Observing complex systems thinking in the zone of proximal development

Our paper builds on the construct of the zone of proximal development (ZPD) (Vygotsky in Mind in society: the development of higher psychological processes, Harvard University Press, Cambridge, 1978) to analyze the relationship between students’ answers and the help they receive as they construct them. We report on a secondary analysis of classroom and interview data that was collected with 1st and 2nd grade students completing a short scaffolded inquiry project designed to help them learn about how honeybees collect nectar. We explore how the progression of questions reveal students’ understanding of complex systems by examining how students’ progression through the questions tended to become more sophisticated as we increased support. We further compare two complex-systems perspectives, Component-Mechanism-Phenomena and agent-based approaches, to see how each would categorize students’ explanations. Findings demonstrate the value of the ZPD as an analytic framework in exploring students’ systems understanding in terms of the nature of questions (e.g., sequencing, type of question) and multiple conceptual models (e.g., component-mechanisms-phenomenon, single agent or aggregate behaviors), and how this might impact students’ groupings according to their ability and subsequent instructional support.     

Impact of model-based science curriculum and instruction on elementary students' explanations for the hydrosphere

Developing scientific literacy about water systems is critical for K-12 students. However, even with opportunities to build knowledge about the hydrosphere in elementary classrooms, early learners may struggle to understand the water cycle (Forbes et al., 2015 ; Gunckel et al., 2012 ; Zangori et al., 2015 ; Zangori et al., 2017 ). Scientific modeling affords opportunities for students to develop representations, make their ideas visible, and generate model-based explanations for complex natural systems like the water cycle. This study describes a comprehensive evaluation of a 5-year, design-based research project focused on the development, implementation, revision, and testing of an enhanced, model-centered version of the Full Option Science System (FOSS) Water (2005) unit in third grade classrooms. Here, we build upon our previous work (Forbes et al., 2015 a; b; Vo et al., 2015 ; Zangori et al., 2015 ; Zangori et al., 2017 ) by conducting a comparative analysis of student outcomes in two sets of classrooms: (1) one implementing the modeling-enhanced version of the FOSS Water unit developed by the research team (n = 6), and 2) another using the standard, unmodified version of the same curricular unit (n = 5). Results demonstrate that teachers in both conditions implemented the two versions of the curriculum with relative fidelity. On average, students exposed to the modeling-enhanced version of the curriculum showed greater gains in their model-based explanations for the hydrosphere. Engagement in scientific modeling allowed students to articulate hydrologic phenomena by (1) identifying various elements that constitute the hydrosphere, (2) describing how these elements influenced the movement of water in the hydrosphere, and (3) demonstrating underlying processes that govern the movement of water in the hydrosphere.     

The Technology Policy Unit of the University of Aston in Birmingham

The purpose of this research project was to study how students in the first years of elementary school (children from 7 to 10 years of age) are initiated into the construction of explanations of physical phenomena in the teaching of science. With this purpose in mind, we organized classes based on the proposition of investigative problems, where children, working in groups, could solve problems by raising and testing their own hypotheses. They would then attempt, by means of general discussion organized by the teacher, to discuss how each problem was solved and why it worked. We videotaped a series of classes in which the students solved 15 different investigative problems. We also analysed the teacher/student interactions that took place (in this paper, we present data on two of these classes). Based on our data we found that students construct their own causal explanations by following a sequence of stages that includes the appearance of novelties. We also discuss how our data relate to the teacher's role in the classroom and to the organization of science teaching at this level.     

A framework for fostering a community of practice: scaffolding learners through an evolving continuum

This paper proposes a framework of an evolving community of practitioners along a simulation, participation, and codetermined interactions continuum. Simulation, participation, and codetermined interactions are three models of learning, which describe how learners can be brought through a scaffolded process within a community experience. The framework also focuses on the processes rather than on the outcomes or products of a community. In this paper, we describe a case study of a group of heads of Information and Communications Technology (ICT) in schools being scaffolded through an experiential workshop to achieve learning outcomes such as ICT‐based project work (as product) and other constructivist dispositions of learning (as processes). The proposed framework is intended to be sufficiently broad so that learners are supported from simulation to codetermined interactions where autonomy of learners’ co‐construction efforts are encouraged and experienced.     

