Submitted by Cássia Santos (cassia.bcufg@gmail.com) on 2016-06-09T14:43:35Z No. of bitstreams: 2 Dissertação - Vinicius Vieira Pessoni - 2016.pdf: 4679564 bytes, checksum: a6d0ecb3b97943dbc56c5ee80eb591c3 (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) / Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2016-06-09T15:38:32Z (GMT) No. of bitstreams: 2 Dissertação - Vinicius Vieira Pessoni - 2016.pdf: 4679564 bytes, checksum: a6d0ecb3b97943dbc56c5ee80eb591c3 (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) / Made available in DSpace on 2016-06-09T15:38:32Z (GMT). No. of bitstreams: 2 Dissertação - Vinicius Vieira Pessoni - 2016.pdf: 4679564 bytes, checksum: a6d0ecb3b97943dbc56c5ee80eb591c3 (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) Previous issue date: 2016-03-31 / Fundação de Amparo à Pesquisa do Estado de Goiás - FAPEG / Learning difficulties in computing courses is a situation perceived in diverse universities from different countries, cultures and backgrounds. These difficulties directly affect achievement rates and increase course evasion. We believe in the existence of a foundation of cognitive processes, that without it, even the most motivated student would have trouble to transform the received information into knowledge. This work has focused mainly on the research of candidate methods for cognitive processes assessment with a strong background theory. With this kind of information would be possible to devise cognitive interventions, in order to evolve students cognitive level, and consequently, raise their success rates. A systematic review was conducted and among the many researched methods we selected Lawson Classroom Test of Scientific Reasoning - LCTSR. Authorized by its author, we conducted the first translation of LCTSR to Brazilian Portuguese and administered to students of three undergraduate computing courses: Information Systems, Computer Science and Software Engineering.We also present results of its administration that we consider important to reinforce the above suggested strategy / Dificuldades de aprendizado nos cursos de computação são um desafio observado através dos anos, em diversas universidades de diferentes países, culturas e formações. Essas dificuldades se refletem em baixas taxas de rendimento, altas taxas de evasão e influenciam negativamente no interesse dos discentes pelos cursos. Acredita-se que exista uma fundamentação interna de processos cognitivos, que sem ela, mesmo o estudante mais motivado teria dificuldades para transformar informação em conhecimento. O foco do presente trabalho está na pesquisa de métodos candidatos para a medição dos processos cognitivos que possuam uma sólida teoria de base. Espera-se ser possível não só identificar, caracterizar e aferir os processos cognitivos, mas também oferecer abordagens factíveis para adquiri-los e desenvolvê-los, melhorando, consequentemente, o ensino. Uma revisão sistemática foi conduzida, e dentre os diversos métodos identificados, o instrumento Lawson Classroom Test of Scientific Reasoning - LCTSR foi selecionado para aplicação. Autorizado por seu autor, a primeira tradução para Português brasileiro foi realizada e o exame foi ministrado a três cursos de graduação de computação: Sistemas de Informação, Ciências da Computação e Engenharia de Software. O caráter inédito dessa pesquisa se apresenta em duas vias: ao trazer a primeira versão em Português Brasileiro do instrumento; ao disponibilizar os dados da aplicação, ampliando o conhecimento sobre o nível cognitivo dos estudantes.

Recent developments in educational research raise important questions about the design of learning environments—questions that suggest the value of rethinking what is taught, how it is taught, and how is it assessed. During the past few decades, STEM disciplines began formally recognizing and integrating discipline-based education research (DBER) into their research programs to improve STEM education. One of the less literature-affluent areas of DBER addresses curriculum order and design appertaining to concept types and the order in which we teach those concepts. As educational researchers, we pose the question: does content order matter? In this project we designed, implemented and analyzed a concrete-to-abstract curriculum as a way of teaching and learning that not only builds off what students already know but how their intellect develops throughout the learning process. This semester-long curriculum design is scientifically supported and provides a learning environment aimed to not only building a student’s declarative knowledge of the subject but procedural knowledge as well and a way of developing scientific reasoning skills. This design also aimed at enhancing a student’s ability to make connections between biological concepts despite being classified as different biological concept types (e.g. descriptive, hypothetical, and theoretical concepts) as described by Lawson et al (2000). The reasoning behind and development of this project was based from Jean Piaget’s proposed stages of intellectual development, which supports the concrete-to-abstract theory. We found that, when compared to a traditional biology course (abstract-to-concrete in terms of content order), a concrete-to-abstract order of content resulted in significantly higher biological declarative knowledge and ability to make concept connections. While we failed to detect a significant difference between the two courses in terms of how quickly scientific reasoning skills are developed or how students’ scores on scientific reasoning skill assessments, the concrete-to-abstract course did show significantly higher gains in reasoning between the start and end of the semester. In addition to this project, a significant amount of time was also allocated to the design and evaluation of a health promotion and education program in Samoa. We developed a program which centered on a principal-run caregiver meeting as a means to expand health promotion and prevention efforts concerning Rheumatic Heart Disease, which is a significant cause of child morbidity and mortality in Samoa. We found that training principals on how to inform their student’s caregivers was an effective way to increase RHD awareness and disseminate correct health information including what to do if their child presents with a sore throat.

