10th International
Conference on
Teaching Statistics
8 – 13 July 2018
Kyoto, Japan

Technology and multimedia in statistics education



Technology plays a central role in the statistical education of students at all levels. New visualization technologies can provide distinctive insights into the nature of data and data patterns which assist comprehension of information and inform judgement. Virtual environments and the internet offer access to data and to authentic scientific inquiry through simulation, interactive modes of data manipulation and use of multimedia for illustrating ideas. Online and eLearning models have drastically increased over the past decade, providing access to statistics education to many more students and teachers in secondary and post-secondary settings. Progress in the use of technology to advance statistics education is faced with the contrasting realities in which young populations in developed countries have almost ubiquitous access to technologies, while those in developing countries have limited access to the Internet and low education levels. Thus, technology and multimedia learning in statistics must respond to today’s pedagogical challenges.

Sessions in Topic 9 will explore how technology can radically impact what students can learn and how our teaching can be substantially enhanced by technology and multimedia in statistics education. What type of digital approaches have been used in education for gathering and modeling data, or dealing with large data sets (e.g. big data), or creating multimedia for online learning, or assessing students’ skills? What theoretical frameworks undergird this work and what do evaluation efforts tell us about the success of technological interventions? What is the role of eLearning, from small group experiences to MOOCs, in developing skills for both teachers and students in these new ways of learning statistics? What issues and progress has been made in developing countries, and how can scholars from around the globe come together to help create solutions for all students and teachers of statistics?


9AThe design of digital tools and technology-enhanced learning environments for teaching statistics
9BModeling, randomization and simulation tools for connecting data and chance
9CThe emerging concepts of “data science” and “big data” for educational purposes
9DE-learning, E-teaching and E-assessment in fully online, blended and open virtual web-based courses
9ESupporting teachers’ use of new statistics technology in their classrooms and development of their technological-pedagogical content knowledge
9FTechnology for developing statistical thinking, reasoning, and literacy
9GEducational software for helping students learn statistics
9HFuture trends for technology in statistics education (panel discussion)