Learning behaviours data in programming education: Community analysis and outcome prediction with cleaned data-Reference-Cited by-同舟云学术

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Learning behaviours data in programming education: Community analysis and outcome prediction with cleaned data

Published:2022-02 Issue: Volume:127 Page:42-55
ISSN:0167-739X
Container-title:Future Generation Computer Systems
language:en
Short-container-title:Future Generation Computer Systems

Author:

Mai Tai Tan^ORCID,Bezbradica Marija^ORCID,Crane Martin^ORCID

Funder

European Regional Development Fund

ADAPT - Centre for Digital Content Technology

Science Foundation Ireland

Irish Research Council

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference67 articles.

1. Failure rates in introductory programming: 12 years later;Bennedsen;ACM Inroads,2019

2. Quality issues of online distance learning;Markova;Procedia-Soc. Behav. Sci.,2017

3. Application of big data in education data mining and learning analytics–a literature review;Sin;ICTACT J. Soft Comput.,2015

4. Data mining in education;Romero;Wiley Interdiscip. Rev.: Data Min. Knowl. Discov.,2013

5. Identifying at-risk students for early interventions: A time-series clustering approach;Hung;IEEE Trans. Emerg. Top. Comput.,2015

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