Digital Literacy for St. Cloud State University
Bill RosenthalCEO at Communispond & Logical Operations
https://www.linkedin.com/pulse/7-qualities-define-great-leader-bill-rosenthal/
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more on leaders in this IMS blog
Wonder what emotional intelligence looks like in everyday life? Here are 13 examples.
https://www.inc.com/justin-bariso/13-things-emotionally-intelligent-people-do.html
In 1995, psychologist and science journalist Daniel Goleman published a book introducing most of the world to the nascent concept of emotional intelligence. The idea–that an ability to understand and manage emotions greatly increases our chances of success–quickly took off, and it went on to greatly influence the way people think about emotions and human behavior.
But what does emotional intelligence look like, as manifested in everyday life?
pausing helps you refrain from making a permanent decision based on a temporary emotion.
By striving to control your thoughts, you resist becoming a slave to your emotions, allowing yourself to live in a way that’s in harmony with your goals and values.
When you receive negative feedback, you keep your emotions in check and ask yourself: How can this make me better?
You know not everyone will appreciate your sharing your thoughts and feelings. But the ones who matter will.
The ability to show empathy, which includes understanding others’ thoughts and feelings, helps you connect with others. Instead of judging or labeling others, you work hard to see things through their eyes.
Empathy doesn’t necessarily mean agreeing with another person’s point of view. Rather, it’s about striving to understand–which allows you to build deeper, more connected relationships.
by sharing specifically what you appreciate, you inspire them to be the best version of themselves.
Negative feedback has great potential to hurt the feelings of others. Realizing this, you reframe criticism as constructive feedback, so the recipient sees it as helpful instead of harmful.
Emotional intelligence helps you realize that apologizing doesn’t always mean you’re wrong. It does mean valuing your relationship more than your ego.
When you forgive and forget, you prevent others from holding your emotions hostage–allowing you to move forward.
Actions like these build trust and inspire others to follow your lead when it counts.
You realize that emotional intelligence also has a dark side–such as when individuals attempt to manipulate others’ emotions to promote a personal agenda or for some other selfish cause.
And that’s why you continue to sharpen your own emotional intelligence–to protect yourself when they do.
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more on emotional intelligence in this IMS blog
https://blog.stcloudstate.edu/ims?s=emotional+intelligence
Millennials are not all narcissists and boomers are not inherently selfish. The research on generations is flawed.
DAVID COSTANZA
APRIL 13, 2018 9:00 AM
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SIVA VAIDHYANATHAN, 2008. https://www.chronicle.com/article/Generational-Myth/32491 Generational Myth
My note: Siva raised this issue from a sociologist point of view as soon as in 2008. Before him, Prensky’s “digitally natives” ideas was already criticized.
Howe and Strauss; Millennials books contributed to the overgeneralizations. https://en.wikipedia.org/wiki/Strauss%E2%80%93Howe_generational_theory
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We spend a lot of time debating the characteristics of generations—are baby boomers really selfish and entitled, are millennials really narcissists, and the latest, has the next generation (whatever it is going to be called) already been ruined by cellphones? Many academics—and many consultants—argue that generations are distinct and that organizations, educators, and even parents need to accommodate them. These classifications are often met with resistance from those they supposedly represent, as most people dislike being represented by overgeneralizations, and these disputes only fuel the debate around this contentious topic.
In short, the science shows that generations are not a thing.
It is important to be clear what not a thing means. It does not mean that people today are the same as people 80 years ago or that anything else is static. Times change and so do people. However, the idea that distinct generations capture and represent these changes is unsupported.
What is a generation? Those who promote the concept define it as a group of people who are roughly the same age and who were influenced by a set of significant events. These experiences supposedly create commonalities, making those in the group more similar to each other and more different from other groups now and from groups of the same age in the past.
In line with the definition, there is a commonly held perception that people growing up around the same time and in the same place must have some sort of universally shared set of experiences and characteristics. It helps that the idea of generations intuitively makes sense. But the science does not support it. In fact, most of the research findings showing distinct generations are explained by other causes, have serious scientific flaws, or both.
For example, millennials score lower on job satisfaction than Gen Xers, but are millennials really a less satisfied generation? Early in their careers, Xers were also less satisfied than baby boomers.
