Much has been written about the challenges of teaching an online course. While not discounting the unique (and sometimes frustrating) aspects of the online learning environment, it could be said that, despite the numerous differences, many of the same course management strategies that are essential to success in a traditional classroom also apply in the online classroom. These strategies include the importance of a strong syllabus, clear directions, well-organized materials, and timely feedback.
Of course, the big challenge for online instructors is that the very nature of online education amplifies the importance of properly addressing these management issues, while throwing a few more additional obstacles into the mix. Choosing the right communication tools and protocols, addressing technology problems, managing student expectations, and building community are just some of issues that can stretch online instructors to the breaking point.
11 Strategies for Managing Your Online Courses was created to help online instructors
tackle many of the course management issues that can erode the efficiency and effectiveness
of an online course. It features 11 articles pulled from the pages of Online Classroom,
including:
• Syllabus Template Development for Online Course Success
• The Online Instructor’s Challenge: Helping ‘Newbies’
• Virtual Sections: A Creative Strategy for Managing Large Online Classes
• Internal or External Email for Online Courses?
• Trial by Fire: Online Teaching Tips That Work
• The Challenge of Teaching Across Generations
It’s important to keep in mind that you’re not the only one who may be a little anxious
about going online. Students often have anxiety when taking their first online course. It’s
up to you to help them feel more confident and secure, all the while keeping your
workload at a manageable level. The course management tips in this report will help.
Rob Kelly
Editor
Online Classroom
Project-Based Learning
This challenging time provides an opportunity for students to work on real-world problems
they see every day.
Amid a pandemic, educators are trying to figure out how to make sure that kids are socially in tune, emotionally intact, and cognitively engaged. Moreover, we’re all attempting to figure out how to do this across a plethora of mediums, including computer screens, video cameras streaming into classrooms, and engaging students face-to-face albeit across shields, masks, and plexiglass.
Still, there is an opportunity here to give students a chance to discuss the challenges of their own environment, the barrage of news they face daily, and the core content they need for long-term success. One of the best options to meet these demands is for students to engage in rigorous problem- or project-based learning (PBL)—an approach that ensures students develop high rigor and experience high relevance by solving problems or
completing tasks in a remote or face-to-face environment.
As so many of us try to juggle teaching virtually or in a hybrid format this year, I’ve decided to focus my energy on technology that will help me no matter the setting. These three tech tools have had a huge impact on me, my staff, and my students.
Where I teach — a small, primarily residential liberal-arts college — there was a time when professors would have avoided online teaching like the plague. Five years ago I wasn’t teaching any online courses. This semester, my entire course load is online. And so is next semester’s.
What’s interesting is how many of us who work at "traditional" colleges — where dorms and dining halls occupy equal pride of place with classrooms and laboratories — are now trying to figure out how to create an online version of a face-to-face course we’ve been teaching for years.
Consuming information online is as simple as a click, scroll, or swipe these days. All searches are not created equal — and rarely do we think about fact checking what we find on the internet.
“…The internet is actually changing the way we read, the way we reason, and even the way we think, and all for the worse,” says Tom Nichols in his recently published book, The Death of Expertise.
In higher education, I think it is imperative that we teach our learners and peers about what it means to participate and interact in digital spaces and places. How can our institutions help students, staff, and faculty “be” online and consider how both information and digital environments impact knowledge sharing and learning.
The relationship between academia and technology is notoriously complicated. Faculty often view IT staffers as gadget-mongers eager to roll out new tech regardless of its value to teaching and learning, while technology specialists are certain they could make life easier for those on the other side — if they'd only listen!
Today's students increasingly expect ubiquitous lecture capture so they can review lectures to improve their understanding
of the material or catch up on a class they missed. "Lecture capture in general is becoming very quickly an
expectation of students," said Chris Edwards, assistant vice president at the University of Cincinnati in Ohio.
