mail: ijiet@ejournal.net

 

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