Una forma sencilla de generar números aleatorios con GeoGebra es utilizando el comando [url=https://wiki.geogebra.org/es/Comando_AleatorioEntre]AleatorioEntre[/url], esto nos permitirá que los datos de partida no sean los mismos para todos los alumnos. [br]Podemos plantear actividades con situaciones de partida y procedimientos similares pero con datos distintos.[br]Vamos a comenzar con un ejemplo sencillo, supongamos que queremos generar aleatoriamente un punto del plano comprendido entre -5 y 5 para cada una de sus componentes. [br][img]data:image/png;base64,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[/img][br]De este modo se genera un punto distinto en cada situación.[br][br][list=1][*]Crea una construcción en la que se muestre una recta con pendiente 1 que pasa por un punto generado aleatoriamente, como se ha hecho en el ejemplo.[/*][*]Añade otra recta que pase por el punto anterior y cuya pendiente se genere aleatoriamente entre -2 y -1 con valores decimales, esto es la pendiente puede tomar los valores -2, -1.9, -1.8,..., -1.1, -1[/*][/list]