ORCID Profile
0000-0001-6906-7578
Current Organisations
The Hong Kong Polytechnic University
,
Monash University
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
Publisher: IEEE
Date: 12-2020
DOI: 10.1109/ISPA-BDCLOUD-SOCIALCOM-SUSTAINCOM51426.2020.00185
Publisher: IEEE
Date: 12-2021
Publisher: IEEE
Date: 12-2019
Publisher: Springer Berlin Heidelberg
Date: 2007
Publisher: Springer International Publishing
Date: 2018
Publisher: Elsevier
Date: 2017
Publisher: American Scientific Publishers
Date: 11-2018
Publisher: Springer Science and Business Media LLC
Date: 11-2007
Publisher: Springer International Publishing
Date: 2014
Publisher: Inderscience Publishers
Date: 2008
Publisher: Springer Berlin Heidelberg
Date: 2012
Publisher: SciTePress - Science and and Technology Publications
Date: 2007
Publisher: IEEE
Date: 12-2017
Publisher: Wiley
Date: 09-02-2023
DOI: 10.1002/CAE.22610
Abstract: Building practical programming competency requires a long‐lasting journey of discovery, trial and error, learning and improvement. This article presents essential findings of a case study of a Python programming contest with an automatic judgement system for Competitive Programming training extending the learning experiences for students in an introductory course, computational thinking and problem‐solving. The benefits and challenges are discussed. Due to the coronavirus disease 2019 (COVID‐19) epidemic, a hybrid model of the contest was adopted, that is, some students participated in the contest on‐site, while others participated remotely. To alleviate human effort in judging the submissions, the DOMjudge platform, a web‐based automatic judgement system, has been deployed as an online automatic judgement system and contest management in competitive programming. The implementation roadmap and framework were provided. The contest problems and contestants' performances were discussed. Not many junior contestants could solve at least one problem(s), and competitive computing training should be offered if the students are keen on open competitions. An empirical study was conducted to evaluate the student feedback after the contest. Preliminary results revealed that the contest offering the chance to stimulate student learning interests could enhance their independent learning, innovative thinking and problem‐solving skills, and could thus lead to the overall benefits of the learning experiences, which further encourage them to participate in future contests to improve their learning and therefore enhance their employability. Employers often treasure student experiences in competitive programming events, like association for computing machinery programming contests, Google Code Jam or Microsoft Imagine Cup. Sharp vision requiring skills to tackle unseen problems within a short period is also instrumental to students planning for graduate school.
Publisher: IEEE
Date: 12-2016
Publisher: ACM
Date: 05-11-2019
Publisher: Springer Berlin Heidelberg
Date: 2007
Publisher: Wiley
Date: 04-07-2013
DOI: 10.1002/SEC.812
Location: Hong Kong
No related grants have been discovered for Yan Wang Dennis Liu.