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Journal articles on the topic 'Skill Matrix'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Asher, Roberta C., Tammie Jakstas, Fiona Lavelle, et al. "Development of the Cook-EdTM Matrix to Guide Food and Cooking Skill Selection in Culinary Education Programs That Target Diet Quality and Health." Nutrients 14, no. 9 (2022): 1778. http://dx.doi.org/10.3390/nu14091778.

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Culinary education programs are generally designed to improve participants’ food and cooking skills, with or without consideration to influencing diet quality or health. No published methods exist to guide food and cooking skills’ content priorities within culinary education programs that target improved diet quality and health. To address this gap, an international team of cooking and nutrition education experts developed the Cooking Education (Cook-EdTM) matrix. International food-based dietary guidelines were reviewed to determine common food groups. A six-section matrix was drafted includi

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Gono, Denon Arthur Richmond, Bi Tra Goore, Yves Tiecoura, and Kouamé Abel Assielou. "Multi-relational Matrix Factorization Approach for Educational Items Clustering." International Journal of Information and Education Technology 13, no. 1 (2023): 42–47. http://dx.doi.org/10.18178/ijiet.2023.13.1.1778.

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Pedagogical models development requires several steps, one of which is the mapping of tasks and skills, also known as the educational items clustering. This activity of clustering educational items usually requires the participation of domain experts. However, discovering the exact skills involved in performing the tasks is a complex activity for them. This paper aims at solving the task and skill-mapping problem by proposing an approach based on the Weighted Multi-Relational Matrix Factoring technique to help experts in this task. This approach relies on two types of relationship, the “ stude

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3

Pauji, Ahmad. "PENGARUH SKILL MATRIX DAN MOTIVASI KERJA TERHADAP KINERJA OPERASIONAL DI PT.XYZ." Jurnal Ilmiah Satyagraha 8, no. 1 (2025): 239–46. https://doi.org/10.47532/jis.v8i1.1224.

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Abstrak – Penelitian ini bertujuan untuk menganalisis pengaruh skill matrix dan motivasi karyawan terhadap kinerja operasional di PT. XYZ. Data dikumpulkan melalui survei terhadap karyawan perusahaan dengan menggunakan kuesioner. Analisis data dilakukan menggunakan metode Structural Equation Modeling (SEM) dengan software SmartPLS. Hasil penelitian menunjukkan bahwa skill matrix dan motivasi karyawan secara signifikan berpengaruh positif terhadap kinerja operasional. Skill matrix juga berkontribusi dalam meningkatkan motivasi karyawan secara tidak langsung, sehingga memperkuat kinerja operasio

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Li, Linqing, and Zhifeng Wang. "Knowledge relation rank enhanced heterogeneous learning interaction modeling for neural graph forgetting knowledge tracing." PLOS ONE 18, no. 12 (2023): e0295808. http://dx.doi.org/10.1371/journal.pone.0295808.

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Knowledge tracing models have gained prominence in educational data mining, with applications like the Self-Attention Knowledge Tracing model, which captures the exercise-knowledge relationship. However, conventional knowledge tracing models focus solely on static question-knowledge and knowledge-knowledge relationships, treating them with equal significance. This simplistic approach often succumbs to subjective labeling bias and lacks the depth to capture nuanced exercise-knowledge connections. In this study, we propose a novel knowledge tracing model called Knowledge Relation Rank Enhanced H

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Mohd Nasir, Nur Shira Ain, Wan Sallha Yusoff, Mohd Fairuz Md Salleh, Suraiya Ibrahim, Haslina Hassan Basri, and Adi Anuar Azmin. "THE EFFECT OF BOARD MATRIX SKILL ON FIRM VALUE OF MNC INCORPORATED IN MALAYSIA." Advanced International Journal of Banking, Accounting and Finance 4, no. 12 (2022): 22–30. http://dx.doi.org/10.35631/aijbaf.412002.

