Media literacy. Differentiated instruction. Media literacy guide.
Fake news as part of media literacy. Visual literacy as part of media literacy. Media literacy as part of digital citizenship.
Web design / web development
the roles of HTML5, CSS, Java Script, PHP, Bootstrap, JQuery, React and other scripting languages and libraries. Heat maps and other usability issues; website content strategy. THE MODEL-VIEW-CONTROLLER (MVC) design pattern
Social media for institutional use. Digital Curation. Social Media algorithms. Etiquette Ethics. Mastodon
I hosted a LITA webinar in the fall of 2016 (four weeks); I can accommodate any information from that webinar for the use of the IM students
OER and instructional designer’s assistance to book creators.
I can cover both the “library part” (“free” OER, copyright issues etc) and the support / creative part of an OER book / textbook
“Big Data.” Data visualization. Large scale visualization. Text encoding. Analytics, Data mining. Unizin. Python, R in academia.
I can introduce the students to the large idea of Big Data and its importance in lieu of the upcoming IoT, but also departmentalize its importance for academia, business, etc. From infographics to heavy duty visualization (Primo X-Services API. JSON, Flask).
NetNeutrality, Digital Darwinism, Internet economy and the role of your professional in such environment
I can introduce students to the issues, if not familiar and / or lead a discussion on a rather controversial topic
Digital assessment. Digital Assessment literacy.
I can introduce students to tools, how to evaluate and select tools and their pedagogical implications
Wikipedia
a hands-on exercise on working with Wikipedia. After the session, students will be able to create Wikipedia entries thus knowing intimately the process of Wikipedia and its information.
Effective presentations. Tools, methods, concepts and theories (cognitive load). Presentations in the era of VR, AR and mixed reality. Unity.
I can facilitate a discussion among experts (your students) on selection of tools and their didactically sound use to convey information. I can supplement the discussion with my own findings and conclusions.
eConferencing. Tools and methods
I can facilitate a discussion among your students on selection of tools and comparison. Discussion about the their future and their place in an increasing online learning environment
Digital Storytelling. Immersive Storytelling. The Moth. Twine. Transmedia Storytelling
I am teaching a LIB 490/590 Digital Storytelling class. I can adapt any information from that class to the use of IM students
VR, AR, Mixed Reality.
besides Mark Gill, I can facilitate a discussion, which goes beyond hardware and brands, but expand on the implications for academia and corporate education / world
Instructional design. ID2ID
I can facilitate a discussion based on the Educause suggestions about the profession’s development
Microcredentialing in academia and corporate world. Blockchain
IT in K12. How to evaluate; prioritize; select. obsolete trends in 21 century schools. K12 mobile learning
Podcasting: past, present, future. Beautiful Audio Editor.
a definition of podcasting and delineation of similar activities; advantages and disadvantages.
Gender, race and age in education. Digital divide. Xennials, Millennials and Gen Z. generational approach to teaching and learning. Young vs old Millennials. Millennial employees.
that kind of tech — expensive, bleeding-edge tools — makes headlines but doesn’t make it into many classrooms, especially the most needy ones. What does, however, is video.
68 percent of teachers are using video in their classrooms, and 74 percent of middle schoolers are watching videos for learning.
Video is a key aspect of our always-online attention economy that’s impacting votingbehavior, and fueling hate speech and trolling. Put simply: Video is a contested civic space.
We need to move from a conflation of digital citizenship with internet safety and protectionism to a view of digital citizenship that’s pro-active and prioritizes media literacy and savvy.
Active viewing — engaging more thoughtfully and deeply with what you watch — is a tried-and-true teaching strategy for making sure you don’t just watch media but retain information.
