ADAPTIVE GRAMMAR INSTRUCTION FOR PRONOUNS
Techniques are described for an automated grammar teaching system that displays sentences and allows a user to identify pronoun errors or noun phrases that should be replaced with pronouns within the sentences, if any. The user may be asked to complete one or more of the following: to determine whether the sentences have a pronoun error or a noun phrase that should be replaced by a pronoun, to identify the type of the pronoun error, to identify the antecedent or core nouns that determine a plurality of the antecedent, to select a replacement sentence to best correct the pronoun error, and/or to locate an incorrectly displayed pronoun or a noun phrase and type a replacement pronoun. To guide the user, user responses may trigger the display of remediation information, which may include reasons why the user response is incorrect.
1 . A computer-executed method comprising:
displaying a graphical user interface that is generated by an automated grammar teaching system that is executing, at least in part, on a computing device;
depicting a natural language sentence on the graphical user interface;
receiving input information, from a user, which indicates whether the natural language sentence includes a pronoun error or a noun phrase that should be replaced with a pronoun;
determining, by the automated grammar teaching system, whether the input information is correct; and
in response to determining that the input information is incorrect for the natural language sentence, the automated grammar teaching system performing one or more of:
communicating that the input information is incorrect,
communicating a request for second input information, or
displaying remediation information for the natural language sentence.
2 . The method of claim 1 , further comprising, prior to the receiving, communicating one or more hints for the natural language sentence.
3 . The method of claim 1 , wherein the communicating that the input information is incorrect further communicates one or more hints for the natural language sentence.
4 . The method of claim 1 , wherein the remediation information comprises explaining that the natural language sentence includes a correct pronoun.
5 . The method of claim 1 , wherein the remediation information comprises explaining that the input information includes a homophone or a misspelling.
6 . The method of claim 1 , wherein the remediation information comprises explaining why a particular noun in the natural language sentence is unrelated to the pronoun error.
7 . The method of claim 1 , further comprising:
in response to determining that the second input information is correct for the natural language sentence, the automated grammar teaching system performing one or more of:
providing a pronoun rule explanation as applied for the natural language sentence,
communicating another request for third input information indicating a location of the pronoun error; or
communicating another request for fourth input information indicating a grammar rule being applied for the natural language sentence.
8 . The method of claim 1 , further comprising:
recording, in a set of historical data for the user, information about the natural language sentence and the input information;
based, at least in part, on the set of historical data for the user, selecting a second natural language sentence; and
displaying a second graphical user interface, at the computing device, that depicts the second natural language sentence.
9 . A computer-executed method comprising:
displaying a graphical user interface, at a computing device, that is generated by an automated grammar teaching system that is executing, at least in part, on the computing device;
depicting a natural language sentence that includes, at a particular location within the natural language sentence, a particular pronoun error or a particular noun phrase;
maintaining, by the automated grammar teaching system, data for identifying one or more accurate corrections for the particular pronoun error or the particular noun phrase;
providing a control, in the graphical user interface, for receiving correction information for the particular pronoun error or the particular noun phrase;
receiving, via the control from a user, information indicating a particular correction;
determining, based on the data, whether the particular correction is one of the one or more accurate corrections for the particular pronoun error or the particular noun phrase; and
in response to determining that the particular correction is the one or more accurate corrections for the particular pronoun error or the particular noun phrase, communicating, via the graphical user interface, that the particular correction was successful.
10 . The method of claim 9 , wherein the data for identifying the one or more accurate corrections for the particular pronoun error or the particular noun phrase include a complete antecedent having one or more core nouns.
11 . The method of claim 9 , wherein the data for identifying the one or more accurate corrections for the particular pronoun error includes a gender, a plurality, a case, a voice, a display text, and one or more acceptable pronouns to replace the display text.
12 . The method of claim 9 , wherein the information indicating the particular correction includes selecting an antecedent in the natural language sentence.
13 . The method of claim 12 , wherein the selecting of the antecedent includes identifying one or more core nouns in the natural language sentence that indicate a plurality of the antecedent.
14 . The method of claim 9 , wherein the information indicating the particular correction includes selecting an antecedent in the natural language sentence.
15 . The method of claim 9 , wherein the information indicating the particular correction includes choosing a type of error for the particular pronoun error.
16 . The method of claim 9 , wherein the information indicating the particular correction includes a corrected pronoun to correct the particular pronoun error.
17 . The method of claim 9 , wherein the information indicating the particular correction includes selecting a replacement sentence for the natural language sentence to best correct the particular pronoun error.
18 . The method of claim 9 , further comprising:
in response to determining that the particular correction is not the one or more accurate corrections for the particular pronoun error or the particular noun phrase, communicating, via the graphical user interface, remediation information based on one or more of:
academic literature about what students know about pronouns and mistakes students make about pronouns;
cognitive learning models from subject matter experts and/or cognitive scientists; or
a recorded set of historical data for the user.
19 . A non-transitory computer-readable medium storing one or more sequences of instructions which, when executed by one or more processors, cause performing of:
displaying a graphical user interface, at a computing device, that is generated by an automated grammar teaching system that is executing, at least in part, on the computing device;
depicting a natural language sentence that includes, at a particular location within the natural language sentence, a particular pronoun error or a particular noun phrase;
maintaining, by the automated grammar teaching system, data for identifying one or more accurate corrections for the particular pronoun error or the particular noun phrase;
providing a control, in the graphical user interface, for receiving correction information for the particular pronoun error or the particular noun phrase;
receiving, via the control from a user, information indicating a particular correction;
determining, based on the data, whether the particular correction is one of the one or more accurate corrections for the particular pronoun error or the particular noun phrase; and
in response to determining that the particular correction is the one or more accurate corrections for the particular pronoun error, communicating, via the graphical user interface, that the particular correction was successful.
20 . The non-transitory computer-readable medium of claim 19 , wherein the one or more sequence of instructions further cause performing of:
in response to determining that the particular correction is not the one or more accurate corrections for the particular pronoun error or the particular noun phrase, communicating, via the graphical user interface, remediation information based on one or more of:
academic literature about what students know about pronouns and mistakes students make about pronouns;
cognitive learning models from subject matter experts and/or cognitive scientists; or
a recorded set of historical data for the user.