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ELI 2018 Key Issues Teaching Learning

Key Issues in Teaching and Learning

https://www.educause.edu/eli/initiatives/key-issues-in-teaching-and-learning

A roster of results since 2011 is here.

ELI 2018 key issues

1. Academic Transformation

2. Accessibility and UDL

3. Faculty Development

4. Privacy and Security

5. Digital and Information Literacies

https://cdn.nmc.org/media/2017-nmc-strategic-brief-digital-literacy-in-higher-education-II.pdf
Three Models of Digital Literacy: Universal, Creative, Literacy Across Disciplines

United States digital literacy frameworks tend to focus on educational policy details and personal empowerment, the latter encouraging learners to become more effective students, better creators, smarter information consumers, and more influential members of their community.

National policies are vitally important in European digital literacy work, unsurprising for a continent well populated with nation-states and struggling to redefine itself, while still trying to grow economies in the wake of the 2008 financial crisis and subsequent financial pressures

African digital literacy is more business-oriented.

Middle Eastern nations offer yet another variation, with a strong focus on media literacy. As with other regions, this can be a response to countries with strong state influence or control over local media. It can also represent a drive to produce more locally-sourced content, as opposed to consuming material from abroad, which may elicit criticism of neocolonialism or religious challenges.

p. 14 Digital literacy for Humanities: What does it mean to be digitally literate in history, literature, or philosophy? Creativity in these disciplines often involves textuality, given the large role writing plays in them, as, for example, in the Folger Shakespeare Library’s instructor’s guide. In the digital realm, this can include web-based writing through social media, along with the creation of multimedia projects through posters, presentations, and video. Information literacy remains a key part of digital literacy in the humanities. The digital humanities movement has not seen much connection with digital literacy, unfortunately, but their alignment seems likely, given the turn toward using digital technologies to explore humanities questions. That development could then foster a spread of other technologies and approaches to the rest of the humanities, including mapping, data visualization, text mining, web-based digital archives, and “distant reading” (working with very large bodies of texts). The digital humanities’ emphasis on making projects may also increase

Digital Literacy for Business: Digital literacy in this world is focused on manipulation of data, from spreadsheets to more advanced modeling software, leading up to degrees in management information systems. Management classes unsurprisingly focus on how to organize people working on and with digital tools.

Digital Literacy for Computer Science: Naturally, coding appears as a central competency within this discipline. Other aspects of the digital world feature prominently, including hardware and network architecture. Some courses housed within the computer science discipline offer a deeper examination of the impact of computing on society and politics, along with how to use digital tools. Media production plays a minor role here, beyond publications (posters, videos), as many institutions assign multimedia to other departments. Looking forward to a future when automation has become both more widespread and powerful, developing artificial intelligence projects will potentially play a role in computer science literacy.

6. Integrated Planning and Advising Systems for Student Success (iPASS)

7. Instructional Design

8. Online and Blended Learning

In traditional instruction, students’ first contact with new ideas happens in class, usually through direct instruction from the professor; after exposure to the basics, students are turned out of the classroom to tackle the most difficult tasks in learning — those that involve application, analysis, synthesis, and creativity — in their individual spaces. Flipped learning reverses this, by moving first contact with new concepts to the individual space and using the newly-expanded time in class for students to pursue difficult, higher-level tasks together, with the instructor as a guide.

Let’s take a look at some of the myths about flipped learning and try to find the facts.

Myth: Flipped learning is predicated on recording videos for students to watch before class.

Fact: Flipped learning does not require video. Although many real-life implementations of flipped learning use video, there’s nothing that says video must be used. In fact, one of the earliest instances of flipped learning — Eric Mazur’s peer instruction concept, used in Harvard physics classes — uses no video but rather an online text outfitted with social annotation software. And one of the most successful public instances of flipped learning, an edX course on numerical methods designed by Lorena Barba of George Washington University, uses precisely one video. Video is simply not necessary for flipped learning, and many alternatives to video can lead to effective flipped learning environments [http://rtalbert.org/flipped-learning-without-video/].

