Understanding the world around us is a growing necessity for the whole public, as citizens are required to make informed decisions in their everyday lives about complex issues. Systems thinking (ST) is a promising approach for developing solutions to various problems that society faces and has been acknowledged as a crosscutting concept that should be integrated across educational science disciplines. However, studies show that engaging students in ST is challenging, especially concerning aspects like change over time and feedback. Using computational system models and a system dynamics approach can support students in overcoming these challenges when making sense of complex phenomena. In this paper, we describe an empirical study that examines how 10th grade students engage in aspects of ST through computational system modeling as part of a Next Generation Science Standards-aligned project-based learning unit on chemical kinetics. We show students’ increased capacity to explain the underlying mechanism of the phenomenon in terms of change over time that goes beyond linear causal relationships. However, student models and their accompanying explanations were limited in scope as students did not address feedback mechanisms as part of their modeling and explanations. In addition, we describe specific challenges students encountered when evaluating and revising models. In particular, we show epistemological barriers to fruitful use of real-world data for model revision. Our findings provide insights into the opportunities of a system dynamics approach and the challenges that remain in supporting students to make sense of complex phenomena and nonlinear mechanisms.

Worldwide, teachers are expected to engage their students in authentic practices, like scientific modeling. Research suggests that teachers experience challenges when integrating modeling in their classroom instruction, with one explanation that teachers themselves lack the necessary modeling competence. Currently, theoretical conceptualizations structure the modeling competence into three dimensions: meta‐modeling knowledge, modeling practice, and modeling products. While each of these dimensions is well researched on its own and the three dimensions are commonly expected to be highly positively related, studies investigating their specific relationships are widely lacking. Aiming to fill this gap, the present study investigated the meta‐modeling knowledge, modeling practice, and modeling products of 35 secondary preservice biology teachers engaging in a black box modeling task. Data were collected with an established pen‐and‐paper questionnaire consisting of five constructed response items assessing meta‐modeling knowledge and by videotaping the participants engaging in the black box modeling task. Herein, the three dimensions of modeling competence were operationalized as five variables including decontextualized and contextualized meta‐modeling knowledge, complexity, and homogeneity of the modeling processes and a modeling product score. In contrast to our expectations and common assumptions in the literature, significant relationships between the five variables were widely lacking. Only the complexity of the modeling processes correlated significantly with the quality of the modeling products. To investigate this relationship further, a qualitative in‐depth analysis of two cases is presented. Implications for biology teacher education are discussed.

Complex systems are made up of many entities, whose interactions emerge into distinct collective patterns. Computational modeling platforms can provide a powerful means to investigate emergent phenomena in complex systems. Some research has been carried out in recent years about promoting students’ modeling practices, specifically using technologically advanced tools and approaches that allow students to create, manipulate, and test computational models. However, not much research had been carried out on the integration of several modeling approaches when investigating complex phenomena. In this paper, we describe the design principles used to develop a middle school unit about ants’ collective behavior that integrates three modeling approaches: conceptual drawn models, agent-based models, and system dynamics models. We provide results from an initial implementation of an 8th grade curricular unit, indicating that students engaged with several aspects of the modeling practice. Students’ conceptual knowledge about ant pheromone communication increased following learning the unit. We also found gains in students’ metamodeling knowledge about models as tools for investigating phenomena. We discuss the affordances and challenges of engaging students with several modeling approaches in science classroom.

In science education, epistemic vigilance plays a key role in the development of students' critical thinking by supporting students' abilities to evaluate the expertise level of the source and to evaluate the claim itself, using rigorous scientific standards and appropriate argumentation heuristics. Based on previous studies, which suggested two aspects of epistemic vigilance—reflecting the source of information and the claim that is made—we developed the Extended Epistemic Vigilance Framework (EEVF) that includes an additional aspect of evaluating the receiver. In an empirical exploratory pilot study, we evaluated the reliability and validity of an EEVF‐based category system and investigated to what extent the EEVF can be used to characterize changes in biology graduate students' epistemic vigilance after participating in a critical thinking course. Results show that the EEVF‐based category system includes reliable and valid categories for identifying students' epistemic vigilance. A statistically significant increase with a small effect size was found in students' epistemic vigilance regarding the reliability of the source and the references used to support the claim following their participation in the critical thinking course. However, a statistically significant decrease with a small effect size was found regarding the awareness of the aspects of the one‐sidedness of the claim, the context of the claim, and cognitive biases and socioemotional influences on the receiver. In general, these findings indicate that the EEVF offers an improved framework to analyze students' epistemic vigilance more comprehensively.

Asking questions is an important scientific practice, and students around the world are expected to learn how to ask their own research questions while performing inquiry. In contrast to authentic scientific inquiry, in most simple inquiry tasks that are carried out in schools, the research questions are given to the students. Here, we characterized the teaching and learning of research-question-asking in the context of an innovative inquiry-oriented program for high-school biotechnology majors, focusing on two case studies of lessons in which students were expected to formulate their research questions. In-depth examination of students’ questions, written during the two lessons, revealed that only in one of the lessons students’ ability to ask research questions improved. A connection was found between the more student-centered, dialogic, and interactive teaching strategy and the development of students’ ability to ask research questions in that class. Most of the research questions that were investigated by the students originated from a peer-critique activity during the student-centered lesson, unlike the teacher-focused lesson from which none of the students’ suggested research questions were selected for investigation. It can be concluded that a student-centered, dialogic, and interactive teaching strategy may contribute to the development of students’ ability to ask research questions in an inquiry-oriented high-school program. Encouraging teachers to implement dialogic and interactive classroom discourse in authentic inquiry could be a meaningful tool to support the teaching and learning of scientific abilities such as asking research questions.