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1.
In recent years, science education has placed increasing importance on learners' mastery of scientific reasoning. This growing emphasis presents a challenge for both developers and users of assessments. We report on our effort around the conceptualization, development, and testing the validity of an assessment of students' ability to reason around physical dynamic models in Earth Science. Building from the research literature on analogical mapping and informed by the current perspectives on learning progressions, we present a three‐tiered construct describing the increasing sophistication of students' analogical reasoning around the correspondences and non‐correspondences between models and the Earth System: at the level of entities (Level 1), configurations in space or relative motion of entities (Level 2), and the mechanism or cause for observed phenomena (Level 3). Grounded in a construct‐centered design approach, we describe our process for developing assessments in order to examine and validate this construct, including how we selected topics and models, designed items, and developed outcome spaces. We present the specific example of one assessment centered on moon phases, which was administered to 164 8th and 9th grade Earth Science students as a pre/postmeasure. Two hundred ninety‐four responses were analyzed using a Rasch modeling approach. Item difficulties and student proficiency scores were calculated and analyzed regarding their relative performance with respect to the three levels of the construct. The analysis results provided initial evidence in support of the construct as conceived, with students displaying a range of analogical reasoning spanning all three construct levels. It also identified problematic items that merit further examination. Overall, the assessment has provided us the opportunity to better describe and frame the cognitive uses of models by students during learning situations in Earth Science. Implications for instruction and future directions for research in this area are discussed. © 2012 Wiley Periodicals, Inc. J Res Sci Teach 49: 713–743, 2012  相似文献   

2.
The purpose of this study was to explore relationships among school students' (N = 189) meaningful learning orientation, reasoning ability and acquisition of meaningful understandings of genetics topics, and ability to solve genetics problems. This research first obtained measures of students' meaningful learning orientation (meaningful and rote) and reasoning ability (preformal and formal). Students were tested before and after laboratory-based learning cycle genetics instruction using a multiple choice assessment format and an open-ended assessment format (mental model). The assessment instruments were designed to measure students' interrelated understandings of genetics and their ability to solve and interpret problems using Punnett square diagrams. Regression analyses were conducted to examine the predictive influence of meaningful learning orientation, reasoning ability, and the interaction of these variables on students' performance on the different tests. Meaningful learning orientation best predicted students' understanding of genetics interrelationships, whereas reasoning ability best predicted their achievement in solving genetics problems. The interaction of meaningful learning orientation and reasoning ability did not significantly predict students' genetics understanding or problem solving. Meaningful learning orientation best predicted students' performance on all except one of the open-ended test questions. Examination of students' mental model explanations of meiosis, Punnett square diagrams, and relationships between meiosis and the use of Punnett square diagrams revealed unique patterns in students' understandings of these topics. This research provides information for educators on students' acquisition of meaningful understandings of genetics. © 1996 John Wiley & Sons, Inc.  相似文献   

3.
This study is a methodological-substantive synergy, demonstrating the power and flexibility of exploratory structural equation modeling (ESEM) methods that integrate confirmatory and exploratory factor analyses (CFA and EFA), as applied to substantively important questions based on multidimentional students' evaluations of university teaching (SETs). For these data, there is a well established ESEM structure but typical CFA models do not fit the data and substantially inflate correlations among the nine SET factors (median rs = .34 for ESEM, .72 for CFA) in a way that undermines discriminant validity and usefulness as diagnostic feedback. A 13-model taxonomy of ESEM measurement invariance is proposed, showing complete invariance (factor loadings, factor correlations, item uniquenesses, item intercepts, latent means) over multiple groups based on the SETs collected in the first and second halves of a 13-year period. Fully latent ESEM growth models that unconfounded measurement error from communality showed almost no linear or quadratic effects over this 13-year period. Latent multiple indicators multiple causes models showed that relations with background variables (workload/difficulty, class size, prior subject interest, expected grades) were small in size and varied systematically for different ESEM SET factors, supporting their discriminant validity and a construct validity interpretation of the relations. A new approach to higher order ESEM was demonstrated, but was not fully appropriate for these data. Based on ESEM methodology, substantively important questions were addressed that could not be appropriately addressed with a traditional CFA approach.  相似文献   

