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concept turned out <strong>to</strong> be effective. Third year<br />

students do remember very well what they felt <strong>to</strong> be<br />

difficult <strong>to</strong> understand <strong>in</strong> their first and second year<br />

basic science modules. As a result they feel very<br />

motivated and responsible <strong>to</strong> teach their younger<br />

peers. They also managed <strong>to</strong> expla<strong>in</strong> the cl<strong>in</strong>ical<br />

relevance of basic science concepts explicitly. Expert<br />

teachers often do this more implicitly based on<br />

pattern recognition skills. Develop<strong>in</strong>g the video<br />

presentation turned out <strong>to</strong> be time and cost<br />

efficient. The digital materials can be repeated by<br />

the students over and over, <strong>in</strong>dependent from time<br />

and place.<br />

CONCLUSIONS<br />

Present<strong>in</strong>g difficult basic science concepts <strong>in</strong><br />

relation <strong>to</strong> cl<strong>in</strong>ical syndromes by third year medical<br />

students turns out <strong>to</strong> be effective. This summer the<br />

recorded materials will be implemented as blended<br />

learn<strong>in</strong>g materials <strong>in</strong> the three cl<strong>in</strong>ical courses and<br />

will be made available <strong>to</strong> the students through the<br />

Blackboard Learn<strong>in</strong>g Environment. At the end of<br />

each course the presentations will be evaluated<br />

us<strong>in</strong>g a survey among the students.<br />

E-Learn<strong>in</strong>g Abstract ID: 176 eDemo<br />

STUDENT DOCTOR NETWORK: SOCIAL<br />

NETWORK SEMANTIC ANALYSIS<br />

Ryan Kirk and Amanda Fales-Williams, Iowa State<br />

University, Ames, Iowa, USA<br />

PURPOSE<br />

Websites such as Student Doc<strong>to</strong>r Network (SDN)<br />

provide professional and pre-professional students<br />

<strong>in</strong> medical fields an onl<strong>in</strong>e community for<br />

<strong>in</strong><strong>format</strong>ion exchange and support. Awareness of<br />

student discussions on medical-specific social media<br />

sites may help adm<strong>in</strong>istra<strong>to</strong>rs recognize themes<br />

relat<strong>in</strong>g <strong>to</strong> academic stress, external pressures, debt<br />

awareness, and self-imposed professional<br />

expectations of their peers.<br />

METHODS<br />

We accessed data from thousands of Pre-Veter<strong>in</strong>ary<br />

forum posts on SDN, represent<strong>in</strong>g roughly 1000<br />

users' comments dur<strong>in</strong>g 2011. We exam<strong>in</strong>ed how<br />

users were <strong>in</strong>terconnected via forum conversations<br />

us<strong>in</strong>g first-order logic <strong>to</strong> propagate connections. The<br />

data was parsed, cleaned and organized us<strong>in</strong>g<br />

natural language process<strong>in</strong>g techniques. Through<br />

facet<strong>in</strong>g the data and us<strong>in</strong>g probabilistic latent<br />

semantic analysis, we statistically exam<strong>in</strong>ed<br />

temporal and semantic patterns with<strong>in</strong> these data.<br />

F<strong>in</strong>ally, we used <strong>to</strong>ols from artificial <strong>in</strong>telligence <strong>to</strong><br />

graph the five statistically-derived most important<br />

concepts connect<strong>in</strong>g each user and forum <strong>in</strong><strong>to</strong> a<br />

s<strong>in</strong>gle network diagram.<br />

RESULTS<br />

The various data distillation techniques employed<br />

reduced the data from tens of thousands of data<br />

po<strong>in</strong>ts <strong>in</strong><strong>to</strong> a few hundred <strong>in</strong>terconnected ideas<br />

represent<strong>in</strong>g how socially constructed concepts are<br />

semantically and temporally <strong>in</strong>terconnected.<br />

CONCLUSIONS<br />

This technique allows a s<strong>in</strong>gle graph <strong>to</strong> display the<br />

type, importance, and number of connections, and<br />

the amount of data for each node. This allows<br />

subjective <strong>in</strong>terpretations of student discussions <strong>to</strong><br />

be visualized semi-quantitatively. For <strong>in</strong>stance, SDN<br />

Pre-Veter<strong>in</strong>ary conversations are overall focused on<br />

veter<strong>in</strong>ary school application (process-centered)<br />

rather than on specific veter<strong>in</strong>ary concepts (contentcentered).<br />

E-Learn<strong>in</strong>g Abstract ID: 177<br />

SOCIAL MEDIA AS A SUPPORT FOR<br />

REFLECTIVE PRACTICE AMONG FIRST-<br />

YEAR MEDICAL STUDENTS<br />

Mary T. Johnson, Ph.D. Des Mo<strong>in</strong>es University<br />

College of Osteopathic Medic<strong>in</strong>e; Maggie<br />

Blackburn, M.D., Terri Johnson, M.S., Debralee<br />

Laseur, B.M. Florida State University College of<br />

Medic<strong>in</strong>e, FL, USA<br />

PURPOSE<br />

This study exam<strong>in</strong>ed the use of the Yammer social<br />

network<strong>in</strong>g platform for first year medical students<br />

<strong>to</strong> share experiences, reflections and assignments <strong>in</strong><br />

a cl<strong>in</strong>ical and experiential learn<strong>in</strong>g course. Social<br />

network<strong>in</strong>g can enable persistent communication<br />

that enhances learn<strong>in</strong>g. We used qualitative<br />

research methods <strong>to</strong> analyze student messages for<br />

evidence that medical students construct mean<strong>in</strong>g<br />

through brief communications mediated by social<br />

network<strong>in</strong>g.<br />

METHODS<br />

120 first year medical students spent 3 weeks <strong>in</strong> an<br />

emersion experience with community-based<br />

primary care precep<strong>to</strong>rs, supplemented by a<br />

distance learn<strong>in</strong>g component. Precep<strong>to</strong>rs were<br />

spread across a wide geographical area. Students<br />

were asked <strong>to</strong> share their experiences us<strong>in</strong>g<br />

microblog reflections posted on Yammer.<br />

Reflections were evaluated by cod<strong>in</strong>g and thematic<br />

analysis us<strong>in</strong>g NVivo software.<br />

Medical Science Educa<strong>to</strong>r © <strong>IAMSE</strong> 2012 Volume 22(4S) 307

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