ARTIFICIAL INTELLIGENCE VERSUS HUMAN TALENTS IN LEARNING PROCESS

Journal Title: Problems of Education in the 21st Century - Year 2011, Vol 37, Issue 1

Abstract

To highlight the differences between conventional educational systems and CBLS - computer based learning systems. It is useful to consider CBLS, as the class of a system most closely related to artificial intelligence - AI. In such a system, the ultimate goal is to create a virtual duplicate of reality for learning, analysis, training, experimentation, or other purposes. Simulating reality is an approach that may or may not be useful at creating experience. This distinction yield several consequences. In CBLS, behaviour should be as realistic as possible, the representation of environment tends to be uniform and consistent and allowing users to act freely within that environment. To teach users through realistic experience CBLS design techniques can make the experience much more memorable. In such an environment the context and control afforded by design techniques allow the integration of technologies and evaluation of the overall experience. Perhaps it is time to take lessons of CBLS and AI in a learning design and teaching tools seriously. At the beginning we will point out one simple question: could the ideas, methodology and techniques of AI also be applied to a development of relatively serious mind applications and can they substitute human teachers? And the answer will be continued in our paper.

Authors and Affiliations

Janez Bregant, Boris Aberšek

Keywords

Related Articles

MIND THE GAP – THE IMPORTANCE OF REFLECTING ON DIFFERENT NOTIONS OF LEARNING AND KNOWLEDGE WITHIN AND BETWEEN COGNITIVE AND EDUCATIONAL SCIENCES

Cognitive and educational sciences share a fundamental interest in learning. While theoretical bases and practical interests seem to match well at first sight, it is well worth to take a closer look. In the different dis...

DEVELOPING A SCIENTIFIC CREATIVITY TEST FOR FIFTH GRADERS

Testing creativity in general has been well researched, but little has been reported on the development of instruments to test scientific creativity among primary school students. This study describes the development and...

SPATIAL ABILITY, 3D MODELING AND STYLES OF THINKING IN RELATION TO BRAIN HEMISPHERE DOMINANCE

The progress of neuroscience and the understanding of children's styles of thinking are opening up new teaching styles that take into account differences in individual cognitive perception. Students can be classified int...

'TEACHING TO THE HALO-EFFECT': SOCIAL JUSTICE ISSUES AMONG TRAINEE-TEACHERS AT ONE TEACHER TRAINING INSTITUTION IN JAMAICA

Social Justice themes have dominated education discourses over the decade of the 2000s with ideas ranging from equality in terms of gender, access to resources, teacher quality and the quality of students. These debates...

THE “SCHOOL. MY CHANCE!” PROJECT – A CASE STUDY FOR PREVENTING PUPILS’ SCHOOL DROPOUT IN ROMANIA

Pupils’ school dropout could be defined as an early and final abandonment of school before graduation, which prevents the pupil from registering in the following stage of education, losing in this way the possibility of...

Download PDF file
  • EP ID EP472361
  • DOI -
  • Views 100
  • Downloads 0

How To Cite

Janez Bregant, Boris Aberšek (2011). ARTIFICIAL INTELLIGENCE VERSUS HUMAN TALENTS IN LEARNING PROCESS. Problems of Education in the 21st Century, 37(1), 38-47. https://europub.co.uk/articles/-A-472361