EconPapers    
Economics at your fingertips  
 

Lesson Plan Approaches: Tasks That Motivate Students to Think

Anna Trostianitser (), Sónia Teixeira () and Pedro Campos ()
Additional contact information
Anna Trostianitser: The Institute of Information Processing and Decision Making (IIPDM) and University of Haifa
Sónia Teixeira: LIAAD-INESC TEC and University of Porto
Pedro Campos: LIAAD-INESC TEC and University of Porto

Chapter Chapter 7 in Statistics for Empowerment and Social Engagement, 2022, pp 153-177 from Springer

Abstract: Abstract In recent years, it has been increasingly necessary for citizens to understand real life statistical dataReal life statistical data—an ability that is rarely taught in schools, where the majority of tasks in statistics classes contain fictional data without context and make no demands on students to explore or explain. Since most real-world phenomena are multivariate (See Chap. 2 ), there is a need to develop students’ abilities dealing with complex data and stories they encounter in the media, in order to help prepare them for informed citizenship. The ProCivicStat project has developed materials to support teaching and learning, in the form of detailed lesson plansLesson plans; a large repository of resources ( http://iase-web.org/islp/pcs/ ) (in several languages) is freely available. This chapter describes our approach to the development of teaching resourcesTeaching resources. It introduces our storytellingStorytelling approachStorytelling approach in lesson plans, where we use real data in contextData in context to encourage students to explore and understand complex data, produce narrative accounts, and often make recommendations about appropriate social actions. The structure of this chapter is as follows: we start with a brief introduction on problems in most tasks commonly encountered in statistics education, and the need for real dataReal data in statistics teaching (Sect. 7.1), followed by the presentation of the milestones that are important for creation of lesson plansLesson plans (Sect. 7.2), and after that we address the use of real dataReal data and our storytellingStorytelling approachStorytelling approach (Sect. 7.3). In Sect. 7.4 we talk briefly about empowering teachers (Sect. 7.4) and describe the teachers’ version of the lesson plan (Sect. 7.5). In Sect. 7.6 we present the guidelines for designing student activities, then proceed with an excerpt of a lesson planLesson plan to exemplify products of the proposed guidelines (Sect. 7.7). We then highlight the visualization tools that help promote the data exploration step (Sect. 7.8), and finish with a conclusion (Sect. 7.9).

Keywords: Storytelling; Data in context; Design principles; Real data; Lesson plan; Teaching statistics; Designing lesson plans (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-20748-8_7

Ordering information: This item can be ordered from
http://www.springer.com/9783031207488

DOI: 10.1007/978-3-031-20748-8_7

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-12-11
Handle: RePEc:spr:sprchp:978-3-031-20748-8_7