Myth: Flipped learning replaces face-to-face teaching.

Fact: Flipped learning optimizes face-to-face teaching. Flipped learning may (but does not always) replace lectures in class, but this is not to say that it replaces teaching. Teaching and “telling” are not the same thing.

Myth: Flipped learning has no evidence to back up its effectiveness.

Fact: Flipped learning research is growing at an exponential pace and has been since at least 2014. That research — 131 peer-reviewed articles in the first half of 2017 alone — includes results from primary, secondary, and postsecondary education in nearly every discipline, most showing significant improvements in student learning, motivation, and critical thinking skills.

Myth: Flipped learning is a fad.

Fact: Flipped learning has been with us in the form defined here for nearly 20 years.

Myth: People have been doing flipped learning for centuries.

Fact: Flipped learning is not just a rebranding of old techniques. The basic concept of students doing individually active work to encounter new ideas that are then built upon in class is almost as old as the university itself. So flipped learning is, in a real sense, a modern means of returning higher education to its roots. Even so, flipped learning is different from these time-honored techniques.

Myth: Students and professors prefer lecture over flipped learning.

Fact: Students and professors embrace flipped learning once they understand the benefits. It’s true that professors often enjoy their lectures, and students often enjoy being lectured to. But the question is not who “enjoys” what, but rather what helps students learn the best.They know what the research says about the effectiveness of active learning

Assertion: Flipped learning provides a platform for implementing active learning in a way that works powerfully for students.

9. Evaluating Technology-based Instructional Innovations

Transitioning to an ROI lens requires three fundamental shifts
What is the total cost of my innovation, including both new spending and the use of existing resources?

What’s the unit I should measure that connects cost with a change in performance?

How might the expected change in student performance also support a more sustainable financial model?

The Exposure Approach: we don’t provide a way for participants to determine if they learned anything new or now have the confidence or competence to apply what they learned.

The Exemplar Approach: from ‘show and tell’ for adults to show, tell, do and learn.

The Tutorial Approach: Getting a group that can meet at the same time and place can be challenging. That is why many faculty report a preference for self-paced professional development.build in simple self-assessment checks. We can add prompts that invite people to engage in some sort of follow up activity with a colleague. We can also add an elective option for faculty in a tutorial to actually create or do something with what they learned and then submit it for direct or narrative feedback.

The Course Approach: a non-credit format, these have the benefits of a more structured and lengthy learning experience, even if they are just three to five-week short courses that meet online or in-person once every week or two.involve badges, portfolios, peer assessment, self-assessment, or one-on-one feedback from a facilitator

The Academy Approach: like the course approach, is one that tends to be a deeper and more extended experience. People might gather in a cohort over a year or longer.Assessment through coaching and mentoring, the use of portfolios, peer feedback and much more can be easily incorporated to add a rich assessment element to such longer-term professional development programs.

The Mentoring Approach: The mentors often don’t set specific learning goals with the mentee. Instead, it is often a set of structured meetings, but also someone to whom mentees can turn with questions and tips along the way.

The Coaching Approach: A mentor tends to be a broader type of relationship with a person.A coaching relationship tends to be more focused upon specific goals, tasks or outcomes.

The Peer Approach:This can be done on a 1:1 basis or in small groups, where those who are teaching the same courses are able to compare notes on curricula and teaching models. They might give each other feedback on how to teach certain concepts, how to write syllabi, how to handle certain teaching and learning challenges, and much more. Faculty might sit in on each other’s courses, observe, and give feedback afterward.

The Self-Directed Approach:a self-assessment strategy such as setting goals and creating simple checklists and rubrics to monitor our progress. Or, we invite feedback from colleagues, often in a narrative and/or informal format. We might also create a portfolio of our work, or engage in some sort of learning journal that documents our thoughts, experiments, experiences, and learning along the way.

