Search results for " Learning"
showing 10 items of 5299 documents
A realist approach to thematic analysis: making sense of qualitative data through experiential, inferential and dispositional themes
2021
Thematic analysis (TA) is the most widely used method for analysing qualitative data. Recent debates, highlighting the binary distinctions between reflexive TA grounded within the qualitative parad...
Social interaction learning strategies, motivation, first-year students’ experiences and permanence in university studies
2017
Applying a structural equations modelling methodology, the study analyses the relationships and effects of self-regulated learning (social interaction learning strategies and motivation) and first-...
A Model of Positive and Negative Learning
2017
This chapter proposes a model of positive and negative learning (PNL model). We use the term negative learning when stress among students occurs, and when knowledge and abilities are not properly developed. We use the term positive learning if motivation is high and active learning occurs. The PNL model proposes that (a) learning-related demands and resources contribute to learning engagement and burnout, (b) that learning engagement improves critical thinking, which (c) should enhance students’ abilities to detect fake news. Two studies demonstrate the validity of the learning engagement and burnout constructs, and learning-related demands and resources as possible antecedents. Also, criti…
Holistic Literature Education as an Effective Tool for Social-Emotional Learning
2021
This chapter concerns a model of holistic, structured literature education, which has pedagogical value for social-emotional learning. Fiction supports children's personal growth in many ways. The special emphasis lies on the reading process, which aims at empathizing reading and sharing of text-based emotions and experiences. Further individual and common arts-based meaning-making is an intrinsic part of the reading process. The empathized reading process as well as supportive reading environment need to raise educators' consciousness. Creative, arts-based activities offer channels to make children's interpretations of fictional texts visible. There are several presented examples of arts-b…
Improving Residents’ Quality of Life Through Sustainable Experiential Mega-Events: High- Versus Low-Context Cultures
2020
Public managers need to improve city residents’ quality of life as a first step to boost its tourism development. Marketing strategies can play a useful role, as the city marketing theory states. The present article aims to compare the efficacy of two marketing strategies embedded in a public mega-event: (a) an experiential strategy, based on emotions encourage during the event and (b) a green strategy, based on green actions linked to this event. Furthermore, following Hall’s theory of cultural determination, this article aims to compare these strategies’ efficacy in two alternative cultures: a high-context (Mexico) and a low-context culture (Spain). We contacted 202 and 204 residents in …
Agency at Work, Learning and Professional Development: An Introduction
2017
The concept of agency refers to individuals’ capacity to make choices and to act on these choices to exert control over their lives. Such notions of agency have become increasingly popular within discourses on professional learning and development over the last 10–20 years. Unfortunately, these discourses have been rather abstract in nature. In addition, the various research strands concerned with agency in the workplace and its relationship to learning have been insufficiently integrated. The present book thus aims to collect, integrate and discuss within a single volume the range of perspectives on agency at work and the empirical research generated by these perspectives. It is hoped that…
Daily Fluctuations in Motivation
2019
Abstract. Intrinsic and extrinsic motivation are related to learning success and academic achievement of university students. Process models of self-regulated learning (SRL) suggest that daily academic motivation is affected by study satisfaction on the previous day. In this study, we conducted a secondary analysis of the data by Liborius et al. (2019) , in which the study behavior of a total of 105 students was surveyed daily over 154 days (including both the lecture period and non-lecture period). We tested a mediation model, assuming that SRL components (planning, self-efficacy, time investment, concentration, effort, and procrastination) increase intrinsic motivation and decrease extri…
Design and validation of a music technology course for initial music teacher education based on the TPACK Model and the Project-Based Learning approa…
2019
This project outlines a design for, and presents an evaluation and validation of, an information and communication technology (ICT) training course on an initial teacher education programme for pre-service music teachers at a Spanish University. The primary objective was to improve initial teacher education in music technology through a course design with two key components: (1) constructivist learning through collaborative projects (PBL) and (2) the technological pedagogical content knowledge (TPACK) integration framework. The course saw students carry out four real-life projects, three of which involved the elaboration of educational material through the exclusive use of musical technolog…
Cell state prediction through distributed estimation of transmit power
2019
Determining the state of each cell, for instance, cell outages, in a densely deployed cellular network is a difficult problem. Several prior studies have used minimization of drive test (MDT) reports to detect cell outages. In this paper, we propose a two step process. First, using the MDT reports, we estimate the serving base station’s transmit power for each user. Second, we learn summary statistics of estimated transmit power for various networks states and use these to classify the network state on test data. Our approach is able to achieve an accuracy of 96% on an NS-3 simulation dataset. Decision tree, random forest and SVM classifiers were able to achieve a classification accuracy of…
Dynamic Functional Connectivity Captures Individuals’ Unique Brain Signatures
2020
Recent neuroimaging evidence suggest that there exists a unique individual-specific functional connectivity (FC) pattern consistent across tasks. The objective of our study is to utilize FC patterns to identify an individual using a supervised machine learning approach. To this end, we use two previously published data sets that comprises resting-state and task-based fMRI responses. We use static FC measures as input to a linear classifier to evaluate its performance. We additionally extend this analysis to capture dynamic FC using two approaches: the common sliding window approach and the more recent phase synchrony-based measure. We found that the classification models using dynamic FC pa…