Ensino/aprendizagem num novo contexto tecnológico: um estudo no âmbito do ensino superior

Today’s students of higher education are considered digital natives. They have a wide array of technologies at their disposal that are used in their day-to-day lives in very different contexts; including recreation, work and academic. This scenario promotes a change of culture by the main actors associated with the Teaching/Learning process. This prompted the development of the present thesis which aims to evaluate the degree of use and acceptance of technologies supporting the Teaching/Learning process in Higher Education Institutions (HEI). The methodology used when conducting this study was based initially on a review of the specialized literature, identifying the three main technological generations supporting the Teaching/Learning process: Learning Management Systems (LMS), Web 2.0 technologies and Massive Open Online Courses (MOOCs). Subsequently, the technologies recognized as the most relevant within each of these generations have been the subject of (i) a systematic literature review, (ii) a content analysis elaborated on the platforms/technologies used in international Higher Education Institutions, and (iii) an empirical work conducted at a Portuguese Higher Education Institution. Concerning the latter, an understanding of the behavior of the two main players involved in the Teaching/Learning process (students and teachers) was particularly sought after. Therefore, studies were conducted on (i) the students’ use of the main technologies, (ii) the students’ acceptance of some of these technologies in the context of Teaching/Learning and (iii) the use and acceptance of the technologies by teachers. The results indicated that the Moodle platform is the LMS most used in Higher Education Institutions. In this context, the platform is mostly used as a content repository and a communication channel. As for Web 2.0, Video Sharing, Social Networks and Wikis were proven to be the technologies most used by students and teachers. The results also revealed that the technologies in question are well accepted by both parties, thus showing that their adoption could benefit the Teaching/Learning process in the new technological paradigm. Regarding the MOOCs, few teachers showed knowledge of the concept and no teachers who had created these type of courses were identified. This study resulted in the development of seven scientific works with peer review, being five scientific papers published or submitted to international scientific journals and two chapters published in international books. These scientific works constitute an integral part of this doctoral thesis.Atualmente, os estudantes do ensino superior são considerados nativos digitais, tendo à sua disposição um conjunto abrangente de tecnologias que utilizam no seu dia a dia nos mais diversos contextos, incluindo o de lazer, de trabalho e académico. Este cenário promove uma mudança de cultura por parte dos principais atores associados ao processo de Ensino/Aprendizagem, o que motivou o desenvolvimento da presente tese que tem por objetivo avaliar o grau de utilização e de aceitação das tecnologias de suporte ao processo Ensino/Aprendizagem nas Instituições de Ensino Superior (IES). A metodologia utilizada na condução deste estudo, baseou-se inicialmente numa revisão da literatura especializada, tendo-se identificado as três principais gerações tecnológicas de suporte ao processo Ensino/Aprendizagem, mais especificamente os Learning Management Systems (LSM), as tecnologias Web 2.0 e os Massive Open Online Courses (MOOCs). Seguidamente, as tecnologias reconhecidas como as mais relevantes no âmbito de cada uma destas gerações foram alvo de revisão sistemática da literatura, de análise de conteúdo elaborada sobre as plataformas/tecnologias utilizadas em Instituições de Ensino Superior de referência a nível internacional, e de trabalhos empíricos conduzidos numa Instituição de Ensino Superior Portuguesa. Em particular, no que se refere a estes últimos, procurou-se perceber o comportamento relativo à adoção das tecnologias por parte dos dois principais intervenientes no processo Ensino/Aprendizagem, i.e., estudantes e professores. Desta forma, foram conduzidos estudos acerca (i) da utilização, por parte dos estudantes, das principais tecnologias, (ii) da aceitação, por parte dos estudantes, de algumas dessas tecnologias em contexto Ensino/Aprendizagem e (iii) da utilização e aceitação das tecnologias por parte dos professores. Os resultados apontaram para o facto de a plataforma Moodle representar o LMS mais utilizado no Ensino Superior sendo, no contexto do caso analisado, utilizado maioritariamente como repositório de conteúdos e canal de comunicação. No que se refere à Web 2.0, o Video Sharing, as Redes Sociais e as Wikis revelaram-se como as tecnologias mais utilizadas pelos estudantes e pelos professores. Os resultados revelaram, ainda, que as tecnologias em causa são bem aceites, tanto por parte dos estudantes como dos professores, evidenciando, assim, que a sua adoção poderá beneficiar o processo Ensino/Aprendizagem no paradigma tecnológico. Já no que diz respeito às MOOCs, poucos professores evidenciaram conhecer o conceito, não se tendo identificado professores que tivessem criado este tipo de cursos. Este estudo traduziu-se na elaboração de sete trabalhos científicos com revisão por pares, dos quais cinco artigos publicados/submetidos a revistas científicas internacionais e dois capítulos publicados de livros internacionais, que aqui se apresentam e constituem parte integrante desta tese de doutoramento.Programa Doutoral em Engenharia e Gestão Industria

