O desenvolvimento tecnológico vem impactando o campo da educação de múltiplas maneiras. Entretanto, a educação tradicional parece estar estagnada sob vários aspectos. No ensino superior de ciências contábeis, há diversas evidências. Com base nesse cenário, apresenta-se o Sistema de Resposta do Estudante (SRE), um recurso tecnológico que, em sua versão mais recente, consiste de dispositivos pessoais e um software interconectados pela internet usados para que os alunos possam responder questões propostas pelo docente e para que haja feedback instantâneo. Nesse sentido, o presente estudo objetivou verificar o impacto do SRE no desempenho acadêmico e na satisfação dos alunos de ciências contábeis. Foi conduzido um quase-experimento, dividido em duas partes, com alunos da disciplina de Contabilidade de Entidades Diversas de uma instituição de ensino superior pública brasileira. Ao todo, 55 alunos participaram do quase-experimento, separados em duas turmas (A e B). A Parte 1 do quase-experimento ocorreu no 1º bimestre do ano letivo de 2016 da instituição, tendo a Turma A como grupo de controle a Turma B como grupo de tratamento. A Parte 2, por sua vez, foi realizada no 2º bimestre, com a inversão dos grupos de tratamento e de controle. No início da pesquisa, foram aplicadas provas com o intuito de verificar o conhecimento prévio do conteúdo. Outros dados foram coletados por meio dos documentos da disciplina e de um questionário que compreendeu questões sobre o perfil socioeconômico dos discentes e acerca do uso (14 questões) e satisfação (10 questões) com o SRE. Em ambos os bimestres, os testes t (sig. > 0,10) e Mann-Whitney (sig. > 0,10) não indicaram que o emprego do SRE tem efeito positivo estatisticamente significativo sobre o desempenho acadêmico dos alunos. Complementarmente, analisou-se o impacto do SRE na performance discente em conjunto com fatores individuais, acadêmicos e socioecômicos por meio de modelos de regressão. Os resultados reforçaram que o SRE não exerce influência significativa sobre o desempenho acadêmico (sig. > 0,10). Em relação à satisfação discente, as estatísticas descritivas apontaram que os alunos gostaram de usar a tecnologia (média = 9,59; dp = 0,93), o SRE tornou a aula mais divertida em comparação com o ensino tradicional (média = 9,55; dp = 1,14) e houve satisfação com o equipamento (média = 9,28; dp = 1,61). Além disso, o teste U de Mann-Whitney sinalizou que não houve diferença de percepção entre as Turmas A e B em se tratando de satisfação com o SRE. Ambas as turmas mostraram padrão similar de satisfação. Da mesma forma, pela matriz de correlação de Spearman dos itens de satisfação, verificaram-se significantes relações, com destaque para a correlação que indica que quanto maior a satisfação discente com o SRE, maior tende a ser a satisfação com a disciplina (coef. = 0,2331; sig. < 0,10). Nesse sentido, constatou-se que o SRE não aumenta a performance acadêmica, mas colabora para o desenvolvimento da satisfação discente de modo geral. / Technological development has impacted the field of education in many ways. However, a traditional education seems to be stagnated in many aspects. In higher accounting education, there are several evidences. Based on this scenario, the Student Response System (SRS) is presented, which is a technological tool that, in its most recent version, consists of personal devices and a software interconnected by the internet, so that students are able to answer questions proposed by the professor with instant feedback. In this sense, the present study aimed to verify the impact of the SRS on academic performance and satisfaction of the accounting students. It was conducted a quasi-experiment, divided into two parts, with students enrolled in the Accounting for Diverse Entities discipline of a Brazilian higher education institution. In all, 55 students participated in a quasi-experiment, separated into two classes (A and B). The Part 1 of the quasi-experiment occurred in the first two-months of the 2016 institutional calendar, with Class A as control group and Class B as treatment group. The Part 2, in turn, was performed in the second two-months period, with an inversion of the treatment and control groups. At the beginning of the research, initial tests were applied with the students in order to verify the previous knowledge of the content. Other data were collected through class documents and a questionnaire that included questions on socioeconomic profile of the students and about the use (14 questions) and satisfaction (10 questions) with the SRS. In both parts of the quasi-experiment, the t (sig. > 0.10) and Mann-Whitney (sig. > 0.10) tests did not indicate that the use of SRS has a statistically significant positive effect on students\' academic performance. Additionally, the impact of SRS on student performance was analyzed in conjunction with individual, academic and socioeconomic factors through regression models. The results reinforce that the SRS does not have a significant influence on the academic performance (sig. > 0.10). Regarding student satisfaction, descriptive statistics revealed that students liked to use the technology (mean = 9.59; sd = 0.93), SRS made classes funnier than traditional teaching (mean = 9.55; sd = 1.14), and there was satisfaction with the equipment (mean = 9.28; sd = 1.61). In addition, the Mann-Whitney test showed that there was no difference between Class A\'s and Class B\'s perception in terms of satisfaction with SRS. Both groups felt satisfied similarly. Likewise, Spearman\'s correlation matrix of satisfaction items showed significant relationships, with emphasis on the correlation that indicates that the higher the student satisfaction with the SRS, the greater the satisfaction with the discipline tends to be (coeff. = 0.2331, sig. < 0.10). In general, it was verified that SRS does not increase academic performance, but it contributes to the development of students\' satisfaction.

