In a recent blog post in Inside Higher Ed, Joshua Kim explored the value of telecommuting, rightly suggesting that
the proven success of online education means that one need not be physically present to do a job well. “What we’ve
learned from online education,” he wrote, “is that with a combination of thought, investment and a willingness to
make data-driven continuous improvements, distance is not a barrier to quality.” And he closed by asking, “Should
the champions of online learning also be advocating for telecommuting?”
It is absolutely the case that teaching remotely and doing it well is possible, particularly if professors accept that
teaching online requires the mastery of new skills, an awareness of online pedagogies and best practices, a
commitment to valuing those in digital spaces as much as we value those physically in front of us, and, in some
cases, more time. And Kim is right to imagine that using the “methods and tools” of online education can help us
improve productivity in workplaces that accommodate telecommuters. Certainly, tools like Slack and the Google
suite have enabled synchronous collaboration among remotely situated parties.
Le projet Comprendre le concept de force en sciences est né de l’initiative des ministères de l’Éducation de l’Ontario et du Québec dans le cadre d’une entente de collaboration signée par les deux Premiers Ministres de ces provinces concernant le secteur de l’éducation ainsi que d’autres secteurs d’activité.
C’est une étude comparative, de nature collaborative et de type exploratoire, qui s’est déroulée de mai 2007 à mai 2008. Elle pourrait être suivie d’une étude plus approfondie et de plus d’envergure selon l’intérêt des résultats présentés ci-dessous de même que la disponibilité des ressources disponibles.
Le projet Comprendre le concept de force en sciences est né de l’initiative des ministères de l’Éducation de l’Ontario et du Québec dans le cadre d’une entente de collaboration signée par les deux Premiers Ministres de ces provinces concernant le
secteur de l’éducation ainsi que d’autres secteurs d’activité. C’est une étude comparative, de nature collaborative et de type exploratoire, qui s’est déroulée de mai 2007 à mai 2008. Elle pourrait être suivie d’une étude plus approfondie et de plus d’envergure selon l’intérêt des résultats présentés ci-dessous de même que la disponibilité des ressources disponibles.
The growth of competency-based education in an online environment requires the development and measurement of
quality competency-based courses. While quality measures for online courses have been developed and standardized, they do not directly align with emerging best practices and principles in the design of quality competency-based online courses. The purpose of this paper is to provide background and research for a proposed rubric to measure quality in competency-based online courses.
It’s easy to think of the Millennial generation, those born roughly between 1982 and 2002, as tech-savvy digital natives ��� and in many ways they are. Immersed in consumer technology since birth, today’s youth has mastered the art of the swipe, the
selfie and social media. So it may come as a surprise that Millennials often lack essential digital skills needed to succeed in the workplace — be it a conventional office setting, an auto mechanic’s shop, or in a tractor on a farm.
We have heard a lot of talk about MOOCs, or massive online open courses, over the last couple of years. On the plus side, MOOCs often draw enormous enrollments and are easy to sign up for and use; all you need, it seems, is an Internet connection and an interest to learn.
On the down side, they have significant attrition rates – about 90 percent of those enrolled never complete a course – and, according to their most alarmist critics, these courses may even threaten the jobs of college professors nationwide.
When this semester started, I spent the first two weeks tracking down students — via email and other methods — so that I could invite them to use the digital tools I’ve assigned for my online survey course on U.S. history. I could have just sent emails to their university accounts but, in my experience, most students hardly ever check their campus email. Getting the address that they do check was the first step in trying to bring my course to where students live their already-busy digital lives.
Introducing education into their digital lives sometimes requires teaching students how to use new web tools. For example, I’ve found a messaging app called Slack to be much more effective than any existing learningmanagement system discussion board. A key reason why: It has a cell phone app that notifies users of messages at the very top of their screens. I certainly don’t expect students to respond to class messages instantly, but those notifications serve as a constant reminder: You are part of an online class, and that class requires your eventual participation.
This qualitative research study investigates a model of delivering assistive technology training to adult students with a variety of disabilities who are enrolled in academic upgrading classes at a Canadian college. The purpose was to examine whether an academic subject context for assistive technology training delivered by Academic Strategists impacted students’ engagement in
classes, independence, completion of learning outcomes, and adoption of assistive technology. The model of assistive technology training used in this study utilized subject area Academic Strategists to deliver assistive technology training in the context of their regularly scheduled academic strategies sessions.
