Arshad, M., & Akram, M. S. (2018). Social Media Adoption by the Academic Community: Theoretical Insights and Empirical Evidence From Developing Countries. The International Review of Research in Open and Distributed Learning, 19(3). Retrieved from http://www.irrodl.org/index.php/irrodl/article/view/3500
Building on the social constructivist paradigm and technology acceptance model, we propose a conceptual model to assess social media adoption in academia by incorporating collaboration, communication, and resource sharing as predictors of social media adoption, whereas perceived ease of use and perceived usefulness act as mediators in this relationship.
According to the latest social media statistics, there are more than 2 billion Facebook users, more than 300 million Twitter users, more than 500 million Google+ users, and more than 400 million LinkedIn users (InternetLiveStats, 2018).
although social media is rapidly penetrating into the society, there is no consensus in the literature on the drivers of social media adoption in an academic context. Moreover, it is not clear how social media can impact academic performance.
Social media platforms have significant capability to support the social constructivist paradigm that promotes collaborative learning (Vygotsky, 1978).
proposing a Social Media Adoption Model (SMAM) for the academic community
Social media platforms provide an easy alternative, to the academic community, as compared to official communications such as email and blackboard. my note: this has been established as long as back as in 2006 – https://www.chronicle.com/article/E-Mail-is-for-Old-People/4169. Around the time, when SCSU announced email as the “formal mode of communication).Thus, it is emerging as a new communication and collaboration tool among the academic community in higher education institutions (Roblyer, McDaniel, Webb, Herman, & Witty, 2010). Social media has greatly changed the communication/feedback environment by introducing technologies that have modified the educational perspective of learning and interacting (Prensky, 2001).
the Theory of Reasoned Action (Fishbein & Ajzen, 1975) and the Technology Acceptance Model (Davis, 1989) have been used to assess individuals’ acceptance and use of technology. According to the Technology Acceptance Model, perceived usefulness and perceived ease are the main determinants of an individual’s behavioral intentions and actual usage (Davis, 1989).
Perceived usefulness, derived from the Technology Acceptance Model (TAM), is the particular level that an individual perceives that they can improve their job performance or create ease in attaining the targeted goals by using an information system. It is also believed to make an individual free from mental pressure (Davis, 1989).
Perceived ease of use can be defined as the level to which an individual believes that using a specific system will make a task easier (Gruzd, Staves, & Wilk, 2012) and will reduce mental exertion (Davis, 1989). Venkatesh (2000) posits this construct as a vital element in determining a user’s behavior toward technology. Though generally, there is consensus on the positive effect of perceived ease of use and perceived usefulness on users’ attitude towards social media, it is not yet clear which one of these is more relevant in explaining users’ attitude towards social media in the academic community (Lowry, 2002). Perceived ease of use is one of the eminent behavioral beliefs affecting the users’ intention toward technology acceptance (Lu et al., 2005). The literature suggests that perceived ease of use of technology develops a positive attitude toward its usage (Davis, 1989).
Collaborative learning is considered as an essential instructional method as it assists in overcoming the communication gap among the academic community (Bernard, Rubalcava, & St-Pierre, 2000). The academic community utilizes various social media platforms with the intention to socialize and communicate with others and to share common interests (Sánchez et al., 2014; Sobaih et al., 2016). The exchange of information through social media platforms help the academic community to develop an easy and effective communication among classmates and colleagues (Kaplan & Haenlein, 2010). Social media platforms can also help in developing communities of practice that may help improve collaboration and communication among members of the community (Sánchez et al., 2014). Evidence from previous work confirms that social media platforms are beneficial to college and university students for education purposes (Forkosh-Baruch & Hershkovitz, 2012). Due to the intrinsic ease of use and usefulness of social media, academics are regularly using information and communication technologies, especially social media, for collaboration with colleagues in one way or the other (Koh & Lim, 2012; Wang, 2010).
Session Title: Measuring Learning Outcomes of New Library Initiatives Coordinator: Professor Plamen Miltenoff, Ph.D., MLIS, St. Cloud State University, USA Contact: firstname.lastname@example.org Scope & rationale: The advent of new technologies, such as virtual/augmented/mixed reality, and new pedagogical concepts, such as gaming and gamification, steers academic libraries in uncharted territories. There is not yet sufficiently compiled research and, respectively, proof to justify financial and workforce investment in such endeavors. On the other hand, dwindling resources for education presses administration to demand justification for new endeavors. As it has been established already, technology does not teach; teachers do; a growing body of literature questions the impact of educational technology on educational outcomes. This session seeks to bring together presentations and discussion, both qualitative and quantitative research, related to new pedagogical and technological endeavors in academic libraries as part of education on campus. By experimenting with new technologies such as Video 360 degrees and new pedagogical approaches such as gaming and gamification, does the library improve learning? By experimenting with new technologies and pedagogical approaches, does the library help campus faculty to adopt these methods and improve their teaching? How can results be measured, demonstrated?
