Educational data mining (EDM) has emerged as an influential discipline that utilises sophisticated algorithms and machine learning techniques to translate complex educational data into practical ...

This review examines recent advancements in personalized educational data mining across four key areas: educational recommendation, cognitive diagnosis, knowledge tracing, and learning analysis.

Against the backdrop of the 2025 G7 summit calling for increased green energy investment and the promotion of sustainable development of the digital ...

Metaplanet overtakes Cleanspark to become 5th largest corporate BTC holder after $108 million buy, plans to purchase more ...

Relying on educational big data, data mining or learning analytics will teach you to leverage big data and use critical quantitative methods harnessed for educational equity. We aim to develop you as ...

Data Quality Issues: The effectiveness of data mining heavily depends on the quality of the data being analyzed. Incomplete, inaccurate, or ambiguous data can lead to misleading results.

BJMINING is a UK-registered enterprise, operating in accordance with international regulatory standards such as ESG. It uses ...

It is a privilege to have received the opportunity to give the first distinguished lecture at Karl Kumm University at Vom under the leadership of Professor Audu Nanven Gambo. It was such an exciting ...

Three professors use data science to tackle educational inequities for minority students. JULY 28, 2021 — Three UTSA professors across disciplines are working together on a project to increase ...