Figure 1: Value proposition generation process (Shimada & Matsushima, 2018, p. 30)
BASIC FRAMEWORK FOR M SE AND BASIC STRUCTURE OF LESSONS
The basic framework for MSE
The basic framework for MSE outlines the main features and guidelines of the new learning area
from four perspectives: objectives, methods, content, and assessment (Yamaguchi et al., 2020). This
framework was developed through repeated theoretical and practical considerations.
Table 1: The basic framework for MSE (Yamaguchi et al., 2020, p. 108)
A. Objectives
(A1) Developing mathematical scientific decision-making competences
A11.Process skills A12.Realising mathematical scientific-social value
(A2) Creating a value proposition
(A3) Acquisition of knowledge, skills, ways of thinking, etc. related to cutting-edge sciences
(A4) Arousing interest in contemporary issues
B. Methods
(B1) Principles for creating lessons based on the framework for lesson design
(B2) Principles of basic lesson process
(B3) Principles of mathematical scientific options
(B4) Principles of social interaction
C. Contents
(C1) Authentic issues related to real life and society
(C2) Open-ended problems based on diverse values
(C3) Useful methods for mathematical scientific decision making
D. Assessment
(D1) Assessment of mathematical scientific decision-making competences based on the framework for
lesson design
(D2) Assessment of value propositions
(D3) Assessment of knowledge, skills and ideas related to cutting-edge sciences
(D4) Assessment of interest in contemporary issues
problem
situation
premise 1:
values 1
mathematical
results 1conclusion 1value
proposition 1
mathematical
results 2conclusion 2value
proposition 2
premise 2:
values 2mathematical
results 3conclusion 3value
proposition 3
mathematical
results 4conclusion 4value
proposition 4
premise 3:
values 3