There are two major forces driving education today. The first is the economic reality that forces schools to make the most effective use of dollars to improve student outcomes. The second is the exponential growth in digital tools — and subsequently digital content — that provides the foundation to transform and improve how instructors teach and how students learn.
Let’s address the economic driver fi rst. For far too long the education sector has lagged behind the private sector in adopting efficiencies and capabilities derived from technology. Virtually every other sector in the economy has been computerized, modularized and transformed over the past 30 years. Although there have been leaders for change, as witnessed by the efforts we applaud in this Yearbook, change has been difficult and delayed. The recent recession has only forced this issue to the forefront.
The second driver is technological. Digital content, more sophisticated assessment tools and myriad personal and mobile computing devices are emerging and taking center stage — all aimed at improving student achievement and preparing students to thrive in the careers of a digital economy. These emerging technologies, led by a cadre of educational technologists, are leading us down the right path. This Yearbook aims to help the education community continue on the right path. The fi rst part of the Yearbook takes a look at IT spend, funding opportunities and top trends of the 2010-2011 school year to shed some light on what technologies are top of mind and how to fund them. The second part highlights 50 education innovators that have led the way and provided best-practice models to imitate. This look at what was done, who is doing it and where we are going is intended to provide inspiration and guidance to education leaders on their own innovative quests in education.
Most universities still offer Learning Management Systems (LMS) as the ‘one size fits all’ technology solution for all teachers across all disciplines. Using LMS across diverse campuses has resulted in efficiencies-of-scale for administrators, however LMS integration into teacher practices is minimal (e.g., Conole & Fill, 2005) and teachers’ creative space can be limited for discipline-based innovation. Together, these realities indicate that there are significant barriers to the effective use of LMSs, especially for teaching and learning purposes.
To overcome such barriers, the complex and less visible internal space of teacher beliefs must be understood in relation to teachers’ pedagogical contexts and the affordances they can identify. This paper reports on the findings of six qualitative case studies of teachers at different stages of LMS integration and the extent to which teachers reconciled their beliefs. The results highlight the need for technology environments that better accommodate teacher diversity.
Keywords: teacher beliefs, teacher diversity, affordances, LMS, university teacher education
Most organizations are awash in data – too much of it. And as many have learned, the ability to make effective, fact-based decisions is not dependent on the amount of data you have. Success is based on your ability to discover more meaningful and predictive insights from all the data you capture.
That’s where predictive analytics and data mining come into play. Data mining looks for hidden patterns in your data that can be used to predict future behavior. Businesses, scientists and governments have used this approach for years to transform data into proactive insights. The same approach applies to business issues across virtually any industry.
Harvard recently rescinded admission offers for some incoming freshmen who participated in a private Facebook group sharing offensive memes. The incident has sparked a lot of discussion: Was Harvard’s decision justified? What about the First Amendment? Do young people know the dangers of social media?
I’m a business school lecturer, career services counselor and former recruiter, and I’ve seen how social media becomes part of a person’s brand—a brand that can help you or hurt you.
College admissions staff, future employers and even potential dates are more and more likely to check your profile and make decisions or judgments about you.
Here’s what you should know so you don’t end up like those Harvard prospects.
ABSTRACT
We describe a cheating strategy enabled by the features of massive open online courses (MOOCs) and detectable by virtue of the sophisticated data systems that MOOCs provide. The strategy, Copying Answers using Multiple Existences Online (CAMEO), involves a user who gathers solutions to assessment questions using a “harvester” account and then submits correct
answers using a separate “master” account. We use “clickstream” learner data to detect CAMEO use among 1.9 million course participants in 115 MOOCs from two universities. Using conservative thresholds, we estimate CAMEO prevalence at 1,237 certificates, accounting for 1.3% of the certificates in the 69 MOOCs with CAMEO users. Among earners of 20 or more
certificates, 25% have used the CAMEO strategy. CAMEO users are more likely to be young, male, and international than other MOOC certificate earners. We identify preventive strategies that can decrease CAMEO rates and show evidence of their effectiveness in science courses.
Keywords: Massive Open Online Courses (MOOCs), Cheating Detection, Educational
Certification, Educational Data Mining (EDM), Security.
