Using Teaching And Learning Resources More Efficiently

The targeted application of new technologies bears great potential —not only to make teaching and learning more inclusive and student-centered but also more efficient. Efficiency in this sense implies harnessing resources in a way that caters to the individual learning needs and pace of all students and ensuring the best possible learning progress with a strong emphasis on the role of teachers and trainers.

The scenario “Using Teaching And Learning Resources More Efficiently” provides insights into how technological approaches can enhance the teaching process and be utilized to make teaching more responsive to the individual needs of a heterogeneous student body.

One important aspect of efficiency in teaching and learning revolves around the question of how to determine the learning progress of students and how to adapt teaching to the learning progress. To name just a few, technologies such as Automatic Essay Scoring can automatize the correction and scoring system of written homework assignments and especially essays through a machine-learning algorithm. Besides time-saving, this ensures a more objective and equitable assessment method of the students’ work. In a similar sense, the AI Mentorship Software automatically suggests learning content based on the profile or needs of the students, helping teachers to structure their teaching more efficiently.

In many education systems, catering to the individual progress of learners with disabilities and other special needs is still an issue that many teachers are struggling with due to limited time or training. Natural Language Processing (NLP) can reduce the need for written communication and provide opportunities for teaching students who are illiterate or come from different linguistic backgrounds. Combined with Chat UI, commonly known as chatbots, could also help make teaching and mentoring processes even more efficient. They can even be utilized as an assistant to teachers as it was  successfully piloted by a Georgia Tech professor.

Similarly, a Talking Book, such as the one developed by Amplio, offers another approach to children or illiterate learners by providing mediated exchanges that are actionable and comprehensive of dialects, making the process more organic and genuine to the student. Additionally, solutions such as Emotion-based Interactive Storytelling use AI to predict future emotional responses and generate storytelling experiences that support the teacher to grasp the learners' attention on a dynamic curve of interactions. Location-based Learning, on the other hand, can be used to offer adapted content to students depending on the specific location that the learner is from, thereby providing the opportunity to learn content aligned with their linguistic and cultural needs without additional effort by the teacher.

Likewise, operational systems such as AI Therapist can help teachers and schools to offer counseling and especially psychosocial services to their students, which is becoming an increasingly important aspect in many education systems, especially in contexts that are characterized by fragility and forced displacement.