“The challenge is to make data discoverable, usable, assessable, intelligible, and interpretable, and do so for extended periods of time…To restate the premise of this book, the value of data lies in their use. Unless stakeholders can agree on what to keep and why, and invest in the invisible work necessary to sustain knowledge infrastructures, big data and little data alike will become no data.”
he premise that data are not natural objects with their own essence, Borgman rather explores the different values assigned to them, as well as their many variations according to place, time, and the context in which they are collected. It is specifically through six “provocations” that she offers a deep engagement with different aspects of the knowledge industry. These include the reproducibility, sharing, and reuse of data; the transmission and publication of knowledge; the stability of scholarly knowledge, despite its increasing proliferation of forms and modes; the very porosity of the borders between different areas of knowledge; the costs, benefits, risks, and responsibilities related to knowledge infrastructure; and finally, investment in the sustainable acquisition and exploitation of data for scientific research.
beyond the six provocations, there is a larger question concerning the legitimacy, continuity, and durability of all scientific research—hence the urgent need for further reflection, initiated eloquently by Borgman, on the fact that “despite the media hyperbole, having the right data is usually better than having more data”
o Data management (Pages xviii-xix)
o Data definition (4-5 and 18-29)
p. 5 big data and little data are only awkwardly analogous to big science and little science. Modern science, or big science inDerek J. de Solla Price (https://en.wikipedia.org/wiki/Big_Science) is characterized by international, collaborative efforts and by the invisible colleges of researchers who know each other and who exchange information on a formal and informal basis. Little science is the three hundred years of independent, smaller-scale work to develop theory and method for understanding research problems. Little science is typified by heterogeneous methods, heterogeneous data and by local control and analysis.
p. 8 The Long Tail
a popular way of characterizing the availability and use of data in research areas or in economic sectors. https://en.wikipedia.org/wiki/Long_tail
o Provocations (13-15)
o Digital data collections (21-26)
o Knowledge infrastructures (32-35)
o Open access to research (39-42)
o Open technologies (45-47)
o Metadata (65-70 and 79-80)
o Common resources in astronomy (71-76)
o Ethics (77-79)
o Research Methods and data practices, and, Sensor-networked science and technology (84-85 and 106-113)
o Knowledge infrastructures (94-100)
o COMPLETE survey (102-106)
o Internet surveys (128-143)
o Internet survey (128-143)
o Twitter (130-133, 138-141, and 157-158(
o Pisa Clark/CLAROS project (179-185)
o Collecting Data, Analyzing Data, and Publishing Findings (181-184)
o Buddhist studies 186-200)
o Data citation (241-268)
o Negotiating authorship credit (253-256)
o Personal names (258-261)
o Citation metrics (266-209)
o Access to data (279-283)
Please have also materials, which might help you organize our thoughts and expedite your Chapter 2 writing….
Do you agree with (did you use) the following observations:
The purpose of the review of the literature is to prove that no one has studied the gap in the knowledge outlined in Chapter 1. The subjects in the Review of Literature should have been introduced in the Background of the Problem in Chapter 1. Chapter 2 is not a textbook of subject matter loosely related to the subject of the study. Every research study that is mentioned should in some way bear upon the gap in the knowledge, and each study that is mentioned should end with the comment that the study did not collect data about the specific gap in the knowledge of the study as outlined in Chapter 1.
The review should be laid out in major sections introduced by organizational generalizations. An organizational generalization can be a subheading so long as the last sentence of the previous section introduces the reader to what the next section will contain. The purpose of this chapter is to cite major conclusions, findings, and methodological issues related to the gap in the knowledge from Chapter 1. It is written for knowledgeable peers from easily retrievable sources of the most recent issue possible.
Empirical literature published within the previous 5 years or less is reviewed to prove no mention of the specific gap in the knowledge that is the subject of the dissertation is in the body of knowledge. Common sense should prevail. Often, to provide a history of the research, it is necessary to cite studies older than 5 years. The object is to acquaint the reader with existing studies relative to the gap in the knowledge and describe who has done the work, when and where the research was completed, and what approaches were used for the methodology, instrumentation, statistical analyses, or all of these subjects.