O desenvolvimento tecnológico vem impactando o campo da educação de múltiplas maneiras. Entretanto, a educação tradicional parece estar estagnada sob vários aspectos. No ensino superior de ciências contábeis, há diversas evidências. Com base nesse cenário, apresenta-se o Sistema de Resposta do Estudante (SRE), um recurso tecnológico que, em sua versão mais recente, consiste de dispositivos pessoais e um software interconectados pela internet usados para que os alunos possam responder questões propostas pelo docente e para que haja feedback instantâneo. Nesse sentido, o presente estudo objetivou verificar o impacto do SRE no desempenho acadêmico e na satisfação dos alunos de ciências contábeis. Foi conduzido um quase-experimento, dividido em duas partes, com alunos da disciplina de Contabilidade de Entidades Diversas de uma instituição de ensino superior pública brasileira. Ao todo, 55 alunos participaram do quase-experimento, separados em duas turmas (A e B). A Parte 1 do quase-experimento ocorreu no 1º bimestre do ano letivo de 2016 da instituição, tendo a Turma A como grupo de controle a Turma B como grupo de tratamento. A Parte 2, por sua vez, foi realizada no 2º bimestre, com a inversão dos grupos de tratamento e de controle. No início da pesquisa, foram aplicadas provas com o intuito de verificar o conhecimento prévio do conteúdo. Outros dados foram coletados por meio dos documentos da disciplina e de um questionário que compreendeu questões sobre o perfil socioeconômico dos discentes e acerca do uso (14 questões) e satisfação (10 questões) com o SRE. Em ambos os bimestres, os testes t (sig. > 0,10) e Mann-Whitney (sig. > 0,10) não indicaram que o emprego do SRE tem efeito positivo estatisticamente significativo sobre o desempenho acadêmico dos alunos. Complementarmente, analisou-se o impacto do SRE na performance discente em conjunto com fatores individuais, acadêmicos e socioecômicos por meio de modelos de regressão. Os resultados reforçaram que o SRE não exerce influência significativa sobre o desempenho acadêmico (sig. > 0,10). Em relação à satisfação discente, as estatísticas descritivas apontaram que os alunos gostaram de usar a tecnologia (média = 9,59; dp = 0,93), o SRE tornou a aula mais divertida em comparação com o ensino tradicional (média = 9,55; dp = 1,14) e houve satisfação com o equipamento (média = 9,28; dp = 1,61). Além disso, o teste U de Mann-Whitney sinalizou que não houve diferença de percepção entre as Turmas A e B em se tratando de satisfação com o SRE. Ambas as turmas mostraram padrão similar de satisfação. Da mesma forma, pela matriz de correlação de Spearman dos itens de satisfação, verificaram-se significantes relações, com destaque para a correlação que indica que quanto maior a satisfação discente com o SRE, maior tende a ser a satisfação com a disciplina (coef. = 0,2331; sig. < 0,10). Nesse sentido, constatou-se que o SRE não aumenta a performance acadêmica, mas colabora para o desenvolvimento da satisfação discente de modo geral. / Technological development has impacted the field of education in many ways. However, a traditional education seems to be stagnated in many aspects. In higher accounting education, there are several evidences. Based on this scenario, the Student Response System (SRS) is presented, which is a technological tool that, in its most recent version, consists of personal devices and a software interconnected by the internet, so that students are able to answer questions proposed by the professor with instant feedback. In this sense, the present study aimed to verify the impact of the SRS on academic performance and satisfaction of the accounting students. It was conducted a quasi-experiment, divided into two parts, with students enrolled in the Accounting for Diverse Entities discipline of a Brazilian higher education institution. In all, 55 students participated in a quasi-experiment, separated into two classes (A and B). The Part 1 of the quasi-experiment occurred in the first two-months of the 2016 institutional calendar, with Class A as control group and Class B as treatment group. The Part 2, in turn, was performed in the second two-months period, with an inversion of the treatment and control groups. At the beginning of the research, initial tests were applied with the students in order to verify the previous knowledge of the content. Other data were collected through class documents and a questionnaire that included questions on socioeconomic profile of the students and about the use (14 questions) and satisfaction (10 questions) with the SRS. In both parts of the quasi-experiment, the t (sig. > 0.10) and Mann-Whitney (sig. > 0.10) tests did not indicate that the use of SRS has a statistically significant positive effect on students\' academic performance. Additionally, the impact of SRS on student performance was analyzed in conjunction with individual, academic