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E-learning methodologies A guide for designing and developing e-learning courses
| January 10, 2017
KickUp is an analytics platform that helps K-12 schools, districts and service agencies provide tailored support to teachers and capture the impact of their professional development investments over time.
Article | March 11, 2020
Artificial intelligence (A.I) technologies such as computer vision and machine learning are providing new ways to revolutionize learning and skills training at universities. From doctorate degrees in machine learning (ML) to bots that aid the work of teachers, there’s accelerating interest at the college level in A.I. and ML. Research firm TechNavio projects that the A.I. market in education will grow by a compound annual growth rate (CAGR) of close to 48 percent from 2018 to 2022 (the study also noted the role of chatbots in enhancing learning—hopefully that technology pans out better for education than it did for most of the business world).
Even with most back-to-school policy in Michigan still up in the air, one thing is already clear about the fall: Schools will continue the extraordinary online learning experiment that began when classrooms closed this spring.
Gov. Gretchen Whitmer hasn’t announced whether classrooms will be allowed to reopen, but districts across the state are already planning to keep classrooms closed to prevent the spread of the coronavirus. The widespread shift to virtual instruction could accelerate the state’s long-running push to offer more education online, a move with enormous but uncertain implications for students.
Artificial intelligence (AI) is a major influence on the state of education today, and the implications are huge. AI has the potential to transform how our education system operates, heighten the competitiveness of institutions, and empower teachers and learners of all abilities. The opportunities for AI to support education are so broad that recently Microsoft commissioned research on this topic from IDC to understand where the company can help. The findings illustrate the strategic nature of AI in education and highlight the need for technologies and skills to make the promise of AI a reality.
If you’re concerned that STEM is taking up too much classroom time, consider this: STEM permeates the curriculum in ways subjects taught in isolation can’t. STEM also teaches the skills students need for success beyond their formal education. Teachers know that they have to take advantage of every minute of instructional time they can get with students. STEM programs, with their integrated lessons, seem to usurp a considerable amount of instructional time. That can lead to arguments about pulling kids away from traditional subjects like science and math.
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