Vol 6, No 2, July – December 2021

Permanent URI for this collectionhttps://cam-ed-oar.com/handle/cam-ed-oar/661

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Now showing 1 - 8 of 8

A Closer Look at the Impact of the COVID-19 Pandemic on the Mental Health of Students from CamEd Business School
(CamEd Business School, November 30, 2021) Adriaan Cornet
The COVID-19 pandemic brought unprecedented changes in people’s lives and more specifically to the life of many students around the world. This study aims to analyse the psychological distress related with the COVID-19 outbreak in students from CamEd business school. Common factors in psychological distress in students during the COVID-19 pandemic where analyzed in a literature review and used as focus to further understand psychological distress in this studies participants. Psychological distress and trauma symptoms related to the COVID-19 pandemic of 319 respondents where measured by the SRQ-20 and the IES-R. Scores on psychological distressed where compared between genders and the factors ‘amount of COVID-19 related media consumption’ and ‘levels of (self)-isolation’ where tested for correlation with psychological distress. This study found relatively high levels of distress and trauma related symptoms in this population. 51.4% of the participants reported levels of distress that brings them at risk for mental health disorders and 50.5% reported levels of trauma related symptoms bringing them at risk for PTSD. Further analysis showed that trauma related symptoms account for 36.7% of the variance in psychological distress. There was a significantly higher amount of psychological distress in females compared with males. The factors ‘amount of COVID-19 related media consumption’ and ‘levels of (self)-isolation’ did not show any correlation with psychological distress in this study. Limitations and implications of these findings are discussed. Factors in psychological distress for this specific population needs further research. General interventions and supportive measures for at risk students are discussed. Keywords: COVID-19; Psychological Distress; Students; factors on Psychological distress; Cambodia.
Accountancy Students’ Familiarity with Accounting Information Systems and Other Technologies Used in the Workplace
(CamEd Business School, November 30, 2021) Juliet Cadungog-Uy
This paper intends to assess the accounting students’ familiarity with the different accounting software and other technologies used in the workplace. The results show that the students are strong in areas related to the use of different office software applications like Microsoft Word, Google Docs, Microsoft Excel, Google Sheets, Microsoft PowerPoint, and Google Presentation. They are also very familiar with two operating systems like Android and IOS and three types of office productivity software like Google Forms, Gmail, and Microsoft OneNote. They are very familiar with Google Meet as a communication and collaboration software and cloud storage like Microsoft OneDrive, Google Drive, and Apple iCloud. They are also using Google, YouTube, Amazon, and Facebook to search for information. The students however are still not very familiar with accounting information systems and other technologies used in the workplace except with Excel and Microsoft Access where they are a bit familiar with. They are also not familiar with emerging technologies like cloud computing, big data and data analytics, artificial intelligence, Blockchain, and distributed ledgers. This knowledge and skill areas need to be strengthened for them to be better prepared when they join the labor marketplace. Keywords: accountancy, familiarity, basic technology knowledge, accounting information system.
Blended Learning: An Effective Learning Approach in the 21st Century
(CamEd Business School, November 30, 2021) Christion Grace Colon
Blended Learning is rapidly emerging as a domain of instructional approach and research. Across disciplines and contexts, at individual lecturer and institution levels, educators are experimenting with the blended model of instruction. Ham (2010) described blended learning as the “marriage of new technologies to old teaching’ and this had been positively embraced by both learners and teachers. Millennials have been referred to as “digital natives” in reflection of their apparent ease and familiarity with digital technology. It only makes sense for teachers to leverage this to the students’ advantage. However, questions remain on how ready teachers are in a blended learning model of instruction. This study will discuss how educators today can maximize the benefits of each mode of blended teaching and what they can do in order to tailor their lessons based on the needs of their students. Keywords: Blended learning; 21st Century learning.
Customer Satisfaction on Online Shopping in Cambodia
(CamEd Business School, November 30, 2021) Monirul Islam
The rapid growth of Internet use and the continuous advancement of technologies have transformed the way things are bought and sold, resulting in a growing number of online shoppers. This study uses a closed-ended questionnaire to collect data on the major shift that has been predicted in the field of online shopping, as well as the customer’s preference and satisfaction with online shopping. This is a survey study of the people living in Phnom Penh city because they are the customer who frequently purchases products online. This study aims to identify the most important elements that influence customer satisfaction. The survey was conducted among 246 customers to analyze their perception of online shopping. Finding shows that online shopping satisfaction and intention depend on reliability, payment method, product quality, service quality of online stores, speed of delivery, option to return policy, and good customer reviews. This research would be helpful to enhance company’s performances by offering the services that customer prefers. Keywords: Online Shopping, Customer Satisfaction.
Importance of Math and Difficulties in Learning Perceived by Cambodian Grade 10 and 11 students
(CamEd Business School, November 30, 2021) Mara Mong
