How Nightingale College Moved 70 Students to CBE in Just 2 Weeks
WEBINAR | December 8, 2015 | 1:00pm ET
Chances are, you’ve heard of competency-based education (CBE). Your institution may be just starting to explore CBE, or you might already be developing some courses or programs and would like to learn more. That’s why we’ve invited Nightingale College to talk about how they got started with CBE and how they were able to roll it out to 70 students in just two weeks.
Nightingale College wanted to start offering competency-based courses but quickly ran into problems because their LMS couldn’t support it.
Join us on December 8 for a live webinar with Nightingale College to find out:
• Why CBE is an ideal model for their “nontraditional” students • How they support self-paced learning and use tools to track student progress • What the initial program results are, including feedback from students and faculty • Why they chose Brightspace as their technology platform for CBE course delivery
the power of VR goes beyond simply recruiting. The University of Michigan uses the technology as a learning tool, and by instituting a virtual reality “cave” they’ve allowed engineering students to interact with virtual structures as they “come together, buckle and collapse.” Instead of relying on physical models—which tend to be large, expensive, and slow to build—a student using the MIDEN VR cave can fly around a virtual structure to study mechanical connections.
Based on the documents attached above, and the discussion and work already surrounding these documents, please consider the following flowchart:
study >>> systems theory >>> cybermetrics >>>
SWOT >>> strategic planning >>> task force >>> architect >>>
CM >>> public adviser >>> public polling >>> referendum
During the exercises surrounding the documents above, you have been introduced to various speakers / practitioners, who presented real-life cases regarding:
– the first goal of this technology instruction is to figure out the current state of technology in K12 settings.
assignment:
* split in groups * using each group member’s information and experience about technology in general and technology in school settings, use the flow chart above and identify any known technology, which can improve the process of each step in the flow chart.
* reconvene and compare results among groups. Find similarities and discrepancies and agree on a pool of applicable technology tools and concepts, which can improve the process reflected in the flow chart.
Example how to meet the requirements for the first goal: 1. based on your technological proficiency, how can you aid your study using system thinking/systems approach? the work ahead of you is collaborative. What collaborative tools do you know, which can help the team work across time and space? Skype, Google Hangouts for audio/video/desktopsharing. Google Drive/Docs for working on policies and similar text-based documents.
Work on the following assignment:
Trends in technology cannot be taken separately from other issues and are closely intertwined with other “big” trends :
keeping in mind this interdependence / balance, please work in groups on the following questions. Using the available links above and the literature they lead to, as well as your own findings, please provide your best opinion to these questions:
when planning for a new building and determining learning spaces, what is the percentage of importance, which we place on technology, in relation to furniture, for example?
how much do teachers have a say in the planning of the building, considering that they had worked and prefer “their type” of learning space?
who decides what technology and how? how one rationalizes the equation technology = learning spaces = available finances?
how much outsourcing (consulting) on any of the components of the equation above one can afford / consider? How much weight the strategic planning puts on the consulting (outsourcing) versus the internal opinion (staff and administrators)?
how “far in the future” your strategic plan is willing / able to look at, in terms of technology – learning spaces?
How to stay current with the technology developments:
This session will present results from an evaluation of the integration of RealizeIT adaptive learning technology into three fully online courses: General Psychology, Pathophysiology for Nursing Practice, and College Algebra. Presenters will discuss the impact on students, faculty, and the university.
Adaptive learning systems provide each student with a personalized learning experience, adapting the presentation of the content, and possibly the assessment to the individual ability of the student
==============================================
Co-developed by Learning Technologies and the Faculty Colloquium on Excellence in Teaching and Learning at Indiana University, a digital badge pilot (badges.iu.edu) was launched to support faculty professional development and growth. This session will cover the competency levels, topics of study, and the badging platform to document levels of achievement. Outcomes: Understand the basics of a three-tiered framework for digital badges * Review the online badging platform * Explore topics for faculty development
Mozilla Open Badges 101: Digging into Badges (a webinar)
personalized learning or competency-based does not resolve it. GPA does not respond to employers search
regimenting credentials. digital representation of of skill or achievement. represent achievements on the web. social status (foursquare). granular, evidence-based and transferable. badge ecosystem (across multiple areas), this is why open badges; open system. Open Badge Standard: issuer information; earner information; criteria URL; evidence URL; Standards Alignment; Taxonomy Tags
=============================
Data Visualization: The What, the Who, and the How
Data visualization tools are becoming much stronger and are now targeted at a much wider audience. This panel will explore what we should be trying to do with data visualization, who will be doing it, and how we might support and steer it. OUTCOMES: Identify multiple opportunities for use of data visualization * Learn about multiple user communities, including those not centrally managed * Explore ways to support users and steer them toward good practiceshttp://www.educause.edu/sites/default/files/library/presentations/E15/SESS029/Data%2BViz%2BEducause%2B151028%2BFINAL1.pptxslides 7: What works well for technically savvy developers may not work for faculty or staff without those same credentials.
