Diferencia entre revisiones de «Metas de analítica del aprendizaje»
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- Para administradores del sitio
- Modelos de analítica del aprendizaje
- Para profesores
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== | == Acerca de las metas == | ||
[[File:create_model_2.png|thumb]] | [[File:create_model_2.png|thumb]]Las metas representan un “bueno conocido”-- algo acerca de lo cual tenemos muy buena evidencia de su valor. Las metas deben ser diseñadas cuidadosamente para que estén alineadas con las prioridades curriculares de la institución. Cada modelo tiene una única meta. El “Analizador”[[File:analyser.png|thumb]] (contexto en el cual las metas serán evaluadas) es controlado automáticamente por la selección de la meta. | ||
== | == Metas proporcionadas con Moodle estándar == | ||
Moodle | Moodle proporciona una lista creciente de metas incluidas en el núcleo estándar de Moodle: | ||
* ''' | * '''Estudiantes en riesgo de no lograr las competencias asignadas al curso''' -- This target provides predictions for students enroled in courses with competencies assigned. To train the model, a history of courses with competencies and records of competencies achieved must be available on the site. Courses in both the training and prediction sets must have start and end dates. | ||
* ''' | * '''Estudiantes en riesgo de no cumplir las condiciones de finalización del curso''' -- This target provides predictions for students enroled in courses with completion conditions set. To train the model, a history of courses with completion conditions set and calculated must be available on the site. Courses in both the training and prediction sets must have start and end dates. | ||
* ''' | * '''Estudiantes en riesgo de abandonar''' -- This target uses minimal assumptions to estimate student dropout. If the student participates at all in the last quarter of the course, the student is assumed not to have dropped out. The only requirement is that the courses in both the training and prediction sets must have start and end dates. | ||
* ''' | * '''Estudiantes en riesgo de no obtener la calificación mínima para pasar el curso''' -- This target provides predictions for students enroled in courses with a minimum passing grade configured. To train the model, a history of courses with passing grades must be available on the site. Courses in both the training and prediction sets must have start and end dates. | ||
Although these targets all apply to student enrolments in courses, this is not a requirement. Targets can be based on any outcome or process in Moodle. | Although these targets all apply to student enrolments in courses, this is not a requirement. Targets can be based on any outcome or process in Moodle. | ||
Revisión del 14:24 26 jun 2019
Nota: Urgente de Traducir. ¡ Anímese a traducir esta muy importante página !. ( y otras páginas muy importantes que urge traducir)
Acerca de las metas
Las metas representan un “bueno conocido”-- algo acerca de lo cual tenemos muy buena evidencia de su valor. Las metas deben ser diseñadas cuidadosamente para que estén alineadas con las prioridades curriculares de la institución. Cada modelo tiene una única meta. El “Analizador”
(contexto en el cual las metas serán evaluadas) es controlado automáticamente por la selección de la meta.
Metas proporcionadas con Moodle estándar
Moodle proporciona una lista creciente de metas incluidas en el núcleo estándar de Moodle:
- Estudiantes en riesgo de no lograr las competencias asignadas al curso -- This target provides predictions for students enroled in courses with competencies assigned. To train the model, a history of courses with competencies and records of competencies achieved must be available on the site. Courses in both the training and prediction sets must have start and end dates.
- Estudiantes en riesgo de no cumplir las condiciones de finalización del curso -- This target provides predictions for students enroled in courses with completion conditions set. To train the model, a history of courses with completion conditions set and calculated must be available on the site. Courses in both the training and prediction sets must have start and end dates.
- Estudiantes en riesgo de abandonar -- This target uses minimal assumptions to estimate student dropout. If the student participates at all in the last quarter of the course, the student is assumed not to have dropped out. The only requirement is that the courses in both the training and prediction sets must have start and end dates.
- Estudiantes en riesgo de no obtener la calificación mínima para pasar el curso -- This target provides predictions for students enroled in courses with a minimum passing grade configured. To train the model, a history of courses with passing grades must be available on the site. Courses in both the training and prediction sets must have start and end dates.
Although these targets all apply to student enrolments in courses, this is not a requirement. Targets can be based on any outcome or process in Moodle.
