The enhancement of assistive courseware for visually impaired learners

Roseli, Nur Hazwani Mohamad; Aziz, Nurulnadwan; Mutalib, Ariffin Abdul

doi:10.1109/itsim.2010.5561368

Cited by 7 publications

(4 citation statements)

References 3 publications

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“…They were the most affected by such a dramatic change in their daily rhythms and ways of learning. They had adapted and maximized their potential to use it effectively (Kavčič et al, 2017;Roseli et al, 2010). Some of their peers recommended specific technology for those who had not discovered the AI virtual assistant (Chong & Abeliuk, 2019).…”

Section: Theme 1: Barriers In the Learning Processmentioning

confidence: 99%

“…Some of their peers recommended specific technology for those who had not discovered the AI virtual assistant (Chong & Abeliuk, 2019). They have learned to overcome their struggles by correctly utilizing their ability to cope with the situation with the help of someone more capable or with a self-learning technique (Roseli et al, 2010).…”

Section: Theme 1: Barriers In the Learning Processmentioning

confidence: 99%

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Leveraging Education through Artificial Intelligence Virtual Assistance: A Case Study of Visually Impaired Learners

Mina¹,

Solon²,

Sanchez³

et al. 2023

Int. J. Edu. Inno. Res.

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The study aims to explore an in-depth analysis of leveraging education through artificial intelligence (AI) virtual assistance among visually impaired learners. The investigation centers on describing the challenges and struggles encountered by visually impaired learners, highlighting the usage of AI virtual assistance, the adaptability of the visually impaired learners, and the enhancement of the curriculum. This study utilized a qualitative case study research design using Braun and Clarke’s (2008) data analysis method to describe an in-depth dissection of a case study involving five visually impaired learners through semi-structured interviews. Findings revealed five themes: (1) barriers in the learning process, (2) essentiality of AI virtual assistants, (3) achieving competence through technology, and (4) inclusive teaching and learning environment. The findings show that this pandemic has brought challenges to visually impaired learners in education, such as personal struggles, insufficiency of resources, and adapting to new learning modalities. However, AI virtual assistance allowed them to explore their potential and help them achieve academic tasks that are generally difficult due to their visual impairment. Researchers recommend improving the teaching and learning of visually impaired students in secondary schools.

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Section: Theme 1: Barriers In the Learning Processmentioning

confidence: 99%

Section: Theme 1: Barriers In the Learning Processmentioning

confidence: 99%

Leveraging Education through Artificial Intelligence Virtual Assistance: A Case Study of Visually Impaired Learners

Mina¹,

Solon²,

Sanchez³

et al. 2023

Int. J. Edu. Inno. Res.

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“…There are many examples of AT developed since the past few decades in the forms of hardware and software (Elmetwaly, 2010;Nordin and Ali, 2009). Most of these technologies are for accessing information and service including learning process (Elmetwaly, 2010;Roseli et al, 2010;Aziz et al, 2009). Druin (2009) defines AT as any device that could assist any impairment or disabled person in performing a task.…”

Section: Introductionmentioning

confidence: 99%

Visually Impaired Children's Acceptances on Assistive Courseware

Aziz¹

2011

American Journal of Applied Sciences

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Problem statement:The government of Malaysia is considering serious efforts in promoting the usage of computers among disabled people. Currently, the availability of computer applications especially related to creative contents for disabled people in Malaysia is infancy and very expensive. Research and expertise in the area of Assistive Technology (AT) in Malaysia is still uncommon and not extensively utilized. Therefore research involving special communities such as disabled people on the usage of electronic applications should be focused because records show that their population populations are increasing. Hence, this research will be tailored for Visually-Impaired (VI) learners. In Malaysia, visual impairment is one of the highest registered disabilities. Approach: This study presents an ongoing project that determines whether the VI children can accept the Assistive Courseware (AC) as one of the effective tools in their learning process. Specification identification, AC development and testing and evaluation are three activities involved in this study. In addition, data have been collected through qualitative approaches. Results: The results highlight four important elements for incorporated in an AC for VI children. Through the testing and evaluation, it was found that the VI children accept the AC due to interesting usage of audio, graphic, text and easy navigation method. Conclusion: In a nutshell, the positive responses prove that the AC not only exposes the VI children to the world of technology but also educates them in terms of interpersonal skills, intrapersonal skills and motivation. The recommended future work is to produce a much comprehensive AC which focuses on interactivity, various multimedia elements, multiple intelligence elements and multiple stages of exercise in granting value-added AC not only for VI children in Malaysia but also to other world VI communities in the world.

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“…Hence for people who are suffering from visual perception, their vision needs to be substituted by auditory sense or tactiles. According to the National Eyes Survey (NESII) conducted in Malaysia [2], the major cause of blindness was a delay in cataract surgery which caused 216,000 blind and 272,000 to be visually impaired. The second most common cause of blindness was diabetic eye disease, which results in 10 percent being blind and 6 percent with low vision.…”

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confidence: 99%

IoT Enabled Intelligent Stick for Visually Impaired People for Obstacle Recognition

Farooq

Shafi

Khan

et al. 2022

Sensors

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This paper presents the design, development, and testing of an IoT-enabled smart stick for visually impaired people to navigate the outside environment with the ability to detect and warn about obstacles. The proposed design employs ultrasonic sensors for obstacle detection, a water sensor for sensing the puddles and wet surfaces in the user’s path, and a high-definition video camera integrated with object recognition. Furthermore, the user is signaled about various hindrances and objects using voice feedback through earphones after accurately detecting and identifying objects. The proposed smart stick has two modes; one uses ultrasonic sensors for detection and feedback through vibration motors to inform about the direction of the obstacle, and the second mode is the detection and recognition of obstacles and providing voice feedback. The proposed system allows for switching between the two modes depending on the environment and personal preference. Moreover, the latitude/longitude values of the user are captured and uploaded to the IoT platform for effective tracking via global positioning system (GPS)/global system for mobile communication (GSM) modules, which enable the live location of the user/stick to be monitored on the IoT dashboard. A panic button is also provided for emergency assistance by generating a request signal in the form of an SMS containing a Google maps link generated with latitude and longitude coordinates and sent through an IoT-enabled environment. The smart stick has been designed to be lightweight, waterproof, size adjustable, and has long battery life. The overall design ensures energy efficiency, portability, stability, ease of access, and robust features.

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The enhancement of assistive courseware for visually impaired learners

Cited by 7 publications

References 3 publications

Leveraging Education through Artificial Intelligence Virtual Assistance: A Case Study of Visually Impaired Learners

Leveraging Education through Artificial Intelligence Virtual Assistance: A Case Study of Visually Impaired Learners

Visually Impaired Children's Acceptances on Assistive Courseware

IoT Enabled Intelligent Stick for Visually Impaired People for Obstacle Recognition

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