Oct
2018
AI and VR for teaching learning
more on AI in this IMS blog
https://blog.stcloudstate.edu/ims?s=artificial+intelligence
more on VR in this IMS blog
Digital Literacy for St. Cloud State University
https://www.educause.edu/eli/initiatives/key-issues-in-teaching-and-learning
A roster of results since 2011 is here.
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.
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.
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:
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,
Heard on Marketplace this morning (Oct. 22, 2018): ethics of artificial intelligence with John Havens of the Institute of Electrical and Electronics Engineers, which has developed a new ethics certification process for AI: https://standards.ieee.org/content/dam/ieee-standards/standards/web/documents/other/ec_bios.pdf
***** The student club, the Philosophical Society, has now been recognized by SCSU as a student organization ***
https://ed.ted.com/lessons/the-ethical-dilemma-of-self-driving-cars-patrick-lin
Could it be the case that a random decision is still better then predetermined one designed to minimize harm?
similar ethical considerations are raised also:
in this sitcom
https://www.theatlantic.com/sponsored/hpe-2018/the-ethics-of-ai/1865/ (full movie)
This TED talk:
https://blog.stcloudstate.edu/ims/2017/09/19/social-media-algorithms/
https://blog.stcloudstate.edu/ims/2018/10/02/social-media-monopoly/
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IoT (Internet of Things), Industry 4.0, Big Data, BlockChain,
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IoT (Internet of Things), Industry 4.0, Big Data, BlockChain, Privacy, Security, Surveilance
https://blog.stcloudstate.edu/ims?s=internet+of+things
peer-reviewed literature;
Keyword search: ethic* + Internet of Things = 31
Baldini, G., Botterman, M., Neisse, R., & Tallacchini, M. (2018). Ethical Design in the Internet of Things. Science & Engineering Ethics, 24(3), 905–925. https://doi-org.libproxy.stcloudstate.edu/10.1007/s11948-016-9754-5
Berman, F., & Cerf, V. G. (2017). Social and Ethical Behavior in the Internet of Things. Communications of the ACM, 60(2), 6–7. https://doi-org.libproxy.stcloudstate.edu/10.1145/3036698
Murdock, G. (2018). Media Materialties: For A Moral Economy of Machines. Journal of Communication, 68(2), 359–368. https://doi-org.libproxy.stcloudstate.edu/10.1093/joc/jqx023
Carrier, J. G. (2018). Moral economy: What’s in a name. Anthropological Theory, 18(1), 18–35. https://doi-org.libproxy.stcloudstate.edu/10.1177/1463499617735259
Kernaghan, K. (2014). Digital dilemmas: Values, ethics and information technology. Canadian Public Administration, 57(2), 295–317. https://doi-org.libproxy.stcloudstate.edu/10.1111/capa.12069
Koucheryavy, Y., Kirichek, R., Glushakov, R., & Pirmagomedov, R. (2017). Quo vadis, humanity? Ethics on the last mile toward cybernetic organism. Russian Journal of Communication, 9(3), 287–293. https://doi-org.libproxy.stcloudstate.edu/10.1080/19409419.2017.1376561
Keyword search: ethic+ + autonomous vehicles = 46
Cerf, V. G. (2017). A Brittle and Fragile Future. Communications of the ACM, 60(7), 7. https://doi-org.libproxy.stcloudstate.edu/10.1145/3102112
Fleetwood, J. (2017). Public Health, Ethics, and Autonomous Vehicles. American Journal of Public Health, 107(4), 632–537. https://doi-org.libproxy.stcloudstate.edu/10.2105/AJPH.2016.303628
HARRIS, J. (2018). Who Owns My Autonomous Vehicle? Ethics and Responsibility in Artificial and Human Intelligence. Cambridge Quarterly of Healthcare Ethics, 27(4), 599–609. https://doi-org.libproxy.stcloudstate.edu/10.1017/S0963180118000038
Keeling, G. (2018). Legal Necessity, Pareto Efficiency & Justified Killing in Autonomous Vehicle Collisions. Ethical Theory & Moral Practice, 21(2), 413–427. https://doi-org.libproxy.stcloudstate.edu/10.1007/s10677-018-9887-5
Hevelke, A., & Nida-Rümelin, J. (2015). Responsibility for Crashes of Autonomous Vehicles: An Ethical Analysis. Science & Engineering Ethics, 21(3), 619–630. https://doi-org.libproxy.stcloudstate.edu/10.1007/s11948-014-9565-5
Getha-Taylor, H. (2017). The Problem with Automated Ethics. Public Integrity, 19(4), 299–300. https://doi-org.libproxy.stcloudstate.edu/10.1080/10999922.2016.1250575
Keyword search: ethic* + artificial intelligence = 349
Etzioni, A., & Etzioni, O. (2017). Incorporating Ethics into Artificial Intelligence. Journal of Ethics, 21(4), 403–418. https://doi-org.libproxy.stcloudstate.edu/10.1007/s10892-017-9252-2
Köse, U. (2018). Are We Safe Enough in the Future of Artificial Intelligence? A Discussion on Machine Ethics and Artificial Intelligence Safety. BRAIN: Broad Research in Artificial Intelligence & Neuroscience, 9(2), 184–197. Retrieved from http://login.libproxy.stcloudstate.edu/login?qurl=http%3a%2f%2fsearch.ebscohost.com%2flogin.aspx%3fdirect%3dtrue%26db%3daph%26AN%3d129943455%26site%3dehost-live%26scope%3dsite
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http://www.cts.umn.edu/events/conference/2018
Keynote presentations will explore the future of driving and the evolution and potential of automated vehicle technologies.
