Ensuring Quality of a Large-Scale Online Assessment for Nursing Students in the 21st Century

2021 ◽  
pp. 26-39
Author(s):  
Emily Ng K.L.
Keyword(s):  
Nursing Students ◽  
21St Century ◽  
Large Scale ◽  
Multiple Choice ◽  
Online Assessment ◽  
Full Potential ◽  
Validity And Reliability ◽  
Online Assessments

The resources and time constraints of assessing large classes are always weighed up against the validity, reliability, and learning outcomes of the assessment tasks. With the digital revolution in the 21st Century, educators can benefit from computer technology to carry out a large-scale assessment in higher education more efficiently. In this article, an in-depth case study of a nursing school that has integrated online assessment initiatives into their nursing program. To assess a large class of first-year nursing students, a series of non-proctored multiple-choice online quizzes are administered using a learning management system. Validity and reliability are commonly used to measure the quality of an assessment. The aim of the present article to analyze these non-proctored multiple-choice online assessments in the context of content validity and reliability. We use this case study to examine online assessment in nursing education, exploring the benefits and challenges. We conclude that instructors have to determine how to use the full potential of online assessment as well as ensure validity and reliability.

Ensuring Quality of a Large-Scale Online Assessment for Nursing Students in the 21st Century

2020 ◽  
Vol 11 (3) ◽  
pp. 49-65
Author(s):  
Emily Ng K.L.
Keyword(s):  
Nursing Education ◽  
Nursing Students ◽  
21St Century ◽  
Large Scale ◽  
Multiple Choice ◽  
Online Assessment ◽  
Full Potential ◽  
Validity And Reliability

The resources and time constraints of assessing large classes are always weighed up against the validity, reliability, and learning outcomes of the assessment tasks. With the digital revolution in the 21st Century, educators can benefit from computer technology to carry out a large-scale assessment in higher education more efficiently. In this article, an in-depth case study of a nursing school that has integrated online assessment initiatives into their nursing program. To assess a large class of first-year nursing students, a series of non-proctored multiple-choice online quizzes are administered using a learning management system. Validity and reliability are commonly used to measure the quality of an assessment. The aim of the present article to analyze these non-proctored multiple-choice online assessments in the context of content validity and reliability. We use this case study to examine online assessment in nursing education, exploring the benefits and challenges. We conclude that instructors have to determine how to use the full potential of online assessment as well as ensure validity and reliability.

scholarly journals Automatic delineation of debris-covered glaciers using InSAR coherence derived from X-, C- and L-band radar data: a case study of Yazgyl Glacier

2018 ◽  
Vol 64 (247) ◽  
pp. 811-821 ◽  
Author(s):  
STEFAN LIPPL ◽  
SAURABH VIJAY ◽  
MATTHIAS BRAUN
Keyword(s):  
Large Scale ◽  
Window Size ◽  
Radar Data ◽  
Morphological Operations ◽  
L Band ◽  
Surrounding Areas ◽  
Coherence Estimation ◽  
The Impact

ABSTRACTDespite their importance for mass-balance estimates and the progress in techniques based on optical and thermal satellite imagery, the mapping of debris-covered glacier boundaries remains a challenging task. Manual corrections hamper regular updates. In this study, we present an automatic approach to delineate glacier outlines using interferometrically derived synthetic aperture radar (InSAR) coherence, slope and morphological operations. InSAR coherence detects the temporally decorrelated surface (e.g. glacial extent) irrespective of its surface type and separates it from the highly coherent surrounding areas. We tested the impact of different processing settings, for example resolution, coherence window size and topographic phase removal, on the quality of the generated outlines. We found minor influence of the topographic phase, but a combination of strong multi-looking during interferogram generation and additional averaging during coherence estimation strongly deteriorated the coherence at the glacier edges. We analysed the performance of X-, C- and L- band radar data. The C-band Sentinel-1 data outlined the glacier boundary with the least misclassifications and a type II error of 0.47% compared with Global Land Ice Measurements from Space inventory data. Our study shows the potential of the Sentinel-1 mission together with our automatic processing chain to provide regular updates for land-terminating glaciers on a large scale.

