Recess, physical education, and elementary school student outcomes

Today's children experience a decreased amount of time at recess and fewer physical education (PE) classes throughout the school day. Breaks for physical activity limit class time for academics, potentially reducing learning. However, breaks may improve alertness and achievement. Using the Early Childhood Longitudinal Survey Kindergarten Class of 1998-1999, we evaluate how recess and PE in elementary school influence children's learning. We find no statistically significant or economically significant impacts of weekly recess or PE time on student learning for kindergarteners through fifth graders. For example, in kindergarten, adding an hour a week of recess reduces the average test score gain in reading by a statistically insignificant 0.01 standard deviations. An additional 49 min per week of PE in kindergarten improves reading test score gains by a statistically insignificant 0.05 standard deviations. We find no statistical difference in the male and female students’ response to recess and PE. Evidence suggests that recess and PE do not harm student outcomes.     

STUDENT INTEREST IN TECHNOLOGY AND SCIENCE (SITS) SURVEY: DEVELOPMENT,VALIDATION, AND USE OF A NEW INSTRUMENT

This study presents the systematic development, validation, and use of a new instrument for measuring student interest in science and technology. The Student Interest in Technology and Science (SITS) survey is composed of 5 sub-sections assessing the following dimensions: interest in learning science, using technology to learn science, science careers, technology careers, and attitudes toward biotechnology. Our development process included review of existing instrumentation, pilot testing, and expert panel review. The resulting instrument was administered before and after implementation of a biotechnology intervention which used a computer-based game to engage learners in the use of biotechnology to address a societal issue. We employed item response theory (IRT) to explore instrument validity and precision. Results of the psychometric analyses suggest that the SITS survey has a well-defined structure and meets IRT assumptions. Difficulty and discrimination parameters as well as reliability analyses indicate that SITS items provide useful measures of student interest. Finally, we use the SITS to explore the extent to which the intervention used in this study supports changes in student interest and association between students’ interest and related content knowledge. Implications for the future use of this instrument are discussed.     

Counseling with teachers on the sexual acting-out of disturbed children

This paper discusses the complicated task of counseling with teachers in the schools on the sexual acting-out of emotionally disturbed children. Clinical case material is presented to illustrate the meanings and motivations children have subconsciously applied to various types of sexual behavior. The material for discussion is divided into behaviors that are sexual acting-out toward self and sexual acting-out toward others. The final section of the paper proposes some guidelines that can be used constructively when discussing this problem with teachers in the school setting.     

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.