Batch-Stream Fusion in Education: TAL’s Real-Time Data Platform Practices

This article, presented by senior data platform engineer Mao Xiangyi of TAL Education, details the design and implementation of the company’s real‑time T‑Streaming platform, covering its three‑layer data architecture, batch‑stream integration techniques, ODS layer real‑timeization, Flink SQL development workflow, hybrid‑cloud deployment, and a case study of K‑12 renewal reporting.

Batch-Stream IntegrationEducation AnalyticsFlink

0 likes · 18 min read

Batch-Stream Fusion in Education: TAL’s Real-Time Data Platform Practices

Xueersi Online School Tech Team

Mar 13, 2020 · Artificial Intelligence

Predictive Modeling of Student Renewal and Refund Intentions Using Logistic Regression in Online Education

This article describes how logistic regression models are built, iterated, and applied to predict student renewal and refund behavior in an online school, detailing data collection, feature engineering, model training, evaluation, and how the predictions are used to recommend interventions for teachers.

Education Analyticsfeature engineeringlogistic regression

0 likes · 9 min read

Predictive Modeling of Student Renewal and Refund Intentions Using Logistic Regression in Online Education

UCloud Tech

Oct 11, 2019 · Big Data

Real‑Time Student Performance Analytics with Flink and Spark

This article demonstrates how to build a real‑time education analytics system by streaming answer data through Kafka into Flink or Spark, performing per‑question, per‑grade, and per‑subject aggregations, and optionally accelerating development with UFlink SQL.

Education AnalyticsFlinkKafka

0 likes · 17 min read

Real‑Time Student Performance Analytics with Flink and Spark