Numerous books, articles, and pundits have claimed that millennials are much more narcissistic than young people in the past.
on average, millennials are no more narcissistic now than Xers or boomers were when they were in their 20s, and one study has even found they might be less so than generations past. While millennials today may be more narcissistic than Xers or boomers are today, that is because young people are pretty narcissistic regardless of when they are young. This too is an age effect.
Final example. Research shows that millennials joining the Army now show more pride in their service than boomers or Xers did when they joined 20-plus years ago. Is this a generational effect? Nope. Everyone in the military now shows more pride on average than 20 years ago because of 9/11. The terrorist attack increased military pride across the board. This is known as a period effect and it doesn’t have anything to do with generations.
Another problem—identifying true generational effects is methodologically very hard. The only way to do it would be to collect data from multiple longitudinal panels. Individuals in the first panel would be measured at the start of the study and then in subsequent years with new panels added every year thereafter, allowing assessment of whether people were changing because they were getting older (age effects), because of what was happening around them (period effects), or because of their generation (cohort effects). Unfortunately, such data sets pretty much do not exist. Thus, we’re never really able to determine why a change occurred.
According to one national-culture model, people from the United States are, on average, relatively individualistic, indulgent, and uncomfortable with hierarchical order.
My note: RIchard Nisbett sides with Hofstede and Minkov: https://blog.stcloudstate.edu/ims/2016/06/14/cultural-differences/
Conversely, people from China are generally group-oriented, restrained, and comfortable with hierarchy. However, these countries are so large and diverse that they each have millions of individuals who are more similar to the “averages” of the other country than to their own.
Given these design and data issues, it is not surprising that researchers have tried a variety of different statistical techniques to massage (aka torture) the data in an attempt to find generational differences. Studies showing generational differences have used statistical techniques like analysis of variance (ANOVA) and cross-temporal meta-analysis (CTMA), neither of which is capable of actually attributing the differences to generations.
The statistical challenge derives from the problem we have already raised—generations (i.e., cohorts) are defined by age and period. As such, mathematically separating age, period, and cohort effects is very difficult because they are inherently confounded with one another. Their linear dependency creates what is known as an identification problem, and unless one has access to multiple longitudinal panels like I described above, it is impossible to statistically isolate the unique effect of any one factor.
First, relying on flawed generational science leads to poor advice and bad decisions. An analogy: Women live longer than men, on average. Why? They engage in fewer risky behaviors, take better care of themselves, and have two X chromosomes, giving them backups in case of mutations. But if you are a man and you go to the doctor and ask how to live longer, she doesn’t tell you, “Be a woman.” She says eat better, exercise, and don’t do stupid stuff. Knowing the why guides the recommendation.
Now imagine you are a manager trying to retain your supposedly job-hopping, commitment-averse millennial employees and you know that Xers and boomers are less likely to leave their jobs. If you are that manager, you wouldn’t tell your millennial employees to “be a boomer” or “grow older” (nor would you decide to hire boomers or Xers rather than millennials—remember that individuals vary within populations). Instead, you should focus on addressing benefits, work conditions, and other factors that are reasons for leaving.
Second, this focus on generational distinctions wastes resources. Take the millennials-as-commitment-averse-job-hoppers stereotype. Based on this belief, consultants sell businesses on how to recruit and retain this mercurial generation. But are all (or even most) millennials job-hopping commitment avoiders? Survey research shows that millennials and Xers at the same point in their careers are equally likely to stay with their current employer for five or more years (22 percent v. 21.8 percent). It makes no sense for organizations to spend time and money changing HR policies when employees are just as likely to stick around today as they were 15 years ago.
Third, generations perpetuate stereotyping. Ask millennials if they are narcissistic job-hoppers and most of them will rightly be offended. Treat boomers like materialistic achievement seekers and see how it affects their work quality and commitment. We finally are starting to recognize that those within any specific group of people are varied individuals, and we should remember those same principles in this context too. We are (mostly) past it being acceptable to stereotype and discriminate against women, minorities, and the disabled. Why is it OK to do so to millennials or boomers?