If very little literature exists, the wise student will write, in effect, a several-paragraph book report by citing the purpose of the study, the methodology, the findings, and the conclusions. If there is an abundance of studies, cite only the most recent studies. Firmly establish the need for the study. Defend the methods and procedures by pointing out other relevant studies that implemented similar methodologies. It should be frequently pointed out to the reader why a particular study did not match the exact purpose of the dissertation.
The Review of Literature ends with a Conclusion that clearly states that, based on the review of the literature, the gap in the knowledge that is the subject of the study has not been studied. Remember that a “summary” is different from a “conclusion.” A Summary, the final main section, introduces the next chapter.
When conducting qualitative data, how many people should be interviewed? Is there a minimum or a max
Here is my take on it:
Simple question, not so simple answer.
It depends.
Generally, the number of respondents depends on the type of qualitative inquiry: case study methodology, phenomenological study, ethnographic study, or ethnomethodology. However, a rule of thumb is for scholars to achieve saturation point–that is the point in which no fresh information is uncovered in response to an issue that is of interest to the researcher.
If your qualitative method is designed to meet rigor and trustworthiness, thick, rich data is important. To achieve these principles you would need at least 12 interviews, ensuring your participants are the holders of knowledge in the area you intend to investigate. In grounded theory you could start with 12 and interview more if your data is not rich enough.
In IPA the norm tends to be 6 interviews.
You may check the sample size in peer reviewed qualitative publications in your field to find out about popular practice. In all depends on the research problem, choice of specific qualitative approach and theoretical framework, so the answer to your question will vary from few to few dozens.
How many interviews are needed in a qualitative research?
There are different views in literature and no one agreed to the exact number. Here I reviewed some mostly cited references. Based Creswell (2014), it is estimated that 16 participants will provide rich and detailed data. There are a couple of researchers agreed on 10–15 in-depth interviews are sufficient (Guest, Bunce & Johnson 2006; Baker & Edwards 2012).
your methodological choices need to reflect your ontological position and understanding of knowledge production, and that’s also where you can argue a strong case for smaller qualitative studies, as you say. This is not only a problem for certain subjects, I think it’s a problem in certain departments or journals across the board of social science research, as it’s a question of academic culture.
here more serious literature and research (in case you need to cite in Chapter 3)
Sample Size and Saturation in PhD Studies Using Qualitative Interviews
Gaskell, George (2000). Individual and Group Interviewing. In Martin W. Bauer & George Gaskell (Eds.), Qualitative Researching With Text, Image and Sound. A Practical Handbook (pp. 38-56). London: SAGE Publications.
Savolainen, Jukka 1994: “The Rationality of Drawing Big Conclusions Based on Small Samples.” Social Forces 72:1217-24. (http://www.jstor.org/pss/2580299).
Small, M.(2009) ‘How many cases do I need ? On science and the logic of case selection in field-based research’ Ethnography 10(1) 5-38
Williams,M. (2000) ‘Interpretivism and generalisation ‘ Sociology 34(2) 209-224
where you have several documents from the Graduate school and myself to start building your understanding and vocabulary regarding your quantitative, qualitative or mixed method research.
It has been agreed that before you go to the Statistical Center (Randy Kolb), it is wise to be prepared and understand the terminology as well as the basics of the research methods.
Please have an additional list of materials available through the SCSU library and the Internet. They can help you further with building a robust foundation to lead your research:
Books on intro to stat modeling available at the library. I understand the major pain borrowing books from the SCSU library can constitute, but you can use the titles and the authors and see if you can borrow them from your local public library
I also sought and shared with you “visual” explanations of the basics terms and concepts. Once you start looking at those, you should be able to further research (e.g. YouTube) and find suitable sources for your learning style.
I (and the future cohorts) will deeply appreciate if you remember to share those “suitable sources for your learning style” either by sharing in this Google Group thread and/or sharing in the comments section of the blog entry: https://blog.stcloudstate.edu/ims/2017/07/10/intro-to-stat-modeling. Your Facebook group page is also a good place to discuss among ourselves best practices to learn and use research methods for your chapter 3.
