This paper presents language learners as social networkers and describes and discusses the types of users that can be identified by analysing the content created by them using a situated mobile language learning app, LingoBee, based on the idea of crowd sourcing. Borrowing ideas from other studies conducted on social network users, we can identify…

With the rise of social media and the need for statewide program cohesiveness, The Ohio State University Extension has the opportunity to position itself as a catalyst for technology adoption and adaptation nationwide. Unfortunately, many barriers exist to the successful use and implementation of technology, including an organizational structure…