Automated evaluation of the quality of ideas in compositions based on concept maps

2021 ◽  
pp. 1-38
Author(s):  
Li-Ping Yang ◽  
Tao Xin ◽  
Fang Luo ◽  
Sheng Zhang ◽  
Xue-Tao Tian
Keyword(s):  
Evaluation System ◽  
Large Scale ◽  
Concept Maps ◽  
Constructive Feedback ◽  
Large Scale Assessment ◽  
Automated Evaluation ◽  
Eighth Grade Students ◽  
Scoring Accuracy ◽  
New Formulation

Abstract Nowadays, automated essay evaluation (AEE) systems play an important role in evaluating essays and have been successfully used in large-scale writing assessments. However, existing AEE systems mostly focus on grammar or shallow content measurements rather than higher-order traits such as ideas. This paper proposes a new formulation of graph-based features for concept maps using word embeddings to evaluate the quality of ideas for Chinese compositions. The concept map derived from the student’s composition is composed of the concepts appearing in the essay and the co-occurrence relationship between the concepts. By utilizing real compositions written by eighth-grade students from a large-scale assessment, the scoring accuracy of the computer evaluation system (named AECC-I: Automated Evaluation for Chinese Compositions—Ideas) is higher than the baselines. The results indicate that the proposed method deepens the construct-relevant coverage of automatic ideas evaluation in compositions and that it can provide constructive feedback for students.

scholarly journals How ‘Networked’ are Online Collaborative Concept-Maps? Introducing Metrics for Quantifying and Comparing the ‘Networkedness’ of Collaboratively Constructed Content

2020 ◽  
Vol 10 (10) ◽  
pp. 267
Author(s):  
Noa Sher ◽  
Carmel Kent ◽  
Sheizaf Rafaeli
Keyword(s):  
Network Analysis ◽  
Large Scale ◽  
Concept Maps ◽  
Quality Measures ◽  
Thought Process ◽  
Academic Settings ◽  
New Challenges ◽  
Complex Phenomena

With the growing role of online multi-participant collaborations in shaping the academic, professional, and civic spheres, incorporating collaborative online practices in educational settings has become imperative. As more educators include such practices in their curricula, they are faced with new challenges. Assessment of collaborations, especially in larger groups, is particularly challenging. Assessing the quality of the collaborative “thought process” and its product is essential for both pedagogical and evaluative purposes. While traditional quantitative quality measures were designed for individual work or the aggregated work of individuals, capturing the complexity and the integrative nature of high-quality collaborative learning requires novel methodologies. Network analysis provides methods and tools that can identify, describe, and quantify non-linear and complex phenomena. This paper applies network analysis to the content created by students through large-scale online collaborative concept-mapping and explores how these can be applied for the assessment of the quality of a collective product. Quantitative network structure measures are introduced for this purpose. The application and the affordances of these metrics are demonstrated on data from six large-group online collaborative discussions from academic settings. The metrics presented here address the organization and the integration of the content and enable a comparison of collaborative discussions.

Task Scheduling of Cloud Computing in Weapon Network System

2014 ◽  
Vol 610 ◽  
pp. 695-698
Author(s):  
Qian Tao ◽  
Bo Pan ◽  
Wen Quan Cui
Keyword(s):  
Cloud Computing ◽  
Task Scheduling ◽  
Evaluation System ◽  
Large Scale ◽  
Rapid Development ◽  
It Industry ◽  
Control Scheme ◽  
Tasks Scheduling ◽  
Constant Bandwidth

In recent years, the rapid development of cloud computing brings significant innovation in the whole IT industry. For the local tasks scheduling on each computational node of the top model of weapon network, an open task scheduling framework was introduced a task accept control scheme based on the tasks based on load balancing, quality of service (QoS) and an improved constant bandwidth server algorithm was presented. The result of simulation shows that the scheduling policies can improve the schedule speed when the number of tasks increases and can meet the demand better for the real time requirementsof the tactical training evaluation system for complexity and Large-scale.

scholarly journals Juvenilização da EJA como efeito colateral das políticas de responsabilização

