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Pub Date: |
2013-00-00 |
Pub Type(s): |
Books; Collected Works - General |
Peer Reviewed: |
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Descriptors:
Higher Education; Educational Environment; School Holding Power; Interpersonal Relationship; Foreign Countries; Electronic Learning; Distance Education; Online Courses; Web Sites; Electronic Publishing; Social Networks; Internet; Web 2.0 Technologies; Student Motivation; Teacher Student Relationship; Story Telling; Educational Technology; Vocational Education; Communities of Practice; Nonformal Education; Marketing; Public Relations; Computer Mediated Communication; Media Literacy; Architecture; Computer Oriented Programs
Abstract:
As web applications play a vital role in our society, social media has emerged as an important tool in the creation and exchange of user-generated content and social interaction. The benefits of these services have entered in the educational areas to become new means by which scholars communicate, collaborate and teach. Social Media and the New Academic Environment: Pedagogical Challenges provides relevant theoretical frameworks and the latest research on social media the challenges in the educational context. This book is essential for professionals aiming to improve their understanding of social media at different levels of education as well as researchers in the fields of e-learning, educational science and information and communication sciences and much more. Contents include: (1) Future Learning Spaces: The Potential and Practice of Learning 2.0 in Higher Education (Charlotte Holland and Miriam Judge); (2) How Social Design Influences Student Retention and Self-Motivation in Online Learning Environments (Derek E. Baird and Mercedes Fisher); (3) Student-Faculty Communication on Facebook: Prospective Learning Enhancement and Boundaries (Laurentiu Soitu and Laura Paulet-Crainiceanu); (4) Integrating Mobile Learning, Digital Storytelling and Social Media in Vocational Learning (Miikka Eriksson, Pauliina Tuomi, and Hanna Vuojarvi); (5) Enhancing Social Presence and Communities of Practice in Distance Education Courses through Social Media (Lori B. Holcomb and Matthew Kruger-Ross); (6) Framing Non-Formal Education through CSR 2.0 (Bogdan Patrut, Monica Patrut, and Camelia Cmeciu); (7) Social Media Audit and Analytics: Exercises for Marketing and Public Relations Courses (Ana Adi); (8) Functions of Social Media in Higher Education: A Case Study (Violeta Maria Serbu); (9) A User's Perspective on Academic Blogging: Case Study on a Romanian Group of Students (Mihai Deac and Ioan Hosu); (10) Uses and Implementation of Social Media at University: The Case of Schools of Communication in Spain (Maria-Jesus Diaz-Gonzalez, Natalia Quintas Froufe, Almudena Gonzalez del Valle Brena, and Francesc Pumarola); (11) Web Use in Public Relations Education: A Portuguese Example (Sonia Pedro Sebastiao); (12) Social Media Usage among University Students in Malaysia (Norsiah Abdul Hamid, Mohd Sobhi Ishak, Syamsul Anuar Ismail, and Siti Syamsul Nurin Mohmad Yazam); (13) Social Media and other Web 2.0 Technologies as Communication Channels in a Cross-Cultural, Web-Based Professional Communication Project (Pavel Zemliansky and Olena Goroshko); (14) E-Learning Records: Are There Any to Manage? If so, How? (Luciana Duranti and Elizabeth Shaffer); (15) The Influence of Twitter on the Academic Environment (Martin Ebner); (16) Academic Perspectives on Microblogging (Gabriela Grosseck, Carmen Holotescu and Bogdan Patrut); (17) The Impact of Social Media on Scholarly Practices in Higher Education: Online Engagement and ICTs Appropriation in Senior, Young, and Doctoral Researchers (Antonella Esposito); (18) Digital Literacy for Effective Communication in the New Academic Environment: The Educational Blogs (Ruxandra Vasilescu, Manuela Epure and Nadia Florea); (19) Implementation of Augmented Reality in "3.0 Learning" Methodology: Case Studies with Students of Architecture Degree (Ernest Redondo, Isidro Navarro, Albert Sanchez and David Fonseca); and (20) Digital Social Media Detox (DSMD): Responding to a Culture of Interconnectivity (Theresa Renee White).
