Professor & Canada Research Chair in Innovative Learning and Technology at Royal Roads University

Recommended books of 2017

Posted on December 10th, by George Veletsianos in sharing. No Comments

Though there’s still a few weeks to go in 2017, I thought it’s the right time to highlight a few books I read this year that I found powerful, incisive, and significant in one way or another.  This is not a definitive list, but as I’m increasingly finding the bulk of the literature examining instructional design, educational technology, and learning sciences to be insular, I am drawn to other places for inspiration, compassion, and action.

  • Lower Ed: The Troubling Rise of For-Profit Colleges in the New Economy, by Tressie McMillan Cottom
  • Paying the Price: College Costs, Financial Aid, and the Betrayal of the American Dream, by Sara Goldrick-Rab
  • Kill All Normies: Online Culture Wars from 4Chan and Tumblr to Trump and the Alt-Right, by Angela Nagle
  • Living a Feminist Life, by Sara Ahmed
  • Hunger: A Memoir of (My) Body, by Roxane Gay

What have you read this year that tops your list?

Institutional Use of Twitter – national analyses

Posted on November 5th, by George Veletsianos in my research, NPS, open, scholarship. No Comments

We recently wrote two papers that examined institutional uses of Twitter in Canada and the United States. As part of that work, we identified similar analyses taking place in other countries. These are listed below:

AustraliaPalmer, S. (2013). Characterisation of the use of Twitter by Australian Universities. Journal of Higher Education Policy and Management, 35, 333–344.
CanadaVeletsianos, G., Kimmons, R., Shaw, A., Pasquini, L. & Woodward, Ss. (2017). Selective Openness, Branding, Broadcasting, and Promoting: Twitter Use in Canada’s Public Universities. Educational Media International, 54(1), 1-19.
TurkeyYolcu, O. (2013). Twitter usage of universities in Turkey. Turkish Online Journal of Educational Technology, 12, 360–371.
UKJordan, K. (2017). Examining the UK higher education sector through the network of institutional accounts on Twitter. First Monday, 22(5). doi:
USAKimmons, R., Veletsianos, G., & Woodward, S. (2016). Institutional Uses of Twitter in Higher Education. Innovative Higher Education, 42(2), 97-111.

Lola Olufemi and student/faculty social media harassment

Posted on October 26th, by George Veletsianos in learner experience, my research, networked scholars, NPS, open, scholarship. 2 comments

Below is a short interview with Lola Olufemi. The description from the BBC reads “Lola Olufemi is 21 years old and Cambridge University Students’ Union Women’s Officer. She found herself on the front page of a national newspaper, the face of a campaign to “decolonise” the English curriculum at Cambridge University. She discusses with Jenni Murray how she feels she’s been scapegoated by the media and her fears for the impact this could have on other young, black women wanting to speak out.”

I was watching this unfold yesterday, and witnessed the racist and misogynistic tweets fly by. One of which came from a professor at a well-known unversity, and as I responded at the time, what sort of academic responds in such a vile way to a person, let alone a student. As was shared on Twitter the institution has policies processes to deal with the harassing faculty member, but the questions that have been preoccupying my thinking over the last few months is the following: In what ways should our universities respond to the harassment that their students and faculty receive online, and on social media in particular? What are the institutional and individual responsibilities when we encourage students and faculty to be present on social media?

Imagine a future in which technologies teach humans

Posted on October 17th, by George Veletsianos in emerging technologies, my research, online learning, papers, scholarship. 1 Comment

Pause for a few minutes and imagine a future in which technologies teach humans. Call them robots, bots, chatbots, algorithms, teaching machines, tutoring software, agents, or something else. Regardless, consider them technologies that teach.


Vector created by Freepik

How far into the future is that time?

What do these technologies look like? Are they anthropomorphous? Are they human-like? In what ways are they human-like? Do they have voice capabilities, and if so, do they understand natural language? Are they men or women?  Do they have a representation in the way that one would imagine a teacher – such as a pedagogical agent – or do they function behind the scenes in ways that seem rather innocuous – such as the Mechanical MOOC?

Do these technologies teach humans of all ages? Do they teach independently, support human teachers, or do human teachers assist them? Are they featured in articles in the New York Times, The Guardian, and The Economist as innovations in education? Or, are they as common as desks and chairs, and therefore of less interest to the likes of the New York Times? Are they common in all learning contexts? Who benefits from technologies that teach? Is being taught by these technologies better or worse than being taught be a human teacher? In what ways is it better or worse? Are they integrated in affluent universities and k-12 schools? Or, are they solely used in educational institutions serving students of low socioeconomic status? Who has access to the human teachers and who gets the machines? Are they mostly used in public or private schools?

How do learners feel about them? Do they like them? Do they trust them? Ho do learners think that these technologies feel about them? Do they feel cared for and respected? How do learners interact with them? How do human teachers feel about them? Would parents want their children to be taught be these technologies? Which parents have a choice and which parents don’t? How do politicians feel about them? How do educational technology and data mining companies view them?

Do teaching technologies treat everyone the same based on some predetermined algorithm? Or, are their actions and responses based on machine learning algorithms that are so complex that even the designers of these technologies cannot predict their behaviour with exact precision? Do they subscribe to pre-determined pedagogical models? Or, do they “learn” what works over time for certain people, in certain settings, for certain content areas, for certain times of the day? Do they work independently in their own classroom? Or, do colonies of robo-teachers gather, share, and analyze the minutiae of student life, with each robo-teacher carefully orchestrating his or her next evidence-based pedagogical move supported by Petabytes of data?

Final question for this complicated future, I promise: What aspects of this future are necessary and desirable, and why?