Posts Tagged ‘research’

media literacy guide

The Global Critical Media Literacy Educators’ Resource Guide

http://gcml.org/the-global-critical-media-literacy-educators-resource-guide/

  • Introduction
  • About the GCMLP
  • Contacts for GCMLP Publication
  • Methods of Media Manipulation
  • Breaking the Corporate News Frame: Project Censored’s Networked News Commons
  • Validated Independent News Story Assignment
  • How to Find, Evaluate, and Summarize Validated Independent News Stories
  • Validated Independent News Story Grading Rubric
  • Validated Independent News Story Grading Criteria
  • Student Guide For Evaluating Web Sources
  • ‘Becoming the Media:’ Experiential Learning through Media Criticism and Political Activism During National Presidential Elections
  • ACME Classroom Activities: Challenging Big Media and News Censorship
  • Digging Deeper: Politico-Corporate Media Manipulation, Critical Thinking, and Democracy
  • Service Learning: The SUNY Buffalo State and Project Censored Partnership
  • Commodifying the Public Sphere Through Advertising and Commercial Media
  • Group Advertisement Assignment
  • Junk Food News Assignment
  • News Abuse Assignment
  • Meme Assignment
  • Solutions Video Project
  • Video Summary Assignment
  • Ethics Alerts: Applied Learning Opportunity in Higher Education
  • Ethics Alert Assignment
  • Critical Analysis of Gender Stereotypes on Television Assignment
  • Critical Analysis of Race, Ethnicity, and Class Stereotypes in Entertainment
  • 18 Fun and Easy Classroom Activities for Media Education
  • Five Ways to Flex Your Media Literacy Muscles
  • List of Independent and Corporate News and News Criticism Outlets
  • GCMLP Biographies and Participating Institutions
  • GCMLP Event on Your Campus Instructions
  • Sacred Heart University Graduate Program
  • Media Education for a Digital Generation Book Flyer

Regular Pages: https://www.dropbox.com/s/jp5isqrn6ijv9lx/ACMEbookFINAL101215.pdf?dl=0

Spreads:  https://www.dropbox.com/s/enya4iyyxahg8ik/ACMEbookFINAL101215SPREADS.pdf?dl=0

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more on media literacy in this IMS blog
http://blog.stcloudstate.edu/ims?s=media+literacy

qualitative method research

Cohort 7

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Qualitative Method Research

quote

Data treatment and analysis

Because the questionnaire data comprised both Likert scales and open questions, they were analyzed quantitatively and qualitatively. Textual data (open responses) were qualitatively analyzed by coding: each segment (e.g. a group of words) was assigned to a semantic reference category, as systematically and rigorously as possible. For example, “Using an iPad in class really motivates me to learn” was assigned to the category “positive impact on motivation.” The qualitative analysis was performed using an adapted version of the approaches developed by L’Écuyer (1990) and Huberman and Miles (1991, 1994). Thus, we adopted a content analysis approach using QDAMiner software, which is widely used in qualitative research (see Fielding, 2012; Karsenti, Komis, Depover, & Collin, 2011). For the quantitative analysis, we used SPSS 22.0 software to conduct descriptive and inferential statistics. We also conducted inferential statistics to further explore the iPad’s role in teaching and learning, along with its motivational effect. The results will be presented in a subsequent report (Fievez, & Karsenti, 2013)

Fievez, A., & Karsenti, T. (2013). The iPad in Education: uses, benefits and challenges. A survey of 6057 students and 302 teachers in Quebec, Canada (p. 51). Canada Research Chair in Technologies in Education. Retrieved from https://www.academia.edu/5366978/The_iPad_in_Education_uses_benefits_and_challenges._A_survey_of_6057_students_and_302_teachers_in_Quebec_Canada