Supporting linguistically diverse students' science learning with dynamic visualizations through discourse-rich practices

Carefully scaffolded dynamic visualizations have potential to promote science learning for all students, including English language learners (ELLs) who are often underserved in mainstream science classrooms, but little is known about how to design effective scaffolding to support such diverse students' learning with dynamic visualizations. This study investigated how two forms of scaffolding embedded in dynamic visualizations, expert guidance and generating guidance, can foster ELLs' and non-ELLs' understanding of unobservable scientific phenomena. While interacting with dynamic visualizations, students in the expert guidance condition were provided with scientifically accurate explanations to interpret visual representations, whereas students in the generating guidance condition were prompted to generate their own explanations using visual representations. The results show the significant advantage of generating guidance over expert guidance for both ELLs and non-ELLs, although students in the generating guidance condition did not receive feedback on their generated artifacts. Analyses of video data and log data from 40 pairs revealed that each form of scaffolding affected the quantity and quality of linguistically diverse students' conversations. The results show that generating guidance enabled students, particularly ELLs, to engage in discourse-rich practices to evaluate various sources of evidence from the visualization and compare the evidence to their alternative ideas to develop a coherent understanding of the target concepts. This study shows the unique benefits of generating guidance as an effective strategy to support linguistically diverse students' science learning with dynamic visualizations.     

The sharing‐out of nuclear attraction: or ‘I can't think about physics in chemistry’

Pre‐university chemistry students were found to consider that an atomic nucleus gives rise to a certain amount of attractive force which is shared equally among the electrons. Students used this ‘conservation of force’ principle in their explanations of such phenomena as patterns in ionization energy. It is suggested that teachers of chemistry should be aware that although they may be using conventional electrostatic principles in their presentations, their students may be reinterpreting their explanations through this alternative conception. The present research concerns the interface between two scientific disciplines (chemistry and physics) and suggests that learners do not readily integrate their knowledge across such domains. It is mooted that more research into how such demarcations encourage learners to compartmentalize their knowledge may prove fruitful.     

Generative mechanistic explanation building in undergraduate molecular and cellular biology*

ABSTRACT

When conducting scientific research, experts in molecular and cellular biology (MCB) use specific reasoning strategies to construct mechanistic explanations for the underlying causal features of molecular phenomena. We explored how undergraduate students applied this scientific practice in MCB. Drawing from studies of explanation building among scientists, we created and applied a theoretical framework to explore the strategies students use to construct explanations for ‘novel’ biological phenomena. Specifically, we explored how students navigated the multi-level nature of complex biological systems using generative mechanistic reasoning. Interviews were conducted with introductory and upper-division biology students at a large public university in the United States. Results of qualitative coding revealed key features of students’ explanation building. Students used modular thinking to consider the functional subdivisions of the system, which they ‘filled in’ to varying degrees with mechanistic elements. They also hypothesised the involvement of mechanistic entities and instantiated abstract schema to adapt their explanations to unfamiliar biological contexts. Finally, we explored the flexible thinking that students used to hypothesise the impact of mutations on multi-leveled biological systems. Results revealed a number of ways that students drew mechanistic connections between molecules, functional modules (sets of molecules with an emergent function), cells, tissues, organisms and populations.     

Scaffolding Complex Learning: The Mechanisms of Structuring and Problematizing Student Work

There has been much interest in using software tools to scaffold learners in complex tasks, that is, to provide supports that enable students to deal with more complex content and skill demands than they could otherwise handle. Many different approaches to scaffolding techniques have been presented in a broad range of software tools. I argue that two complementary mechanisms can explain how a diversity of scaffolding approaches in software act to support learners. Software tools can help structure the learning task, guiding learners through key components and supporting their planning and performance. In addition, tools can shape students' performance and understanding of the task in terms of key disciplinary content and strategies and thus problematize this important content. Although making the task more difficult in the short term, by forcing learners to engage with this complexity, such scaffolded tools make this work more productive opportunities for learning. I present arguments for these mechanisms in terms of the obstacles learners face, and I present several brief examples to illustrate their use in design guidelines. Finally, I examine how the mechanisms of structuring and problematizing are sometimes complementary and sometimes in tension in design, discuss design tradeoffs in developing scaffolded investigation tools for learners, and consider the reliance of scaffolding on a classroom system of supports.     

