Advancements in the technology, such as machine learning, can help educators address common classroom challenges instead of concerns that artificial intelligence (AI) may someday replace teachers.
A powerful demonstration of the value of teachers and the limited role that computer-based learning programs play in the educational process was the teachers’ strike in Los Angeles. While students expressed how much they wanted their teachers back in the classroom, their sentiments were exactly echoed by principals and Los Angeles Unified School District leaders.
Differentiating instruction, giving students timely feedback on their writing, and identifying students who might not be on track for graduation are some of the challenges included. For example, intelligent tutoring systems can help students practising rule-based content like facts, methods, operations and procedures. However, they are less appropriate for “difficult-to-assess” skills like critical thinking, communication and collaboration.
While still controversial, automated essay scoring can provide feedback on conventions such as grammar and sentence quality. As they improve, early warning systems can more accurately identify students who might be at risk of falling behind. The most prevalent use cases will continue to be blended forms of instruction, in which the use of AI applications is integrated into teacher-led instruction and classroom activities.
AI’s overall influence on instruction and learning will likely be modest relative to its influence in other fields.