Introduction (5-10 min)
Plamen: http://web.stcloudstate.edu/pmiltenoff/faculty/
students: interests and related information
Group assignment (5-10 min)
Effective communication strategies. List 3-5 and discuss the pros and cons (what makes them effective and are there any impediments, limitations)
Class discussion on effective communication strategies: based on the group work findings, how do you think digital storytelling may be [can it be] an effective communication tool
What is Storytelling? How does it differ from Digital Storytelling?
Rossiter & Garcia (2010) consider “digital stories are short vignettes that combine the art of telling stories with multimedia objects including images, audio, and video” (p. 37)
Is Digital Storytelling more then just storytelling on technology steroids?
What is Digital Storytelling (DS) for school leadership? A bibliographic research reveals a plenitude of research on DS in the classroom, for educators, but not much for educational leaders.
Guajardo, Oliver, Rodrigez, Valcez, Cantu, & Guajardo (2011) view digital storytelling for emerging educational leaders as “as a process for data creation, analysis, and synthesis.”
There is information for corporate leaders or community leaders and DS, but not much for ed leaders.
Let’s create our own understanding of digital storytelling for educational leaders.
Basic definitions, concepts and processes.
Learn about Web 1.0 versus Web 2.0; the Cloud; transliteracy and multiliteracy
Multimodal Literacy refers to meaning-making that occurs through the reading, viewing, understanding, responding to and producing and interacting with multimedia and digital texts. It may include oral and gestural modes of talking, listening and dramatising as well as writing, designing and producing such texts. The processing of modes, such as image, words, sound and movement within texts can occur simultaneously and is often cohesive and synchronous. Sometimes specific modes may dominate.
group work (15-20) min
split in groups of 3: an ed leader, a media specialist (or teacher with technology background) and a teacher (to represent a school committee on community relations)
you have 5 min to research (Internet, access to school resources) and 5-10 min to come up with a strategy for use of digital storytelling for expanding and improving community relationship
Base your strategy on existing examples.
E.g.:
Do the following electronic resources regarding this particular educational institution relay digital story: http://strideacademy.org/ https://www.facebook.com/StrideAcademy/ https://twitter.com/search?q=Stride%20Academy%20Charter%20School&src=tyah https://youtu.be/eekIUqMQ4v0
What do you like?
What would you do differently?
Digital Storytelling for building, expanding, improving community relations – final thoughts
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literature:
Rossiter, M., & Garcia, P. A. (2010). Digital storytelling: A new player on the narrative field.
New Directions For Adult & Continuing Education, 2010(126), 37-48. http://login.libproxy.stcloudstate.edu/login?qurl=http%3a%2f%2fsearch.ebscohost.
com%2flogin.aspx%3fdirect%3dtrue%26db%3daph%26AN%3d51532202%26
site%3dehost-live%26scope%3dsite
Estimated Hours of Learning: 28 Certificate of Completion available upon request
Learning outcomes
After participating in this eCourse, you will:
Gain experience using some of the best apps available and understand how they enable learning
Learn how to evaluate and review mobile apps
Learn how tablets complement laptops, and how their capabilities are creating new learning opportunities
Learn how apps are being used by people with special needs, and where to find additional resources for learning more
Receive guidance for creating your own app guides, offering workshops, and advising colleagues
In this 5-week eCourse, you’ll learn about the most useful apps available on tablet and mobile devices and how they can be applied in your library to create the best learning experiences for your patrons and students.
Mobile apps are empowering for people of all ages and abilities. Contrary to the popular idea that apps are only useful for “consumption,” the best apps are being used effectively as tools to enable learning and knowledge creation. In this eCourse, Nicole Hennig will show you how to incorporate apps as learning tools at your library.
