Here is a university road map on how the strengths of conventional, face-to-face teaching and online T&L can be optimally used to address today’s lecture room challenges.

I am not an instructional designer, but I have been teaching online internationally for over 10 years (2)
In the last 2+ years, I taught hybrid & online undergraduate courses at the University of Maryland Global Campus, among the largest top-20 online colleges in the USA.

UMGC has received numerous awards for its innovations: https://t.co/jd7JkHIK8Q and https://t.co/IPKizZwclA (3)
15+ years ago UMGC was one of the founding members of QM “Quality Matters” a non-profit with 1,500+ members in 26 countries.

QM offers membership of a community of practice, numerous free resources, online training, and review/accreditation services https://t.co/ZoFVsgcBC7 (4)
It is obvious that universities will also be affected by the 4th industrial revolution, and things can not stay the same as they were after the invention of the printing press.

Until recently, a lecture room looked the same as 900 years ago incl. flirting and sleeping (5)
We can distinguish Luddite resistance to technology and stubborn clinging to “chalk and talk”, from reasonable questions on how to using online learning in 30-60% of all university courses, which is the likely post-COVID19 scenario. (6)
If active learning is already practiced, and reliance on lecturing is no longer 100%, it is easier to introduce effective, high-quality online teaching.

Lecturers who already use problem- or project-based teaching are at an advantage (7)
Dr. Carl Wieman, Nobel prize winner Physics, did systematic research on what works and what doesn’t in science teaching because he saw that PhD students after 4 years were still unable to do physics (at Stanford!!).

In his own words: https://t.co/7EjYs9qZ2y (8)
General pedagogy must be improved: concepts of active learning, student-centred teaching & intentional course design must be practiced first.

Lecturers can revise their conventional courses in workshops led by your friendly instructional designers. https://t.co/JkZfNW2nsV (9)
Secondly, specific online pedagogy must be introduced or strengthened. The 6 success factors for the successful delivery of online teaching must be taken into account, and challenges addressed (10)
Good instructional design is a first and fundamental step: implementing a few robust principles go a long way to make all online courses effective & accessible and engaging for all students.

Adding classroom-replicating technology usually makes matters worse (11)
In practice, the main challenge is to train ALL lecturers.

Your handful of friendly & helpful instructional designers at our universities, who were sufficient in the past, now can not possibly train faculty at scale within a short period of time (12)
We suggest you check out membership of QM “Quality Matters” in order to use all low-cost, online training and professional development activities.

Here is a video overview of the QM standard. https://t.co/1i2s0loEuC, and here a detailed guide https://t.co/SQkVHwjBgp (13)
The debate should now be redirected from dealing exclusively with WHAT to teach, toward HOW to teach effectively, realizing online teaching is now the main course, and will remain on the menu (14)
Are you interested in learning more about how QM can train your university’s lecturers? DM me so I can help you further 🙂

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https://t.co/hT5XPkTepy #english #wiki #wikidiff

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New from me:

I’m launching my Forecasting For SEO course next month.

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The course: https://t.co/bovuIns9OZ

Following along 👇

Why forecasting?

Last year I launched
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I also noticed an appetite for learning more about forecasting and reached out on Twitter to gauge interest:

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I’ve also been inspired by what others are doing: @tom_hirst, @dvassallo and @azarchick 👏👏

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In the last 2 years I’ve only written 3 blog posts on my site.

- Probabilistic thinking in SEO
- Rethinking technical SEO audits
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I only write when I feel like I’ve got something to say.

With forecasting, I’ve got something to say. 💭

There are mixed feelings about forecasting in the SEO industry.

Uncertainty is everywhere. Algorithm updates impacting rankings, economic challenges impacting demand.

It’s difficult. 😩

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