The solutions are fairly straightforward, albeit challenging, to implement. To start, we need to focus on the why when talking about whether groups of people differ. The reasons why any generation should be different have only been generally discussed, and the theoretical mechanism that supposedly creates generations has not been fully fleshed out.
Next, we need to quit using these nonsensical generations labels, because they don’t mean anything. The start and end years are somewhat arbitrary anyway. The original conceptualization of social generations started with a biological generational interval of about 20 years, which historians, sociologists and demographers (for one example, see Strauss and Howe, 1991) then retrofitted with various significant historical events that defined the period.
The problem with this is twofold. First, such events do not occur in nice, neat 20-year intervals. Second, not everyone agrees on what the key events were for each generation, so the start and end dates also move around depending on what people think they were. One review found that start and end dates for boomers, Xers, and millennials varied by as many as nine years, and often four to five, depending on the study and the researcher. As with the statistical problem, how can distinct generations be a thing if simply defining when they start and when they end varies so much from study to study?
In the end, the core scientific problem is that the pop press, consultants, and even some academics who are committed to generations don’t focus on the whys. They have a vested interest in selling the whats (Generation Me has reportedly sold more than 115,000 copies, and Google “generations consultants” and see how many firms are dedicated to promulgating these distinctions), but without the science behind them, any prescriptions are worthless or even harmful
David Costanza is an associate professor of organizational sciences at George Washington University and a senior consortium fellow for the U.S. Army Research Institute. He researches, teaches, and consults in the areas of generations, leadership, culture, and organizational performance.
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more on the topic in this IMS blog
https://blog.stcloudstate.edu/ims?s=millennials
Where | Къде: СУ „Димитър Матевски“ https://goo.gl/maps/rojNjE3dk4s and online ( виртуално)
When | Кога: 2. май, 2018, 14 часа | May 2, 2018, 2PM local time (Bulgaria)
Who | Кой: преподаватели и педагози | teachers and faculty
How | Как: използвайте “обратна връзка” за споделяне на вашите идеи | use the following hashtag for backchanneling #BGtechEd
short link: http://bit.ly/teachassess
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Live stream: |
Тема1. Сравняване на Kahoot, Edpuzzle и Apester – 1-1, 1/2 час продължителност
Topic 1: A comparison of Kahoot, Apester and EdPuzzle
definitions | термини : BYOD (BYOx), flipped classroom, formative assessment (vs summative assessment)
| Kahoot (https://kahoot.it/) – 10 мин. | |
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| Apester (https://apester.com/ )– 10-15мин. | |
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| Edpuzzle (https://edpuzzle.com )– 10 – 15мин. | |
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https://edpuzzle.com/assignments/5ad4cad48f4df34107c58bd0/watch |
Тема 2. Виртуална реалност в учебния процес – теория и практика- 1-1, 1/2 час продължителност
Topic 2. Virtual reality in teaching and learning – theory and hands-on
When a student is brilliant on the street corner but falling asleep in class, something is wrong with the schooling system
Ако учащ се е страхотен на ъгъла на улицата, но се проваля или заспива в клас, тогава нещо е грешно с учебната система
https://blog.stcloudstate.edu/ims/2018/04/17/education-teched-frenemies/
VR can be inexpensive and effective | Виртуална / разширена реалност може да бъде ефикасна и ефективна: https://blog.stcloudstate.edu/ims/2018/04/26/teaching-virtual-reality/
https://www.linkedin.com/groups/2811/2811-6391674579739303939
Definitions for VR/AR/MR | дефиниции на: виртуална реалност; разширена реалност; смесена реалност
https://blog.stcloudstate.edu/ims/2018/03/21/t4tl-games-and-vr-library/
#3 from the following blog entry: https://blog.stcloudstate.edu/ims/2018/04/17/practical-about-vr-and-ar-in-schools/ (go beyond storytelling)
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Additional Information | Дпълнителна литература/информация
https://blog.stcloudstate.edu/ims/2016/02/22/formative-assessment-ideas/
Formative Assessment Tools: https://blog.stcloudstate.edu/ims/2016/01/13/formative-assessment-tools/
https://blog.stcloudstate.edu/ims/2014/12/09/formative-assessment/
EdTech Research – Where to Publish, How to Share (Part 1): Journal Overview
Publisher / Organization: Athabasca University Press
Year founded: 2000
Description: The International Review of Research in Open and Distributed Learning disseminates original research, theory, and best practice in open and distributed learning worldwide.
