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Meina Zhu – Journal of Computer Assisted Learning, 2025
Background: Computer programming learning and education play a critical role in preparing a workforce equipped with the necessary skills for diverse fields. ChatGPT and YouTube are technologies that support self-directed programming learning. Objectives: This study aims to examine the sentiments and primary topics discussed in YouTube comments…
Descriptors: Computer Science Education, Programming, Social Media, Video Technology
Emily Theophilou; Davinia Hernández-Leo; Vicenç Gómez – Journal of Computer Assisted Learning, 2024
Background: Gender differences in the use of educational environments and social media platforms have been a topic of interest in research. Several studies have examined the disparities between female and male participants in terms of participation, engagement, and motivations in either educational or social media platforms. On this end, this…
Descriptors: Gender Differences, Social Media, Learner Engagement, Foreign Countries
Luik, Piret; Lepp, Marina – Journal of Computer Assisted Learning, 2021
Background: The coronavirus pandemic has affected education worldwide. Estonian schools moved to distance learning on March 16. Objectives: This paper outlines the stages of unexpected and temporary changes affecting different stakeholders based on activity and content of the messages in the Facebook group 'Homeschooling with technology'. Also the…
Descriptors: Distance Education, COVID-19, Pandemics, Social Media
Çetinkaya, Levent; Sütçü, Selim Soner – Journal of Computer Assisted Learning, 2018
The purpose of this study is to determine the effects of Facebook and WhatsApp on success in English vocabulary instruction and the learners' opinions about the implementation process. In the study, mixed method model, which combines both quantitative and qualitative data, was used. The success of the students in Facebook, WhatsApp, and control…
Descriptors: Social Media, Computer Mediated Communication, Computer Software, Vocabulary Development