Two British researchers have just completed a study of undergraduate students that found "many young students are far from being the epitomic global, connected, socially-networked technologically-fluent digital native who has little patience for passive and linear forms of learning."
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While this is a utopian perspective of the future of AI, let's consider another example - an AI-enabled self-driving car runs over a woman trying to cross the road, claiming her life. Although the driver is in the car, AI was in full control. In this scenario, who is to be held responsible for the death of the woman? The manufacturers of the onboard sensory equipment; Designer of the AI system or the person behind the wheel! AI allows machines to 'learn' from data and make decisions, without being explicitly programmed.
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Instead, the study found that students use a limited range of technologies for both formal and informal learning and that there is a "very low level of use and familiarity with collaborative knowledge creation tools such as wikis, virtual worlds, personal web publishing, and other emergent social technologies."
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The study included a questionnaire survey of 160 students, followed up by in-depth interviews with 8 students and 8 staff members at both institutions. The findings show that many young students are far from being the epitomic global, connected, socially-networked technologically-fluent digital native who has little patience for passive and linear forms of learning. Students use a limited range of technologies for formal and informal learning. These are mainly established ICTs - institutional VLE, Google and Wikipedia and mobile phones. Students make limited, recreational use of social technologies such as media sharing tools and social networking. Findings point to a very low level of use and familiarity with collaborative knowledge creation tools such as wikis, virtual worlds, personal web publishing, and other emergent social technologies.
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