4.
In this study, we analyzed the quality of students' written scientific explanations found in notebooks and explored the link between the quality of the explanations and students' learning. We propose an approach to systematically analyzing and scoring the quality of students' explanations based on three components: claim, evidence to support it, and a reasoning that justifies the link between the claim and the evidence. We collected students' science notebooks from eight science inquiry‐based middle‐school classrooms in five states. All classrooms implemented the same scientific‐inquiry based curriculum. The study focuses on one of the implemented investigations and the students' explanations that resulted from it. Nine students' notebooks were selected within each classroom. Therefore, a total of 72 students' notebooks were analyzed and scored using the proposed approach. Quality of students' explanations was linked with students' performance in different types of assessments administered as the end‐of‐unit test: multiple‐choice test, predict‐observe‐explain, performance assessment, and a short open‐ended question. Results indicated that: (a) Students' written explanations can be reliably scored with the proposed approach. (b) Constructing explanations were not widely implemented in the classrooms studied despite its significance in the context of inquiry‐based science instruction. (c) Overall, a low percentage of students (18%) provided explanations with the three expected components. The majority of the sample (40%) provided only claims without any supporting data or reasoning. And (d) the magnitude of the correlations between students' quality of explanations and their performance, were all positive but varied in magnitude according to the type of assessment. We concluded that engaging students in the construction of high quality explanations may be related to higher levels of student performance. The opportunities to construct explanations in science‐inquiry based classrooms, however, seem to be limited. © 2010 Wiley Periodicals, Inc. J Res Sci Teach 47: 583–608, 2010  相似文献   

5.
In this investigation, three classes of ninth-grade general science students participated in a collaborative report-writing intervention. The purpose of this portion of the study was to evaluate students' collaboratively written laboratory reports for evidence of the use of scientific reasoning skills and to document qualitative changes in reasoning skill use over time. The participants in the study were 6 ninth-grade students, representing three collaborative writing pairs. During the intervention, students wrote 10 laboratory reports over a 4.5-month period. The author and classroom teacher designed report guideline prompts to scaffold students in the use of relevant scientific reasoning skills. The results indicated that students used reasoning skills to assess their current models of scientific understanding, make observations, interpret the meaning of results, and generate new models based on their data and relevant information. Participants showed the most improvement in writing that reflected the reasoning skills of (a) selecting and processing textbook passages, (b) drawing conclusions and formulating models, and (c) comparing/contrasting. Over time, participants improved their ability to compose explanations that represented a synthesis of prior knowledge, activity observations, and other sources of information. Collaborative writing encouraged students to construct their own understandings of science concepts by creating an environment in which thinking, reasoning, and discussion were valued.  相似文献   

6.
Argumentation is fundamental to science education, both as a prominent feature of scientific reasoning and as an effective mode of learning—a perspective reflected in contemporary frameworks and standards. The successful implementation of argumentation in school science, however, requires a paradigm shift in science assessment from the measurement of knowledge and understanding to the measurement of performance and knowledge in use. Performance tasks requiring argumentation must capture the many ways students can construct and evaluate arguments in science, yet such tasks are both expensive and resource-intensive to score. In this study we explore how machine learning text classification techniques can be applied to develop efficient, valid, and accurate constructed-response measures of students' competency with written scientific argumentation that are aligned with a validated argumentation learning progression. Data come from 933 middle school students in the San Francisco Bay Area and are based on three sets of argumentation items in three different science contexts. The findings demonstrate that we have been able to develop computer scoring models that can achieve substantial to almost perfect agreement between human-assigned and computer-predicted scores. Model performance was slightly weaker for harder items targeting higher levels of the learning progression, largely due to the linguistic complexity of these responses and the sparsity of higher-level responses in the training data set. Comparing the efficacy of different scoring approaches revealed that breaking down students' arguments into multiple components (e.g., the presence of an accurate claim or providing sufficient evidence), developing computer models for each component, and combining scores from these analytic components into a holistic score produced better results than holistic scoring approaches. However, this analytical approach was found to be differentially biased when scoring responses from English learners (EL) students as compared to responses from non-EL students on some items. Differences in the severity between human and computer scores for EL between these approaches are explored, and potential sources of bias in automated scoring are discussed.  相似文献   