Readings about security, writing, mobile apps in academia
Your thoughts on the readings (discussion forum)
Optional app review assignment
Week 3 – Reference
The Apps
Dictionaries, encyclopedias
Unit converters, maps, languages
Specialized reference apps
Subscription databases & citations
Readings & Discussion
Readings about jailbreaking, platforms, & mobile web
Apple’s iOS Human Interface Guidelines
Your thoughts on the readings (discussion forum)
Optional app review assignment
Week 4 – Multimedia
The Apps
Art viewing
Art creation
Photography and photo editing
Music listening
Music creation
Video viewing and editing
Readings & Discussion
Readings about technology & children
Your thoughts on the readings (discussion forum)
Optional app review assignment
Week 5 – Accessibility & More
Accessibility features of mobile devices
Readings & Discussion
Readings about assistive technology
Your thoughts on the readings (discussion forum)
Idea generation assignment
Ideas for using apps in library programs & services
Apps that wow
How this eCourse Works
The eCourse begins on June 5, 2017. Your participation will require approximately five to six hours a week, at times that fit your schedule. All activities take place on the website, and you will be expected to:
Read, listen to or view online content
Post to online discussion boards
Complete weekly assignments or activities
Instructor Nicole Hennig will monitor discussion boards regularly during the five-week period, lead group discussions, and will also answer individual questions. All interaction will take place on the eCourse site, which will be available 24 hours a day, 7 days a week. It’s recommended that students log into the site on the first day of class or within a few days for an overview of the content and to begin the first lesson.
The roles of librarians change with changes in user needs and demands and the technology employed. A survey conducted for Research Libraries UK found skill gaps in nine key areas in which subject librarians could be supporting researchers’ needs. Even though many librarians may want to hire new staff with these skills, a survey found that the reality for most will be training existing staff.
Definitions of library services will change. We need to grow the ways users can engage with whatever they value from libraries, whether papyrus rolls, maker spaces or data management instruction.
p. 19
What is the Unique Selling Point (USP) of libraries vis-à-vis other information service providers?
p. 21
Librarians should measure the effectiveness of services based on the users’ perceptions of success. Librarians also should move beyond surveys of how library space is being used and should conduct structured observations and interviews with the people using the space. It is not enough to know that the various spaces, whether physical or virtual, are busy. Librarians need to understand when and how the spaces are being used.
p. 33 What is Enough? Satisficing Information Needs
Role theory explains that: “When people occupy social positions their behavior is determined mainly by what is expected of that position rather than by their own individual characteristics” (Abercrombie et al., 1994, p. 360).
Rational choice theory is based on the premise that complex social behavior can be understood in terms of elementary individual actions because individual action is the elementary unit of social life. Rational choice theory posits that individuals choose or prefer what is best to achieve their objectives or pursue their interests, acting in their self-interest (Green, 2002). Stated another way, “When faced with several courses of action, people usually do what they believe is likely to have the best overall outcome” (Scott, 2000).
When individuals satisfice, they compare the benefits of obtaining “more information” against the additional cost and effort of continuing to search (Schmid, 2004)
p. 38
This paper examines the theoretical concepts—role theory, rational choice, and satisficing—by attempting to explain the parameters within which users navigate the complex information-rich environment and determine what and how much information will meet their needs.
p. 39
The information-seeking and -searching research that explicitly addresses the topic of “what is good enough” is scant, though several studies make oblique references to the stopping stage, or to the shifting of directions for want of adequate information. Kraft and Lee (1979, p. 50) propose three stopping rules:
1. The satiation rule, “where the scan is terminated only when the user becomes satiated by finding all the desired number of relevant documents”;
2. The disgust rule, which “allows the scan to be terminated only when the user becomes disgusted by having to examine too many irrelevant documents”; and
3. The combination rule, “which allows the user to be seen as stopping the scan if he/she is satiated by finding the desired number of relevant documents or disgusted by having to examine too many irrelevant documents, whichever comes first.”
p. 42
Ellis characterizes six different types of information activities: starting, chaining, browsing, differentiating, monitoring and extracting. He emphasizes the information- seeking activities, rather than the nature of the problems or criteria used for determining when to stop the information search process. In a subsequent article, Ellis (1997) observes that even in the final stages of writing, individuals may continue the search for information in an attempt to answer unresolved questions or to look for new literature.
p. 43
Undergraduate and graduate students
Situations creating the need to look for information (meeting assignment requirements):
• Writing research reports; and
• Preparing presentations.
Criteria used for stopping the information search (fulfilling assignment requirements):
1. Quantitative criteria:
— Required number of citations was gathered;
— Required number of pages was reached;
— All the research questions were answered; and
— Time available for preparing.
2. Qualitative criteria:
— Accuracy of information;
— Same information repeated in several sources;
— Sufficient information was gathered; and
— Concept understood.
