MALET Issues

The Rules of Virtual Groups: Trust, Liking, and Performance in Computer-Mediated Communication EDU681102 - FA15 Module 3, Week 2 Ness, Article #1

Cao, M. (2014). Understanding learners' experience in MOOCs: a review of literature. Retrieved from http://repositories.lib.utexas.edu/handle/2152/26325 Abstract "MOOCs have become a popular topic in the educational field since 2008. This report reviews the literature from 2008 to March 2014 on the development of MOOCs with a focus on learners' experience. By looking into the topics researchers have been investigating, this review identifies eight themes on this topic: (1) Platforms and Technology, (2) Instructional Materials and Assessment, (3) Instructors, (4) Participants' demographics, (5) Motivation and Engagement Patterns, (6) Self-directed Learning and Learner Interaction, (7) Blended Education, and (8) Completion rates. The review also indicates that MOOC course design (pedagogies, technical support, assessment and instructors) and learner characteristics (motivation, engagement levels, self-directed learning and digital literacy) influence learners' experience. Possible future research questions are also proposed in this report." (p.1) This report is a literature review for a masters by a student at University of Texas at Austin. At the time of writing (March 2014) the author found relatively few references focusing on learners' experience in MOOCs from scholarly journals- 15 in total and she reported on them. These articles disproportionately analyzed cMOOCs as compared with xMOOCs and in both cases data was drawn from relatively early courses. Most references cover only one course. The report identifies 8 themes to categorize the articles' content: (1) Platforms and Technology, (2) Instructional Materials and Assessment, (3) Instructors, (4) Participants' demographics, (5) Motivation and Engagement Patterns, (6) Self-directed Learning and Learner Interaction, (7) Blended Education, and (8) Completion rates. Analysis shows that all these categories are inter-related and affect each other. The author identifies 5 areas for further r

Jordan, K. (2014). Initial trends in enrolment and completion of Massive Open Online Courses. International Review of Research in Open and Distance Learning, 15(1), 133-160. Retrieved from http://www.irrodl.org/index.php/irrodl/article/viewFile/1651/2813 Abstract "The past two years have seen rapid development of massive open online courses (MOOCs) with the rise of a number of MOOC platforms. The scale of enrolment and participation in the earliest mainstream MOOC courses has garnered a good deal of media attention. However, data about how the enrolment and completion figures have changed since the early courses is not consistently released. This paper seeks to draw together the data that has found its way into the public domain in order to explore factors affecting enrolment and completion. The average MOOC course is found to enroll around 43,000 students, 6.5% of whom complete the course. Enrolment numbers are decreasing over time and are positively correlated with course length. Completion rates are consistent across time, university rank, and total enrolment, but negatively correlated with course length. This study provides a more detailed view of trends in enrolment and completion than was available previously, and a more accurate view of how the MOOC field is developing." p.133 This is a peer reviewed article by a frequently cited author from the Open University who has set up for other researchers a MOOC Research Literature Browser that currently has 257 annotated research articles. It was written in 2013 using enrolment and completion data that was available on the Internet. It lists the data in a long table (for transparency) and shows in graphs enrolment and completion analysis. The article's main contribution is the aggregation of data for a large number of courses undertaken from 2011-2013 on 3 US based platforms, data not readily ava

Macleod, B. H., Haywood, J., & Woodgate, A. (2015). Emerging patterns in MOOCs: Learners, course designs and directions. TechTrends, 59(1), 56-63. Retrieved from http://eds.b.ebscohost.com.library.esc.edu/eds/pdfviewer/pdfviewer?vid=2&sid=452639d7-274a-43d4-9d76-6f20356bc6e1%40sessionmgr115&hid=111 Abstract "Engagement with Massive Open Online Courses (MOOCs) at the University of Edinburgh has emerged from its strategic priorities to explore and innovate in the area of online and technologically supported approaches to teaching and learning. This paper provides an account of analysis aimed at understanding who Edinburgh MOOC learners are, who elects to participate and the aspirations of that population, and the place that the MOOC will occupy in the University's online learning ecology. The analysis addresses a number of predictions that have been made about MOOCs since 2012, including their use for providing educational opportunities to the disadvantaged; global uptake of online learning; growth of an 'educational imperialism'; and the claim that 'MOOCs are for male geeks', and concludes with some observations about the University of Edinburgh's future plans in this space." (p.56) This is a peer reviewed academic article from TechTrends by University of Edinburgh. It analyzes the university's experience with MOOC learners after delivering 6 MOOCs on the Coursera platform, twice each. It presents analysis from 150K questionnaire respondents reflecting 600,000 enrolled learners. Some comparisons are made between the Coursera learners with newer platforms namely FutureLearn (UK) and Rwaq, a Saudi Arabian platform in Arabic. The sample of 20% of MOOC learners is considered representative of Coursera learners generally. Good graphics show results of an

