Ángela María Muñoz Muñoz, Sergio Augusto Cardona Torres, Cristhian Camilo Rodríguez Molina, Wilmar Stiven Valencia Cardona
{"title":"Technological tool to assess computational thinking","authors":"Ángela María Muñoz Muñoz, Sergio Augusto Cardona Torres, Cristhian Camilo Rodríguez Molina, Wilmar Stiven Valencia Cardona","doi":"10.1109/LACLO56648.2022.10013387","DOIUrl":"https://doi.org/10.1109/LACLO56648.2022.10013387","url":null,"abstract":"The educational challenges of society permeated by digital technologies are aimed at developing skills to identify and solve environment problems. In this context, computational thinking (CT) emerges as a set of skills to be developed from an early age, which requires the empowerment of programming and demands the use of technological tools. The purpose of this article is to present the design and implementation process of a computer tool for CT evaluation, as well as its validation with a sample of elementary school students from a public institution in Colombia. The methodology focuses on the phases of the SCRUM development process. The results show that women perceive less difficulty in understanding the activities to be solved. It is possible to obtain a web application type software taking into account the evaluated characteristics of the tools used for CT teaching, covering most of these, and with special emphasis on some such as the content in Spanish, instructional model, management of the course, learning activities, monitoring, feedback and gamification.","PeriodicalId":111811,"journal":{"name":"2022 XVII Latin American Conference on Learning Technologies (LACLO)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122346959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. Pérez, E. Dapena, J. Aguilar, Gilberto Carrillo
{"title":"Reinforcement Learning for Estimating Student Proficiency in Math Word Problems","authors":"J. Pérez, E. Dapena, J. Aguilar, Gilberto Carrillo","doi":"10.1109/LACLO56648.2022.10013399","DOIUrl":"https://doi.org/10.1109/LACLO56648.2022.10013399","url":null,"abstract":"Math Word Problems (MWPs) allow preparing students to apply mathematical skills in everyday life. Teaching MWPs is challenging because the mathematics difficulties of individual students vary across students within a class. In this paper, it is proposed a reinforcement learning algorithm based on Q-learning for estimating individual student proficiency according to the basic arithmetic operations: addition, subtraction, multiplication, and division. The proposal is analyzed by simulating interactions with hand-coded users but tested by simulating interactions with data-driven users. In addition, results are compared with those in a common Cognitive Diagnosis Model (CDM). Results show that our approach allows estimating the individual student proficiency in around 5 episodes. Thus, since reinforcement learning usually is applied to induce instructional policies in tutoring systems, this paper shows that it can be used for estimating student proficiency as well.","PeriodicalId":111811,"journal":{"name":"2022 XVII Latin American Conference on Learning Technologies (LACLO)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114511930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Karolayn Angélica Castillo-Chumpitaz, Sandra Gutiérrez-Gargurevich, José Agustín Haya de la Torre Castro
{"title":"Collaborative Learning and Emergency Remote Teaching in Interpreter Training: Teachers’ and Students’ Experiences During COVID-19","authors":"Karolayn Angélica Castillo-Chumpitaz, Sandra Gutiérrez-Gargurevich, José Agustín Haya de la Torre Castro","doi":"10.1109/LACLO56648.2022.10013419","DOIUrl":"https://doi.org/10.1109/LACLO56648.2022.10013419","url":null,"abstract":"Mandatory social distancing due to COVID-19 presented the challenge of shifting on-site education to virtual learning environments in order to resume lessons in universities around the world. In this context, Universidad Peruana de Ciencias Aplicadas (UPC) had to shift its Educational Model to Emergency Remote Teaching (ERT). This study aims to analyze Collaborative Learning in the process of adapting the virtual learning environment (VLE) used in the four Interpreter Training courses belonging to UPC's undergraduate program in Professional Translation and Interpretation (TIP) during the two academic terms of ERT in 2020. Six interpreter trainers were interviewed to explore their perspectives on adapting the VLE to allow and promote Collaborative Learning in their classes during ERT, while eleven interpreting students shared their perceptions on this VLE's effectiveness in a focus group. Results show how Collaborative Learning was developed through bonds of Positive Interdependence and Promotive Interaction between members of the learning community, both teachers and students.","PeriodicalId":111811,"journal":{"name":"2022 XVII Latin American Conference on Learning Technologies (LACLO)","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128173134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yasmin Carolina Carneiro, João Pedro Carpanezi dos Santos, Anderson Belgamo, André Luíz Ferreira, P. B. Faleiros
{"title":"A Hybrid Application for Prisoner's Dilemma Game","authors":"Yasmin Carolina Carneiro, João Pedro Carpanezi dos Santos, Anderson Belgamo, André Luíz Ferreira, P. B. Faleiros","doi":"10.1109/LACLO56648.2022.10013392","DOIUrl":"https://doi.org/10.1109/LACLO56648.2022.10013392","url":null,"abstract":"The use of applications for mobile devices have been used in the lea rning of several theories and/or concepts. Specifically related to Game Theory, the use of applications has gained unique importance, especially when games that discuss interpersonal relationships are used. In this regard, the Prisoner's Dilemma Game is a tool that allows demonstrating the importance of social phenomena, such as cooperation, generosity and reciprocity, as well as for discussing ethics and altruism in the promotion and maintenance of social relationships. Knowledge areas such as Economics, Biology, Politics, International Relations and Psychology have used the game to teach, discuss and analyze how such phenomena can be approached. Thus, this article aims to present the development of a hybrid application that implements the Prisoner's Dilemma Game. An important feature is the possibility of choosing strategies as well as other resources that the game allows, allowing the applicator to choose the game and its variables, according to the objective of its proposal and area of activity.","PeriodicalId":111811,"journal":{"name":"2022 XVII Latin American Conference on Learning Technologies (LACLO)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134405695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"LACLO 2022 17th Latin American Conference on Learning Technologies - LACLO: General Chairs Message","authors":"","doi":"10.1109/laclo56648.2022.10013317","DOIUrl":"https://doi.org/10.1109/laclo56648.2022.10013317","url":null,"abstract":"","PeriodicalId":111811,"journal":{"name":"2022 XVII Latin American Conference on Learning Technologies (LACLO)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122221224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Gernel S. Lumacad, Justine Vir C. Damasing, Sofiah Beatrice M. Tacastacas, Axl Ralph T. Quipanes