Publisher / Organization: The University of Illinois at Chicago- University Library
Year founded: 1996
Description: First Monday is among the very first open access journals in the EdTech field. The journal’s subject matter encompasses the full range of Internet issues, including educational technologies, social media and web search. Contributors are urged via author guidelines to use simple explanations and less complex sentences and to be mindful that a large proportion of their readers are not part of academia and do not have English as a first language.
Publisher / Organization: Springer (from 2013)
Academic Management: University of Catalonia (UOC)
Year founded: 2004
Description: This journal aims to: provide a vehicle for scholarly presentation and exchange of information between professionals, researchers and practitioners in the technology-enhanced education field; contribute to the advancement of scientific knowledge regarding the use of technology and computers in higher education; and inform readers about the latest developments in the application of information technologies (ITs) in higher education learning, training, research and management.
URL: https://educationaltechnologyjournal.springeropen.com/
Publisher / Organization: Online Learning Consortium
Year founded: 1997
Description: Online Learning promotes the development and dissemination of new knowledge at the intersection of pedagogy, emerging technology, policy, and practice in online environments. The journal has been published for over 20 years as the Journal of Asynchronous Learning Networks (JALN) and recently merged with the Journal of Online Learning and Teaching (JOLT).
URL: https://olj.onlinelearningconsortium.org/
Publisher / Organization: International Forum of Educational Technology & Society
Year founded:1998
Description: Educational Technology & Society seeks academic articles on the issues affecting the developers of educational systems and educators who implement and manage these systems. Articles should discuss the perspectives of both communities – the programmers and the instructors. The journal is currently still accepting submissions for ongoing special issues, but will cease publication in the future as the editors feel that the field of EdTech is saturated with high quality publications.
URL: http://www.ds.unipi.gr/et&s/index.php
Publisher / Organization: Ascilite (Organization) & PKP Publishing Services Network
Year founded: 1985
Description: The Australasian Journal of Educational Technology aims to promote research and scholarship on the integration of technology in tertiary education, promote effective practice, and inform policy. The goal is to advance understanding of educational technology in post-school education settings, including higher and further education, lifelong learning, and training.
URL: https://ajet.org.au/index.php/AJET
Publisher / Organization: Elsevier Ltd.
YEAR FOUNDED: 1998
DESCRIPTION: The Internet and Higher Education is devoted to addressing contemporary issues and future developments related to online learning, teaching, and administration on the Internet in post-secondary settings. Articles should significantly address innovative deployments of Internet technology in instruction and report on research to demonstrate the effects of information technology on instruction in various contexts in higher education.
URL: https://www.journals.elsevier.com/the-internet-and-higher-education
Publisher / Organization: British Educational Research Association (BERA)
YEAR FOUNDED: 1970
DESCRIPTION: The journal publishes theoretical perspectives, methodological developments and empirical research that demonstrate whether and how applications of instructional/educational technology systems, networks, tools and resources lead to improvements in formal and non-formal education at all levels, from early years through to higher, technical and vocational education, professional development and corporate training.
LINK: http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-8535
Publisher / Organization: Elsevier Ltd.
Year founded: 1976
Description: Computers & Education aims to increase knowledge and understanding of ways in which digital technology can enhance education, through the publication of high quality research, which extends theory and practice.
URL: https://www.journals.elsevier.com/computers-and-education/
Publisher / Organization: Springer US
Year founded: 1985
Description: TechTrends targets professionals in the educational communication and technology field. It provides a vehicle that fosters the exchange of important and current information among professional practitioners. Among the topics addressed are the management of media and programs, the application of educational technology principles and techniques to instructional programs, and corporate and military training.
URL: https://link.springer.com/journal/11528
Year founded: 2002
Description: Advances in technology and the growth of e-learning to provide educators and trainers with unique opportunities to enhance learning and teaching in corporate, government, healthcare, and higher education. IJEL serves as a forum to facilitate the international exchange of information on the current research, development, and practice of e-learning in these sectors.
