Teacher Empowerment through Artificial Intelligence-Based LMS Training for Deep Learning
Keywords:
Artificial Intelligence, community service, deep learning, digital competence, Learning Management SystemAbstract
The rapid advancement of digital technology requires teachers to develop competencies in utilizing innovative learning technologies to support student-centered instruction. However, the adoption of Learning Management Systems (LMS) and Artificial Intelligence (AI) in educational practice remains limited due to insufficient digital competencies among teachers. This community service program aimed to enhance teachers' digital competencies through AI-based LMS training to support the implementation of Deep Learning. The program was conducted through several stages, including preparation, partner coordination, material development, training implementation, mentoring, monitoring, and evaluation. The training combined lectures, demonstrations, hands-on practice, and continuous mentoring to strengthen participants' knowledge and practical skills in using AI-supported LMS platforms. Program effectiveness was evaluated using pretests, posttests, observations, and participant questionnaires. The results demonstrated a significant improvement in teachers' understanding and skills in managing digital classrooms, developing instructional materials, creating technology-supported assessments, and utilizing AI to generate learning content and provide feedback more efficiently. Furthermore, the mentoring phase increased teachers' confidence in integrating AI-based LMS into daily teaching practices. Overall, the program successfully strengthened teachers' digital competencies and promoted the implementation of deep learning through technology-enhanced instruction. These findings indicate that AI-based LMS training is an effective community empowerment strategy for supporting sustainable digital transformation and improving the quality of teaching and learning in schools.
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