Evidence‐Based Strategies for Improving the Reading Comprehension of Secondary Students: Implications for Students with Learning Disabilities

Reading comprehension is a complex skill that places significant demands on students, beginning with elementary school and continuing through the secondary grades. In this article, we provide an overview of possible factors associated with problems in reading comprehension among secondary students with learning disabilities. Discussion underscores the fact that comprehension problems are evidenced by a heterogeneous group of students. We argue that it is important for teachers to align an intervention with a specific area of difficulty (e.g., teaching prefixes and suffixes to increase reading vocabulary). We highlight research‐based interventions advocated by the National Reading Panel and offer ways that teachers can match specific strategies with the individual needs of students with problems in reading comprehension. Finally, we emphasize that whatever strategy is selected, it should be structured, explicit, scaffolded, and intense ( Williams et al., 2005 ).     

Can generating representations enhance learning with dynamic visualizations?

This study explores the impact of asking middle school students to generate drawings of their ideas about chemical reactions on integrated understanding. Students explored atomic interactions during hydrogen combustion using a dynamic visualization. The generation group drew their ideas about how the reaction takes place at the molecular level. The interaction group conducted multiple experiments with the visualization by varying the amount of energy provided to ignite the reaction. The generation group integrated more ideas about chemical reactions and made more precise interpretations of the visualization than the interaction group. Embedded assessments show that generation motivated students to interpret the visualization carefully and led to more productive explanations about ideas represented in the dynamic visualization. In contrast, the interaction group was less successful in linking the visualization to underlying concepts and observable phenomena and wrote less detailed explanations. The study suggests that drawing is a promising way to help students interpret complex visualizations and integrate information. © 2011 Wiley Periodicals, Inc. J Res Sci Teach 48: 1177–1198, 2011     

Learning mathematics from worked-out examples: Analyzing and fostering self-explanations

Recent research has shown that learning from worked-out examples is of major importance for initial skill acquisition in well-structured domains such as mathematics. However, only those learners who actively process the presented examples profit noticeably from this learning mode. Specifically, the learning outcomes depend on how well the learners explain the solution steps presented in the examples to themselves (‘self-explanation effect”). In a series of studies on learning mathematics from examples, learners’ spontaneous self-explanations and instructional means used to encourage self-explanations were investigated. In this research, the following main findings were obtained. Most learners were rather passive with respect to their spontaneous self-explanations. Among the active and successful learners, two subgroups employing different self-explanation styles could be identified. With regard to the instructional means used to induce effective example processing, it turned out that to employ “learning by teaching” in order to stimulate explanation activities was of very limited use. Attempts to directly train for or elicit certain types of self-explanations were more successful. However, even in the latter case, self-explanations had inherent deficits (e.g., proneness to errors). Thus, we sought to design learning arrangements that try to integrate self-explanations with well-timed and well-adapted instructional explanations (e.g., from tutors) in order to enhance students’ problem-solving skills.     

Supporting the development of science inquiry skills with special classes of software

Computers have been used with science learners to teach facts, aid in information processing, facilitate problem solving, and stimulate conceptual change. The hallmark of science learning, however, is independent student inquiry. Although there is ample evidence that computers can support various aspects of students' inquiry activities, such as conducting virtual experiments and visualizing data, there has been limited discussion of how certain classes of software can facilitate learners' development, over time, from simple to sophisticated forms of inquiry. This theory-based article describes how data analysis tools, simulations, and modeling software, when used in the proper instructional contexts, provide young learners with rich intellectual environments for inquiry. Arguments from the research literature support claims that even the youngest elementary school learners have the capacity to engage in inquiry, and that special classes of software can stimulate these capacities and aid the transition from identifying basic patterns in data to conducting systematic experiments and constructing viable models of natural phenomena.     

The unexamined student is not worth teaching: preparation,the zone of proximal development,and the Socratic Model of Scaffolded Learning

‘Scaffolded learning’ describes a cluster of instructional techniques designed to move students from a novice position toward greater understanding, such that they become independent learners. Our Socratic Model of Scaffolded Learning (‘SMSL’) includes two phases not normally included in discussions of scaffolded learning, the preparatory and problematizing phases. Our article will illuminate this blind spot by arguing that these crucial preliminary elements ought to be considered an integral part of a scaffolding model. If instructors are cognizant of the starting position of students, then students are more likely to develop a proper sense of autonomy. We turn, then, to examples from Socrates, the archetypal teacher, that cast light on the importance of preparation and problematizing for the student. Finally, we address the concern that integrating these preliminary elements into scaffolded learning would unnecessarily complicate a useful and effective pedagogical method. Ultimately, if it is effective and autonomous learners we wish to cultivate in the classroom, then something like SMSL must include preliminary elements that calibrate the instructor’s approach to the members of the class. After all, the unexamined student is not worth teaching.     