and socioeconomic factors through regression models. The results reinforce that the SRS does not have a significant influence on the academic performance (sig. > 0.10). Regarding student satisfaction, descriptive statistics revealed that students liked to use the technology (mean = 9.59; sd = 0.93), SRS made classes funnier than traditional teaching (mean = 9.55; sd = 1.14), and there was satisfaction with the equipment (mean = 9.28; sd = 1.61). In addition, the Mann-Whitney test showed that there was no difference between Class A\'s and Class B\'s perception in terms of satisfaction with SRS. Both groups felt satisfied similarly. Likewise, Spearman\'s correlation matrix of satisfaction items showed significant relationships, with emphasis on the correlation that indicates that the higher the student satisfaction with the SRS, the greater the satisfaction with the discipline tends to be (coeff. = 0.2331, sig. < 0.10). In general, it was verified that SRS does not increase academic performance, but it contributes to the development of students\' satisfaction.

Information and communication technologies have changed the traditional concept of education and improved existing educational methods. Student Response System is a new teaching system that combines technology and education. Student Response System encourages immediate feedback on teaching content, which not only improves student engagement, learning, and satisfaction but also enhances their understanding of course materials. The purpose of this paper is to study the reasons and motivations that affecting the use of SRS also the challenges that are faced by teachers from technology faculty at Linnaeus University. In this study, a qualitative research method is used to conduct a semi-structured interview with eight teachers who have the experience of using the Student Response System and collect data as well. Data analysis and identification of three major themes based onresearch questions and related literature. According to the interview results, the reasons why teachers use such a system is that it can promote students' participation, learning and provide timely feedback, but they still face problems such as insufficient software functions, network instability, teaching time constraints. The study may provide suggestions for improving teaching methods and help other Swedish universities and departments to use SRS better.Also software designers can get some advice.

The purpose of this study was to explore the evolution of collaborative practices of PLCs as they emerge when using technology based formative assessment via iFAIT or innovative Formative Assessment with Instruction and Technology developed by the researcher using audience response systems and the online data compiler, Eduphoria!. This study used sequential explanatory mixed methods to address the problems that schools face when implementing technology based formative assessments to improve instruction and student achievement. A survey administered in September 2012 and again in December 2012 provided a measure of teacher use of formative assessments, technology use in formative assessments, and perceptions of teachers using the PLC as a mechanism of support for technology based formative assessment. Training was facilitated by the researcher as PLCs worked together to develop, administer, and interpret formative assessments. Teacher interviews were conducted, and the study ended with the administration of the December 2012 survey and open-response questions for further qualitative analysis. Quantitative data analysis was completed using ANOVAs to determine if there were significant differences of teacher groups (subject taught, grade level taught, and years of teaching experience) use of iFAIT. This data analysis also included measures of frequency and paired sample t tests between the September and December 2012 responses. Qualitative data was analyzed using hand coding, word clouds, and WordSmith Tools. The triangulation of qualitative data in the quantitative data provided a narrative to document what collaborative factors affected the use of iFAIT. For school improvement and implementation of iFAIT, the study revealed that (1) with the right technology infrastructure, on-going professional development must be offered by administrators or sought after by teachers; (2) teachers must have strong beliefs in formative assessment and the technology that supports it; (3) open lines of communication must be supported through the PLC and administration; (4) teachers must see purpose in using revealing student data to drive instruction; and (5) PLCs must have common beliefs and believe that student achievement is connected to school improvement. PLCs should discuss data, share successes, and plan instruction through extended involvement in face-to-face and online venues as communities of practice.

