2,412 research outputs found

    Introductory programming: a systematic literature review

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    As computing becomes a mainstream discipline embedded in the school curriculum and acts as an enabler for an increasing range of academic disciplines in higher education, the literature on introductory programming is growing. Although there have been several reviews that focus on specific aspects of introductory programming, there has been no broad overview of the literature exploring recent trends across the breadth of introductory programming. This paper is the report of an ITiCSE working group that conducted a systematic review in order to gain an overview of the introductory programming literature. Partitioning the literature into papers addressing the student, teaching, the curriculum, and assessment, we explore trends, highlight advances in knowledge over the past 15 years, and indicate possible directions for future research

    Guide for Teaching Faculty, 2019-2020

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    Innovative Learning Environments in STEM Higher Education

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    As explored in this open access book, higher education in STEM fields is influenced by many factors, including education research, government and school policies, financial considerations, technology limitations, and acceptance of innovations by faculty and students. In 2018, Drs. Ryoo and Winkelmann explored the opportunities, challenges, and future research initiatives of innovative learning environments (ILEs) in higher education STEM disciplines in their pioneering project: eXploring the Future of Innovative Learning Environments (X-FILEs). Workshop participants evaluated four main ILE categories: personalized and adaptive learning, multimodal learning formats, cross/extended reality (XR), and artificial intelligence (AI) and machine learning (ML). This open access book gathers the perspectives expressed during the X-FILEs workshop and its follow-up activities. It is designed to help inform education policy makers, researchers, developers, and practitioners about the adoption and implementation of ILEs in higher education

    TLAD 2010 Proceedings:8th international workshop on teaching, learning and assesment of databases (TLAD)

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    This is the eighth in the series of highly successful international workshops on the Teaching, Learning and Assessment of Databases (TLAD 2010), which once again is held as a workshop of BNCOD 2010 - the 27th International Information Systems Conference. TLAD 2010 is held on the 28th June at the beautiful Dudhope Castle at the Abertay University, just before BNCOD, and hopes to be just as successful as its predecessors.The teaching of databases is central to all Computing Science, Software Engineering, Information Systems and Information Technology courses, and this year, the workshop aims to continue the tradition of bringing together both database teachers and researchers, in order to share good learning, teaching and assessment practice and experience, and further the growing community amongst database academics. As well as attracting academics from the UK community, the workshop has also been successful in attracting academics from the wider international community, through serving on the programme committee, and attending and presenting papers.This year, the workshop includes an invited talk given by Richard Cooper (of the University of Glasgow) who will present a discussion and some results from the Database Disciplinary Commons which was held in the UK over the academic year. Due to the healthy number of high quality submissions this year, the workshop will also present seven peer reviewed papers, and six refereed poster papers. Of the seven presented papers, three will be presented as full papers and four as short papers. These papers and posters cover a number of themes, including: approaches to teaching databases, e.g. group centered and problem based learning; use of novel case studies, e.g. forensics and XML data; techniques and approaches for improving teaching and student learning processes; assessment techniques, e.g. peer review; methods for improving students abilities to develop database queries and develop E-R diagrams; and e-learning platforms for supporting teaching and learning

    TLAD 2010 Proceedings:8th international workshop on teaching, learning and assesment of databases (TLAD)

    Get PDF
    This is the eighth in the series of highly successful international workshops on the Teaching, Learning and Assessment of Databases (TLAD 2010), which once again is held as a workshop of BNCOD 2010 - the 27th International Information Systems Conference. TLAD 2010 is held on the 28th June at the beautiful Dudhope Castle at the Abertay University, just before BNCOD, and hopes to be just as successful as its predecessors.The teaching of databases is central to all Computing Science, Software Engineering, Information Systems and Information Technology courses, and this year, the workshop aims to continue the tradition of bringing together both database teachers and researchers, in order to share good learning, teaching and assessment practice and experience, and further the growing community amongst database academics. As well as attracting academics from the UK community, the workshop has also been successful in attracting academics from the wider international community, through serving on the programme committee, and attending and presenting papers.This year, the workshop includes an invited talk given by Richard Cooper (of the University of Glasgow) who will present a discussion and some results from the Database Disciplinary Commons which was held in the UK over the academic year. Due to the healthy number of high quality submissions this year, the workshop will also present seven peer reviewed papers, and six refereed poster papers. Of the seven presented papers, three will be presented as full papers and four as short papers. These papers and posters cover a number of themes, including: approaches to teaching databases, e.g. group centered and problem based learning; use of novel case studies, e.g. forensics and XML data; techniques and approaches for improving teaching and student learning processes; assessment techniques, e.g. peer review; methods for improving students abilities to develop database queries and develop E-R diagrams; and e-learning platforms for supporting teaching and learning