Kizilcec, R. F., Piech, C. and Schneider, E. (2013). Deconstructing disengagement: analyzing learner subpopulations in massive open online courses. In Proceedings of the Third International Conference on Learning Analytics and Knowledge (pp. 170-179). New York, NY, USA: ACM. doi:10.1145/2460296.2460330 The abstract begins as follows: "As MOOCs grow in popularity, the relatively low completion rates of learners has been a central criticism. This focus on completion rates, however, reflects a monolithic view of disengagement that does not allow MOOC designers to target interventions or develop adaptive course features for particular subpopulations of learners. To address this, we present a simple, scalable, and informative classification method that identifies a small number of longitudinal engagement trajectories in MOOCs." This peer reviewed conference paper goes on to describe how they classified learners and using data analytics from 3 courses as well as survey data from learners they developed 4 classifications. Of these classifications in addition to those who completed the courses, the auditors were of interest. They proceeded to suggest possible areas where the MOOC approaches could be adapted and tested to meet the needs of learners such as auditors. They also considered ways of increasing access and equity.

EDU681102 - Module 2, Week 2. Mark Ness, article #1.

EDU681102 - Module 2, Week 2. Mark Ness, article #2.

Edited link - https://diigo.com/08285f

What are Open Educational Resources (OERs)? Why should I care about OERs? What are some examples of OER projects? How has UNESCO supported OERs? What is the 2012 World Open Educational Resources Congress and what are its aims? What is the Paris Declaration? How can I get involved?

"While language learning and place-based learning linked to history, geography, sociology, and social studies are already available for such devices, the next developments are focused on using wearable devices linked to smartphones for self-assessment linked to a much wider range of learning. Imagine being a student four weeks away from final examinations in chemistry. What if your Apple Watch or smartphone asked you chemistry questions related to your course of study twice a day, every day for these four weeks? The daily feedback could help you focus review on topics you are weak in and reinforce your mastery of topics in which you are strong. These adaptive assessments are becoming more widely used and can be linked to open educational resources on the specific topics the student needs to master so as to aid their learning."

This literature review (2015) by Dr Sarah Hayes, who is a lecturer in Technology Enhanced and Flexible Learning at Aston University, contributes to the MOOCs' debate. "The review demonstrates the breadth and quality of the discussions, and supporting evidence, that are continuing to occur. The review is provided on the basis of offering a wider range of resources, which offer different perspectives and different ways of thinking about the issue of quality that MOOCs generate. "

EDU681102 - Module 1, Week 2. Mark Ness, article #1

Again, annotated version was not preserved when URL link was created...

For an industry that has tried to avoid technology, healthcare is embracing the iPad. Here's a look at how it's being used today and the promise it holds for tomorrow.

The iPad (and iPhone) have been approved by the FDA (http://appleinsider.com/articles/11/02/04/fda_approves_ipad_iphone_radiology_app_for_mobile_diagnoses/) & American College of Radiology (ACR) for use as a primary monitor for mobile interpretation and evaluation of all forms of medical images (diagnostic x-ray, CT, MR, etc.)! My educational program considered adopting iPads for clinical use, but ultimately decided against adopting them because, 1. they were too large for students to carry around and 2. we were concerned about potential for theft.

Babette Moeller & Tim Reitzes (2011) Education Development Center, Inc. (EDC). Integrating Technology with Student-Centered Learning. Quincy, MA: Nellie Mae Education Foundation. Retrieved from http://www.nmefoundation.org/getmedia/befa9751-d8ad-47e9-949d-bd649f7c0044/integrating The intent of this report is to detail the concepts of using technology with master of skills in mind. Beginning on page 17, details of assessment, advantages of technology-based assessment, mastery learning approach. Further they discuss the concepts of tools like clickers for quick feedback on levels of understanding and the details necessary for successful online learning - both synchronous and asynchronous.