Course Design addresses elements of instructional design. For the purpose of this rubric, course design includes such elements as structure of the course, learning objectives, organization of content, and instructional strategies.
Interaction and Collaboration
Interaction denotes communication between and among learners and instructors, synchronously or asynchronously. Collaboration is a subset of interaction and refers specifically to those activities in which groups are working interdependently toward a shared result. This differs from group activities that can be completed by students working independently of one another and then combining the results, much as one would when assembling a jigsaw puzzle with parts of the puzzle worked out separately then assembled together. A learning community is defined here as the sense of belonging to a group, rather than each student perceiving himself/herself studying independently.
Assessment focuses on instructional activities designed to measure progress toward learning outcomes, provide feedback to students and instructors, and/or enable grading or evaluation. This section addresses the quality and type of student assessments within the course.
Learner Support addresses the support resources made available to students taking the course. Such resources may be accessible within or external to the course environment. Learner support resources address a variety of student services.
On the surface, adopting technology to support teacher needs or student challenges isn’t terribly complex: define the problem you’re trying to solve, identify the right tools for the job, and implement the tools effectively and with fidelity.
Technology is just a tool, not a means in and of itself. Any school or teacher that sets out to use technology for its sake alone, and not in the service of personalizing learning or addressing specific needs, is on a mission to fail.
Insufficient Modeling of Best Practices
A survey from Samsung found that 37 percent of teachers say they would love to use technology but don’t know how, and 76 percent say they would like a professional development day dedicated to technology.
Teachers face initiative fatigue: They are constantly being asked to implement new programs, integrate new technologies, and add on layers of responsibility. In one Wisconsin district, nearly half of teachers felt ongoing district initiatives were a “significant area of concern.”
Forward-thinking schools take the time to learn from the challenges of other schools, and recruit a coalition of the willing.
Real-World Usability Challenges
Relying on multiple devices (remote, clicker, iPad, computer mouse) to launch or navigate technology can be difficult. Additionally, teachers may start to use a tool, only to realize it is not flexible enough to meet their original needs, fit into the constraints of their particular school or classroom, or allow them to integrate their own content or supplemental resources.
The Right Data to Track Progress
Lack of useful data, problem definition, weak teacher buy-in, first impressions, and usability challenges all have the potential to torpedo smart technology products.
The Next 10 Years: Helping STEM Students Thrive series, on January 10th, from 12-1:30 PM ET. The topic will be learning spaces with the following guest speakers:
Jeanne L. Narum, Principal, Learning Spaces Collaboratory
Jeanne will discuss what she has learned about what works, why and how it works in achieving sustainable institutional transformation in the world of planning spaces for learning in the undergraduate setting.
Lisa Stephens, Sr. Strategist- SUNY Academic Innovation – University at Buffalo
Rebecca Rotundo, Instructional Technology Specialist, University at Buffalo
Lisa and Rebecca will share their experience in FLEXspace (Flexible Learning Environments eXchange) an open education repository project which has expanded to over 2,600+ users from 1,200+ educational institutions across 42 countries.
Xin Li, Associate University Librarian, Cornell
Xin will share information about the Library’s initiative to install a Portal on the Cornell campus in Sept. 2018, with the goal to engage faculty, students, and the community in live conversations with Portal users in different countries, cultures, or life circumstances, such as what others do for STEM education.
This collaboration between Cornell University and the University at Buffalo featuring the perspectives of national thought leaders and institutional representatives about expanding the participation of women in undergraduate STEM education at different scales.
This interactive, online series features a different topic per month. Each session kicks off with an introduction by our distinguished thought leaders followed by institutional representatives from Cornell University and the University at Buffalo who will share insights from their campuses. Participants may join the conversation, ask questions, share experiences, build networks and learn more about:
· Innovations that can expand female or underrepresented minority student participation and success in STEM undergraduate education.
· Effective evidence-based STEM teaching practices commonly adopted at research universities.
· Unique institutional and cultural challenges to achieving STEM diversity.