Led by an Editorial Review Board of leaders in the field of e-Learning, the Journal is designed for the following audiences: researchers, developers, and practitioners in corporate, government, healthcare, and higher education. IJEL is a peer-reviewed journal.
URL: http://www.aace.org/pubs/ijel/
Year founded: 1981
Description: JCMST is a highly respected scholarly journal which offers an in-depth forum for the interchange of information in the fields of science, mathematics, and computer science. JCMST is the only periodical devoted specifically to using information technology in the teaching of mathematics and science.
URL: https://www.aace.org/pubs/jcmst/
Just as researchers build reputation over time that can be depicted (in part) through quantitative measures such as h-index and i10-index, journals are also compared based on the number of citations they receive..
Year founded: 1997
Description: The Journal of Interactive Learning Research (JILR) publishes papers related to the underlying theory, design, implementation, effectiveness, and impact on education and training of the following interactive learning environments: authoring systems, cognitive tools for learning computer-assisted language learning computer-based assessment systems, computer-based training computer-mediated communications, computer-supported collaborative learning distributed learning environments, electronic performance support systems interactive learning environments, interactive multimedia systems interactive simulations and games, intelligent agents on the Internet intelligent tutoring systems, microworlds, virtual reality based learning systems.
URL: http://learntechlib.org/j/JILR/
Year founded: 1996
Description: JEMH is designed to provide a multi-disciplinary forum to present and discuss research, development and applications of multimedia and hypermedia in education. It contributes to the advancement of the theory and practice of learning and teaching in environments that integrate images, sound, text, and data.
URL: https://www.aace.org/pubs/jemh/
Publisher / Organization: Society for Information Technology and Teacher Education (SITE)
Year founded: 1997
Description: JTATE serves as a forum for the exchange of knowledge about the use of information technology in teacher education. Journal content covers preservice and inservice teacher education, graduate programs in areas such as curriculum and instruction, educational administration, staff development instructional technology, and educational computing.
URL: https://www.aace.org/pubs/jtate/
Publisher / Organization: Association for the Advancement of Computing in Education (AACE)
YEAR FOUNDED: 2015
DESCRIPTION: The Journal of Online Learning Research (JOLR) is a peer-reviewed, international journal devoted to the theoretical, empirical, and pragmatic understanding of technologies and their impact on primary and secondary pedagogy and policy in primary and secondary (K-12) online and blended environments. JOLR is focused on publishing manuscripts that address online learning, catering particularly to the educators who research, practice, design, and/or administer in primary and secondary schooling in online settings. However, the journal also serves those educators who have chosen to blend online learning tools and strategies in their face-to-face classroom.
URL: https://www.aace.org/pubs/jolr/
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part 2
The most commonly used index to measure the relative importance of journals is the annual Journal Citation Reports (JCR). This report is published by Clarivate Analytics (previously Thomson Reuters).
SCImago Journal Rank (SJR indicator) measures the influence of journals based on the number of citations the articles in the journal receive and the importance or prestige of the journals where such citations come from. The SJR indicator is a free journal metric which uses an algorithm similar to PageRank and provides an open access alternative to the journal impact factor in the Web of Science Journal Citation Report. The portal draws from the information contained in the Scopus database (Elsevier B.V.).
Introduced by Google in 2004, Scholar is a freely accessible search engine that indexes the full text or metadata of scholarly publications across an array of publishing formats and disciplines.
Introduced by Elsevier in 2004, Scopus is an abstract and citation database that covers nearly 18,000 titles from more than 5,000 publishers. It offers journal metrics that go beyond just journals to include most serial titles, including supplements, special issues and conference proceedings. Scopus offers useful information such as the total number of citations, the total number of articles published, and the percent of articles cited.
Anne-Wil Harzing:
“Citations are not just a reflection of the impact that a particular piece of academic work has generated. Citations can be used to tell stories about academics, journals and fields of research, but they can also be used to distort stories”.
Harzing, A.-W. (2013). The publish or perish book: Your guide to effective and responsible citation analysis. http://harzing.com/popbook/index.htm
ResearchGate is a social networking site for scientists and researchers to share papers, ask and answer questions, and find collaborators. The community was founded in May 2008. Today it has over 14 million members.