7.
The purpose of this study was to characterize high school chemistry students' ability to make translations between three representations of the structure of matter, and to determine the degree to which the students' ability to make these translations is related to reasoning ability, spatial reasoning ability, gender, and specific knowledge of the representations. Translation between formula, electron configuration, and ball-and-stick model representations of matter were chosen for study because of their promise for adding to knowledge of students' conceptual ecology, and because they may be of practical use for teaching and evaluation in chemistry classrooms. Representations have the characteristic that they embed selected details of the relevant concept or principle, but permit other details to fade. As one example, the chemical formula for water, H2O, explicitly conveys the identity of the constituent elements and their ratio, but does not explicitly convey the bond angle or whether the bonds are single or double. On the other hand, the ball-and-stick model of water explicitly conveys the bond angle and bond orders, but does not emphasize the ratio of the elements. Translation between representations is an information processing task, requiring understanding of the underlying concept to the extent that the individual can interpret the information provided by the initial representation and infer the details required to construct the target representation. In this study, the use of the translations of representations as an indicator of understanding of chemical concepts is developed in terms of (a) its relationship to four variables associated with achievement in chemistry, (b) specific representation error types, and (c) its utility in revealing details of students' conceptions and concept formation. Translation of representation performance was measured by administering, audio recording, transcribing, and scoring individual, task-based, think-aloud interviews. The associated interview schedule was entitled Translation of Representations—Structure of Matter [TORSOM]. Reasoning ability was measured by the Group Assessment of Logical Thinking—short form (GALT-s), spatial reasoning ability by the spatial reasoning subtest of the Differential Abilities Test (SRDAT), and prior knowledge of the representations by a test developed by the first researcher (Knowledge of Representations—Structure of Matter). When each of the hypothetical correlates were regressed on TORSOM individually, results indicated the KORSOM and GALT-s but not gender or SRDAT were statistically significant (alpha = .05). The two-predictor model accounts for 28% of the variance in the TORSOM scores. Representation error types are described and exemplified.  相似文献   

8.
A new approach to moral education using blended learning has been developed. This approach involves 10 scenarios that are designed as a web-based game and serves as a basis for group moral-consequence-based reasoning, which is developed based on a hypothetical-deductive model. The aim of the study was to examine the changes in students' blended learning interest and reasoning ability in a time series experimental design. After playing the game with the 10 initial scenarios during the first week of the study, participants were subjected to five blended learning sessions that required them to discuss the consequences of one of the 10 scenarios using hypothetical-deductive reasoning. After six weeks, the data from the 110 participants were analyzed using time series statistics. The results indicated that players were highly interested in the game, although their interest had a tendency to decrease slightly over time. Repetitive game play (i.e. practice) was positively associated with the players' moral reasoning performance. The study results may lend support to the design of a game with additional or more highly complex content for players to further develop students' consequential reasoning ability.  相似文献   

9.
This study explored the understandings of data and measurement that school students draw upon, and the ways that they reason from data, when carrying out a practical science inquiry task. The two practical tasks used in the study each involved investigations of the relationships between two independent variables (IVs) and a dependent variable (DV); in both tasks, one IV covaried with the DV, whereas the other did not. Each was undertaken by 10 students, aged 10, 12, and 14 years (total n = 60 students), working individually. Their actions were video‐recorded for analysis. In a subsequent interview, each student was asked to discuss and interpret data collected by two other students, undertaking a similar (but different) practical task, shown on a video‐recording. An analysis of the sample students' performance on the practical tasks and their interview responses showed few differences across task contexts, or with age, in students' reasoning, but significant differences in performance when investigating situations of covariation and non‐covariation. Few students in the sample displayed sufficient understanding of measurement error to deal effectively with the latter. Investigations of non‐covariation cases revealed, much more clearly than investigations of covariation cases, the students' ideas about data and measurement, and their ways of reasoning from data. Such investigations therefore provide particularly valuable contexts for teaching and research. © 2004 Wiley Periodicals, Inc. J Res Sci Teach 41: 748–769, 2004  相似文献   

10.
This study investigated students' achievement regarding photosynthesis and respiration in plants in relation to reasoning ability, prior knowledge and gender. A total of 117 eighth‐grade students participated in the study. Test of logical thinking and the two‐tier multiple choice tests were administered to determine students' reasoning ability and achievement, respectively. An analysis of covariance (ANCOVA) was conducted to assess the effect of reasoning ability on students' achievement. The independent variable was the reasoning ability (low, medium, high), the dependent variable was the scores on the two‐tier test. Students' grades in science in previous year were used as a covariate. Analysis revealed a statistically significant mean difference between students at high and low formal levels with respect to achievement. Stepwise multiple regression analysis revealed that reasoning ability, prior knowledge and gender were significant predictors of students' achievement in photosynthesis and respiration in plants, explaining 42% of the variance.  相似文献   

11.
This study compares 183 high school chemistry students' applied and theoretical knowledge of selected concepts based on the particulate theory. The concepts are dissolution, diffusion, effusion, and states of matter. A two-form instrument called the Physical Changes Concepts Test (PCCT) was developed for this study. The application form measures students' knowlege using everyday language. The theoretical form measures students' knowledge using scientific language. Students' formal reasoning ability was measured using the Test Of Logical Thinking (TOLT). The overall results of the two forms of the PCCT indicate that more than 40% of the students displayed alternative conceptions (ACs) of the concepts covered in the PCCT. The study found that students' formal reasoning ability and their preexisting knowledge are associated with their conceptions and use of the particulate theory. The analysis of the nature of students' ACs and their use of the particulate theory revealed a significant difference between students' applied and theoretical knowledge.  相似文献   

12.