Criteria used for stopping the information search (fulfilling assignment requirements):
1. Quantitative criteria:
— Required number of citations was gathered;
— Required number of pages was reached;
— All the research questions were answered; and
— Time available for preparing.
2. Qualitative criteria:
— Accuracy of information;
— Same information repeated in several sources;
— Sufficient information was gathered; and
— Concept understood.
p. 44
Faculty
Situations creating the need to look for information (meeting teaching needs):
• Preparing lectures and presentations;
• Delivering lectures and presentations;
• Designing and conducting workshops;
• Meeting scholarly and research needs; and
• Writing journal articles, books and grant proposals.
Criteria used for stopping the information search (fulfilling teaching needs):
1. Quantitative criteria:
— Time available for: preparing lectures and presentations; delivering lectures
— And presentations; and designing and conducting workshops; and
— Fulfilling scholarly and research needs.
2. Qualitative criteria:
— Every possible synonym and every combination were searched;
— Representative sample of research was identified;
— Current or cutting-edge research was found;
— Same information was repeated;
— Exhaustive collection of information sources was discovered;
— Colleagues’ feedback was addressed;
— Journal reviewers’ comments were addressed; and
— Publisher’s requirements were met.
1. Quantitative criteria for stopping:
— Requirements are met;
— Time constraints are limited; and
— Coverage of material for publication is verified by colleagues or reviewers.
2. Qualitative criteria for stopping:
— Trustworthy information was located;
— A representative sample of sources was gathered;
— Current information was located;
— Cutting-edge material was located;
— Exhaustive search was performed; and
— Exhaustive collection of information sources was discovered.
p. 53
“Screenagers” and Live Chat Reference: Living Up to the Promise
p. 81
Sense-Making and Synchronicity: Information-Seeking Behaviors of Millennials and Baby Boomers
p. 84 Millennials specific generational features pertinent to libraries and information-seeking include the following:
Rushkoff (1996) described the non-linearity of the thinking patterns of those he terms “children of chaos,” coining the term “screenagers” to describe those who grew up surrounded by television and computers (p. 3).
p. 85
Rational choice theory describes a purposive action whereby individuals judge the costs and benefits of achieving a desired goal (Allingham 1999; Cook and Levi 1990; Coleman and Fararo 1992). Humans, as rational actors, are capable of recognizing and desiring a certain outcome, and of taking action to achieve it. This suggests that information seekers rationally evaluate the benefits of information’s usefulness and credibility, versus the costs in time and effort to find and access it.
Role theory offers a person-in-context framework within the information-seeking situation which situates behaviors in the context of a social system (Mead 1934; Marks 1996). Abercrombie, et al. (1994, p. 360) state, “When people occupy social positions their behavior is determined mainly by what is expected of that position rather than by their own individual characteristics.” Thus the roles of information-seekers in the academic environment influence the expectations for performance and outcomes. For example, faculty would be expected to look for information differently than undergraduate students. Faculty members are considered researchers and experts in their disciplines, while undergraduate students are novices and protégés, roles that place them differently within the organizational structure of the academy (Blumer, 2004; Biddle, 1979; Mead, 1934; Marks, 1996; Marks, 1977).
Children who use smartphones, tablets, and video games for more than seven hours a day are more likely to experience premature thinning of the cortex, the outermost layer of the brain that processes thought and action, a 2018 study found. https://t.co/OJe6ZTBVkx
But others say banning laptops can be counterproductive, arguing these devices can create opportunity for students to discover more information during class or collaborate. And that certain tools and technologies are necessary for learners who struggle in a traditional lecture format.
Flanigan, who studies self-regulation, or the processes students use to achieve their learning goals, began researching digital distraction after confronting it in the classroom as a graduate instructor.
Digital distraction tempts all of us, almost everywhere. That’s the premise of Digital Minimalism: Choosing a Focused Life in a Noisy World by Cal Newport, an associate professor of computer science at Georgetown University.
The professor is upset. The professor has taken action, by banning laptops.
Bruff, whose next book, Intentional Tech: Principles to Guide the Use of Educational Technology in College Teaching, is set to be published this fall, is among the experts who think that’s a mistake. Why? Well, for one thing, he said, students are “going to have to graduate and get jobs and use laptops without being on Facebook all day.” The classroom should help prepare them for that.