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This paper aims to examine the effect between Board Matrix Skill on firm value of MNC that incorporated in Malaysia. BMS is known as a tool to improve governance and assist the Nominating Committee in selecting the best suit successor for the board member. In addition, this matrix skill had implemented by the MCCG where it is use to assess the current board’s composition, knowledge, skill and experience. The data generated from the annual report of 189 companies with total pooled observation of 566 companies over 3 years, from year 2018 to 2020. The empirical result shows that Board Matrix Ski

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Al-Ruzzeh, Sharif, Shishir Karthik, and David O'Regan. "Objective surgical skill assessment: the diagonal operating matrix☆." Interactive CardioVascular and Thoracic Surgery 6, no. 2 (2007): 188–91. http://dx.doi.org/10.1510/icvts.2006.141002.

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Sinha, Saitab, and Ashutosh Mishra. "Measuring Employers' Satisfaction with Expectation Satisfaction Matrix." Purushartha - A Journal of Management Ethics and Spirituality 13, no. 01 (2019): 21–34. http://dx.doi.org/10.21844/16201913102.

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This paper examines whether employers' expectations and perceptions influence their satisfaction with the skill competencies of fresh engineering graduates (FEGs) in India. Using the expectation satisfaction matrix, we have also explored whether such skill competencies adequately satisfy employers. Data on employers' expectations and perceptions were collected through a survey of employers' representatives using a structured questionnaire. Expectations from various skillsets under consideration were categorized with exploratory factor analysis. We thus got three latent factors. The regression

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Rahman, Shams, and Nie Qing. "Graduate students' perceptions of supply chain skills for supply chain managers." Benchmarking: An International Journal 21, no. 2 (2014): 276–99. http://dx.doi.org/10.1108/bij-01-2012-0002.

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Purpose – The aim of this research is to identify the relevant skills and their relative importance, required by supply chain managers, and to suggest the key skill items that require improvement. Design/methodology/approach – Using a survey questionnaire, data were collected against 41 supply chain management skills. Using expert opinion, these skill items were then grouped to create four higher level supply chain skill-categories. These are supply chain general management (SCG) skill-category, supply chain analytical (SCA) skill-category, supply chain information technology (SCIT) skill-cate

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Varshney, Kush, Jun Wang, Aleksandra Mojsilović, Dongping Fang, and John Bauer. "Predicting and Recommending Skills in the Social Enterprise." Proceedings of the International AAAI Conference on Web and Social Media 7, no. 3 (2021): 20–23. http://dx.doi.org/10.1609/icwsm.v7i3.14474.

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In this paper, we discuss the need for accurate skills assessments of employees in large, global, client-facing enterprises and shortcomings of existing systems for obtaining and managing expertise. We describe enterprise and social data that can be mined to improve skill assessment processes. We propose a matrix completion approach with side information for improved skill assessment prediction and recommendation, and discuss how outputs can improve existing business process use cases and illuminate new ones.

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10

Yu, Shenbao, Yifeng Zeng, Fan Yang, and Yinghui Pan. "Causal-Driven Skill Prerequisite Structure Discovery." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 18 (2024): 20604–12. http://dx.doi.org/10.1609/aaai.v38i18.30046.

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Knowing a prerequisite structure among skills in a subject domain effectively enables several educational applications, including intelligent tutoring systems and curriculum planning. Traditionally, educators or domain experts use intuition to determine the skills' prerequisite relationships, which is time-consuming and prone to fall into the trap of blind spots. In this paper, we focus on inferring the prerequisite structure given access to students' performance on exercises in a subject. Nevertheless, it is challenging since students' mastery of skills can not be directly observed, but can o

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Dubey, Rameshwar, and Angappa Gunasekaran. "Shortage of sustainable supply chain talent: an industrial training framework." Industrial and Commercial Training 47, no. 2 (2015): 86–94. http://dx.doi.org/10.1108/ict-08-2014-0052.

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Purpose – The purpose of this paper is to identify sustainable supply chain skill and propose a conceptual training framework for sustainable supply chain talent. Design/methodology/approach – The authors have used exhaustive literature review of extant literature published in academic journals, reputable reports, trade magazines, books and monographs. The authors further consulted leading experts from reputable bodies to further finalize the sustainable supply chain skills matrix and check the content validity of the constructs of our proposed conceptual framework. Findings – The sustainable

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16., Md. Mazharul Islam Md. Tanjim Hossain Mohammad Abdul Jalil Elias Khalil. "Line Balancing for Improving Apparel Production by Operator Skill Matrix." International Journal of Science, Technology and Society 3, no. 4 (2015): 101–6. https://doi.org/10.11648/j.ijsts.20150304.11.

