Issues and Trends in Instructional Technology: Growth and Maturation of Web-Based Tools in a Challenging Climate; Social Networks Gain Educators’ Attention

Author(s):  
Abbie Brown ◽  
Tim Green
2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S71-S71
Author(s):  
Eleanor S McConnell ◽  
Kirsten Corazzini ◽  
T Robert Konrad

Abstract Although the impact of dementia on the health and well-being of those living with Alzheimer’s Disease and related Disorders (ADRD) and their care partners has been widely studied, less attention has been paid to how the disease impacts individuals within the context of their larger social networks. This symposium presents findings from a series of integrated studies aimed at strengthening measurement of health and well-being among older adults with living with dementia and well-being among members of their social networks. Findings will be presented from five studies: (1) a scoping review of social network measurement in older adults in chronic illness, including dementia, that emphasizes the use of technology in measuring older adults’ social networks; (2) a simulation study to evaluate the feasibility and reliability of sensor technology to measure social interaction among a person living with dementia and others in their immediate surroundings; (3) development of a web-based application that allows older adults to map and activate their social networks; (4) a qualitative analysis of interviews from persons living with dementia, their unpaid caregivers, and paid caregivers from an adult day health program concerning well-being focused outcomes; and (5) a mixed methods analysis of the feasibility of using both traditional and novel measures of health and well-being deployed among networks of people living with dementia. Emerging technologies for measuring social networks health and well-being hold promise for advancing the study of the relationship-based nature of care for people living with dementia.


Author(s):  
Carson K.-S. Leung ◽  
Irish J. M. Medina ◽  
Syed K. Tanbeer

The emergence of Web-based communities and social networking sites has led to a vast volume of social media data, embedded in which are rich sets of meaningful knowledge about the social networks. Social media mining and social network analysis help to find a systematic method or process for examining social networks and for identifying, extracting, representing, and exploiting meaningful knowledge—such as interdependency relationships among social entities in the networks—from the social media. This chapter presents a system for analyzing the social networks to mine important groups of friends in the networks. Such a system uses a tree-based mining approach to discover important friend groups of each social entity and to discover friend groups that are important to social entities in the entire social network.


Author(s):  
Sašo Karakatič ◽  
Vili Podgorelec ◽  
Marjan Heričko

In this chapter, it is shown how useful user services can be created through the integration of social networks and semantic databases. The authors developed a recommendation service in a form of a Web-based application, where a user's interests are imported from social network Facebook and linked with additional data from open semantic database Freebase. Based on a custom implementation of k-nearest neighbors algorithm, the developed method is able to find recommendations based on users’ interests enriched with semantic information. The resulting list of found recommendations is then shown to the user in some basic categories like movies, music, games, books, and others.


Author(s):  
Márcio J. Mantau ◽  
Marcos H. Kimura ◽  
Isabela Gasparini ◽  
Carla D. M. Berkenbrock ◽  
Avanilde Kemczinski

The issue of privacy in social networks is a hot topic today, because of the growing amount of information shared among users, who are connected to social media every moment and by different devices and displays. This chapter presents a usability evaluation of the privacy features of Facebook's social network. The authors carry out an evaluation composed by three approaches, executed in three stages: first by the analysis and inspection of system's features related to privacy, available for both systems (Web-based systems and mobile-based systems, e.g. app). The second step is a heuristic evaluation led by three experts, and finally, the third step is a questionnaire with 605 users to compare the results between specialists and real users. This chapter aims to present the problems associated with these privacy settings, and it also wants to contribute for improving the user interaction with this social network.


2011 ◽  
pp. 1564-1585
Author(s):  
Peter E. Doolittle ◽  
Andrea L. McNeill ◽  
Krista P. Terry ◽  
Stephanie B. Scheer

The current emphasis, in education and training, on the use of instructional technology has fostered a shift in focus and renewed interest in integrating human learning and pedagogical research. This shift has involved the technological and pedagogical integration between learner cognition, instructional design, and instructional technology, with much of this integration focusing on the role of working memory and cognitive load in the development of comprehension and performance. Specifically, working memory, dual coding theory, and cognitive load are examined in order to provide the underpinnings of Mayer’s (2001) Cognitive Theory of Multimedia Learning. The bulk of the chapter then addresses various principles based on Mayer’s work and provides well documented web-based examples.


2006 ◽  
Vol 6 (4) ◽  
pp. 497-529 ◽  
Author(s):  
Jennifer Golbeck ◽  
James Hendler

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