A Review of Digital Learning Environments for Teaching Natural Language
  Processing in K-12 Education
Xiaoyi Tian Kristy Elizabeth Boyer
Natural Language Processing (NLP) plays a significant role in our daily lives
and has become an essential part of Artificial Intelligence (AI) education in
K-12. As children grow up with NLP-powered applications, it is crucial to
introduce NLP concepts to them, fostering their understanding of language
processing, language generation, and ethical implications of AI and NLP. This
paper presents a comprehensive review of digital learning environments for
teaching NLP in K-12. Specifically, it explores existing digital learning
tools, discusses how they support specific NLP tasks and procedures, and
investigates their explainability and evaluation results in educational
contexts. By examining the strengths and limitations of these tools, this
literature review sheds light on the current state of NLP learning tools in
K-12 education. It aims to guide future research efforts to refine existing
tools, develop new ones, and explore more effective and inclusive strategies
for integrating NLP into K-12 educational contexts.