EOSC Synergy WP6: Initial review of systems, initiatives and development of selection criteria of the online learning/training platforms and initiatives

This report describes a review of possible learning platforms and tools, and relevant previous and current projects and initiatives in the area of Open Science and EOSC training and education. It also includes reflections on the criteria we will use to select the platform and tools for the EOSC-Synergy project.European Commission. The report is a deliverable of EOSC-synergy project (INFRAEOSC-05(b)), Grant agreement ID: 857647.Peer reviewe

ONLINE INTERACTIVE TOOL FOR LEARNING LOGIC

This dissertation presents the design and implementation of an online platform for solving logic exercises, aimed at complementing theoretical classes for students of logicrelated courses at the University of Nova Lisbon. The platform is integrated with a Learning Management System (LMS) using the LTI protocol, allowing instructors to grade students’ work. We provide an overview of related literature and detailed explanations of each component of the platform, including the design of logic exercises and their integration with the LMS. Additionally, we discuss the challenges and difficulties faced during the development process. The main contributions of this work are the platform itself, a guide on integrating an external tool with LTI, and the implementation of the tool with the LTI learning platform. Our results and evaluations show that the platform is effective for enhancing online learning experiences and improving assessment methods. In conclusion, this dissertation provides a valuable resource for educational institutions seeking to improve their online learning offerings and assessment practices.Esta dissertação apresenta o design e a implementação de uma plataforma online para resolver exercícios de lógica, com o objetivo de complementar as aulas teóricas para estudantes de cursos relacionados à lógica na Universidade de Nova Lisboa. A plataforma está integrada a um Sistema de Gestão de Aprendizagem (SGA) usando o protocolo LTI, permitindo que os instrutores avaliem o trabalho de seus alunos. Oferecemos uma visão geral da literatura relacionada e explicações detalhadas de cada componente da plataforma, incluindo o design dos exercícios de lógica e sua integração com o SGA. Além disso, discutimos os desafios e dificuldades enfrentados durante o processo de desenvolvimento. As principais contribuições deste trabalho são a própria plataforma, um guia sobre a integração de uma ferramenta externa com o LTI e a implementação da ferramenta na plataforma de aprendizagem LTI. Em conclusão, esta dissertação fornece um recurso valioso para as instituições educacionais que buscam melhorar suas ofertas de aprendizagem online e práticas de avaliação

THE DESIGN OF A LEARNING ANALYTICS DASHBOARD: EDUOPEN MOOC PLATFORM REDEFINITION PROCEDURES

The current EduOpen dashboard is not capable of monitoring performances and trends over the medium to long term both for the students as for the instructors; summarising and synthesising the adequate information; allowing implementation of any sort of predictive actions and functions (learning prediction). The article aims to expose the process of innovation and redefinition of a learning analytics dashboard in the EduOpen MOOC platform in order to define a model to design it accurately in terms of productivity for all users (teachers and students above all). From the literature analysis, main MOOC platform comparisons and the insights from the round tables a time spent variable is identified as at the basis of the entire user experience in online training paths. A concrete experimentation, through the design of a learning timeline and a constructive feedback system of an upcoming course in the EduOpen catalogue, is designed and explained relaying on the hypothesis of the existence of a correlation between the “time spent” (time value) and the final performance of the student

How to design for persistence and retention in MOOCs?