Bill, I was somewhat surprised that the article includes a introductory headline: "Not surprising, 43 percent of students feel unprepared to use technology as they look ahead to higher education or their work life" without including some qualification as to why it's not surprising. If this comment is related to digital immigrants, learners disadvantaged by socioeconomic constraints and/or learners residing in remote locations lacking access to technology hardware, software and/or reliable Internet connection, the statement seems less surprising. As I read the article, the rationale for including the headline became clear - the article focuses on specific technology constraints related to many types of learners. The article outlines a plethora of opportunities to change educational paradigms that focus on the integration and utilization of technology-rich learning methodologies.

Ho, A. D., Reich, J., Nesterko, S., Seaton, D. T., Mullaney, T., Waldo, J., & Chuang, I. (2014). HarvardX and MITx: The first year of open online courses (HarvardX and MITx Working Paper No. 1). Retrieved from http://ssrn.com/abstract=2381263 The report analyzes in detail the interaction between the students and courses and draws conclusions based on the findings and suggests further research. One of the insights that makes MOOCs quite different than traditional classroom courses is the usage patterns. The authors pointed out that "[n]ew metrics, far beyond grades and course certification, are necessary to capture the diverse usage patterns in the data. A simple comparison of grades and viewed content shows thousands of users who fit a range of profiles. Of particular interest may be those students who accessed substantial course content but did not participate in assessments." (Ho, et al., 2014, p. 3.)

To Marian: I never really paid that much attention to MOOCs until you presented all this information on them. I suppose distance learning and MOOCs are the wave of the future. I am going to have to learn a lot more about MOOCs to understand where higher education may well be going -- at least at the undergraduate level.

Marian: We have an unusual culture where I work. If there is work, it comes with a price. We have many faculty who feel that they need to be paid a lot more to develop in this platform model. 100 students in a course is hard for them to imagine, but much of the grading can be automated. I would like to encourage the use of MOOCs for a few reasons, but I have two that are of value to the education industry. The first is students who are unsure of their educational goals can take advantage of the free or very low cost access to content to see if the path is for them. Second, there seems to be an opportunity for increased enrollment. This is an area that many institutions across the nation are struggling with. Having so much more online availability and larger classes could be part of the solution.

Guo, P., Kim, J., & Rubin, R. (2014). How video production affects student engagement: An empirical study of mooc videos. Proceedings of the First ACM Conference on Learning @ scale conference. Retrieved from http://pgbovine.net/publications/edX-MOOC-video-production-and-engagement_LAS-2014.pdf

Reference Gasevic, D., Kovanovic, V. Joksimovic, S., Siemens, G. (2014). Where is Research on Massive Open Online Courses Headed ? A Data Analysis of the MOOC Research Initiative. The International Review of Research in Open and Distance Learning, 15(5), 135 -176. Retrieved from http://www.irrodl.org/index.php/irrodl/article/view/1954/3111

Marian, this is an involved research report on MOOC research initiative! Specifically, the issue of low course completion and high degree of student attrition was often pronounced as the key challenge of MOOCs & that understanding factors that affect student engagement, completion and success in MOOCs is a complicated psychological process. Theory of planned behavior (TPB) - used to study behavioral change - in the study's case, changing students intention to complete a MOOC and thus, increase their likelihood of course completion - it remains to be seen to what extent a student's intention can be changed if the student did not have an intention to complete a MOOC in the first place. What would be a reason that could motivate a student to change their intention in cases when she/he only enrolled in a MOOC to access information provided without intentions to take any formal assessments? Side note - are you aware of (or have you already taken) ESC's EDU-681111 Metacognitive Analysis: U Albany & Empire State College MOOC? Also, you may be interested in reading this article - Beyond MOOCs: Is IT Creating a New, Connected Age? EDUCAUSE Sprint 2013.

At Health IT Outcomes, we've made it our mission to provide the healthcare industry with expert guidance on technology system selection, integration, project management, and change management. To help achieve this goal, we speak with industry leaders on everything from EHRs to HIEs to HIM, and then share these conversations with you.

I am interested in reading this article to learn about how patient care is being "powered by technology", as I teach in allied health profession (radiologic science) that utilizes technology extensively, but cannot read entire article unless I sign up Health IT Outcomes.