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.

How does Goblins work?

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?

Yes. Teachers can record their voice and take a selfie to create a custom 3D avatar in about 30 seconds. Students then hear help in their own teacher's voice and see a familiar face, making the experience more personal and effective.

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.

North Carolina: Math 4 Math Standards

27 standards · 3 domains

ALGEBRA AND FUNCTIONS

NC.M4.AF.1.1 Execute algebraic procedures to compose two functions.
NC.M4.AF.1.2 Execute a procedure to determine the value of a composite function at a given value when the functions are in algebraic, graphical, or tabular representations.
NC.M4.AF.2.1 Translate trigonometric expressions using the reciprocal and Pythagorean identities.
NC.M4.AF.2.2 Implement the Law of Sines and the Law of Cosines to solve problems.
NC.M4.AF.2.3 Interpret key features (amplitude, period, phase shift, vertical shifts, midline, domain, range) of models using sine and cosine functions in terms of a context.
NC.M4.AF.3.1 Execute properties of logarithms to rewrite expressions and solve equations algebraically.
NC.M4.AF.3.2 Implement properties of logarithms to solve equations in contextual situations.
NC.M4.AF.3.3 Interpret key features of a logarithmic function using multiple representations.
NC.M4.AF.4.1 Translate between algebraic and graphical representations of piecewise functions (linear, exponential, quadratic, polynomial, square root).
NC.M4.AF.4.2 Construct piecewise functions to model a contextual situation.
NC.M4.AF.5.1 Construct regression models of linear, quadratic, exponential, logarithmic, & sinusoidal functions of bivariate data using technology to model data and solve problems.
NC.M4.AF.5.2 Compare residuals and residual plots of non-linear models to assess the goodness-of-fit of the model.

NUMBER AND QUANTITY

NC.M4.N.1.1 Execute procedures to add and subtract complex numbers.
NC.M4.N.1.2 Execute procedures to multiply complex numbers.
NC.M4.N.2.1 Execute procedures of addition, subtraction, multiplication, and scalar multiplication on matrices.
NC.M4.N.2.2 Execute procedures of addition, subtraction, and scalar multiplication on vectors

STATISTICS AND PROBABILITY

NC.M4.SP.1.1 Construct statistical questions to guide explorations of data in context.
NC.M4.SP.1.2 Design sample surveys and comparative experiments using sampling methods to collect and analyze data to answer a statistical question.
NC.M4.SP.1.3 Organize large datasets of real-world contexts (i.e. datasets that include 3 or more measures and have sample sizes >200) using technology (e.g., spreadsheets, dynamic data analysis tools) to determine: types of variables in the data set, possible outcomes for each variable, statistical questions that could be asked of the data, and types of numerical and graphical summaries could be used to make sense of the data.
NC.M4.SP.1.4 Interpret non-standard data visualizations from the media or scientific papers to make sense of real-world phenomena.
NC.M4.SP.2.1 Design a simulation to make a sampling distribution that can be used in making informal statistical inferences.
NC.M4.SP.2.2 Construct confidence intervals of population proportions in the context of the data.
NC.M4.SP.2.3 Implement a one proportion z-test to determine if an observed proportion is significantly different from a hypothesized proportion.
NC.M4.SP.3.1 Implement discrete probability distributions to model random phenomena and make decisions (e.g., expected value of playing a game, etc.).
NC.M4.SP.3.2 Implement the binomial distribution to model situations and make decisions.
NC.M4.SP.3.3 Recognize from simulations of sampling distributions of sample means and proportions that a normal distribution can be used as an approximate model in certain situations.
NC.M4.SP.3.4 Implement the normal distribution as a probability distribution to determine the likelihood of events occurring.