Digital Media & Copyright in Higher Ed: Reduce Risk & Avoid Liability (Higher Ed Hero Webinar)

Register to attend: http://bit.ly/Copyright-Oct32014
Date: October 3, 2014
Time: 1:00 PM – 2:00 PM
Location: GEB A304

Overview:

The use of music, movies, and digitized textbooks on college campuses in and out of the classroom are an everyday occurrence. But are these resources utilized in a manner that do not infringe on copyright laws? When you can and can’t apply fair use for educational purposes is confusing. There are lessons to be learned from recent rulings on fair use that will help faculty and staff navigate copyright laws and avoid litigation and fines.

Join us for this 60-minute webinar where you will discover:

  • Clear instructions for making fair use determinations
  • What are your rights for copying DVD’s, CD’s, video clips & more
  • Online & hybrid courses: Tips for streaming video outside the classroom
  • How the internet changes fair use – exceptions & exclusions
  • Lessons learned from Georgia State, the Hathi Trust decision & others

EDUCAUSE Learning Institute (ELI) 2013 – join us to learn more!

The last session of ELI 2013 was delivered by Robbie Kendall-Melton, the Associate Vice Chancellor for Academic Affairs: eLearning at the Tennessee Board of Regents (TBR). She was a dynamic speaker who kept engaging the audience with all her apps and mobile devices. She had mobile devices no one had heard of!

At the conclusion of her session, she pointed the group to the TBR’s emerging technology website. From there, you can explore the Education & Workforce Mobile Apps Resource Bank, register to receive email notifications of new apps that match your key variables of subject, device, and level, and explore a variety of other resources related to mobilization and emerging technology.

Want to become part of a mobile learning special interest group? Sign up here. Access a variety of mobile-related information and apps.

For UTHSC faculty, we’ll be hosting Friday Focus on e-Learning and reviewing several of the recordings from the ELI 2013 session. For the next 3 Fridays, here’s the schedule (click the title to read more about each session/presenter):

There’s something for everyone in the ELI 2013 archive. From MOOCs to badges to mobile learning and more, plan to join us for a lively discussion on Fridays from 1-2pm!

Below is a great infographic from OnlineDegrees.org (spotted on the TBR’s website) about the mobile lives of college students. Any of this ring true to you?

2013 Profile of the Mobile Lives of College Students

Mobile Lives of Online College Students

Graphic attributed to OnlineDegrees.org.

Evaluating Class Size in Online Education

The American Association of Colleges of Nursing (AACN) sponsored this webinar, facilitated by Dr. Susan Taft of the Kent State University College of Nursing in Kent, OH. Taft co-authored “A Framework for Evaluating Class Size in Online Education” that was published in The Quarterly Review of Distance Education, 12(3), 2011, 181-197.

The bad news … there is NO one size fits all for determining optimal class sizes for online courses. The good news … there ARE guidelines for determining optimal class size.

Optimal class size is defined as healthy revenue generation PLUS desirable student learning outcomes.

Variables (factors) associated with workload in teaching online courses include:

  • faculty experience with distance education
  • the level at which the course is offered – graduate or undergraduate
  • content to be covered and course design
  • size of the class
  • online platform used, and presence or absence of technology support and/or teaching assistants
  • the mode of instruction (e.g. whether strictly web-based or combined with other modes of instruction)

Taft went on to review three educational frameworks that provide guidelines:

  1. The Objectivist-Constructivist Continuum
  2. Bloom’s Taxonomy
  3. The Community of Inquiry Model

Class sizes on the objectivist-constructivist dimension:

  • objectivist – largely one-way communication – can be large class size
  • mix of objectivist-constructivist – medium teaching intensity – medium size 20+
  • constructivist – interactive with higher teaching intensity – < 20 students

Class sizes and Bloom’s Taxonomy dimensions:

  • upper levels of taxonomy – analysis, synthesis, evaluation – small class size < 15
  • middle of taxonomy – application – medium teaching intensity – 16-40 students
  • lower levels of taxonomy – knowledge, comprehension – lower teaching intensity – > 30+ students

The Community of Inquiry Model is the more complex of the three models. Three types of presence are recommended for online courses:

  1. Teaching presence (faculty)
    1. course design & organization
    2. facilitating discourse – this may or may not be used
    3. direct instruction – may be fully or partially used
  2. Cognitive presence (students) – may or may not be fully required
  3. Social presence (faculty & students) – faculty being a “real person” in the online environment; may or may not be present
  • With the Community of Inquiry model, partial teaching presence that is associated with lower teaching intensity can have a class size of 25+.
  • With full teaching presence, cognitive presence, and social presence, there is higher teaching intensity and smaller class sizes of < 20 students.

Using the objectivist-constructivist continuum + Bloom’s Taxonomy leads to a more objective and quicker determination of class size. When Community Of Inquiry model is considered, the complexity of judging appropriate class size increases.