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https://blog.stcloudstate.edu/ims/2016/02/26/philosophy-and-technology/
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more on AI in this IMS blog
https://blog.stcloudstate.edu/ims/2018/09/07/limbic-thought-artificial-intelligence/
AI and autonomous cars as ALA discussion topic
https://blog.stcloudstate.edu/ims/2018/01/11/ai-autonomous-cars-libraries/
and privacy concerns
https://blog.stcloudstate.edu/ims/2018/09/14/ai-for-education/
the call of the German scientists on ethics and AI
https://blog.stcloudstate.edu/ims/2018/09/01/ethics-and-ai/
AI in the race for world dominance
https://blog.stcloudstate.edu/ims/2018/04/21/ai-china-education/
Artificial intelligence could have a profound impact on learning, but it also raises key questions.
By Dennis Pierce, Alice Hathaway 08/29/18
https://thejournal.com/articles/2018/08/29/the-promise-of-ai-for-education.aspx
Artificial intelligence (AI) and machine learning are no longer fantastical prospects seen only in science fiction. Products like Amazon Echo and Siri have brought AI into many homes,
Kelly Calhoun Williams, an education analyst for the technology research firm Gartner Inc., cautions there is a clear gap between the promise of AI and the reality of AI.
Artificial intelligence is a broad term used to describe any technology that emulates human intelligence, such as by understanding complex information, drawing its own conclusions and engaging in natural dialog with people.
Machine learning is a subset of AI in which the software can learn or adapt like a human can. Essentially, it analyzes huge amounts of data and looks for patterns in order to classify information or make predictions. The addition of a feedback loop allows the software to “learn” as it goes by modifying its approach based on whether the conclusions it draws are right or wrong.
AI can process far more information than a human can, and it can perform tasks much faster and with more accuracy. Some curriculum software developers have begun harnessing these capabilities to create programs that can adapt to each student’s unique circumstances.
For instance, a Seattle-based nonprofit company called Enlearn has developed an adaptive learning platform that uses machine learning technology to create highly individualized learning paths that can accelerate learning for every student. (My note: about learning and technology, Alfie Kohn in https://blog.stcloudstate.edu/ims/2018/09/11/educational-technology/)
GoGuardian, a Los Angeles company, uses machine learning technology to improve the accuracy of its cloud-based Internet filtering and monitoring software for Chromebooks. (My note: that smells Big Brother).Instead of blocking students’ access to questionable material based on a website’s address or domain name, GoGuardian’s software uses AI to analyze the actual content of a page in real time to determine whether it’s appropriate for students. (my note: privacy)
serious privacy concerns. It requires an increased focus not only on data quality and accuracy, but also on the responsible stewardship of this information. “School leaders need to get ready for AI from a policy standpoint,” Calhoun Williams said. For instance: What steps will administrators take to secure student data and ensure the privacy of this information?
