International Journal of Mobile and Blended Learning (IJMBL)
Editor-in-Chief: David Parsons (The Mind Lab by Unitec, New Zealand)
Published Quarterly. Est. 2009.
ISSN: 1941-8647|EISSN: 1941-8655|DOI: 10.4018/IJMBL
The International Journal of Mobile and Blended Learning (IJMBL) provides a forum for researchers in this field to share their knowledge and experience of combining e-learning and m-learning with other educational resources. Providing researchers, practitioners, and academicians with insight into a wide range of topics such as knowledge sharing, mobile games for learning, collaborative learning, and e-learning, this journal contains useful articles for those seeking to learn, analyze, improve, and apply technologies in mobile and blended learning. The journal spans theoretical, technical, and pedagogical issues in mobile and blended learning. These embrace comprehensive or critical reviews of the current literature, relevant technologies and applications, and important contextual issues such as privacy, security, adaptivity, and resource constraints.
- Comprehensive or critical reviews of the current literature
- Evaluation of mobile or blended learning in practice
- Future of mobile or blended learning
- Knowledge Sharing
- Learner interaction/collaborative learning
- Mobile games for learning
- Mobile or blended learning applications
- Mobile or blended learning applied at different levels of education from pre-school to tertiary and beyond
- Pedagogical and/or philosophical underpinnings of mobile or blended learning
- Privacy and security issues
- Related research in learning, including e-learning and pedagogical approaches
- Resource constraints in the delivery of mobile or blended learning
- Reviews of the application of mobile or blended learning in multiple contexts
- Role of Wikis, blogs, podcasts, messaging, other online tools, and Web 2.0 components in learning delivery
- Roles of mobile, pervasive, and immersive technologies in education
- Technologies that directly or indirectly support mobile or blended learning systems (devices, networks, tools etc.)
- Theoretical approaches to mobile or blended learning solutions
- Use of mobile or blended learning in professional environments
The primary mission of the International Journal of Mobile and Blended Learning (IJMBL) is to provide comprehensive coverage and understanding of the role of innovative learning theory and practice in an increasingly mobile and pervasive technological environment. As technology enables a more seamless experience of device supported learning worlds that may integrate mobile, embedded, augmented, and immersive technologies, we may expect to see increasing interest and activity in blended approaches to learning. IJMBL brings together researchers at the forefront of this field, in both technology and pedagogical practice and assists them in the development and dissemination of new approaches to both mobile and blended learning.
More on mobile and blended learning in this IMS blog:
Do you use lecture capture in your courses? If you do, please join us in one-hour information session.
Lecture/course capture may have different formats and dimensions, from a simple recording of the lecture, to elaborate interactive use of hardware and software.
We created a dedicated blog for the methods and technology of lecture capture:
Please use the hyperlink and feel welcome to share with us your thoughts before, during and after the session, scheduled for
Thursday, October 6, 2016, 3:00PM in MC 205.
We welcome your materials, suggestions and questions!
MC 205 is the Professional Development Room on the second floor of the Miller Center (http://www.stcloudstate.edu/campusmap/default.aspx).
To find MC 205, please use this virtual tour. Open in Google Chrome browser the following link: http://web.stcloudstate.edu/pmiltenoff/vr_library/virtual_guide.mov. File will download and you can open it in QuickTime application.
If you need assistance to find us, please let us know.
For any other information, please do not hesitate to contact us:
Kannan Sivaprakasam, email@example.com
Plamen Miltenoff: firstname.lastname@example.org
Looking forward to working together…
more on lecture capture in this blog:
Feds Say Virtual Schools Need to Follow Special Ed Rules
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 email@example.com.
The letter is available on the Education Department website here.
Chronicle releases report on how students, families look at value of higher ed
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
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:
- We’ve seen that these courses have very little student engagement, especially for online students for whom this is the main medium of instruction. It’s challenging for the instructors to keep the online student in mind as they teach their lec-capture class. This is not surprising, since they’re essentially being asked to teach 2 different audiences simultaneously – in class and online. However, given that this is not going to change in the near future for us, we’ve begun exploring ways to train faculty to do a better job given the constraints. Below are some ideas:
- We are in the process of creating a sort of “checklist” to address things that can be done before, during, and after the class and ways of streamlining the process.
- Make faculty familiar with the technology – do tours of rooms, tutorials, short workshops, etc.
- Syllabus, Schedule and instructional materials are prepared before the semester begins.
- Learning objectives, outcomes, and assessments are aligned and made transparent to the students.
- Design pedagogy that is inclusive – for e.g., move discussions online, create groups that include in-class and online students, use language that directly addresses online students, etc.
- DURING & at the END
- Review a sampling of videos at the beginning, middle, and end by ourselves and then with the faculty and provide them feedback on the good, the bad, and the ugly – very discreetly. 🙂 It’s going to be a sort of a joint reflection on the class. We believe if we do this a few times with the faculty, they’ll get the message and will make greater effort to include the online student in their instruction. And doing it 3 times will also make visible the changes and progress they make (or not)
- We also plan to survey the students at the beginning, middle, and at the end of the semester and share the results with the 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] <firstname.lastname@example.org> 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
- Echo 365 and Panopto are the most frequently used lecture capture systems, but Adobe Connect also has several users.
- The computer screen and the instructor feed are most commonly captured (89% and 79%, respectively). However, some also capture the document camera, the whiteboard, and the graphics pen tablet (53%, 39%, and 32%, respectively).
- Almost every one (97%) report that they support their recordings with additional course materials in an LMS, while many also use web conferencing to deliver lectures and hold office hours. A sizeable portion of respondents also use online textbooks and publisher sites in their course delivery. Only 18% use lecture capture as the primary means of course delivery.
- The majority of respondents use full class recordings of an hour or more, while around half also use short segments of 20 minutes or less.
- The majority of the respondents seem to indicate a campus wide use of lecture capture for different purposes:
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.
- Size of the support units ranged from 1 person to 150+ people spread across campus.
- Similarly, there was a wide range for the number of courses that used lecture capture – as few as 1-2 to a 1000 and more, if one takes into account non-traditional uses.
- Although the numbers show that a majority (77%) provide full IT support for their lecture capture systems, a closer look at the comments indicates there is a general tendency toward making faculty more self reliant by providing them support when requested, or providing them with fully equipped and automated rooms, personal capture solutions and/or training.
- Majority seemed satisfied with the lecture capture setup, so did the students. However, it seemed that the knowledge about student satisfaction was more anecdotal than formal. Other observations include:
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.
- The top 5 challenges concerning faculty support can be summarized as follows:
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
- Efforts to address these challenges were related to:
– 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:
Inside Netflix’s Plan to Boost Streaming Quality and Unclog the Internet (Exclusive)
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
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.
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: