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Many studies investigating inquiry learning in science domains have appeared over the years. Throughout this period, inquiry learning has been regularly criticized by scholars who favor direct instruction over inquiry learning. In this vein, Zhang, Kirschner, Cobern, and Sweller (2022) recently asserted that direct instruction is overall superior to inquiry-based instruction and reproached policy makers for ignoring this fact. In the current article we reply to this assertion and the premises on which it is based. We review the evidence and argue that a more complete and correct interpretation of the literature demonstrates that inquiry-based instruction produces better overall results for acquiring conceptual knowledge than does direct instruction. We show that this conclusion holds for controlled, correlational, and program-based studies. We subsequently argue that inquiry-based and direct instruction each have their specific virtues and disadvantages and that the effectiveness of each approach depends on moderating factors such as the learning goal, the domain involved, and students' prior knowledge and other student characteristics. Furthermore, inquiry-based instruction is most effective when supplemented with guidance that can be personalized based on these moderating factors and can even involve providing direct instruction. Therefore, we posit that a combination of inquiry and direct instruction may often be the best approach to support student learning. We conclude that policy makers rightfully advocate inquiry-based instruction, particularly when students’ investigations are supplemented with direct instruction at appropriate junctures.

Many studies investigating inquiry learning in science domains have appeared over the years. Throughout this period, inquiry learning has been regularly criticized by scholars who favor direct instruction over inquiry learning. In this vein, Zhang, Kirschner, Cobern, and Sweller (2022) recently asserted that direct instruction is overall superior to inquiry-based instruction and reproached policy makers for ignoring this fact. In the current article we reply to this assertion and the premises on which it is based. We review the evidence and argue that a more complete and correct interpretation of the literature demonstrates that inquiry-based instruction produces better overall results for acquiring conceptual knowledge than does direct instruction. We show that this conclusion holds for controlled, correlational, and program-based studies. We subsequently argue that inquiry-based and direct instruction each have their specific virtues and disadvantages and that the effectiveness of each approach depends on moderating factors such as the learning goal, the domain involved, and students' prior knowledge and other student characteristics. Furthermore, inquiry-based instruction is most effective when supplemented with guidance that can be personalized based on these moderating factors and can even involve providing direct instruction. Therefore, we posit that a combination of inquiry and direct instruction may often be the best approach to support student learning. We conclude that policy makers rightfully advocate inquiry-based instruction, particularly when students' investigations are supplemented with direct instruction at appropriate junctures.

Despite its proven added value, modeling-based learning (MbL) in science is not commonly incorporated into the early grades. Our purpose in this descriptive case study was to enrich our understanding of how kindergarten children enact MbL by examining these children's constructed models and their accompanying oral descriptions of their models. For this purpose, we adopted a drawing-based modeling approach in which children used annotated drawings to represent their models. The participants consisted of four groups of 5- to 6-year-olds (68 children total) who studied the solution of substances in water. We analyzed child-developed models (artifact analysis) and their oral presentations (discourse analysis), seeking to provide rich, detailed descriptions of the characteristics of these models. Our findings suggest that children in the study developed five different types of models using three different depiction strategies. Our findings also suggest that when developing and presenting their models of a physical phenomenon, our kindergarten children tended to rely on analogical reasoning to identify similar, known situations corresponding to the phenomenon under study. They then invoked mechanistic reasoning to develop representations of the phenomenon under study based on the analogy they used. The spectrum of mechanistic reasoning used by the children, and the analysis of the structure and components of their constructed models serve as evidence suggesting that despite their limited experiences with formal science education, as well as with MbL in science, participating children could successfully engage in authentic MbL activities. We contend that this is aligned with the idea of modeling resources, suggesting that it is more productive to help children to develop more reliable access to modeling resources they already have, even though they are usually not aware of their connection to MbL, such as prior scientific knowledge, experience, and MbL skills.