Data Wrapper
Raw
Infogram
Tableau
Oracle suite of OBIEE (Oracle Business Intelligence Enterprise Edition) has been very successful for CSU
Cognos (IBM) is another tool that is very popular for developers and has been used by USG central office
D3 (For Data Driven Documents)
Fusion Charts
Chart js
Google Charts
slide 11: Two primary design goals supported through Data Visualization:
Discovery and Exploration
–What story is the data telling you
–Identify patterns and exceptions
Decision-making
–Compare, contrast, choose
–Explain, make a point, decide
slide 15:
qTo communicate
qPresent more clearly or more forcefully than would be accomplished with text or tables
qReports, dashboards, infographics, etc.
qTo discover
qAllow us to see what would be difficult or impossible to see if not presented in a useful visualization
qRealm of research but moving into the mainstream
qCan same visualization serve both purposes?
======================
iPad, You Pad, We All Pad: Transforming Teaching and Learning
California State University Northridge, Lynn University, and Jackson State University have all deployed one-to-one iPad tablet initiatives, with the objectives to increase student engagement and learning, improve the quality of teaching materials, and decrease student costs. This session will discuss the transformational educational opportunities afforded by the iPad and highlight technology and pedagogical lessons learned. Outcomes: Learn about the transformational impact of one-to-one iPad initiatives in the classroom * Understand the need for extensive faculty development and faculty adoption strategies * Appreciate deployment and support challenges====================
The Avalon Video and Audio Repository for Libraries and Beyond
The Avalon Media System provides an open-source streaming media solution, based on Hydra/Fedora repository technologies, focused on delivery of library media collections, but it is finding other uses, including support for publication, teaching and learning content, and digital scholarship. As a result, new features enhance support for additional research and instructional use cases. Outcomes: Understand the problems Avalon solves * Understand the extended use cases addressed with Avalon, both present and intended future * Learn how best to engage with the Avalon project.========================
The Karuta Open Source Portfolio, currently under incubation by the Apereo Foundation, offers dramatic flexibility for designing portfolio workflows with rubrics to assess learning outcomes. Karuta is LTI enabled for integration with the LMS for easy access and transfer of evidence of learning. Subsequent releases will add functionality for showcasing as well as reporting. Outcome: Learn how Karuta can flexibly support your programs and institution through leveraging its functionality
=======================
Supporting the Discovery and Adoption of Open E-Textbooks
The California Open Education Resources Council comprises faculty from the three CA higher education systems working together to identify open textbooks for high impact courses. The selected open textbooks are in the process of being peer reviewed and curated in the CA Open Online Library. Outcomes: Identify quality open textbooks for general education, high-impact courses * Learn how to interpret textbook peer reviews with a faculty-created rubric * Understand how to reference these resources for the discovery of quality no- or low-cost materialshttp://www.educause.edu/sites/default/files/library/presentations/E15/PS58/COOL%2BEducause%2BPoster%2B2015.pdf
====================
Seminar 12P – Six Secrets for Evaluating Online Teaching (separate registration is required)
What makes online teaching different from face-to-face teaching? How can we tell when it’s done well? Faculty members, administrators, and IT leaders will learn six evaluation “secrets” from the authors of the new book Evaluating Online Teaching. You will leave this seminar with use-them-now strategies, tools, and templates to take back to your campus. OUTCOMES: Distinguish online content and practices that “count” as teaching behaviors * Design self-, peer-, and administrative-evaluation analytic tools * Develop a 6-stage, campus-wide program for evaluating online teachinghttp://www.educause.edu/annual-conference/2015/seminar-12p-six-secrets-evaluating-online-teaching-separate-registration-required
Learn how the University of Pittsburgh is creating a scalable classroom model for active learning on a traditional campus. Administrators, faculty, and instructional technologists and designers recently collaborated to reimagine legacy large-enrollment lecture halls. The focus of this session is on the learning space design process across the disciplines. Outcomes: Identify and apply the principles of active learning associated with learning space deign * Understand the design process * Assemble an effective learning space design teamhttp://www.educause.edu/annual-conference/2015/reimagining-learning-space-design-across-disciplines
==============================
Thinking Digitally: Advancing Digital Literacy with Personalized Learning Tools
The session will outline a scalable framework for integrating digital literacy in higher education curriculum, supported by tools that allow for active and personalized learning. Research and examples from Georgia State University’s experience implementing a pilot program will be used as a catalyst for interactive discussion and idea generation. Outcomes: Understand the value of incorporating digital literacy into curriculum * Select from emerging personalized learning technologies to support digital literacy across diverse academic scenarios * Adapt a methodology for developing partnerships to advance digital literacy across the organizationhttp://www.educause.edu/annual-conference/2015/thinking-digitally-advancing-digital-literacy-personalized-learning-tools===============
A discussion of unmanned aerial vehicles (drones) and drone activities that either take place on campus or impact a campus from the outside. The state of federal aviation regulations and guidelines for drones will be covered. Attendees can share their experiences with official and rogue drone activities at their institutions. Outcomes: Learn about the drone devices in use, from miniature to massive * Understand the impact of drones on academic institutions, for better or worse * Learn what drone activities are legally allowable, banned, or discouragedhttp://www.educause.edu/annual-conference/2015/whats-droning-overhead
Resources – Higher Ed Drone Policies
The Ohio State University
Iowa State University
Indiana University
University of Kansas
Penn State University
University of New Mexico
The Association of College and University Policy
Administrators (ACUPA, acupa.org)
Join this lively discussion and discovery of innovative and functional uses and support for mobile computing. We will explore creative ideas for projects using mobile devices in teaching, learning, and administration. Topics may include hardware, applications, tools, special uses, wireless and mobile connectivity, web services, support issues, and security.