This study examined senior high school students' cognitive orientation toward scientific or social information, designated as information preference, and associated preferential reasoning modes when presented with an environmental issue concerning nuclear energy usage. The association of the information preference variable with some academic and personal background attributes of the participants was also examined. A questionnaire, preference survey test and interview methods were used to gather the data. Students' preference test scores fell within -0.66 to 2 on a scale of -4 (social orientation) to 4 (scientific orientation). Statistical analyses showed that students' performance in science was a good predictor of the information preference exhibited by students. Interview content analysis showed that students' preferences and reasoning modes were mutually consistent. Particularly, subjects of neutral preference, whose preference scores fell between 0 and 1, displayed a reasoning mode that is considerably integrated containing references to both scientific and socially relevant content.  相似文献   

13.
Previous research has demonstrated the potential of examining log-file data from computer-based assessments to understand student interactions with complex inquiry tasks. Rather than solely providing information about what has been achieved or the accuracy of student responses (product data), students' log files offer additional insights into how the responses were produced (process data). In this study, we examined students' log files to detect patterns of students' interactions with computer-based assessment and to determine whether unique characteristics of these interactions emerge as distinct profiles of inquiry performance. Knowledge about the characteristics of these profiles can shed light on why some students are more successful at solving simulated inquiry tasks than others and how to support student understanding of scientific inquiry through computer-based environments. We analyzed the Norwegian PISA 2015 log-file data, science performance as well as background questionnaire (N = 1,222 students) by focusing on two inquiry tasks, which required scientific reasoning skills: coordinating the effects of multiple variables and coordinating theory and evidence. Using a mixture modeling approach, we identified three distinct profiles of students' inquiry performance: strategic, emergent, and disengaged. These profiles revealed different characteristics of students' exploration behavior, inquiry strategy, time-on-task, and item accuracy. Further analyses showed that students' assignment to these profiles varied according to their demographic characteristics (gender, socio-economic status, and language at home), attitudes (enjoyment in science, self-efficacy, and test anxiety), and science achievement. Although students' profiles on the two inquiry tasks were significantly related, we also found some variations in the proportion of students' transitions between profiles. Our study contributes to understanding how students interact with complex simulated inquiry tasks and showcases how log-file data from PISA 2015 can aid this understanding.  相似文献   

14.
This study examined 10th‐grade students' use of theory and evidence in evaluating a socio‐scientific issue: the use of underground water, after students had received a Science, Technology and Society‐oriented instruction. Forty‐five male and 45 female students from two intact, single‐sex, classes participated in this study. A flow‐map method was used to assess the participants' conceptual knowledge. The reasoning mode was assessed using a questionnaire with open‐ended questions. Results showed that, although some weak to moderate associations were found between conceptual organization in memory and reasoning modes, the students' ability to incorporate theory and evidence was in general inadequate. It was also found that students' reasoning modes were consistent with their epistemological perspectives. Moreover, male and female students appear to have different reasoning approaches.  相似文献   

15.
The primary goal of this study was the broad assessment and modeling of scientific reasoning in elementary school age. One hundred fifty-five fourth graders were tested on 20 recently developed paper-and-pencil items tapping four different components of scientific reasoning (understanding the nature of science, understanding theories, designing experiments, and interpreting data). As confirmed by Rasch analyses, the scientific reasoning items formed a reliable scale. Model comparisons differentiated scientific reasoning as a separate construct from measures of intelligence and reading skills and revealed discriminant validity. Furthermore, we explored the relationship between scientific reasoning and the postulated prerequisites inhibitory control, spatial abilities and problem-solving skills. As shown by correlation and regression analyses, beside general cognitive abilities (intelligence, reading skills) problem-solving skills and spatial abilities predicted performance in scientific reasoning items and thus contributed to explaining individual differences in elementary school children's scientific reasoning competencies.  相似文献   

16.
Abstract. The author examined the effectiveness of training in symbolic logic for improving students' deductive reasoning. A total of 116 undergraduate students (approximately equal numbers of men and women) enrolled in 1st-year university philosophy courses in symbolic logic participated in 2 studies. In both studies, students completed booklets of categorical and conditional syllogisms at the beginning of the course and again at the end of the course. In Study 2, students also specified their reasoning strategies. Results indicated that students' strategies changed with training (students increased their use of mental models and mental rules with categorical and conditional syllogisms, respectively), but their reasoning performance improved only moderately. The educational implications of these results are explored.  相似文献   

