An Inclusive Intelligent Learning Management System Framework Enhances Accessibility for Students with Disabilities

Why It Matters

This research highlights a critical gap in current higher education practices regarding digital accessibility. By proposing a framework that proactively addresses the needs of students with disabilities, it offers a tangible solution for institutions to create more equitable learning environments.

Key Finding

The study identified a disconnect between accessibility standards and their real-world application in universities. It proposes a comprehensive framework for learning management systems that leverages technology to make educational content and delivery more accessible to students with disabilities.

Key Findings

• There is a significant gap between existing knowledge, standards, and laws related to digital accessibility and their practical implementation in higher education.
• An integrated framework incorporating Web Content Accessibility Guidelines (WCAG) 3.0, student profiling, predictive analytics for at-risk students, and recommender systems can enhance accessibility and learning outcomes.
• Expert validation confirmed the potential of the proposed framework to improve accessibility and support for students with disabilities.

Research Evidence

Aim: How can an Inclusive Intelligent Learning Management System Framework be designed to support higher education professors in delivering accessible pedagogic content and classes for students with disabilities?

Method: Design Science Research Methodology, complemented by a systematic and narrative literature review.

Procedure: A systematic literature review was conducted using PRISMA methodology, focusing on intelligent systems and accessibility. This was supplemented by a narrative review on disabilities, digital accessibility, and relevant legal/standards contexts. A Design Science Research Methodology was then applied to develop an Inclusive Intelligent Learning Management System Framework. This framework was validated through a focus group comprising experts in digital accessibility, information systems, and a disabled graduate student.

Context: Higher education institutions, specifically focusing on learning management systems and digital accessibility.

Design Principle

Proactive integration of accessibility standards and intelligent support mechanisms within digital learning environments is essential for inclusive education.

How to Apply

When designing or evaluating learning management systems, consider the inclusion of features that automatically assess content accessibility, allow for student profile customization, and provide intelligent feedback and recommendations.

Limitations

The framework's validation was based on a focus group, and its real-world effectiveness requires further empirical testing in actual higher education settings. The specific implementation details of the predictive models and recommender systems would need further development.

Student Guide (IB Design Technology)

Simple Explanation: This research shows that making online learning tools easier for everyone to use, especially students with disabilities, is important. They created a plan for a smart system that helps teachers share content that everyone can access and helps students who might be struggling.

Why This Matters: Understanding user needs, especially those of underrepresented groups, is crucial for creating effective and ethical designs. This research provides a model for how to build inclusive digital learning environments.

Critical Thinking: To what extent can AI-driven features in a learning management system truly compensate for a lack of fundamental accessibility in course design and delivery?

IA-Ready Paragraph: This research highlights the critical need for inclusive design in digital learning environments, particularly for students with disabilities. The development of an 'Inclusive Intelligent Learning Management System Framework' demonstrates a proactive approach by integrating accessibility standards (WCAG 3.0), student profiling, and predictive analytics to create a more equitable educational experience. This framework serves as a valuable precedent for designing digital platforms that cater to a wide range of user needs and abilities.

Project Tips

• When designing a digital product, think about how people with different abilities will use it.
• Consider how technology can be used to support users who might face challenges.

How to Use in IA

• Reference this research when discussing the importance of accessibility in digital design projects.
• Use the framework's components as inspiration for features in your own design project.

Examiner Tips

• Demonstrate an understanding of universal design principles and how they can be applied to digital products.
• Show how your design addresses the needs of diverse user groups.

Independent Variable: ["Implementation of an Inclusive Intelligent Learning Management System Framework (features like WCAG compliance checks, student profiling, predictive analytics, recommender systems)."]

Dependent Variable: ["Level of accessibility of pedagogic content.","Effectiveness of online and presential class delivery for students with disabilities.","Student engagement and risk of failing classes.","User satisfaction with the learning management system."]

Controlled Variables: ["Type of higher education institution.","Specific disabilities of students.","Existing digital accessibility policies and resources within institutions.","Pedagogic approaches used by professors."]

Strengths

• Addresses a significant and often overlooked area of digital design: accessibility for students with disabilities.
• Proposes a comprehensive, integrated framework rather than isolated solutions.
• Utilizes a robust research methodology combining literature review and expert validation.

Critical Questions

• How can the 'intelligence' of the system be designed to be truly supportive and not intrusive for students?
• What are the ethical considerations when using predictive models to identify students at risk of failing?

Extended Essay Application

• Investigate the effectiveness of specific AI components (e.g., recommender systems) within an accessible learning platform for different learning styles.
• Develop and test a prototype of an accessible digital learning tool for a specific subject area, incorporating principles from this framework.

Source

Inclusive Intelligent Learning Management System Framework · International Journal of Automation and Smart Technology · 2023 · 10.5875/ausmt.v13i1.2423