unquote

 The 20th century notion of conducting a qualitative research by an oral interview and then processing manually your results had triggered in the second half of the 20th century [sometimes] condescending attitudes by researchers from the exact sciences.
The reason was the advent of computing power in the second half of the 20th century, which allowed exact sciences to claim “scientific” and “data-based” results.
One of the statistical package, SPSS, is today widely known and considered a magnificent tools to bring solid statistically-based argumentation, which further perpetuates the superiority of quantitative over qualitative method.
At the same time, qualitative researchers continue to lag behind, mostly due to the inertia of their approach to qualitative analysis. Qualitative analysis continues to be processed in the olden ways. While there is nothing wrong with the “olden” ways, harnessing computational power can streamline the “olden ways” process and even present options, which the “human eye” sometimes misses.
Below are some suggestions, you may consider, when you embark on the path of qualitative research.
The Use of Qualitative Content Analysis in Case Study Research
Florian Kohlbacher
http://www.qualitative-research.net/index.php/fqs/article/view/75/153

excellent guide to the structure of a qualitative research

Palys, T., & Atchison, C. (2012). Qualitative Research in the Digital Era: Obstacles and Opportunities. International Journal Of Qualitative Methods, 11(4), 352-367.
http://login.libproxy.stcloudstate.edu/login?qurl=http%3a%2f%2fsearch.ebscohost.com%2flogin.aspx%3fdirect%3dtrue%26db%3dkeh%26AN%3d89171709%26site%3dehost-live%26scope%3dsite
Palys and Atchison (2012) present a compelling case to bring your qualitative research to the level of the quantitative research by using modern tools for qualitative analysis.
1. The authors correctly promote NVivo as the “jaguar’ of the qualitative research method tools. Be aware, however, about the existence of other “Geo Metro” tools, which, for your research, might achieve the same result (see bottom of this blog entry).
2. The authors promote a new type of approach to Chapter 2 doctoral dissertation and namely OCR-ing PDF articles (most of your literature as of 2017 is mostly either in PDF or electronic textual format) through applications such as
Abbyy Fine Reader, https://www.abbyy.com/en-us/finereader/
OmniPage,  http://www.nuance.com/for-individuals/by-product/omnipage/index.htm
Readirus http://www.irislink.com/EN-US/c1462/Readiris-16-for-Windows—OCR-Software.aspx
The text from the articles is processed either through NVIVO or related programs (see bottom of this blog entry). As the authors propose: ” This is immediately useful for literature review and proposal writing, and continues through the research design, data gathering, and analysis stages— where NVivo’s flexibility for many different sources of data (including audio, video, graphic, and text) are well known—of writing for publication” (p. 353).
In other words, you can try to wrap your head around huge amount of textual information, but you can also approach the task by a parallel process of processing the same text with a tool.
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Here are some suggestions for Computer Assisted / Aided Qualitative Data Analysis Software (CAQDAS) for a small and a large community applications):

– RQDA (the small one): http://rqda.r-forge.r-project.org/ (see on youtube the tutorials of Metin Caliskan); one active developper.
GATE (the large one): http://gate.ac.uk/ | https://gate.ac.uk/download/

text mining: https://en.wikipedia.org/wiki/Text_mining
Text mining, also referred to as text data mining, roughly equivalent to text analytics, is the process of deriving high-quality information from text. High-quality information is typically derived through the devising of patterns and trends through means such as statistical pattern learning. Text mining usually involves the process of structuring the input text (usually parsing, along with the addition of some derived linguistic features and the removal of others, and subsequent insertion into a database), deriving patterns within the structured data, and finally evaluation and interpretation of the output.
https://ischool.syr.edu/infospace/2013/04/23/what-is-text-mining/
Qualitative data is descriptive data that cannot be measured in numbers and often includes qualities of appearance like color, texture, and textual description. Quantitative data is numerical, structured data that can be measured. However, there is often slippage between qualitative and quantitative categories. For example, a photograph might traditionally be considered “qualitative data” but when you break it down to the level of pixels, which can be measured.
word of caution, text mining doesn’t generate new facts and is not an end, in and of itself. The process is most useful when the data it generates can be further analyzed by a domain expert, who can bring additional knowledge for a more complete picture. Still, text mining creates new relationships and hypotheses for experts to explore further.

quick and easy:

intermediate:

advanced:

http://tidytextmining.com/

Introduction to GATE Developer  https://youtu.be/o5uhMF15vsA


 

use of RapidMiner:

https://rapidminer.com/pricing/

– Coding Analysis Toolkit (CAT) from University of Pittsburgh and University of Massachusetts
– Raven’s Eye is an online natural language ANALYSIS tool based
– ATLAS.TI
– XSIGTH

– QDA Miner: http://provalisresearch.com/products/qualitative-data-analysis-software/

There is also a free version called QDA Miner Lite with limited functionalities: http://provalisresearch.com/products/qualitative-data-analysis-software/freeware/

– MAXQDA

–  NVivo

– SPSS Text Analytics

– Kwalitan

– Transana (include video transcribing capability)

– XSight

– Nud*ist

(Cited from: https://www.researchgate.net/post/Are_there_any_open-source_alternatives_to_Nvivo [accessed Apr 1, 2017].

