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When teachers guide students to look beyond narrow metrics of success in math, more students will see their potential for learning.
If you’re a math educator, have you ever heard a friend, student, or parent say, “I’m not good at math”? Alternatively, have you heard someone tell you, “I’m not good at reading”? Probably not. Few people announce that they struggle with reading, but many are quick to say that they struggle with math.
Perhaps this perception exists because being “good at math” is defined by narrow and antiquated criteria. This definition might include traits such as speed, accuracy, and test performance. Can a person not necessarily have these traits and still be considered good at math?
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Mentors.net - a Professional Development Resource
Mentors.net was founded in 1995 as a professional development resource for school administrators leading new teacher induction programs. It soon evolved into a destination where both new and student teachers could reflect on their teaching experiences. Now, nearly thirty years later, Mentors.net has taken on a new direction—serving as a platform for beginning teachers, preservice educators, and
other professionals to share their insights and experiences from the early years of teaching, with a focus on integrating artificial intelligence. We invite you to contribute by sharing your experiences in the form of a journal article, story, reflection, or timely tips, especially on how you incorporate AI into your teaching
practice. Submissions may range from a 500-word personal reflection to a 2,000-word article with formal citations.