Louca, Loucas T.

In this paper we investigate the ways that a graphical and a textual Computer-based Programming Environment (CPE) support student inquiry in science during scientific modeling. We analyzed the conversations of 78 sixth-graders (39 students per CPE group) that took place during the construction of models, as well as, student-constructed models specifically looking for ways that CPEs support student scientific inquiry. Our findings showed that CPEs enable students to develop models of physical phenomena and operationally define physical entities and physical properties, which provides students with a commonly shared language for communicating and understanding each others' ideas in science. We also found that programs in CPEs produce a computer microworld that is a structured environment learners can use to explore and manipulate a rule-generated universe, subject to particular assumptions and constraints that serve as representations of aspects of the natural world. Microworlds can also provide learners with opportunities to manipulate realities in ways that learners cannot do with physical objects. Implications from this study suggest productive features for computer-based tools that can be embedded in web-based learning platforms for supporting students' inquiry and science learning.

The first aim of this study was to contribute to a growing body of research in teacher-student classroom discourse, by describing, in detail, the discourse "moves" of a teacher during science conversations. Our second aim was to develop an enriched analytic framework that can account for the context, the content and the purpose of the discourse moves identified, arguing for a shift of attention in research toward the process of deciding which discourse move to use, rather than solely their description. We analyzed a total of 930 minutes of whole-class conversations facilitated by an experienced science teacher over two years of elementary science lessons. The findings revealed a repertoire of discourse moves that the teacher chose from during instruction based on the context and the epistemological properties of the student discourse content, supporting our contention for the need of a framework that can describe the nature of those choices.

The purpose of this study was to investigate whole classroom discourse during modeling-based learning in science, seeking to describe the discourse's characteristics, its relation to the micro-context in which it took place and to the student-constructed models, and to ascertain when it becomes productive. Additionally, we aimed to describe how whole classroom modeling discourse in science may be better supported by the teacher as well as the role of the modeling tool. In doing so, we analyzed student conversations and student-constructed models from two groups of 11- to 12-year-old students. All students used a computer programming environment, namely Stagecast Creator, as a modeling tool. Findings revealed three distinct discourse types (modeling frames): (a) (initial) phenomenological description, (b) operationalization of the physical system's story, and (c) construction of algorithms. Finally, we discuss what we consider productive modeling discourse, as well as the contributions of the software and the teacher in this respect.

This is an interpretive case study seeking to develop detailed and comparative descriptions of how two groups of fifth-grade students used two different Computer-based Programming Environments (CPEs) (namely Microworlds Logo and Stagecast Creator) during scientific modelling. The primary sources of data that were used in this 4-month study include videotaped students' group work and whole-class discussions, and the instructors' reflective journals. For the data analysis, contextual inquiry was used in conjunction with analysis of student conversation in order to gain better insight into students' activity and conversation patterns while working with CPEs. Findings highlight the differences in the ways that the students used the two CPEs in the context of developing models of natural phenomena with respect to three distinct phases that emerged from data analysis, which include student approaches to (i) planning, (ii) writing and debugging code, and (iii) using code to represent the phenomenon under study. Lastly, findings highlight which aspects of students work during the three phases can be productive for scientific modelling, proposing possible relationships between student work and CPE features.

The purpose of this study was to develop a framework for analyzing and evaluating student-constructed models of physical phenomena and monitoring the progress of these models. Moreover, we aimed to examine whether this framework could capture differences between models created using different computer-based modeling tools; namely, computer-based programming environments which, in prior research, were found to differ in various aspects of the models constructed through them. We analyzed 220 computer-based models of physical phenomena developed by two groups of elementary-school students. Using open coding we developed a framework that includes five elements of scientific models that code for representations of: (i) the physical objects; (ii) the physical entities; (iii) the object behaviors; (iv) the interactions among physical objects, physical entities, and object behavior(s); and (v) the accuracy of the phenomenon depiction. The implementation of this framework confirmed that it can differentiate student-generated models according to their sophistication and structural components, independent of the computer-based programming environments used to create the models.

Although research has come to recognize the importance of studying classroom-based student-teacher discourse in science, the emphasis remains largely on teachers' abilities to ask questions and provide students with feedback, or on students' abilities to ask questions or engage in argumentative discourse. Consequently, little research has focused on the discourse elements relating to teacher-student discourse interactions. In this article, we argue for a shift of research attention toward describing what the teacher is responding to (Identification of student inquiry), the process of deciding how to respond (Interpretation-Evaluation of student inquiry), and how the teacher is responding (Response to student inquiry). We propose a new methodological approach for studying teacher discourse, which involves a framework we developed while analyzing 1,385 minutes of fifth grade, whole-class science conversations covering a 2-year period and facilitated by an experienced science teacher. Then, as a case in point, we applied our framework to the teacher discourse data of the study, aiming to show that the framework can be a useful tool for examining how a teacher supports students' inquiry.

Models and modeling are considered integral parts of scientific literacy, reflecting educators' efforts to introduce and engage students in authentic scientific inquiry through Modeling-based Learning (MbL) approaches in science. Over the years research has developed a considerable amount of knowledge concerning MbL. Our purpose in this paper was to review this research in order to systematize the knowledge accumulated and to provide an overview of what needs to be investigated further. We also took into account and describe the role of the teacher as part of the review. Our review shows that MbL has made cognitive, metacognitive, social, material and epistemological contributions in science education. Furthermore, it reveals that important information is still missing in order to ensure effective implementations of MbL. Future research needs to focus on investigating the learning processes which take place during MbL which result in improvements in student conceptual and epistemological understanding and abilities for scientific inquiry.

Despite the abundance of research in Modeling-based Learning (MbL) in science education, to date there is only limited research on MbL practices among K-6 novice modelers. More specifically, there is no information on how young/novice modelers’ modeling enactments look so that researchers and educators have an idea of what should be expected from these novice/young modelers while engaged in MbL. Our purpose in this study was to investigate the ways in which K-6 novice modelers can engage in MbL in science, in rich modeling contexts, which feature various modeling media and tools. Using data from a variety of contexts, modeling means and tools and different student ages, we seek to develop, from the ground up, detailed descriptions of the modeling practices that K-6 students follow when involved in MbL. While using the modeling phases (e.g., construction of a model, evaluation of a model), along with their associated practices, as described in the literature for older learners and expert modelers as our basis, we followed ground research approaches to develop the descriptions of student-centered MbL. Our findings revealed that novice modelers enact certain MbL phases in a different manner than those described in the literature for older learners and/or expert modelers. We found that not only do the content and context of the various modeling phases differ, but also the sequence of these modeling phases and their associated practices, are different from those already described in the literature. Finally, we discuss how rich descriptions of MbL discourse can ultimately inform teachers and researchers about ways in which learning in science through MbL can be supported.