How to Utilize AI to Detect Educational Disparities Among Marginalized and Differently Abled Learners

Education can only be successful if each individual learner has the same chance to achieve success. A variety of barriers to learning exist for many students around the world, especially for students from marginalized backgrounds and students with disabilities. Limiting factors can be in the areas of resources, language, physical ability/disability, and more. Barriers to learning can lead to learning gaps, situations in which students do not meet the expected academic level for their age group in a given subject area. The larger the gap in knowledge, the more it can negatively affect the learner’s self-image, academic advancement, and future options.

New technology, particularly Artificial Intelligence (AI), is helping educators to identify and close learning gaps. AI can provide data driven analysis, identify behavioral trends of students, and help personalize learning experiences.

This paper presents a case for AI technology to aid in the creation of more inclusive learning environments to help identify gaps in learning for marginalized and differently-abled learners.

The Learning Gaps Challenge in Education

Learning gaps occur when students fail to master certain learning goals while their peers continue to master those goals. Learning gaps can occur in any area of learning, including reading, math, writing, problem-solving, and language.

The learning gaps challenges that students can experience can be caused by any of the following:

• Lack of high-quality educational materials

• Varied learning and thinking styles

• Limited English proficiency

• Socioeconomic challenges.

• Learning disabilities that have not been recognized

• Insufficient scaffolding

Barriers to learning may be exacerbated for students with disabilities or students from marginalized communities. Because teaching in large classrooms is often a one-size-fits-all approach, many difficulties go undetected, especially when there is little time for individualized instruction. Large classrooms also limit the teacher’s time.

Learning patterns and the types of support that can be provided to students can be analyzed by AI.

The Role of AI Technology in Education

Education that is inclusive seeks to support learning for all students, regardless of their background, ability, or circumstance. Education can be made more inclusive by AI. It provides a personalized, flexible, and responsive approach to learning.

Unlike traditional educational systems that base evaluations on standardized testing and assessments, AI systems evaluate learning on an ongoing basis. Because of this, educators can analyze learning and provide supports before students significantly fall behind.

AI can enhance accessibility and easier use of learning materials. For instance, students having writing challenges can benefit from speech-to-text applications and students encountering challenges with reading can use text-to-speech applications.

With AI and teachers working together, schools can build learning spaces to meet students’ individual requirements.

How AI Can Determine Learning Gaps

AI’s primary function is to recognize patterns in large sets of data, which in education, includes data from quizzes, assignments, online learning systems, and student participation in class. There are numerous AI applications that are effective in determining learning gaps.

1. Learning Analytics Learning analytics refers to employing data analysis techniques for comprehending educational content usage patterns. For instance, an AI system could track: -Time spent on a lesson

• Incorrectly answered questions -Repeated review of topics -Assignment completion

The system uses this data to identify potential learning gaps based on the subject area that the student is having repeated challenges with. Teachers have to analyze the learning analytics data to fill in the gaps and help the students.

2. Adaptive Learning Platforms Adaptive learning platforms are designed to adjust the difficulty and structure of lessons based on a student’s prior performance.When students respond to questions correctly, the platform may offer new, more difficult material. If the student is having difficulty, the platform may offer simplified explanations, more examples, or additional practice.

This method helps the platform pin point exactly what part of a student’s understanding falls short.

Adaptive platforms can also alter the content of students with disabilities or learning differences. For example, students who learn better with visuals may receive more diagrams, and for students who learn better with auditory explanations, more spoken explanations may be provided.

3. Intelligent Tutoring Systems

Intelligent tutoring systems function as digital tutors, providing step-by-step assistance with lessons.

They analyze students’ responses and give feedback in real-time. When a student answers a question incorrectly, these systems can identify the mistake and recommend different approaches.

The system documents improves a significantly accurately, over time, identifying the student’s most frequent mistakes and gaps in the understanding. This information is valuable to educators in identifying what concepts they need to re-teach.

Intelligent tutoring systems also allows educators to provide individualized attention and support students better without taking over or replacing teacher’s roles.

4. Tools for Natural Language Processing

Natural Language Processing (NLP) is a field of artificial intelligence that focuses on making computers understand human languages.

In education, NLP tools have the potential to evaluate written essays, written answers, or spoken answers. Such tools assist in identifying: \n\n- limitations with vocabulary \n- difficulties with grammar \n- challenges with reading comprehension \n- issues with the fluency of language \n- problems with the comprehension of language \n\nFor learners with second language learning challenges, or communication disorders, NLP tools can assist in identifying areas requiring supplementary intervention. \n\n5. Automated Assessment Tools Based Upon AI \n\nConventional assessments provide, at most, insights into the cognitive processes of the students. Assessment based upon AI provides richer information by focusing on the students’ processes used to derive the answers. \n\nFor instance, an AI based assessment can evaluate the: \n\n- processes employed to arrive at the solution of a given mathematical equation \n- reasonings in the form of written narratives \n- specific type of mistakes committed by students repeatedly \n\nSuch an analysis provides specific insights to the teachers to uncover the conceptual errors instead of merely giving answers as correct or incorrect. \n\nUse of AI to Support Students with Disabilities \n\nImplementation of AI to support students with disabilities can also include the analysis of their activities with the learning material, to determine specific areas of their needs.

