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?

Yes. Goblins is FERPA and state compliant. Student data privacy and security are a top priority.

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.

Georgia: Mathematics Of Industry and Government Math Standards

40 standards · 11 domains

MIG.ARDDM

MIG.ARDDM.2.1 Use advanced linear programming to make decisions and interpret results in real-life contexts.
MIG.ARDDM.2.2 Distinguish among continuous, integer, and binary contexts
MIG.ARDDM.2.3 Model and interpret results of a contextual problem with three or more variables using linear programming.
MIG.ARDDM.2.4 Solve problems with three or more variables using technology and principles of linear programming.
MIG.ARDDM.2.5 Examine cause and effect of contextual changes.
MIG.ARDDM.3.1 Find the optimal median location in a one-dimensional context.
MIG.ARDDM.3.2 Find the optimal median location in a rectilinear context.
MIG.ARDDM.3.3 Find the optimal location given three equally weighted, noncollinear points
MIG.ARDDM.3.4 Find the optimal location in a set covering context.
MIG.ARDDM.4.1 Relate context to a network representation.
MIG.ARDDM.4.2 Apply appropriate recursive algorithms.
MIG.ARDDM.4.3 Examine alternate decisions in response to contextual changes.

ABSTRACT REASONING & DETERMINISTIC DECISION-MAKING – LINEAR PROGRAMMING

MIG.ARDDMa.2 Solve contextual, mathematical problems involving linear programming and use the mathematics as a model to make decisions about real life phenomena.

ABSTRACT REASONING & DETERMINISTIC DECISION-MAKING – OPTIMAL LOCATIONS

MIG.ARDDMb.3 Solve contextual, mathematical problems involving optimal locations and use the mathematics as a model to make decisions about real life phenomena.

ABSTRACT REASONING & DETERMINISTIC DECISION-MAKING – OPTIMAL PATHS

MIG.ARDDMc.4 Solve contextual, mathematical problems involving optimal paths and use the mathematics as a model to make decisions about real life phenomena.

MIG.ARPDM

MIG.ARPDM.5.1 Use properties of normal distributions to make decisions about optimization and efficiency.
MIG.ARPDM.5.2 Calculate, analyze and interpret theoretical and empirical probabilities using standardized and non-standardized data.
MIG.ARPDM.5.3 Consider contextual factors and investigate issues within the decision-making process.
MIG.ARPDM.5.4 Apply techniques to quality control settings.
MIG.ARPDM.6.1 Calculate theoretical and empirical probabilities using standardized and non-standardized data.
MIG.ARPDM.6.2 Analyze and interpret the probabilities in terms of context.
MIG.ARPDM.6.3 Consider contextual factors and investigate issues within the decision-making process.
MIG.ARPDM.8.1 Use technology to simulate a real-world situation.
MIG.ARPDM.8.2 Analyze, evaluate, and interpret results of simulations.
MIG.ARPDM.8.3 Examine alternate decisions in response to contextual changes of simulations.
MIG.ARPDM.9.1 Develop and analyze fair methods for voting.
MIG.ARPDM.9.2 Develop and analyze fair methods for apportioning representatives.
MIG.ARPDM.9.3 Develop fair methods for setting voting district boundaries.

ABSTRACT REASONING & PROBABILISTIC DECISION-MAKING – NORMAL DISTRIBUTIONS

MIG.ARPDMa.5 Solve contextual, mathematical problems with normal distributions to make appropriate decisions.

ABSTRACT REASONING & PROBABILISTIC DECISION-MAKING – BINOMIAL, GEOMETRIC, AND POISSON DISTRIBUTIONS

MIG.ARPDMb.6 Solve contextual, mathematical problems using other distributions (e.g., binomial, geometric, and Poisson) as well as simulations to make appropriate decisions.

ABSTRACT REASONING & PROBABILISTIC DECISION-MAKING – SIMULATIONS

MIG.ARPDMc.8 Use simulations to make appropriate decisions.

ABSTRACT REASONING & PROBABILISTIC DECISION-MAKING – FAIR REPRESENTATION

MIG.ARPDMd.9 Using quantitative reasoning, determine fair methods to reflect the wishes of a larger population with representatives.

MATHEMATICAL MODELING

MIG.MM.1.1 Explain contextual, mathematical problems using a mathematical model.
MIG.MM.1.2 Create mathematical models to explain phenomena that exist in the natural sciences, social sciences, liberal arts, fine and performing arts, and/or humanities contexts.
MIG.MM.1.3 Using abstract and quantitative reasoning, make decisions about information and data from a contextual situation.
MIG.MM.1.4 Use various mathematical representations and structures with this information to represent and solve real-life problems.

PROBABILISTIC REASONING – PROBABILISTIC MODELS

MIG.PR.7.1 Use program evaluation review technique (PERT) to investigate completion times of a project.
MIG.PR.7.2 Develop and apply transition matrices to make predictions using Markov Chains.
MIG.PR.7.3 Apply queuing theory
MIG.PR.7.4 Consider contextual factors and investigate issues within the decision-making process.