<![CDATA[General Background The Fourth Industrial Revolution introduces automation and generative systems into daily life, yet many teaching practitioners lack digital readiness. Specific Background In Indonesia, approximately sixty percent of educators possess low technology mastery, a demographic heavily represented by primary school instructors who struggle with overwhelming information organization. Knowledge Gap Despite the widespread accessibility of generative text models like ChatGPT, systematic literature reviews exploring their specific organizational utility for early schooling preparation remain underexplored. Aims This study analyzes the functional implementation of intelligent digital systems for preparing elementary pedagogical strategies and minimizing instructional workloads. Results Findings indicate that conversational algorithms significantly streamline student record integration, automate assessment grading, provide rapid individual feedback, and generate customized curricular materials. Furthermore, algorithmic processing minimizes non-instructional clerical duties, allowing instructors to focus on personalized student interaction. Novelty This research explicitly maps the procedural transitions from manual to algorithm-assisted organizational workflows within primary instructional environments, framing machine learning as a supportive pedagogical tool rather than a human replacement. Implications Integrating conversational algorithms into academic preparation frameworks offers a pragmatic solution for under-equipped practitioners, transforming traditional instructional design into a highly responsive, data-driven, and individualized instructional process. Highlights: Algorithmic systems streamline student record integration and significantly reduce non-instructional clerical burdens. Conversational platforms facilitate individualized pedagogical adaptation alongside rapid and automated assessment feedback. Machine learning models assist instructors in designing responsive curricula through advanced pattern recognition. Keywords: Generative Pretraining Transformer, Systematic Literature Review, Pedagogical Adaptation, Teacher Administration, Automated Assessment]]>
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