Evaluating Usability and Content Accessibility for e-Learning Websites in the Middle East

Hammad, Mustafa; Alnabhan, Mohammad; Doush, Iyad Abu; Alsalem, Gheed Mufied; Al-Alem, Fatima Abdalla; Al-Awadi, Mouhammd Mahmoud

doi:10.4018/ijthi.2020010104

Cited by 13 publications

(13 citation statements)

References 6 publications

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“… Study Approach Cleaning (Items removed) Normalization URLs Other Links User mentions Emoticons Other samples Non-Arabic letters Stop words Character shape Repeated letters Non-normal words Sapling mistakes [ 3 ] Arabic microblogs' retrieval (Algorithms + dictionary base approach.) √ √ √ √ √ Some √ √ character 4-grams character 4-grams [ 15 ] Arabic sentiment analysis corpus (dataset development approach) √ √ √ √ √ [ 19 ] Social media content analysis (Text mining approach) √ √ [ 20 ] Social media user behavior analysis (feature extraction approach) √ √ √ √ √ √ √ √ √ [ 21 ] Corpus for Arabic sentiment analysis (dataset development approach) √ √ √ Removing non-translated words Removing non-translated words [ 22 , 23 , 24 ] Sentiment analysis (ML approach) …”

Section: Discussionmentioning

confidence: 99%

“… Study Stemming Root Tokenization Morphology [ 3 ] Statistical stemming Not used Applying previous tools (AMIRA tools) Dealing with common forms (without using any morphology generation algorithm) [ 15 ] Not used Not used Applying previous tools (Madamira tools) Not used [ 19 ] Applying existing stemmer algorithm Not used. Only recognizes the root inside the word stem (no individual consideration) Implemented and clubbed with (WEKA) data analysis tool Not used [ 20 ] Not used for the dataset only for the topic Not used Implemented for all the words inside the topic Not used [ 21 ] Applying existing tools Implemented using existing tools Applying (POS) tools to categorize words Applying (POS) tools to categorize words [ 22 , 23 , 24 ] Applying existing tools Not used Implemented Not used Our approach New approach for social media Arabic text New approach for social media Arabic text Implemented Designing and applying morphology algorithm that generates Arabic word morphology template …”

Section: Discussionmentioning

confidence: 99%

“…Sentiment analysis has gained the highest attention from researchers working on social media Arabic text; however, most of their works focus on employing machine-learning and deep learning techniques to provide solutions to the problems in sentiment analysis, without concentrating much on the problems of social media Arabic text. Some of them used a readymade dataset and others provided prepressing approaches using common tools, e.g., Hammad & Al-awadi [ 22 ] employed a support vector machine (SVM), back propagation neural networks (BPNN), naïve Bayes (NB), and decision tree (DT) for hotel reviews on social media. The authors created their dataset from Facebook, Twitter, and YouTube comments.…”

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Preprocessing Arabic text on social media

Hegazi

Al-Dossari

Al-Yahy

et al. 2021

Heliyon

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Currently, social media plays an important role in daily life and routine. Millions of people use social media for different purposes. Large amounts of data flow through online networks every second, and these data contain valuable information that can be extracted if the data are properly processed and analyzed. However, most of the processing results are affected by preprocessing difficulties. This paper presents an approach to extract information from social media Arabic text. It provides an integrated solution for the challenges in preprocessing Arabic text on social media in four stages: data collection, cleaning, enrichment, and availability. The preprocessed Arabic text is stored in structured database tables to provide a useful corpus to which, information extraction and data analysis algorithms can be applied. The experiment in this study reveals that the implementation of the proposed approach yields a useful and full-featured dataset and valuable information. The resultant dataset presented the Arabic text in three structured levels with more than 20 features. Additionally, the experiment provides valuable information and processed results such as topic classification and sentiment analysis.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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Preprocessing Arabic text on social media