We extended research on scaffolds for formulating scientific hypotheses, namely the Hypothesis Scratchpad (HS), in the domain of relative density. The sample comprised of secondary school students who used three different configurations of the HS: Fully structured, containing all words needed to formulate a hypothesis in the domain of the study; partially structured, containing some words; unstructured, containing no words. We used a design with two different measures of student ability to formulate hypotheses (targeted skill): A global, domain-independent measure, and a domain-specific measure. Students used the HS in an intervention context, and then, in a novel context, addressing a transfer task. The fully and partially structured versions of the HS improved the global measure of the targeted skill, while the unstructured version, and to a lesser extent, the partially structured version, favored student performance as assessed by the domain-specific measure. The partially structured solution revealed strengths for both measures of the targeted skill (global and domain-specific), which may be attributed to its resemblance to completion problems (partially worked examples). The unstructured version of the HS seems to have promoted schema construction for students who revealed an improvement of advanced cognitive processes (thinking critically and creatively). We suggest that a comprehensive assessment of scaffolding student work when formulating hypotheses should incorporate both global and domain-specific measures and it should also involve transfer tasks.

Designing and implementing online or digital learning material is a demanding task for teachers. This is even more the case when this material is used for more engaged forms of learning, such as inquiry learning. In this article, we give an informed account of Go-Lab, an ecosystem that supports teachers in creating Inquiry Learning Spaces (ILSs). These ILSs are built around STEM-related online laboratories. Within the Go-Lab ecosystem, teachers can combine these online laboratories with multimedia material and learning apps, which are small applications that support learners in their inquiry learning process. The Go-Lab ecosystem offers teachers ready-made structures, such as a standard inquiry cycle, alternative scenarios or complete ILSs that can be used as they are, but it also allows teachers to configure these structures to create personalized ILSs. For this article, we analyzed data on the design process and structure of 2414 ILSs that were (co)created by teachers and that our usage data suggest have been used in classrooms. Our data show that teachers prefer to start their design from empty templates instead of more domain-related elements, that the makeup of the design team (a single teacher, a group of collaborating teachers, or a mix of teachers and project members) influences key design process characteristics such as time spent designing the ILS and number of actions involved, that the characteristics of the resulting ILSs also depend on the type of design team and that ILSs that are openly shared (i.e., published in a public repository) have different characteristics than those that are kept private.

The study aimed at examining preservice elementary teachers' inquiry-oriented curriculum materials in an attempt to unravel their pedagogical design capacity (PDC) and pedagogical content knowledge (PCK) for inquiry-based learning (IBL), after attending a professional development program (PDP) centered around inquiry-based teaching and learning. In so doing, we identified the PCK for IBL dimensions (e.g., integration of inquiry within teachers' curriculum designs and evaluation of student learning) underpinning their curriculum materials and for each dimension, we aimed at finding the characteristics of the teachers' curriculum materials and capturing their PCK and PDC concerning that particular dimension. The participants were 44 preservice elementary school teachers enrolled in a PDP that was organized in four phases. In each phase, the teachers were assigned to a different role, namely, teachers as learners (Phase 1), teachers as thinkers (Phase 2), teachers as curriculum designers (Phase 3), and teachers as reflective practitioners (Phase 4). The data sources involved mainly teachers' curriculum materials that were analyzed with the use of grounded theory methodology and the constant comparative method. The data analysis revealed that the teachers' curriculum materials were developed along five PCK for IBL dimensions. Moreover, a number of characteristics of the teachers' curriculum materials were identified for each one of these dimensions, which in turn were clustered along three levels of increased sophistication and revealed our teachers' PDC per dimension. We also managed to identify three different PCK for IBL profiles. Finally, the findings indicate that, even though our preservice teachers attended our specially designed PDP, they have conceptualized in diverse ways the underlying principles of IBL.

The use of inquiry-based learning (IBL) is encouraged in schools, as it has been shown to be an effective method for raising students' motivation in STEM subjects and increasing their understanding of scientific concepts. Nevertheless, IBL is not very often used in classrooms by teachers due to different (perceived) obstacles. Within the Ark of Inquiry project, teacher training sessions were designed that enabled the teachers to experience IBL from different perspectives: Teacher as a learner, teacher as a thinker, and teacher as a reflective practitioner. We expected that the trainings would have an impact on teachers' sense of efficacy (TE), which has been shown to be positively related to teachers' readiness to adopt new teaching methods, and their attitudes toward IBL. Four hundred and ninety-seven teachers from 10 countries were involved in the study. We found that teachers' higher sense of efficacy was related to more positive attitudes toward IBL before the training. The teacher training sessions had a positive effect on the Student Engagement Subscale of TE (d = 0.16) and attitudes toward IBL. The strongest positive effects on attitudes were related to the perceived available resources for teaching inquiry (d = 0.36) and inquiry being suitable for motivating different students (d = 0.28). However, the training did not impact how teachers perceive systemic restrictions. The study concludes that this kind of teacher training can be a suitable method of boosting TE and overcoming some perceived obstacles for adopting IBL in the classroom.

