Learning as a process is very innate to humankind. However, the mechanisms and culture of learning has evolved over thousands of years. After the rise of digital technology, the way we learn has changed drastically. As a designer, what can we learn from this learning evolution? How can we design tomorrow's learning environments?
The purpose of this paper is to study the evolution of Classroom Culture over time and understand the impact of technology on today’s teaching-learning process. The paper also explores the effects of technology on the cognitive processes involved during teaching and learning.Classrooms are much more than a place filled with a teacher and several students; it is the place where people come together to discuss some of the most profound and influential ideas, passed on by previous generations.In ancient times, the core values or teachings were manifested by the guru (teacher) himself and teaching-learning process was imbibed in their everyday routine. Over years, the role of guru was evolved and took the shape of the present time teacher, and the Gurukul lifestyle was replaced by the classroom culture. For past few decades, technology has played a major role in shaping the existing classroom environment. With the recent advancement in Artificial Intelligence (AI) and Natural Language Processing (NLP), technology is now able to understand the student potential and provide the necessary nudge to place them at the next level. These advancements are at the center of tomorrow’s classroom culture and it is constantly replacing several micro-processes which were earlier mastered and delivered by human-counterpart (teacher). These changes might seem trivial but it is accountable for the Systems-level change which is altering the fabric of the classroom culture.
The study can provide a deeper insight into designing tomorrow’s classrooms by mapping the evolution of Classroom Culture and its effect on the teaching-learning process.
Classroom Culture, Technology, Teaching-Learning Process, Cognitive Processes, Artificial Intelligence, Systems-level change, Evolution