Abstract

Self-generation of knowledge can activate deeper cognitive processing and improve long-term retention compared to the passive reception of information. It plays a distinctive role within the concept of inquiry-based learning, which is an activity-oriented, student-centered collaborative learning approach in which students become actively involved in knowledge construction by following an idealized hypothetico-deductive method. This approach allows students to not only acquire content knowledge, but also an understanding of investigative procedures/inquiry skills – in particular the control-of-variables strategy (CVS). From the perspective of cognitive load theory, generating answers and solutions during inquiry-based learning is inefficient as it imposes an intrinsic and extraneous load on learners. Previous research on self-generation of content knowledge in inquiry-based learning has demonstrated that (1) a high cognitive load impairs retention of the generated information, (2) feedback is a fundamental requirement for self-generation of complex content knowledge, (3) self-generation success is key to long-term retention, and (4) generating and rereading place different demands on learners. However, there is still no research on the self-generation of scientific reasoning skills (procedural knowledge) and no knowledge of interaction between the (long-term) retention of these skills with prior knowledge, feedback and self-generation success. That is why this experiment was conducted. The focus of this research is to analyze the distinctive role of self-generation of scientific reasoning skills within the concept of inquiry-based learning and to identify the influence of prior knowledge and self-generation success on short-term and long-term retention. For this purpose, an experiment involving 133 6th and 7th graders was conducted. An inquiry activity that included the self-generation of scientific reasoning skills was compared to an inquiry task that had students simply read information about the experimental design. We used both an immediate and a delayed test to examine which treatment better developed a deeper understanding of CVS and an ability to apply this knowledge to novel problems (transfer). Direct instruction was clearly superior to self-generation in facilitating students’ acquisition of CVS immediately after the inquiry task. However, after a period of 1 week had elapsed, both treatment conditions turned out to be equally effective. A generation effect was only found among students with high self-generation success after a 1-week delay.

Highlights

  • Effectiveness of Inquiry-Based LearningInquiry-based learning is a central form of teaching and learning in science classes

  • The goals of the present study are to investigate the effect of the active self-generation of scientific reasoning skills, determine the extent to which students transfer the Control of Variables Strategy (CVS) and generalize it across various contexts, and identify the role of students’ prior knowledge, cognitive abilities, cognitive load and self-generation success in the long-term retention of information generated during inquiry

  • As we conducted the experiment under authentic school conditions, there was a high probability that the biology teachers in the participating classes continued the unit on inquiry-based learning in subsequent biology lessons, as they participated in our project for educational reasons

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Summary

Introduction

Effectiveness of Inquiry-Based LearningInquiry-based learning is a central form of teaching and learning in science classes. Inquiry-based scientific investigation is recommended in the National Science Education Standards as a unique science teaching approach focusing on scientific reasoning skills These include the ability to use a variety of cognitive and laboratory tools of science, plan appropriate investigations, to construct arguments on the basis of evidence and communicate the results of one‘s investigations (National Research Council, 2013). A fundamental part of the inquiry process and a defining element of the scientific endeavor is an understanding of the importance and principles of unconfounded evidence (Chen and Klahr, 1999; Kuhn and Dean, 2005) This foundational skill in scientific reasoning plays a key part in science education and is referred to as Control of Variables Strategy (CVS) (Linn et al, 1981; Chen and Klahr, 1999). While meta-analyses of inquiry-based learning in science have found (relatively modest) positive gains from using inquiry-based learning (Furtak et al, 2012), the theories underlying the effectiveness of inquiry-based learning are still quite controversial (Kirschner et al, 2006; Hmelo-Silver et al, 2007)

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