When Volk teaches a course with 50 or 60 students, he said, “the idea is to keep them moving.”Shifting the focal point away from the professor can help, too. “If they are in a small group with their colleagues,” Volk said, “very rarely will I see them on their laptops doing things they shouldn’t be.”
Professors may not see themselves as performers, but if they can’t get students’ attention, nothing else they do matters. “Learning doesn’t happen without attention,” said Lang, who is writing a book about digital distraction, Teaching Distracted Minds.
One aspect of distraction Lang plans to cover in his book is its history. It’s possible, he said, to regard our smartphones as either too similar or dissimilar from the distractions of the past. And it’s important, he said, to remember how new this technology really is, and how much we still don’t know about it.
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Study: Use of digital devices in class affects students’ long-term retention of information
A new study conducted by researchers at Rutgers University reveals that students who are distracted by texts, games, or videos while taking lecture notes on digital devices are far more likely to have their long-term memory affected and to perform more poorly on exams, even if short-term memory is not impacted, EdSurge reports.
Exam performance was not only poorer for students using the devices, but also for other students in classes that permitted the devices because of the distraction factor, the study found.
After conducting the study, Arnold Glass, the lead researcher, changed his own policy and no longer allows his students to take notes on digital devices.
A nationally representative Gallup poll conducted in March showed that 42% of K-12 teachers feel that the use of digital devices in the classroom are “mostly helpful” for students, while only 28% feel they are “mostly harmful.” Yet 69% of those same teachers feel the devices have a harmful impact on student mental health and 55% feel they negatively affect student physical health.
According to a 2016 study of college students, student waste about 20% of their class time for “non-class” purposes — texting, emailing, or using social media more than 11 times in a typical day. In K-12, increased dependence on digital devices often interferes with homework completion as well.
Though the new study focused on long-term retention, past studies have also shown that indicate a negative correlation between use of digital devices during class and exam scores. A 2015 study by the London School of Economics revealed that pupils in schools that banned cell phones performed better on exams and that the differences were most notable for low-performing students.
Using laptops in class harms academic performance, study warns. Researchers say students who use computers score half a grade lower than those who write notes
findings, published in the journal Economics of Education Review in a paper, based on an analysis of the grades of about 5,600 students at a private US liberal arts college, found that using a laptop appeared to harm the grades of male and low-performing students most significantly.
While the authors were unable to definitively say why laptop use caused a “significant negative effect in grades”, the authors believe that classroom “cyber-slacking” plays a major role in lower achievement, with wi-fi-enabled computers providing numerous distractions for students.
High schoolers assigned a laptop or a Chromebook were more likely to take notes in class, do internet research, create documents to share, collaborate with their peers on projects, check their grades and get reminders about tests or homework due dates.
Blended Learning – the idea of incorporating technology into the every day experience of education – can save time, raise engagement, and increase student retention.
Lets face it, our students are addicted to their phones. Like…drugs addicted. It is not just a bad habit, it is hard wired in their brains(literally) to have the constant stimulation of their phones.
If you are interested in the research, there is a lot out there to read about how it happens and how bad it is.
a Scientific American article published about a recent study of nomophobia – on adults (yes, many of us are addicted too).
Because the questionnaire data comprised both Likert scales and open questions, they were analyzed quantitatively and qualitatively. Textual data (open responses) were qualitatively analyzed by coding: each segment (e.g. a group of words) was assigned to a semantic reference category, as systematically and rigorously as possible. For example, “Using an iPad in class really motivates me to learn” was assigned to the category “positive impact on motivation.” The qualitative analysis was performed using an adapted version of the approaches developed by L’Écuyer (1990) and Huberman and Miles (1991, 1994). Thus, we adopted a content analysis approach using QDAMiner software, which is widely used in qualitative research (see Fielding, 2012; Karsenti, Komis, Depover, & Collin, 2011). For the quantitative analysis, we used SPSS 22.0 software to conduct descriptive and inferential statistics. We also conducted inferential statistics to further explore the iPad’s role in teaching and learning, along with its motivational effect. The results will be presented in a subsequent report (Fievez, & Karsenti, 2013)
The 20th century notion of conducting a qualitative research by an oral interview and then processing manually your results had triggered in the second half of the 20th century [sometimes] condescending attitudes by researchers from the exact sciences.
