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Nursalim, Mochamad; Saroinsong, Wulan P.; Boonroungrut, Chinun; Wagino; Costa, Augusto da – Psychology in the Schools, 2023
The global health emergency, COVID-19, significantly influenced schooling in Indonesia. Students employed a variety of coping mechanisms to cope with unusual stress levels during confinement time. Hence, as students' COVID-19 resilience, investigation, and prevention were required for high and chronic stress connected with various disorders. This…
Descriptors: Prediction, COVID-19, Pandemics, Resilience (Psychology)
Guiqin Liang; Chunsong Jiang; Qiuzhe Ping; Xinyi Jiang – Interactive Learning Environments, 2024
With long-term impact of COVID-19 on education, online interactive live courses have been an effective method to keep learning and teaching from being interrupted, attracting more and more attention due to their synchronous and real-time interaction. However, there is no suitable method for predicting academic performance for students…
Descriptors: Academic Achievement, Prediction, Engineering Education, Online Courses
Stadlman, Margaret; Salili, Seyyed M.; Borgaonkar, Ashish D.; Miri, Amir K. – Journal of STEM Education: Innovations and Research, 2022
Lack of student persistence and retention is significantly hurting the US in producing the required number of qualified graduates, especially in STEM fields. Although many factors contribute to students falling off track, one of the controllable factors is the identification of at-risk students followed by early intervention. Predicting the…
Descriptors: Artificial Intelligence, Synchronous Communication, Educational Technology, Electronic Learning
Liu, Xiaoming; Schwieger, Dana – Information Systems Education Journal, 2023
Rapid advancements and emergent technologies add an additional layer of complexity to preparing computer science and information technology higher education students for entering the post pandemic job market. Knowing and predicting employers' technical skill needs is essential for shaping curriculum development to address the emergent skill gap.…
Descriptors: Network Analysis, Employment Opportunities, Information Technology, Computer Science Education
Miguel Baptista Nunes Ed.; Pedro Isaias Ed. – International Association for Development of the Information Society, 2022
These proceedings contain the papers of the 16th International Conference on e-Learning (EL 2022), which was organised by the International Association for Development of the Information Society, 19-21 July, 2022. This conference is part of the 16th Multi Conference on Computer Science and Information Systems 2022, 19-22 July, which had a total of…
Descriptors: Electronic Learning, Online Courses, Educational Technology, COVID-19