2018 ◽  
pp. 1
Author(s):  
Talita Vidal Pereira ◽  
Roberta Avoglio Alves Oliveira
Keyword(s):  
Rio De Janeiro ◽  
Large Scale ◽  
Quality Of Education ◽  
Performance Targets ◽  
Large Scale Assessment ◽  
Regular School ◽  
Youth Education ◽  
School Network ◽  
La Red

<p>O fenômeno denominado Juvenilização da Educação de Jovens e Adultos (EJA) é analisado no presente artigo como consequência da expulsão de jovens em defasagem idade-série da escola regular. O pressuposto é que o fenômeno tem se intensificado na medida em que a correção de fluxo tem funcionado como mecanismo de escape, utilizado por gestores com o objetivo de evitar as sanções previstas nas políticas de responsabilização às escolas e aos professores que não alcançam as metas de desempenho estabelecidas pelas diferentes esferas do sistema. São utilizados dados estatísticos sobre o histórico de matrículas na EJA na rede municipal de ensino da cidade do Rio de Janeiro para sustentar que as políticas de avaliação em larga escala, anunciadas como garantidoras da qualidade da educação, têm favorecido a manutenção de processos de exclusão escolar. Aportes pós-estruturalistas, em especial a Teoria do Discurso, sustentam a problematização de uma concepção instrumental de qualidade.</p><p> </p><p><strong><em>Juvenilización de EJA como efecto colateral de las políticas de responsabilización</em></strong></p><p><em>Se analiza el fenómeno denominado juvenilización de la Educação de Jovens e Adultos (EJA) en el presente artículo en función de la expulsión de jóvenes en desfase edad-año de la escuela regular. Se presupone que el fenómeno se ha intensificado en la medida que la corrección de flujo funciona como mecanismo de escape, utilizado por gestores con el objetivo de evitar las sanciones previstas en las políticas de responsabilización a las escuelas y a los profesores que no alcanzan las metas de desempeño establecidas por las diferentes esferas del sistema. Se utilizan datos estadísticos sobre el historial de matrículas en EJA en la red municipal de enseñanza de la ciudad de Rio de Janeiro para sustentar que las políticas de evaluación en gran escala, anunciadas como garantes de la calidad de la educación, han favorecido el mantenimiento de procesos de exclusión escolar. Aportes post-estructuralistas, en especial la Teoría del Discurso, sostienen la problematización de una concepción instrumental de calidad.</em></p><p><strong><em>Palabras clave:</em></strong><em> Responsabilización; Educação de Jovens e Adultos (EJA); Calidad de La Educación; Evaluación de la Educación.</em></p><p> </p><p><strong><em>Juvenilization in adult and youth education as a side effect of accountability policies</em></strong></p><p><em>This article analyzes the phenomenon called Juvenilization in Educação de Jovens e Adultos (EJA) [Adult and Youth Education] as a result of the exclusion of young people with age-grade discrepancy from regular school. The assumption is that the phenomenon has intensified, as the flow correction has worked as an escape mechanism used by managers to avoid the penalties prescribed in the accountability policies for schools and teachers not reaching the performance targets established for the different levels of the system. Statistical data about the EJA academic transcripts from the municipal school network of Rio de Janeiro are used to support the large-scale assessment policies. These policies, announced as guarantors of the quality of education, have favored the maintenance of school exclusion processes. Poststructuralist contributions, particularly Discourse Theory, support the problematizing of an instrumental concept of quality. </em></p><p><em><strong>Keywords:</strong> Accountability; Educação de Jovens e Adultos (EJA); Quality of Education; Education Evaluation.</em></p>

scholarly journals Improving Student Feedback Quality: A Simple Model Using Peer Review and Feedback Rubrics

2020 ◽  
Vol 7 ◽  
pp. 238212052093660 ◽  
Author(s):  
Troy Camarata ◽  
Tony A Slieman
Keyword(s):  
Peer Review ◽  
Concept Maps ◽  
Clinical Skills ◽  
Peer Feedback ◽  
Student Feedback ◽  
Feedback Training ◽  
Constructive Feedback ◽  
Quality Feedback ◽  
Feedback Quality

