Academic social bookmarking: An empirical analysis of Connotea users

Three groups of social bookmarking users, namely experienced users, users with moderate level of experience, and novice users, were investigated, in terms of their reported tagging behaviors, perceived usefulness of social bookmarking in information discovery and management, and perceived usefulness of the bookmarking features provided. Based on the empirical analysis of the Connotea users, who are primarily in academia, the study shows that experienced academic users generally prefer to use social bookmarking while moderately experienced and novice users still prefer to use the traditional bookmarking methods, such as creating and using bookmarks on a dedicated computer. Experienced academic users were also found to create more tags per bookmark comparing to the other two groups. Most novice academic users, however, only created one tag per bookmark, which just met Connotea's minimum requirement. Surprisingly different from the collaborative design nature of the social bookmarking systems, the study finds that our participants, particularly experienced academic users, prefer to create and use their own bookmarks rather than sharing bookmarks created by others. In fact, experienced users have significantly higher frequency (once every two weeks) of creating bookmarks than the other two groups (once a month or less). In addition, website design features and functions, such as automatic collection of bibliographic information, are regarded by all participants as helpful for information discovery. The in-depth examination and discussion of the opinions of Connotea users may be useful for further improvement of the design features and usage applications, particularly for academic social bookmarking websites. The results may also have potential implications to the future development of social bookmarking services in general.     

SYSTEM ACTIVITIES AND EDUCATION

A paradoxical situation has emerged as new conditions of human interaction affirm themselves. Even though precise knowledge is available, we seem to be unable to put it to efficient use and to invest it in practical undertakings. The professional incompetence and functional illiteracy of otherwise educated people, decision‐makers included, have reached massive proportions.     

The influence of the school in the decision to participate in learning post‐16

The primary aim of this study, funded by the Department for Education and Skills, was to identify the nature and influence of school‐based factors in the choices of young people about their post‐16 education, training and career pathways. The study also contributes to the wider understanding of ‘choice’, and identifies implications for the development of careers education and guidance and decision‐making awareness amongst pupils and students in schools. It also further enhances the modelling of pupil decision making in education and training markets, and in labour markets. The research is based on a series of qualitative interviews in 24 schools across nine local education authorities. Focus groups were undertaken with young people in years 10, 11 and 12. Interviews were also conducted with head teachers, heads of year and heads of careers. A postal survey of parents was also undertaken. Four key school‐based factors were found to have a very strong influence in the choices and decisions of young people about their post‐16 education, training and career pathways. These were: whether the school had a sixth form or not; the characteristics of school leadership, ethos and values; the socio‐economic status (SES) of the schools' catchment; and the organisation and delivery of careers education and guidance at the school level. In the main, high SES schools see themselves as developing pupils for academic university careers, while low SES schools maintain a rather stronger commitment to vocational pathways. The academic ethos of schools offers a very powerful influence on post‐16 choices and decisions of pupils. The usual interventions put in place to influence choices and decisions appear to have greater impact in schools with a less robust academic vision.     

The Use of Different Translation Devices to Analyze Knowledge-Building in a University Chemistry Classroom

Research in Science Education - This research draws on Legitimation Code Theory (LCT) to understand the epistemic dimension of the higher education classroom discourse of a professor who is well...     

The Use of a Mobile Learning Tool by Medical Students in Undergraduate Anatomy and its Effects on Assessment Outcomes

Hand-held devices have revolutionized communication and education in the last decade. Consequently, mobile learning (m-learning) has become popular among medical students. Nevertheless, there are relatively few studies assessing students' learning outcomes using m-learning devices. This observational study presents an anatomy m-learning tool (eMed-App), an application developed to accompany an anatomy seminar and support medical students' self-directed learning of the skeletal system. Questionnaire data describe where, how frequently, and why students used the app. Multiple choice examination results were analyzed to evaluate whether usage of the app had an effect on test scores. The eMed-App application was used by 77.5% of the students, mainly accessed by Android smartphones, and at students' homes (62.2%) in order to prepare themselves for seminar sessions (60.8%), or to review learning content (67%). Most commonly, students logged on for less than 15 minutes each time (67.8%). Frequent app users showed better test results on items covering eMed-App learning content. In addition, users also achieved better results on items that were not related to the content of the app and, thus, gained better overall test results and lower failure rates. The top quartile of test performers used the eMed-App more frequently compared to students in lower quartiles. This study demonstrated that many students, especially the high-performing ones, made use of the eMed-App. However, the app itself did not result in better outcomes, suggesting that top students might have been more motivated to use the app than students who were generally weak in anatomy.     

VALIDATION OF THE SOCIAL AND EMOTIONAL HEALTH SURVEY FOR FIVE SOCIOCULTURAL GROUPS: MULTIGROUP INVARIANCE AND LATENT MEAN ANALYSES

Social‐emotional health influences youth developmental trajectories and there is growing interest among educators to measure the social‐emotional health of the students they serve. This study replicated the psychometric characteristics of the Social Emotional Health Survey (SEHS) with a diverse sample of high school students (Grades 9–12; N = 14,171), and determined whether the factor structure was invariant across sociocultural and gender groups. A confirmatory factor analysis (CFA) tested the fit of the previously known factor structure, and then structural equation modeling was used to test invariance across sociocultural and gender groups through multigroup CFAs. Results supported the SEHS measurement model, with full invariance of the SEHS higher‐order structure for all five sociocultural groups. There were no moderate effect size or higher group differences on the overall index for sociocultural or gender groups, which lends support to the eventual development of common norms and universal interpretation guidelines.     

Assessing Precollege Science Education Outreach Initiatives: A Funder's Perspective

We describe an assessment of the collective impact of 35 grants that the Howard Hughes Medical Institute (HHMI) made to biomedical research institutions in 1999 to support precollege science education outreach programs. Data collected from funded institutions were compared with data from a control group of institutions that had advanced to the last stage of review but had not been funded. The survey instrument and the results reveal outcomes and impacts that HHMI considers relevant for these programs. The following attributes are considered: ability to secure additional, non-HHMI funding; institution buy-in as measured by gains in dedicated space and staff; enhancement of the program director''s career; number and adoption of educational products developed; number of related publications and awards; percentage of programs for which teachers received course credit; increase in science content knowledge; and increase in student motivation to study science.