scholarly journals The dinosaur that lost its head: A contribution to a framework using Learning Analytics in Learning Design

2019 ◽  
Vol 12 (21) ◽  
pp. 21 ◽  
Author(s):  
René Boyer Christiansen ◽  
Karsten Gynther ◽  
Rasmus Jørnø

This paper presents an approach to the meaningful use of learning analytics as a tool for teachers to improve the robustness of their learning designs. The approach is based on examining how participants act within a Massive Open Online Course (MOOC) format through learning analytics. We show that a teacher/designer can gain knowledge about his or her intended, implemented and attained learning design; about how MOOC participants act in response to these and about how students are able to develop ‘study efficiency’ when participating in a MOOC. The learning analytics approach makes it possible to follow certain MOOC students and their study behaviour (e.g. the participants who pass the MOOC by earning enough achievement badges) and to examine the role of the moderator in MOOCs, showing that scaffolding plays a central role in studying and learning processes in an educational format such as a MOOC. Key words: MOOCs, Massive Open Online Courses, data-saturated, learning analytics, learning design, educational design research, LMS.

Author(s):  
Hermano Carmo ◽  
Teresa Maia e Carmo

A sociedade contemporânea é marcada por três macrotendências que a identificam como uma sociedade singular na história humana: processo de mudança acelerada, desigualdade crescente e fibrilhação dos sistemas de poder. Tais tendências têm tido como efeitos um quadro de ameaças e oportunidades que tanto têm constituído gigantesco desafio aos sistemas educativos quanto configuram a urgência de ressocialização de todas as gerações vivas no sentido da construção de uma cidadania global. Nesse contexto, propõe-se um modelo que configura uma estratégia de educação para a cidadania, com dois eixos, quatro vertentes e dez áreas-chave. Seguidamente, descreve-se e discute-se a emergência quase explosiva dos Massive Open Online Courses (MOOC) a partir de instituições de ensino superior internacionalmente reconhecidas, no quadro do novo paradigma digital, sua diversidade e seu potencial ainda em aberto. Confrontando a nova abordagem educativa com o modelo de educação para a cidadania proposto, conclui-se constituir um meio robusto para o potenciar.Palavras-chave:Conjuntura. Macrotendências. Educação para a cidadania. MOOC. Tecnologia educativa. Paradigma digital.Link: http://revista.ibict.br/inclusao/article/view/4171/3642


Author(s):  
Whitney Kilgore ◽  
Patrick R. Lowenthal

The Human Element Massive Open Online Course (MOOC) on the Canvas open network was designed to be a connectivist experience exploring methods for the humanization of online education. This MOOC introduced and discussed methods that faculty could adopt in order to potentially increase instructor presence, social presence, and cognitive presence within their own online courses. The design of the MOOC and the learners' perceptions of social presence after taking part in this MOOC are discussed in this chapter.


Author(s):  
Shweta Pandey ◽  
Satyam Prakash Tripathi

As the Massive Open Online Course (MOOC) concept is adding a new dimension to online learning and presenting a deeper impact in different disciplines including the library and information science area, library and information science professionals are producing scholarly literature on MOOC-related issues. Through this chapter, the authors gave the overview of the genesis of MOOCs in a new learning environment. This article gives the outlook of MOOCs, which are one of the latest trends in education. This chapter also explores various literature reviews on the conceptual framework and discusses the online courses in general and specifically for LIS domain.


2016 ◽  
pp. 1736-1755
Author(s):  
Whitney Kilgore ◽  
Patrick R. Lowenthal

The Human Element Massive Open Online Course (MOOC) on the Canvas open network was designed to be a connectivist experience exploring methods for the humanization of online education. This MOOC introduced and discussed methods that faculty could adopt in order to potentially increase instructor presence, social presence, and cognitive presence within their own online courses. The design of the MOOC and the learners' perceptions of social presence after taking part in this MOOC are discussed in this chapter.


Author(s):  
Sara Assami ◽  
Najima Daoudi ◽  
Rachida Ajhoun

<p class="0abstract">For an innovation producing education, MOOC (Massive Open Online Course) platforms offer a plethora of learning resources and pedagogical activities to support the university’s 4.0 new era and the lifelong learning movement. Nevertheless, the rapid advances in learning technologies imply the need for personalized guidance for learners and adapted learning materials. In this paper we seek to enhance the MOOC learner experience by providing a semantic recommender system for the diversity and abundance of MOOCs available for learners. Firstly, the paper analyses the state of the art of the semantic recommendation approach in a distance learning context. Then it describes the proposed MOOC recommendation system that uses the ontological representation of the learner model and MOOCs content to make its intelligent suggestions. Finally, we explore the development phases of the semantic MOOC recommendation system to define the implications for the progress of our research.</p>