The reason was the advent of computing power in the second half of the 20th century, which allowed exact sciences to claim “scientific” and “data-based” results.
One of the statistical package, SPSS, is today widely known and considered a magnificent tools to bring solid statistically-based argumentation, which further perpetuates the superiority of quantitative over qualitative method.
At the same time, qualitative researchers continue to lag behind, mostly due to the inertia of their approach to qualitative analysis. Qualitative analysis continues to be processed in the olden ways. While there is nothing wrong with the “olden” ways, harnessing computational power can streamline the “olden ways” process and even present options, which the “human eye” sometimes misses.
Below are some suggestions, you may consider, when you embark on the path of qualitative research.
excellent guide to the structure of a qualitative research
Palys, T., & Atchison, C. (2012). Qualitative Research in the Digital Era: Obstacles and Opportunities. International Journal Of Qualitative Methods, 11(4), 352-367.
Palys and Atchison (2012) present a compelling case to bring your qualitative research to the level of the quantitative research by using modern tools for qualitative analysis.
1. The authors correctly promote NVivo as the “jaguar’ of the qualitative research method tools. Be aware, however, about the existence of other “Geo Metro” tools, which, for your research, might achieve the same result (see bottom of this blog entry).
2. The authors promote a new type of approach to Chapter 2 doctoral dissertation and namely OCR-ing PDF articles (most of your literature as of 2017 is mostly either in PDF or electronic textual format) through applications such as
Abbyy Fine Reader, https://www.abbyy.com/en-us/finereader/
OmniPage, http://www.nuance.com/for-individuals/by-product/omnipage/index.htm
Readirus http://www.irislink.com/EN-US/c1462/Readiris-16-for-Windows—OCR-Software.aspx
The text from the articles is processed either through NVIVO or related programs (see bottom of this blog entry). As the authors propose: ” This is immediately useful for literature review and proposal writing, and continues through the research design, data gathering, and analysis stages— where NVivo’s flexibility for many different sources of data (including audio, video, graphic, and text) are well known—of writing for publication” (p. 353).
In other words, you can try to wrap your head around huge amount of textual information, but you can also approach the task by a parallel process of processing the same text with a tool.
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Here are some suggestions for Computer Assisted / Aided Qualitative Data Analysis Software (CAQDAS)for a small and a large community applications):
text mining: https://en.wikipedia.org/wiki/Text_mining Text mining, also referred to as text data mining, roughly equivalent to text analytics, is the process of deriving high-quality information from text. High-quality information is typically derived through the devising of patterns and trends through means such as statistical pattern learning. Text mining usually involves the process of structuring the input text (usually parsing, along with the addition of some derived linguistic features and the removal of others, and subsequent insertion into a database), deriving patterns within the structured data, and finally evaluation and interpretation of the output. https://ischool.syr.edu/infospace/2013/04/23/what-is-text-mining/
Qualitative data is descriptive data that cannot be measured in numbers and often includes qualities of appearance like color, texture, and textual description. Quantitative data is numerical, structured data that can be measured. However, there is often slippage between qualitative and quantitative categories. For example, a photograph might traditionally be considered “qualitative data” but when you break it down to the level of pixels, which can be measured.
word of caution, text mining doesn’t generate new facts and is not an end, in and of itself. The process is most useful when the data it generates can be further analyzed by a domain expert, who can bring additional knowledge for a more complete picture. Still, text mining creates new relationships and hypotheses for experts to explore further.
Pros and Cons of Computer Assisted Qualitative Data Analysis Software
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more on quantitative research:
Asamoah, D. A., Sharda, R., Hassan Zadeh, A., & Kalgotra, P. (2017). Preparing a Data Scientist: A Pedagogic Experience in Designing a Big Data Analytics Course. Decision Sciences Journal of Innovative Education, 15(2), 161–190. https://doi.org/10.1111/dsji.12125
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literature on quantitative research:
St. Cloud State University MC Main Collection – 2nd floor
AZ195 .B66 2015
p. 161 Data scholarship in the Humanities
p. 166 When Are Data?