Watching the video, you may remember the same #BooleanSearch techniques from our BI (bibliography instruction) session of last semester.
Considering the fact of preponderance of information in 2017: your Chapter 2 is NOT ONLY about finding information regrading your topic.
Your Chapter 2 is about proving your extensive research of the existing literature.
The techniques presented in the short video will arm you with methods to dig deeper and look further.
If you would like to do a decent job exploring all corners of the vast area called Internet, please consider other search engines similar to Google Scholar:
Antitrust laws only go so far when addressing companies that don’t produce any physical goods. It is time to negotiate a new set of rules. Otherwise, our future economy will be dominated by just a few companies.
There are still people out there who think that Amazon is nothing more than an online version of a department store. But it’s much more than that: It is a rapidly growing, global internet giant that is changing the way we shop, conquering more and more markets, using Alexa to suck up our personal data straight out of our living rooms and currently seeking access to our front door keys so it can deliver packages even when nobody’s home.
It wasn’t that long ago that EU efforts to limit the power of Google and Amazon on the European market were decried in the U.S. as protectionism, as an attempt by the Europeans to protect their own inferior digital economy. Now, though, politicians and economists in the U.S. have even begun discussing the prospect of breaking up the internet giants. The mood has shifted.
The digital economy, by contrast, is based on algorithms and its most powerful companies don’t produce any physical products. Customers receive their services free of charge, paying only with their data. The more customers a service provider attracts, the more attractive it becomes to new customers, who then deliver even more data – which is why Google and Facebook need not fear new competition.
first of all, the power of a company, and the abuse of that power, must be redefined. We cannot allow a situation in which these extremely large companies can swallow up potential rivals before they can even begin to develop. As such, company acquisitions must be monitored much more strictly than they currently are and, if need be, blocked.
Second, it must be determined who owns the data collected – whether, for example, it should also be made available to competitors or whether consumers should receive more in exchange than simply free internet search results.
Third, those disseminating content cannot be allowed to reject responsibility for that content. Demonstrably false claims and expressions of hate should not be tolerated.
And finally, those who earn lots of money must also pay lots of taxes – and not just back home but in all the countries where they do business.
Ercegovac, Z., & Richardson, J. J. (2004). Academic Dishonesty, Plagiarism Included, in the Digital Age: A Literature Review. College & Research Libraries, 65(4), 301-318.
what constitutes plagiarism, how prevalent plagiarism is in our schools, colleges, and society, what is done to prevent and reduce plagiarism, the attitudes of faculty toward academic dishonesty in general, and individual differences as predictors of academic dishonesty
the interdisciplinary nature of the topic and the ethical challenges of accessing and using information technology, especially in the age of the Internet. Writings have been reported in the literatures of education, psychology, and library and information studies, each looking at academic dishonesty from different perspectives. The literature has been aimed at instructors and scholars in education and developmental psychology, as well as college librarians and school media specialists.
Although the literature appears to be scattered across many fields, standard dictionaries and encyclopedias agree on the meaning of plagiarism.
According to Webster’s, plagiarism is equated with kidnapping and defined as “the unauthorized use of the language and thoughts of another author and the representation of them as one’s own.”(FN10) The Oxford English Dictionary defines plagiarism as the “wrongful appropriation or purloining, and publication as one’s own, of the ideas, or the expression of the ideas (literary, artistic, musical, mechanical, etc.).”(
plagiarism is an elusive concept and has been treated differently in different contexts.
different types of plagiarism: direct plagiarism; truncation (where strings are deleted in the beginning or ending); excision (strings are deleted from the middle of sentences); insertions; inversions; substitutions; change of tense, person, number, or voice; undocumented factual information; inappropriate use of quotation marks; or paraphrasing.
