Student active learning online and in the classroom by combining the best of Flipped Classroom and MOOCs when teaching statistics
2017 (English)In: RSS International Conference: Abstract booklet, Royal Statistical Society , 2017, p. 18-18Conference paper, Oral presentation with published abstract (Other academic)
Abstract [en]
Flipped classroom teaching means, in short, to change/flip where students and teachers dothings. Instead of students (passively) listening to a teacher’s lecture in the classroom andthen going home to solve problems on their own, the idea is that students first watch video lectures at home and then come to the classroom to (actively) solve problems together with other students and the teacher.
As part of a pedagogical project, we have used special learning management system (LMS)called “Scalable Learning”, which facilitates teaching with flipped classroom techniques. The Scalable Learning LMS allows the teacher to make the video lectures interactive by adding quizzes and surveys to the videos (as is very common in Massive Open Online Courses (MOOCs)), thereby helping the students to be more active while watching the videos. Moreover, there are different tools implemented in the LMS so that students e.g., can ask questions in direct connection to the videos. The student supplied questions and their answers to the quizzes can then, together with other data from the LMS, be used by theteacher to prepare classroom activities customized to the students’ needs.
We present our experiences of teaching a course in statistics using this LMS; there are both pros and cons from a teachers’ point of view. Also, we present the students’ opinions with the LMS and with the flipped classroom teaching that they were exposed to during the course. Most of them were very satisfied with the concept but they also provided us with several interesting ideas on how to improve the course.
Place, publisher, year, edition, pages
Royal Statistical Society , 2017. p. 18-18
National Category
Probability Theory and Statistics Didactics
Identifiers
URN: urn:nbn:se:umu:diva-140579OAI: oai:DiVA.org:umu-140579DiVA, id: diva2:1149052
Conference
Royal Statistical Society 2017 International Conference, Glasgow, Scotland, September 4-7, 2017
2017-10-132017-10-132024-07-02Bibliographically approved