Philip Chen, C. L., & Zhang, C.-Y. (2014). Data-intensive applications, challenges, techniques and technologies: A survey on Big Data. Information Sciences, 275(Supplement C), 314–347. https://doi.org/10.1016/j.ins.2014.01.015
Shortly: Limitations are influences that the researcher cannot control. They are the shortcomings, conditions or influences that cannot be controlled by the researcher that place restrictions on your methodology and conclusions. Any limitations that might influence the results should be mentioned. Delimitationsare choices made by the researcher which should be mentioned. They describe the boundaries that you have set for the study. Assumptions are accepted as true, or at least plausible, by researchers and peers who will read your dissertation or thesis.
An article in The Conversation recently argued universities should ban PowerPoint because it makes students stupid and professors boring.
Originally for Macintosh, the company that designed it was bought by Microsoft. After its launch the software was increasingly targeted at business professionals, especially consultants and busy salespeople.
As it turns out, PowerPoint has not empowered academia. The basic problem is that a lecturer isn’t intended to be selling bullet point knowledge to students, rather they should be making the students encounter problems. Such a learning process is slow and arduous, and cannot be summed up neatly. PowerPoint produces stupidity, which is why some, such as American statistician Edward Tufte have said it is “evil”.
Of course, new presentation technologies like Prezi, SlideRocket or Impress add a lot of new features and 3D animation, yet I’d argue they only make things worse. A moot point doesn’t become relevant by moving in mysterious ways. The truth is that PowerPoints actually are hard to follow and if you miss one point you are often lost.
While successfully banning Facebook and other use of social media in our masters programme in philosophy and business at Copenhagen Business School, we have also recently banned teachers using PowerPoint. Here we are in sync with the US armed forces, where Brigadier-General Herbert McMaster banned it because it was regarded as a poor tool for decision-making.
Courses designed around slides therefore propagate the myth that students can become skilled and knowledgeable without working through dozens of books, hundreds of articles and thousands of problems.
A review of research on PowerPoint found that while students liked PowerPoint better than overhead transparencies, PowerPoint did not increase learning or grades
Research comparing teaching based on slides against other methods such as problem-based learning – where students develop knowledge and skills by confronting realistic, challenging problems – predominantly supports alternative methods.
PowerPoint slides are toxic to education for three main reasons:
students come to think of a course as a set of slides. Good teachers who present realistic complexity and ambiguity are criticised for being unclear. Teachers who eschew bullet points for graphical slides are criticised for not providing proper notes.
Slides discourage reasonable expectations
Measuring the wrong things
If slide shows are so bad, why are they so popular?
Exams, term papers and group projects ostensibly measure knowledge or ability. Learning is the change in knowledge and skills and therefore must be measured over time.
When we do attempt to measure learning, the results are not pretty. US researchers found that a third of American undergraduates demonstrated no significant improvement in learning over their four-year degree programs.
They tested students in the beginning, middle and end of their degrees using the Collegiate Learning Assessment, an instrument that tests skills any degree should improve – analytic reasoning, critical thinking, problem solving and writing.
Disruptive innovation has been a buzzword since Clayton Christensen coined it back in the mid 1990s.
Here are four key things to remember when assessing whether the next new company is likely to disrupt your business:
1. The common understanding of disruption IS NOT disruption according to Christensen
A great article by Ilan Mocharidiscusses the misuse of the word disruption when referring to business. As he clarifies, disruption is “what happens when the incumbents are so focused on pleasing their most profitable customers that they neglect or misjudge the needs of their other segments.”
2. Disruption can be low-end or new-market
These differences are laid out in Disruptive Strategy with Clayton Christensen. Low-end disruption refers to businesses that come in at the bottom of the market and serve customers in a way that is “good enough.” In other words, they put their focus on where the greater profit margins are.
The main difference between the two types of disruption lies in the fact that low-end disruption focuses on overserved customers, and new-market disruption focuses on underserved customers.
3. Christensen’s disruption is a process, rather than a product or service
When innovative new products or services – iPhone, Tesla’s electric cars, Uber, and the like – launch and grab the attention of the press and consumers, do they qualify as disruptors in their industries? Writing in Harvard Business Review,Christensen cautions us that it takes time to determine whether an innovator’s business model will succeed.
4. Choose your battles wisely
If you are a current incumbent and want to be on the lookout for a possibly disruptive emerging business, the clarification of what disruption is certainly helps.
