1. Lack of Creativity
AI is good at generating content based on pre-existing data and rules, but it lacks the creativity and intuition of human developers. Developing learning resources requires creativity, innovation, and a deep understanding of the subject matter, which are skills that AI has not yet fully developed.
2. Limited Perspective
AI operates based on the data and rules it has been trained on, which may be limited in scope. This means that AI may not be able to consider certain factors that a human developer would, such as cultural nuances, ethical considerations, or subjective experiences. This may lead to the development of learning resources that are incomplete, inaccurate, or insensitive to certain groups of learners.
3. Unintended Consequences
AI is still a relatively new technology, and its long-term effects on learning and education are not yet fully understood. It is possible that unintended consequences may arise because of using AI to develop learning resources, such as reinforcing biases or perpetuating inequalities.
4. Importance of Human Touch
One of the strengths of traditional instructional design is the ability of human instructors to understand and respond to the needs of their students. While AI can personalize learning experiences based on data analysis, it lacks the emotional intelligence and empathy that human instructors possess. This may lead to a lack of connection and motivation for some students.