Examples of class size determinations considering combinations of all 3 frameworks:

  • Use of objectivist teaching methods, lower levels of Bloom’s Taxonomy, limited implementation of COI – class size can be large, > 30 students
  • Constructivist methods, higher levels of Bloom, and full use of COI model – class size should be small < 15 students

For courses, determine how much the faculty member needs to be present and in the center to help students learn. Much of this determination (80%) can be discerned from the syllabus (as long as it’s a good syllabus). For the additional 20%, need to review online workload – are faculty facilitating good meaty discussions among the students, are faculty grading online discussions.

A truism – most faculty see their specific course as the highest intensity, requiring the highest workload level. In most cases, it is not true. So the administrator needs to review across all faculty. Develop guidelines for courses offered during this particular semester will have this many students allowed into them. Develop guidelines for different levels in the program. RN-BSN courses should have between 20-40 students in each section so that faculty can grade papers and give effective feedback to students.

Synchronous can add an additional level of teaching intensity – because faculty need command of the tools to make them work and because synchronous sessions tend to generate questions and issues that the faculty need to follow up on. Synchronous teaching should add in to the faculty workload.

Discussion of the Quality Matters Program – it is great for structure of a course, but it doesn’t address process and outcomes. The Sloan Consortium quality scorecard is a better model for online work, according to the presenter.

In addition to the presenter’s article (referred to above) some accessible online resources related to determining optimal class size in online education are:

REMINDER: UTHSC is an institutional member of the Sloan Consortium, which enables faculty and staff to obtain important and relevant materials related to online education. Contact Cindy Russell for details.

For follow-up material or discussions related to this or other topics, contact Cindy Russell at crussell@uthsc.edu or 901-448-6158.

Meta-analysis finds students in online learning conditions perform modestly better than students receiving F2F instruction

At UTHSC we have several programs and courses that are offered either fully online or offered in a hybrid format. Note: Hybrid = a blend of in-class and online activities.

A key question that repeatedly arises is whether the fully online and/or hybrid courses are “as good as” general face-to-face courses. This translates to a question of effectiveness of instruction, with the need to compare various forms of learning.

For those of you with questions, have a look at the report entitled “Evaluation of Evidence-Based Practices in Online Learning: A Meta-Analysis and Review of Online Learning Studies” that was published in Sept. 2010 by the U.S. Department of Education’s Office of Planning, Evaluation, and Policy Development Policy and Program Studies Service.

The bottom line of the report:

The meta-analysis found that, on average, students in online learning conditions performed modestly better than those receiving face-to-face instruction.

Four research questions guided the research:

  1. How does the effectiveness of online learning compare with that of face-to-face instruction?
  2. Does supplementing face-to-face instruction with online instruction enhance learning?
  3. What practices are associated with more effective online learning?
  4. What conditions influence the effectiveness of online learning?

What did they do to get to the bottom line?Researchers systematically searched the research literature from 1996 through July 2008 to identify relevant and usable studies for a meta-analysis. From the more than 1,000 empirical studies of online learning identified, researchers found 45 usable studies and a total of 50 independent effects that could be subjected to meta-analysis.

Their key findings included:

  • Students in online conditions performed modestly better, on average, than those learning the same material through traditional face-to-face instruction
  • Instruction combining online and face-to-face elements had a larger advantage relative to purely face-to-face instruction than did purely online instruction
  • Effect sizes were larger for studies in which the online instruction was collaborative or instructor-directed than in those studies where online learners worked independently
  • Most of the variations in the way in which different studies implemented online learning did not affect student learning outcomes significantly
  • The effectiveness of online learning approaches appears quite broad across different content and learner types
  • Effect sizes were larger for studies in which the online and face-to-face conditions varied in terms of curriculum materials and aspects of instructional approach in addition to the medium of instruction

When the researchers conducted a narrative review of experimental and quasi-experimental studies that contrasted different online learning practices, the majority of studies suggested:

  • Blended and purely online learning conditions implemented within a single study generally result in similar student learning outcomes
  • Elements such as video or online quizzes do not appear to influence the amount that students learn in online classes
  • Online learning can be enhanced by giving learners control of their interactions with media and prompting learner reflection
  • Providing guidance for learning for groups of students appears less successful than does using such mechanisms with individual learners

The researchers offered caveats to their findings that included:

  • Despite what appears to be strong support for blended learning applications, the studies in this meta-analysis do not demonstrate that online learning is superior as a medium.
  • Although the types of research designs used by the studies in the meta-analysis were strong (i.e., experimental or controlled quasi-experimental), many of the studies suffered from weaknesses such as small sample sizes; failure to report retention rates for students in the conditions being contrasted; and, in many cases, potential bias stemming from the authors’ dual roles as experimenters and instructors.
  • Although this meta-analysis did not find a significant effect by learner type, when learners’ age groups are considered separately, the mean effect size is significantly positive for undergraduate and other older learners but not for K–12 students.

What have your experiences been as instructor or student in online/hybrid courses? When you access a copy of the report, do the findings ring true to you?
7.365_todd_takes_a_class

Image attribution: Image copied by C Russell 20120105 // Photo of 7.365_todd_takes_a_class // Photo provided by Todd Morris http://www.flickr.com/photos/alohateam/4253713645/   // Some rights reserved by Todd Morris http://creativecommons.org/licenses/by-nc-nd/2.0/deed.en