Is Goblins free for teachers?

Yes. Goblins offers a generous free tier that includes 1 live feedback assignment per week, insights on student mastery and replays, and the ability to upload your own content. The Max plan adds unlimited assignments, superadaptive mode, grade exports, standards growth reports, and SSO/LMS integration, with per-student pricing for schools and districts.

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Three simple steps: (1) Share an assignment from thousands of standards-aligned topics using a share code. (2) Students speak and draw their thinking naturally, and Goblins responds with Socratic questioning that sounds just like their teacher. (3) Teachers get real-time formative insights showing what students struggle with and suggestions to inform instruction.

Does Goblins prevent cheating?

Yes. Goblins uses a purpose-trained AI model that evaluates cheating signals in real time. It can detect when students are copying answers, using external tools inappropriately, or not genuinely working through problems. Copy-pasting answers is also blocked.

Can I use my own voice with Goblins?

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What math levels does Goblins cover?

Goblins covers math from Grade 5 through AP Calculus, including thousands of standards-aligned topics. Teachers can also upload their own content for custom assignments at any level.

Is Goblins FERPA compliant?

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Does Goblins support English Language Learners?

Yes. Goblins supports 30+ languages so teachers don't have to translate every worksheet. It is especially helpful for ELL students who need accessible math instruction in their native language.

What grade level is CB.Stats.DAT-1 taught?

This standard is part of the College Board (AP) curriculum in Common Core State Standards.

CB.Stats.DAT-1: Bivariate data analysis and linear regression.

Bivariate data analysis and linear regression.

CB.Stats.DAT-1.ADescribe the characteristics of a scatter plot.CB.Stats.DAT-1.BDetermine the correlation for a linear relationship.CB.Stats.DAT-1.CInterpret the correlation for a linear relationship.CB.Stats.DAT-1.DCalculate a predicted response value using a linear regression model.CB.Stats.DAT-1.ERepresent differences between measured and predicted responses using residual plots.CB.Stats.DAT-1.FDescribe the form of association of bivariate data using residual plots.CB.Stats.DAT-1.GEstimate parameters for the least-squares regression line model.CB.Stats.DAT-1.HInterpret coefficients for the least-squares regression line model.CB.Stats.DAT-1.IIdentify influential points in regression.CB.Stats.DAT-1.JCalculate a predicted response using a least-squares regression line for a transformed data set.

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