The purpose of this project was to develop an online educational program that offered the courses in which students are deficient. This program was called The Virtual Senior (VS). In the end, multiple courses across each of the core disciplines will be created based on California State Standards.

eHealth is commonly defined as health services and information provided through the Internet and related technologies. Health educators have taken advantage of Internet and social media venues to disseminate health information essential to health risk management, disease prevention, and disease management and did not have a validated theoretical model to explain their experiences. The goal of this study was to create and test an integrated model of eHealth communication specific to 18-30 year old college students based on five research questions that identified and confirmed the factors most highly correlated with the presentation of health information on Internet or social media venues that improve eHealth literacy and provoke eHealth behavioral intention among college students. A sample of over 1400 18-30 year old college students was surveyed about their general and health information related use of the Internet and social media. As a result of exploratory factor analysis and subsequent structural equation modeling, the proposed theoretical model was revised and tested for statistical power. Two revised integrative models of eHealth communication, one for Internet and one for social media, were developed and validated. The model for social media shows statistically significant paths throughout the model; however, the model for the Internet reveals that the path between two constructs and Online Health Behavior are not statistically significant and is worthy of further examination. This study has important practical implications for eHealth educators, organizations dedicated to informing the public about specific diseases or health promotion techniques, health practitioners seeking improved strategies for effective eHealth message design, and to health information professionals.

Online health communities (OHCs) have become a medium for patients to share their personal experiences and interact with peers on topics related to a disease, medication, side effects, and therapeutic processes. Many studies show that using OHCs regularly decreases mortality and improves patients mental health. As a result of their benefits, OHCs are a popular place for patients to refer to, especially patients with a severe disease, and to receive emotional and informational support. The main reasons for developing OHCs are to present valid and high-quality information and to understand the mechanism of social support in changing patients' mental health. Given the purpose of OHC moderators for developing OHCs applications and the purpose of patients for using OHCs, there is no facility, feature, or sub-application in OHCs to satisfy patient and moderator goals. OHCs are only equipped with a primary search engine that is a keyword-based search tool. In other words, if a patient wants to obtain information about a side-effect, he/she needs to browse many threads in the hope that he/she can find several related comments. In the same way, OHC moderators cannot browse all information which is exchanged among patients to validate their accuracy. Thus, it is critical for OHCs to be equipped with computational tools which are supported by several sophisticated computational models that provide moderators and patients with the collection of messages that they need for making decisions or predictions. We present multiple computational models to alleviate the problem of OHCs in providing specific types of messages in response to the specific moderator and patient needs. Specifically, we focused on proposing computational models for the following tasks: identifying emotional support, which presents OHCs moderators, psychologists, and sociologists with insightful views on the emotional states of individuals and groups, and identifying informational support, which provides patients with an efficient and effective tool for accessing the best-fit messages from a huge amount of patient posts to satisfy their information needs, as well as provides OHC moderators, health-practitioners, nurses, and doctors with an insightful view about the current discussion under the topics of side-effects and therapeutic processes, giving them an opportunity to monitor and validate the exchange of information in OHCs. We proposed hybrid models that combine high-level, abstract features extracted from convolutional neural networks with lexicon-based features and features extracted from long short-term memory networks to capture the semantics of the data. We show that our models, with and without lexicon-based features, outperform strong baselines.

Students often use the web as a source of help for problems that they encounter on programming assignments.In this work, we seek to understand how students use the web to search for help on their assignments.We used a mixed methods approach with 344 students who complete a survey and 41 students who participate in a focus group meetings and helped in recording data about their search habits.The survey reveals data about student reported search habits while the focus group uses a web browser plug-in to record actual search patterns.We examine the results collectively and as broken down by class year.Survey results show that at least 2/3 of the students from each class year rely on search engines to locate resources for help with their programming bugs in at least half of their assignments;search habits vary by class year;and the value of different types of resources such as tutorials and forums varies by class year.Focus group results exposes the high frequency web sites used by the students in solving their programming assignments.

The purpose of the research was to determine how educators could be motivated to implement internet technology in education. The literature study highlighted the need for e-learning while suggesting that educator support would not be achieved easily. The empirical study, however, revealed that at the international school examined, educators accept internet learning and demonstrate a willingness to introduce it into their pedagogy, were a blended approach to be adopted. Technological and psychological barriers had already been breached, as e-learning was taking place in a non-threatening environment. Educators were being empowered to experiment with e-learning in their subject areas. The study revealed that, having already embraced e-learning methodology educators would continue to do so if they could clearly perceive the benefits to be achieved. The study also showed that given a technologically nurturing environment, it would not be difficult to motivate educators to introduce internet technology into their pedagogy. / Educational Studies / M.Ed. (Adult Education)

