The concept of 鈥渄igital nativism鈥 has an intuitive appeal that鈥檚 hard to deny. Unlike previous generations, today鈥檚 young people have lived their entire lives in a world shaped by the internet and digital technologies, and because of this inescapable immersion, they鈥檙e naturally great at using all forms of technology. Or so the theory goes. But in recent years, educators and researchers have called into question whether generation is really the most relevant indicator of technological literacy.
UM-Dearborn instructional designer Autumm Caines says one obvious problem with this idea is technology is hardly a monolith. 鈥淛ust because a young person is skilled at using social media doesn鈥檛 mean they intuitively know how to use an academic research database or a learning management system like Canvas,鈥 she says. Further, it ignores well established research on and more recent data on 鈥渄igital redlining.鈥 The latter refers to the systematic underdevelopment of essential technological infrastructure, most notably broadband internet, in lower income communities. (Caines has helped author an excellent , by the way.) 鈥淪o you can鈥檛 assume that just because someone was born after 2000 they鈥檝e had a lot of exposure to technology,鈥 Caines says.
Within Census Tract 5735, which includes part of Dearborn, 18.6% of homes do not have a computer at home and 39.3% of people under 18 live in poverty. Take a deep dive into the digital divide in Southeast Michigan with this from U-M鈥檚 Poverty Solutions.
Nonetheless, this 鈥渕yth of the digital native鈥 has been hard to shake, and its persistence is consequential. Jessica Riviere, who鈥檚 also an instructional designer, says assuming students are fluent with all forms of technology can have various impacts on their learning experiences. She says it often goes unnoticed just how much time students invest in learning new digital tools required for assignments, which leaves less time for focusing on course content. In addition, there鈥檚 often unevenness in who is spending time conquering these technological learning curves, with students who grew up on the wrong side of the digital divide playing the most catch-up.
So if age isn鈥檛 the biggest factor in technological fluency, what is? 鈥淏ig surprise 鈥 it鈥檚 basically exposure,鈥 says Caines. 鈥淚f you have lots of opportunities to practice particular technologies, you will build fluencies in those areas. So breaking down this myth of the digital native basically comes down to implementing this idea of 鈥榩ractice鈥 in ways that serve our students.鈥
For example, if faculty are going to be using a specific software tool in a course, Caines says it鈥檚 worth spending time upfront, as a group, learning that new tool. This helps students get the hang of software before they actually have to use it for assignments and allows students who have more experience to help those with less. The result is that everyone starts on a more even footing, regardless of their fluencies coming in. 鈥淭hink about how empowering it is if a professor takes the time to teach everyone the new tool, versus having to raise your hand and be the only one who says, 鈥楬ey, I don鈥檛 actually know what you鈥檙e talking about,鈥欌 Caines says.
In fact, Caines and Riviere say some faculty, staff and administrators working in higher education are starting to view digital fluency more like a core student competency. Caines says this can be incorporated into a student鈥檚 experience in any number of ways. One of her favorite ideas is a first-year seminar, where particular assignments would give students up-front experiences with 鈥渄igital survival skills鈥 like email, learning management systems and academic databases. After that, she says individual departments can map out curricular or extracurricular activities that help students build-up advanced fluencies in the technologies most critical to their disciplines.
鈥淭he solutions don鈥檛 necessarily have to be curricular,鈥 Caines says. 鈥淎t a university, we have so many opportunities for students to learn. So it could happen within a student job, or a student organization, or as part of a class assignment.鈥 The most important thing, Riviere says, is finally getting past the assumption that 鈥渢hey鈥檙e kids, they鈥檒l figure it out.鈥 Because when it comes to learning new technologies, the kids might be just like the rest of us.