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 In this modern world, fashion & styles are changing frequently. The emergence of fast changes in fashion has given rise to shorten production cycle time in the garment industry. To meet the dynamic customer demands of momentous quantities in shorten lead time, assembly line production systems are used, where the garment components are assembled into a finished garment through a sub-assembly process. So in the era of product customization, the optimal usage of resources especially the available facilities & operators who are adding the value of product is important. Therefore the

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Chen, Huilin, and Jinsong Chen. "Cognitive Diagnostic Research on Chinese Students’ English Listening Skills and Implications on Skill Training." English Language Teaching 10, no. 12 (2017): 107. http://dx.doi.org/10.5539/elt.v10n12p107.

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By analyzing the test data of 2718 secondary school students in Guangzhou China on 15 listening items from Guangzhou English Achievement Examination (2015) through G-DINA model, the study explored the relationships among the listening comprehension skills. Based on the test specifications and listening skill taxonomies in existence, 5 experts in language skills and language testing conducted item content analysis independently for the 15 listening items, defined 5 listening attributes, and constructed the Q-matrix. After analyzing latent classes and their posterior probabilities, the study dis

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Mazharul Islam, Md. "Line Balancing for Improving Apparel Production by Operator Skill Matrix." International Journal of Science, Technology and Society 3, no. 4 (2015): 101. http://dx.doi.org/10.11648/j.ijsts.20150304.11.

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15

Nelson, Anthony C., and Kailash Joshi. "Application of a matrix approach to estimate project skill requirements." Information & Management 29, no. 3 (1995): 165–72. http://dx.doi.org/10.1016/0378-7206(95)00019-s.

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Tao, Jinhong, Wei Zhao, Fengjuan Liu, et al. "Cognitive Diagnosis Method via Q-Matrix-Embedded Neural Networks." Applied Sciences 14, no. 22 (2024): 10380. http://dx.doi.org/10.3390/app142210380.

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Cognitive diagnosis is one of the essential components in intelligent education and aims to diagnose student’s skill or knowledge mastery based on their responses. Recently, with the development of artificial intelligence, some researchers have applied neural network methods to cognitive diagnosis. Although they achieved some success, they seemed to lack a certain basis for designing network structures and could not obtain a unified method for designing network structures. We propose a neural network method for cognitive diagnosis based on Q-matrix constraints, introducing the Q-matrix from tr

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Yuniarti, A. P., I. Pramudya, and I. Slamet. "Analysis of mathematic creative thinking skill with the material of matrix." Journal of Physics: Conference Series 1796, no. 1 (2021): 012041. http://dx.doi.org/10.1088/1742-6596/1796/1/012041.

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van Erp, Tim, Rui Goncalves, and Niels Gorm Maly Rytter. "Design of matrix production systems: A skill-based systems engineering approach." Procedia CIRP 120 (2023): 1173–78. http://dx.doi.org/10.1016/j.procir.2023.09.144.

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Surov, I. A. "Life cycle: semantic matrix of process modeling." Ontology of designing 12, no. 4 (2022): 430–53. http://dx.doi.org/10.18287/2223-9537-2022-12-4-430-453.

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Acceleration of socio-technological changes increases demands and complexity of process modeling tasks. Developing the appropriate thinking skills is becoming a mass necessity. This paper describes a method for representation of pro- cesses, allowing systematization of such skill based on life cycle. Any process is then represented as a sequence of stag- es: perception, analysis, design, action, coordination, and evaluation. This sequence is formalized as a circular trajecto- ry on a phase space, the Cartesian axes of which are the activity and potency factors of classical semantics. As a resu

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Ferguson, Hannah, Michelle Ho, and Tanya Lawlis. "The Contribution of Work-Integrated Learning to Nutrition Undergraduate Employability Skill Development." Journal of Teaching and Learning for Graduate Employability 15, no. 1 (2024): 146–67. http://dx.doi.org/10.21153/jtlge2024vol15no1art1812.

