WELCOME TO The education REPORT
FOUR LEADING STRATEGIES TO IDENTIFY, ATTRACT, ENGAGE, AND ENROLL THE RIGHT STUDENTS
| December 24, 2014
LearnZillion is a curriculum company dedicated to taking the highest quality curriculum and making it teacher friendly and classroom ready. Founded by two educators in 2011, LearnZillion is now used by more than 1 in 3 U.S. teachers.
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).
In some instances in developing countries, assumptions prevail that all online learning is a self-study process in which content (for example, readings) serves as didactic material and that learners can learn key concepts on their own simply by watching a video or reading the text. Learners, on their own, sift through a considerable amount of content material without needing critical academic guidance. Thus, instructors assign lots of content material to learners without proper mediation or coaching. According to Bernard Bull (2013), skillful online instructors must:
Many look to AI-powered tools to address the need to scale high-quality education and with good reason. A surge in educational content from online courses, expanded access to digital devices, and the contemporary renaissance in AI seem to provide the pieces necessary to deliver personalized learning at scale. However, technology has a poor track record for solving social issues without creating unintended harm. What negative effects can we predict, and how can we refine the objectives of AI researchers to account for such unintended consequences?
Flipped classrooms have been here for a while and a considerable amount of research shows that this pedagogical method can be used for a wide range of subjects (from biology to computer science), with K12 and university students. An LMS can make a smooth transition towards the flipped classroom model and will empower students to form their own ideas and methods of language learning. It can successfully turn a language class into a personal learning experience.
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