How Learning Analytics Can Help Orchestration of Formative Assessment? Data-Driven Recommendations for Technology- Enhanced Learning-Reference-Cited by-同舟云学术

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How Learning Analytics Can Help Orchestration of Formative Assessment? Data-Driven Recommendations for Technology- Enhanced Learning

Published:2023-10 Issue:5 Volume:16 Page:804-819
ISSN:1939-1382
Container-title:IEEE Transactions on Learning Technologies
language:
Short-container-title:IEEE Trans. Learning Technol.

Author:

Andriamiseza Rialy¹^ORCID,Silvestre Franck²^ORCID,Parmentier Jean-François³^ORCID,Broisin Julien¹^ORCID

Affiliation:

1. Institut de Recherche en Informatique de Toulouse, Université Toulouse 3 Paul Sabatier, Toulouse, France

2. Institut de Recherche en Informatique de Toulouse, Université Toulouse 1 Capitole, Toulouse, France

3. Institut de Recherche en Informatique de Toulouse, Institut Polytechnique des Sciences Avancées, Toulouse, France

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,General Engineering,Education

Link

http://xplorestaging.ieee.org/ielx7/4620076/10287010/10097630.pdf?arnumber=10097630

Reference59 articles.

1. Interactive Online Practical Histology Using the Poll Everywhere Audience Response System: An Experience During the COVID-19 Lockdown

2. Not all interactive engagement is the same: Variations in physics professors’ implementation ofPeer Instruction

3. Formative Assessment: Assessment Is for Self-regulated Learning

4. Why Does Peer Instruction Benefit Student Learning?

5. Peer Instruction: Ten years of experience and results

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Effective Learning Management System for Revealing Student Performance Attributes;2024 International Conference on Computer, Information and Telecommunication Systems (CITS);2024-07-17

2. Design and implementation of an AI‐enabled visual report tool as formative assessment to promote learning achievement and self‐regulated learning: An experimental study;British Journal of Educational Technology;2024-01-09

3. Quad-Faceted Feature-Based Graph Network for Domain-Agnostic Text Classification to Enhance Learning Effectiveness;IEEE Transactions on Computational Social Systems;2024

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