Design of educational interventions is typically carried out following a design cycle involving phases of investigation, conceptualization, prototyping, implementation, execution and evaluation. This cycle can be applied at different levels of granularity e.g. learning activity, module, course or programme. In this paper we consider an aspect of learner behavior that can be critical to the success of many MOOCs i.e. their persistence to study, and the related theme of learner retention. We reflect on the impact that consideration of these can have on design decisions at different stages in the design cycle with the aim of en-hancing MOOC design in relation to learner persistence and retention, with particular attention to the European context

Developing a collaborative MOOC learning environment utilizing video sharing with discussion summarization as added-value

With the fast-growing Massive Open Online Courses (MOOC) community and the increase in the number of Learning Management Systems (LMSs) available online, the amount of shared information is massive. Current LMS - in particular MOOC providers - offer many advanced content delivery techniques: interactive video, active retrieval practices, and quizzes to enhance the pedagogical process. The main knowledge creation assets within MOOCs are encapsulated in other tools such as discussion forums, blogs, and wikis. Although these tools exist as separate entities within the platform, they still follow traditional techniques. We believe these tools need to be fully integrated to the main content and encourage spontaneous collaboration. From my experience with some MOOCs, the amount of collaboration and information-sharing is still overwhelming due to the massive number of participants and the limited range of collaborative tools. However, most of the shared information could be redundant or irrelevant. This information must be processed in order to provide the most concise knowledge. Therefore, we need to summarize this information from the discussions, blogs, and wikis and include the most relevant data in the course content. This thesis addresses this shortcoming by suggesting a new system with two primary components to accomplish this task. In the first component, we link the discussion tools to the main course content. Then, in the second component, we apply Natural Language Processing (NLP) techniques to present a summary of all shared content. We use techniques such as Term Frequency - Inverse Document Frequency (TF-IDF), stemming algorithm, Vector Space Model (VSM), and Cosine Similarity to rank the sentences. We then tune the TF-IDF values and boost the sentence ranks using the main content by delegating the first component’s features. The next step involves choosing the most relevant sentence to build our summary. Finally, we evaluate our result using Recall-Oriented Understudy for Gisting Evaluation (ROUGE) system, which compares our automated summary to human extracted summaries. These results demonstrate that we can achieve high improvement summar y compared to the baseline and other similar techniques

Prediction of students’ performance in e-learning environment using random forest

The need of advancement in e-learning technology causes educational data to become very huge and increase very rapidly. The data is generated daily as a result of students interaction with e-learning environment, especially learning management systems. The data contain hidden information about the participation of students in various activities of e-learning which when revealed can be used to associate with the students performance. Predicting the performance of students based on the use of e-learning system in educational institutions is a major concern and has become very important for education managements to better understand why so many students perform poorly or even fail in their studies. However, it is difficult to do the prediction due to the diverse factors or characteristics that influence their performance. This dissertation is aimed at predicting students performance by considering the students interaction in e-learning environment, their assessment marks and their prerequisite knowledge as prediction features. Random Forest algorithm, which is an ensemble of decision trees, has been used for prediction and the comparative analysis shows that the algorithm outperforms the popular decision tree and K-Nearest Neighbor algorithms. However, Naive Bayes outperformed Random Forest. In addition to the performance prediction, Random Forest was also used to identify the significant attributes that influence students performance, which was validated by a statistical test using Pearson correlation. The research therefore, revealed that lab task, assignments, midterm and prerequisite knowledge are significant indicators of students performance predictions

MOOCKnowledge: Establishing a large-scale data-collection about participants of European Open Online Courses

While MOOCS have emerged as a new form of open online education around the world,there are still no cross- provider and large-scale data collections that provides reliable information about demographic details of the population of MOOC participants on the one hand, and their motivation, intentions, social context, lifelong learning profile and impact on study success and career development on the other hand. The MOOCKnowledge project is an initiative to establish a large-scale data-collection about participants of European MOOCs. In this paper we describe the motivation behind the project and discuss the research focus. We explain the structure of the survey instrument, report about the data collection process and provide an outlook on potential future developments of the project.JRC.J.3-Information Societ