Implementing the Computer-Supported Collaborative Learning and Teaching in a Statistics Class for the Engineering Students

Rohmatul Fajriyah,Paulo C Rodriguez

doi:10.1088/1742-6596/1028/1/012233

Rohmatul Fajriyah, Paulo C Rodriguez

Open Access

https://doi.org/10.1088/1742-6596/1028/1/012233

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Abstract

Teaching statistics for non-statistics students is a quite daunting job. The students need to understand the concepts and capable to apply them to solve the pseudo and real problems. Traditional teaching method is mostly one direction, from the lecturer to the students. Therefore, it is solely a lecturer responsibility to make the students enjoying and understanding statistics. The implementation of the new teaching method by incorporating another lecturer, student and statistical software R in the learning process give very positive results. Beside, the students learn on how to build a solid team to finish and defence their projects, at the end of the project it is clear that the students’ levels of understanding about statistics are better than the previous year one which was without the project. The students’ scores based on the final project report, the homework and the written exam are increased. In continuing the teaching method, we learn that it is suitable more for the small class only (10-20 students). For the bigger class then we suggest to work with some teaching assistants to help during the computer sessions.

Highlights

Industrial Statistics is one of the courses at the Industrial Engineering Department at the International Program Universitas Islam Indonesia (IE-IP UII) where students start to learn the inferential statistics
The students are helping each other to understand the course material, which is a good sign of the collaborative learning implementation 4) In implementing the CSCLT, we combine the project assignment in a group and the individual task
We combine the final score for them as the midterm exam 35%, the final exam 35% and the individual task 30% 5) Students give a review for the instructor as very good in English, in his expertise in Statistics and using the statistical software, threat the students with respect, encouraging students to ask and give the answer, explain material clearly, well prepared and help students to understand the material 6) Students perceive that the teaching assistants help them to understand the material and statistical software and provide them the consultation outside the class Beside the positive reviews, there are some drawbacks in the implementation of CSCLT

Summary

Introduction

Industrial Statistics is one of the courses at the Industrial Engineering Department at the International Program Universitas Islam Indonesia (IE-IP UII) where students start to learn the inferential statistics. Students are introduced to some statistical methods that could be used to do the inference based on data at hand. The understanding of students toward the methods in this course will help students to do the data analysis for their final task assignments or at work after the graduation. For universities in Asia, the international program, where all courses and communication are in English, has gained popularity among students and parents. Students lack to have an experience to be taught and academically interact with English native lecturers. This is happened at the IE-IP UII

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