2020 ◽  
Vol 17 (3) ◽  
pp. 236-252
Author(s):  
Samaa Haniya ◽  
Luc Paquette

Understanding learner participation is essential to any learning environment to enhance teaching and learning, especially in large scale digital spaces, such as massive open online courses. However, there is a lack of research to fully capture the dynamic nature of massive open online courses and the different ways learners participate in these emerging massive e-learning ecologies. To fill in the research gap, this paper attempted to investigate the relationship between how learners choose to participate in a massive open online course, their initial motivation for learning, and the barriers they faced throughout the course. This was achieved through a combination of data-driven clustering approaches—to identify patterns of learner participation—and qualitative analysis of survey data—to better understand the learners’ motivation and the barriers they faced during the course. Through this study we show how, within the context of a Coursera massive open online course offered by the University of Illinois, learners with varied patterns of participation (Advanced, Balanced, Early, Limited, and Delayed Participation) reported similar motivations and barriers, but described differences in how their participation was impacted by those factors. These findings are significant to gain insights about learners’ needs which in turn serve as the basis to innovate more adaptive and personalized learning experiences and thus advance learning in these large scale environments.


Author(s):  
Mohammed A. Gharawi ◽  
Azman Bidin ◽  
Koo Ah Choo

Massive open online courses’ technology is becoming the most recent innovations in online education and academia. Recently, it has been widely adopted in educational sectors and gained popularity among both students and instructors. Massive open online courses have rapidly become a trend in the field of higher education and received much recognition from scholars and non-profit educational organizations. Therefore, there has been a growing interest in investigating its limitations, challenges, and impact on education. Some issues and problems have been reported in the research and practice, such as problems related to massive open online course learners’ motivation and engagement during the courses, and course contents’ presentations have a significant impact on learner’s motivation. However, there have been few contributions to the literature in discerning the varying motivational drivers for choosing to consume the different presentation styles of massive open online courses. Therefore, the main goal of this work is to propose an innovative framework for adaptive massive open online course based on learners’ preferences. As such, the courses’ presentations are adapted to the preferred learning style of each learner. In this regard, this paper was conducted based on quantitative research methods.


2020 ◽  
Author(s):  
Matthew Charles Strehlow ◽  
Kelly Zhang Aluri ◽  
Jamie Sewan Johnston ◽  
Charles G Prober ◽  
Peter Corrigan Acker ◽  
...  

BACKGROUND The COVID-19 pandemic created an urgent global need for healthcare worker (HCW) training. Initial COVID-19-related online courses focused primarily on training public health workers and physicians caring for patients in intensive care units (ICUs). However, in resource-constrained settings, nurses and general practitioners are responsible for providing most COVID-19 patient medical care, typically lacking the training and equipment necessary to manage complex, critically ill patients. In these environments, early recognition and interventions to prevent patient deterioration are essential to optimizing outcomes. We developed a massive open online course (MOOC) for HCWs in resource-constrained settings aimed at training bedside providers caring for patients with COVID-19. OBJECTIVE This study evaluates the impact of this MOOC by assessing HCW course engagement, knowledge, confidence in caring for COVID-19 patients, and user experience. METHODS From May thru June of 2020, the course was rapidly developed by a team of physicians, educators, medical illustrators, and education technology staff, and was subsequently launched on two online platforms in July 2020. The approximately 4-hour course comprises 6 video-based modules with accompanying handouts. Student knowledge was assessed using pre- and post-module quizzes and a final exam, while demographics and user experience were evaluated by pre- and post-course surveys and data collected through the platforms. RESULTS From July 17th to September 24th, 30,859 students enrolled, 18,818 started, and 7,101 completed the course. Most participants worked in healthcare (86%) and resided in lower middle- (36%) or upper middle- (21%) income countries. Higher course completion rates were observed among learners who were from upper middle-income (aOR 1.152 [95% CI 1.019-1.303]) and lower middle-income countries (aOR 1.229 [95% CI 1.104-1.368]). Significant knowledge gains were observed from pre-module (mean 56% [SD 17%]) to post-module quizzes (80% [SD 15%], P<.001), and from pre-module quizzes to the final exam (78% [SD 17%], P<.001). After course completion, participants reported increased self-efficacy regarding the course objectives, with a 0.63 mean increase on a 4-point scale (95% CI [0.60,0.66]). Overall, there was high satisfaction with the course experience, with 93% of participants reporting they would recommend the course to others. CONCLUSIONS This study demonstrates the potential of MOOCs to rapidly provide access to emerging medical knowledge during a public health crisis, particularly for HCWs in high- and middle-income countries. Further research is required to understand the impact of such online courses on patient care and how to better reach learners in low-income countries.


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