Arguing to learn and learning to argue: Case studies of how students' argumentation relates to their scientific knowledge

In this study we investigated junior high school students' processes of argumentation and cognitive development in science and socioscientific lessons. Detailed studies of the relationship between argumentation and the development of scientific knowledge are rare. Using video and audio documents of small group and classroom discussions, the quality and frequency of students' argumentation was analyzed using a schema based on the work of Toulmin ( 1958 ). In parallel, students' development and use of scientific knowledge was also investigated, drawing on a schema for determining the content and level of abstraction of students' meaning‐making. These two complementary analyses enabled an exploration of their impact on each other. The microanalysis of student discourse showed that: (a) when engaging in argumentation students draw on their prior experiences and knowledge; (b) such activity enables students to consolidate their existing knowledge and elaborate their science understanding at relatively high levels of abstraction. The results also suggest that students can acquire a higher quality of argumentation that consists of well‐grounded knowledge with a relatively low level of abstraction. The findings further suggest that the main indicator of whether or not a high quality of argument is likely to be attained is students' familiarity and understanding of the content of the task. The major implication of this work for developing argumentation in the classroom is the need to consider the nature and extent of students' content‐specific experiences and knowledge prior to asking them to engage in argumentation. © 2007 Wiley Periodicals, Inc. J Res Sci Teach 45: 101–131, 2008     

Contextualizing instruction: Leveraging students' prior knowledge and experiences to foster understanding of middle school science

Contextualizing science instruction involves utilizing students' prior knowledge and everyday experiences as a catalyst for understanding challenging science concepts. This study of two middle school science classrooms examined how students utilized the contextualizing aspects of project‐based instruction and its relationship to their science learning. Observations of focus students' participation during instruction were described in terms of a contextualizing score for their use of the project features to support their learning. Pre/posttests were administered and students' final artifacts were collected and evaluated. The results of these assessments were compared with students' contextualizing scores, demonstrating a strong positive correlation between them. These findings provide evidence to support claims of contextualizing instruction as a means to facilitate student learning, and point toward future consideration of this instructional method in broader research studies and the design of science learning environments. © 2007 Wiley Periodicals, Inc. J Res Sci Teach 45: 79–100, 2008     

Using conjoint analysis to examine bias in referral to a behavior intervention program

Research in the United States suggests that teachers view Black students' misbehavior as more likely to reoccur, but such research has not disentangled the effect of race from related factors. We used conjoint analysis to experimentally test the effect of multiple student characteristics on the chances of being referred for a behavior intervention program. Although preservice teacher participants were not more likely to refer Black students, they were more likely to refer students who had lower grades, lived in poverty, lived with a single mother, and had been retained. We interpret these results and highlight directions for future research and practice.     

Using an opportunity-propensity framework to estimate individual-, classroom-, and school-level predictors of middle school science achievement

Using data from the Early Childhood Longitudinal Study, Kindergarten Class of 1998–99 (N = 4447), this analysis employs an opportunity-propensity (O-P) framework (Byrnes, 2003; Byrnes & Miller, 2007; Byrnes & Wasik 2009) to examine the influence of multiple student, teacher, classroom, and school factors on eighth-grade science achievement. Saçkes, Trundle, Bell, and O’Connell (2011) fit an O-P structural equation model (SEM) to the same database to explain science achievement growth from Kindergarten to third grade. We extend this work by fitting an O-P SEM to this database to predict science achievement growth from fifth to eighth grade. This middle school model includes an opportunity variable – science curriculum track placement – that operates only in middle and high school. This variable and the school’s poverty rate are significant predictors of several opportunity factors. We replicate previous findings that propensity factors are the strongest determinants of science achievement, notably prior achievement. However, we find more opportunity factors than previous studies that are also significant. Other things being equal, having a state-certified teacher is the second strongest predictor of achievement within the model. Placement in a science honors course and being enrolled in a low income school are also linked to small but significant impacts on science achievement.     

