Taehyo Kim, Hai Shu, Qiran Jia, Mony J de Leon
DeepFDR: A Deep Learning-based False Discovery Rate Control Method for Neuroimaging Data
Proceedings of machine learning research
phenomenological study explored experiences language learners digital age specifically investigating intersection digital literacy technostress online engagement autonomy academic success twenty participants selected purposive sampling shared chinese native language 18 20 years old five participants female employing interviews document analysis study aimed understand subjective meanings emotions perceptions associated phenomena findings revealed multifaceted nature technostress crucial role digital literacy shaping online engagement autonomy nuanced impact academic success qualitative insights contribute deeper understanding complex relationships digital language learning landscape study implications educators materials developers syllabus designers policymakers providing practical insights enhance language learning experiences digital era future research may explore specific dimensions uncovered study adapt educational practices evolving digital terrain