According to research firm Gartner, 37% of companies now have 'AI in some way implemented,' and adoption grows by 270% over the past four years. A “US Education Sector Artificial Intelligence Market 2018-2022" study of Technavio expects a growth rate of almost 48 percent for AI tools over the next three years.
What is the challenge? Separation of market interest from real effects. As the MIT Technology Review points out, the rapid development and utilization of AI solutions have created an environment in which companies are able to "fascinate and exaggerate" AI capabilities, even as organizations, to introduce new solutions and keep up with the competition. Specificity is the secret to AI performance. It is important to define key AI resources that can resolve and fix shortcomings. This particularly applies to K-12 institutions with limited time and budgets.
Popular K–12 classrooms AI Solutions
There is no rulebook on artificial intelligence deployment in schools. While IBM's Watson Education and Google's recently announced Google Cloud Storage and AI program provides schools with the ability to provide personalized training approaches and predictive insights into the success of these devices. Many of the most common issues related to human bias and overall precision. As RAND senior policy analyst Robert Murphy says in an article for Education Week, "maybe 10%, 20%, 40% of the time [the system] gets it wrong," making AI an outstanding support resource in classrooms, not a replacement for teachers.
As Education Technology has pointed out, the growing use of AI in schools also illustrates ethical concerns. Organizations now need to consider what type of information is being collected, how it is being used, and which controls are in place to protect the privacy of students. Administrators are also concerned about the effect of rising AI adoption on human capital. The best bet for schools that use AI is to decide if such technologies will lead to successful results before they can access student information. Active AI in education can be grouped into five general roles although each use can vary:
Automating Processes: The simplest implementation of AI also offers the most immediate benefit: educators may maximize the time spent actively communicating with students by automating easy tasks such as testing, digital categorization or scheduling.
Integrating Processes: AI systems can be incorporated with other IT projects such as smart technologies and IoT networks to provide students with customized learning solutions.
Adjusting Processes: Technology is now an important part of education and industry. Recent Pew Research shows that 95% of teens have access to a smartphone and 45% are "almost always online." AI in schools will help students acclimatize to the pace of technological change.
Visualizing Processes: The interests and learning expectations of students continually shift, making it hard for educators to ensure that the content they offer remains important and feasible. AI-driven educational analysis can help identify critical trends and identify key indicators to enable teachers to design the most efficient teaching experience and to promote digital transformation.
Identifying Processes: Data analytics driven by adaptive AI systems will help identify crucial areas for the success of students and teachers. AI will help identify and solve potential problems in its formative stages, in conjunction with rigorous protection and access controls.
How and which tools are currently being used in schools
Throughout Florida's Putnam County School District educators use advanced content management tools to both simplify the search process and provide essential context for flagging demands.
And in New Jersey, Slackwood Elementary School uses an AI assistant named Happy Numbers to help students figure out where mathematical metrics are failing and provide customized support.
Solutions like the Presentation Translator— a free PowerPoint app — ensure that multilingual under titles are incorporated in real-time to fully understand class instructions and/or provide remote access for people struggling with illness or other family issues.
Another popular tool which highly uses AI as part of its lesson preparation is, Edmodo Classroom. It incorporates an AI teaching assistant which enables teachers to take a more relaxed approach towards teaching in a classroom.
Simply put, the new AI environment in schools is a pause of hope. Although technology is quickly moving forward, educators are taking a step-by-step approach to ensure that approaches to address current needs produce realistic outcomes.
How is the future of AI in online learning
Although artificial intelligence solutions are still closer to replicating the fundamentals of authentic human thought patterns, what does education have? In general, the next steps in school for AI take three main forms:
Performance personalization: Increased computing capacity and sophistication can allow AI systems to gather and extrapolate information better, in effect helps educators develop customized learning plans for increasing student. New solutions such as Brightspace Insights are designed to capture, collect and analyze data from multiple sources, enabling teachers to gain insight for students "by using the whole ecosystem of learning instruments", according to Nick Oddson, senior product development vice president for D2L, who created Brightspace. Brightspace.
Eliminating biases: Human bias continues to be a stumbling block in education and is also an emerging concern about AI tools, as noted above. For classrooms, the future of AI will use applications capable of graduating papers and assessing assessments using existing rubrics and metrics both to automate and eradicate bias.
Assistance for aggregation: Educators are usually masters in their crafts; many possess many degrees and are also trained in particular areas of student growth and performance. The problem is that administrative work sometimes frustrates the attempts of teachers to interact with students. The future of intelligence in the classroom takes the form of AI-controlled assistants who provide vital knowledge to help teachers do what they do best, namely interact with students.
The critical need for schools to balance AI Security effectively
AI has reached a turning point in education. Adoption is growing, but concerns relating to bias, privacy and relationships with human machines need a methodical and calculated approach.
Current applications leverage machine learning and real-time data integration, but the future of AI depends on wider applications that can adapt practical intelligence to facilitate critical and emotional relationships that drive student performance.