Sessoms, D. (2008). DIGITAL STORYTELLING: Training Pre-service Teachers to Use Digital Storytelling Across the Curriculum. In K. McFerrin, R. Weber, R. Carlsen & D. Willis (Eds.), Proceedings of Society for Information Technology & Teacher Education International Conference 2008 (pp. 958-960). Chesapeake, VA: Association for the Advancement of Computing in Education (AACE). http://www.editlib.org/p/27300/
Yuksel, P., Robin, B. & McNeil, S. (2011). Educational Uses of Digital Storytelling all around the World. In M. Koehler & P. Mishra (Eds.), Proceedings of Society for Information Technology & Teacher Education International Conference 2011 (pp. 1264-1271). Chesapeake, VA: Association for the Advancement of Computing in Education (AACE). http://www.editlib.org/p/36461/
Ohler, J. (2008). Digital storytelling in the classroom : new media pathways to literacy, learning, and creativity /. Corwin Press.
Rudnicki, A., Cozart, A., Ganesh, A., Markello, C., Marsh, S., McNeil, S., Mullins, H., Odle Smith, D. & Robin, B. (2006). The Buzz Continues…The Diffusion of Digital Storytelling across disciplines and colleges at the University of Houston. In C. Crawford, R. Carlsen, K. McFerrin, J. Price, R. Weber & D. Willis (Eds.), Proceedings of Society for Information Technology & Teacher Education International Conference 2006 (pp. 717-723). Chesapeake, VA: Association for the Advancement of Computing in Education (AACE). http://www.editlib.org/p/22130/
Churchill, N., Ping, L. C., Oakley, G., & Churchill, D. (2008). DIGITAL STORYTELLING AND DIGITAL LITERACY LEARNING. In Rea dings in Education and Technology: Proceedings of ICICTE 200. http://www.icicte.org/ICICTE2008Proceedings/churchill043.pdf
Digital Storytelling and Philosophy | Sociology | Anthropology | History classes:
IVala, E., Chigona, A., Gachago, D., & Condy, J. (2012). Digital Storytelling and Student Engagement: A Case of Pre-Service Student Teachers and their Lecturers’ at a University of Technology – ProQuest. Presented at the International Conference on e-Learning. Retrieved from http://search.proquest.com/openview/498ddf3873e0433dd9ef1b0a67c1d9a9/1?pq-origsite=gscholar
Digital Storytelling and Communication Studies | Mass Communication:
Tharp, K., & Hills, L. (2004). Digital Storytelling: Culture, Media and Community. In: Marshall, S., Taylor, W., & Yu, X. H. (Eds). Using Community Informatics to Transform Regions. Idea Group Inc (IGI).
Boa-Ventura, A., & Rodrigues, I. (2010). “Making news with digital stories: digital storytelling as a forma of citizen journalism – case Studies analysis in the U.S., UK and Portugal. Revista PRISMA.COM, 0(7). Retrieved from http://revistas.ua.pt/index.php/prismacom/article/view/674
From MyFunCity to government-structured approach to “digital citizenship,” this is recent trend, which is seriously considered by educators as a must in the curricula. While habitually connected with technology classes, it is a much larger issue, which requires faculty attention across disciplines; it encompass digital and technology literacy, netiquette and online behavior (cyberbulling most frequently addressed), as well qualities and skills to be a functional and mindful citizen of a global world.