The Buffet Approach:

10. Open Education

Figure 1. A Model for Networked Education (Credit: Image by Catherine Cronin, building on
Interpretations of
Balancing Privacy and Openness (Credit: Image by Catherine Cronin. CC BY-SA)

11. Learning Analytics

12. Adaptive Teaching and Learning

13. Working with Emerging Technology

In 2014, administrators at Central Piedmont Community College (CPCC) in Charlotte, North Carolina, began talks with members of the North Carolina State Board of Community Colleges and North Carolina Community College System (NCCCS) leadership about starting a CBE program.

Building on an existing project at CPCC for identifying the elements of a digital learning environment (DLE), which was itself influenced by the EDUCAUSE publication The Next Generation Digital Learning Environment: A Report on Research,1 the committee reached consensus on a DLE concept and a shared lexicon: the “Digital Learning Environment Operational Definitions,

Figure 1. NC-CBE Digital Learning Environment

video length for online courses

From: The EDUCAUSE Blended and Online Learning Constituent Group Listserv <BLEND-ONLINE@LISTSERV.EDUCAUSE.EDU> on behalf of Robert, Jenay <jrr296@PSU.EDU>
Sent: Wednesday, September 5, 2018 9:58:49 AM

Dear colleagues,

I am collaborating on a project comparing the efficacy of two types of instructional videos. We are looking for literature that describes similar research. For example, a study might compare students who have watched voice-over ppt slides and students who have watched Khan-style videos, examining students’ content knowledge and/or some affective constructs. Alternatively, a study might compare the lengths or speeds of only one type of video.

Given the dearth of literature addressing these variables, I am hoping this community can help us uncover some additional research for our literature review. I am happy to compile and share everything that is shared with me over the coming days.

Jenay Robert, Ph.D. Research Project Manager Teaching and Learning with Technology  The Pennsylvania State University

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Clossen, A. S. (2018). Trope or Trap? Roleplaying Narratives and Length in Instructional Video. Information Technology & Libraries37(1), 27-38.

It is impossible to please everyone all the time—at least that is what survey results suggest. There are several takeaways to this study: Video length matters, especially as a consideration before the video is viewed. Timestamps should be included in video creation, or it is highly likely that the video will not be viewed. The video player is key here, as some video players include video length, while others do not. Videos that exceed four minutes are unlikely to be viewed unless they are required. Voice quality in narration matters. Although preference in type of voice inevitably varies, the actor’s voice is noticed over production value. It is important that the narrator speaks evenly and clearly. For brief how-to videos, there is a small preference for screencast instructional videos over a narrative roleplay scenario. The results of the survey indicate that roleplay videos should be wellproduced, brief, and high quality. However, what constitutes high quality is not very well established.15 Finally, screencast videos should include an example scenario, however brief, to ground the viewer in the task.

Lin, S., Aiken, J. M., Seaton, D. T., Douglas, S. S., Greco, E. F., Thoms, B. D., & Schatz, M. F. (2017). Exploring Physics Students’ Engagement with Online Instructional Videos in an Introductory Mechanics Course. Physical Review Physics Education Research13(2), 020138-1.

Kruse, N. B., & Veblen, K. K. (2012). Music teaching and learning online: Considering YouTube instructional videos. Journal Of Music, Technology & Education5(1), 77-87. doi:10.1386/jmte.5.1.77_1

Buzzetto-More, N. A. (2014). An Examination of Undergraduate Student’s Perceptions and Predilections of the Use of YouTube in the Teaching and Learning Process. Interdisciplinary Journal Of E-Learning & Learning Objects1017-32.

Chekuri, C., & Tiecheng, L. (2007). Extracting content from instructional videos by statistical modelling and classification. Pattern Analysis & Applications10(2), 69-81.

