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Author Question: Which of the following is an accurate statement of YouTube's usefulness in the classroom setting? ... (Read 15 times)

bcretired

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Which of the following is an accurate statement of YouTube's usefulness in the classroom setting?
 
  1. Digital natives desire multimedia educational experiences.
  2. Students are uncomfortable accessing videos on YouTube.
  3. Most instructors do not see the usefulness of YouTube.
  4. YouTube videos are not relevant for classroom learning activities.

Question 2

The rate of suspected adverse drug reaction (ADR) among clients in the maternity unit is climbing.
 
  The nurse manager is aware that a World Health Organization (WHO) ADR database analyzes millions of suspected ADR reports in order to uncover new adverse effects. This WHO tracking is an example of which of the following? 1. Data scrubbing
  2. Data mining
  3. Knowledge discovery
  4. Electronic data interchange



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Joy Chen

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Answer to Question 1

1
Rationale: YouTube is an appropriate e-learning (Web 2.0) technology for nursing students. An important aspect is the ability to network with fellow students who may be anywhere around the globe. In addition, nursing students can use different senses to understand content. Digital natives are characterized by their understanding of multimedia and sophisticated skill with computer technologies. They prefer multimedia and the multi-tasking it requires and are quite comfortable using technology. In light of the needs and preferences of this twenty-first century student, engaging these students and new employees requires the nurse educator to begin exploring the use of strategies like YouTube and Second life. YouTube is a place for people to engage in new ways with video by sharing, commenting on, and viewing videos (YouTube, 2007).

Answer to Question 2

3
Rationale: Knowledge discovery is defined as the non-trivial extraction of implicit, unknown, and potentially useful information from data. Data mining is a technique that uses software to look for hidden patterns and relationships in large groups of data. Data cleansing or scrubbing is a procedure that uses software to improve the quality of data to ensure that it is accurate enough for use in data mining and warehousing. Electronic data interchange streamlines the flow of clinical and financial data from one location to another.





 

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Common abbreviations that cause medication errors include U (unit), mg (milligram), QD (every day), SC (subcutaneous), TIW (three times per week), D/C (discharge or discontinue), HS (at bedtime or "hours of sleep"), cc (cubic centimeters), and AU (each ear).

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