How Learning to Speak the Language of a Computer-Based Digital Environment Can Plant Seeds of Algebraic Generalisation: The Case of a 12-Year-Old Student and eXpresser DOI Creative Commons
Anna Baccaglini‐Frank, Eirini Geraniou, Celia Hoyles

и другие.

Education Sciences, Год журнала: 2024, Номер 14(4), С. 409 - 409

Опубликована: Апрель 14, 2024

When learning in a digital interactive mathematics environment (DIMLE) designed to foster the development of specific content, students come express their ideas through different languages and representations. We devise method based on Theory Instrumental Genesis (TIG) analyse aspects middle school student’s about algebraic generalisation DIMLE called “eXpresser”. Our analytic scheme allows us capture changes her instrumented schemes when accomplishing certain task repeatedly, gradually modifying interactions with system. The results concern both insights into journey DIMLE, methodological progress at more general level. Indeed, we devised explored this case can be applied infer students’ from actions as they interact other DIMLEs. This possibility yields great potential because now recognized directly by software. has important implications for computer-supported personalised learning, AI general.

Язык: Английский

How Learning to Speak the Language of a Computer-Based Digital Environment Can Plant Seeds of Algebraic Generalisation: The Case of a 12-Year-Old Student and eXpresser DOI Creative Commons
Anna Baccaglini‐Frank, Eirini Geraniou, Celia Hoyles

и другие.

Education Sciences, Год журнала: 2024, Номер 14(4), С. 409 - 409

Опубликована: Апрель 14, 2024

When learning in a digital interactive mathematics environment (DIMLE) designed to foster the development of specific content, students come express their ideas through different languages and representations. We devise method based on Theory Instrumental Genesis (TIG) analyse aspects middle school student’s about algebraic generalisation DIMLE called “eXpresser”. Our analytic scheme allows us capture changes her instrumented schemes when accomplishing certain task repeatedly, gradually modifying interactions with system. The results concern both insights into journey DIMLE, methodological progress at more general level. Indeed, we devised explored this case can be applied infer students’ from actions as they interact other DIMLEs. This possibility yields great potential because now recognized directly by software. has important implications for computer-supported personalised learning, AI general.

Язык: Английский

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