Explanations in STEM Areas: an Analysis of Representations Through Language in Teacher Education     

Cabello  Valeria M.  Real  Constanza  Impedovo  Maria Antonietta 《Research in Science Education》2019,49(4):1087-1106

Constructing explanations of scientific concepts is one of the most frequent strategies used in the science classroom and is a high-leverage teaching practice. This study analysed the explanations provided by student teachers in STEM areas from a socio-materiality perspective focused on verbal and nonverbal language and representations. The study was conducted in a hybrid research format by scholars and a preservice teacher. First, the study compared the representational elements used by 86 student teachers to construct explanations about various concepts in a roleplay setting. Next, a positioning analysis was done by a preservice teacher, to a selection of five of these explanations focused on the concept of “force”. The positioning analysis highlighted the embedded voices in the construction of explanations, with a focus on the intersection between science and language. The results showed that the student teachers created explanations as static artefacts, mainly using examples, graphs and images to clarify the concepts. The voices of learners and scientists were mostly absent from the explanations, which led to the presentation of explanations in STEM areas as finished and unquestionable artefacts, with references neither to nature nor to the history of science. We reflect on the meanings attributed to learning to be a practitioner in the context of interconnecting science and language through explanations, as a process of meaning (re)production within the classroom. Implications for teacher education are discussed in order to enhance student teachers’ awareness about constructing knowledge by enacting explanations in the science classroom.

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Factors (not) affecting what students do with computers and internet at home     

J. Enrique Hinostroza  Carolina Matamala  Christian Labbé  Magdalena Claro  Tania Cabello 《Learning, Media and Technology》2015,40(1):43-63

This paper presents the results of an analysis of secondary students’ computer use, aimed at understanding how different factors influence the profile of activities carried out by students with computers. The analysis is based on the data from a national study aimed at measuring students’ Information and Communication Technology (ICT) skills for learning. A factor analysis was carried out to categorize students’ activities with computers and several indexes were constructed to define the comparison groups. Finally, a multiple linear regression analysis was performed to explain the frequency of the activities. Results show that students with access to computers at home mainly perform activities categorized as Socializing, Academic, Gaming and Production and that although the absolute frequency of these activities differs across groups, the profiles of computer use are surprisingly similar for groups based on students’ socio-economic group, experience with ICT, and self-confidence in the use of ICT. The only variable that discriminates user profiles is gender. Based on these findings, it can be claimed that Chilean secondary students with access to computers at home tend to show a rather homogenous computer-use profile, once access is equated.  相似文献   

Practitioner Learning in the Intersections Between Science and Language     

Cabello  Valeria M.  Salinas Barrios  Ivan  Geelan  David 《Research in Science Education》2019,49(4):949-957

Research in Science Education -  相似文献   

A Domain-Referenced Approach to Diagnostic Testing Using Generalizability Theory     

Noreen M. Webb  Joan L. Herman  Beverly Cabello 《Journal of Educational Measurement》1987,24(2):119-130

This paper describes a four-step approach to constructing diagnostic test profiles that provide precise but practical information on students' instructional needs. The approach is based on the specification and analysis of a domain and uses generalizability theory to determine which skills within the domain need to be assessed to diagnose gaps in students' skills and to estimate score profiles. A 64-item test of pronoun use was constructed to represent 32 categories of usage defined by different combinations of five factors in the domain. Generalizability analyses were conducted to determine the optimal number of categories to be included in students' profiles and the number of items needed for each category, and to produce univariate and multivariate estimates of students' universe scores. Multivariate profiles of universe scores were the most accurate and differed substantially from observed score and univariate universe score profiles.  相似文献