The ability to interpret and apply experiences, or cases (Kolodner, 1993; 1997) is a skill (Anderson, et. al, 1981; Anderson, 2000) that is key to successful learning that can be transferred (Bransford, Brown and Cocking, 1999) to new learning situations. For middle-schoolers in a project-based inquiry science classroom, interpreting and applying the experiences of experts to inform their design solutions is not always easy (Owensby and Kolodner, 2002). Interpreting and applying an expert case and then assessing the solution that results from that application are the components of a process I call case use. This work seeks to answer three questions: 1. How do small-group case use capabilities develop over time? 2. How well are students able to apply case use skills in new situations over time? 3. What difficulties do learners have as they learn case use skills and as they apply case use skills in new situations? What do these difficulties suggest about how software might further support cognitive skill development using a cognitive apprenticeship (Collins, Brown and Newman, 1989) framework? I argue that if learners in project based inquiry classrooms are able to understand, engage in, and carry out the processes involved in interpreting and applying expert cases effectively, then they will be able to do several things. They will learn those process and be able to read an expert case for understanding, glean the lessons they can learn from it, and apply those lessons to their question or challenge. Furthermore, I argue that they may also be able to transfer interpretation, application, and assessment skills to other learning situations where application of cases is appropriate.

In der Dissertation wird der Frage nachgegangen, welche kognitiven Prozesse der Informationsverarbeitung von wissenschaftlichen Daten beim konzeptuellen Lernen von biologischen Inhalten eine Rolle spielen. Dafür wird ein theoriebasiertes Modell des data-based scientific reasoning beschrieben, welches ebenfalls Aspekte der visuellen Wahrnehmung einbezieht. Dabei kann eine Synthese sogenannter bottom-up- und top-down-Effekte die visuelle Wahrnehmung der dargestellten Daten beeinflussen. Von Interesse sind hierbei Charakteristika der Repräsentation der Daten, sowie die individuellen Vorstellungen zum Kontext und ob, die Daten diese stützen oder widerlegen (anomale Daten). Weiterhin wird in der Arbeit die Rolle von data-based scientific reasoning auf wissenschaftliche Modellierungsprozesse untersucht, da Modellieren als übergreifende wissenschaftliche Praxis gesehen werden kann. In vier empirischen Studien wurden kognitive Prozesse beim Umgang mit Daten bei angehenden Biologielehrkräften, mit Fragebögen, Eye Tracking und lautem Denken untersucht. Die Ergebnisse der durchgeführten Studien heben die Rolle der visuellen Wahrnehmung als entscheidenden Schritt beim data-based scientific reasoning hervor. In Bezug auf Charakteristika der Repräsentation erscheint es notwendig, die visuelle Aufmerksamkeit der Lernenden auf spezifische Merkmale zu lenken und mit entsprechendem konzeptuellem Wissen zu verknüpfen. Die Ergebnisse legen nahe, dass anomale Daten zwar mit wissenschaftlich adäquatem Wissen erklärt werden, dies aber nicht automatisch zur Änderung ursprünglicher Vorstellungen bezüglich des Kontexts führt. Diese Tendenz scheint mit Unsicherheit gegenüber den Daten verbunden zu sein. Darüber hinaus spielen anomale Daten eine zentrale Rolle in wissenschaftlichen Modellierungsprozessen. Die Ergebnisse der entsprechenden Studie deuten darauf hin, dass hoch ausgeprägte Kompetenzen des data-based scientific reasoning mit elaborierten Modellierungsprozessen zusammenhängen. / The thesis focusses on the relevance of reasoning with scientific data for conceptual learning in biology. It aims to contribute to the question which cognitive processes are involved when learners encounter data sets that support or contradict their individual expectations. Therefore, a theoretical model of data-based scientific reasoning is described that is grounded on a general model of information processing. In this model, aspects of visual perception are emphasized. However, visual perception is influenced by a synthesis of so-called bottom-up and top-down effects. Furthermore, the theoretical perspective on the role of responses to anomalous data for scientific practices was extended by investigating how learners react and integrate anomalous data during modeling processes. In four empirical studies cognitive processes leading to responses to anomalous data in science education were investigated by applying a mixture of questionnaires, eye tracking techniques, and think aloud. The findings of the conducted studies highlight the role of perceptual processes as a key step during data-based scientific reasoning. Regarding representational characteristics it seems necessary to guide learners´ visual attention and connect specific features with corresponding conceptual knowledge. However, the findings suggest that a use of adequate scientific knowledge for explaining anomalous data does not lead to a change in initial conceptions regarding the context, since participants of the studies still tended to maintain their initial expectations. This tendency seems to be linked to a high need for encompassing information and a connected uncertainty towards the perceived data. Furthermore, anomalous data play a central role during modelling processes. The results of the corresponding study, indicate that sophisticated competencies of data-based reasoning with anomalous data relate to elaborate modeling processes.

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