Desarrollo de un marco de análisis para la selección de metodologías de diseño de objetos de aprendizaje (OA) basado en criterios de calidad para contextos educativos específicos

Esta tesis está vinculada con las Tecnologías de la Información y Comunicación (TIC), y la Educación. Dentro de las mismas, el diseño y creación de materiales educativos digitales a través del paradigma de Objetos de Aprendizaje (OA) sigue siendo un reto a nivel superior, tanto para los educadores como para los equipos de producción de estos materiales educativos, puesto que su creación implica una lógica de diseño que excede lo netamente tecnológico. A lo anterior se suma, la falta de una definición práctica y consensuada sobre lo que es un OA, lo que ha originado una serie de propuestas y metodologías para el diseño y creación de OA desde distintas perspectivas tanto tecnológicas como educativas. Entonces, surgen algunas preguntas motivadoras que se plantean en el marco de esta tesis y son las siguientes: ¿Cuál es la relación que existe entre tecnología y educación en el paradigma de OA? ¿Qué tipos de propuestas y metodologías se han utilizado hasta la fecha para llevar a la práctica el diseño y creación de OA? ¿Es posible conocer cuál es la orientación (ya sea tecnológica o educativa) de una propuesta o metodología sin abordar su implementación? ¿Cómo puede un docente seleccionar una metodología que sea adecuada para el diseño y creación de OA para un contexto determinado? ¿Es posible desarrollar un marco de análisis que permita recomendar metodologías para diseñar OA para un contexto específico?Tesis de Magister en Tecnología Informática Aplicada en Educación - Facultad de Informática - UNLP. Directoras: Dra. Sanz Cecilia y Dra. Fernández-Pampillón Ana. Asesor Cientifico: Esp. Astudillo Gustav.Es revisión de: http://sedici.unlp.edu.ar/handle/10915/45063Facultad de Informátic

Desarrollo de un marco de análisis para la selección de metodologías de diseño de objetos de aprendizaje (OA) basado en criterios de calidad para contextos educativos específicos

Esta tesis está vinculada con las Tecnologías de la Información y Comunicación (TIC), y la Educación. Dentro de las mismas, el diseño y creación de materiales educativos digitales a través del paradigma de Objetos de Aprendizaje (OA) sigue siendo un reto a nivel superior, tanto para los educadores como para los equipos de producción de estos materiales educativos, puesto que su creación implica una lógica de diseño que excede lo netamente tecnológico. A lo anterior se suma, la falta de una definición práctica y consensuada sobre lo que es un OA, lo que ha originado una serie de propuestas y metodologías para el diseño y creación de OA desde distintas perspectivas tanto tecnológicas como educativas. Entonces, surgen algunas preguntas motivadoras que se plantean en el marco de esta tesis y son las siguientes: ¿Cuál es la relación que existe entre tecnología y educación en el paradigma de OA? ¿Qué tipos de propuestas y metodologías se han utilizado hasta la fecha para llevar a la práctica el diseño y creación de OA? ¿Es posible conocer cuál es la orientación (ya sea tecnológica o educativa) de una propuesta o metodología sin abordar su implementación? ¿Cómo puede un docente seleccionar una metodología que sea adecuada para el diseño y creación de OA para un contexto determinado? ¿Es posible desarrollar un marco de análisis que permita recomendar metodologías para diseñar OA para un contexto específico?Es revisión de: http://sedici.unlp.edu.ar/handle/10915/45063Tesis de Magister en Tecnología Informática Aplicada en Educación - Facultad de Informática - UNLP. Directoras: Dra. Sanz Cecilia y Dra. Fernández-Pampillón Ana. Asesor Cientifico: Esp. Astudillo Gustav.Facultad de Informátic

Desarrollo de un marco de análisis para la selección de metodologías de diseño de objetos de aprendizaje (OA) basado en criterios de calidad para contextos educativos específicos