defined plagiarism as a deliberate use of “someone else’s language, ideas, or other original (not common-knowledge) material without acknowledging its source.”(FN30) This definition is extended to printed and digital materials, manuscripts, and other works. Plagiarism is interrelated to intellectual property, copyright, and authorship, and is discussed from the perspective of multiculturalism.(FN31)
Jeffrey Klausman made three distinctions among direct plagiarism, paraphrase plagiarism, and patchwork plagiarism
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Cosgrove, J., Norelli, B., & Putnam, E. (2005). Setting the Record Straight: How Online Database Providers Are Handling Plagiarism and Fabrication Issues. College & Research Libraries, 66(2), 136-148.
None of the database providers used links for corrections. Although it is true that the structure of a particular database (LexisNexis, for instance) may make static links more difficult to create than appending corrections, it is a shame that the most elemental characteristic of online resources–the ability to link–is so underutilized within the databases themselves.
Finding reliable materials using online databases is difficult enough for students, especially undergraduates, without having to navigate easily fixed pitfalls. The articles in this study are those most obviously in need of a correction or a link to a correction–articles identified by the publications themselves as being flawed by error, plagiarism, or fabrication. Academic librarians instruct students to carefully evaluate the literature in their campuses’ database resources. Unfortunately, it is not practical to expect undergraduate students to routinely search at the level necessary to uncover corrections and retractions nor do librarians commonly have the time to teach those skills.
Ms. Joanne Lipman
October 20, 2017
Editor-in-Chief of USA Today
7950 Jones Branch Drive
McLean, VA 22108
Dear Ms. Lipman,
In our roles as the Board of Directors of the Association for Library and Information Science Education (ALISE), we are writing to express our profound disappointment with the USA Today career advice feature on October 13, 2017 entitled “Careers: 8 jobs that won’t exist in 2030,” which declared that “librarian” is the number one career among the eight jobs that inaccurate statement on two fronts: first, that the profession is declining, and second, that this alleged will disappear in 2030. This is a false and decline is a result of libraries as warehouses of printed books.
The author of this article may not realize that a professional librarian position in the U.S. and many other countries requires a Master’s degree. According to a recent article in Library Journal, 86% of recent graduates from American Library Association (ALA) accredited schools have found jobs. Another recent report (released on September 28, 2017) by Pearson, Nesta, and Oxford University predicts growth in the information professions, including librarians, curators, and archivists. They are among the top ten jobs likely to experience increased demand in 2030. The report is summarized by Library Journal in its article entitled “The Job Outlook: In 2030, Librarians Will Be in Demand.” Furthermore, your own job posting section for librarian positions does not show the decline of our profession. A close reading of the job titles should have indicated to the author that librarians do more than simply check out books.
This article demonstrates a lack of understanding of librarians’ work as information professionals. My note: but so do lack understanding a lot of librarians, paraprofessionals and administrators in libraries. They are the one, who leave the impressions reflected in the article of US Today. Information professionals IS the keyword and, as during the hype around year 2000 with Barnes & Nobles, a great number of people working in libraries continue to behave as it is the Middle Ages and care of paper-based materials the one and only responsibility a “librarian” may have. The lack of understanding regarding the wide scope of “information professionals” is profound.
Libraries provide access to print and special collections of media, and subscription-based or free electronic resources. All of these must be curated, cataloged, or organized by professional librarians to make them accessible to their users. My note: beating your own drum is good, but when failing to recognize the existence of folksonomy and its impact, do not get upset when US Today reflects the impact
College and university librarians carry out research consultations and instruct student and faculty in finding, evaluating, and using information. My note: when faculty let them do it. And administration recognizes it. It is a shaky position, which does not exclude the 2030 scenario.
Public librarians connect patrons to community resources, lead programming for children and adults, and engage in community outreach and advocacy. Special librarians work for corporations, federal and state institutions, focusing on gathering competitive intelligence and making sure their organizations have access to the information they need to make sound business or strategic decisions.