We are a group of undergraduate and graduate students from York University connected with each other through sociology professor Cary Wu’s research methods courses. Led by Dr. Wu, we recently came together as a virtual group to discuss what makes in-person classes unique and different from online-learning. Through this productive discussion, we were able to determine what it is about in-person classes that we long for. Here, we share with you seven main themes that emerged in our conversations.
I was taking advantage of some down time, cleaning out some of my old files on my computer, when I ran across a great article I saved that covered student personality types. When I originally read this article, I only had several years of experience working in the distancelearning realm. Now, years later, I have seen all these student types at one time or another, and
throughout the years, noticed several others worthy of mention.
Before moving into some observations, I do need to provide some context for the environment in which I work. Our population consists of postgraduate students working in middle management positions. The classes are small, 18 students to one instructor, and progress through the year as a group. The yearlong curriculum is not self-paced. The college delivers
the content in a mix between asynchronous and synchronous modalities. Blackboard is the asynchronous platform that delivers the lesson material using a combination of computerbased instruction, online exams, and discussion board forums. We use Blackboard Ultra and/or Defense Connect Services for the synchronous portions of the curriculum, which
include delivery of student briefing products. Of course, there are the standard necessities like email, telephone, and administration that accompany facilitation.
By this point in the Covid-19 transition to remote instruction, you’ve probably had a few sessions on Zoom. You’ve taught a few classes, met students for office hours. No doubt more than once, you’ve seen a lot of students staring blankly at you after you pose a question. (Insert crickets-chirping sound.)
Faculty members are getting a crash course in Zoom and finding it can be supremely awkward, at least at first. One reason for our collective uneasiness: Most of us are not well acquainted with the "hidden curriculum" of Zoom — all the unwritten rules and
expectations that you’re supposed to know but none of us have been taught. Faculty members and students together are diving into a new tool with little to no experience with it, technically or culturally.
If we are serious about accessible online learning, we must talk openly about disability as if it is right here, right now – because it is.
Handheld devices are widely applied to support open and distributed learning, where students are diverse. On the other hand, customization and personalization can be applied to accommodate students’ diversities. However, paucity of research compares the effects of customization and personalization in the context of handheld devices. To this end, a customized digital learning system (CDLS) and personalized digital learning system (PDLS) were implemented with the handheld devices and they tailored to the needs of different cognitive style groups. Furthermore, we conducted two empirical studies to examine the effects of cognitive styles on the use of the CDLS and PDLS. More specifically, Study 1 identified the preferences of each cognitive style group while Study 2 investigated how students with different cognitive styles react to the CDLS and the PDLS. The results from these two studies showed that student with the CDLS and those with the PDLS obtained similar task scores and post-test scores, regardless of their cognitive styles. However, cognitive styles affected the efficiency of completing tasks and perceptions for customization and personalization.
Keywords: customization, personalization, handheld devices, cognitive styles
Concerns over the usefulness and validity of student ratings of instruction (SRI) have continued to grow with online processes. This paper presents seven common and persistent concerns identified and tested during the development and implementation of a revised SRI policy at a Canadian research-intensive university. These concerns include bias due to insufficient sample size, student academic performance, polarized student responses, disciplinary differences, class size, punishment of rigorous instructor standards, and timing of final exams. We analyzed SRI responses from two mandatory Likert scale questions related to the course and instructor, both of which were consistent over time and across all academic units at our institution. The results show that overall participation in online SRIs is representative of the student body, with aca-demically stronger students responding at a higher rate, and the SRIs, them-selves, providing evidence that may moderate worries about the concerns.
Do you know what the most common electronic device that college student’s possess? According to Joshua Bolkan, a
multimedia editor for Campus Technology and The Journal, “85% of college students own laptops while smartphones
come in second at 65%”. If technology is becoming a common practice among our students, what are we doing as
professors to incorporate it into our classrooms? How can students use technology to reflect on their work? How can
instructors use technology as a supplement in reading and writing courses? How can technology be used to deepen our
student’s critical thinking skills? These are questions we should be asking ourselves in a world where technology is
paving the way to learning.