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The field of nutrition has seen a growing interest and demand in recent years, with more students choosing to study within the field. This demand has highlighted the importance of producing work-ready graduates with skills that enhance their employability and ability to contribute effectively to the workforce. This study investigated the role of work-integrated learning (WIL) on improving employability skills in nutrition undergraduates (n=41) at an Australian university. Perceived skill development was determined using the Employability Skills Cluster Matrix-Self Assessment Tool (ESCM-SAT). S

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Kudelko, Zoya, and Ihor Logvinov. "Life-skill concept in the matrix of competences of higher education acquirents." IMAGE OF THE MODERN PEDAGOGUE 1, no. 2 (2024): 74–78. http://dx.doi.org/10.33272/2522-9729-2024-2(215)-74-78.

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Kudelko, Zoya, and Ihor Logvinov. "Life-skill concept in the matrix of competences of higher education acquirents." IMAGE OF THE MODERN PEDAGOGUE 1, no. 2 (2024): 74–78. http://dx.doi.org/10.33272/2522-9729-2023-2(215)-74-78.

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23

Jauhiainen, Susanne, Tron Krosshaug, Erich Petushek, Jukka-Pekka Kauppi, and Sami Äyrämö. "Information Extraction from Binary Skill Assessment Data with Machine Learning." International Journal of Learning Analytics and Artificial Intelligence for Education (iJAI) 3, no. 1 (2021): 20. http://dx.doi.org/10.3991/ijai.v3i1.24295.

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Strength training exercises are essential for rehabilitation, improving our health as well as in sports. For optimal and safe training, educators and trainers in the industry should comprehend exercise form or technique. Currently, there is a lack of tools measuring in-depth skills of strength training experts. In this study, we investigate how data mining methods can be used to identify novel and useful skill patterns from a binary multiple choice questionnaire test designed to measure the knowledge level of strength training experts. A skill test assessing exercise technique expertise and co

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Basri, Haslina Hassan, Wan Sallha Yusoff, Mohd Rosli Abdul Ghani, Faizatul Hasliyanti Ghazali, and Nur Shira Ain Mohd Nasir. "THE EFFECT OF BOARD OF DIRECTORS' COMPOSITION ON FIRM VALUE FOR MULTINATIONAL COMPANIES IN MALAYSIA." International Journal of Entrepreneurship and Management Practices 6, no. 22 (2023): 20–37. http://dx.doi.org/10.35631/ijemp.622003.

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This study was conducted with the objective of evaluating the effect of board composition on firm value for multinational companies (MNCs) incorporated in Malaysia. The scope of the study consists of MNCs listed on Bursa Malaysia in 2018 to 2020. The analysis of the study is carried out quantitatively using multiple regression panel data. Surplus value is used as a proxy for firm value. In addition to independent Board Members (ALP), ALP diversity and ALP skill matrix are also used as proxies for board composition. The results of the study show that the independent ALP and the ALP skill matrix

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Yura, Narantsatsral, and Ayush Andryei. "Using Talent Management to Train and Develop Employees in the Mining Industry." Embedded Selforganising Systems 9, no. 4 (2022): 39–44. http://dx.doi.org/10.14464/ess.v9i4.582.

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The business environment is rapidly changing and in order to create a competitive advantage in the market, organizations are facing the problems of attracting highly skilled employees, hiring and training the right people for specialized jobs, and effectively managing the talent pool and succession pool. In the 21st century, when advanced technologies such as artificial intelligence, big data, robots, and automation are exploding in the labor market, some jobs are disappearing and new careers are being created, organizations need to prepare employees for these changes. Therefore, by studying t

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Goodman, Marina. "Exploring Matrices with Spreadsheets." Mathematics Teacher: Learning and Teaching PK-12 114, no. 10 (2021): 781–86. http://dx.doi.org/10.5951/mtlt.2021.0055.

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Rahman, Shams, Laura Yang (Yang Xiaoyan), and Yang Xiaoyan. "Skill Requirements for Logistics Professionals in China: An Importance- Expertise Matrix Analysis." Supply Chain Forum: An International Journal 13, no. 2 (2012): 40–52. http://dx.doi.org/10.1080/16258312.2012.11517291.

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Chen, Chih-Chia, Yonjoong Ryuh, John Lamberth, Zhujung Pan, and Fran Conners. "The effects of different exercise modalities on visuospatial working memory in healthy young adults." Journal of Human Sport and Exercise 19, no. 4 (2024): 1084–94. http://dx.doi.org/10.55860/xhx8j351.

