Ali Razeghi, a scientist from Tehran, claims to have successfully created a time machine. According to The Telegraph, Razeghi's machine is not a time traveling device in the classic sense. That it, it does NOT transport a person into the past or the future. Rather, it predicts the next five to eight years of the user's life. Razeghi claims that his machine's predictions are 98% accurate.
Razeghi told The Telegraph, "My invention easily fits into the size of a personal computer case and can predict details of the next 5-8 years of the life of its users. It will not take you into the future; it will bring the future to you."
There is no word as to when he plans to make his machine available to potential buyers or how much it would cost.
Dr. Shipley hears the school bell ring and knows that the children will be entering the classroom soon. Everything is set up, organized, and ready for the day. The room is spacious and quiet, but any minute it will be busy and inhabited by the community members that live there each day. Daily procedures are taught from day one and continue throughout the entire school year. Students know what to expect and what...
Examine any standard lesson plan template and you’ll likely to see the same categories and domains: standards, learning objectives, step-by-step plans, accommodations for various student populations, assessment, etc.
Lesson-planning is fundamental to teaching. Working from a well-thought-out plan (while it might and probably should change as you teach and gain more knowledge of your students) is a sound strategy. Some teachers use spartan plans while others utilize long, scripted out...

Do your students struggle with written or oral expression? Imagine bringing writing to life so every learning style is engaged, enriched, encouraged and expressed. What if writing is more than scratching the surface of a paper with the narrow tip of a pencil, but embellished with the broad strokes of a brush &...

C.M. Rubin’s Global Education Report
Biased algorithms are everywhere, so at a critical moment in the evolution of machine learning and AI, why aren’t we talking about the societal issues this poses? ...

“Algorithms are as biased as the humans who designed or commissioned them with a certain intention. We should therefore spark an open debate about the goals of software systems with social impact.” — Ralph Müller-Eiselt
Biased algorithms are everywhere, so at a critical moment in the evolution of machine...

“The pressures in systems in the North is to compete to ensure more and more learners are succeeding in acquiring higher order learning skills as articulated in cross-national tests like PISA, PIRLS and TIMSS.” — Brahm Fleisch
The North-South or Rich-Poor Divide is the socio-economic and political division...
