Article Per Year (5 Year)
p-Index From 2021 - 2026
2.663
P-Index
This Author published in this journals
All Journal JOIV : International Journal on Informatics Visualization Edu-Ling: Journal of English Education and Linguistics Frasa: English Education and Literature Journal Eastasouth Journal of Impactive Community Services INTERNATIONAL JOURNAL OF LANGUAGE PEDAGOGY Journal of Nahdlatul Ulama and Contemporary Islamic Studies
Ahmad, Norkhairi
Unknown Affiliation
Religion Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Languange, Linguistic, Communication & Media Social Sciences Other

Published : 16 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 16 Documents
Search

 1   2 
A BASIC OVERVIEW OF THE CHALLENGES IN TEACHING INTERCULTURAL COMMUNICATION AMONG TERTIARY LEVEL ENGLISH TEACHERS IN CHINA Xuyiping, Xuyiping; Ahmad, Norkhairi; Anisah Abu Hasan, Salmah
FRASA: ENGLISH EDUCATION AND LITERATURE JOURNAL Vol. 4 No. 2 (2023): Vol. 4 No. 2 September 2023
Publisher : Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/frasa.v4i2.3144

Abstract

This paper provides an overview and discussion on the current situation of intercultural communication training and challenges for tertiary English in China. A qualitative meta-analysis was conducted on research articles written both in Chinese language and English during the last two decades (from 2002) to explore reported challenges faced by teachers. Mitigating strategies undertaken were also scrutinized via documents analysis of the assorted papers. The findings showed that instructional efforts to develop intercultural communication competence in tertiary students was previously quite stagnant in its approaches, riddled with various micro and macro level challenges and quite unsuccessful in yielding the desired results. Only within the last decade with the advent of ICT and multimedia technology that concerted efforts could be integrated into producing considerable results. This study puts forth relevant improvement strategies derived from various aspects analyzed. They came in the form of inevitable measures like upgrading the teaching system, improving the quality of teachers, changing the teaching strategies, developing resource hub, developing professional teams and groupings, and optimizing intercultural communication evaluation mechanism. The findings from this study has high transferability and  insights for institutions in countries with similar contexts. It also provides beneficial theoretical reference for the training of intercultural communication competence in a foreign language learning context.
UNIVERSITY STUDENTS ACCEPTANCE OF INTEGRITY AND ANTI-CORRUPTION TOPICS INCORPORATED WITHIN LANGUAGES AND HUMANITIES COURSES VIA CONTENT BASED INSTRUCTION APPROACH Mohamed Zin, Mohd; Ahmad, Norkhairi; Adri Mohd Din, Mohd; Mohd Ariffin, Adifarizal
FRASA: ENGLISH EDUCATION AND LITERATURE JOURNAL Vol. 4 No. 2 (2023): Vol. 4 No. 2 September 2023
Publisher : Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/frasa.v4i2.3145

Abstract

The objective of the study is to measure the university student; acceptance of the Content based instruction (CBI) approach for The Integrity and Anti-Corruption (IAC) and their understanding on corruption and integrity issues in Malaysia as a whole. This is important as the battle  against corruption must be carried out via all means. Thus the CBI approach enables lecturers to emphasize IAC within their existing languages and humanities courses. Data was elicited via survey questionnaires and selective interviews  on 90 students who enrolled in the various  courses for February semester. The findings show that majority of the respondents were very receptive to the integration of IAC topics via CBI in the languages and humanities courses and they  have good understanding on the main aspects of integrity and  corruption. However some of the students  perception on a few micro practices relating to corruption shows somewhat worrying results. Suggestions are put forth to improve the content integration in the courses so that the learning outcomes will be better achieved as  the understanding of IAC  reach a better level.
FEMALE STUDENTS PERCEPTION ON CHALLENGES AND OPPORTUNITIES FOR THEIR GENDER IN ENGINEERING TECHNOLOGY STUDIES AND THE PROFESSION Zakaria, Alia Zahirah; Farrid, Muhammad Faiz Mohd; Serkawi, Muhammad Syadi Zakhwan; Ahmad, Norkhairi; Huridi, Mohd Hanafia
FRASA: ENGLISH EDUCATION AND LITERATURE JOURNAL Vol. 6 No. 1 (2025): Vol. 6 No. 1 March 2025
Publisher : Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/frasa.v6i1.4849

Abstract

The field of engineering technology has been historically dominated by male students, resulting in a significant gender disparity in many countries. Female students pursuing engineering technology courses face unique challenges that can hinder their success and participation in the field. This research aims to explore the challenges faced by female students in engineering technology courses and present mitigating strategies to address the issues. A combination of basic quantitative survey was undertaken on a sampling of third year female students at a private engineering technology university. A qualitative interview was also conducted on a senior female academic staff who had extensive work experience in the field prior to become an academic. This served as a triangulation to the responses obtained from the surveyed respondents. Findings from the study shows that the challenges faced by the female students in engineering technology courses can be categorized into three main areas namely social and cultural barriers, academic obstacles, and lack of representation and support. As a whole, the female students have a positive perception on engineering technology as a tertiary study option and also as a career choice that they will continue to pursue. In addressing the challenges faced by female students in engineering technology courses, a multi-faceted approach is needed. The approach must also addressing social and cultural barriers and provide adequate academic support to empowers female students to thrive in engineering technology and contribute to the nation.
Automatic Topic-Based Web Page Classification Using Deep Learning Apandi, Siti Hawa; Sallim, Jamaludin; Mohamed, Rozlina; Ahmad, Norkhairi
JOIV : International Journal on Informatics Visualization Vol 7, No 3-2 (2023): Empowering the Future: The Role of Information Technology in Building Resilien
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.7.3-2.1616