Constructive feedback is an important aspect of medical education to help students improve performance in cognitive and clinical skills assessments. However, for students to appropriately act on feedback, they must recognize quality feedback and have the opportunity to practice giving, receiving, and acting on feedback. We incorporated feedback literacy into a case-based concept mapping small group-learning course. Student groups engaged in peer review of group-constructed concept maps and provided written peer feedback. Faculty also provided written feedback on group concept maps and used a simple rubric to assess the quality of peer feedback. Groups were provided feedback on a weekly basis providing an opportunity for timely improvement. Precourse and postcourse evaluations along with peer-review feedback assessment scores were used to show improvement in both group and individual student feedback quality. Feedback quality was compared to a control student cohort that engaged in the identical course without implementing peer review or feedback assessment. Student feedback quality was significantly improved with feedback training compared to the control cohort. Furthermore, our analysis shows that this skill transferred to the quality of student feedback on course evaluations. Feedback training using a simple rubric along with opportunities to act on feedback greatly enhanced student feedback quality.

АВТОМАТИЗИРОВАННАЯ СИСТЕМА СЕЛЕКЦИОННОГО КОНТРОЛЯ КАЧЕСТВА МОЛОКА КОРОВ

2019 ◽  
pp. 14-17
Author(s):  
V.P. PROZHERIN ◽  
V.L. YALUGA ◽  
A.L. DIDIKINA ◽  
E.N. TURENKOVA ◽  
O.P. VASILIEVA ◽  
...  
Keyword(s):  
Milk Sample ◽  
Evaluation System ◽  
Milk Protein ◽  
Milk Quality ◽  
Housing System ◽  
Automated Evaluation ◽  
Milk Performance ◽  
The Mean ◽  
Daily Milk

Рассмотрены результаты оценки качества молока холмогорских коров. Целью исследований явилось изучение способа формирования контрольной суточной пробы молока у подконтрольных животных. Для этого было организовано и проведено 744 сеанса доения коров при привязном содержании, кормлении по графику и трехкратном доении. Было установлено, что суточный удой молока у подконтрольных коров составил 28,8 кг, при этом наибольшее количество молока (14,1 кг, или 49) было получено в среднем за утренний сеанс доения. На основании лабораторных исследований выявлено, что при удое 28,80,41 кг молока за контрольные сутки средние показатели селекционного контроля качества молока коров по массовой доле жира были достаточно высокими (3,950,05), а по массовой доле белка (3,060,01) значительно ниже стандарта породы (3,30). В то же время повышенной жирномолочностью (4,850,06) характеризуется молоко, полученное за дневной сеанс доения, что достоверно выше (Р0,001) показателей содержания жира в молоке за утренний и вечерний сеансы доения, соответственно, на 1,49 и на 0,71. Средние показатели белковомолочности молока были установлены пониженными за дневной сеанс и составили 3,020,01, что достоверно ниже на 0,03 (при Р0,05) средних показателей за утренний сеанс и на 0,08 белка (Р0,001) средних показателей за вечерний сеанс доения коров. Проведенными исследованиями доказано, что достоверность результатов оценки качественных показателей молока коров за контрольные сутки, а впоследствии и за лактацию, во многом определяется способом формирования пробы молока для лабораторного анализа. Для достижения селекционных целей при работе с холмогорской породой крупного рогатого скота была разработана и апробирована автоматизированная система селекционного контроля качества молока коров.The study analyses results of evaluation of selected milk quality from Kholmogori cows. The goal of theresearch was to study the method of forming the average daily milk sample of the cows under control. To this end 744 milking sessions of dairy cows on fixedtime scheme of feeding, in confinement housing system with 3 milkings a day were held. The results of the study showed that daily milk performance of Kholmogori cows in the research was 28,8 kg, while most of the milk (14,1 kg or 49) was milked in the morning milking session. On the base of the laboratory analysis it was found that while the average daily performance was 28,80,41 kg, the mean characteristics of selected milk quality of Kholmogori cows in fat were quite high (3,950,05), and the protein outcome was lower than average in the breed (3.30). At the same time milk in the midday session had higher outcome of fat (4,850.06), which is reliably higher (P0,999) than characteristics of fat content in morning and evening milkings, 1,49 and 0,71 higher respectively. It is remarkable that average characteristics of milk protein were set lower for the midday milking and were 3,020,01, which is reliably 0,03 lower (P0.999) than average figures for the evening milking. The research proved that reliability ofresults estimation of the selected quality milk for the test day, and subsequently for the lactation largely depends on the method of forming the daily milk sample for the laboratory analysis.For the selection purposes an automated evaluation system for selected milk quality of Kholmogori dairy cattle was developed and tested.