Thesis (M.A. ( Information Studies)) -- University of Limpopo, 2021 / This study aimed to examine the extent of awareness and the adoption of Open Access (OA) publishing for the purpose of scholarly communication by academic staff at the University of Limpopo (UL). The study was guided by Rogers’ Diffusion of Innovation theory (1) to measure the level of awareness of academics on the availability and use of OA resources; (2) to determine the adoption and usage levels of OA publishing as a platform for information sharing by academics in scholarly communication; (3) to establish academics’ attitudes towards the use of the OA publishing platforms; and (4) to identify perspectives of academic staff with regards to challenges and benefits presented by OA publishing. A dominantly quantitative research approach was adopted using a google forms questionnaire with closed ended questions to collect data from 250 academics at the University of Limpopo. Academics were selected using the systematic simple random sampling method. To ensure the survey instrument’s reliability and validity, the researcher conducted a pilot study through a web-based survey. A descriptive statistics method of the Statistical Package for Social Sciences (SPSS) was used to analyse data. The study established that the majority (82%) of academics were aware of OA publishing platforms. The internet and subject librarians were the main communication channels through which they became aware of OA publishing. The study also found that there was minimal the adoption and usage of OA publishing among academics. Their attitudes towards OA and their perceptions of the benefits and challenges of OA. The general attitudes of academics about OA were positive, signifying the acceptance of this scholarly communication mode. However, some of the challenges encountered in adopting and using OA publishing include slow internet connectivity and access, publication charges by some publishers, lack of skills to publish online, power interruptions, lack of policies on OA, fake and predatory v publishers and OA articles not being peer-reviewed. These were reported as problems that directly or indirectly hinder academics from publishing in OA platforms. The study recommends the institutionalisation of OA publishing at UL to improve research output dissemination. An area for further research will be to establish more insights regarding the feasibility of OA development and possible ways of dealing with article processing fees. Keywords: Open Access publishing, scholarly communication, Academic staff, Institutional Repositories, Rogers’ Diffusion of Innovation theory, University of Limpopo.

Indiana University-Purdue University Indianapolis (IUPUI) / The literature corresponding to disordered proteins has been on a rise. As the number of publications increase, the time and effort needed to manually identify the relevant publications and protein information to add to centralized repository (called DisProt) is becoming arduous and critical. Existing search facilities on PubMed can retrieve a seemingly large number of publications based on keywords and does not have any support for ranking them based on the probability of the protein names mentioned in a given abstract being added to DisProt. This thesis explores a novel system of using disorder predictors and context based dictionary methods to quickly identify publications on disordered proteins from the PubMed database. NLProt, which is built around Support Vector Machines, is used to identify protein names and PONDR-FIT which is an Artificial Neural Network based meta- predictor is used for identifying protein disorder. The work done in this thesis is of immediate significance in identifying disordered protein names. We have tested the new system on 100 abstracts from DisProt [these abstracts were found to be relevant to disordered proteins and were added to DisProt manually by the annotators.] This system had an accuracy of 87% on this test set. We then took another 100 recently added abstracts from PubMed and ran our algorithm on them. This time it had an accuracy of 68%. We suggested improvements to increase the accuracy and believe that this system can be applied for identifying disordered proteins from literature.

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This case study examines the James 1:27 Trust as an information, communication and technology response to the plight of orphans and vulnerable children within the context of an HIV and AIDS epidemic. The James 1:27 Trust demonstrates how social networks can be mobilized in support of children at risk. The use of business information and management systems to administer concepts such as “virtual adoption” is deemed an important innovative contribution. The James 1:27 Trust and its model is studied as a contributor in finding solutions to scale and multiply levels of care by community and faith-based organisations to orphans and vulnerable children. The James 1:27 Trust is located at the Innovation Hub in Pretoria, Africa’s first internationally accredited science park. / Social Work / M.A. (Social Behaviour in HIV/AIDS))

Community members benefit from the opportunities and services that are provided by park and recreation departments. As technology has continued to improve, it has begun to influence some of the services and programs offered by park and recreation departments. This study presents information regarding World Wide Web use in parks and recreation departments in 1998. The study surveyed those park and recreation departments who were members of the National Recreation and Parks Association's Great Lakes Region in 1998. A total of 419 departments were included in the study. These 419 departments were grouped into three population categories (Under 15,000; 15,000-49,999; 50,000 and above). A survey return rate of 58% was achieved. Survey respondents were asked to list current and future uses of the World Wide Web in their departments by program and by activity. Respondents were also asked to identify why they were or were not using the web. The study also examined if there were differences between agency size and World Wide Web use, agency size and the number of computers used, and agency size and the number of computer specialists employed. Recreation professionals can use this study to identify whether their department would benefit from World Wide Web use. The information can assist in identifying strengths and weaknesses of the web in the recreation profession and in departments similar to their own. / School of Physical Education