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more on AI in education in this IMS blog
https://blog.stcloudstate.edu/ims?s=artifical+intelligence
https://www.elektormagazine.de/news/google-ai-voice-kit-big-brother-im-karton
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more on Artificial Intelligence in this IMS blog
https://blog.stcloudstate.edu/ims?s=artifical+intelligence
8/7/2108 Prof. Dr. theol. habil. Arne Manzeschke
https://www.pcwelt.de/a/ethik-und-ki-die-zeit-draengt-wir-muessen-handeln,3451885
Versucht man sich einen Überblick über die verschiedenen ethischen Probleme zu verschaffen, die mit dem Aufkommen von ›intelligenten‹ und in jeder Hinsicht (Präzision, Geschwindigkeit, Kraft, Kombinatorik und Vernetzung) immer mächtigeren Robotern verbunden sind, so ist es hilfreich, diese Probleme danach zu unterscheiden, ob sie
1. das Vorfeld der Ethik,
2. das bisherige Selbstverständnis menschlicher Subjekte (Anthropologie) oder
3. normative Fragen im Sinne von: »Was sollen wir tun?« betreffen.
Die folgenden Überlegungen geben einen kurzen Aufriss, mit welchen Fragen wir uns jeweils beschäftigen sollten, wie die verschiedenen Fragenkreise zusammenhängen, und woran wir uns in unseren Antworten orientieren können.
Aufgabe der Ethik ist es, solche moralischen Meinungen auf ihre Begründung und Geltung hin zu befragen und so zu einem geschärften ethischen Urteil zu kommen, das idealiter vor der Allgemeinheit moralischer Subjekte verantwortet werden kann und in seiner Umsetzung ein »gelungenes Leben mit und für die Anderen, in gerechten Institutionen« [8] ermöglicht. Das ist eine erste vage Richtungsangabe.
Normative Fragen lassen sich am Ende nur ganz konkret anhand einer bestimmten Situation bearbeiten. Entsprechend liefert die Ethik hier keine pauschalen Urteile wie: »Roboter sind gut/schlecht«, »Künstliche Intelligenz dient dem guten Leben/ist dem guten Leben abträglich«.
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more on Artificial Intelligence in this IMS blog
https://blog.stcloudstate.edu/ims?s=artifical+intelligence
breakdown of IoT functionality, from Deloitte. They give 5 general types of services that IoT “things” can do:
Examples of IoT in action
There are some pretty well-known IoT products that some of you already use, including:
How does IoT affect libraries?
Here are some ways libraries are already incorporating IoT technology into their libraries:
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more on IoT in this IMS blog
https://blog.stcloudstate.edu/ims?s=internet+of+things
proposal for Arduino library counter: https://blog.stcloudstate.edu/ims/2017/11/18/service-based-learning-library-counter/
https://docs.google.com/document/d/1dVtIha1-P1t6t7GEFjzGYd8aegU_OVzRQM-BHzxYwNg/edit
Excerpts from the program
Sun.
August 5 |
12NOON SLT | CVL Librarians | Networking Forum at Community Virtual Library | How can librarians help educators in virtual worlds?
Held at CVL main library SLurl: http://maps.secondlife.com/secondlife/Cookie/206/219/21 Embedded librarianship holds potential for immersive learning. Come learn how to promote your virtual world communities and the great work of educators in virtual worlds through networking. https://communityvirtuallibrary.wordpress.com/ |
Fri. August 10 | 12pm SLT | Dieter Heyne (Edward Tarber) | Web Based Virtual Worlds in Education | Organizing collaboration for 400 students in a web based virtual learning environment. Setting up a “synthetic” college.
In the VWMOOC HQ: http://maps.secondlife.com/secondlife/Madhupak/113/66/62 |
Sat. August 11 | Noon SLT / | Lyr Lobo, Cynthia Calongne
Kae Novak (SL: Kavon Zenovka, WoW: Maskirovka) Chris Luchs (SL: Abacus Capellini, WoW: Cheerwine) |
What Can We Learn from the World of Warcraft? | Join us as we host a blended reality session featuring a live stream from the World of Warcraft (WoW) as we explore educational opportunities in a massive multiplayer online roleplaying game (MMORPG). We will have a YouTube live stream, a Discord channel for voice discussion, and an immersive event in WoW. Educators from the International Society for Technology in Education – Games and Simulations Network (ISTE G&SN) will host an immersive event & discuss learning in a multiuser virtual environment (MUVE).
