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Forecasting student achievement in MOOCs with natural language processing

Carly D. Robinson, Michael Yeomans, Justin Reich, Chris S. Hulleman et al. • International Conference on Learning Analytics and Knowledge (LAK) (2016)

Student intention and motivation are among the strongest predictors of persistence and completion in Massive Open Online Courses (MOOCs), but these factors are typically measured through fixed-response items that constrain student expressio...

OPENALEX DOI: https://doi.org/10.1145/2883851.2883932

A Deep Dive into a Groundbreaking Approach to Machine Learning-Powered E-Learning

Subhabrata Sengupta, Rupayan Das, Satyajit Chakrabarti • Emitter: International Journal of Engineering Technology (2024)

Information retrieval aims to find the most important data for specific queries. The challenge is retrieving relevant data efficiently due to the large search area. Existing solutions lead to unnecessary processing costs. Additionally, iden...

DOAJ Open Access (DOAJ) DOI: 10.24003/emitter.v12i2.855