32 research outputs found

    Insider Action Research On AI Needs Within The EIT Innoenergy Ecosystem

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    This practice paper describes an ongoing insider action research within the EIT InnoEnergy ecosystem. Its goal is to inspire teaching staff from the seven EIT InnoEnergy double degree Master of Science programmes to integrate Artificial Intelligence (AI) tools and knowledge into their courses based on joint learning. This insider action research runs from 2023 to the end of 2024. In late 2022, a problem statement of ‘AI tools for Education’ was identified by EIT InnoEnergy teachers as being crucial for their future learning and teaching processes. To align the needs of teaching staff with the complexity of emerging AI tools, a decision was made to plan a hybrid insider action research method. The outcome of this research will be twofold: one resulting in an AI toolkit covering three teaching staff needs, and two getting a better understanding of the processes involved in taking up a learning innovation at different engineering partner universities spread across Europe within the EIT InnoEnergy ecosystem. This paper shares the first phases of the insider action research and an overview of the individual AI initiatives taken by teaching staff at different partner universities that is the result of a first qualitative data analysis coming from initiatives shared by the insiders (i.e., teaching staff). Action research methodology was chosen to inspire teaching staff to take an investigative and experimental attitude to the new AI technologies while allowing all actors to support each other and grow towards an AI integration in courses and curricula

    Research Trends in Massive Open Online Course (MOOC) Theses and Dissertations: Surfing the Tsunami Wave

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    Massive Open Online Courses (MOOCs) have attracted a great deal of attention by higher education and private enterprises. MOOCs have evolved considerably since their emergence in 2008, all the while given rise to academic discussions on MOOC impact, design and reach. In an effort to understand MOOCs more comprehensively, this study analyzes theses and dissertations (N = 51) related to MOOCs and published between 2008 and 2015, identifying research trends from these academic documents. Theses and dissertations within this research scope were gathered through a comprehensive search in multiple academic databases. For the purposes of the study, the research employed a systematic review approach. In order to reveal trends in research themes, emphasize theoretical/conceptual backgrounds, research designs and models, first a document analysis was used to collect data and this was followed by a content analysis. Our research findings indicate that MOOC research is generally derived from education, engineering and computer science, as well as information and communication technology related disciplines. Qualitative methodology linked to a case study research model is most common, and the theoretical/conceptual backgrounds are usually distance education related. Remarkably, nearly half of the studies didn’t benefit from any theoretical or conceptual perspectives. In sum, this study presents an evaluation regarding research trends derived from MOOC theses and dissertations, and provides directions for future MOOC research

    Mobile Learning: Solutions & Challenges

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    In this session, Marguerite Koole, Fatma Elsayed Meawad, and Inge de Waard will describe two mobile learning projects: 1. A project piloting a Java-based system called “MobiGlam”. Through MobiGlam, students accessed Moodle course modules on their mobile devices. Evaluations from this 2008 project highlighted some interesting challenges in the Canadian context. 2. A mobile learning project of the Institute of Tropical Medicine in Antwerp, Belgium and the Institute of Tropical Medicine Alexander von Humboldt, Lima, Peru. Twenty physicians, deployed in urban peripheral HIV/AIDS clinics in Peru, used Smartphones with portable solar chargers to access 3D simulations of interactive clinical cases, discussion forums, and quizzes.Elluminat

    Using mLearning and MOOCs to understand chaos, emergence, and complexity in education

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    In this paper, we look at how the massive open online course (MOOC) format developed by connectivist researchers and enthusiasts can help analyze the complexity, emergence, and chaos at work in the field of education today. We do this through the prism of a MobiMOOC, a six-week course focusing on mLearning that ran from April to May 2011. MobiMOOC embraced the core MOOC components of self-organization, connectedness, openness, complexity, and the resulting chaos, and, as such, serves as an interesting paradigm for new educational orders that are currently emerging in the field. We discuss the nature of participation in MobiMOOC, the use of mobile technology and social media, and how these factors contributed to a chaotic learning environment with emerging phenomena. These emerging phenomena resulted in a transformative educational paradigm

