LACLO Sesión 2: Analítica de datos en educación (1)
Chair: Dr. Cristian Cechinel – Msc. Audrey Romero | https://utpl.zoom.us/j/146252405
- Synergic Case Study: Impact of Learning in Industry Training Center. India
- Autor(es): Chaya Lakshmi and Suparna Kapoor
- Abstract: This paper provides several recommendations to higher educational institutions for the skill development and over all development of a student. Most of the students enter higher education with less interest. It is necessary in higher education to provide more and more practical exposure rather than theoretical stuff in order to enhance the percentage of gross enrollment ratio. A pilot project is taken up by one of the leading engineering colleges and HAL Management Academy. 41 students from various branches have taken an elective subject and the feed back in the form of questionnaire is analyzed. The data showed that there is a significant enhancement in the qualities of an individual student after the course.
- Expositor(a): Chaya Lakshmi
- Design and Evaluation of a Dashboard for the Analysis of Learner Behavior and Prediction of Dropout in Moodle. Ecuador
- Autor(es): Bryan Aguilar, Edisson Sigua, Paola Pesántez and Jorge Maldonado-Mahauad
- Abstract: he rapid development of technology has meant that over the past two decades Information and Communications Technologies (ICT) become increasingly involved in the teaching process and seek to change traditional learning models. With the support of modern technology, virtual platforms that encourage the adoption of a new learning paradigm in which geographical/temporal limitations no longer pose a difficulty have been developed and refined. These virtual learning platforms, also known as Learning Management Systems (LMS), store student and teacher interactions with course resources, and these interactions are stored in database engines. However, all the information generated by LMS has not been processed in a way that is helpful for the use of teachers and students, mainly because in most cases, students' interactions with these systems focus on downloading class material, delivering assignments, and reading announcements, leaving aside indicators that can be presented in the form of visualizations that allow actions to be taken during the development of the learning process. Thus, this study proposes the implementation and evaluation of a dashboard for the analysis of learner behavior and prediction of dropout on the Moodle platform. The proposed tool will help students to manage their learning process, easily and effectively monitor their progress in an online course, and teachers to know what students do before, during and after a virtual class. The latter for the purpose of being able to detect early students at risk of dropping out.
- Expositor(a): Jorge Maldonado
- A Large-scale Analysis of App Inventor Projects. Brasil
- Autor(es): Nathalia da Cruz Alves, Christiane Gresse von Wangenheim and Jean Carlo R. Hauck
- Abstract: Teaching programming to K-12 students has become essential. In this context, App Inventor is a popular block-based programming environment used by a wide audience, from K-12 to higher education, including end-users to create mobile applications to support their primary job or hobbies. Although learning programming with App Inventor has been investigated, a question that remains is which programming concepts are typically used and how this compares to other block-based programming environments. Therefore, we explore the characteristics of App Inventor projects through a large-scale analysis of 88,606 apps from the App Inventor Gallery. We discovered that the size of App Inventor projects varies from projects with very few blocks to some surprisingly large projects with more than 60,000 blocks. In general, much fewer design components are used than programming blocks, as typically, to work properly, several programming blocks are necessary for each design component in an App Inventor project. In addition, we also compare our results with the analysis of 233,491 Scratch projects reported by Aivaloglou and Hermans . Several differences can be observed, as in App Inventor projects events are more predominant, with lesser use of conditionals and loops. These findings may guide the decision on the adoption of App Inventor for teaching computing depending on the specific learning objectives or indicate the need for tailoring the curricula.
- Expositor(a): Natalia da Cruz Alves
- How Does the Attitude to New Media influence the Evaluation of a new e-Learning Platform Among Current and Future Teachers? . Brasil
- Autor(es): Łukasz Tomczyk, Maria Amelia Eliseo, Valeria Farinazzo Martins, Ismar Frango Silveira, Lazar Stošić, Solomon Sunday Oyelere and Cibelle Amato
- Abstract: The aim of this study is to show the relationship between the attitude to new media in the group of future and current teachers and the evaluation of the new e-learning platform. The research problem is closely related to the development of digitally mediated education. It is the teachers who first experiment and are responsible for implementing new digital solutions in education. The research focuses on the juxtaposition of the motivation factor and evaluation of the new tool - learning environment - SELI (Smart Ecosystem for Learning and Inclusion) platform. The survey was conducted in Poland - Pedagogical University of Krakow in May-July 2020 on a sample of 226 people, mixing students (83.3%) and active teachers (16.7%) raising their professional qualifications. On the basis of the collected data, it was noted that: 1) positive attitude to media in one area of use, e.g. private is linear with positive attitude in another area, e.g. professional 2) attitude to new media is constant and does not change under the influence of testing new educational environments 3) the vast majority of teachers and future educators positively assess the use of ICT in education 4) only about 25% have mixed opinions about increasing motivation.
- Expositor(a): Łukasz Tomczyk