Recent advancements in machine learning have started to put their mark on educational technology. Technology is evolving fast and, as people adopt it, schools and universities must also keep up (nearly 70% of primary and secondary schools in the UK are now using tablets for various purposes). As these numbers are likely going to follow the same increasing trend, it is imperative for schools to adapt and benefit from the advantages offered by technology: real-time processing of data, availability of different resources through connectivity, efficiency, and many others. To this end, this work contributes to the growth of educational technology by developing several algorithms and models that are meant to ease several tasks for the instructors, engage students in deep discussions and ultimately, increase their learning gains. First, a novel, fine-grained knowledge representation is introduced that splits phrases into their constituent propositions that are both meaningful and minimal. An automated extraction algorithm of the propositions is also introduced. Compared with other fine-grained representations, the extraction model does not require any human labor after it is trained, while the results show considerable improvement over two meaningful baselines. Second, a proposition alignment model is created that relies on even finer-grained units of text while also outperforming several alternative systems. Third, a detailed machine learning based analysis of students' unrestricted natural language responses to questions asked in classrooms is made by leveraging the proposition extraction algorithm to make computational predictions of textual assessment. Two computational approaches are introduced that use and compare manually engineered machine learning features with word embeddings input into a two-hidden layers neural network. Both methods achieve notable improvements over two alternative approaches, a recent short answer grading system and DiSAN – a recent, pre-trained, light-weight neural network that obtained state-of-the-art performance on multiple NLP tasks and corpora. Fourth, a clustering algorithm is introduced in order to bring structure to the feedback offered to instructors in classrooms. The algorithm organizes student responses based on three important aspects: propositional importance classifications, computational textual understanding of student understanding and algorithm similarity metrics between student responses. Moreover, a dynamic cluster selection algorithm is designed to decide which are the best groups of responses resulting from the cluster hierarchy. The algorithm achieves a performance that is 86.3% of the performance achieved by humans on the same task and dataset. Fifth, a deep neural network is built to predict, for each cluster, an engagement response that is meant to help generate insightful classroom discussion. This is the first ever computational model to predict how engaging student responses will be in classroom discussion. Its performance reaches 86.8% of the performance obtained by humans on the same task and dataset. Moreover, I also demonstrate the effectiveness of a dynamic algorithm that can self-improve with minimal help from the teachers, in order to reduce its relative error by up to 32%.

This study has gathered insights and knowledge of Student Response Systems (SRS) within mathematics teaching in a classroom context to serve as inspiration for future research and design. Using Research through Design together with Participatory design methodologies, it has gathered qualitative data directly from end users, mathematics teachers. Focusing on the teachers’ perspectives and letting them assume the roles of co-designers, a design and prototype was created for increasing ease of assessment of student understanding. Utilising the prototype as a probe, further knowledge and implications were gathered. Four key points are outlined and discussed: (1) formative assessment, (2) input functionality, (3) Audience Engagement Platforms as a supplement to other teaching materials and (4) anonymity in the classroom. Adjacent areas and their implications for future research are also discussed. / Denna studie har samlat insikter och kunskap om Student Response Systems (SRS) i matematikundervisning i klassrum för att tjäna som inspiration för framtida forskning och design. Med hjälp av Research through Design och Participatory design som metodik har kvalitativ data samlats in direkt från slutanvändare, matematiklärare. Genom att fokusera på lärarnas perspektiv och låta dem ta på sig rollen som medkonstruktörer skapades en design och prototyp vilken underlättar att bedöma elevernas förståelse. Prototypen har sedan använts som ett verktyg för att samla in ytterligare kunskap. Fyra huvudpunkter beskrivs och diskuteras: (1) formativ bedömning, (2) inmatningsfunktionalitet, (3) Audience Engagement Platforms som ett komplement till andra läromedel och (4) anonymitet i klassrummet. Angränsande områden och deras implikationer för framtida forskning diskuteras också.

This heuristic research project examines my personal use of art making as a form of self-care while interning in a pediatric hospital. The review of the literature investigates the concept of self-care and the use of art making as a therapeutic outlet for working art therapists, for professionals in the healthcare field, and for art therapy students working specifically in hospital settings. The literature suggests that self-care is a necessary process, that self-care is not just for the physical self, but also for one’s mental health. The literature also indicates that art therapists have found that art making as a specific self-care modality is demanded. The research then contains my own personal use and record of art making as a way to support myself while working as an art therapy trainee at Children’s Hospital Los Angeles. I gave myself the structure of making response art once a week on site for 15 weeks. The data includes said weekly art responses, as well as any written responses or observations made during art making. The patterns I found pertain to similarity in the materials used, the visuals created, and the contexts of each image. By actively making response artwork, I was able to deepen my understanding of the importance of art making for the art therapist. In addition, this research highlights the importance and responsibility that comes with self-care as an art therapist, and additionally, heuristic research in art making as a form of active self-care could be especially beneficial for the art therapy student.