AI SAAS May 23, 2023 Comments 07
Nowadays, digitizing education is a trend since countless educational institutions across the world are adopting this technology to improve the learning experience. Education is one of the most prominent fields in which artificial intelligence has impacted, starting with its improvement of the education process and its positive impact on education stakeholders, including teachers, students, and parents.
Education stakeholders can experience digitalized education through electronic platforms referred to as E-Learning Management Systems. E-Learning Management Systems, or LMS, is an electronic platform via the internet that handles all aspects of the learning process. LMS platforms are commonly used in universities. Recently, schools started to adopt LMS platforms.
There are diverse applications of integrating AI with the education e-learning process. The following points describe several practical applications:
Personalized learning is an educational approach that customizes educational material to meet each student’s unique needs, interests, and learning styles. Teachers can implement personalized learning plans using Machine Learning-based methods like student choice in learning and self-paced learning. Recorded data of the student is a golden resource for improvement. More informed decisions can be made about the curriculum by analyzing student data. Based on the results of analyzing individual learner needs, more personalized and effective educational content can be created. Data-driven decision-making can be followed in assessment cases. For example, if the student is graded highly most of the time, the system automatically increases the difficulty level of the next quiz to improve their capabilities. Conversely, if the student is graded lower most of the time, the system automatically recommends related educational materials to improve their weaknesses. This approach leads to better outcomes for students, teachers, and educational institutions.
AI-based models can be utilized to schedule and organize tasks based on data provided by the institution. This saves time and effort. Stakeholders can use machine learning-based models to predict schedules based on previous schedules, teacher availability, student availability, and learning goals. These models can create and compare multiple scenarios to propose the optimal one for the learning goal.
Exams usually consume time to prepare and grade. However, when the educational institute employs AI for the educational development process, educational material can be uploaded, so exams are created more quickly. The assessment process also consumes considerable time and effort, with a higher probability of error. AI-powered systems can complete the task in minutes with a lower probability of error.
Plagiarism is a major threat to academics and must be suitably addressed to ensure integrity and authenticity. With advancements in Natural Language Processing (NLP), machine learning models can be used to observe plagiarism. NLP can detect plagiarism hidden within articles using complex algorithms and language models trained on semantic analysis, lexical analysis, and syntactic analysis.
AI-powered systems designed to be available 24/7 can answer student inquiries in an automated and intelligent way that emulates human speech behavior and maintains the flow of dialogue.
Protecting user data is one of the main challenges of using data-driven and AI-powered technologies.
AI technologies require significant investment of time, effort, and financial resources.
The replacement of human teachers with AI-based teaching technologies could lead to job losses. However, it’s important to note that human teachers and AI technologies can complement each other. Intelligent technologies are developed to assist in the improvement process. Human resources are irreplaceable, especially in the education field. AI technologies assist teachers in providing a better education experience.
In conclusion, Artificial Intelligence technologies have the potential to revolutionize the education experience by personalizing learning content, analyzing student data, and tracking student progress. Intelligent technologies assist teachers and students in improving the education experience.
