1,721,005 research outputs found
Effective Ways to Use Expanded Learning Time
No full textAre you interested in using expanded learning time to increase student achievement?In this archived webinar, Ben Lummis, Vice President for the National Center on Time & Learning (NCTL), and Sarah Gallagher, Program Associate at NCTL, discuss effective uses of additional learning time to:offer additional blocks of time for academic supportprovide interventions for struggling studentsmake available additional supports before the school year, after school, and on SaturdaysYou will learn key principles to guide the development of these learning time strategies and will find out about examples from elementary, middle, and high schools
Facebook and Twitter use by Public Libraries and University Libraries in New Zealand
No full text<p>This data set comprises Facebook likes and Twitter follower data for social media accounts owned by New Zealand Public Libraries and University libraries.</p><p>This data was collected on 3rd February 2016.</p><p>This data set has been shared “as is”, for educational and research purposes.</p><p>This file was created and shared by Sarah Gallagher @sarahlibrarina (University of Otago, Dunedin, New Zealand) with a Creative Commons Attribution license (CC-BY) to encourage research in scholarly communication using New Zealand content.</p
Facebook and Twitter use by University Libraries in New Zealand
No full text<p>This data set comprises Facebook likes and Twitter follower data for social media accounts owned by New Zealand University libraries.</p>
<p>This data was collected on 13th August 2015</p>
<p>This data set has been shared “as is”, for educational and research purposes.</p>
<p> This file was created and shared by Sarah Gallagher @sarahlibrarina (University of Otago, Dunedin, New Zealand) with a Creative Commons Attribution license (CC-BY) to encourage research in scholarly communication using New Zealand content.</p>
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Making Choices to Prioritize Learning Time for Students
No full textHow can school districts, unions, and schools collaborate to create innovative time and prioritize expanded learning time for students?Budgets, staffing, and negotiated agreements don't have to place strict limits on the length of the school day.In this archived webinar on expanded learning time, Ben Lummis, Vice President for the National Center on Time & Learning (NCTL), and Sarah Gallagher, Program Associate at NCTL, share a framework for flexibly thinking about resources to maximize the length of your school day.Lummis and Gallagher discuss strategies that have allowed expanded time schools to stretch their resources and gain additional learning time for students while staying within their budgets and abiding by their contracts.Some strategies explored are:Leveraging partnershipsUse of technologyAdjusting staff schedule
"No Irish Need Apply" incidence of NINA statements in New Zealand Newspapers
No full text<p>This data set comprises the results for the phrase "No Irish Need Apply" in New Zealand newspapers that are available digitally through Papers Past.</p>
<p>“Papers Past contains more than three million pages of digitised New Zealand newspapers and periodicals. The collection covers the years 1839 to 1948 and includes 119 publications from all regions of New Zealand.”[1]</p>
<p>The search was conducted on 10 August 2015 and netted 262 results from years 1847-1934. The data set has not been de-duplicated.</p>
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<p>This data set has been shared “as is”, for educational and research purposes.</p>
<p>This file was created and shared by Sarah Gallagher @sarahlibrarina (University of Otago, Dunedin, New Zealand) with a Creative Commons Attribution license (CC-BY) to encourage research in digital humanities using New Zealand content and for educational purposes.</p>
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<p>Endnotes:</p>
<p>[1] Papers Past http://paperspast.natlib.govt.nz/</p
Using Additional Teacher Collaboration Time to Improve Student Achievement
No full textWould you like to know more about using additional teacher collaboration time effectively to improve instruction and accelerate student achievement?In this archived webinar, Ben Lummis, Vice President for the National Center on Time & Learning (NCTL), and Sarah Gallagher, Program Associate at NCTL, share how more time can be best used to improve teacher collaboration and professional development.The webinar explores the essential components of productive teacher time through examples of effective practices at both elementary and high schools.The key principles for effectively expanding learning time are highlighted:Add significantly more learning time for all studentsMake every minute countCapitalize on increased learning time by using data to individualize instruction and provide tiered supportProvide more time with quality teaching when allocating resource
Twitter archive from Future of Libraries Summit, #Fol15 held at The Michael Fowler Centre, Wellington, New Zealand, 31 July 2015
No full text<p>This file contains a data set of 1800 tweets (1136 unique tweets) tagged with #Fol15 (case not sensitive) that were published on Twitter between 26/07/2015 23:21:06 and 04/08/2015 03:12:21 GMT.</p>
<p>This file was created and shared by Sarah Gallagher @sarahlibrarina (University of Otago, Dunedin, New Zealand) with a Creative Commons Attribution license (CC-BY) to encourage research in scholarly communication and for educational purposes.</p>
<p>The Tweets contained in this file were collected using Martin Hawksey’s [@mhawksey] TAGS 6.0 http://tags.hawksey.info/</p>
<p>An automatic deduplication has been performed and spam tweets have been manually reoved. Despite this intervention data may require further refining. The contents of each Tweet are responsibility of the original authors. This data set has been shared “as is”, for educational and research purposes.</p>
<p>As noted by Priego (2014) “both research and experience show that the Twitter search API isn't 100% reliable. Large tweet volumes affect the search collection process. The API might "over-represent the more central users", not offering "an accurate picture of peripheral activity" (González-Bailón, Sandra, et al. 2012).” Therefore there is no guarantee that this file all Tweets tagged with (#Fol15) during the indicated period. This dataset is shared to encourage open research into scholarly activity on Twitter.</p>
<p>If you use or refer to this data in any way please cite using the preferred citation above.</p>
<p>Contact: @sarahlibrarina</p
Twitter archive from the People in Disasters Conference #PIDC2016, 24-27 February 2016
No full textThis file contains a data set of 280 tweets
tagged with #PIDC2016 (case not sensitive) that were published on Twitter
between 23/02/2016 10:01:34 and 26/02/2016 GMT.
