Conference Paper

Twitter and Teaching: to Tweet or not to Tweet?

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Abstract

As increasingly more new skills are necessary for graduates entering the workplace or seeking employment, business leaders, politicians and educators suggest that if students are to succeed in today's world, they will require 21st century skills. However, there is no single agreed-upon set of skills. We argue that social media skills are becoming ever more important for employment and society should class them as important 21st-century skills from maintaining well-rounded social media profiles to more advanced data science and analytic skills. At the same time, such a demand affects the teaching process since teachers have to acquire new knowledge about the available tools. Twitter as a microblogging platform is definitely one of the tools that is a part of 21st-century social skills. Thus, by integrating it into the teaching process, Twitter can generate new experiences for both sides, the students and the teachers. In this paper, we conduct a descriptive review of the recent literature that covers Twitter use in teaching. We reviewed results from the top 100 retrieved research results in Web of Science on Twitter and teaching in the domains of social science, science technology, and arts and humanities. We analysed the results quantitatively in terms of content, methods, and methodologies and qualitatively as the description of results found in selected papers that meet certain criteria. This paper also discusses different research departure points for use in further research of the topic.

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Thesis
This thesis is based on the inquiry of how we could quantify the information behavior patterns through the logs collected while people search and seek for the information. At the same time, it addresses the socio-cognitive characteristics of the user and explores how those characteristics could be predicted through the computer analysis of the logs collected while search tasks are done. It is based on the premise that if we could quantify information behavior patterns by computer, the output of such a process could be used as feedback for the information systems that are adaptive to the user's needs. Log analysis as a method in information science and particularly in the information behavior domain is rarely used. Most of the existing literature is based on qualitative research or quantitative methods such as surveys. And as we live in the times of ultralarge systems that already have some of those techniques implemented in them but closed in a black box, we must understand those techniques. The main challenge of this thesis approach is how to quantify behavior based on the logs collected. We could understand that logs collected are one of the rare data which could be collected and then processed by the computer to describe behavior. In particular, it is important as some theories told us that most human behavior is not based on rationality but is influenced by the environment. To simulate the environment of the user's day-to-day information searching process the laboratory experiment was chosen. Users were first given the survey that was used to describe their socio-cognitive characteristics from the perspective of information need and information behavior. After filling the survey, participants had to fulfill four information searching tasks in the domain of music, and logs from those searches were collected. The biggest challenge was based on the issue that by analyzing data by a human there was a clear difference between the user socio-cognitive characteristics and his logs collected in the process of information search. But if we want to design adoptive information systems computers should do such a process and use its output as feedback to adapt to the user. To do so algorithm was developed that transforms the absolute numbers into relative ones. And only after doing so the computer could process data and evaluate the prediction in terms of recognizing users' characteristics. As a result of this thesis, some user characteristics could be recognized through the logs and the algorithm showed results. And as such, this thesis provides the one step towards a better understanding of how users use information systems, how those information systems could be designed to be more adaptive and human-friendly.
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Advance organizers The Language of Science Education (p. 4)
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Beyond the tweet: Using twitter to enhance engagement, learning, and success among first-year students
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West, B., Moore, H., & Barry, B. (2015). Beyond the tweet: Using twitter to enhance engagement, learning, and success among first-year students. Journal of Marketing Education, 37/3, 160-170.
Twitter as a professional development tool for physicists
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Spacecraft reveals recent geological activity on the moon": Exploring the features of NASA Twitter posts and their potential to engage adolescents
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Lesley, M. (2014). "Spacecraft reveals recent geological activity on the moon": Exploring the features of NASA Twitter posts and their potential to engage adolescents. Journal of Adolescent & Adult Literacy, 57(5), 377-385.
Roles of course facilitators, learners, and technology in the flow of information of a cMOOC. The International Review of Research in Open and Distributed Learning
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Skrypnyk, O., Joksimović, S., Kovanović, V., Gašević, D., & Dawson, S. (2015). Roles of course facilitators, learners, and technology in the flow of information of a cMOOC. The International Review of Research in Open and Distributed Learning, 16(3).