How Educators Use Artificial Intelligence to Add Instructional Value

We live in a society where value-added products affect our buying decisions. Many consumers want to know they are getting the most for their time and effort.

The same is true in education. Parents clamor over the chance to place their kids in value-added classrooms. They want to know that their kid is getting the best education possible. 

Value-added modeling has been a part of educator performance reviews for decades. It’s often met with skepticism because of the bias regarding how value is calculated. The fact is that parents want academic value for their kids. They should; academic performance and growth matters. 

The difficulty lies in providing value-added instruction for every kid in the classroom. Artificial intelligence is the only way to provide the rich quality of instruction that parents expect and learners deserve. 

Artificial intelligence in the classroom adds value to the overall quality of instruction. It adds this value in two ways. 

Personalized Academic Help

Your kid’s school has armed its educators with two important tools: a curriculum and a timeline. The goal is to instruct every kid, providing at least one year of academic value, regardless of where they are in the learning continuum. Educators have nine or ten months to make it happen.

To do this, the educator must customize lessons for every kid in the classroom, including yours. The only way to scale such customized instruction is through artificial intelligence.

Instructional programs that can adapt on their own in response to learner needs are adaptive. They are already in place in most schools. Assignments increase in rigor as learners move forward in the curriculum. Lessons become recursive if learners need additional teaching. You may be amazed to know that AI even grades papers, including the composition your kid wrote.

Artificial intelligence makes determinations about instruction and grading on its own. It allows the educator to evaluate data analytics (the info every learner produces about their learning progression). 

Advanced Behavior Analysis 

As learners engage in simulated learning and gamification, AI develops analytics that determines how behavior affects learning.  Game analytics predict how time on task, answer validations, and even at-risk indicators can affect value outcomes. 

Universities have been using AI analytics regarding behavior. The data tells them when to intervene before their learners become dropouts. As a result, enrollment has increased, and grades have improved.

What AI Won’t Do for your Kid

You may be wondering what the educator does if artificial intelligence is instructing, grading, adjusting, and monitoring. Educators make any final decisions regarding instruction, behavior, or other support their learners need. 

The educator is the human element in the classroom. This adult serves as your child’s cheerleader, role model, caretaker, inspiration, and empath. Educators coach, guide, encourage and validate. Artificial intelligence cannot do those things.

Educators add value to the academic experience in ways that artificial intelligence will never be able to do.

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