Search results for "TASK"
showing 10 items of 1658 documents
On the role of the upper part of words in lexical access: evidence with masked priming.
2012
More than 100 years ago, Huey (1908) indicated that the upper part of words was more relevant for perception than the lower part. Here we examined whether mutilated words, in their upper/lower portions (e.g., , , , ), can automatically access their word units in the mental lexicon. To that end, we conducted four masked repetition priming experiments with the lexical decision task. Results showed that mutilated primes produced a sizeable masked repetition priming effect. Furthermore, the magnitude of the masked repetition priming effect was greater when the upper part of the primes was preserved than when the lower portion was preserved –this was the case not only when the mutilated words we…
Evaluating Assessment. Validation with PLS-SEM of ATAE Scale for the Analysis of Assessment Tasks
2020
One of the essential functions of university teachers lies in the decision-making process regarding the various components included in assessment process design, where the quality of assessment tasks is a key aspect. This study presents both validation of an instrument for students to evaluate the assessment tasks and the model that upholds the relationships between constructs that characterise the assessment tasks. Working from a review of the literature, a theoretical model has been devised featuring the characteristics of the assessment tasks and the relationships between them. The Analysis of the Assessment and Learning Tasks questionnaire (ATAE) has been designed to check them, based o…
The evaluation of dual-task conditions on static postural control in the older adults: a systematic review and meta-analysis protocol
2019
Abstract Background In postural stability evaluation, the dual-task concept is often adopted in order to create a more challenging situation. The dual-task consists of performing simultaneously two tasks, a primary static or dynamic motor task and an additional secondary cognitive task. Usually, a multitask condition leads to a reduction in the postural control performance, especially in older adults. Considering the wide spectrum of secondary task conditions existing in scientific literature, the present manuscript aims to write a peer-reviewed protocol that will be used in a systematic review and meta-analysis performed to identify the effects of different secondary tasks conditions in a …
Preserving dignity in end-of-life nursing home care: Some ethical challenges
2016
A central task in palliative care is meeting the needs of frail, dying patients in nursing homes. The aim of this study was to investigate how healthcare workers are influenced by and deal with ethical challenges in end-of-life care in nursing homes. The study was inspired by clinical application research. Researchers and clinical staff, as co-researchers, collaborated to shed light on clinical situations and create a basis for new practice. The analysis resulted in the main theme, ‘Dignity in end-of-life nursing home care’, and the sub-categories ‘Challenges regarding life-prolonging treatment’ and ‘Uncertainty regarding clarification conversations’. Our findings indicate that nursing hom…
Emergency Analysis: Multitask Learning with Deep Convolutional Neural Networks for Fire Emergency Scene Parsing
2021
In this paper, we introduce a novel application of using scene semantic image segmentation for fire emergency situation analysis. To analyse a fire emergency scene, we propose to use deep convolutional image segmentation networks to identify and classify objects in a scene based on their build material and their vulnerability to catch fire. We introduce our own fire emergency scene segmentation dataset for this purpose. It consists of real world images with objects annotated on the basis of their build material. We use state-of-the-art segmentation models: DeepLabv3, DeepLabv3+, PSPNet, FCN, SegNet and UNet to compare and evaluate their performance on the fire emergency scene parsing task. …
Bagging, bumping, multiview, and active learning for record linkage with empirical results on patient identity data
2011
Record linkage or deduplication deals with the detection and deletion of duplicates in and across files. For this task, this paper introduces and evaluates two new machine-learning methods (bumping and multiview) together with bagging, a tree-based ensemble-approach. Whereas bumping represents a tree-based approach as well, multiview is based on the combination of different methods and the semi-supervised learning principle. After providing a theoretical background of the methods, initial empirical results on patient identity data are given. In the empirical evaluation, we calibrate the methods on three different kinds of training data. The results show that the smallest training data set, …
On the Construction of Optimum Categories in Biomedical Data Recognition Problems
1979
The recognition of patterns within sets of biomedical data involves the following problems: a) Proper recording of the data to be used b) Extraction of suitable features c) Choice of categories or classes which are relevant to the medical decision task d) Estimation of the underlying distributions in the case of using parametric methods e) Choice of an adequate classification rule Whereas a lot of theories and procedures exists for most of these steps — particularly in the field of computer-aided differential diagnosis of electrocardiograms (ECG) (see [6]) — there has been only rare considerations on the problems of definition of appropriate categories.
Peer assessment based assignment to enhance interactions in online learning groups
2015
In this paper, we report on the findings from our PhD work on how peer assessment based assignment method can enhance interaction in online learning groups. The method is explored and tried out on the research methods course on the Bachelor of Commerce Programme which is run in distance learning mode at Makerere University. Based on the idea that learning groups can enhance effective learning in online learning environments, we used the affordance eLearning framework to design the peer assessment based assignment task and then qualitative methods collect and report on data. The results reveal that there was increased interaction through peer feedback. Students were motivated because of the …
Adaptive formative feedback to improve strategic search decisions in task-oriented reading
2014
This study analyses the effectiveness of adaptive formative feedback to boost strategic search decisions and performance when students are asked to answer a set of questions in a task-oriented reading situation. We compared automatic feedback that included information about the right answer with feedback that also included the connection between the students' strategic search decisions and their performance. Ninety-two high school students read two non-continuous texts. They received feedback during a training phase, and then they read and also received feedback with a similar text in a final phase. Text and questions were presented using a new computer-based technology that provided automa…
Some Outcomes of Pressure, Ingratiation, and Rational Persuasion Used With Peers in the Workplace1
2003
In a cross-sectional organizational field study, the effects of ingratiation, pressure, and rational persuasion on performance appraisal, compliance gaining, and reactance were investigated. Actors were asked to describe their lateral-influence strategies, and peers were asked to assess actors’ impact. Actors and assessors from 140 German lateral-influence dyads who were public officeholders and employees participated in the study. The data support the hypothesis that the more an actor uses rational persuasion and the longer the assessor has known the actor, the more positively the assessor will evaluate the actor's task performance. In addition, the results support the hypothesis that the …