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This study was to differentiate the acute effects of random motor skill practice and acute cardiovascular exercise on the task performance in visuospatial working memory (VSWM). 24 healthy adults with no golf experience were randomized into random motor skill practice (i.e., golf putting task) and acute cardiovascular exercise (i.e., 64% and 76 % of predicted maxi-mum heart rate) groups. Pre-test and post-test were administered for two VSWM tasks (i.e., memory matrix and rotation matrix). The performance of VSWM was improved immediately after the acute intervention. However, the improvement in

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Hautala, Robert M., and James H. Conn. "A Test of Magill's Closed-to-Open Continuum for Skill Development." Perceptual and Motor Skills 77, no. 1 (1993): 219–26. http://dx.doi.org/10.2466/pms.1993.77.1.219.

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Magills arrangement of Gentile's 2 × 2 matrix of skills classification into a closed-to-open-skill learning continuum was investigated. 63 volunteer university students were assigned to three experimental groups who performed different learning sequences on the Bachman Ladder for four practice sessions, climbing the unsupported Bachman Ladder (Task 4) in the final scored session. Following practice sessions, a five-trial, scored, Task 4 “retention” session was performed. Analysis of variance of retention trials indicated no difference between the practice groups regardless of practice sequence

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Chaudhari, Hitesh, and Sandeep Mishra. "Leveraging Artificial Intelligence for Enhanced Performance in Matrix Organizations: A Research Perspective." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 07 (2024): 1–10. http://dx.doi.org/10.55041/ijsrem36332.

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In today's complex business landscape, matrix organizations represent a prevalent structural framework characterized by overlapping reporting structures and cross-functional project teams. This organizational model, while offering flexibility and specialization, also presents unique challenges in resource allocation, decision-making, collaboration, and project management. This research paper investigates the potential of artificial intelligence (AI) to address these challenges and enhance the performance of matrix organizations. Drawing upon an extensive review of existing literature and relev

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Rashid, Tallat, Kiran Shehzadi, and Farzana Yousaf. "Development of Social Skills: A Study Comparing Male and Female Students' Social Skills in Public Schools of Lahore." Global Social Sciences Review V, no. III (2020): 259–68. http://dx.doi.org/10.31703/gssr.2020(v-iii).27.

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The study explored the developed social skills between male and female students at the elementary level. A total of 550 Students were selected using multi-stage cluster sampling in the district of Lahore. Explored social skills included accepting criticism, showing respect, solving problems, accepting rights & responsibilities and tolerance of individual differences. A scale consisting of sixty-nine items was developed and standardized through factor analysis. The instrument was checked and ensured for reliability measures using Cronbach's Alpha (r = .75, p < .05). Five factors were ide

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Wu, Haiyan, Xinya Liang, Hülya Yürekli, Betsy Jane Becker, Insu Paek, and Salih Binici. "Exploring the Impact of Q-Matrix Specifications Through a DINA Model in a Large-Scale Mathematics Assessment." Journal of Psychoeducational Assessment 38, no. 5 (2019): 581–98. http://dx.doi.org/10.1177/0734282919867535.

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The demand for diagnostic feedback has triggered extensive research on cognitive diagnostic models (CDMs), such as the deterministic input, noisy output “and” gate (DINA) model. This study explored two Q-matrix specifications with the DINA model in a statewide large-scale mathematics assessment. The first Q-matrix was developed based on five predefined content reporting categories, and the second was based on the post hoc coding of 15 attributes by test-development experts. Total raw scores correlated strongly with the number of skills mastered, using both Q-matrices. Correlations between the

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Yanti, Ili, Rosi Widia Asiani, and Muhammad Kukuh. "STUDENTS' MATHEMATICAL LITERACY IN SOLVING HIGHER ORDER THINKING SKILL PROBLEMS ON MATRIX MATERIAL." Jurnal Pendidikan Matematika (JUPITEK) 5, no. 2 (2022): 175–86. http://dx.doi.org/10.30598/jupitekvol5iss2pp175-186.

