emotions can give you truly pertinent, useful data about business problems that need attention.
negative emotions are useful indicators of both your instincts and your beliefs:
If you’re feeling sad or down, you’re probably unhappy with your own behavior or the effectiveness of your response to events. You might be thinking that something has gone wrong and that it was your fault. Be careful not to leave sadness unattended or it can slide into hopelessness and the belief that you’ll never be able to make things better. Instead, let sadness prompt you to change: Look for small actions and steps to make headway and improvements.
If you’re angry, you may be experiencing a fairness issue of some kind, and the anger may be telling you about a sense of violation or something that needs to be set right.
If you’re afraid or don’t feel safe in some way, you may sense that something bad is going to happen but you’re not sure what it is or how it might damage you. Or perhaps you don’t trust upcoming events or the people involved. Your fear can alert you to do extra preparation and contingency planning so you’ll have your best shot at success.
Rural school leaders have some of the most complex, multifaceted jobs in education. They also have some of the highest turnover. Half of all new principals quit their jobs within three years, according to a 2014 study. A national survey released in July found that principals in rural school districts are even less likely than their urban and suburban counterparts to stay at their school the following year and more likely to leave the profession altogether. The schools they preside over, meanwhile, often struggle with persistent poverty, low college-going rates and extreme racial disparities in student outcomes.
Kiwi enhances learning experiences by encouraging active participation with AR and social media. A student can use their smartphone or tablet to scan physical textbooks and unlock learning assistance tools, like highlighting, note creation and sharing, videos and AR guides—all features that encourage peer-to-peer learning. (my note, as reported at the discussion at the QQLM conference in Crete about Zois Koukopoulos, Dimitrios Koukopoulos Augmented Reality Dissemination and Exploitation Services for Libraries: http://blog.stcloudstate.edu/ims/2018/05/21/measuring-learning-outcomes-of-new-library-initiatives/
Street Smarts VR is a startup that is working to provide solutions for a major issue facing America’s communities: conflicts between police officers and citizens.
NYC Media Lab recently collaborated with Bloomberg and the augmented reality startup Lampix on a fellowship program to envision the future of learning in the workplace. Lampix technology looks like it sounds: a lamp-like hardware that projects AR capabilities, turning any flat surface into one that can visualize data and present collaborative workflows.
Calling Thunder: The Unsung History of Manhattan
Calling Thunder: The Unsung History of Manhattan, a project that came out of a recent fellowship program with A+E Networks, re-imagines a time before industrialization, when the City we know now was lush with forests, freshwater ponds, and wildlife.
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).
Colleges no longer simply want to know what their students know, but how they think.
Higher-order thinking skills are “something that schools are paying a little bit more attention to these days,”
educators also say that paper-and-pencil examinations have limits—for one thing, knowing that you are being tested can drag down performance—and they are looking for new methods to measure skills like critical thinking, creativity, and persistence.
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.