@inproceedings{e56a1a9463a94ae08d9dc9732650fb08,
title = "HERA: Exploring the power of adaptive scaffolding on scientific argumentation and modelling competencies in online learning systems",
abstract = "Scientific argumentation addresses how arguments are structured from evidence and is a central process in scientific enquiry and modeling. Although scientific argumentation is considered one of the critical competencies in the U.S. Next Generation Science Standards and internationally there is lack of effective and scalable adaptive online learning systems for students to practice the competencies, including mechanistic reasoning, across domains of scientific knowledge and contexts. In this paper we introduce an experimental framework aimed to facilitate the exploration of the effects of adaptive scaffolding in online learning systems on students{\textquoteright} ability to develop mechanistic reasoning in scientific argumentation. We describe findings from a pilot study and discuss next steps in research and development of adaptive scaffolding in online learning systems.",
author = "Yigal Rosen and Meirav Arieli-Attali and Ward, \{Sue J.\} and Jennifer Seery and Vanessa Simmering and Laurel Ozersky and Kristin Stoeffler and Kacy Webster and \{von Davier\}, Alina",
note = "Publisher Copyright: {\textcopyright} ISLS.; 14th International Conference of the Learning Sciences: The Interdisciplinarity of the Learning Sciences, ICLS 2020 ; Conference date: 19-06-2020 Through 23-06-2020",
year = "2020",
language = "English",
series = "Computer-Supported Collaborative Learning Conference, CSCL",
publisher = "International Society of the Learning Sciences (ISLS)",
pages = "1665--1668",
editor = "Melissa Gresalfi and Horn, \{Ilana Seidel\}",
booktitle = "14th International Conference of the Learning Sciences",
}