Data on how well the information and communication technology (ICT) needs of 1354 Canadian college and university students with disabilities are met on and off campus were collected using the newly developed POSITIVES Scale (Postsecondary Information Technology Initiative Scale). The measure contains 26 items which use a 6- point Likert scale (1 = strongly disagree, 6 = strongly agree) to indicate level of agreement with each of the positively worded items. It has three factor analysis-derived subscales (ICTs at School Meet Student’s Needs, ICTs at Home Meet Student’s Needs, E-learning ICTs Meet Student’s Needs) and a total score. Reliability and validity are excellent for both English and French versions. Versions that could be completed online, on paper (printable PDF), and within a Microsoft Word document were found to be equivalent.
Educators tasked with finding instructional materials for their districts and classrooms face a dizzying array of options these days. Classroom resources are available in print, digital textbook formats, and online. They can be paid for, subscribed to, or downloaded for free. They’re available as comprehensive, yearlong curricula; individual thematic units; and single activities and games.
A revolution is occurring in our nation’s schools, and it’s all about the role of technology and the shift from paper and textbooks to digital content. Smartphones,laptops, tablets, e-readers, social media and interactive whiteboards are infiltrating classrooms and changing the way learning happens. Technology makes school fun for kids and inspires collaboration, creativity and selfdirected learning. Apple’s iPad textbook announcement in early 2012 will undoubtedly encourage a new level of innovation, with follow-on offerings from other high-tech companies and publishers.
In many school districts, this revolution is more of an evolution — but digital teaching is where our future is headed; how you plan to get there could make all the difference in the results for your faculty and students. The right strategy incorporates not only adopting the optimal content providers and hardware platforms for your student population, but devising an A to Z approach for the underlying technology infrastructure.
This paper will discuss how this digital shift at K-12 schools and community colleges will impact IT decisions, particularly as it relates to wireless networks. Wireless technology is quickly evolving to better meet the needs of schools from a cost, functionality and management perspective.
Importantly, the right wireless strategy helps schools successfully deliver on the promise of digital education.
A 2015 survey of American college students examined classroom learning distractions caused by the use of digital devices for non-class pur-poses. The purpose of the study was to learn more about Millennial Generation students’ behaviors and perceptions regarding their class-room uses of digital devices for non-class pur-poses. The survey included 675 respondents in 26 states. Respondents spent an average of 20.9% of class time using a digital device for non-class purposes. The average respondent used a digital device 11.43 times for non-class purposes during a typical school day in 2015 compared to 10.93 times in 2013. A significant feature of the study was its measurement of frequency and duration of students’ classroom digital distractions as well as respondents’ motivations for engaging in the distracting behavior.
Technology’s potential to transform education has become a mantra of the 21st century. Much has been said about the tools and solutions that can provide opportunities for enhanced student learning. Frequent discussions have focused on the need for schools to have a robust infrastructure that supports continually evolving educational models. However, not as much has been written about the teacher’s role in this dynamic environment and the fundamentally new and different functions teachers
may have.
The days of teachers covering a defined number of pages in a textbook and assigning work at the end of a chapter are quickly disappearing. Instructors are leveraging technologies that give students access to interactive content from myriad sources. In this digital classroom, the teacher is more than a static oracle of information who delivers lectures. Instead, he or she is an active participant and facilitator in each student’s path of discovery and exploration.
Context: The past decade has witnessed a sustained emphasis on information and communication technologies (ICT) in education, coupled with the rise of online social media and increasing pervasiveness of personal media devices.
Research Question: Our research question asked: How has this changing context affected the educational experiences of American high school students?
Setting: The exploratory, qualitative study took place at two high schools in a large metropolitan district in the southeastern United States. One high school was in a downtown area, and the other was in a suburban setting.
Research Design: The researchers used various qualitative research approaches, including interviews, on-site observations, and document analysis. Our interview participants included classroom teachers and support staff as well as students drawn from across each school’s grade levels. We also shadowed 10 of the student interview participants through their entire school days.
When building an online program, there are certain big questions that need to be answered. Among them are: What kind of program you want it to be – high tech or low tech? Professor intensive or adjunct driven? Blended learning or fully online? What kind of technology will be used to deliver course content? What about opportunities for collaboration?