Matching Items (2)
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- All Subjects: problem-solving
- All Subjects: Problem solving--Study and teaching (Elementary)
- Creators: Paige, Amie Joy
- Creators: Thomas, Heck
- Member of: Theses and Dissertations
- Resource Type: Text
Description
The purpose of this study is to impact the teaching and learning of math of 2nd through 4th grade math students at Porfirio H. Gonzales Elementary School. The Cognitively Guided Instruction (CGI) model serves as the independent variable for this study. Its intent is to promote math instruction that emphasizes problem-solving to a greater degree and facilitates higher level questioning of teachers during their instructional dialogue with students. A mixed methods approach is being employed to see how the use of the CGI model of instruction impacts the math achievement of 2nd through 4th grade students on quarterly benchmark assessments administered at this school, to see how students problem-solving abilities progress over the duration of the study, and to see how teacher practices in questioning progress. Quantitative methods are used to answer the first of these research questions using archival time series (Amrein & Berliner, 2002) to view trends in achievement before and after the implementation of the CGI model. Qualitative methods are being used to answer questions around students' progression in their problem-solving abilities and teacher questioning to get richer descriptions of how these constructs evolve over the course of the study.
ContributorsMedrano Cotito, Juan (Author) / Ann, Keith (Thesis advisor) / David, Carlson L (Committee member) / Thomas, Heck (Committee member) / Reynaldo, Rivera (Committee member) / Arizona State University (Publisher)
Created2012
Description
As any group-work member can attest, conveying information, and confirming understanding among group members can be a challenging first step in problem-solving. Despite being a ubiquitous strategy employed in many educational and organizational settings, there are collaborations that fall flat while others succeed. Recent strides have been made in the psycholinguistic approach to communication, evaluating the extent to which speakers align across lexical, syntactic, and semantic usages of language within various task environments, but gaps remain in understanding the role of language in open-ended, emergent problem-solving spaces. Study 1 examines the specific trends and functions of lexical, syntactic, and semantic alignment among speakers in a complex, creative problem-solving effort. As collaborators work through their tasks, lexical alignment decreases as semantic alignment increases and syntactic re-use decreases. These findings suggest alignment may be a sensitive mechanism that hinges on time spent in a collaborative environment and the influencing factor of goal type. More research is needed to understand the varying mechanisms across unique problem-solving spaces that vary in complexity, silence of referents, and cognitive load placed upon performers. Follow-up analyses explore how speakers use specific terms in their collaborative dialogues, assessing the roles of cognition- and action-related language. The use of thinking words (e.g. “think”, “wonder”) predicts when participants may hit an impasse in their collaborations. One interpretation suggests that cognition-related language tends to be involved when groups struggle to convey ideas. Findings from the current work have implications for interventions in organizational and educational domains, along with potential artificial intelligence applications.
ContributorsPaige, Amie Joy (Author) / Duran, Nicholas D (Thesis advisor) / Lucca, Kelsey (Committee member) / Powell, Derek (Committee member) / Arizona State University (Publisher)
Created2021