Artificial intelligence for students in postsecondary education

Martiniello, Natalina; Asuncion, Jennison V.; Fichten, Catherine S.; Jorgensen, Mary; Havel, Alice; Harvison, Maegan; Legault, Anick; Lussier, Alex; Vo, Christine

doi:10.1145/3446243.3446250

Cited by 11 publications

(7 citation statements)

References 27 publications

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“…An Artificial Intelligence Advisory Board (Adaptech Research Network, 2020) consisting of an international team of consumers, scholars, and researchers indicated that the literature on the issue, though of apparent interest and timeliness, is rather sparse and predominantly descriptive (e.g., Martiniello et al, 2020) and that there is little consensus among stakeholders about how to define AI and AI-enabled functionality to facilitate learning. Consequently, our systematic search strategy was built around the explicit use of the key term "artificial intelligence," supplemented by indications of relevant educational purposes, settings, environments, and categories of learners.…”

Section: Collating Summarizing and Reporting The Resultsmentioning

confidence: 99%

State of the Research on Artificial Intelligence Based Apps for Post-Secondary Students with Disabilities

Fichten

Pickup

Asunsion

et al. 2022

eei

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We conducted a general Google search and a scoping review of various types of artificial intelligence (AI) based technology – mobile, web-based, software, hardware – used by college and university students to do schoolwork. The main findings indicate that (1) there is no generally agreed upon definition of AI, and (2) there is a huge discrepancy between the popular press articles that are behind the AI hype and the scientific literature. The popular press provides an overview of the AI tools available to students with disabilities and discusses how students can use these tools. The scientific literature is primarily devoted to tool development and has poor methodology. We conclude that the potential of AI for post-secondary students with disabilities is enormous, but that informed research about these tools is scant, with a profound lack of demonstrated scalability. Research needs to address “real-world” uses of AI-based tools by post-secondary students with disabilities.

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Section: Collating Summarizing and Reporting The Resultsmentioning

confidence: 99%

State of the Research on Artificial Intelligence Based Apps for Post-Secondary Students with Disabilities

Fichten

Pickup

Asunsion

et al. 2022

eei

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“…Various sectors, such as the educational sector, have implemented AI virtual assistants for advanced and higher education (Page & Gehlbach, 2017;Zawacki-Richter et al, 2019). This rapid development brings convenient daily life to students, especially for learners with disabilities, specifically the visually impaired ones (Forbes & Lasonen, 2021;Martiniello et al, 2021). Learners with visual impairments may be blind, partly sighted, or have poor vision.…”

Section: Introductionmentioning

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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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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“…Various sectors, such as the educational sector, have implemented AI virtual assistants for advanced and higher education (Hamuddin et al, 2020;Villegas-Ch et al, 2020;Zawacki-Richter et al, 2019). This rapid development brings convenient daily life to students, especially for learners with disabilities, specifically the visually impaired ones (Forbes & Lasonen, 2021;Martiniello et al, 2021). Learners with visual impairments may be blind, partly sighted, or have poor vision.…”

Section: Introductionmentioning

confidence: 99%

Leveraging education through artificial intelligence virtual assistance: A case study of visually impaired learners

Mina¹,

Solon²,

Sanchez³

et al. 2023

PEDAGOGICAL 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, 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 four 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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Artificial intelligence for students in postsecondary education

Cited by 11 publications

References 27 publications

State of the Research on Artificial Intelligence Based Apps for Post-Secondary Students with Disabilities

State of the Research on Artificial Intelligence Based Apps for Post-Secondary Students with Disabilities

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

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