Understanding disruption is also helpful if you are looking for opportunities to start or scale your business
I absolutely echo Kimber’s notion that a team approach to course development can actually take longer, even when one of the team members is an instructional designer. Perhaps because faculty members are used to controlling all aspects of their course development and delivery, the division of labor concept may feel too foreign to them. An issue that is similar in nature and referred to as ‘unbundling the faculty role’ is discussed at length in the development of competency-based education (CBE) courses and it is not typically a concept that faculty embrace.
Robin
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I will also confirm that the team approach to course development can take longer. Indeed it does in my experience. It requires much more “back and forth”, negotiating of who is doing what, ensuring that the overall approach is congruent, etc. That’s not to say that it’s not a worthwhile endeavor in some cases where it makes pedagogical sense (in our case we are designing courses for 18-22 year-old campus-based learners and 22+ year-old fully online learners at the same time), but if time/cost savings is the goal, you will be sorely disappointed, in my experience. The “divide and conquer” approach requires a LOT of coordination and oversight. Without that you will likely have a cobbled together, hodgepodge of a course that doesn’t meet expectations.
Best, Carine Director, Office of Instructional Design & Academic Technology Ottawa University 1001 S. Cedar St. * Ottawa, KS 66067 carine.ullom@ottawa.edu * 785-248-2510
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Breaking up a course and coming up with a cohesive design and approach, could make the design process longer. At SSC, we generally work with our faculty over the course of a semester for each course. When we’ve worked with teams, we have not seen a shortened timeline.
The length of time it takes to develop a course depends on the content. Are there videos? If so, they have to be created, which is time-consuming, plus they either need to have a transcript created or they need subtitles. Both of those can be time-consuming. PowerPoint slides take time, plus, they need more content to make them relevant. We are working with our faculty to use the Universal Design for Learning model, which means we’re challenging them to create the content to benefit the most learners
I have a very small team whose sole focus is course design and it takes us 3-4 weeks to design a course and it’s our full-time job!
Linda
Linda C. Morosko, MA Director, eStarkState Division of Student Success 330-494-6170 ext. 4973 lmorosko@starkstate.edu
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Kelvin, we also use the 8-week development cycle, but do occasionally have to lengthen that cycle for particularly complex courses or in rare cases when the SME has had medical emergencies or other major life disruptions. I would be surprised if multiple faculty working on a course could develop it any more quickly than a single faculty member, though, because of the additional time required for them to agree and the dispersed sense of responsibility. Interesting idea.
-Kimber
Dr. Kimberly D. Barnett Gibson, Assistant Vice President for Academic Affairs and Online Learning Our Lady of the Lake University 411 SW 24th Street San Antonio, TX 78207 Kgibson@ollusa.edu210.431.5574 BlackBoard IM kimberly.gibson https://www.pinterest.com/drkdbgavpol/ @drkimberTweets
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Hello everyone. As a follow-up to the current thread, how long do you typically give hey course developer to develop a master course for your institution? We currently use an eight week model but some faculty have indicated that that is not enough time for them although we have teams of 2 to 4 faculty developing such content. Our current assumption is that with teams, there can be divisions of labor that can reduce the total amount time needed during the course development process.
Kelvin Bentley, PhD Vice President of Academic Affairs, TCC Connect Campus Tarrant County College District
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At Berkeley College, full-time faculty may develop online courses in conjunction with an instructional designer. The course is used as a master template for other sections to be assigned from. Once the course has been scheduled and taught, the faculty member receives a stipend. The faculty member would receive their normal pay to teach the developed course as part of their semester course load, with no additional royalties assigned for it or any additional sections that may be provided to students.
Regards, Gina Gina Okun Assistant Dean, Online Berkeley College 64 East Midland Avenue, Suite 2, Paramus, NJ 07652 (973)405-2111 x6309 gina-okun@berkeleycollege.edu
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We operate with nearly all adjunct faculty where >70% of enrollment credits are onlinez
With one exception that I can recall, the development contract includes the college’s outright ownership, with no royalty rights. One of the issues with a royalty based arrangement would be what to do when the course is revised (which happens nearly every term, to one degree or another). At what point does the course begin to take on the character of another person’s input?