This study aimed to investigate whether the presence (when using physical manipulatives [PMs]) or absence (when using virtual manipulatives [VMs]) of haptic sensory feedback (i.e., open‐ended haptic manipulation of physical materials with the use of the hands) during experimentation can impact preschoolers' conceptual understanding of concepts concerning three different subject domains (i.e., balance beam, sinking/floating, and springs). The participants were 132 preschoolers (5–6 years old), 44 per subject domain, who were equally divided into two conditions differing in the means of experimentation (PM or VM) they used. The data of this exploratory study were collected through clinical interviews and analyzed both qualitatively and quantitatively. The findings indicated that preschoolers' mean score improved in both conditions for each subject domain, (probably) as a result of their participation in the experimentation phase of the interviews, across all domains and conditions. No statistically significant difference in preschoolers' learning between the two conditions was found in the balance beam domain. In the sinking/floating domain, VM were found to be more conducive to preschoolers' learning than PM, whereas in the springs domain PM were found to have enhanced preschoolers' learning more than VM did. These findings have important implications for science teaching and learning in the early childhood years. First, we provide information on when PM or VM is conducive to kindergarteners' science learning. Second, we report on how prior embodied knowledge, established through haptic sensory input and related to the task at hand, affects learning through PM or VM experimentation. [ABSTRACT FROM AUTHOR]

We examined student performance in a computer-supported learning environment after students undertook, among others, a graphing task within an inquiry context. Students were assigned in two conditions: (a) Students were given one variable, and they had to select the second one to construct their graph; (b) students were given four variables, and they had to select two to construct their graph. Both conditions problematized student work by triggering retrospective action, where students returned to previous stages of the learning activity sequence. Retrospective action correlated positively to knowledge gains in Condition 2, where students were more likely to revisit earlier stages of their inquiry. Time-on-task, when students passed through learning tasks for the first time, correlated negatively with retrospective action (second pass), which indicated that there was a minimum amount of time needed to effectively execute tasks. Trade-offs between time-on-task (first pass) and retrospective action demarcate a novel field of research.

Toward the end of 6th grade, some bright and highly motivated science-oriented Israeli students and their parents are required to make a decision: whether or not to enrol in a non-mandatory advanced science programme for 7th graders ([almost equal to] 12 year olds) upon entering middle-school. In other words, for many students, entry into the STEM pipeline begins at an earlier age than previously reported and, to date, reasons for doing so are unknown. The aim of this study was to identify and model the factors that contributed to enrolment. Data collected from 7th graders in three Israeli middle-schools (N=615) included self-efficacy and interest in STEM learning, perceived parental encouragement to learn STEM, perceived peer interest in STEM, recollections of STEM learning in primary schools and participation in informal STEM programmes. Path analysis showed that 'self-efficacy', 'parents', 'peers' and 'participation' directly predicted enrolment. Self-efficacy mediated the effects of environmental variables on academic choice. The significant effect of participation in informal STEM programmes points toward an even earlier entry into the STEM pipeline. Quantitative content analysis was used to categorise the reasons for enrolling in the advanced science programmes (N=179). Unexpectedly, students overwhelmingly cited practical importance ('utility value') vis-à-vis short, medium and long-term goals.