My note; too old as data but interesting as methodology

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more on chunk theory in this IMS blog
https://blog.stcloudstate.edu/ims?s=chunk+theory

specifically Adobe’s “findings” : https://blog.stcloudstate.edu/ims/2018/01/17/microlearning-instructional-design/

corporate monopoly or public control net neutrality

Net Neutrality is just the beginning

Interview with Victor Pickard

Victor Pickard, associate professor of communication at the University Pennsylvania’s Annenberg School, whose research focuses on internet policy and the political economy of media.

https://www.academia.edu/35305972/Net_Neutrality_Is_Just_the_Beginning

https://www.jacobinmag.com/2017/11/net-neutrality-fcc-ajit-pai-monopoly

with each new victory for the American telecommunications oligopoly, that digital optimism fades further from view.

Definition:

Net neutrality protections are essentially safeguards that prevent internet service providers (ISPs) from interfering with the internet. Net neutrality gives the FCC the regulatory authority to prevent ISPs like Comcast and Verizon from slowing down or blocking certain types of content. It also prevents them from offering what’s known as paid prioritization, where an ISP could let particular websites or content creators pay more for faster streaming and download times. With paid prioritization an ISP could shake down a company like Netflix or an individual website owner, coercing them to pay more in order to be in the fast lane.

Net neutrality often gets treated as a sort of technocratic squabble over ownership and control of internet pipes. But in fact it speaks to a core social contract between government, corporations, and the public. What it really comes down to is, how can members of the public obtain information and services, and express ourselves creatively and politically, without interference from massive corporations?

Should we think of the internet as a good, a service, an infrastructure, or something else?

It’s all of the above.

The internet has been radically privatized. It wasn’t inevitable, but through policy decisions over the years, the internet has become increasingly commodified. Meanwhile it’s really difficult to imagine living in modern society without fast internet services — it’s no longer a luxury but a necessity for everything ranging from education to health to livelihood. The “digital divide” is a phrase that sounds like it’s from the 1990s, but it’s still very relevant. Somewhere around one fifth of American households don’t have access to wireline broadband services. It’s a social problem. We should be thinking about the internet as a public service and subsidizing it to make sure that everyone has access.

In your recent book on media democracy, you discuss the rise of what you call “corporate libertarianism.” What is corporate libertarianism and how does it relate to net neutrality?

Corporate libertarianism is an ideological project that has origins at a core moment in the 1940s. It sees corporations as having individual freedoms, like those in the First Amendment, which they can use to shield themselves from public interest oversight and regulation. It’s also often connected to this assumption that the government should never intervene in markets, and media markets in particular. (My note: Milton Friedman)

Of course, this is a libertarian mythology — the government is always involved. The question ought to be how it should be involved. Under corporate libertarianism it’s assumed that the government should only be involved in ways that enhance profit maximization for communication oligopolies.

There are clear dangers associated with vertical integration, where the company that owns the pipes is able to control the dissemination of information, and able to set the terms by which we access that information.
There have been cases like this already. In 2005, the company Telus, which is the second largest telecommunications company in Canada, began blocking access to a server that hosted a website that supported a labor strike against Telus.

Net neutrality is just one part of the story. What other regulations, policies and interventions could resist corporate control of the internet?

Roughly half of Americans live in communities that have access to only one ISP.  My note: Ha Ha Ha, “pick me, pick me,” as Dori from “Finding Nemo” will say… Charter, whatever they will rename themselves again, is the crass example in Central MN.

Strategies to contain and confront monopolies:

  • break them up, and to prevent monopolies and oligopolies from happening in the first place by blocking mergers and acquisitions.
  • if we’re not going to outright nationalize them then we want to heavily regulate them, and enforce some kind of social contract where they’re compelled to provide a public service in exchange for the right to operate.
  • create public alternatives, like municipal wireless networks that can circumvent and compete with corporate monopolies. There’s a growing number of these publicly owned and governed internet infrastructures, and building more is crucial.

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more on #netNeutrality in this IMS blog
https://blog.stcloudstate.edu/ims?s=netneutrality

policies online program

How did your institution decide which courses should be converted or designed to be blended and or online?  Did you have a particular process, form, or department who made those decisions?

