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Factors Affecting Student Educational Choices Regarding Oer Material In Computer Science, Anastasia Angelopoulou, Rania Hodhod, Alfredo J. Perez
Factors Affecting Student Educational Choices Regarding Oer Material In Computer Science, Anastasia Angelopoulou, Rania Hodhod, Alfredo J. Perez
Computer Science Faculty Publications
The use of Open Educational Resources (OER) in course settings provides a solution to reduce the textbook barrier. Several published studies have concluded that high textbook costs may influence students' educational choices. However, there are other student characteristics that may be relevant to OER. In this work, we study various factors that may influence students' educational choices regarding OER and their impact on a student’s perspectives on OER use and quality. More specifically, we investigate whether there are significant differences in the frequency of use and perceived quality of the OER textbook based on gender, prior academic achievements, income, seniority, …
Recent Advances In Wearable Sensing Technologies, Alfredo J. Perez, Sherali Zeadally
Recent Advances In Wearable Sensing Technologies, Alfredo J. Perez, Sherali Zeadally
Computer Science Faculty Publications
Wearable sensing technologies are having a worldwide impact on the creation of novel business opportunities and application services that are benefiting the common citizen. By using these technologies, people have transformed the way they live, interact with each other and their surroundings, their daily routines, and how they monitor their health conditions. We review recent advances in the area of wearable sensing technologies, focusing on aspects such as sensor technologies, communication infrastructures, service infrastructures, security, and privacy. We also review the use of consumer wearables during the coronavirus disease 19 (COVID-19) pandemic caused by the severe acute respiratory syndrome coronavirus …
Acknowledgement Entity Recognition In Cord-19 Papers, Jian Wu, Pei Wang, Xin Wei, Sarah Rajtmajer, C. Lee Giles, Christopher Griffin
Acknowledgement Entity Recognition In Cord-19 Papers, Jian Wu, Pei Wang, Xin Wei, Sarah Rajtmajer, C. Lee Giles, Christopher Griffin
Computer Science Faculty Publications
Acknowledgements are ubiquitous in scholarly papers. Existing acknowledgement entity recognition methods assume all named entities are acknowledged. Here, we examine the nuances between acknowledged and named entities by analyzing sentence structure. We develop an acknowledgement extraction system, AckExtract based on open-source text mining software and evaluate our method using manually labeled data. AckExtract uses the PDF of a scholarly paper as input and outputs acknowledgement entities. Results show an overall performance of F1=0.92. We built a supplementary database by linking CORD-19 papers with acknowledgement entities extracted by AckExtract including persons and organizations and find that only up to …