STATLEARN@: AN E-LEARNING RESOURCES FOR IMPROVING STUDENTS' UNDERSTANDING OF HYPOTHESIS TESTING
Universiti Teknologi MARA (MALAYSIA)
About this paper:
Conference name: 12th International Conference on Education and New Learning Technologies
Dates: 6-7 July, 2020
Location: Online Conference
Abstract:
Parallel to the evolving technology in teaching and learning, electronic learning has become more significant and widely used in various areas of education including statistics. Teaching and learning statistics using technology is profoundly unique because it combines statistical methods and technology tools that enable students to be more engaged in learning statistics compared to the traditional learning method. In this study, a resourceful electronic teaching and learning tool STATLEARN@ was developed to support and assist student in learning hypothesis testing more effectively. STATLEARN@ was developed synchronous to the process of conducting step by step hypothesis for solving statistical problems through computer dashboard. The contents of this e-learning tool include interactive help and guides, interactive notes, list of formulas, quizzes and test questions for each specific statistical topic. STATLEARN@ has become an attractive tool for non-statistics students especially those with poor learning ability as they are able to learn statistics at their own pace. This paper will describe how STATLEARN@ is used to improve students’ understanding of hypothesis testing based on their engaging activities in STATLEARN@. A sample of 87 students were exposed to STATLEARN@ and its usability and usefulness were examined. The results show that more than 70% of the students found STATLEARN@ were easy to navigate and use and enable them to learn statistics easily. In terms of its usefulness, more than 80% agreed that STATLEARN@ is an interesting e-learning resources which can boost up their confidence while learning statistics. It also helps them to manage their learning time towards better learning experience. Keywords:
STATLEARN, e-learning, hypothesis testing, statistical problem solving.