What do you do if the course is adapted for a shorter summer term, or a between-term intensive? What if new media tools or a different LMS are used? Is the royalty arrangement based on the syllabus or the course content itself? What happens if the textbook goes out of print, or an Open resource becomes available? What happens if students evaluate the course poorly?
I’m not in position to set this policy — I’m only reporting it. I like the idea of a royalty arrangement but it seems like it could get pretty messy. It isn’t as if you are licensing a song or an image where the original product doesn’t change. Courses, the modes of delivery, and the means of communication change all the time. Seems like it would be hard to define what constitutes “the course” after a certain amount of time.
Steve Covello Rich Media Specialist/Instructional Designer/Online Instructor Chalk & Wire e-Portfolio Administrator Granite State College 603-513-1346 Video chat: https://appear.in/id.team Scheduling: http://meetme.so/stevecovello
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I’ve worked with many institutions that have used Subject Matter Experts (SMEs) to develop or provide the online course content. Most often, the institutions also provide a resource in the form of an Instructional Designer (ID) to take the content and create the actual course environment.
The SME is paid on a contract basis for provision of the content. This is a one-time payment, and the institution then owns the course content (other than integrated published materials such as text books, licensed online lab products, etc.). The SME may be an existing faculty member at the institution or not, or the SME may go on to teach the course at the institution. In any event, whoever teaches the course would be paid the standard faculty rate for the course. If the course requires revisions to the extent that a person will need to be engaged for content updates, then that can be a negotiated contract. Typically it is some fraction of the original development cost. No royalties are involved.
Within SUNY, there is some variance regarding whether a stipend is paid for development or not. In either case, since we are unionized there is policy regarding IP. IP resides with the faculty developer unless both parties agree in writing in the form of a contract to assign or share rights.
Thank you for your feedback on this issue. Our institution does does not provide a royalty as we consider course development as a fee-for-service arrangement. We pay teams of 2-4 faculty $1000 each to develop master course shells for our high-enrollment courses. Instead of a royalty fee, I think an institution can simply provide course developers the perk of first right of refusal to teach the course when it offered as well as providing course developers with the first option to make revisions to the course shell over time.
Kelvin
Kelvin Bentley, Ph.D. Vice President of Academic Affairs, TCC Connect Campus Tarrant County College District
Once upon a time, and several positions ago, we set up a google doc for capturing all kinds of data points across institutions, like this. I’m sure it’s far out of date, but may still have some ideas or info in there – and could possibly be dusted off and oiled up for re-use… I present the Blend-Online Data Collector. This tab is for course development payment.
Kind regards,
Clark
Clark Shah-Nelson
Assistant Dean, Instructional Design and Technology
University of Maryland School of Social Work—Twitter … LinkedIn —voice/SMS: (646) 535-7272fax: 270.514.0112
Hi Jenn,
Just want to clarify…you say faculty “sign over all intellectual property rights of the course to the college.” but later in the email say “Faculty own all intellectual property and can take it with them to teach at another institution”, so is your policy changing to the former? Or, is it the later and that is what you are asking about?
I’ll send details on our policy directly to your email account.
I am tasked with finding out what the going rate is for the following model:
We pay an adjunct faculty member (“teaching faculty”) a set amount in order to develop an online course and sign over all intellectual property rights of the course to the college.
Is anyone doing this? I’ve heard of models that include royalties, but I personally don’t know of any that offer straight payment for IP. I know this can be a touchy subject, so feel free to respond directly to me and I will return and post a range of payment rates with no other identifying data.
For some comparison, we are currently paying full time faculty a $5000 stipend to spend a semester developing their very first online class, and then they get paid to teach the class. Subsequent online class developments are unpaid. Emerson owns the course description and course shell and is allowed to show the course to future faculty who will teach the online course. Faculty own all intellectual property and can take it with them to teach at another institution. More info: http://www.emerson.edu/itg/online-emerson/frequently-asked-questions
I asked this on another list, but wanted to get Blend_Online’s opinion as well. Thanks for any pointers!
Jenn Stevens
Director | Instructional Technology Group | 403A Walker Building | Emerson College | 120 Boylston St | Boston MA 02116 | (617) 824-3093
Ellen M. Murphy
Director of Program Development
Graduate Professional Studies
