Lecture Capture Overview
more on lecture capture in this IMS blog
more on lecture capture in this IMS blog
By Dian Schaffhauser 08/25/16
“Dear Colleague” letter issued to virtual schools by the U.S. Department of Education. The agency isn’t creating or imposing “new legal requirements,” is intended to help state education agencies and districts meet their existing obligations under the Individuals with Disabilities Education Act.
feedback at firstname.lastname@example.org.
The letter is available on the Education Department website here.
PSE institutions are starting to notice changes in the ways that students and their families evaluate the value of higher ed, and the Chronicle of Higher Education has released a new in-depth report looking at what factors influence these judgments. The report, titled Education Under Review: Examining the value of education for student success—in career and life, investigates the importance students and their families place on critical thinking skills, career readiness training, and student debt, among other factors. Among the report’s key findings is that only 13% of student respondents said they believed the higher education system as a whole provided excellent value. Report
You can download the chart here or find the Google Docs version here.
Riddle – https://www.youtube.com/watch?v=IawWhrykKp0
TinyTap – https://www.youtube.com/watch?v=-S-rGBdv-bE, https://www.youtube.com/playlist?list=PL4kNQUtOflk-qvjAThJW9SiiwMlkkRfm_
Zaption – https://www.youtube.com/watch?v=LghSQjBE1cs
EduCanon – https://www.youtube.com/watch?v=7IVFK7V2nzI
EDpuzzle – https://www.youtube.com/watch?v=FGjP7QrNo7U, https://www.youtube.com/watch?v=SOcKBo-4hpg
Blubbr – https://youtu.be/FSxkQdB_RuE
Google Forms – https://www.youtube.com/watch?v=xUL9j30NYkc, https://www.youtube.com/watch?v=hFZx-zOK46Q,
From the Blended and Online Learning discussion list:
We’re working on a grant program at my unit to improve these lec-capture courses. One of the ways is to train faculty:
Chunking of videos includes preplanning and post production tasks. Faculty can be trained to script their lectures more, create lecture based on “topics” to make chunking and tagging easier. Need to focus on end user experience (online student).
These are some of the ideas. We plan to start implementing them this summer. I’ll share with you our progress. 🙂
Rema Nilakanta, Ph.D.
Director of Design & Delivery|
Engineering-LAS Online Learning
1328 Howe Hall
On Wed, Jan 27, 2016 at 8:48 AM, Nilakanta, Rema [ELO] <email@example.com> wrote:
Thank you all for filling out the survey on the use of lecture capture in higher education. I appreciate your time and interest in this subject.
Attached are the results. I’ve also provided an overview below. The main purpose of this survey was to get an overall idea of how lecture capture is used in HE. I was just curious to see if the way we use it is pretty much similar at other institutions. The finding was inconclusive. My next step is to dig a little deeper – perhaps repurpose this survey for faculty and students. The final goal is to improve these courses – make them as pedagogically sound as possible, given that this technology is here to stay at our campus, at least for the near future. It will certainly require designing faculty training, but I would also like to explore innovative and efficient ways of chunking lecture videos pre and post production.
Let me know if you have any questions or need further information.
OVERVIEW OF “USE OF LECTURE CAPTURE IN HE” SURVEY RESULTS & FINDINGS
By Rema Nilakanta
I’ve listed some of the findings that impressed me. They do not follow the order of the questions in the survey. For details, please view the attached report.
Just a quick note – There were 39 respondents, but not all responded to every question. The respondents included instructional and IT support staff and administrators at all levels generally from 4-year public and private universities.
FINDINGS & THEMES
o review of in-class lectures
o training and advising
o student presentations (students use the technology to create their presentations/demos/assignments)
o live streaming of seminars and on-site hosting of conferences for remote students and audiences.
o For people satisfied with the setup, there were quite a few users of Echo 360 and Panopto.
o Panopto seemed to rise above the rest for its promptness and quality of service. Mediasite got mixed response.
o There seems to be an awareness of the need to get the lectures captioned.
o Along with automated lecture capture technology, there seems to be a rise in old ways of doing things – manual (human) recording of events continues and seems preferable, especially in the face of rising costs of lecture capture technology.
o Training faculty to use the technology – turn on the mic, no recording of white board, do not change settings, take time to learn the technology.
o Funding and support
o Ensuring best practices
o IP concerns
– Keep mic on all the time
– Use of media asset management systems, like Kaltura (MediaSite)
– Admins trained to check settings for rooms
– Disable download of recordings as default setting (addressed IP concerns)
– Create user groups around technologies
– Promote communication among instructors using a particular room
– Training of faculty by instructional design teams on the use of technology and best practices
here is more on lecture capture in this IMS blog:
a new bandwidth-saving technology that the company has been working on for four years
At the lowest end was a file encoded with a bitrate of 235 kbps, which would work even on very slow connections, but also only deliver a resolution of 320 by 240 pixels. Somewhere in the middle was a 1750 kbps file for a resolution of 1280 by 720, and the best quality was a 5800 kbps version for a great-looking 1080p experience.