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This qualitative descriptive study aims to describe students' mathematical literacy skills in solving Higher Order Thinking Skills (HOTS) questions on matrix material. The method used in this research is qualitative method. The subjects of this study were 6 students of class XI IPA SMA Al-Azhar Jambi. The instrument used is the initial ability test which contains 5 items, the Higher Order Thinking Skills (HOTS) written test which contains 3 essay questions and interview guidelines. Data analysis techniques include domain, taxonomy and componential analysis. The results of this study are: 1) It

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Seto, Ariyo, Mohamad Sam'un, and Fatimah Azzahra. "Human Resource Development Strategy in the Beef Industry at CV Sakha Muria, Depok, West Java, Indonesia." Agriecobis : Journal of Agricultural Socioeconomics and Business 7, no. 01 (2024): 51–65. http://dx.doi.org/10.22219/agriecobis.v7i01.31304.

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CV Sakha Muria, a beef distribution enterprise, has established a robust presence across Java. This research endeavors to delineate and scrutinize the principal determinants of the company, as well as to delineate priority strategies. Employing a descriptive method with a mixed-method approach, primary data was gathered through interviews and questionnaires, supplemented by secondary data extracted from pertinent academic journals and BPS datasets. Purposive sampling was employed, with a sample size of 19 individuals. Data analysis entailed the utilization of the Internal Factors Evaluation (I

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Khajah, Mohammad M. "Supercharging BKT with Multidimensional Generalizable IRT and Skill Discovery." Journal of Educational Data Mining (JEDM) 16, no. 1 (2024): 233–78. https://doi.org/10.5281/zenodo.11235602.

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Bayesian Knowledge Tracing (BKT) is a popular interpretable computational model in the educationalmining community that can infer a student’s knowledge state and predict future performance based onpractice history, enabling tutoring systems to adaptively select exercises to match the student’s competencylevel. Existing BKT implementations do not scale to large datasets and are difficult to extendand improve in terms of prediction accuracy. On the other hand, uninterpretable neural network (NN)student models, such as Deep Knowledge Tracing, enjoy the speed and modeling flexibility o

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Adriyanto, Agus. "The Role of Leadership, Management, and Motivation in Indonesian Naval Officers' Performance." International Journal of Educational Narratives 2, no. 1 (2023): 31–41. http://dx.doi.org/10.70177/ijen.v2i1.602.

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Background. In this research, the Indonesian National Navy principals have been chosen as unit analysis and 60 samples were purposive sampling. Purpose. The objective of this research is to know the effect of Leadership, Management Skill, and Motivation to Performance of Indonesian navy officers. Method. Survey was applied in this research which data had been analyzed by path analysis after all variables put into a correlational matrix. Results. The result of the research shows that Performance of navy is effected directly by Leadership, Management Skill, and Motivation. It is also found that

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Varenyk, Victoriia, and Zhanna Piskova. "Soft, hard, and digital skills for managers in the digital age: Business requirements and the need to master them." Development management 23, no. 1 (2024): 46–61. http://dx.doi.org/10.57111/devt/1.2024.46.

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Digitalisation in Ukraine and the world changes products, services, and business processes, affecting the number and quality of jobs due to the need for digital skills. Employers are requiring new skills from candidates in job profiles for existing managerial positions. The purpose of this study was to investigate the impact of soft skills, hard skills, and digital skills on managers in the era of digitalisation based on the analysis of business requirements. The following methods were used: theoretical generalisation and comparison (disclosure of the content of each group of skills), analysis

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Swain, Sukanta Chandra, and Sunil Kumar Padhi. "Economic Activities for Repatriated Migrant Workers of India: A Framework for Rural Development." Asian Journal of Agriculture and Rural Development 10, no. 3 (2020): 749–55. http://dx.doi.org/10.18488/journal.ajard.2020.103.749.755.

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This paper's basic objective is to design a framework for the efficient accommodation of repatriated migrant workers in Odisha's rural sector (India). For this purpose, secondary data derived through content analysis have been analyzed and interpreted. Besides recognizing migrant workers' wishes and ascertaining their inbuilt skill sets, the framework will focus on skill mapping with the existing and would-be economic activities in the rural sector. Since the inflow of returnee migrant workers to the rural sector has been a crucial point of concern for respective state governments owing to the

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Rasal, Chitali, and Suhas B. Dhande. ""Skill Matrix"-Analysis of Flexibility Index & Improvisation with Template for Optimum Cost & Efforts." KRSCMS Journal of Management 4, no. 4 (2014): 56. http://dx.doi.org/10.21319/krscms/2014/99587.