here is some general literature on digital citizenship:
Volume 9, Issue 1, Fall 2005. Education and Citizenship in the Digital Age
Isman, A., & Canan Gungoren, O. (2014). Digital Citizenship. Turkish Online Journal Of Educational Technology – TOJET, 13(1), 73-77. http://eric.ed.gov/?id=EJ1018088
Simsek, E., & Simsek, A. (2013). New Literacies for Digital Citizenship. Online Submission, Contemporary Educational Technology, 4(3), 126-137. http://eric.ed.gov/?id=ED542213
Lenhart, A., Madden, M., Smith, A., Purcell, K., Zickuhr, K., Rainie, L., & Pew Internet & American Life, P. (2011). Teens, Kindness and Cruelty on Social Network Sites: How American Teens Navigate the New World of “Digital Citizenship”. Pew Internet & American Life Project, http://eric.ed.gov/?id=ED537516
Ives, E. A. (2012, October 1). iGeneration: The Social Cognitive Effects of Digital Technology on Teenagers. Online Submission, http://eric.ed.gov/?id=ED543278
real-time impact on curriculum structure, instruction delivery and student learning, permitting change and improvement. It can also provide insight into important trends that affect present and future resource needs.
Big Data: Traditionally described as high-volume, high-velocity and high-variety information.
Learning or Data Analytics: The measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs.
Educational Data Mining: The techniques, tools and research designed for automatically extracting meaning from large repositories of data generated by or related to people’s learning activities in educational settings.
Predictive Analytics: Algorithms that help analysts predict behavior or events based on data.
Predictive Modeling: The process of creating, testing and validating a model to best predict the probability of an outcome.
Data analytics, or the measurement, collection, analysis and reporting of data, is driving decisionmaking in many institutions. However, because of the unique nature of each district’s or college’s data needs, many are building their own solutions.
For example, in 2014 the nonprofit company inBloom, Inc., backed by $100 million from the Gates Foundation and the Carnegie Foundation for the Advancement of Teaching, closed its doors amid controversy regarding its plan to store, clean and aggregate a range of student information for states and districts and then make the data available to district-approved third parties to develop tools and dashboards so the data could be used by classroom educators.22
Tips for Student Data Privacy
Know the Laws and Regulations
There are many regulations on the books intended to protect student privacy and safety: the Family Educational Rights and Privacy Act (FERPA), the Protection of Pupil Rights Amendment (PPRA), the Children’s Internet Protection Act (CIPA), the Children’s Online Privacy Protection Act (COPPA) and the Health Insurance Portability and Accountability Act (HIPAA)
— as well as state, district and community laws. Because technology changes so rapidly, it is unlikely laws and regulations will keep pace with new data protection needs. Establish a committee to ascertain your institution’s level of understanding of and compliance with these laws, along with additional safeguard measures.
Make a Checklist Your institution’s privacy policies should cover security, user safety, communications, social media, access, identification rules, and intrusion detection and prevention.
Include Experts
To nail down compliance and stave off liability issues, consider tapping those who protect privacy for a living, such as your school attorney, IT professionals and security assessment vendors. Let them review your campus or district technologies as well as devices brought to campus by students, staff and instructors. Finally, a review of your privacy and security policies, terms of use and contract language is a good idea.
Communicate, Communicate, Communicate
Students, staff, faculty and parents all need to know their rights and responsibilities regarding data privacy. Convey your technology plans, policies and requirements and then assess and re-communicate those throughout each year.
“Anything-as-a-Service” or “X-as-a-Service” solutions can help K-12 and higher education institutions cope with big data by offering storage, analytics capabilities and more. These include:
• Infrastructure-as-a-Service (IaaS): Providers offer cloud-based storage, similar to a campus storage area network (SAN)
• Platform-as-a-Service (PaaS): Opens up application platforms — as opposed to the applications themselves — so others can build their own applications
using underlying operating systems, data models and databases; pre-built application components and interfaces
• Software-as-a-Service (SaaS): The hosting of applications in the cloud
• Big-Data-as-a-Service (BDaaS): Mix all the above together, upscale the amount of data involved by an enormous amount and you’ve got BDaaS
Suggestions:
Use accurate data correctly
Define goals and develop metrics
Eliminate silos, integrate data
Remember, intelligence is the goal
Maintain a robust, supportive enterprise infrastructure.
Prioritize student privacy
Develop bullet-proof data governance guidelines
Create a culture of collaboration and sharing, not compliance.
There is a phenomenon taking place in higher education today. It is nothing short of a revolution regarding the advances in technology and how institutions of higher learning along with nontraditional organizations are utilizing powerful new tools to change the delivery of higher education . These new tools include new mobile devices, enhanced and feature-rich learning management systems, data-feeding sensors, 3D printers, smart classrooms, smart buildings, and collaboration tools allowing students and faculty to collaborate just about anywhere face-to-face, virtually.