Measuring Ambient Urbanities

2019 ◽  
pp. 252-280
Keyword(s):  
21St Century ◽  
Smart City ◽  
Research Literature ◽  
Urban Life ◽  
Urban Theory ◽  
Study Approach ◽  
Exploratory Case Study ◽  
Quality Of Urban Life

The purpose of this chapter is to explore mechanisms and potentials for measuring ambient urbanities. This work advances the ambient metrics concept as a way of shedding light on the evolving nature of measures, standards, and indices required by more dynamic, adaptive, and aware environments, characteristic of smart and responsive cities. In the form of ambient metrics, measures are sought that support more informed city experiences, increased engagement and participation, and improved quality of urban life. The research literature for smart city metrics, standards, and indices is explored in this chapter enabling identification of issues, controversies, and problems. Using an exploratory case study approach, solutions and recommendations are advanced. This chapter makes a contribution to the research literature for smart city metrics, standards, and indices; the evolving of urban theory for 21st century cities; and urban theory in formulating a conceptual framework for rethinking measures for smarter urbanities.

scholarly journals Green Infrastructures in the Peri-Urban Landscape: Exploring Local Perception of Well-Being through ‘Go-Alongs’ and ‘Semi-Structured Interviews’

2020 ◽  
Vol 12 (17) ◽  
pp. 6836
Author(s):  
Rocío Santo-Tomás Muro ◽  
Carlota Sáenz de Tejada Granados ◽  
Eva J. Rodríguez Romero
Keyword(s):  
Urban Areas ◽  
Urban Landscape ◽  
Well Being ◽  
Full Potential ◽  
Structured Interviews ◽  
Local Perception ◽  
Relevant Role ◽  
Environmental Inequalities

Providing conditions for health and well-being, especially for those most exposed to social and environmental inequalities, is a precondition for sustainable development. Green infrastructures in peri-urban areas have the potential to improve the quality of life of locals by fostering healthy practices, providing views, or bringing nature closer to the city. This work explores the local perception of well-being within urban green infrastructures (UGI) in the peri-urban fringe of Madrid (Spain) through a combination of qualitative methods: “go-alongs” and “semi-structured static interviews”. The grounded-theory based codification of the data using NVivo software and their subsequent analysis results in the identification of social, natural, and perceptual elements that prove to play a relevant role in locals’ perception of well-being. Among these, connectivity with other green spaces, panoramic views and place-based memories are aspects that seem to make UGI serve the community at its full potential, including perceived physical and psychological well-being. We identify in each case study both positive characteristics of UGI and dysfunctional aspects and areas of opportunity. Lastly, a methodological, geographical, and theoretical discussion is made on the relevance of the case studies and pertinence of the two interview methods as valuable tools for analysis and intervention in the peri-urban landscape.

Public Satisfaction of Highway Landscape Quality: A Case Study from China

2011 ◽  
Vol 460-461 ◽  
pp. 611-616
Author(s):  
Hong Jie Li ◽  
Xiao Ning Zhang
Keyword(s):  
Statistical Methods ◽  
Quality Evaluation ◽  
Validity And Reliability ◽  
Evaluation Indexes ◽  
The Public ◽  
Model Based ◽  
Landscape Quality

The research presented here constructed highway landscape quality evaluation indexes and a model based on public satisfaction. The goal was to determine if public satisfaction of highway landscape quality can be statistically measured. Several methods of highway landscape quality evaluation were first reviewed to determine what limitations were existed. From that review, a highway landscape quality evaluation indexes were selected and a model based on the selected indexes were constructed according to theory of public satisfaction. An on-site study was conducted to obtain public satisfaction of a scenic road using the selected indexes and model, statistical methods were employed to test the validity and reliability. Results indicate that the public satisfaction can reflect the quality of highway landscape, and the selected indexes can fully represent highway landscape quality.

