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Investments in training and development programs are steadily increasing in organizations. Along with them, the concern of companies in analyzing the results of their programs grows. This study has the objective of building an evaluation model of training results, proposed for the Coil Finishing area of a Pulp and Paper company, using the Kirkpatrick methodology, which proposes the division of the evaluation into 4 levels, which are: Reaction, Learning, Behavior and Results. The final model is presented, and may guide other studies in the creation of their own models, however, indicators and data should be adapted to each organizational situation, considering their particularities. [ABSTRACT FROM AUTHOR]

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Copyright of Cuadernos del Centro de Estudios de Diseño y Comunicación is the property of Cuadernos del Centro de Estudios de Diseno y Comunicacion and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This paper analyses the result of applying podcasts as a teaching-learning tool for university students. Using a quantitative methodology, with a descriptive and correlational design, Levene's inferential t-test for equality of variances was used to compare two groups of students to assess if there are differences regarding the academic, design, usability and learning variables, in order to verify the differences between students creating the contents and those only listening to the end result. A sample of 461 students was used in this research, distributed in two groups. In the first group, the teaching staff oversaw preparing and carrying out the dynamics of the podcast. In the second group, the students collaboratively created the podcast. To analyse the differences between the two groups, the Educational Innovation Questionnaire (CINNE) was applied, based on the Podcast Evaluation Questionnaire, QAEP (Alarcón and Blanca, 2020), and the SUS Scale (Brooke, 2013). The results indicate significant differences (99.95% CI 99.95%) between the groups in the usability and design dimensions. No gender differences were found. In conclusion, this research paper has confirmed the effectiveness of using podcasts as a didactic strategy, in particular regarding its accessibility, use, and design by students. [ABSTRACT FROM AUTHOR]

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This paper has two main objectives: to generate intelligibility about the English learning experiences of a group of Undergraduate students, as well as to understand the process of discursive reconstruction of those experiences. Bearing these goals in mind, the category of perezhivanie (affective experience) is used aiming to comprehend theoretically the role of these affective experiences in the students' subjective English learning pathways. Semistructured interviews were performed with the students of the Chemistry Teacher Formation Program of the Federal Institute of Maranhão - Campus Codó. In order to understand the different ways our affective experiences are materialized in discourse, this study employs the Appraisal System as an analytical tool to examine the meaning of the appraisals realized encoded in the narratives. The results demonstrate that the affective elements play a key role in the teaching-learning of English and that the appraisal represents an important tool for the reconstruction of our affective experiences. [ABSTRACT FROM AUTHOR]

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The assumption of cause-effect relationships in ex post facto research is a widely known issue in the field of research methods in social sciences. To address this important limitation, the use of causal inference techniques has become widespread in recent years. Causal inference establishes a set of statistical procedures for drawing causal conclusions in non-experimental research. Despite its wide popularity and diffusion in the social and health sciences, its use in educational research is still marginal. Thus, this paper introduces the main causal inference techniques available to the educational researcher when observational panel data are available. After addressing the key features and potential of propensity score matching, instrumental variables, and regression discontinuity design, we present an example application of each of these techniques. We used the available databases from the PISA 2018 assessments. We included the mathematical competence as the dependent variable in all the three models implemented. Given the different characteristics of each of these techniques, the independent variable used is different in the three models applied: attendance to early childhood education in propensity score matching; student academic expectations in instrumental variables; and size of the community in which the school is located in regression discontinuity design. The article concludes by discussing the potential of this set of techniques, taking into account the needs and methodological procedures most commonly applied in educational research. [ABSTRACT FROM AUTHOR]

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