This is the scenario: a guy, say age 21, becomes serious about gaining muscle. He’s 5′ 10″, 7″ wrists, 9″ ankles, average genetics for muscle size-and-proportioned. He’s played sports, but never done more than an occasional resistance workout. Now, he begins a good training-eating-and-resting program. With his genetics, he has the potential for naturally gaining 45 pounds of lean mass if he stays consistent with progressive training/proper eating for a continuous 3 to 4 years.
But, about three months after beginning his training, he starts taking steroids. He does three steroid cycles in the following 18 months, and includes proper post-cycle therapy. That entire time, he’s continuing to consistently train and eat properly. Before the end of two years, he’s gained 45 pounds of lean mass (which with steroids, by the way, is not necessarily typical but neither improbable). At that point, he permanently quits using steroids, but he does continue properly training and eating for another two years. At the end of four years, he carries the same 45 pounds of lean mass.
On top of the robust and flexible nature of the assessments themselves, Lightning Grader allows educators to really dive into their students scores and results. Lightning Grader stores and tracks all of the assessments that a teacher uses through the course of the class. The platform allows educators to analyze student achievement on an individual, class, or assessment level. This is an invaluable tool as it allows educators a snap shot of student progress and mastery, allowing them to know which subjects or concepts they need to spend more time on.