Open Access. Powered by Scholars. Published by Universities.®
Social and Behavioral Sciences Commons™
Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 6 of 6
Full-Text Articles in Social and Behavioral Sciences
Learning Through Interning: National Library Of Medicine® Internships, Lauren E. Robinson, Tyler Nix
Learning Through Interning: National Library Of Medicine® Internships, Lauren E. Robinson, Tyler Nix
Lauren E. Robinson
Socio-Emotional Connections: Identity, Belonging And Learning In Online Interactions. A Literature Review, Janine Delahunty, Irina Verenikina, Pauline Jones
Socio-Emotional Connections: Identity, Belonging And Learning In Online Interactions. A Literature Review, Janine Delahunty, Irina Verenikina, Pauline Jones
I. Verenikina
This review focuses on three interconnected socio-emotional aspects of online learning: interaction, sense of community and identity formation. In the intangible social space of the virtual classroom, students come together to learn through dialogic, often asynchronous, exchanges. This creates distinctive learning environments where learning goals, interpersonal relationships and emotions are no less important because of their 'virtualness', and for which traditional face-to-face pedagogies are not neatly transferrable. The literature reveals consistent connections between interaction and sense of community. Yet identity, which plausibly and naturally emerges from any social interaction, is much less explored in online learning. While it is widely …
3d Technologies At Brockport. What's Next?, Gregory Toth, Kim Myers, Ken Wierzbowski, Wendy Prince
3d Technologies At Brockport. What's Next?, Gregory Toth, Kim Myers, Ken Wierzbowski, Wendy Prince
Kim Myers
Presentation on 3D printing and related technologies made at The College at Brockport's Center for Excellence in Learning and Teaching (CELT). Provides a broad overview of 3D technologies and applications, describes implementation and initial reception of 3D printing in The College's Drake Memorial Library as well as programs at Cornell University and SUNY New Paltz. Reviews potential applications of these technologies in the teaching/learning environment and expansion to a yearlong Faculty Learning Community focus and/or a campus makerspace.
Social Media As An Educational Tool In University Level Geography, Elizabeth Hundey
Social Media As An Educational Tool In University Level Geography, Elizabeth Hundey
Beth J Hundey
Social media is not a passing fad—it is a new, versatile way of both information gathering and production. It is broadly defined as “networked tools that emphasize the social aspect of the Internet for communication, collaboration and creative expression” (Dabbagh & Kitsantas, 2012). Although many courses have online components (e.g. WebCT or other learning management systems), it is arguable that we as educators are not taking advantage of mainstream (i.e. applications and sites that are not education specific) social media to its full potential in the classroom. This short paper offers an outline of a seminar discussing the uses of …
The Miss Angel Pitch: An Entrepreneurial Approach To Engaging Online Learners, Michelle Lane
The Miss Angel Pitch: An Entrepreneurial Approach To Engaging Online Learners, Michelle Lane
Michelle Lane
Machine Learning Techniques And Use Of Event Information For Stock Market Prediction: A Survey And Evaluation, Paul D. Yoo, Maria H. Kim, Tony Jan
Machine Learning Techniques And Use Of Event Information For Stock Market Prediction: A Survey And Evaluation, Paul D. Yoo, Maria H. Kim, Tony Jan
Maria Kim
This paper surveys machine learning techniques for stock market prediction. The prediction of stock markets is regarded as a challenging task of financial time series prediction. In this paper, we present recent developments in stock market prediction models, and discuss their advantages and disadvantages. In addition, we investigate various global events and their issues on predicting stock markets. From this survey, we found that incorporating event information with prediction model plays very important roles for more accurate prediction. Hence, an accurate event weighting method and a stable automated event extraction system are required to provide better performance in financial time …