Utilizing Natural Language Processing (NLP) to Evaluate Engagement in Project-Based Learning


In a time of rapid development, 21st century learning emphasizes innovative thinking and making. This has heightened interest in STEAM subjects and its implementation in traditional classrooms through project-based learning (PBL). However, assessment is difficult for open-ended, PBL activities. This work-in-progress study utilizes natural language processing (NLP) tools to analyze content produced in a middle-school media arts classroom. The authors examine student engagement and excitement along dimensions of tone and authenticity. We discuss the results of NLP vis-a-vis feedback that 1) determines student engagement and excitement and 2) improves the implementation and display of project-based learning in traditional classrooms.



Software And Hardware

• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL