Refining statistical problems: A hybrid problem-based learning methodology to improve students’ motivation

Description: Statistics is fundamental to many disciplines and plays a central role in Engineering and Sciences. To understand and apply statisticsrequires students to be highly motivated. Therefore, fostering students’ learning and reducing dropout rates implies increasing students’ motivation. We present a guided problem-based learning approach to teaching statistics in hybrid learning environments and we analyseits impact on students’ motivation. We pay special attention at subdividing problems into small sections to obtain detailed sets ofquestions associated with specific concepts or procedures. This degree of detail guarantees that students can easily tackle theseproblems in virtual learning environments. In addition, thanks to the use of automatically generated log files, our proposal allowsteachers to finely analyse the steps in which students have difficulties. We assess our proposal in terms of student satisfaction andmotivation. The results show that although success rates are not improved, students’ motivation for the subject increases. Consequently, our approach is a good choice to improve motivation and reduce the dropout rate in difficult subjects such as Statistics.

Publication date: 2010
Editor: Instituto de Relaciones Internacionales" Daza de Valdes"
Abstract:
Statistics is fundamental to many disciplines and plays a central role in Engineering and Sciences. To understand and apply statisticsrequires students to be highly motivated. Therefore, fostering students’ learning and reducing dropout rates implies increasing students’ motivation. We present a guided problem-based learning approach to teaching statistics in hybrid learning environments and we analyseits impact on students’ motivation. We pay special attention at subdividing problems into small sections to obtain detailed sets ofquestions associated with specific concepts or procedures. This degree of detail guarantees that students can easily tackle theseproblems in virtual learning environments. In addition, thanks to the use of automatically generated log files, our proposal allowsteachers to finely analyse the steps in which students have difficulties. We assess our proposal in terms of student satisfaction andmotivation. The results show that although success rates are not improved, students’ motivation for the subject increases. Consequently, our approach is a good choice to improve motivation and reduce the dropout rate in difficult subjects such as Statistics.

Link to publication

 

 
Av. Països Catalans, 26, 43470 Tarragona, Catalonia, Spain
 
 

Av. Països Catalans, 26, 43470 Tarragona, Catalonia, Spain
Latest from our Blog