To join us in WoW: visit this site: https://worldofwarcraft.com/en-us/news/3128270 Click Try for Free and download the Blizzard Launcher, which manages the download. You’ll need 52GB for the game. Create an account, select Sisters of Elune realm and create a troll if you are new to WoW and using a Free Trial account. Location: In the World of Warcraft and for those who do not have the game, over a YouTube Live stream (available that day) and hosted after the event over https://www.youtube.com/user/gamesmooc/videos |
Friday
August 17 |
9 am slt | Lynne Berrett (Wisdomseeker) | Howard Gardner’s “Theory of Multiple Intelligences” explored through an Interactive, Immersive Experience in Second Life | Dr. Gardner has proposed 8 different types of intelligence, ranging from Interpersonal to Kinesthetic. Join us to discover your own most innate type. You may be surprised, like many of the teachers who have tried this challenge as part of our whole-brain training program.
http://maps.secondlife.com/secondlife/Inspiration%20Island/48/54/22 |
Fri. August 17 | Noon SLT | Mark Childs (Gann McGann) | Theatrical performances in virtual worlds | This is a summary of various performance-based activities in Second Life and how performance studies can provide an insight into the experience of virtual worlds.
Presented in the VWMOOC HQ: http://maps.secondlife.com/secondlife/Madhupak/113/66/62 |
Ulla, Founder and CEO of ThingLink
digital storytelling at the Festival Della Didattica Digitale (Digital Teaching Festival) in Italy.
the trending but undefined concepts of digital storytelling and immersive learning
definition
Storytelling is a logical form of thought. It is an analytical process including perception, labeling, organizing, categorizing real and imaginary objects and their real and imaginary relations in speech.
Q: What do you think immersive documentation technologies such as 360 images and videos can bring to this process?
V: 360 degree media and virtual reality are cultural-historically developed tools that mediate our relationship to the world in a new way. They expand the possible fields of perception transcending space and time. Perception precedes other psychological functions.
Definition
Immersive storytelling can be understood as an activity through which students use language to visualize relations and meaning in 360 degree digital environments. Naming or describing relations between objects in our field of perception using verbal or visual language awakens intellectual processes fundamental to learning.
Q: Would you say immersive storytelling is a form of creative play?
V: That is a possible interpretation. Play is a psychological process through which we create an imaginary situation or place, reflecting or separating objects and their actual meaning, or creating new meanings. The ability to digitally create and modify situations and environments can be understood as a form of play, opening a realm of spontaneity and freedom, connected with pleasure.
Q: Can robots help us learn? Is AI already the More Knowledgeable Other?
V: The More Knowledgeable Other (MKO) refers to anyone or anything who has a better understanding or a higher ability level than the learner, with respect to a particular task, process, or concept. If a robot with artificial intelligence can function as an MKO and support our problem solving, it can expand our Zone of Proximal Development.
https://www.linkedin.com/pulse/micromanagement-make-best-people-quit-brigette-hyacinth/
1.Decreased Productivity – When a manager is constantly looking over their employees’ shoulders, it can lead to a lot of second-guessing and paranoia, and ultimately leads to dependent employees. Additionally, such managers spends a lot of time giving input and tweaking employee workflows, which can drastically slow down employee response time.
2. Reduced Innovation – When employees feel like their ideas are invalid or live in constant fear of criticism, it’s eventually going to take a toll on creativity. In cultures where risk-taking is punished, employees will not dare to take the initiative. Why think outside the box when your manager is only going to shoot down your ideas and tell you to do it their way?
3. Lower Morale – Employees want the feeling of autonomy. If employees cannot make decisions at all without their managers input, they will feel suffocated. Employees that are constantly made to feel they can’t do anything right may try harder for a while, but will eventually stop trying at all. The effects of this will be evident in falling employee engagement levels.
4. High Staff Turnover – Most people don’t take well to being micromanaged. When talented employees are micromanaged, they often do one thing; quit. No one likes to come to work every day and feel they are walking into a penitentiary with their every movement being monitored. “Please Micromanage Me” Said No Employee ever. I have never seen a happy staff under micromanagement.
5. Loss of Trust – Micromanagement will eventually lead to a massive breakdown of trust. It demotivates and demoralizes employees. Your staff will no longer see you as a manager, but a oppressor whose only job is to make their working experience miserable.
Micromanaging is the opposite of empowerment and it creates toxic work environments. It chokes the growth of the employee and the organization and fosters mediocrity.
If you want performance at scale: Select the right people, provide them with the proper training, tools and support, and then give them room to get the job done!
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more on micromanagement in this IMS blog
https://blog.stcloudstate.edu/ims?s=micromanagement