{"title":"Analyzing Sensitive Factors Affecting Online Academic Performance in the New Normal: A Machine Learning Perspective","authors":"Gernel S. Lumacad, Justine Vir C. Damasing, Sofiah Beatrice M. Tacastacas, Axl Ralph T. Quipanes","doi":"10.1109/LACLO56648.2022.10013373","DOIUrl":"https://doi.org/10.1109/LACLO56648.2022.10013373","url":null,"abstract":"Online distance learning (ODL) is one extension of the distance learning approach introduced by the Department of Education (DepEd) as part of its learning continuity in the new normal (COVID - 19 times). Despite the advantages brought by online learning in continuing learners' learning experiences and improving learners' academic performance during the pandemic, it is still of vital importance to examine what factors are sensitive to changes in learner's online academic performance. In this study, sensitive factors affecting online academic performance are examined through the lens of machine learning (ML) methods: Boruta algorithm (BA) for feature selection; multilayer perceptron neural network (MLP NN) for model formulation; and partial derivatives method (PDM) for sensitivity analysis. Data used in the analysis are responses in the survey participated by N = 978 senior high and junior school students of a private high school institution in the Philippines. Out of eighteen factors considered in the analysis, BA revealed only six relevant factors that contributes greater information to changes in student's online academic performance. Formulated MLP NN model achieved a high testing accuracy of 0.932 with a kappa coefficient of 0.891 and an f - measure of 0.924, that aided the sensitivity analysis using PDM to have better results. Sensitivity analysis showed that motivation and mental well- being are the most sensitive factors affecting both below average and above average online academic performance.","PeriodicalId":111811,"journal":{"name":"2022 XVII Latin American Conference on Learning Technologies (LACLO)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128727864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"LACLO 2022 17th Latin American Conference on Learning Technologies - LACLO: Program Chair Message","authors":"","doi":"10.1109/laclo56648.2022.10013418","DOIUrl":"https://doi.org/10.1109/laclo56648.2022.10013418","url":null,"abstract":"","PeriodicalId":111811,"journal":{"name":"2022 XVII Latin American Conference on Learning Technologies (LACLO)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123023507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Flash, who? On the Obsolescence of Digital Technology and Its Impact on E-learning Applications: A Case Study","authors":"Christian Grévisse","doi":"10.1109/LACLO56648.2022.10013411","DOIUrl":"https://doi.org/10.1109/LACLO56648.2022.10013411","url":null,"abstract":"Technology Enhanced Learning has seen a number of technologies during its history, from instructional video cassettes to smartphones and virtual reality environments. Inevitably, with technologies getting obsolete due to replacement or lack of support, TEL solutions face the issue of becoming non-functional. In addition, limited resources may force faculties to abandon certain solutions instead of recreating them with newer technologies. In this paper, we present a case study of an animal neurophysiology virtual lab that has recently suffered from the technology obsolescence phenomenon, both at software and hardware levels. Most importantly, the end of life of Flash was threatening the continuity of an e-learning course. We analyze the issues they were facing, establish a list of requirements for a possible solution and present the implemented changes. We finally perform a risk analysis of obsolescence for the technologies used in the new version of the virtual lab.111978-1-6654-6521-2/22/$31.00 2022 IEEE","PeriodicalId":111811,"journal":{"name":"2022 XVII Latin American Conference on Learning Technologies (LACLO)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121998007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Andrés Felipe Herrera Ramírez, Antonio Pareja-Lora
{"title":"An Analysis of Learning Platforms based on their Academic Assessment Instruments","authors":"Andrés Felipe Herrera Ramírez, Antonio Pareja-Lora","doi":"10.1109/LACLO56648.2022.10013404","DOIUrl":"https://doi.org/10.1109/LACLO56648.2022.10013404","url":null,"abstract":"This paper describes the attributes (functions or characteristics) that learning platforms most frequently possess in terms of the way assessment instruments are managed or configured. Sixty-two platforms have been analyzed, and this analysis has allowed to identify 15 attributes associated with the management of assessment instruments. In order to fulfill the purpose of this study, the following steps were proposed: (1) web search of learning environments (either Learning Management Systems -LMS- or Learning Platforms -LP) used in the academic world; (2) filtering of the environments found, according to appropriate exclusion- inclusion criteria; (3) characterization of the dismissed LMS or LP according to their exclusion criteria; (4) identification and study of the attributes related to the management of assessment instruments or tests of each platform included in the study; (5) descriptive analysis of all the environments according to these attributes; and (6) statistical analysis of the data obtained. As a result, it has been obtained a list of 62 learning environments (LMS or LP) characterized in terms of 15 key attributes in the management of assessment instruments, of which only 40% were included in these environments, while 7 of them (almost half) are incorporated in less than 25% of the environments.","PeriodicalId":111811,"journal":{"name":"2022 XVII Latin American Conference on Learning Technologies (LACLO)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114923939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}