scholarly journals Milk quality testing using intelligent inference performance evaluation system integrated with IoT

2018 ◽  
Vol 7 (2.20) ◽  
pp. 74
Author(s):  
G Suresh Babu ◽  
V Rama Krishna ◽  
V Dharma Teja ◽  
S Balraj Yadav
Keyword(s):  
Food Processing ◽  
Evaluation System ◽  
Large Scale ◽  
Processing System ◽  
Performance Evaluation System ◽  
Perishable Product ◽  
Quality Testing ◽  
Artificial Neural Network Ann ◽  
Quality Of Milk

One of the major used food item in day to day life is milk. Many large-scale industries are in the distribution of milk products. Quality of milk is one of the major factor in the food processing system and customers appreciate quality products. IoT is revolution and it is using extensively in our day to day life.  Our project is about maintaining the quality of the milk as it’s a perishable product. In this paper we concentrated on how the milk is depending on the different factors available in it and each one effects the quality. An attempt is made to analyze the data from the sensors with IoT used in the milk production with the help of Artificial Neural Network (ANN). The results are exhibited through an example.  

scholarly journals Can Bibliographic Pointers for Known Biological Data Be Found Automatically? Protein Interactions as a Case Study

2001 ◽  
Vol 2 (4) ◽  
pp. 196-206 ◽  
Author(s):  
Christian Blaschke ◽  
Alfonso Valencia
Keyword(s):  
Protein Interactions ◽  
Large Scale ◽  
Biological Data ◽  
Positive Finding ◽  
Data Set ◽  
Large Scale Assessment ◽  
Low Coverage ◽  
Standard Protein

The Dictionary of Interacting Proteins(DIP) (Xenarioset al., 2000) is a large repository of protein interactions: its March 2000 release included 2379 protein pairs whose interactions have been detected by experimental methods. Even if many of these correspond to poorly characterized proteins, the result of massive yeast two-hybrid screenings, as many as 851 correspond to interactions detected using direct biochemical methods.We used information retrieval technology to search automatically for sentences in Medline abstracts that support these 851 DIP interactions. Surprisingly, we found correspondence between DIP protein pairs and Medline sentences describing their interactions in only 30% of the cases. This low coverage has interesting consequences regarding the quality of annotations (references) introduced in the database and the limitations of the application of information extraction (IE) technology to Molecular Biology. It is clear that the limitation of analyzing abstracts rather than full papers and the lack of standard protein names are difficulties of considerably more importance than the limitations of the IE methodology employed. A positive finding is the capacity of the IE system to identify new relations between proteins, even in a set of proteins previously characterized by human experts. These identifications are made with a considerable degree of precision.This is, to our knowledge, the first large scale assessment of IE capacity to detect previously known interactions: we thus propose the use of the DIP data set as a biological reference to benchmark IE systems.

scholarly journals Use of Large Scale Assessment Finding in South Asia: An Experience of Nepal

2018 ◽  
Vol 21 ◽  
pp. 80-90
Author(s):  
Chandra Mani Paudel ◽  
Ram Chandra Panday
Keyword(s):  
Large Scale ◽  
International Student ◽  
Student Assessment ◽  
Asia Pacific ◽  
National Assessment ◽  
Large Scale Assessment ◽  
International Student Assessment ◽  
Asian Context ◽  
Mathematics And Science

This paper tries to present results from a systematic review of literature that reviewed the large-scale assessments finding in the South Asian context especially focusing Nepal. The main objective of the LEAP programme is to reform the quality of learning in the Asia-Pacific region by developing capacity of the Member States to collect, analyze and utilize international and national assessment data identifying learning enablers. The review has identified the high order skills overshadowed by rote learning. It has also employed Item Response Theory (IRT) making assessments comparable and connected with the previous levels. International Assessments such as the Programme for International Student Assessment (PISA) and the Trends in Mathematics and Science Study (TIMSS) collected vast amounts of data on schools, students and households. The use of education-related “big data” for evidence-based policy making is limited, partly due to insufficient institutional capacity of countries to analyze such data and link results with policies.