– OdinText

IBM Watson Conversation
IBM Watson Text to Speech
Google Translate API
MeTA
LingPipe
NLP4J
Timbl
Colibri Core
CRF++
Frog
Ucto
– CRFsuite

– FoLiA
PyNLPl
openNLP
NLP Compromise
MALLET
Cited from: https://www.g2crowd.com/products/nvivo/competitors/alternatives [accessed April 1, 2017
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more on quantitative research:

Asamoah, D. A., Sharda, R., Hassan Zadeh, A., & Kalgotra, P. (2017). Preparing a Data Scientist: A Pedagogic Experience in Designing a Big Data Analytics Course. Decision Sciences Journal of Innovative Education, 15(2), 161–190. https://doi.org/10.1111/dsji.12125
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literature on quantitative research:
Borgman, C. L. (2015). Big Data, Little Data, No Data: Scholarship in the Networked World. MIT Press. https://mplus.mnpals.net/vufind/Record/ebr4_1006438
St. Cloud State University MC Main Collection – 2nd floor AZ195 .B66 2015
p. 161 Data scholarship in the Humanities
p. 166 When Are Data?
Philip Chen, C. L., & Zhang, C.-Y. (2014). Data-intensive applications, challenges, techniques and technologies: A survey on Big Data. Information Sciences, 275(Supplement C), 314–347. https://doi.org/10.1016/j.ins.2014.01.015

academic search engines

Educational Technology and Mobile Learning educatorstechnology.com · Dec 23, 2016

https://www.pinterest.com/pin/71072500350222752/

10 Great Academic Search Engines for Research Students

https://scholar.google.com/ | https://eric.ed.gov/ | http://www.virtuallrc.com/ | http://www.citeulike.org/ | http://jurn.org/  |   http://academic.research.microsoft.com/  | https://www.loc.gov/  |  https://www.refseek.com/  |  http://www.sciencedirect.com/  | https://www.academia.edu/  |  https://www.researchgate.net/

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more about research in this IMS blog
http://blog.stcloudstate.edu/ims?s=research

limitations and delimitations in research

Shortly:
Limitations are influences that the researcher cannot control.   They are the shortcomings, conditions or influences that cannot be controlled by the researcher that place restrictions on your methodology and conclusions. Any limitations that might influence the results should be mentioned.
Delimitations are choices made by the researcher which should be mentioned. They describe the boundaries that you have set for the study.
Assumptions are accepted as true, or at least plausible, by researchers and peers who will read your dissertation or thesis.

More:
https://www.bcps.org/offices/lis/researchcourse/develop_writing_methodology_limitations.html

https://www.phdstudent.com/Choosing-a-Research-Design/stating-the-obvious-writing-assumptions-limitations-and-delimitations/Page-2

http://dissertationrecipes.com/wp-content/uploads/2011/04/AssumptionslimitationsdelimitationsX.pdf

Dissertation Guidelines
http://www.regent.edu/acad/schedu/pdfs/residency/su09/dissertation_guidelines.pdf

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more on dissertation research in this IMS blog
http://blog.stcloudstate.edu/ims?s=dissertation+research

research how to

also: http://bit.ly/edad829

Are Q&A startups a threat to Google?

search

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– The Internet

– Google Scholar https://scholar.google.com/

  • web sites (Web 1.0)

– blogs, listservs etc (Web 2.0)

– social media

– YouTube https://www.youtube.com/ and similar

– e.g. SCSU streaming : http://www.stcloudstate.edu/library/research/video.aspx

– Q&A plaforms such as Quora https://www.quora.com/, AskScience https://www.reddit.com/r/askscience/, Medium, PeerPong and similar