Math is an important subject for other fields of sciences and useful for solving real-world problems. But there seems to be a decline in the attention towards this subject, also including Cambodian context. It is necessary explore the causes behind this issue and to promote the learning of this subject. In this paper, the researcher uses a sample from existing data obtained from grade 10 and 11 Cambodian students of public secondary schools in 2019 to analyze students’ perceptions of how they know the importance of Math and perceptions of the obstacles/difficulties in learning the subject using principle component analysis. Findings reveal three components/variables, two of which are obstacle-related, and another is of sources of knowledge of math importance. The analysis of data also includes testing the difference in perceptions of rural-school students and urban-school students over the obstacles/difficulties of learning math and the sources of knowledge of math importance, using Mann-Whitney U test. The results show no different perceptions over the sources of knowledge of math importance but significant difference in perceptions over the obstacles of learning math. Keywords: Perception, importance of math, learning math, Mann-Whitney U test, principal component analysis, PCA.
Machine Learning and Deep Learning approaches in Network Intrusion Detection
(CamEd Business School, November 30, 2021) Anil K. Makhija
This paper presents multiple hybrid models for Intrusion detection systems (IDS). Some of the proposed models use combination of information-gain based feature selection followed by classification using Random Forests and Naïve Bayes algorithms. Some of the proposed model use combination of expectation-maximization based clustering, information-gain based feature selection and then feed forward neural network with the backpropagation training algorithm. NSL-KDD dataset has been used to train and validate the model and NSL-KDD Test dataset is used to test the accuracy, precision, recall and F1-score of each of the proposed model. Performance of the proposed models is also compared with performance of Random Forests and Naïve Bayes based classification. The experimental results on the model that uses combination of expectation-maximization based clustering, information-gain based feature selection and then feed forward neural network showed promising results on detecting the intrusion when tested on NSL-KDD Test dataset. Keywords : Network Intrusion Detection Systems, Deep Learning, Artificial Intelligence, NSL-KDD, NIDS, Artificial Intelligence in Network Security
Macroeconomic Policies and Economic Growth of Cambodia during the COVID-19 Era
(CamEd Business School, November 30, 2021) Sereyvath Ky; Siphat Lim
The purpose of this research paper is to observe the most impacted sector among the three major contributors, including agricultural, manufacturing and service sectors on Cambodia economic growth. Additionally, the scenario analysis was employed to indicate the negative impact of the global widespread pandemic of Covid-19 on Cambodia economic growth. Responding to the research question, the VAR model which consists of the four endogenous variables, such as the real GDP growth rate, the growth rate of agricultural, the manufacturing and service sectors was run using the quarterly data from 2001:Q1 until 2019:Q4. The empirical result from the VAR model indicated that the industrial or manufacturing sector is the major contributor to Cambodia economic growth while agriculture and service respectively rank number two and three as the sectors influencing Cambodia economic growth. Furthermore, the scenario analysis indicated that in the case that all of the three sectors decrease by 5 percent quarterly for four quarters, Cambodia economic growth is expected to drop around 3.62 percent quarterly. Therefore, to minimize the impact of Covid-19 on Cambodia economic growth, the Royal Government of Cambodia is recommended to form the policy to support domestic manufacturing, especially the SMEs through increasing the regulation on the imported products that Cambodia can produce. The government should provide tax exemption and support to domestic manufacturers. Moreover, the government should provide financial and technical supports to the domestic manufacturers. Finally, the government should facilitate the improvement of the ability of domestic labor by providing vocational trainings.. Keywords: GDP; Covid-19; VAR Model; Scenario Analysis
The Effect of Export on Economic Growth in Cambodia: Policy Formulation
(CamEd Business School, November 30, 2021) Siphat Lim
The empirical result of this research has indicated that Cambodian export has a statistical significant relationship with the gross domestic product in both short-term and long-term, based on the result of Engle-Granger co-integration test and the estimated result of the Error Correction Model (ECM). The economy of Cambodia is proven to remain vulnerable, if the export of the country is negatively affected by the external shock. The evidence of the scenario analysis has demonstrated that if the export of Cambodia declines by 10% in only a quarter, the expected future of gross domestic output is expected to drop on average by approximately 1.38% per quarter which is equivalent to around 5.65% per year. Prominently, the speed of adjustment is seen to be significantly as slow as 3.33% per quarter. The synchronized policy formulation from the interviewing of the Cambodian Economists and Policymakers has advocated that the increasing of the government expenditure in developing the infrastructures, expanding and strengthening the SMEs, developing human capital, and supporting the agriculture, especially, pledging to reduce the BBC to the lowest level is the prioritized strategic plan which has to be implemented by the Royal Government of Cambodia in the short-term, medium-term and long-term to prevent the possible future economic recession and depression due to the external shock as well as to increase the level of the country competitiveness in the global market. Keywords: Co-integration test, ECM, Speed of adjustment, Scenario analysis.