Andrew F. Barrett – författare
Visar alla böcker från författaren Andrew F. Barrett. Handla med fri frakt och snabb leverans.
4 produkter
Innovative Learning Analytics for Evaluating Instruction
A Big Data Roadmap to Effective Online Learning
Av Andrew F. Barrett, Cesur Dagli m. fl.
E-bok, 2021
354 kr
Lägg i varukorg
Innovative Learning Analytics for Evaluating Instruction covers the application of a forward-thinking research methodology that uses big data to evaluate the effectiveness of online instruction. Analysis of Patterns in Time (APT) is a practical analytic approach that finds meaningful patterns in …
Innovative Learning Analytics for Evaluating Instruction
A Big Data Roadmap to Effective Online Learning
Av Andrew F. Barrett, Cesur Dagli m. fl.
E-bok, 2021
342 kr
Lägg i varukorg
Innovative Learning Analytics for Evaluating Instruction covers the application of a forward-thinking research methodology that uses big data to evaluate the effectiveness of online instruction. Analysis of Patterns in Time (APT) is a practical analytic approach that finds meaningful patterns in …
Innovative Learning Analytics for Evaluating Instruction
A Big Data Roadmap to Effective Online Learning
Av Theodore W. Frick, Rodney D. Myers m. fl.
Inbunden, 2021
968 kr
Lägg i varukorg
Innovative Learning Analytics for Evaluating Instruction covers the application of a forward-thinking research methodology that uses big data to evaluate the effectiveness of online instruction. Analysis of Patterns in Time (APT) is a practical analytic approach that finds meaningful patterns in …
Innovative Learning Analytics for Evaluating Instruction
A Big Data Roadmap to Effective Online Learning
Av Theodore W. Frick, Rodney D. Myers m. fl.
Häftad, 2024
304 kr
Lägg i varukorg
Innovative Learning Analytics for Evaluating Instruction covers the application of a forward-thinking research methodology that uses big data to evaluate the effectiveness of online instruction. Analysis of Patterns in Time (APT) is a practical analytic approach that finds meaningful patterns in …
