Posts Tagged ‘defintion’

Spring Convocation 2020: Microcredentialing

Digital Badging and Microcredentialing

short link to this blog entry: http://bit.ly/convocation2020

for backchanneling, pls join us on Zoom: https://minnstate.zoom.us/my/badge or 9107443388
if you want to review the Zoom recording, pls click here:
https://minnstate.zoom.us/rec/share/4vF1N-719m9Oc4XE0VrHApU-OKLLaaa8gyEbqfFcz07WTblhxr6U38pBGqPneM2F

Presenters: Kannan Sivaprakasam & Plamen Mittenoff

https://mnscu-my.sharepoint.com/:p:/r/personal/yg5734wd_minnstate_edu/Documents/conferences%20grants/grants/microcredentials%20grant%20Kannan/Digital%20Badges%20and%20Microcredentialing%20edit%20pm.pptx?d=w88cb0067fc90407fa89fafc9e6496882&csf=1&e=BJXpP6

1. Share your ideas and practice of badge distribution and/or microcredentialing
2. What is a digital badge/microcredentialing?
3. How to create and award D2L digital badges for your class?
4. How to motivate the students in earning digital badges?
5. How it aligns with COSE’s strategic plan 2022/Husky Compact?

What we hope to achieve
• Create a community of digital badgers
• Catalyze professional development opportunity for faculty/staff

Literature and additional information:

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metaliterate learning

Metaliterate Learning for the Post-Truth World to be Published this Fall!

definition:

Metaliteracy is a pedagogical model for ensuring that learners successfully participate in collaborative information environments, including social media and online communities.

Metaliteracy supports reflective learning through metacognitive thinking, the ethical production of new knowledge, the critical consumption of information, and the responsible sharing of verifiable content across media platforms. Through metaliteracy, learners are envisioned as teachers in collaborative social spaces. This book examines the newest version of the Metaliteracy Goals and Learning Objectives, including the four domains of metaliterate learning.

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

Immersive Storytelling and Learning

An Imaginary Interview with Lev Vygotsky on Immersive Storytelling and Learning

Ulla, Founder and CEO of ThingLink

https://medium.com/@ulla/an-imaginary-interview-with-lev-vygotsky-on-immersive-storytelling-and-learning-5bbb211c6e50

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.

digital humanities

7 Things You Should Know About Digital Humanities

Published:   Briefs, Case Studies, Papers, Reports  

https://library.educause.edu/resources/2017/11/7-things-you-should-know-about-digital-humanities

Lippincott, J., Spiro, L., Rugg, A., Sipher, J., & Well, C. (2017). Seven Things You Should Know About Digital Humanities (ELI 7 Things You Should Know). Retrieved from https://library.educause.edu/~/media/files/library/2017/11/eli7150.pdf

definition

The term “digital humanities” can refer to research and instruction that is about information technology or that uses IT. By applying technologies in new ways, the tools and methodologies of digital humanities open new avenues of inquiry and scholarly production. Digital humanities applies computational capabilities to humanistic questions, offering new pathways for scholars to conduct research and to create and publish scholarship. Digital humanities provides promising new channels for learners and will continue to influence the ways in which we think about and evolve technology toward better and more humanistic ends.

As defined by Johanna Drucker and colleagues at UCLA, the digital humanities is “work at the intersection of digital technology and humanities disciplines.” An EDUCAUSE/CNI working group framed the digital humanities as “the application and/or development of digital tools and resources to enable researchers to address questions and perform new types of analyses in the humanities disciplines,” and the NEH Office of Digital Humanities says digital humanities “explore how to harness new technology for thumanities research as well as those that study digital culture from a humanistic perspective.” Beyond blending the digital with the humanities, there is an intentionality about combining the two that defines it.

digital humanities can include

  • creating digital texts or data sets;
  • cleaning, organizing, and tagging those data sets;
  • applying computer-based methodologies to analyze them;
  • and making claims and creating visualizations that explain new findings from those analyses.

Scholars might reflect on

  • how the digital form of the data is organized,
  • how analysis is conducted/reproduced, and
  • how claims visualized in digital form may embody assumptions or biases.

Digital humanities can enrich pedagogy as well, such as when a student uses visualized data to study voter patterns or conducts data-driven analyses of works of literature.

Digital humanities usually involves work by teams in collaborative spaces or centers. Team members might include

  • researchers and faculty from multiple disciplines,
  • graduate students,
  • librarians,
  • instructional technologists,
  • data scientists and preservation experts,
  • technologists with expertise in critical computing and computing methods, and undergraduates

projects:

downsides

  • some disciplinary associations, including the Modern Language Association and the American Historical Association, have developed guidelines for evaluating digital proj- ects, many institutions have yet to define how work in digital humanities fits into considerations for tenure and promotion
  • Because large projects are often developed with external funding that is not readily replaced by institutional funds when the grant ends sustainability is a concern. Doing digital humanities well requires access to expertise in methodologies and tools such as GIS, mod- eling, programming, and data visualization that can be expensive for a single institution to obtain
  • Resistance to learning new tech- nologies can be another roadblock, as can the propensity of many humanists to resist working in teams. While some institutions have recognized the need for institutional infrastructure (computation and storage, equipment, software, and expertise), many have not yet incorporated such support into ongoing budgets.

Opportunities for undergraduate involvement in research, provid ing students with workplace skills such as data management, visualization, coding, and modeling. Digital humanities provides new insights into policy-making in areas such as social media, demo- graphics, and new means of engaging with popular culture and understanding past cultures. Evolution in this area will continue to build connections between the humanities and other disci- plines, cross-pollinating research and education in areas like med- icine and environmental studies. Insights about digital humanities itself will drive innovation in pedagogy and expand our conceptualization of classrooms and labs

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

game-based learning

The underlying assumption of an education system that relies so heavily on test-based assessment is that content is what matters.
For those who prioritize learning that can be measured using only quantitative assessments, game-based learning probably just looks like a way to increase student engagement and content retention. It might seem like a complex workbook, or an entertaining quiz. Perhaps game-based learning looks like a great tool for practice and drilling, like a super sophisticated flash-card system that makes memorization more fun. But this kind of thinking doesn’t take into account the broader understanding of what matters. Game-based learning is a great classroom tool because it allows for interdisciplinary learning through contextualized critical thinking and problem solving.
Games in the classroom can encourage students to understand subject matter in context — as part of a system. In contrast to memorization, drilling, and quizzing, which is often criticized because it focuses on facts in isolation, games force players to interact with problems in ways that take relationships into account. The content becomes useful insofar as it plays a part in a larger multi-modal system.

Definition
Game-based learning is an instructional method that allows students to experience, understand, and solve problems in the world of a particular subject, or system, from the inside.

One promise of game-based learning is that it has the potential of building comprehension and literacy rather than retention. It does this by combining instruction, practice, and assessment. Teachers become the facilitators of a process where instruction is experiential. Practice is project based, requiring students to solve new problems and address new challenges using the new ideas to which they’ve been introduced. And assessment no longer measures a student’s ability to regurgitate information, or to choose among multiple answers, but rather, to use the content, or subject matter, in context. Even more impressive is that in order to successfully manipulate one piece within a comprehensive and complex system, the students must understand every piece of the system.
http://blogs.kqed.org/mindshift/tag/games/