    Automatização de feedback para apoiar o aprendizado no processo de resolução de problemas de programação.

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    No ensino de programação, é fundamental que os estudantes realizem atividades práticas. Para que sejam bem sucedidos nessas atividades, os professores devem guiá-los, especialmente os iniciantes, ao longo do processo de programação. Consideramos que o processo de programação, no contexto do ensino desta prática, engloba as atividades necessárias para resolver um problema de computação. Este processo é composto por uma série de etapas que são executadas de forma não linear, mas sim iterativa. Nós consideramos o processo de programação adaptado de Polya (1957) para a resolução de problemas de programação, que inclui os seguintes passos [Pól57]: (1) Entender o problema, (2) Planejar a solução, (3) Implementar o programa e (4) Revisar. Com o foco no quarto estágio, nós almejamos que os estudantes tornem-se proficientes em corrigir as suas estratégias e, através de reflexão crítica, serem capazes de refatorar os seus códigos tendo em vista a boa qualidade de programação. Durante a pesquisa deste doutorado, nós desenvolvemos uma abordagem para gerar e fornecer feedback na última fase do processo de programação: avaliação da solução. O desafio foi entregar aos estudantes feedback elaborado e a tempo, referente ás atividades de programação, de forma a estimulá-los a pensar sobre o problema e a sua solução e melhorar as suas habilidades. Como requisito para a geração de feedback, comprometemo-nos a não impormais carga de trabalho aos professores, evitando-os de criar novos artefatos. Extraímos informações a partir do material instrucional já desenvolvido pelos professores quando da criação de uma nova atividade de programação: a solução de referência. Implementamos e avaliamos nossa proposta em um curso de programação introdutória em um estudo longitudinal. Os resultados obtidos no nosso estudo vão além da desejada melhoria na qualidade de código. Observamos que os alunos foram incentivados a melhorar as suas habilidades de programação estimulados pelo exercício de raciocinar sobre uma solução para um problema que já está funcionando.In programming education, the development of students’ programming skills through practical programming assignments is a fundamental activity. In order to succeed in those assignments, instructors need to provide guidance, especially to novice learners, about the programming process. We consider that this process, in the context of programming education, encompasses steps needed to solve a computer-programming problem. We took into consideration the programming process adapted from Polya (1957) to computer programming problem-solving, that includes the following stages [Pól57]: (1) Understand the problem; (2) Plan the solution; (3) Implement the program and (4) Look Back. Focusing on the fourth stage, we want students to be proficient in correcting strategies and, with critical reflection, being able to refactor their code caring about good programming quality. During this doctoral research, we developed an approach to generate formative feedback to leverage programming problem-solving in the last stage of the programming process: targeting the solution evaluation. The challenge was to provide timely and elaborated feedback, referring to programming assignments, to stimulate students to reason about the problem and their solution, aiming to improve their programming skills. As a requirement for generating feedback, we compromised not to impose the creation of new artifacts or instructional materials to instructors, but to take advantage of a usual resource already created when proposing a new programming assignment: the reference solution. We implemented and evaluated our proposal in an introductory programming course in a longitudinal study. The results go beyond what we initially expected: the improved assignments’ code quality. We observed that students felt stimulated, and in fact, improved their programming abilities driven by the exercise of reasoning about their already functioning solution
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