Dana Gullo, M.S.I.T. Senior Instructional Designer  York College of Pennsylvania 441 Country Club Road Office: PAC 181C York, PA 17403

Hi Dana:  Here at Albright College we have 2 processes. For the traditional program, faculty must get the course approved by the dept chair before it can be offered online. I just need an email from the chair before I will sign a course development agreement with them. Payment is another story. Normally there is a development stipend but if the faculty member wants to keep sole ownership of the course, no stipend is paid. If the administration feels the course would not get good enrollment, they can also decide to not give a stipend. Courses in the traditional program can only be offered online during J term or summer, not fall or spring. For now.

For the non-traditional program, the Director of the program gives approval for courses to be offered online and they can only be gen eds which are offered online here. But if they are designed for the non-traditional, they will need permission to be offered online on the traditional side.

Sounds confusing but we are only in our 3rd year of online courses. There are many more processes and procedures we have developed. If you want to chat, email me off list.

Michele Mislevy Director of Digital Learning & Innovation Information Technology Services
Albright College 610-921-7542

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At Binghamton University, academic departments decide if a course should be offered in a blended or online format. There is no process or form that I am aware of, unless individual departments have one. We do not have a separate online or distance learning office that oversees all online courses like some other universities. LMS support is provided by ITS; pedagogical support is provided by the Center for Learning and Teaching.
Most of our online courses are offered in the winter and summer terms. I believe there is only one certificate program in the social work department that is fully online, everything else is just individual courses. This is changing now, as our nursing school is deciding to create some online programs.
Andrea MacArgel
 Instructional Designer Center for Learning and Teaching
 Binghamton University LN 1324A (607) 777-5099
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more on online learning in this IMS blog
https://blog.stcloudstate.edu/ims?s=online+learning

digital access to nonprint collections

Digital Access to Non-Print Collections

University libraries have held collections of books and printed material throughout their existence and continue to be perceived as repositories for physical collections.  Other non-print specialized collections of interest have been held in various departments on campus such as Anthropology, Art, and Biology due to the unique needs of the collections and their usage.  With the advent of electronic media, it becomes possible to store these non-print collections in a central place, such as the Libray.

The skills needed to curate artifacts from an archeological excavation, biological specimens from various life forms, and sculpture work are very different, making it difficult for smaller university libraries to properly hold, curate, and make available such collections.  In addition, faculty in the various departments tend to want those collections near their coursework and research, so it can be readily available to students and researchers. With the expansion of online learning, the need for such availability becomes increasingly pronounced.

With the advent of 3 dimensional (3D) scanners, it has become possible for a smaller library to hold digital representations of these collections in an archive that can be curated from the various departments by experts in the discipline.  The Library can then make the digital representations available to other researchers, students, and the public through kiosks in the Library or via the Internet.  Current methods to scan and store an artifact in 3Dstill require expertise not often found in a Library.

We propose to use existing technology to build an easy-to-use system to scan smaller artifacts in 3D.  The project will include purchase and installation of a workstation in the Library where the artifact collection can be accessed using a large touch-screen monitor, and a portable, easy-to-use 3D scanning station.  Curators of collections from various departments on the St. Cloud State University campus can check out the scanning station, connect to power and Internet where the collection is located, and scan their collection into the libraries digital archives, making the collection easily available to students, other researchers and the public.

The project would include assembly of two workstations previously mentioned and potentially develop the robotic scanner.  Software would be produced to automate the workflow from the scanner to archiving the digital representation and then make the collection available on the Internet.

This project would be a collaboration between the St. Cloud State University Library (https://www.stcloudstate.edu/library/  and  Visualization Laboratory (https://www.facebook.com/SCSUVizLab/). The project would use the expertise and services of the St. Cloud State Visualization Laboratory.  Dr. Plamen Miltenoff, a faculty with the Library will coordinate the Library initiatives related to the use of the 3D scanner. Mark Gill, Visualization Engineer, and Dr. Mark Petzold, Associate Professor of Electrical and Computer Engineering will lead a group of students in developing the software to automate the scanning, storage, and retrieval of the 3D models.  The Visualization Lab has already had success in 3D scanning objects for other departments and in creating interactive displays allowing retrieval of various digital content, including 3D scanned objects such animal skulls and video. A collaboration between the Library, VizLab and the Center for Teaching and Learning (, https://www.stcloudstate.edu/teaching/) will enable campus faculty to overcome technical and financial obstacles. It will promote the VizLab across campus, while sharing its technical resources with the Library and making those resources widely available across campus. Such work across silos will expose the necessity (if any) of standardization and will help faculty embrace stronger collaborative practices as well as spur the process of reproduction of best practices across disciplines.

