Search results for "learning"

Temporal perspective on the gender-related differences in online learning behaviour

2022

Although several studies suggested considering gender in online learning, the literature about how male and female students would behave is fragmented. Little attention has been paid to the effect of gender on online learning behavioural patterns. This study aimed at investigating the roles of gender in online learning behaviours by analyzing the gender-related differences of students’ online learning behavioural patterns. We used the case study approach with descriptive statistical analysis, lag sequential analysis, and temporal log data analysis to investigate gender-related differences in students’ online learning behaviours. The results indicated no significant difference in the counts …

Rationality, experiences or identity work? Sensemaking of emotionally tense experiences of organizational sustainability

2021

Purpose Although emotional tensions related to organizational sustainability have been identified, little is known about how employees aim to resolve such situations. This study aims to explore how employees use sensemaking to resolve emotionally tense situations concerning organizational sustainability. Design/methodology/approach The authors studied a case in which, while employees attached positive emotions to organizational sustainability, external stakeholders viewed it negatively. Specifically, the study analyzed how employees used sensemaking to resolve such tense experiences and how this sensemaking eventually influenced their actions. To this end, the authors interviewed 25 employ…

The contribution of action research to policy learning: The case of Gipuzkoa Sarean

2014

Published version of an article in the journal: International Journal of Action Research. Also available from the publisher at: http://dx.doi.org/10.1688/IJAR-2014-02-Karlsen This article is about a six year policy learning process named Gipuzkoa Sarean in the Basque province of Gipuzkoa. In the article we reflect on how action research contributed to policy learning. The process consists of three stages: 2009-2011: Initiation of the project and development of a work method; 2011-2013: Government learning and organisational change; 2013-2014: Social learning and the shift to a new approach to territorial development. For each stage we describe the background and main goal of the research pr…

Challenges and Opportunities of English Grammar Acquisition by Distance at the Tertiary Level

2021

Distance learning introduced in almost all educational establishments in spring 2020 has raised interest among researchers how to deal with it in a more productive way. Thus, the goal of the research was to find out undergraduates’ views on distance learning of English grammar and the use of online revision materials in developing students’ independent study skills at a tertiary institution in Latvia. the research tool was a questionnaire consisting of open-ended and closed questions. Twenty-three students answered the survey questions. the research results indicate that studying by distance is preferred because it allows the students to choose the study time and place, to develop their tim…

Widening horizons : a phenomenographic study of student teachers' conceptions of health education and its teaching and learning

2012

L2 English questions

2014

The research on the amount and the types of corrective feedback beneficial for learning a second or foreign language has produced inconsistent results. Interestingly, studying corrective feedback from the perspective of a sociocultural theory of learning has the potential to resolve these differences although so far, these studies have been largely qualitative. The present study attempts to contribute to the existing research on corrective feedback from this perspective by comparing the effects of two types of automated corrective feedback on learning: adaptive feedback (i.e., feedback incrementally adapting to learners’ abilities by becoming more explicit and detailed) and knowledge of res…

Toward modernizing the systematic review pipeline in genetics: efficient updating via data mining

2012

Purpose: The aim of this study was to demonstrate that modern data mining tools can be used as one step in reducing the labor necessary to produce and maintain systematic reviews. Methods: We used four continuously updated, manually curated resources that summarize MEDLINE-indexed articles in entire fields using systematic review methods (PDGene, AlzGene, and SzGene for genetic determinants of Parkinson disease, Alzheimer disease, and schizophrenia, respectively; and the Tufts Cost-Effectiveness Analysis (CEA) Registry for cost-effectiveness analyses). In each data set, we trained a classification model on citations screened up until 2009. We then evaluated the ability of the model to class…

Oppikirja eläköön! : teoreettisia ja käytännön näkökohtia kielten oppimateriaalien uudistamiseen

2009

"I could give up many things but not that" : teachers' and pupils' experiences of using the European Language Portfolio in assessment

2015

Arviointi on olennainen osa opetusta ja oppimista kouluissa. Kielitaidon arviointiin vaikuttavat käsitykset kielitaidosta ja aikojen saatossa kielitaidon arviointi on muuttunut lähes mekaanisesta kielitaidon osa-alueiden mittaamisesta monipuolisempaan kielenkäytön arviointiin (ks. esim. Rea-Dickins 2012: 12). Perinteisen kielitaidon testauksen juuret ovat kuitenkin yhä syvällä arviointikulttuurissamme ja vasta viime vuosikymmeninä on alettu painottaa testeille vaihtoehtoisten arviointimetodien tärkeyttä. Johtava ajatus nykypäivän kouluarvioinnissa on, että kaiken arvioinnin tulisi edistää oppimista. Lisäksi oppilaiden tulisi olla aktiivisesti osallisina arvioinnissa. Yksi monipuolinen työka…

Problem Transformation Methods with Distance-Based Learning for Multi-Target Regression

2020

Multi-target regression is a special subset of supervised machine learning problems. Problem transformation methods are used in the field to improve the performance of basic methods. The purpose of this article is to test the use of recently popularized distance-based methods, the minimal learning machine (MLM) and the extreme minimal learning machine (EMLM), in problem transformation. The main advantage of the full data variants of these methods is the lack of any meta-parameter. The experimental results for the MLM and EMLM show promising potential, emphasizing the utility of the problem transformation especially with the EMLM. peerReviewed