Center for Digital Education (CDE)
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
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.
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
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.
more on big data in this IMS blog:
Student’s relationship with technology is complex. They recognize its value but still need guidance when it comes to better using it for academics.
|Educause’s ECAR Study, 2013|
|IMS faculty would be happy to meet with you or your group at your convenience.
Please request using this Google Form: http://scsu.mn/1OjBMf9 or
by email: firstname.lastname@example.org | email@example.com
How you can reach us:
Services we provide:
Sinprakob, S., & Songkram, N. (2015). A Proposed Model of Problem-based Learning on Social Media in Cooperation with Searching Technique to Enhance Critical Thinking of Undergraduate Students. Procedia – Social And Behavioral Sciences, 174(International Conference on New Horizons in Education, INTE 2014, 25-27 June 2014, Paris, France), 2027-2030. doi:10.1016/j.sbspro.2015.01.871
Bailey, A. (2014). Teaching Alice Walker’s The Color Purple: Using Technology and Social Media To Foster Critical Thinking and Reflection. Virginia English Journal, 64(1), 17.
Eales-Reynolds, L., Gillham, D., Grech, C., Clarke, C., & Cornell, J. (2012). A study of the development of critical thinking skills using an innovative web 2.0 tool. Nurse Education Today, 32(7), 752-756. doi:10.1016/j.nedt.2012.05.017
Baldino, S. (2014). The Classroom Blog: Enhancing Critical Thinking, Substantive Discussion, and Appropriate Online Interaction. Voices From The Middle, 22(2), 29.
Ravenscroft, A., Warburton, S., Hatzipanagos, S., & Conole, G. (2012). Designing and evaluating social media for learning: shaping social networking into social learning?. Journal Of Computer Assisted Learning, 28(3), 177-182. doi:10.1111/j.1365-2729.2012.00484.x
Education is clearly a social process but it is probably much closer to an ongoing discussion or debate than an extended celebration with an ever-expanding network of friends (p. 179, Ravenscroft et al.)
1. Self-directed learning
2. Learning through play
3. Scenario-based learning
4. Game-based learning (http://blog.stcloudstate.edu/ims/?s=gaming)
5. Project-based learning (http://blog.stcloudstate.edu/ims/?s=project+based)
6. Peer-to-Peer instruction
7. School-to-school instruction (using Skype in the classroom, for example)
8. Learning through projects
9. Problem-based learning
10. Challenge-based learning
11. Inquiry-based learning
12. Mobile learning
13. Gamified learning (gamification)
14. Cross-curricular projects (teaching by topic: http://blog.stcloudstate.edu/ims/2015/03/24/education-reform-finland/)
15. Reciprocal Teaching
16. “Flipped-class” learning
17. Face-to-Face Driver blended learning
18. Rotation blended learning
19. Flex Blended Learning
20. “Online Lab” blended learning
21. Sync Teaching
23. HyFlex Learning
24. Self-guided MOOC
25. Traditional MOOC
26. Competency-Based Learning
27. Question-based learning
29. Four Corners
30. Accountable Talk
31. RAFT Assignments
34. Gallery Walk
35. Text Reduction
36. Concentric Circles
37. Traditional Concept-Mapping (teacher-given strategy–“fishbone” cause-effect analysis, for example)
38. Didactic, Personalized Concept Mapping (student designed and personalized for their knowledge-level and thinking patterns)
39. Mock Trial
40. Non-academic video + “academic” questioning
41. Paideia Seminar (http://www.paideia.org/, http://www.learnnc.org/lp/editions/paideia/, http://www.mtlsd.org/jefferson_middle/stuff/paideia%20seminar%20guidelines.pdf)
43. Socratic Seminar (https://www.nwabr.org/sites/default/files/SocSem.pdf)
44. QFT Strategy
45. Concept Attainment
46. Directed Reading Thinking Activity
47. Paragraph Shrinking
48. FRAME Routine
49. Jigsaw Strategy
50. Content-Based Team-Building Activities
51. Learning Simulation
53. Bloom’s Spiral
54. Virtual Field Trip (http://web.stcloudstate.edu/pmiltenoff/scw/)
55. Physical Field Trip
56. Digital Scavenger Hunt (http://web.stcloudstate.edu/pmiltenoff/bi/)
57. Physical Scavenger Hunt
Previous 1 2 3 4 5 … 10 Next