Budget:

Hardware Cost
42” Touch Screen Monitor $2200
Monitor Mount $400
2 Computer Workstations $5000
Installation $500
Cart for Mobile 3D Scanner $1000
3D Scanner (either purchase or develop in-house) $2000
Total $11100

 

The budget covers two computer workstations.  One will be installed in the library as a way to access the digital catalog, and will include a 42 inch touch screen monitor mounted to a wall or stand.  This installation will provide students a way to interact with the models in a more natural way.  The second workstation would be mounted on a mobile cart and connected to the 3D scanner.  This would allow collection curators from different parts of campus to check out the scanner and scan their collections.  The ability to bring the scanner to the collection would increase the likelihood  the collections to be scanned into the library collection.

The 3D scanner would either be purchased off-the shelf or designed by a student team from the Engineering Department.  A solution will be sought to use and minimize the amount of training the operator would need.  If the scanner is developed in-house, a simple optical scanner such as an XBox Kinect device and a turntable or robotic arm will be used.  Support for the XBox Kinect is built into Microsoft Visual Studio, thus creating the interface efficient and costeffective.

Timeline

Task Start Time End Time
Catalog Software October 2017 December 2017
Scanner Interface October 2017 March 2018
Web Interface January 2018 May 2018
System Installation March 2018 May 2018

Personnel

Plamen Miltenoff, Ph.D., MLIS

pmiltenoff@stcloudstate.edu

320-308-3072

Dr. Miltenoff is part of a workgroup within the academic library, which works with faculty, students and staff on the application of new technologies in education. Dr. Miltenoff’s most recent research with Mark Gill is on the impact of Video 360 on students during library orientation: http://web.stcloudstate.edu/pmiltenoff/bi/

 

Mark Petzold, Ph.D.
mcpetzold@stcloudstate.edu
320-308-4182
Dr. Petzold is an Associate Professor in Electrical and Computer Engineering.  His current projects involve visualization of meteorological data in a virtual reality environment and research into student retention issues.  He is co-PI on a $5 million NSF S-STEM grant which gives scholarships to low income students and investigates issues around student transitions to college.

Mark Gill

mcgill@stcloudstate.edu

320-308-5605

Mr. Gill is a Visualization Engineer for the College of Science and Engineering and runs the Visualization Laboratory.  He has worked for several major universities as well as Stennis Space Center and Mechdyne, Inc.  He holds a Masters of Science in Software Engineering.

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University of Nevada, Reno and Pennsylvania State University 41 campus libraries to include collaborative spaces where faculty and students gather to transform virtual ideas into reality.

Maker Commons in the Modern Library: Six Reasons 3D Printers Should be in Your School’s Library

Maker Commons in the Modern Library 6 REASONS 3D PRINTERS SHOULD BE IN YOUR LIBRARY

1. Librarians Know How to Share 2. Librarians Work Well with IT People 3. Librarians Serve Everybody 4. Librarians Can Fill Learning Gaps 5. Librarians like Student Workers 6. Librarians are Cross-Discipline

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more on grants in this IMS blog
https://blog.stcloudstate.edu/ims?s=grant

intro text encoding

Instructor: John Russell     Dates: August 7 to September 1, 2017

Credits: 1.5 CEUs Price: $175 http://libraryjuiceacademy.com/133-text-encoding.php

This course will introduce students to text encoding according to the Text Encoding Initiative (TEI) Guidelines. Why should you care about text encoding or the TEI Guidelines? The creation of digital scholarly texts is a core part of the digital humanities and many digital humanities grants and publications require encoding texts in accordance with the TEI Guidelines. Students in this course will learn about the use-cases for text encoding and get a basic introduction to the principles of scholarly editing before moving on to learning some XML basics and creating a small-scale TEI project using the XML editor oXygen. We will not cover (beyond the very basics) processing TEI, and students interested in learning about XSLT and/or XQuery should turn to the LJA courses offered on those subjects. This course as this course is intended as a follow up to the Introduction to Digital Humanities for Librarians course, but there are no prerequisites, and the course is open to all interested.

