{"id":179,"date":"2014-01-24T15:14:42","date_gmt":"2014-01-24T15:14:42","guid":{"rendered":"http:\/\/eastmidslt.wordpress.com\/?p=179"},"modified":"2023-01-05T14:37:59","modified_gmt":"2023-01-05T14:37:59","slug":"ltfe-whats-my-identity-exploring-the-identity-of-a-learning-technologist-through-the-analysis-of-a-tweet","status":"publish","type":"post","link":"https:\/\/altc.alt.ac.uk\/blog\/2014\/01\/ltfe-whats-my-identity-exploring-the-identity-of-a-learning-technologist-through-the-analysis-of-a-tweet\/","title":{"rendered":"#LTFE: What\u2019s my identity? Exploring the identity of a Learning Technologist through the analysis of a tweet."},"content":{"rendered":"

By\u00a0Geraldine Murphy, Rachel Challen and David Hopkins.<\/em><\/p>\n

Methodology<\/strong>
\nBased on David Hopkins previous blog posts about perceived identities of Learning Technologists, the #LTFE project was developed to explore this\u00a0conundrum in Further Education. The outcomes of the #LTFE project were based\u00a0on qualitative data that was collected through the capture and archiving of\u00a0Twitter posts from October 2013-November 2013, using a tagging system on\u00a0Google docs. The TAG (Twitter Archiving Google Spreadsheet) system, developed\u00a0by Martin Hawksey, allows the user to archive Twitter posts using specific search\u00a0functions. There is also an inbuilt analytics spreadsheet page that allows you to\u00a0see the top Tweeters, number of links, number of Re-Tweets, unique Tweets and\u00a0average Tweets per person, which proved to be a valuable tool for the research\u00a0variables in extracting and comparing report data.<\/p>\n

The data was gathered by performing automatic searches, set to specific\u00a0requirements, of all Tweets containing the hash tag #LTFE; all non-case sensitive\u00a0tweets were also included within the searches. The data was archived into a\u00a0spreadsheet that generated #LTFE specific statistical data, including number of\u00a0Re-Tweets and links, as well as user data containing information on Twitter user,\u00a0time stamp, Re-Tweets and specific status URL\u2019s. Due to the archiving of such\u00a0personal data, this project had to adhere to the Data Protection Act of 1998,\u00a0acknowledging that all of the data that the tag system would pull-in and store for\u00a0this project would remain anonymous and confidential and stored in a password\u00a0protected file.<\/p>\n

Having very basic prior knowledge to the inner workings of scripts, the research\u00a0team was anxious of how complex the set-up would be and kept in mind from the\u00a0offset how useful this tool would be to educators in gathering data about their\u00a0students relationships\/use of the Twitter medium. The setting up of the system\u00a0was straightforward, the basic requirements to get started were a Google\u00a0account, a Twitter account and a copy of the TAGS script which is available from\u00a0here:<\/p>\n

http:\/\/mashe.hawksey.info\/2013\/02\/twitter-archive-tagsv5\/comment-page-1\/<\/a><\/p>\n

What is new in version 5 of this script is that the user requires authentication\u00a0from the Twitter account you wish to draw data from, this was the most complex\u00a0part of the set up, particularly if social media sites are restricted within the\u00a0educational institution. The instructions on how to gather the Twitter\u00a0authentication is shown on the first section of page 1 of the TAGs Google\u00a0spreadsheet as shown in the image below:<\/p>\n

\"#LTFE:<\/a><\/p>\n

For more information on how to create and run a TAG system visit:<\/p>\n

http:\/\/mashe.hawksey.info\/category\/google\/google-apps-script\/page\/2\/<\/a><\/p>\n

\"#LTFE:<\/a><\/p>\n

What makes this tool particularly fascinating relates directly to the nature of\u00a0social media and its power to share information to large audiences in real-time. \u00a0When social media is used to gather data in such an open way, researchers \u00a0inevitably employ an accidental sampling strategy. Although sampling occurs \u00a0\u2018accidently\u2019- participants are \u2018selected\u2019 or self-selected due to their \u00a0appropriateness and suitability- not to mention their access to \u00a0and participation in social media formats. The nature of social media creates a \u2018snowball\u2019 sampling\u00a0effect as project links and hashtags are shared, or \u2018retweeted\u2019 between followers \u00a0and it is this process that allows the chain to continue. Importantly, it is the use \u00a0of this snowball sampling effect which is \u201cessentially social because it both uses \u00a0and activates existing social networks\u201d (Noy 2007, p7) as a collection tool that \u00a0held the potential to enable the small-scale project to access a larger sample and\u00a0thus generate a higher volume of response.<\/p>\n

The full case study is currently under peer review for the ALT Journal under the \u00a0title “#LTFE: What\u2019s my identity? Exploring the identity of a Learning \u00a0Technologist through the analysis of a tweet”<\/strong>.<\/p>\n","protected":false},"excerpt":{"rendered":"By\u00a0Geraldine Murphy, Rachel Challen and David Hopkins. Methodology Based on David Hopkins previous blog posts about perceived identities of Learning Technologists, the #LTFE project was developed to explore this\u00a0conundrum in Further Education. The outcomes of the #LTFE project were based\u00a0on qualitative data that was collected through the capture and archiving of\u00a0Twitter posts from October 2013-November […]","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[1429,1317],"tags":[721,1555,1127,1121,1570,1336,1085,1310,1571,971,974,1214],"class_list":["post-179","post","type-post","status-publish","format-standard","hentry","category-altemidlands","category-online-learning","tag-alt","tag-association-for-learning-technology","tag-david-hopkins","tag-geraldine-murphy","tag-idnetity","tag-journal","tag-learning-technologist","tag-learning-technology","tag-martin-hawksey","tag-rachel-challen","tag-research","tag-twitter"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":4192,"url":"https:\/\/altc.alt.ac.uk\/blog\/2014\/09\/learning-technologist-of-the-year-2014-team-award\/","url_meta":{"origin":179,"position":0},"title":"Learning Technologist of the Year 2014 – Team Award","author":"ALT","date":"9 September 2014","format":false,"excerpt":"The Northampton LearnTech Team are winners in the team category of the 2014 ALT Learning Technologist of the Year Award. 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