On completing middle-school (ninth grade), Israeli students must choose which discipline(s) to major in upon entering high school. This study, grounded in Expectancy-Value Theory (EVT), identified and modeled the factors that contributed to students' academic choices from their own subjective perspectives. We collected qualitative and quantitative data from ninth graders in two urban middle-schools (n=295) at the school year's end. We found that (a) most students cited interest and utility value as their main motivations for choosing a science, technology, engineering, and mathematics (STEM) major, expectancies were mentioned less; (b) students who chose a STEM major had statistically significant higher scores for EVT's key predictor variables (personal attributes, "subjective task value," "expectation of success," perceived effects of environmental factors) than their counterparts who majored in non-STEM disciplines; (c) the positive perceptions of their peers' interest and ability in science contributed significantly to students' choice to major in STEM disciplines; and (d) no significant gender differences re academic choice were found. One highly unexpected finding emerged: Participation in advanced science programs for highly qualified students ("ability grouping with curriculum differentiation") was by far the most significant factor in the choice to major in STEM disciplines. This finding has major implications for science education policy and practice.

The present study employed a quasi-experimental design to assess a computer-based tool, which was intended to scaffold the task of designing experiments when using a virtual lab for the process of experimentation. In particular, we assessed the impact of this tool on primary school students' cognitive processes and inquiry skills before and after the study's treatment, using pre- and post-tests. Our research design involved a group of students who used the computer-based tool/scaffold to design the study's experiments (experimental condition) and a group of students who used a paper-and-pencil worksheet as a scaffold to design the same experiments (control condition). The primary finding of the study was that the use of the computer-based experiment design tool had a more positive effect on students' inquiry skills related to identifying variables and designing investigations than the paper-and-pencil one. This might be attributed to the functionalities provided only by the computer-based experiment design tool, which enabled students to focus their attention on crucial aspects of the task of designing experiments through (1) maintaining values for constant variables when planning experimental trials and (2) the provision of instant feedback when classifying variables into independent, dependent and controlled variables. Moreover, students in the two conditions displayed differing patterns of interactions among cognitive process and inquiry skills. Implications for designing and assessing similar computer-based scaffolds are discussed.

The purpose of this study was to examine the impact of mobile learning among young learners. Specifically, we investigated whether the use of mobile devices for data collection during field trips outside the classroom could enhance fourth graders' learning about the parts of the flower and their functions, flower pollinators and the process of pollination/fertilization, and the interrelationship between animals and plants, more than students' use of traditional means of data collection. For this purpose, we designed a pre-post experimental design study with two conditions: one in which participants used a mobile device for data collection and another using traditional means (e.g. sketching and note-taking). The sample comprised 48 fourth graders (24 in each condition), who studied the flower, its parts, and their functions. A conceptual test was administered to assess students' understanding before and after instruction. Moreover, the students' science notebooks and accompanying artifacts were used as a data source for examining students' progress during the study's intervention. The conceptual test and notebook data were analyzed statistically, whereas we used open coding for the artifacts. Findings revealed that using mobile devices for data collection enhanced students' conceptual understanding more than using traditional means of data collection.

The aim of this review is to identify specific types of guidance for supporting student use of online labs, that is, virtual and remote labs, in an inquiry context. To do so, we reviewed the literature on providing guidance within computer supported inquiry learning (CoSIL) environments in science education and classified all identified guidance according to a recent taxonomy of types of guidance. In addition, we classified the types of guidance in phases of inquiry. Moreover, we examined whether the types of guidance identified for each inquiry phase were found to be effective in promoting student learning, as documented in the CoSIL research. This review identifies what types of effective guidance currently exist and can be applied in developing future CoSIL environments, especially CoSIL environments with online labs. It also highlights the needs/shortcomings of these available types of guidance. Such information is crucial for the design and development of future CoSIL environments with online labs.

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.

This study investigates whether Virtual Manipulatives (VM) within a Physical Manipulatives (PM)-oriented curriculum affect conceptual understanding of electric circuits and related experimentation processes. A pre-post comparison study randomly assigned 194 undergraduates in an introductory physics course to one of five conditions: three experimental conditions with different PM and VM sequences and two control conditions with only PM or VM. Conceptual tests assessed students' understanding. Instructors' journals, video data, and interviews provided process-related data. Results showed interplay between manipulative and circuit types. For simple circuits, PM and VM use similarly impacted students' understanding. However, VM better facilitated understanding than PM for complex circuits: PM users, unlike VM users, encountered process-related problems that prevented development of an appropriate conceptual model because only VM afforded a view of current-flow. When students used VM before PM for complex circuits, they developed the appropriate conceptual model to use in the PM phase.