Objectives:

– A basic understanding of digital scholarly editing as an academic activity.

– Knowledge of standard TEI elements for encoding poetry and prose.

– Some engagement with more complex encoding practices, such as working with manuscripts.

– An understanding of how librarians have participated in text encoding.

– Deeper engagement with digital humanities practices.

John Russell is the Associate Director of the Center for Humanities and Information at Pennsylvania State University. He has been actively involved in digital humanities projects, primarily related to text encoding, and has taught courses and workshops on digital humanities methods, including “Introduction to Digital Humanities for Librarians.”

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TEI: http://teibyexample.org/  Text Encoding Initiative

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more on digital humanities in this IMS blog
https://blog.stcloudstate.edu/ims?s=digital+humanities

qualitative method research

Cohort 7

By miltenoff | View this Toon at ToonDoo | Create your own Toon

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 https://www.qsrinternational.com/

(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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http://www.socresonline.org.uk/3/3/4.html
Christine A. Barry (1998) ‘Choosing Qualitative Data Analysis Software: Atlas/ti and Nudist Compared’
Sociological Research Online, vol. 3, no. 3, <http://www.socresonline.org.uk/3/3/4.html&gt;

Pros and Cons of Computer Assisted Qualitative Data Analysis Software

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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

fake news

Most students can’t tell fake news from real news, study shows

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Most students can’t tell fake news from real news, study shows

A Stanford study found that the majority of middle school students can’t tell the difference between real news and fake news. In fact, 82 percent couldn’t distinguish between a real news story on a website and a “sponsored content” post.

The WSJ: Of the 8,704 students studied (ranging in age from middle school to college level), four in ten high-school students believed that the region near Japan’s Fukushima nuclear plant was toxic after seeing an unsourced photo of deformed daisies coupled with a headline about the Japanese area. The photo, keep in mind, had no source or location attribution. Meanwhile, two out of every three middle-schoolers were fooled by an article on financial preparedness penned by a bank executive.

But with 62 percent of U.S. adults getting the majority of their news from social media, the responsibility for this issue also lies with the social media organizations themselves, such as Facebook and Twitter. Both Google and Facebook have made steps toward thwarting the fake news onslaught, including banning fake news organizations from their ad network.

Even in minuscule amounts, fake news has a much greater ability to spread quickly and be consumed by many given the nature of the salacious headlines themselves.

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more on fake news in this IMS blog:
https://blog.stcloudstate.edu/ims?s=fake+news

digital humanities for librarians

Introduction to Digital Humanities for Librarians

Instructor: John Russell Dates: April 3rd to 28th, 2017 Credits: 1.5 CEUs Price: $175

http://libraryjuiceacademy.com/112-digital-humanities.php

Digital humanities (DH) has been heralded as the next big thing in humanities scholarship and universities have been creating initiatives and new positions in this field. Libraries, too, have moved to create a presence in the digital humanities community, setting up centers and hiring librarians to staff them. This course is designed as an introduction for librarians or library school students who have little or no exposure to DH and wish to be better positioned to offer DH support or services in a library setting. Participants will read and discuss DH scholarship, learn about frequently-used software, and think about why and how libraries and librarians engage DH. While I will encourage participants to explore more complex computing approaches (and I will support those who do as best I can), this course does not presuppose computing skills such as programming or use of the command line and will not ask participants to do much more than upload files to websites or install and use simple programs. Participants should have an interest and background in humanities scholarship and humanities librarianship and while the readings will focus on activities in the United States, our discussions can be more geographically wide-ranging.