    Emotive Vocabulary in MOOCs: Context & Participant Retention

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    Massive Online Open Courses (MOOCs) have been growing in popularity with educational researchers, instructors, and learners in online environments. Online discussions are as important in MOOCs as in other online courses. Online discussions that occur in MOOCs are influenced by additional factors resulting from their volatile and voluntary participation structure. This article aims to examine discussions that took place in MobiMOOC in the spring of 2011, a MOOC structured around mobile learning. This line of inquiry focused on language from the discussions that contained emotive vocabulary in the MobiMOOC discussion forums. Emotive vocabulary is words or phrases that are implicitly emotional (happy, sad, frustrated) or relate to emotional contexts (I wasn't able to...). This emotive vocabulary, when present, was examined to determine whether it could serve as a mechanism for predicting future and continued participation in the MOOC. In this research, narrative inquiry approach was used in order to shine a light on the possible predictive qualities of emotive text in both participants who withdrew from the course as well as moderately or moderately active participants. The results indicated that emotive vocabulary usage did not significantly predict or impact participation retention in MobiMOOC. (Contains 5 figures and 4 endnotes.)Fil: Koutropoulos, Apostolos. University of Massachussets; Estados UnidosFil: Gallagher, Michael Sean. University of London; Reino UnidoFil: Abajian, Sean C.. California State University; Estados UnidosFil: Inge de Waard. Institute of Tropical Medicine; BélgicaFil: Hogue, Rebecca Joanne. University of Ottawa; CanadáFil: Keskin, Nilgün Özdamar. Anadolu University; TurquíaFil: Rodriguez, Carlos Osvaldo. Universidad Nacional de La Plata; Argentin

    Emotive Vocabulary in MOOCs: Context & Participant Retention

    Get PDF
    Massive Online Open Courses (MOOCs) have been growing in popularity with educational researchers, instructors, and learners in online environments. Online discussions are as important in MOOCs as in other online courses. Online discussions that occur in MOOCs are influenced by additional factors resulting from their volatile and voluntary participation structure. This article aims to examine discussions that took place in MobiMOOC in the spring of 2011, a MOOC structured around mobile learning. This line of inquiry focused on language from the discussions that contained emotive vocabulary in the MobiMOOC discussion forums. Emotive vocabulary is words or phrases that are implicitly emotional (happy, sad, frustrated) or relate to emotional contexts (I wasn't able to...). This emotive vocabulary, when present, was examined to determine whether it could serve as a mechanism for predicting future and continued participation in the MOOC. In this research, narrative inquiry approach was used in order to shine a light on the possible predictive qualities of emotive text in both participants who withdrew from the course as well as moderately or moderately active participants. The results indicated that emotive vocabulary usage did not significantly predict or impact participation retention in MobiMOOC. (Contains 5 figures and 4 endnotes.)Fil: Koutropoulos, Apostolos. University of Massachussets; Estados UnidosFil: Gallagher, Michael Sean. University of London; Reino UnidoFil: Abajian, Sean C.. California State University; Estados UnidosFil: Inge de Waard. Institute of Tropical Medicine; BélgicaFil: Hogue, Rebecca Joanne. University of Ottawa; CanadáFil: Keskin, Nilgün Özdamar. Anadolu University; TurquíaFil: Rodriguez, Carlos Osvaldo. Universidad Nacional de La Plata; Argentin

    Merging MOOC and mLearning for Increased Learner Interaction

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    In this paper, the authors suggest the merger of the Massively Open Online Course (MOOC) format and mobile learning (mLearning) based on mutual affordances of both contemporary learning/teaching formats to investigate learner interactions and dialogues in an open online course. The paper presents a case study of how MobiMOOC, a course created using the MOOC format, demonstrates the synergistic characteristics between the MOOC format and mLearning, making a combination of both fields ideal for contemporary, digital, collaborative learning, and knowledge construction based on learner interactions and dialogue. MobiMOOC was a six-week online course focusing on mLearning that ran in April and May 2011. An endof-course survey providesinsight thatsupportsthe synergies between MOOCs and mLearning: collaboration, informal and lifelong learning, and dialogue.Fil: De Waard, Inge. Athabasca University; BélgicaFil: Koutropoulos, Apostolos. University of Massachusetts; Estados UnidosFil: Hogue, Rebecca J.. University of Ottawa; CanadáFil: Abajian, Sean C.. California State University Northridge (calif. State Univ. Northridge);Fil: Keskin, Nilgün Özdamar. Anadolu University; TurquíaFil: Rodriguez, Carlos Osvaldo. Universidad del Cema. Departamento de Ingeniería Informatica; Argentina. Universidad Nacional de La Plata; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Gallagher, Michael Sean. University of Edinburgh; Reino Unid
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