This file was created and shared by Sarah
Gallagher @sarahlibrarina (University of Otago, Dunedin, New Zealand) with a
Creative Commons Attribution license (CC-BY) to encourage research in scholarly
communication and for educational purposes.
The Tweets contained in this file were
collected using Martin Hawksey’s [@mhawksey] TAGS 6.0 http://tags.hawksey.info/
Spam tweets have been manually removed.
Despite this intervention data may require further refining. The contents of
each Tweet are responsibility of the original authors. This data set has been
shared “as is”, for educational and research purposes.
As noted by Priego (2014) “both research
and experience show that the Twitter search API isn't 100% reliable. Large
tweet volumes affect the search collection process. The API might
"over-represent the more central users", not offering "an
accurate picture of peripheral activity" (González-Bailón, Sandra, et al.
2012).” Therefore there is no guarantee that this file all Tweets tagged with
(#PIDC2016) during the indicated period. This dataset is shared to encourage
open research into scholarly activity on Twitter.
If you use or refer to this data in any way
please cite using the preferred citation above.
Contact: @sarahlibrarina
</p
Twitter archive for Women's March #womensmarch - the global protest, 21 January 2017
No full textThis file contains a data set of 38606 tweets tagged with #womensmarch (case not sensitive) that were published on Twitter between 21/01/2017 20:45:23 and 22/01/2017 08:16:53 GMT.This data set was created and shared by Sarah Gallagher @sarahlibrarina (University of Otago, Dunedin, New Zealand) with a Creative Commons Attribution license (CC-BY) “as is” to encourage open research into scholarly activity on Twitter.The Tweets contained in this file were collected using Martin Hawksey’s [@mhawksey] TAGS v6.1 http://tags.hawksey.info/Duplicates have been automatically removed. Despite this intervention data may require further refining. The contents of each Tweet are responsibility of the original authors. As noted by Priego (2014) “both research and experience show that the Twitter search API isn't 100% reliable. Large tweet volumes affect the search collection process. The API might "over-represent the more central users", not offering "an accurate picture of peripheral activity" (González-Bailón, Sandra, et al. 2012). Therefore there is no guarantee that this file contains all Tweets tagged with (#womensmarch) during the indicated period. If you use or refer to this data in any way please cite it using the preferred citation above.Contact: @sarahlibrarina</div
Twitter archive from UX Design Day in Dunedin 31 October 2014 #UXDD
No full text<p>This file contains a data set of 913 tweets (890 unique tweets) tagged with @uxdesignday OR #uxdd OR #uxdesignday (case not sensitive) that were published on Twitter between 24 October 2014 03:18:33 and 31 October 2014 20:03:31 GMT.</p>
<p>This file was created and shared by Sarah Gallagher (University of Otago, Dunedin, New Zealand), “as is”, with a Creative Commons- Attribution license (CC-BY) for academic research and educational use. The Tweets contained in this file were collected using Martin Hawksey’s [@mhawksey] TAGS 6.0 http://tags.hawksey.info/</p>
<p>An automatic deduplication has been performed but data may require further refining. Retweets have been retained. The contents of each Tweet are responsibility of the original authors.</p>
<p>As noted by Priego [1] “both research and experience show that the Twitter search API isn't 100% reliable. Large tweet volumes affect the search collection process. The API might "over-represent the more central users", not offering "an accurate picture of peripheral activity" (González-Bailón, Sandra, et al. 2012).” Therefore there is no guarantee that this file all Tweets tagged with (@uxdesignday OR #uxdd OR #uxdesignday) during the indicated period. This dataset is shared to encourage open research into scholarly activity on Twitter.</p>
<p>If you use or refer to this data in any way please cite using the prefered citation above.</p>
<p>Contact: @sarahlibrarina</p>
<p>[1] Priego, Ernesto (2014): A #HEFCEmetrics Twitter Archive. figshare. http://dx.doi.org/10.6084/m9.figshare.1196029.</p
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