– Reddit https://www.reddit.com/, Digg http://digg.com/ , StackExchange http://stackexchange.com/ , Mahalo CompanyKngine.com   and similar

– Google Search, Yahoo Answers and similar

– Wikipedia

– Facebook groups, LinkedIn groups and similar

– SlideShare https://www.slideshare.net/  and similar

 

 

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more on the research process in this IMS blog:
http://blog.stcloudstate.edu/ims?s=search 

Save

research and literature review

Roberts, C. (2010). The Dissertation Journey. A Practical and Comprehensive Guide to Planing, Writing, and Defending Your Dissertation. Corwin, Thousand Oaks, CA.

Chapter 9.

Purpose and scope

We talked about “themes” and the need to be careful with breaking them into “subthemes”: if you do a historical overview, avoid chunking it into “dates” and rather keep the thematic relation. Make sure that the relate to your topic; that’s why it is good to keep your title (even if preliminary), outline (even if in progress), thesis (even if under work) etc. on the first page of your Chapter 2 manuscript / draft.

  1. 87

Writing a conceptual framework from Wylie Tidwell, III

Formulate your research question / thesis
https://drive.google.com/open?id=0B7IvS0UYhpxFNGhCZ01fWTBzSjg

basic academic research

Opinion: How basic academic research leads to innovation

Infographics Workshops: Interpret and Present Data

How do you present the idea of your research and intertwine it with data in a cohesive, interesting way? Join us in a short session to learn effective communication through infographics using data visualization and design.

Location: Miller Center 205

Wednesday, February 18 2-2:45pm
Thursday, March 19 11-11:45am
Tuesday, April 14, 10-10:45am
Thursday, April 30, 10-10:45am

Register or see more information here:
http://lrts.stcloudstate.edu/library/general/ims/default.asp

How BYOD Programs Can Fuel Inquiry Learning | Four Smart Ways to Use Cell Phones in Class. Backchanneling.

How BYOD Programs Can Fuel Inquiry Learning. Backchanneling.

http://blogs.kqed.org/mindshift/2014/01/how-byod-programs-can-fuel-inquiry-learning/

creating a learner profile, a set of criteria the school district wanted students to learn while in school. That profile includes: seek knowledge and understanding; think critically and solve problems; listen, communicate, and interact effectively; exhibit strong personal qualities; and engage and compete in a global environment. The profile helps guide all approaches to learning in the district.

Kids already know how to use their devices, but they don’t know how to learn with their devices,” Clark said in an edWeb webinar. It’s the teacher’s role to help them discover how to connect to content, one another and learning with a device that they may have only used for texting and Facebook previously. “It’s about the kids being empowered in the classroom to make decisions about the ways that they are learning,”

Four Smart Ways to Use Cell Phones in Class

http://blogs.kqed.org/mindshift/2012/11/four-smart-ways-to-use-cell-phones-in-class/

IN-CLASS POLLING/QUIZZING.

IN-CLASS BACK-CHANNELINGBackchanneling refers to the use of networks & social media to maintain an online, real-time conversation alongside spoken remarks.

IN-CLASS READINGS AND HANDOUTS. Smartphones can also be used productively in the classroom as eReaders for books and handouts. You can place all student handouts into DropBox folders (see “Dropbox A Multi-Tool for Educators”).

ORGANIZING RESEARCH. 

Using Google Docs for backchanneling with students:

http://www.educatorstechnology.com/2014/04/this-is-how-to-use-google-docs-to.html

10 ways to employ backchanneling in  classroom instruction.

  1. Poll students on a particular classroom event or on a decision regarding their learning
  2. Crowdsource feedback on learning activities and use this input to inform your future instructional strategies.
  3. Backchanneling empowers students voice and make them feel they are real participants in the knowledge building taking place in the class.
  4. Conduct informat assessments .
  5. Assess students prior knowledge about a given topic.
  6. Brainstorm ideas for a writing project.
  7. Encourage students to ask questions about anything they did not understand.
  8. Hold synchronous discussions of video content shared in class
  9. Organize real time discussions in class.
  10. Backchanneling is a good way to engage introverts and shy students in classroom conversations.