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Pub Date: |
2012-12-00 |
Pub Type(s): |
Journal Articles; Reports - Research |
Peer Reviewed: |
Yes |
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Descriptors:
Regression (Statistics); Equations (Mathematics); Psychological Evaluation; Multiple Regression Analysis; Models; Computation; Statistical Inference; Effect Size; Computer Oriented Programs; Hypothesis Testing; Prediction; Scores
Abstract:
Regression equations have many useful roles in psychological assessment. Moreover, there is a large reservoir of published data that could be used to build regression equations; these equations could then be employed to test a wide variety of hypotheses concerning the functioning of individual cases. This resource is currently underused because (a) not all psychologists are aware that regression equations can be built not only from raw data but also using only basic summary data for a sample, and (b) the computations involved are tedious and prone to error. In an attempt to overcome these barriers, Crawford and Garthwaite (2007) provided methods to build and apply simple linear regression models using summary statistics as data. In the present study, we extend this work to set out the steps required to build "multiple" regression models from sample summary statistics and the further steps required to compute the associated statistics for drawing inferences concerning an individual case. We also develop, describe, and make available a computer program that implements these methods. Although there are caveats associated with the use of the methods, these need to be balanced against pragmatic considerations and against the alternative of either entirely ignoring a pertinent data set or using it informally to provide a clinical "guesstimate." Upgraded versions of earlier programs for regression in the single case are also provided; these add the point and interval estimates of effect size developed in the present article. (Contains 1 figure, 2 tables and 1 footnote.)
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Pub Date: |
2012-08-00 |
Pub Type(s): |
Journal Articles; Reports - Descriptive |
Peer Reviewed: |
Yes |
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Descriptors:
Engineering Education; Engineering; Electronics; Foreign Countries; Educational Environment; Learning Activities; Student Motivation; Computer Software; Computers; Computer Oriented Programs; Teaching Methods; Student Projects; Interdisciplinary Approach
Abstract:
This paper describes a novel Electrical Machine and Power Electronic Training Tool (EM&PE[subscript TT]), a methodology for using it, and associated experimental educational activities. The training tool is implemented by recreating a whole power electronics system, divided into modular blocks. This process is similar to that applied when analyzing a piece of industrial equipment by the functions of its various parts. The EM&PE[subscript TT] is divided into five areas: the power block, the electronic switch command, instrumentation, the control system, and the application environment. The training tool lets a user analyze each functional block and the relationships between functional blocks; it can be used either in local or remote mode, thus ensuring optimal effectiveness of the proposed learning methodology. The students can redesign the hardware and software blocks before reassembling them; this allows various different experimental projects to be run concurrently in the same training tool. The results presented here show that EM&PE[subscript TT] improves engineering students' technical skills and their motivation in experimental work. (Contains 14 figures and 1 table.)
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Pub Date: |
2012-08-00 |
Pub Type(s): |
Journal Articles; Reports - Research |
Peer Reviewed: |
Yes |
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Descriptors:
Research Design; Computer Oriented Programs; Chemistry; Computers; Metacognition; Experiments; Scaffolding (Teaching Technique); High School Students; Investigations; Task Analysis
Abstract:
The process of designing an experiment is a difficult one. Students often struggle to perform such tasks as the design process places a large cognitive load on students. Scaffolding is the process of providing support for a student to allow them to complete tasks they would otherwise not have been able to complete. This study sought to investigate backwards-design, one form of scaffolding the experimental design process for students. Students were guided through the design process in a backwards manner (designing the results section first and working backwards through typical report components to the materials and safety sections). The use of reflective prompts as possible scaffold for metacognitive processes was also studied. Scaffolding was in the form of a computer application built specifically for this purpose. Four versions of the computer application were randomly assigned to 102 high school chemistry students and students were asked to the design of an experiment, producing a report. The use of backwards-design scaffolding resulted in significantly higher performance on lab reports. The addition of reflective prompts reduced the effect of backwards-design scaffolding in lower-level students.
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Pub Date: |
2012-00-00 |
Pub Type(s): |
Journal Articles; Reports - Descriptive |
Peer Reviewed: |
Yes |
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Descriptors:
Educational Technology; Assistive Technology; Visual Impairments; Blindness; Telecommunications; Handheld Devices; Computer Oriented Programs; Technological Advancement
Abstract:
Among the smart phones, the iPhone has emerged as one of the more popular smart phones. A feature that makes the iPhone popular to the user is the growing number of apps available through The App Store. Among the many apps, a number are designed for people with visual impairments. Some are free of charge, while others require payment. Compared to the equivalent assistive technology products sold on the market, these apps are less expensive and emerge as competitive alternatives. The App Store has great potential for offering useful apps to the visually impaired community. This article outlines the experience of a sighted user introducing the iPhone to a person with a visual impairment who has reservations about the touch screen interface. The steps taken in preparing oneself as an iPhone coach, and learning points, are shared. These steps may also be applicable to the iPad, and later generations of the iPod.
