Join us at the next meeting of the Section Statistics Education, please mark your calendar

Programma:

13.30 – 14.00 Welcome with coffee/tea
14.00 – 14.30 Talk by Sharon Klinkenberg, see title and abstract below
14.30 – 15.15 Discussion in groups
15.15 – 15.30 Coffee break
15.30 – 16.00 Talk by Benji van Beurden, see title and abstract below
16.00 – 16.30 Discussion in groups
16.30 – 16.45 Wrap-up
16.45 – 17.30 Drinks

Date & time:

Friday 4 October 2024 in  (13.30-17.30)

Location:

Wageningen campus
Forum building, room V0031/V0034, ground floor, behind Grand Café
Droevendaalsesteeg 2
6708PB Wageningen

Sharon Klinkenberg, UVA

Title: ShareStats.nl From Vision to Reality: The Story Behind Open-Source Statistics Item Development

Abstract: Join us for an inspiring presentation by Sharon Klinkenberg as he takes us on a captivating journey through the world of open-source statistics item development. Delve into the collaborative efforts among multiple universities, witness the meticulous process of ensuring item quality, and explore the seamless development, deployment, and maintenance of these resources in the public domain. Don’t miss this opportunity to gain insights into the cutting-edge advancements driving innovation in open educational resources!

Benji van Beurden, UVA

Title: Do you see what I see? A conversation about noteworthy aspects when teaching statistics, and the potential of Learning Analytics

Abstract: Statistics teaching can be challenging and rewarding. As statistics teachers, we experience joy when our students experience eureka-moments, but what do we see when they struggle to understand? Is it ineffective study strategies, a lack of motivation, frustration, or perhaps anxiety triggered by the numbers on the screen? Each of us interprets these challenges in the classroom or lecture hall differently. This interactive talk offers a unique opportunity to share insights with fellow statistics teachers, focusing on what is truly relevant in the teaching of statistics. Together, we will explore the question: Do you see what I see? Following this conversation, we will delve into the potential of Learning Analytics: Could Learning Analytics help us identify what matters in our teaching? Or are there aspects of our human perception that digital tools simply cannot replace?