Objectives:

– A basic knowledge of what digital humanities is and how it effects scholarship in the humanities disciplines.

– Exposure to core tools and approaches used by digital humanists.

– An understanding of how libraries and librarians have been involved with digital humanities.

– Critical engagement with the role of librarians and libraries in digital humanities.

This class has a follow-up, Introduction to Text Encoding

http://libraryjuiceacademy.com/133-text-encoding.php

John Russell is the Associate Director of the Center for Humanities and Information at Pennsylvania State University. He has been actively involved in digital humanities projects, primarily related to text encoding, and has taught courses and workshops on digital humanities methods, including “Introduction to Digital Humanities for Librarians.”

Read an interview with John Russell about this class:

http://libraryjuiceacademy.com/news/?p=769

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more on digital humanities in this IMS blog
https://blog.stcloudstate.edu/ims?s=digital+humanities

Alternative Education

‘Alternative’ Education: Using Charter Schools to Hide Dropouts and Game the System

School officials nationwide dodge accountability ratings by steering low achievers to alternative programs. In Orlando, Florida, the nation’s tenth-largest district, thousands of students who leave alternative charters run by a for-profit company aren’t counted as dropouts.

This story was co-published with USA Today.

https://www.propublica.org/article/alternative-education-using-charter-schools-hide-dropouts-and-game-system

Accelerated Learning Solutions (ALS), a more than $1.5 million-a-year “management fee,” 2015 financial records show — more than what the school spends on instruction.

alternative schools at times become warehouses where regular schools stow poor performers to avoid being held accountable.

Concerns that schools artificially boosted test scores by dumping low achievers into alternative programs have surfaced in connection with ongoing litigation in Louisiana and Pennsylvania, and echo findings from a legislative report a decade ago in California. The phenomenon is borne out by national data: While the number of students in alternative schools grew moderately over the past 15 years, upticks occurred as new national mandates kicked in on standardized testing and graduation rates.

The role of charter alternative schools like Sunshine — publicly funded but managed by for-profit companies — is likely to grow under the new U.S. Secretary of Education, Betsy DeVos, an ardent supporter of school choice. In her home state of Michigan, charter schools have been responsible in part for a steep rise in the alternative school population. She recently portrayed Florida as a national model for charters and choice.

No Child Left Behind was supposed to improve educational outcomes for students long overlooked — including those who were black, Hispanic and low-income.

Nationwide, nearly a third of the alternative-school population attends a school that spends at least $500 less per pupil than regular schools do in the same district. Forty percent of school districts with alternative schools provide counseling services only in regular schools. Charter alternative schools — both virtual and bricks-and-mortar — in Ohio, Georgia and Florida have been accused of collecting public money for students who weren’t in classes.

Orlando schools are not unique in using alternative programs to remove struggling students from traditional classrooms. As far back as 2007, a legislative report in California warned that the state’s accountability system allowed traditional schools to shirk responsibility for low-performing students by referring them to alternative schools. The state is currently reviewing its standards for alternative schools.

Companies running schools in this niche often save costs by relying on computer programs that reduce the need for credentialed teachers. The market can be lucrative: As enrollment grew, ALS’ management fees from the schools it operates in Orange County more than doubled from $2.5 million in the 2012 school year to $5.4 million in 2015. The company says the fees pay for back-office services, such as human resources, as well as school-based support for areas such as curriculum, reading, math, security, and professional development.

The company’s affiliate — the controversial Nashville-based Community Education Partners, or CEP — contracted with school districts to serve students with behavior problems. The company, founded by a lawyer and Republican Party operative named Randle Richardson, ran schools for students who had committed disciplinary violations in cities such as Atlanta, Philadelphia, Houston and Orlando for more than a decade. Critics called CEP’s schools prison-like and dangerous, and charged that their academics were sub-par.

 

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more on charter schools in this blog
https://blog.stcloudstate.edu/ims?s=charter+schools

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