scholarly journals The method of using the method of composite indicators, and the method of randomized aggregates for quality evaluation of objects

2017 ◽  
Author(s):  
Л.А. Чудовская ◽  
М.М. Галилеев
Keyword(s):  
Evaluation System ◽  
Quality Evaluation ◽  
Composite Indicators ◽  
Normative Documents ◽  
Additional Information ◽  
Automated Evaluation ◽  
Wood Shaving ◽  
Weighting Coefficients ◽  
Weight Coefficients

В статье представлен сравнительный анализ уровня качества древесно-стружечных плит. Разработана методика построения сводного показателя качества. Моделируя неопределенность выбора весовых коэффициентов из класса допустимых векторов этих коэффициентов заданием гауссовых функций принадлежности, получаем случайный вектор весовых коэффициентов, дающий при подстановке в формулу сводного показателя рандомизированный (случайный) сводный показатель, который характеризует качество объекта с учетом неопределенности задания коэффициентов. Разброс значений рандомизированных сводных показателей будет оцениваться стандартными отклонениями соответствующих случайных величин. Автоматизированная подсистема оценки позволяет выводить результат оценки качества. Для оценивания качества ДСП результаты получены в виде отсортированных таблиц по значениям отдельных и сводных показателей качества ДСП. Привлечение дополнительной информации о сравнительной важности для потребителя отдельных показателей качества ДСП позволяет уточнить результаты анализа, существенно уменьшая разброс в оценке усредненных сводных показателей качества. На примере анализа уровня качества древесно-стружечных плит, отвечающих требованиям соответствующих нормативных документов, при помощи построения рандомизированных сводных показателей, апробирована работа методики, позволяющей проводить оценку качества исследуемых объектов. The article presents a carried out comparative analysis of a level of quality of the wood-shaving plates. The technique of constructing the composite indicator of quality is shown. Modeling the uncertainty of the choice of weighting coefficients from the class of admissible vectors of these coefficients with assignment of the Gaussian membership functions, we obtain a random vector of weight coefficients, which gives by substituting into the formula rollup randomized (random) a summary indicator that describes the quality of the object with the uncertainty of the job factors. The scatter of the values of randomized aggregates will be measured standard deviations of the respective random variables. Automated evaluation system allows you to display the result of evaluating quality. To estimate the quality of the wood-shaving plates by the results obtained in a sorted table according to the values of individual and composite indicators, quality chipboard. Attracting additional information about the relative importance to consumers of selected indicators of the quality of the wood-shaving plates allows you to refine the results of the analysis, substantially reducing the variation in the estimates of the average aggregated quality indicators. So, analysis of the level of quality of the wood-shaving plates that meets the requirements of the normative documents, with the help of constructing randomized aggregates, tested working methodology, allowing to assess the quality of the inspected objects.

scholarly journals An Alternative Vision for Large-scale Assessment in Canada

2006 ◽  
Vol 4 (1) ◽  
Author(s):  
Louis Volante
Keyword(s):  
Student Achievement ◽  
Large Scale ◽  
Achievement Testing ◽  
Large Scale Assessment ◽  
Scale Assessment ◽  
Alternative Vision ◽  
Large Scale Testing ◽  
International Testing ◽  
The Impact

Concern over the quality of education has prompted virtually every Canadian province and territory to develop large-scale assessment programs to measure student achievement. The approach of individual provinces and territories varies according to the grades tested, sample size, test format, and frequency of administration. Many provinces also participate in national and international testing programs. This paper provides a general overview of the various large-scale assessment programs across Canada and outlines central arguments for and against student achievement testing. Research documenting the impact of large-scale testing on students and teachers is also reported. The discussion proposes an alternative vision for large-scale assessment aimed at supporting teachers’ instructional practices and student learning. A set of key considerations within this vision serve as a basis for assessment policy reform.

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