Abstract

The internet is frequently surfed by people by using smartphones, laptops, or computers in order to search information online in the web. The increase of information in the web has made the web pages grow day by day. The automatic topic-based web page classification is used to manage the excessive amount of web pages by classifying them to different categories based on the web page content. Different machine learning algorithms have been employed as web page classifiers to categorise the web pages. However, there is lack of study that review classification of web pages using deep learning. In this study, the automatic topic-based classification of web pages utilising deep learning that has been proposed by many key researchers are reviewed. The relevant research papers are selected from reputable research databases. The review process looked at the dataset, features, algorithm, pre-processing used in classification of web pages, document representation technique and performance of the web page classification model. The document representation technique used to represent the web page features is an important aspect in the classification of web pages as it affects the performance of the web page classification model. The integral web page feature is the textual content. Based on the review, it was found that the image based web page classification showed higher performance compared to the text based web page classification. Due to lack of matrix representation that can effectively handle long web page text content, a new document representation technique which is word cloud image can be used to visualize the words that have been extracted from the text content web page.
Data Pre-processing of Website Browsing Records: To Prepare Quality Dataset for Web Page Classification Apandi, Siti Hawa; Sallim, Jamaludin; Mohamed, Rozlina; Ahmad, Norkhairi
JOIV : International Journal on Informatics Visualization Vol 8, No 1 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.1.1618

Abstract

The increased usage of the internet worldwide has led to an abundance of web pages designed to supply information to internet users. The use of web page classification is becoming increasingly necessary to organize the growing number of web pages. This classification model serves as a tool to restrict internet usage to specific categories of web pages. To develop the classification model, it’s crucial to check the quality of the dataset, as it determines the performance of the web page classification model. Raw datasets are typically unreliable and subject to noise, which complicates data analysis. This is why data pre-processing is necessary to prepare the dataset properly. In this study, website browsing records serve as the dataset. The primary goal of this paper is to investigate data pre-processing techniques for website browsing records, focusing on Game and Online Video Streaming web pages. Data pre-processing involves two main steps: data cleaning and web content pre-processing. After completing the data cleaning process, the datasets are reduced from the original. This demonstrates that many datasets can be eliminated due to their inactivity or unsuitability as the datasets for Game and Online Video Streaming web pages. Meanwhile, web content pre-processing removes noise from an HTML document, retaining only relevant words that can represent the web page by creating a word cloud image. Convolutional Neural Networks (CNN) will be used to construct a model for categorizing web pages to determine whether they fall under Game or Online Video Streaming. The pre-processed data will be used as the input for this model.
IMPROVING STUDENTS’ ABILITY IN READING COMPREHENSION NEWS ITEM TEXT BY USING GRAPHIC ORGANIZER Marginingsih, Marginingsih; Muhtarom, Moh; Sundari, Sundari; Ahmad, Norkhairi
FRASA: ENGLISH EDUCATION AND LITERATURE JOURNAL Vol. 7 No. 1 (2026): Vol7 No.1 March 2026
Publisher : Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/frasa.v7i1.5242

Abstract

Reading comprehension is essential for non-language students in English for Specific Purposes (ESP) to access domain-specific knowledge, yet many face challenges with news item texts due to their complex structure and limited exposure to journalistic content, leading to high reading anxiety and low comprehension scores. This study aimed to evaluate the effectiveness of graphic organizers in enhancing reading comprehension of news item texts and to assess student perceptions in an ESP context. Employing a quantitative quasi-experimental one-group pretest-posttest design, the research involved 120 second-semester students from Universitas Duta Bangsa and Universitas Dharma AUB, Surakarta, using reading comprehension tests and a perception questionnaire. Results showed a significant score increase (mean = 15.76; p < 0.001; N-Gain = 0.42, moderate), with a positive shift in score categories and reduced variance. Students reported high satisfaction (mean = 3.24) with the ease, clarity, and engagement of graphic organizers. These findings highlight graphic organizers as effective visual scaffolding tools, enhancing cognitive and emotional engagement, and suggest their integration into ESP pedagogy to improve academic reading outcomes for non-language learners across disciplines.
Co-Authors Adri Mohd Din, Mohd Agus Santoso, Aris Prio Ahmad, Badrul Hisham Alias, Muhammad Najhan Anisah Abu Hasan, Salmah Apandi, Siti Hawa Azmil, Muhd Afiq Farrid, Muhammad Faiz Mohd Huridi, Mohd Hanafia Ismail, Syafini Isworo, Ety Li Ping, Qiao Li-Ping, Qiao Maasum, TNRTM Marginingsih, Marginingsih Melati Mohamed Zin, Mohd Mohamed, Rozlina Mohd Ariffin, Adifarizal Muhtarom, Moh Qushairi Ahmad Sukri, Ahmad Farhan Sallim, Jamaludin Serkawi, Muhammad Syadi Zakhwan Sinarman Jaya Sundari Sundari Xuyiping, Xuyiping Zakaria, Alia Zahirah