As online learning has become more established, we at ExtensionEngine have noted the evolution of a framework comprising four distinct revenue models: For- Credit, Research, Pre-Matriculation and Post-Graduation. This study investigates the prevalence of these four models among 136 U.S. colleges and universities as a means to identify and define new opportunities for learning in higher education.
To determine the current prevalence of each model, we used each sample institution’s website to tally the number of online programs in each model. For comparison, we noted the occurrence of in-person programs for the Pre-Matriculation and Post-Graduation models. We analyzed this data against college type (private or public), enrollment, and endowment size.
A major force in the higher education technology and learning space has quietly begun working with a major corporate force in -- well, in almost everything else.
Candace Thille, a pioneer in learning science and open educational delivery, has taken a leave of absence from Stanford University for a position at Amazon, the massive (and getting bigger by the day) retailer.
Thille’s title, as confirmed by an Amazon spokeswoman: director of learning science and engineering. In that capacity, the spokeswoman said, Thille will work “with our Global Learning Development Team to scale and innovate workplace learning at Amazon.”
The potential impacts and implications of technology on the professional lives of instructors in higher education, and the role of leadership in integrating educational technology, present a variety of complexities and challenges. The purpose of this paper is to identify the reasons why faculty members are not fully embracing technology and what leadership exists in those institutions to help instructors adapt to technology in the teaching and learning process. The authors examine instructor’s perceptions and attitudes related to educational technology as it applies to the learning process and investigated the organization-wide view of leadership in the education institutions. The authors also developed a theoretical model for how leadership can be applied in the use of educational technology in higher education. The model contains five major blocks. In addition to the concerns of higher education faculty, this paper also considers the impact educational technologies have on instruction itself and why many faculty members view the technology as being too difficult to apply to existing technology infrastructure.
The potential impacts and implications of technology on the professional lives of instructors in higher education, and the role of leadership in integrating educational technology, present a variety of complexities and challenges. The purpose of this paper is to identify the reasons why faculty members are not fully embracing technology and what leadership exists in those institutions to help instructors adapt to technology in the teaching and learning process. The authors examine instructor’s perceptions and attitudes related to educational technology as it applies to the learning process and investigated the organization-wide view of leadership in the education institutions. The authors also developed a theoretical model for how leadership can be applied in the use of educational technology in higher education. The model contains five major blocks. In addition to the concerns of higher education faculty, this paper also considers the impact educational technologies have on instruction itself and why many faculty members view the technology as being too difficult to apply to existing technology infrastructure.
On a typical day in 2014, more than 22 million cyberattacks threatened to infiltrate Penn State. Two
attacks targeting the university’s College of Engineering managed to slip past security systems. Thanks to an alert from the FBI, the university investigated the attacks and disconnected the college’s computer network from the Internet for three days while it beefed up security.
In K-12, school districts are constantly launching digital learning initiatives that require large amounts of bandwidth and mobile devices. But many of them don’t address the IT infrastructure beforehand. And that leads to horror stories of the network
slowing to a crawl with students and teachers unable to connect their devices to the Internet due to lack of wireless coverage.
“Infrastructure is one of those things that is not sexy and is not glamorous,” says Susan M. Bearden, director of information technology at Holy Trinity Episcopal Academy in Melbourne, Fla. “I mean, who really wants to hear about switches or bandwidth or choke points in a network? But if you don’t have that infrastructure in place, then you are setting yourself up for failure.”
Unfortunately, education institutions don’t always recognize the tenuous situation they’re in until they fall prey to successful cyberattacks and show-stopping network failures. But it doesn’t have to be that way.
This Center for Digital Education (CDE) Special Report guides education IT leaders through the trends, technologies and tips that will help them build a future-ready infrastructure to carry their institutions through the challenges of life
in the digital age.
Three years ago, Schreiner University recognized a need for nursing education in south central Texas. Many registered nurses at local hospitals lacked a bachelor’s of science in nursing -- a degree that would open the door to higher salaries and greater responsibilities.
Schreiner decided to address this issue by building an online nursing program. There was just one problem: the private university didn't have the internal expertise and start-up capital to create such a program.