Opportunities to learn about Europe at school. A comparative analysis among European adolescents in 21 European member states

In this article, we investigate the relationship between different learning methods and the formation of European identity among adolescents. The analysis is based on the European module of the International Civic and Citizenship Education Study (2009), with 70,502 respondents in 21 European member states. The results show that offering opportunities for cognitive learning is more strongly related to European identity than social learning opportunities, i.e. opportunities for interactions with citizens from other European Union member states. The occurrence of an interaction effect between cognitive and social learning strategies, however, suggests that jointly offering both learning strategies can be considered the most effective tool for the formation of a European identity. The multilevel analysis reveals the impact of a more Eurosceptic climate on the country level, suggesting that living in a Eurosceptic member state is related to a weaker European identity among adolescents. We close with some observations on how curricula can contribute to a strengthening of European identity.     

Longitudinal analysis of the trajectories of academic and social motivation across the transition from elementary to middle school

School transitions are important phases in students’ educational experiences. The current study aimed to explore the trajectories of academic and social motivation across the transition from elementary to middle school. Participants (N = 415) were sampled from six elementary schools; 55% transitioned after sixth grade (transition) and 45% remained at the same school (no-transition). The students reported academic and social goals and perceived teacher goal emphasis at four time points over two successive years. A growth curve analysis revealed that students who transitioned reported a greater decline in mastery goals and an increase in performance-approach goals. Students from no-transition schools reported higher initial levels for all social goals, with a steeper decline in seventh grade. Perceived teacher goal emphasis was associated with social development goals over time. Practitioners should be aware that school transitions may influence academic motivation but may not similarly influence social motivation.     

Assessing approaches to learning with nonparametric multidimensional scaling

This article reports on a trace-based assessment of approaches to learning used by middle school aged children who interacted with NASA Mars Mission science, technology, engineering and mathematics (STEM) games in Whyville, an online game environment with 8 million registered young learners. The learning objectives of two games included awareness and knowledge of NASA missions, developing knowledge and skills of measurement and scaling, applying measurement for planetary comparisons in the solar system. Trace data from 1361 interactions were analysed with nonparametric multidimensional scaling methods, which permitted visual examination and statistical validation, and provided an example and proof of concept for the multidimensional scaling approach to analysis of time-based behavioural data from a game or simulation. Differences in approach to learning were found illustrating the potential value of the methodology to curriculum and game-based learning designers as well as other creators of online STEM content for pre-college youth. The theoretical framework of the method and analysis makes use of the Epistemic Network Analysis toolkit as a post hoc data exploration platform, and the discussion centres on issues of semantic interpretation of interaction end-states and the application of evidence centred design in post hoc analysis.

Practitioner notes

What is already known about this topic

• Educational game play has been demonstrated to positively affect learning performance and learning persistence.
• Trace-based assessment from digital learning environments can focus on learning outcomes and processes drawn from user behaviour and contextual data.
• Existing approaches used in learning analytics do not (fully) meet criteria commonly used in psychometrics or for different forms of validity in assessment, even though some consider learning analytics a form of assessment in the broadest sense.
• Frameworks of knowledge representation in trace-based research often include concepts from cognitive psychology, education and cognitive science.

What this paper adds

• To assess skills-in-action, stronger connections of learning analytics with educational measurement can include parametric and nonparametric statistics integrated with theory-driven modelling and semantic network analysis approaches widening the basis for inferences, validity, meaning and understanding from digital traces.
• An expanded methodological foundation is offered for analysis in which nonparametric multidimensional scaling, multimodal analysis, epistemic network analysis and evidence-centred design are combined.

Implications for practice and policy

• The new foundations are suggested as a principled, theory-driven, embedded data collection and analysis framework that provides structure for reverse engineering of semantics as well as pre-planning frameworks that support creative freedom in the processes of creation of digital learning environments.

     

学习困难儿童的心理探析与干预策略

儿童学习困难的问题是学校、教师、家长、学生共同关心的话题。本研究在系统地分析学习困难儿童的概念、成因、心理特点的基础上，提出学校、家长、学生“三位一体”的教育干预策略，为学习困难儿童的教育提供一定参考。     

及时用好电脑软件 克服惧怕数学心理——以高中数学回归分析为例

对于高中数学回归分析,许多学生反映虽然结果简洁实用,但是求解过程中画图繁琐、计算量大以及公式难记。适时补充一节应用Matlab、SPSS或Excel软件进行制图与数值求解的课,可以轻轻松松得出结果,会让学生大开眼界,一扫惧怕数学心理,重拾愉悦学习数学的心态。