Content area
The accelerated degradation of soil resources represents one of the most pressing global challenges of the 21st century, requiring a rapid and well-founded response from society. In this context, the professional training of specialists capable of efficiently and innovatively addressing complex problems related to soil pollution becomes a strategic priority. As such, the present research aims to analyze and argue the implications and valences of Computer-Assisted Instruction (CAI) as a modern and indispensable pedagogical solution in the training of these specialists. The motivation for this scientific approach stems from the need to adapt educational methods to the rapid evolution of remediation technologies and the increasing complexity of pollution scenarios. By integrating CAI, the radical transformation of the learning process aims to shift from a passive model (based on the transmission of information) to an active, interactive one tailored to individual needs. Digital technologies (computer simulations, virtual reality, and elearning platforms) offer the opportunity to reproduce pollution scenarios in controlled environments, to practice remedial interventions without risks, and to assimilate cutting-edge knowledge. At the same time, CAI is not only a content delivery tool, but a skills development platform essential to prepare a new generation of specialists capable of acting effectively in the face of ecological emergencies. This article demonstrates that the digitalization of the educational process in the field is a requirement for efficiency and sustainability, contributing decisively to the protection of the environment and natural resources.
Details
Pedagogy;
Bioremediation;
Environmental education;
Collaboration;
Computer assisted instruction--CAI;
Computers;
Training;
Natural resources;
Computer applications;
Soil remediation;
Environmental impact;
Digital computers;
Virtual reality;
Soil pollution;
Soil degradation;
Soil;
Case studies;
Simulation;
Environmental protection;
Personal computers;
Education;
Online instruction;
Access to information;
Skill development;
Complexity;
Digitization;
Mathematical models;
Learning;
Digital technology;
Pollution
1 Technical University of Cluj-Napoca - North University Centre of Baia Mare, Faculty of Letters, Department of Specialty with Psychopedagogical Profile, 76 Victoriei Str., 430083, Baia Mare, Romania
2 Technical University of Cluj-Napoca - North University Centre of Baia Mare, Faculty of Engineering - Department of Mineral Resources, Materials and Environmental Engineering, 62A Victor Babeș Str., 430083, Baia Mare, Romania