Critical Design Decisions for Successful Model-Based Inquiry in Science Classrooms

功能可见性 背景(考古学) 论证理论 集合(抽象数据类型) 多样性(控制论) 计算机科学 下一代科学标准 教学设计 纪律 科学教育 管理科学 工程伦理学 数学教育 心理学 社会学 工程类 人机交互 生物 认识论 哲学 程序设计语言 古生物学 社会科学 人工智能
作者
Ronald W. Rinehart,Ravit Golan Duncan,Clark A. Chinn,Trudy A. Atkins,Jessica DiBenedetti
出处
期刊:International journal of designs for learning [Association for Educational Communications and Technology]
卷期号:7 (2) 被引量:31
标识
DOI:10.14434/ijdl.v7i2.20137
摘要

Current science education reforms and the new standards (Next Generation Science Standards [NGSS], 2013) advocate that K-12 students gain proficiency in the knowledge-generating practices of scientists. These practices include argumentation, modeling, and coordinating evidence with theories and models. Practice-based instruction is very different from traditional methods. Creating practice-rich instructional materials presents substantive challenges even for experienced educational designers because of the unlimited choice of potential phenomena to study and the inherent difficulties of developing the associated models and evidence. In this design case we will discuss some of the affordances, constraints and tradeoffs associated with making decisions about four key design principles of engaging students with evidence-based scientific modeling. The first set of decisions involves identifying the focus phenomenon. The second set of decisions regards how to represent the focus phenomenon as an explanatory scientific model and how to design for student engagement with modeling. The third set of decisions involves selecting and developing the evidence students will use to evaluate models. The final set of design decisions pertains to developing supporting activities that foster disciplinary engagement (Engle & Conant, 2002) during modeling. We developed a variety of approaches that address these four design challenges and present them in the context of a unit we developed for a middle school life science course focusing on genetics and inheritance. This design case illustrates how a group of designers, including university researchers, teachers, and school administrators, arrived at collective design decisions bearing on these four problems.
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