Google Scholar allows users to search for digital or physical copies of articles, whether online or in libraries. It indexes “full-text journal articles, technical reports, preprints, theses, books, and other documents, including selected Web pages that are deemed to be ‘scholarly. It comprises an estimated 160 million documents.
Academia.edu is a social-networking platform for academics to share research papers. You can upload your own work, and follow the updates of your peers. Founded in 2008, the network currently has 59 million users, and adding 20 million documents.
The ORCHID (Open Researcher and Contributor ID) is a nonproprietary alphanumeric code to uniquely identify scientific and other academic authors and contributors. It provides a persistent identity for humans, similar to content-related entities on digital networks that utilize digital object identifiers (DOIs). The organization offers an open and independent registry intended to be the de facto standard for contributor identification in research and academic publishing.
The Scopus Author Identifier assigns a unique number to groups of documents written by the same author via an algorithm that matches authorship based on a certain criteria. If a document cannot be confidently matched with an author identifier, it is grouped separately. In this case, you may see more than one entry for the same author.
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more on metrics in this iMS blog
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more on academic library in this IMS blog
https://blog.stcloudstate.edu/ims?s=academic+library
Notes from the webinar:
What is Digital Learning
Technology is a metaphor for change, it is also a metaphor for risk
technology is a means of uncertainly reduction that is made possible by the cause-effect relationship upon which the technology is based.
technology innovation creates a kind of uncertainty in the minds of potential adopters as well as represent an opportunity for reduced uncertainty.
The Diffusion of Innovations: https://en.wikipedia.org/wiki/Diffusion_of_innovations
https://web.stanford.edu/class/symbsys205/Diffusion%20of%20Innovations.htm
technology is disruptive
as per https://www.amazon.com/Death-Dying-Doctors-Nurses-Families/dp/1476775540
The key campus tech issues are no longer about IT (in the past e.g.: MS versus Apple). IT is the “easy part” of technology on campus. The challenges: people, planning policy, programs, priorities, silos, egos, and IT entitlements
How do we make Digital Learning compelling and safe for the faculty? provide evidence of impact, support, recognition and reward for faculty; communicate about effectiveness of and need for IT resources.
technology is not capital cost, it is operational cost. reoccurring.
Visualization:
underlying issues; can i do this? why should i do this? evidence of benefit?
the more things change, the more things stay the same. new equilibrium.
change: from what did you do wrong to how do we do better. Use data as a resources, not as a weapon. there is a fear of trying, because there is no recognition or reward
Machiavelli: 1. concentrate your efforts 2. pick your issues carefully, know when to fight 3. know the history 4. build coalitions 5. set modest goals – and realistic 6. leverage the value of data (use it as resource not weapon) 7. anticipate personnel turnover 8. set deadlines for decisions
Colleagues,
We apologize for the short notice, but wanted to make you aware of the following opportunity: provide
From Ken Graetz at Winona State University:
As part of our Digital Faculty Fellows Program at WSU, Dr. Kenneth C. Green will be speaking this Thursday, March 22nd in Stark 103 Miller Auditorium from 11:30 to 12:30 on “Innovation, Infrastructure, and Digital Learning.” We will be streaming Casey’s talk using Skype Meeting Broadcast and you can join as a guest using the following link: Join the presentation. This will allow you to see and hear his presentation, as well as post moderated questions. By way of a teaser, here is a recent quote from Dr. Green’s blog, DigitalTweed, published by Inside Higher Ed:
“If trustees, presidents, provosts, deans, and department chairs really want to address the fear of trying and foster innovation in instruction, then they have to recognize that infrastructure fosters innovation. And infrastructure, in the context of technology and instruction, involves more than just computer hardware, software, digital projectors in classrooms, learning management systems, and campus web sites. The technology is actually the easy part. The real challenges involve a commitment to research about the impact of innovation in instruction, and recognition and reward for those faculty who would like to pursue innovation in their instructional activities.”
