Cuestionarios online como herramienta de aprendizaje: comparación de resultados con diversos modelos de cuestionarios.

En este trabajo se comparan dos estrategias de evaluación a través de cuestionarios online: i) realizar un cuestionario de evaluación sumativa al final de cada bloque temático del curso o ii) permitir que, para cada bloque temático, el alumno pueda repetir varias veces un test (con realimentación de las respuestas correctas) y realizar un test similar después de esta fase de aprendizaje. Los resultados muestran varios beneficios de la segunda estrategia: una mayor participación de los alumnos hasta el final del semestre, una menor tasa de abandono de la asignatura y una mejor nota en los test. Sin embargo, para que el aprendizaje sea efectivo en el caso de repetir varias veces un test, se necesita un banco de preguntas suficientemente amplio para que exista una probabilidad baja de que las preguntas no se repitan. Este problema se ha resuelto utilizando la posibilidad que presentan algunas plataformas de gestión del aprendizaje de generar automáticamente variantes numéricas de una misma pregunta. Por último se observa un grado de acuerdo muy elevado por parte de los alumnos con el peso que los resultados de los tests tienen en la nota final del curso, en el caso bajo estudio. Abstract: This work compares two different assessment strategies through online tests: i) summative assessment tests at the end of each part of the course or ii) the students can do selfassessment tests (with feedback) prior to a summative assessment test at the end of each part of the course. Results show that the second strategy yields several benefits: an increment in student participation till the end of the semester, a reduction in the drop-out rate and an increase in the mean test marks. However, a large item bank is necessary to effectively implement this second strategy. This problem has been addressed by using the automatic item generation facility offered by several learning management systems. Finally, a high proportion of the students agree with the weight proposed for these tests in the final course mark.

A characterisation of passive and active interactions and their influence on student's achievement using Moodle LMS Logs

During the last years, there has been much concern about learning management systems' (LMS) effectiveness when compared to traditional learning and about how to assess students' participation during the course. The tracking and monitoring capabilities of most recent LMS have made it possible to analyse every interaction in the system. The issues addressed on this study are: a) Is LMS student's interaction an indicator of academic performance?; b) Are different results in performance expected between distance and in-class LMS-supported education?; c) How can LMS interactions from logs be categorised?; d) May this categorisation detect 'learning witnesses'? To answer these questions, a set of interaction types from Moodle LMS activity record logs has been analysed during two years in online and in-class Master's degrees at the UPM. The results show partial or no evidence of influence between interaction indicators and academic performance, although the proposed categorisation may help detect learning witnesses.