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Pub Date: |
2012-00-00 |
Pub Type(s): |
Journal Articles; Reports - Research |
Peer Reviewed: |
Yes |
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Descriptors:
Computer Oriented Programs; Validity; Portfolio Assessment; Internet; Interrater Reliability; Grade 11; Teacher Evaluation; High School Students; Peer Evaluation; Scores; Scoring Rubrics; Feedback (Response); Experiments; Web Based Instruction; Factor Analysis; Correlation; Educational Technology; Information Technology
Abstract:
This study explored the reliability and validity of teacher assessment under a Web-based portfolio assessment environment (or Web-based teacher portfolio assessment). Participants were 72 eleventh graders taking the "Computer Application" course. The students perform portfolio creation, inspection, self- and peer-assessment using the Web-based portfolio assessment system; meanwhile, the teachers used the assessment tool to review students' portfolios and evaluate their learning performances. The results indicated that: 1) the Web-based portfolio teacher assessment achieved an acceptable level of reliability; 2) the Web-based portfolio teacher assessment, showing a strong level of inter-rater reliability and inner-rater reliability, can be regarded as a reliable assessment method; 3) the Web-based portfolio teacher assessment demonstrated an acceptable level of validity; 4) the portfolio scores were highly consistent with students' end-of-course examination scores, implying that Web-based portfolio teacher assessment is a valid assessment method. Future studies are recommended to gain further insight into the self-built portfolios created by digital tools (e.g. PowerPoint, Word, or Frontpage software), for which effective rubrics and reliability or validity of the assessment may be also provided. (Contains 6 tables and 1 figure.)
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Pub Date: |
2012-06-00 |
Pub Type(s): |
Journal Articles; Reports - Descriptive |
Peer Reviewed: |
Yes |
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Descriptors:
Neurological Impairments; Cognitive Tests; Psychological Testing; Adults; Statistical Analysis; Test Interpretation; Reliability; Computation; Test Norms; Computer Oriented Programs
Abstract:
Supplementary methods for the analysis of the Repeatable Battery for the Assessment of Neuropsychological Status are made available, including (a) quantifying the number of abnormally low Index scores and abnormally large differences exhibited by a case and accompanying this with estimates of the percentages of the normative population expected to exhibit at least this number of low scores and large differences, (b) estimating the overall abnormality of a case's Index score profile using the Mahalanobis Distance Index (MDI), (c) reporting confidence limits on differences between a case's Index scores, and (d) offering the option of applying a sequential Bonferroni correction when testing for reliable differences. With the exception of the MDI, all the methods can be obtained using the formulas and tables provided in this article. However, for the convenience of clinicians, and to reduce the possibility of clerical error, the methods have also been implemented in a computer program. More importantly, the program allows the methods to be applied when only a subset of the Indexes is available. The program can be downloaded from www.abdn.ac.uk/~psy086/dept/RBANS_Supplementary_Analysis.htm. (Contains 1 figure, 2 tables and 2 footnotes.)
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Pub Date: |
2012-00-00 |
Pub Type(s): |
Journal Articles; Reports - Descriptive |
Peer Reviewed: |
Yes |
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Descriptors:
Bayesian Statistics; Multiple Regression Analysis; Factor Analysis; Statistical Inference; Computer Oriented Programs; Computation; Climate; Evolution; Population Distribution
Abstract:
In this article, we present a Bayes factor solution for inference in multiple regression. Bayes factors are principled measures of the relative evidence from data for various models or positions, including models that embed null hypotheses. In this regard, they may be used to state positive evidence for a lack of an effect, which is not possible in conventional significance testing. One obstacle to the adoption of Bayes factor in psychological science is a lack of guidance and software. Recently, Liang, Paulo, Molina, Clyde, and Berger (2008) developed computationally attractive default Bayes factors for multiple regression designs. We provide a web applet for convenient computation and guidance and context for use of these priors. We discuss the interpretation and advantages of the advocated Bayes factor evidence measures. (Contains 5 figures, 1 table and 11 footnotes.)
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Pub Date: |
2012-00-00 |
Pub Type(s): |
Journal Articles; Reports - Research |
Peer Reviewed: |
Yes |
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Descriptors:
College Students; Campuses; Health Materials; Access to Information; Computer Oriented Programs; Handheld Devices; Information Technology; Identification; Goodness of Fit; Access to Health Care; Young Adults; Health Promotion; Racial Differences; Information Utilization
Abstract:
Mhealth is rapidly becoming a valuable tool to increase knowledge and skills that contribute to healthy behaviors. Currently, little is known about college students' ownership and use of health apps. The primary purpose of this study was to investigate undergraduates' mhealth app usage and views. A secondary purpose was to identify any subgroup differences in mobile app use to determine who is more likely to use health apps. After surveying 1,487 students, results indicated most students own a smartphone (65.8%) or a smart device (65.4%); however, only 17% reported owning a health app. A chi-square goodness of fit test was found to be significant (p=0.0214) for race with 21% of non-whites owning health apps compared to 16% of white, non-Hispanics. Additionally, it was found that students possessing apps related to their location (weather, news...) were more likely to be interested in a health app that incorporated local and campus resources. These findings are of particular relevance as college campuses seek to increase health outcomes of their students in general and as a means to increase retention. Developing mobile health apps incorporating campus resources, a social element, and local incentives may be an effective way to improve the health of college students. (Contains 5 tables.)
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