Hegazi

Al-Dossari

Al-Yahy

et al. 2021

Heliyon

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“…Accessibility in e-learning presents an increasingly expanding value [7], [8] due to its intrinsic relationship with new technologies as mentioned above. This requires resources, research, and development that facilitate a higher level of accessibility, as described by a study of e-learning environments websites in eleven Middle East countries [9]. Some LPs are adapted to different capacities [10] following different versions of the standards.…”

Section: Introductionmentioning

confidence: 99%

Improving Accessibility in Online Education: Comparative Analysis of Attitudes of Blind and Deaf Students Toward an Adapted Learning Platform

Batanero-Ochaita¹,

de‐Marcos²,

Rivera³

et al. 2021

IEEE Access

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People with different capacities, such as the deaf and blind, have problems accessing educational content due to lack of accessible technology. Accessibility and usability are closely related concepts that share the goals for a satisfactory user experience. Existing literature establishes a direct relation between accessibility and usability, and reports that there are problems with both in learning platforms, and more generally with most websites. The objective of this paper is to evaluate the accessibility and usability of a learning platform by interrogating its participants. Three groups of students with different capacities (blind, deaf and deaf-blind) used an accessible learning platform prototype to assess the accessibility and usability of the platform and its contents. This article presents a comparative study of the perception and attitude of blind and deaf students towards the use of a learning platform adapted to their personal needs. Results showed that their attitude to the adaptation was very positive but there were differences in the perception of the ease of use of the application and with the level of difficulty to access the learning content. This work contributes to knowledge by showing the effects that adaptations have on learning contents for blind and deaf students in terms of accessibility and ease of use through the analysis of the perceptions of participants. Future work may consider increasing the sample of students, as well as developing and testing new technologies and approaches that address other forms of functional diversity.

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“…The features of learning in the digital environment are flexibility (in terms of the choice of time, place, level of complexity, quality of information) [1,2], accessibility (it is permissible to conduct classes anywhere in the world where there is an Internet connection) [3,4,5], mass (the probability of reaching a larger number of interested students), the rate of assimilation of the material (the ability to perform the task at a comfortable pace for students), repetition (it is permissible to re-use the materials in the recording at any time), the ability to perform several actions in parallel (getting education remotely and locally [6,7]; getting education during work or leisure). It is precisely because of its features that project-based learning in the digital environment attracts more and more users around the world and encourages teachers to use the capabilities of computer technologies in teaching.…”

Section: Introductionmentioning

confidence: 99%

Project-based learning opportunities in a digital environment: research on the naming of tourist destinations

et al. 2021

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The study is devoted to a problem that has not been sufficiently studied in relation to the field of education, namely, the problem of project-based learning in the digital environment. To solve this problem, education is considered as a contemporary phenomenon that allows the use of IT technologies and thus expands the opportunities of students both in terms of their mobility and the access to the educational process from anywhere in the world, and in terms of attracting intellectual, creative and technical resources. It was supposed that project-based learning in the digital environment has considerable prospects for students to gain professional skills, develop creative ideas, and introduce research methods into the business environment. As an example, the sociolinguistic research in the field of tourism was used. The project study conducted by the students is due to the growing interest of Russians in traveling around the country, but at the same time it showed the unpreparedness of the advertising and information base and proved that appealing to the promotion of domestic tourism, specialists should understand that today it is necessary to transform approaches to advertising tours and excursion routes. Thus, the implementation of joint student projects in the digital environment, covering sociolinguistic research and further work of specialists in the tourism industry, carried out on their basis on information and advertising support for tourist and excursion activities, will allow implementing project-based training as an important part of the practice-oriented educational process. In such projects, interdisciplinary interaction and inter-university cooperation can be implemented.

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Evaluating Usability and Content Accessibility for e-Learning Websites in the Middle East

Cited by 13 publications

References 6 publications

Preprocessing Arabic text on social media

Preprocessing Arabic text on social media

Improving Accessibility in Online Education: Comparative Analysis of Attitudes of Blind and Deaf Students Toward an Adapted Learning Platform

Project-based learning opportunities in a digital environment: research on the naming of tourist destinations

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