En este trabajo se describe el proceso de desarrollo y validación de un marco de análisis que permite comparar metodologías de diseño de Objetos de Aprendizaje (OA) y seleccionar una acorde a las necesidades de un contexto educativo específico. El marco se ha denominado MASMDOA (Marco de Análisis para la Selección de una Metodología de Diseño de Objetos de Aprendizaje), y ha sido utilizado para un caso de estudio, donde a partir de una recopilación de metodologías de diseño de OA del contexto Iberoamericano, se busca seleccionar una para trabajar en el contexto de un taller de diseño y producción de OA. Se pudo constatar que MASMDOA facilita la selección de una metodología de diseño de OA que resulte adecuada para los requerimientos de un docente en un contexto específico. Para esto MASMDOA propone un conjunto de criterios que sirven para recomendar y caracterizar las metodologías a analizar y en un proceso de dos fases recomienda aquella metodología que cumple de mejor manera con los requerimientos del docente. En este trabajo se presenta MASMDOA, el caso de estudio donde se aplicó y los resultados obtenidos.This thesis described the process used for developing and validating an analysis framework that allows comparing design methodologies for the design of Learning Objects (LO) and selecting one based on the needs of a specific educational context. This framework is called MASMDOA (Analysis Framework for the Selection of a Learning Object Design Methodology), and it has been applied to a study case where, from a compilation of LO design methodologies used in IberoAmerica, one of these methodologies is selected to work in the context of a LO design and production workshop. MASMDOA proved useful for selecting a LO design methodology that is appropriate for the requirements of an educator in a specific context. To achieve this, MASMDOA proposes a set of criteria that are useful for recommending and characterizing the methodologies to be analyzed and, following a two-phase process, it recommends the methodology that is better suited for the educator's needs. In this work, we present MASMDOA, the study case to which it was applied, and the results obtained.Es revisado por: http://sedici.unlp.edu.ar/handle/10915/46986Facultad de Informátic

Lessons learned from the educational experience during COVID-19 from the perspective of Latin American university students

The COVID-19 pandemic impacted the educational context. University students were exposed to an educational transition from a face-to-face context to emergency remote teaching (ERT). This change affected the educational experience of students and teachers in general, and impacted their educational performance, as well as their emotional and mental health, among other aspects. However, learning from the successes during the ERT and reflecting on good and bad practices will allow us to configure effective learning scenarios that respond to the new normal. The objective of this paper is to describe and present the lessons learned during ERT from the experience of university students in Latin America who have already returned to face-to-face instruction. The study used a qualitative inductive approach and a phenomenographic design. The sample consisted of 640 undergraduate students (63% women) of higher education who experienced online education during the year 2021 and a face-to-face modality during the first semester of 2022, belonging to universities in Chile, Venezuela, and Ecuador. The results suggest that new learning scenarios should consider specific pedagogical practices, including active, collaborative, meaningful, and problem-based strategies, together with a diversity of feedback practices. It is concluded that the ERT brought good practices that should guide university educational policies

Design of a Tool to Support Self-Regulated Learning Strategies in MOOCs

The massive and open nature of MOOCs contribute to attracting a great diversity of learners. However, the learners who enroll in these types of courses have trouble achieving their course objectives. One reason for this is that they do not adequately self-regulate their learning. In this context, there are few tools to support these strategies in online learning environment. Also, the lack of metrics to evaluate the impact of the proposed tools makes it difficult to identify the key features of this type of tools. In this paper, we present the process for designing NoteMyProgress, a web application that complements a MOOC platform and supports self-regulated learning strategies. For designing NoteMyProgress we followed the Design Based Research methodology. For the evaluation of the tool, we conducted two case studies using a beta version of NoteMyProgress over three MOOCs offered in Coursera. The findings of these two case studies are presented as a set of lessons learned that inform about: (1) a list of requirements to inform the design of a second version of the tool; (2) a list of requirements that could serve as a reference for other developers to design new tools that support self-regulated learning in MOOCs

Predicting Learners' Success in a Self-paced MOOC Through Sequence Patterns of Self-regulated Learning