scholarly journals Don’t write, just mark: the validity of assessing student ability via their computerized peer-marking of an essay rather than their creation of an essay

2004 ◽  
Vol 12 (3) ◽  
Author(s):  
Phil Davies
Keyword(s):  
Multiple Choice ◽  
Assessment Method ◽  
Subject Area ◽  
Higher Order ◽  
The Subject ◽  
Student Ability ◽  
Method Of Assessment ◽  
The Impact

This paper reports on a case study that evaluates the validity of assessing students via a computerized peer-marking process, rather than on their production of an essay in a particular subject area. The study assesses the higher-order skills shown by a student in marking and providing consistent feedback on an essay. In order to evaluate the suitability of this method of assessment in judging a student’s ability, their results in performing this peer-marking process are correlated against their results in a number of computerized multiple-choice exercises and also the production of an essay in a cognate area of the subject being undertaken. The results overall show a correlation of the expected results in all three areas of assessment being undertaken, rated by the final grades of the students undertaking the assessment. The results produced by quantifying the quality of the marking and commenting of the students is found to map well to the overall expectations of the results produced for the cohort of students. It is also shown that the higher performing students achieve a greater improvement in their overall marks by performing the marking process than those students of a lower quality. This appears to support previous claims that awarding a ‘mark for marking’ rewards the demonstration of higher order skills of assessment. Finally, note is made of the impact that such an assessment method can have upon eradicating the possibility of plagiarism.DOI: 10.1080/0968776042000259573

scholarly journals Contextual Contracts for Component-Based Resource Abstraction in a Cloud of HPC Services

2019 ◽  
Author(s):  
Wagner Al Alam ◽  
Francisco Carvalho Junior
Keyword(s):  
Cloud Computing ◽  
Parallel Computing ◽  
Large Scale ◽  
Matrix Multiplication ◽  
Small Scale ◽  
Computing Systems ◽  
Computing Platform ◽  
Computing Platforms

The efforts to make cloud computing suitable for the requirements of HPC applications have motivated us to design HPC Shelf, a cloud computing platform of services for building and deploying parallel computing systems for large-scale parallel processing. We introduce Alite, the system of contextual contracts of HPC Shelf, aimed at selecting component implementations according to requirements of applications, features of targeting parallel computing platforms (e.g. clusters), QoS (Quality-of-Service) properties and cost restrictions. It is evaluated through a small-scale case study employing a componentbased framework for matrix-multiplication based on the BLAS library.

Affix-based Distractor Generation for Tamil Multiple Choice Questions using Neural Word Embedding

2021 ◽  
Vol 13 (2) ◽  
Author(s):  
Shanthi Murugan ◽  
◽  
Balasundaram S R ◽  
Keyword(s):  
Large Scale ◽  
Research Effort ◽  
Multiple Choice ◽  
Automatic Generation ◽  
Difficulty Level ◽  
Multiple Choice Questions ◽  
Educational Domain ◽  
Part Of Speech ◽  
Educational Applications

Assessment plays an important role in learning and Multiple Choice Questions (MCQs) are quite popular in large-scale evaluations. Technology enabled learning necessitates a smart assessment. Therefore, automatic MCQ generation became increasingly popular in the last two decades. Despite a large amount of research effort, system generated MCQs are not useful in real educational applications. This is because of the inability to produce the diverse and human alike distractors. Distractors are the wrong choices given along with the correct answer (key) to confuse the examinee. Especially, in educational domain (grammar learning) the MCQs deal with affix-based or morphologically transformed distractors. In this paper, we present a method for automatic generation of affix-based distractors for fill-in-the-blanks for learning Tamil Vocabulary. Affix-based distractor generation relies on certain regularities manifest in high dimensional spaces. We investigate the quality of distractors generated by a number of criteria, including Part-Of-Speech, difficulty level, spelling, word co-occurrence, semantic similarity and affixation. We evaluated our proposed method in grammar based Multiple Choice Questions (MCQs) dataset. The result shows that affix-based distractors, yield significantly more plausible outcomes in certain grammar based questions.

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