Dr. Green is the founding director of The Campus Computing Project, the largest continuing study of the role of digital learning and information technology in American colleges and universities. Campus Computing is widely cited as a definitive source for data, information, and insight about IT planning and policy issues affecting higher education. Dr. Green also serves as the director, moderator, and co-producer of TO A DEGREE, the postsecondary success podcast of the Bill & Melinda Gates Foundation. He is the author or editor of some 20 books and published research reports and more than 100 articles and commentaries that have appeared in academic journals and professional publications. In 2002, Dr. Green received the first EDUCAUSE Award for Leadership in Public Policy and Practice. The EDUCAUSE award cites his work in creating The Campus Computing Project and recognizes his, “prominence in the arena of national and international technology agendas, and the linking of higher education to those agendas.”
Casey’s most recent TO A DEGREE podcasts are available now: Presidential Leadership in Challenging Times and Online’s Bottom Line.
Hope to see some of you online and please forward this invitation to anyone who might be interested.
Ken Graetz, PhD, Director of Teaching, Learning, and Technology Services, Winona State University, 507-429-3270
BY MERIS STANSBURY November 6th, 2017 https://www.ecampusnews.com/campus-administration/educause-top-10-issues-2018/
Security once again tops the list of EDUCAUSE’s Top 10 IT Issues in higher education. A focus on student success and programming becomes prominent.
The Top 10 IT issues for 2018
1. Information security: Developing a risk-based security strategy that keeps pace with security threats and challenges.
2. Student success: Managing the system implementations and integrations that support multiple student success initiatives.
3. Institution-wide IT strategy: Repositioning or reinforcing the role of IT leadership as an integral strategic partner of institutional leadership in achieving institutions missions.
4. Data-enabled institutional culture: Using BI and analytics to inform the broad conversation and answer big questions.
5. Student-centered institution: Understanding and advancing technology’s role in defining the student experience on campus (from applicants to alumni).
6. Higher education affordability: Balancing and rightsizing IT priorities and budget to support IT-enabled institutional efficiencies and innovations in the context if institutional funding realities.
7. IT staffing and organizational models: Ensuring adequate staffing capacity and staff retention in the face of retirements, new sourcing models, growing external competition, rising salaries, and the demands of technology initiatives on both IT and non-IT staff.
8. (tie) Data management and governance: Implementing effective institutional data governance practices.
9. (tie) Digital integrations: Ensuring system interoperability, scalability, and extensibility, as well as data integrity, standards, and governance, across multiple applications and platforms.
10. Change leadership: Helping institutional constituents (including the IT staff) adapt to the increasing pace of technology change.
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more on EdUCause in this IMS blog
https://blog.stcloudstate.edu/ims?s=educause
The EDUCAUSE Learning Initiative has just launched its 2018 Key Issues in Teaching and Learning Survey, so vote today: http://www.tinyurl.com/ki2018.
Each year, the ELI surveys the teaching and learning community in order to discover the key issues and themes in teaching and learning. These top issues provide the thematic foundation or basis for all of our conversations, courses, and publications for the coming year. Longitudinally they also provide the way to track the evolving discourse in the teaching and learning space. More information about this annual survey can be found at https://www.educause.edu/eli/initiatives/key-issues-in-teaching-and-learning.
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learning and teaching in this IMS blog
https://blog.stcloudstate.edu/ims?s=teaching+and+learning
Unlocking the Promise of Digital Assessment
By Stacey Newbern Dammann, EdD, and Josh DeSantis October 30, 2017
The proliferation of mobile devices and the adoption of learning applications in higher education simplifies formative assessment. Professors can, for example, quickly create a multi-modal performance that requires students to write, draw, read, and watch video within the same assessment. Other tools allow for automatic grade responses, question-embedded documents, and video-based discussion.
Integration of technology is aligned to sound formative assessment design. Formative assessment is most valuable when it addresses student understanding, progress toward competencies or standards, and indicates concepts that need further attention for mastery. Additionally, formative assessment provides the instructor with valuable information on gaps in their students’ learning which can imply instructional changes or additional coverage of key concepts. The use of tech tools can make the creation, administration, and grading of formative assessment more efficient and can enhance reliability of assessments when used consistently in the classroom. Selecting one that effectively addresses your assessment needs and enhances your teaching style is critical.
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more on digital assessment in this IMS blog
https://blog.stcloudstate.edu/ims/2017/03/15/fake-news-bib/