Proceeding of: 13th European Conference on Technology Enhanced Learning, EC-TEL 2018, Leeds, UK, September 3-5, 2018.In the past years, predictive models in Massive Open Online Courses (MOOCs) have focused on forecasting learners' success through their grades. The prediction of these grades is useful to identify problems that might lead to dropouts. However, most models in prior work predict categorical and continuous variables using low-level data. This paper contributes to extend current predictive models in the literature by considering coarse-grained variables related to Self-Regulated Learning (SRL). That is, using learners' self-reported SRL strategies and MOOC activity sequence patterns as predictors. Lineal and logistic regression modelling were used as a first approach of prediction with data collected from N = 2,035 learners who took a self-paced MOOC in Coursera. We identified two groups of learners: (1) Comprehensive, who follow the course path designed by the teacher; and (2) Targeting, who seek for the information required to pass assessments. For both type of learners, we found a group of variables as the most predictive: (1) the self-reported SRL strategies 'goal setting', 'strategic planning', 'elaboration' and 'help seeking'; (2) the activity sequences patterns 'only assessment', 'complete a video-lecture and try an assessment', 'explore the content' and 'try an assessment followed by a video-lecture'; and (3) learners' prior experience, together with the self-reported interest in course assessments, and the number of active days and time spent in the platform. These results show how to predict with more accuracy when students reach a certain status taking in to consideration not only low-level data, but complex data such as their SRL strategies.This work was supported by FONDECYT (Chile) under project initiation grant No.11150231, the MOOC-Maker Project (561533-EPP-1-2015-1-ES-EPPKA2-CBHE-JP), the LALA Project (586120-EPP-1-2017-1-ES-EPPKA2-CBHE-JP), and CONICYT/DOCTORADO NACIONAL 2016/21160081, the Spanish Ministry of Education, Culture and Sport, under an FPU fellowship (FPU016/00526) and the Spanish Ministry of Economy and Competiveness (Smartlet project, grant number TIN2017-85179-C3-1-R) funded by the Agencia Estatal de Investigación (AEI) and Fondo Europeo de Desarrollo Regional (FEDER).Publicad

Analysis framework for tailored selection of learning objects methodologies

This article described the process used for developing and validating an analysis framework that allows comparing design methodologies for the design creation of Learning Objects (LO) and selecting the one that best meets the needs of teachers based on the needs of a specific educational context. This framework is called MASMDOA (Analysis Framework for the Selection of a Learning Object Design and Deployment Methodology), and it has been applied to a case study where, from a compilation of LO design methodologies used in Ibero-America, one of these methodologies is selected to work in the context of a LO design and production workshop. MASMDOA proved useful for selecting a LO design and deployment methodology that is appropriate for the requirements of an educator in a specific context. To achieve this, MASMDOA proposes a set of criteria that are useful for recommending and characterizing the methodologies to be analyzed and, following a two-phase process, it recommends the methodology that is better suited for the educator's needs. In this paper, we present MASMDOA, the case study to which it was applied, and the results obtained.Atlanta Georgi

NoteMyProgress: Supporting learners’ self-regulated strategies in MOOCs

NoteMyProgress is a web tool for supporting learners’ self-regulation strategies in MOOC environments. NoteMyProgress lets learner take notes, define objectives and goals for their learning, strategically plan their learning activities, and track how they spend their time in the course. This demonstration presents the first prototype of NoteMyProgress, a Google Chrome plugin and web app that includes features for taking notes and managing the time learners spend on the course. Specifically, the article presents: (1) How NoteMyProgress is integrated with the Coursera learning platform to collect information on student learning activities; and (2) how learners can visualize their learning processes on the NoteMyProgress dashboard. This demonstration aims to show how NoteMyProgress, through interactive displays, lets learners monitor how they have spent their time in the course and how to take notes during their study sessions.Tallin

Recommending self-regulated learning strategies does not improve performance in a MOOC

Many committed learners struggle to achieve their goal of completing a Massive Open Online Course (MOOC). This work investigates self-regulated learning (SRL) in MOOCs and tests if encouraging the use of SRL strategies can improve course performance. We asked 17 highly successful learners about their strategies for how to succeed in a MOOC. Their responses were coded based on a SRL framework and synthesized into seven recommendations. In a randomized experiment, we evaluated the effect of providing the recommendations to learners in the same course (N = 653). Although most learners rated the study tips as very helpful, the intervention did not improve course persistence or achievement. Results suggest that a single SRL prompt at the beginning of the course provides insufficient support. Instead, embedding technological AIDS that adaptively support SRL throughout the course could better support learners in MOOCs.Edinburg