The profound new realities of the modern world coupled with the re-emergence of our long held beliefs about how children learn are conspiring to create what promises to be a difficult reckoning for schools as we know them. In their new white paper, 10 Principles For Schools of Modern Learning: The Urgent Case for Reimagining Today’s Schools, Will Richardson and Bruce Dixon make a compelling case for educators and schools to immediately begin the work of reimagining education.
As budgets shrink and classroom sizes increase, it is imperative that we leverage advancements in technology to improve the productivity and efficiency of the education system. Artificial Intelligence (AI) can play an important role in improving the quality and affordability of education. As AI takes center stage in 2017, conversational education will emerge as a key application, one potentially more impactful than conversational commerce.
Design thinking begins with a focus on the “end user,” and that individual’s unmet needs, desires, and priorities. In the case of higher education, that means understanding students’ challenges and aspirations. Design thinking offers a structured process for solving problems and fostering innovation. It provides a methodology that can be adopted by administrators, teachers, and students to tackle institutional challenges, rethink course and curricular design, and foster collaboration and creative thinking.
Now more than ever, blended learning is poised to be a critical lever for schools to make new levels of personalization not just feasible but scalable, and educators can learn more by connecting to BLU (Blended Learning Universe), a Q&A platform where educators can connect to personalized learning.
There is an indisputable need for evidence-based instructional designs that create the optimal conditions for learners with different knowledge, skills and motivations to succeed in MOOCs. Harvard University partnered with TutorGen to explore the feasibility of adaptive learning and assessment technology implications of adaptive functionality to course (re)design in HarvardX.
Education systems around the world use big data such as standardized tests, school inspections and surveys to measure learning outcomes. However, Pasi Sahlberg argues that in order to understand how well schools are doing, we also need to collect “small data” using teachers’ and students’ “observations, assessments and reflections” of the teaching and learning processes in classrooms.
With personalization a growing initiative in schools, the library may not be the first thing educators think of as a resource. However, library experts discuss six specific ways libraries can best leverage personalized learning for every student through assessing, reading and making.
Educational Innovation Weekly Reviewis curated by Tecnológico de Monterrey's Observatory of Educational Innovation. With the highlights of the week on innovation, technology and education. If you require more information about a specific note, please email us: firstname.lastname@example.org. TECNOLÓGICO DE MONTERREY, 2017.
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Tecnológico de Monterrey's Observatory of Educational Innovation: We identify and analyze the educational innovation trends that are shaping the future of learning and education.
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