About: Inquiry-based learning is a research topic. Over the lifetime, 2104 publications have been published within this topic receiving 25436 citations. The topic is also known as: IBL.
TL;DR: In this article, a systematic literature review was conducted to identify and summarise the core features of inquiry-based learning by means of a systematic review and developed a synthesized inquiry cycle that combines the strengths of existing Inquiry-Based Learning frameworks.
TL;DR: Project-based learning (PBL) is an active student-centred form of instruction which is characterised by students autonomy, constructive investigations, goal-setting, collaboration, communication as discussed by the authors.
Abstract: Project-based learning (PBL) is an active student-centred form of instruction which is characterised by students’ autonomy, constructive investigations, goal-setting, collaboration, communication a...
TL;DR: Gunstone et al. as discussed by the authors reviewed recent research on self-regulated learning and discuss the implications of this research for science education, focusing on three components of selfregulated learning including cognition, metacognition, and motivation.
Abstract: The purpose of this article is to review recent research on self-regulated learning and discuss the implications of this research for science education. We draw on examples of self-regulated learning from the science education literature to summarise and illustrate effective instructional methods and the development of metacognitive understanding (Gunstone; 1999a; Rickey & Stacy, 2000; White & Mitchell, 1994). We also focus on the crucial role that metacognition plays in self-regulation (Baird & White, 1996; Nichols, Tippins, & Wieseman, 1997; White, 1998). We divide our discussion into two main parts. The first focuses on three components of selfregulated learning, including cognition, metacognition, and motivation. We relate these aspects of self-regulation to current practices in science education. The second section focuses on six general instructional strategies for improving self-regulation in the science classroom. We focus on the use of inquiry based learning, the role of collaborative support, strategy and problem solving instruction, the construction of mental models, the use of technology to support learning, and the role of personal beliefs such as self-efficacy and epistemological world views. These instructional strategies are selected because they reflect extensive research agendas over the last decade within the science education literature and are essential to metacognition and self-regulation (Butler & Winne, 1995; Gunstone, 1999b).
TL;DR: A design history covering 4 generations of software and curriculum is presented to show how these challenges arise in classrooms and how the design strategies respond to them.
Abstract: Inquiry experiences can provide valuable opportunities for students to improve their understanding of both science content and scientific practices. However, the implementation of inquiry learning in classrooms presents a number of significant challenges. We have been exploring these challenges through a program of research on the use of scientific visualization technologies to support inquiry-based learning in the geosciences. In this article, we describe 5 significant challenges to implementing inquiry-based learning and present strategies for addressing them through the design of technology and curriculum. We present a design history covering 4 generations of software and curriculum to show how these challenges arise in classrooms and how the design strategies respond to them.
TL;DR: In this paper, the authors identify two major approaches of utilizing AR technology in science education, which are named as image-based and location-based AR and find that students' spatial ability, practical skills, and conceptual understanding are often afforded by image based AR and location based AR usually support inquiry-based scientific activities.
Abstract: Augmented reality (AR) is currently considered as having potential for pedagogical applications. However, in science education, research regarding AR-aided learning is in its infancy. To understand how AR could help science learning, this review paper firstly has identified two major approaches of utilizing AR technology in science education, which are named as image-based
AR and location-based AR. These approaches may result in different affordances for science learning. It is then found that students’ spatial ability, practical skills, and conceptual understanding are often afforded by image-based AR and location-based AR usually supports inquiry-based scientific activities. After examining what has been done in science learning with AR supports, several suggestions for future research are proposed. For example, more research is required to explore learning experience (e.g., motivation or cognitive load) and learner characteristics (e.g., spatial ability or perceived presence) involved in AR. Mixed methods of investigating learning process (e.g., a content analysis and a sequential analysis) and in-depth examination of user experience beyond usability (e.g., affective variables of esthetic pleasure or emotional fulfillment) should be considered. Combining image-based and location-based AR technology may bring new possibility for supporting science learning. Theories including mental models, spatial cognition, situated cognition, and social constructivist learning are suggested for the profitable uses of future AR research in science education.