17.
Students in a large one-semester nonmajors college biology course were classified into one of three groups (intuitive—I, transitional—T, reflective—R) based upon a pretest of scientific reasoning ability. Laboratory teams of two students each then were formed, such that all possible combinations of reasoning abilities were represented (i.e., I-I, I-T, I-R, T-T, T-R, R-R). Students worked with their assigned partners during each of the course's 14 laboratory sessions. Gains in reasoning ability, laboratory achievement, and course achievement, as well as changes in students' opinions of their motivation, enjoyment of the laboratory, and their own and their partner's reasoning abilities were assessed at the end of the semester. Significant pre- to posttest gains in reasoning ability by the intuitive and transitional students were found, but these gains were not significantly related to the laboratory partner's reasoning ability. Also, course achievement was not significantly related to the laboratory partner's reasoning ability. Students were perceptive of others' reasoning ability; the more able reasoners were generally viewed as being more motivated, having better ideas, and being better at doing science. Additional results also indicated that course enjoyment and motivation was significantly decreased for the transitional students when they were paired with intuitive students. Apparently, for students in transition (i.e., not at an equilibrium state with regard to reasoning level), it is frustrating to work with a less able reasoner. However, some evidence was found to suggest that reflective students may benefit from working with a less able partner.  相似文献   

18.
Cognitive theory suggests that a key to expert performance lies in the internal organization of the expert's knowledge. The authors contend that the type of technical illustration used during instruction influences knowledge organization and greatly impacts students' understanding of the content. This paper describes an experimental study that tested the impact of one type of conceptual illustration on students' understanding of the structure, function, and behavior of complex technical systems. The results show that supplementing traditional technical instruction with functional flow diagrams can improve overall system understanding. The functional flow diagrams were also found to be an effective instructional aid for enhancing students' conceptual understanding of the causal behavior of systems. In addition, the use of the functional flow diagram was found to significantly improve the subjects' ability to construct conceptual models that were similar to those of an expert. The implications of using conceptual diagrams for technical instruction are discussed and recommendations for future research in this area are provided.  相似文献   

19.
In recent years, there has been a strong push to transform STEM education at K-12 and collegiate levels to help students learn to think like scientists. One aspect of this transformation involves redesigning instruction and curricula around fundamental scientific ideas that serve as conceptual scaffolds students can use to build cohesive knowledge structures. In this study, we investigated how students use mass balance reasoning as a conceptual scaffold to gain a deeper understanding of how matter moves through biological systems. Our aim was to lay the groundwork for a mass balance learning progression in physiology. We drew on a general models framework from biology and a covariational reasoning framework from math education to interpret students' mass balance ideas. We used a constant comparative method to identify students' reasoning patterns from 73 interviews conducted with undergraduate biology students. We helped validate the reasoning patterns identified with >8000 written responses collected from students at multiple institutions. From our analyses, we identified two related progress variables that describe key elements of students' performances: the first describes how students identify and use matter flows in biology phenomena; the second characterizes how students use net rate-of-change to predict how matter accumulates in, or disperses from, a compartment. We also present a case study of how we used our emerging mass balance learning progression to inform instructional practices to support students' mass balance reasoning. Our progress variables describe one way students engage in three dimensional learning by showing how student performances associated with the practice of mathematical thinking reveal their understanding of the core concept of matter flows as governed by the crosscutting concept of matter conservation. Though our work is situated in physiology, it extends previous work in climate change education and is applicable to other scientific fields, such as physics, engineering, and geochemistry.  相似文献   

20.
This study investigated the effects of scaffolds as cognitive prompts and as metacognitive evaluation on seventh-grade students' growth of content knowledge and construction of scientific explanations in five inquiry-based biology activities. Students' scores on multiple-choice pretest and posttest and worksheets for five inquiry-based activities were analyzed. The results show that the students' content knowledge in all conditions significantly increased from the pretest to posttest. Incorporating cognitive prompts with the explanation scaffolds better facilitated knowledge integration and resulted in greater learning gains of content knowledge and better quality evidence and reasoning. The metacognitive evaluation instruction improved all explanation components, especially claims and reasoning. This metacognitive approach also significantly reduced students' over- or underestimation during peer-evaluation by refining their internal standards for the quality of scientific explanations. The ability to accurately evaluate the quality of explanations was strongly associated with better performance on explanation construction. The cognitive prompts and metacognitive evaluation instruction address different aspects of the challenges faced by the students, and show different effects on the enhancement of content knowledge and the quality of scientific explanations. Future directions and suggestions are provided for improving the design of the scaffolds to facilitate the construction of scientific explanations.  相似文献   

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