Such as, in an AI based assessment, the teacher can determine the: \n- reading speed, \n- comprehension, \n- pattern of attention during the lesson, \n- the time taken to give an answer in a test, \n- the degree of engagement with the digital learning tool. \n\nThese can assist the teachers in identifying the challenges of reading, attention, and processing, when they exist.

Improvements in user engagement can be driven by AI-Accessibility features such as:

• Speech Recognition
• Text-To-Speech
• Automatic Closed Captioning
• Video- Captioning
• Visual Learning Aids

Combining detection and accessibility AI will help increase inclusivity in classrooms for learners of all abilities.

Supporting Emerging and Underserved Students

AI has the potential to help Emerging and Underserved Students succeed by removing academic performance inhibitors and supporting potential under-performers.

Emerging and Underserved students commonly face academic performance inhibitors, including:

AI has the ability to exam to identify these

• Engaging / valid participation
• Attendance
• Use rate of online learning resources
• Completion of assigned work
• Progress indicator (performance )
• Academic Decline

AI has the ability to identify and assess activity level, as well as decline level; instructors have the ability to assess prior performance.

Educators have the ability to intervene earlier than the students’ decline level; they can assess prior performance.

The educational performance of students has the ability to improve inclusively by the educational performance supporting students in understanding learning in a preferred language.

Schools need to have a strategy to effectively use Artificial Intelligence to identify learning gaps within the given standards.

• Obtain Learning Data
• Use of Digital Learning Platforms
• Assignments
• Testing
• Data Compilation of Classroom Activities

The AI system will provide the educational data to identify the learning gaps.

The data should be within the given standards of available parameters.

The AI should be inclusive by utilizing the data to the system and using the available to minimize and gain fairness and bias in the system.

Train Educators to Apply AI Insights

Educators need to learn how to make AI reports actionable in the classroom.

Merge AI and Human Interaction

AI should only enhance the work of teachers, not take over their jobs. Educators are the only ones who appreciate the complexities of the psychosocial phenomena of learning.

The Responsible Use of AI in Education

When used responsibly, AI has many positive facets.

Identifying Issues at an Early Stage

AI has the ability to signal potential learning issues before they evolve into critical problems.

The Creation of Individualized Learning Paths

AI enables the creation of individualized learning plans to meet students’ diverse needs.

The Improvement of Teacher’s Work

AI lessens the burden of teachers having to do a lot of work in interpreting student performance, allowing them to fully dedicate their time to teaching.

The Improvement of the Learning Process

AI Assists in Learning by providing easier access to learning materials

Accessible and Inclusive Learning

AI Helps to offer the learning materials in a more accessible way to people with disabilities.

The Use of AI in Education Must Respect Certain Guidelines

The AI system makes it necessary to comply with certain ethical principles.

The Privacy of the Student Must Be Protected

It is necessary to ensure the privacy of students and to take appropriate measures to ensure their confidentiality.

AI Must Be Filtered

Algorithmic bias is a potential answer. The AI communication system should be free of bias against certain students.

Equal Access to AI

Underprivileged students should have the same access to AI as all other students.

Responsible use of AI can help promote equity instead of reinforcing existing inequities.

The Future of AI in Inclusive Learning

The field of AI continues to advance and develop quickly. Educational AI systems will likely be able to better understand individual students in the future.

The future of learning systems and AI may include:

Learning systems that can recognize and respond to frustration.

AI Tutors that can assist learners 24/7.

The use of advanced predictive analtyics to understand and respond to students prior to learning gaps occurring.

Learning systems that utilize AI, in conjunction with the Metaverse.

AI has the ability to enhance learning by providing more personalized learning and support.

Conclusion

With the use of AI learning gaps will be detected and addressed sooner than previously possible. Educators will be able to monitor and respond to academic difficulties earlier, as AI will be able to detect patterns within learning data.

For students who have been historically marginalized, and those that may have disabilities, the ability to detect and respond to learning gaps quickly will be vital as it will assist in improving access to learning and support.

AI must be used inclusively and as an assistive technology, with the primary focus being on AI tool use and AI data being supplemented with empathetic, creative, and experienced teaching.

AI can provide every student the chance to reach their full potential if the tool is used responsibly.