The Requirement Analysis and Initial Design of a Cloud and Crowd Supported Mathematics Learning Environment for Computer Science Students

Tseng, Chun-Hsiung; Liu, Jyi-Shane; Chen, Yung-Hui; Lin, Hui; Jiang, Yanru; Lin, Jia-Rou

doi:10.1007/978-981-10-3187-8_23

Cited by 2 publications

(1 citation statement)

References 7 publications

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“…Cloud-based tools for learning computer science are reviewed by Abdullahi et al [1], Glazunova et al [5], Küçük, Bayılmış and Msongaleli [9], Liao, Chen and Xiong [10], Markova et al [11], Panchenko and Khomiak [13], Rassovytska and Striuk [14], Segrelles Quilis, Moltó and Blanquer [15], Tryus and Kachala [18], Tseng et al [19], Zhao and Forouraghi [22].…”

Section: Related Workmentioning

confidence: 99%

Criteria for selecting open web-oriented technologies for teaching the basics of programming to future software engineers

Vakaliuk

Spirin²,

Концедайло³

2021

Educ. Technol. Q.

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The article presents the criteria for selecting open web-oriented technologies for teaching the basics of programming to future software engineers. An analysis of the available open web-oriented technologies for teaching the basics of programming to future software engineers made it possible to divide them into compilers, automated systems for checking programming tasks, mind maps, and massive open online courses. Criteria and corresponding indicators are defined for each of them: for web-oriented compilers and mind maps, design and functional criteria are allocated, for web-oriented automated systems for checking programming tasks, design, information-didactic, and communication criteria are allocated, for massive open online courses - informational didactic and functional. Comparative tables are given for all the listed web-oriented technologies for teaching the basics of programming to future software engineers according to certain criteria and indicators.

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