In a midwest, rural, and high-poverty elementary school, teachers expressed concerns about difficult student behaviors in their classrooms. It was important to address the problem because student misbehavior disrupts the learning of all students in the classroom. To provide information to the school that could inform possible interventions, a survey was conducted that measured the perceptions of 24 classroom teachers about concerning student behaviors, their methods of dealing with such behaviors, their needs for further support, and their confidence in dealing with difficult student behaviors. The conceptual frameworks that guided this study were the behaviorist theories of Watson and Skinner. The survey responses were analyzed using descriptive statistics. A Mann-Whitney U test was conducted for each of the survey questions to determine whether any statistically significant differences between the survey responses of independent variable groups of grade level (Kindergarten-3 and 4-6) and teacher experience (novice and veteran teachers). Findings showed only 1 statistically significant difference between the Grades K-3 and 4-6 teachers' use of books and published materials to deal with concerning student behavior. A professional development initiative was created that will use professional learning community groupings already present in the school for teachers to research and implement changes to their professional practices in dealing with concerning student behaviors. This study may lead to an improved learning environment for teachers and students, an enhanced school reputation, and further parental and community support.

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A qualitative investigation was conducted to explore the phenomenon of teacher perception of change in school culture as a result of the implementation of mindfulness. This study used a phenomenological methodology, enabling the researcher to gather information by focusing on and describing the impact of mindfulness on school culture in a deep comprehensive manner. The investigator was able to extract meaning and code data, leading to the emergence of themes that supported and aligned with the study’s research questions and thus led into a holistic understanding of the phenomenon. This was accomplished through data analysis of rich, in-depth interviews, onsite visits, and document analysis, which consisted of aggregate student disciplinary information, aggregate achievement results, the state report card, attendance records, teacher retention records, and faculty survey results. The quality of data sources led to saturation, and variety of sources allowed for triangulation of the results. The principal researcher in this study found that mindfulness results in a large, positive impact on school culture, including improved relationships among stakeholders, improved academic performance, and a decrease in disciplinary incidents. This was evidenced and supported by a thorough literature review, the results of participant interviews, and document analysis. The researcher also specified factors teachers perceived as essential to the implementation of mindfulness in schools and provided practical suggestions for putting mindfulness in place as well as suggestions for future research. The results from this study provide a framework for understanding and exploring the phenomenon.

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When students use an online eTextbook with content and interactive graded exercises, they often display aspects of two types of behavior: credit-seeking, and knowledge-seeking. Any given student might behave to some degree in either way in a given assignment. In this work, we look at multiple aspects of detecting the degree to which either behavior is taking place, and investigate relationships to student performance. In particular, we focus on an eTextbook used for teaching Formal Languages, an advanced computer science course. This eTextbook is using Programmed Instruction (PI) framesets to deliver the material. We take two approaches to analyze session interactions in order to detect credit-seeking incidents. We first start with a coarse-grained approach by presenting an unsupervised model that clusters the behavior in the work sessions based on the sequence of different interactions that happens during them. Then we perform a fine-grained analysis where we consider the type of each question in the frameset, which can be a multi-choice, single-choice, or T/F question. We show that credit-seeking behavior is negatively affecting the learning outcome of the students. We also find that the type of the PI frame is a key factor in drawing students more into the credit-seeking behavior to finish the PI framesets quickly. We implement three machine learning models that predict students' midterm and overall semester grades based on their amount of credit-seeking behavior on the PI framesets. Finally, we provide a semisupervised learning model to aid in the work session labeling process. / Master of Science / Students frequently exhibit features of two types of behavior when using an online eTextbook with content and interactive graded exercises: credit-seeking and knowledge-seeking. When solving homework or studying a material, students can behave in either manner to some extent. In this research, we study links between student performance and different elements of recognizing the degree to which either behavior is occurring. We concentrate on an eTextbook used to teach an advanced computer science course, Formal Languages and Automata, using a teaching paradigm called Programmed Instruction (PI). In order to detect credit-seeking instances, we use two ways to study students' behavior in the Programmed Instruction sessions. We begin with a coarse-grained approach by building a model that can categorize work sessions into two groups based on the interactions that occur throughout them. Then we do a fine-grained analysis in which we analyze the question types in the framesets and their effect on the students' behavior. We show that credit-seeking behavior has a negative effect on students' learning outcomes. We discovered that the PI frame type is an important factor in enticing students to engage in credit-seeking behavior in an attempt to finish PI framesets fast. Finally, we present three predictive models that can forecast the students' midterm and total semester grades based on their credit-seeking behavior on the Programmed Instruction framesets.

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The aim of this qualitative study was to description and interpretation of experiences and perceptions of teachers working with students who have challenging behaviours in various types of school settings in Poland. Teachers’ experiences and perceptions provided insights and understandings into action strategies, in the case of the teachers who were interviewed, their assessing student difficulties and the effectiveness of various behavioural interventions. The data obtained from teacher interviews revealed their classroom management practices as well as their perceptions on the efficacy of their respective schoolwide practices for supporting students with behaviour support needs.

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