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Journalism and media are in the midst of a major transition as citizen reporting, technology and new opportunities for profit are popping up. No matter what changes happen in the industry, journalism students need to remember the basic principles of good reporting, like writing, storytelling and investigative journalism, as well as master new media techniques and trends. Here are 40 important lectures for learning it all.

The iJIM journal aims to focus on the exchange of relevant trends and research results as well as the presentation of practical experiences gained while developing and testing elements of interactive mobile technologies. The objective of the journal is to publish and discuss fundamentals, applications and experiences in the field of interactive mobile technologies in learning and teaching as well as in industrial and other applications. iJIM is an Open Access Journal. Readers don't have to pay any fee. Only registration is necessary.

The Observatory's first project, sponsored by ebrary and Baker & Taylor and undertaken by CIBER, was to quantify the impact of the world-wide recession on libraries. The research received widespread acclaim and was in published in a number of international journals and cited in The Scientist. The topic this year, social media and how they are impacting upon research practice is just as big.The aims of this study are to answer the following questions: * are social media impacting upon researcher workflows?   * if so, how should publishers and librarians respond?* how influential are age and other factors in shaping the demand for social media?

This paper examines undergraduate student use of laptop computers during a lecture-style class that includes substantial problem-solving activities and graphic-based content. The study includes both a self-reported use component collected from student surveys as well as a monitored use component collected via activity monitoring "spyware" installed on student laptops. We categorize multitasking activities into productive (course-related) versus distractive (non course-related) tasks. Quantifiable measures of software multitasking behavior are introduced to measure the frequency of student multitasking, the duration of student multitasking, and the extent to which students engage in distractive versus productive tasks.