The article also inaccurately presents libraries as dedicated solely to books:
More and more people are clearing out those paperbacks and downloading e-books on their Tablets and Kindles instead. The same goes for borrowing — as books fall out of favor, libraries are not as popular as they once were. That means you’ll have a tough time finding a job if you decide to become a librarian. Many schools and universities are already moving their libraries off the shelves and onto the Internet.
In addition to providing access to books, journals, newspapers, and other media, both electronically and in print, libraries provide access to technology, from computers, laptops, and iPads to 3D printers, My note: are we? are we doing this at our library? Are the reference librarians allowing such blasphemous thoughts penetrate this library? And if they do, do they allow other professionals to collaborate with them, or “keep it for themselves?”
multimedia software, and recording studios. My note: whaaat?
Many libraries have expanded their non-print collections and are circulating a wide variety of objects including tools, musical instruments, toys, wifi hotspots, and artwork. Libraries are highly valued as community centers and safe spaces that allow people to connect with information and with each other. Research shows that libraries are one of the most trusted and valued public institutions in the country.
The article further argues that librarians and libraries are not needed because printed books are falling out of favor. However, there is considerable counter-evidence that printed books are still in demand, including the articles cited below.
Cain, S. (2017, March 14). Ebook sales continue to fall as younger generations drive appetite for print. The Guardian. Retrieved from:
Milliot, J. (2017, January 20). The Bad News About E-books: Nielsen reports units fell 16% in 2016 compared to 2015. Publishers Weekly. Retrieved from:
We respectfully request an open response from you or from the author of the article. Sincerely,
con?:with the advent of personal assistants like Siri and Google Now that aim to serve up information before you even know you need it, you don’t even need to type the questions.
pro: Whenever new technology emerges — including newspapers and television — discussions about how it will threaten our brainpower always crops up, Harvard psychology professor Steven Pinker wrote in a 2010 op-ed in The New York Times. Instead of making us stupid, he wrote, the Internet and technology “are the only things that will keep us smart.”
Pro and con: Daphne Bavelier, a professor at the University of Geneva, wrote in 2011 that we may have lost the ability for oral memorization valued by the Greeks when writing was invented, but we gained additional skills of reading and text analysis.
con: Daphne Bavelier, a professor at the University of Geneva, wrote in 2011 that we may have lost the ability for oral memorization valued by the Greeks when writing was invented, but we gained additional skills of reading and text analysis.
con: A 2008 study commissioned by the British Library found that young people go through information online very quickly without evaluating it for accuracy.
pro or con?: A 2011 study in the journal Science showed that when people know they have future access to information, they tend to have a better memory of how and where to find the information — instead of recalling the information itself.
pro: The bright side lies in a 2009 study conducted by Gary Small, the director of University of California Los Angeles’ Longevity Center, that explored brain activity when older adults used search engines. He found that among older people who have experience using the Internet, their brains are two times more active than those who don’t when conducting Internet searches.
the Internet holds great potential for education — but curriculum must change accordingly. Since content is so readily available, teachers should not merely dole out information and instead focus on cultivating critical thinking
make questions “Google-proof.”
“Design it so that Google is crucial to creating a response rather than finding one,” he writes in his company’s blog. “If students can Google answers — stumble on (what) you want them to remember in a few clicks — there’s a problem with the instructional design.”
All wifi networks’ are vulnerable to hacking, security expert discovers
WPA2 protocol used by vast majority of wifi connections has been broken by Belgian researchers, highlighting potential for internet traffic to be exposed
The United States Computer Emergency Readiness Team (Cert) issued a warning on Sunday in response to the vulnerability.
“The impact of exploiting these vulnerabilities includes decryption, packet replay, TCP connection hijacking, HTTP content injection and others,” the alert says, detailing a number of potential attacks. It adds that, since the vulnerability is in the protocol itself, rather than any specific device or software, “most or all correct implementations of the standard will be affected”.
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.
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.
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 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