Individualising scaffolding: teachers' literacy interruptions of ethnic minority students and students from low socioeconomic backgrounds

This paper describes a small‐scale study that examined the ways four elementary teachers in the United States scaffolded the literacy of students differently through interruptions. One thousand four hundred and ninety‐eight interruptions were identified and coded in the study. Findings show that teachers' interruption patterns frequently conflicted with or undermined their planned and voiced approaches to literacy instruction. The interruption patterns in this study indicated that some teachers' interactions with the ethnic minority students and students from low socioeconomic backgrounds, while somewhat individualised, had unrecognised patterns which focused these children on phonics and accuracy as opposed to comprehension and meaning. These patterns supported a more passive approach to literacy that replicates and reproduces class and race structures of society.     

A Multiliteracies Pedagogy: Exploring Semiotic Possibilities of a Disney Video in a Third Grade Diverse Classroom

Disney videos are used across the US as important materials for teaching language arts and literacy in elementary schools. However, how pupils make meaning of the videos has not been sufficiently investigated in educational research. Twenty-five third-grade pupils were taught comprehension skills using Sleeping Beauty. The students created their understanding in visual images. Their drawings and explanations were analyzed using a social semiotic theory. The findings indicated that the students’ interpretations of Sleeping Beauty were not a decontextualized practice; rather, they used the specificity of their gender, social-cultural experiences and available multimodal resources at their disposal to construct interpretations of the video. The implications of the findings were discussed.     

A case study of collaboration with multi-robots and its effect on children's interaction

Learning how to carry out collaborative tasks is critical to the development of a student's capacity for social interaction. In this study, a multi-robot system was designed for students. In three different scenarios, students controlled robots in order to move dice; we then examined their collaborative strategies and their behavioral interactions. The following three scenarios were used: three students to three robots, three students to two robots, and two students to three robots. The experimental samples comprised sixth-grade students in elementary schools, 16 groups in total, and each group comprised three students. The results revealed three collaborative strategies for solving problems that emerged from the three scenarios: (1) independent-control (like cooperation), (2) mutual-control (like collaboration), and (3) coordinator-directed (like collaboration with coordinator). This study also found that students completed a task better with the least required time when they adopted the mutual-control strategy. In addition, coordination in the mutual-control and coordinator-directed strategies was generally regarded as helpful to task completion. With respect to behavioral interactions, students understood the importance of coordination yet still recognized that the skill of negotiation had to be learned. Our results suggest that the mutual-control and coordinator-directed collaborative strategy increased the frequency of task related interactions. Because collaboration inevitably entails conflicts, we should guide students not only in preventing these conflicts but also in learning how to cope with conflict and communicate and coordinate with others. By working together, learners had to figure out how to reduce conflicts, which was both a benefit to the completion of their collaborative tasks and an important skill for their socialization.     

A Technology‐Enhanced Unit of Modeling Static Electricity: Integrating scientific explanations and everyday observations

What trajectories do students follow as they connect their observations of electrostatic phenomena to atomic‐level visualizations? We designed an electrostatics unit, using the knowledge integration framework to help students link observations and scientific ideas. We analyze how learners integrate ideas about charges, charged particles, energy, and observable events. We compare learning enactments in a typical school and a magnet school in the USA. We use pre‐tests, post‐tests, embedded notes, and delayed post‐tests to capture the trajectories of students’ knowledge integration. We analyze how visualizations help students grapple with abstract electrostatics concepts such as induction. We find that overall students gain more sophisticated ideas. They can interpret dynamic, interactive visualizations, and connect charge‐ and particle‐based explanations to interpret observable events. Students continue to have difficulty in applying the energy‐based explanation.     

Socioeconomic status and health in adolescents: the role of stress interpretations

The role of psychological interpretations in the relationship between low socioeconomic status (SES) and physiological responses was tested. One hundred high school students (ages 15–19) watched videos of ambiguous and negative life situations, and were interviewed about their interpretations. Lower SES was associated with greater threat interpretations during ambiguous (but not negative) situations and with greater diastolic blood pressure and heart rate reactivity. Threat interpretations partially mediated relationships between SES and reactivity. General life events (e.g., lack of positive life events), rather than specific life events (e.g., exposure to violence), partially explained the relationship between low SES and threat interpretations. Results suggest that the larger social environment helps explain how adolescents approach new social situations, which in turn has implications for adolescent physical health.