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Santhosh Kumar, R. "Employee Skill Matrix Approach in Automobile Industry with Special Reference to Krishnagiri District, Tamilnadu, India." Review of Professional Management- A Journal of New Delhi Institute of Management 13, no. 1 (2015): 95. http://dx.doi.org/10.20968/rpm/2015/v13/i1/69427.

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Fadlurrochman, Rizqon Fuadi, Ammar Hanif Sumartana, Leni Apriyanti, et al. "Development of Inverce Matrix Module Related to Student’s Mathematical Connection Skills." Journal of Instructional Mathematics 3, no. 2 (2022): 83–91. http://dx.doi.org/10.37640/jim.v3i2.1558.

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The purpose of this study was to describe the process and results of the development of the matrix Inverce module related to students' mathematical connection skill, as well as to describe the quality of the matrix Inverce module in terms of validity and practicality. The method used was design research with Plomp model, includes the initial research stage, development stage, and assessment stage. The data was obtained from interview, document analysis, and questionnaire. The result of this study showed that developed module was valid based on validation of material experts, media experts, and

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Goldin, Ilya, and April Galyardt. "Most of the Time, It Works Every Time: Limitations in Refining Domain Models with Learning Curves." Journal of Educational Data Mining 10, no. 2 (2018): 55–92. https://doi.org/10.5281/zenodo.3554694.

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Data from student learning provide learning curves that, ideally, demonstrate improvement in student performance over time. Existing data mining methods can leverage these data to characterize and improve the domain models that support a learning environment, and these methods have been validated both with already-collected data, and in close-the-loop studies that actually modify instruction. However, these methods may be less general than previously thought, because they have not been evaluated under a wide range of data conditions. We describe a problem space of 90 distinct scenarios within

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Kabashkin, Igor. "Development of Digital Training Twins in the Aircraft Maintenance Ecosystem." Algorithms 18, no. 7 (2025): 411. https://doi.org/10.3390/a18070411.

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This paper presents an integrated digital training twin framework for adaptive aircraft maintenance education, combining real-time competence modeling, algorithmic orchestration, and cloud–edge deployment architectures. The proposed system dynamically evaluates learner skill gaps and assigns individualized training resources through a multi-objective optimization function that balances skill alignment, Bloom’s cognitive level, fidelity tier, and time efficiency. A modular orchestration engine incorporates reinforcement learning agents for policy refinement, federated learning for privacy-prese

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Weber, Laura Ruth, Harald Ritz, and Sven Liepertz. "Konzeption eines Frameworks zur Analyse der Data Literacy." Anwendungen und Konzepte der Wirtschaftsinformatik, no. 11 (July 22, 2020): 1. http://dx.doi.org/10.26034/lu.akwi.2020.3257.

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Seit Jahren steigt das Datenwachstum kontinuierlich an. Diese Menge an Daten birgt ein großes Potential für Unternehmen und bietet ihnen die Möglichkeit, dem steigenden Wettbewerbsdruck durch die Globalisierung standzuhalten. Führungskräften und Mitarbeitern fehlt jedoch die Fähigkeit, fundierte Entscheidungen basierend auf Daten zu treffen. Die Problematik besteht darin, dass aufgrund von fehlendem Datenverständnis aus den wertvollen Daten kein Nutzen gezogen wird und somit datengesteuerte Handlungen ausbleiben. Auslöser für diese Defizite sind mangelndes Bewusstsein für die Relevanz des Them

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Viner, Kevin Martillo. "Comment Clauses and mood choice in New York City Spanish." Linguistic Approaches to Bilingualism 10, no. 5 (2019): 728–44. http://dx.doi.org/10.1075/lab.18046.vin.

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Abstract This paper focuses on Spanish grammatical mood variation in Comment Clauses (e.g., es mejor que no vayas (subjunctive) / vas (indicative) ‘it’s better you not go’) in the speech of two generations in New York City. The data come from 36 participants, 18 from each of two generational cohorts. Carried out within the variationist-sociolinguistic research paradigm, we test grammatical mood against eight variables, four external (generation, region, speaker sex, language skill) and four internal (grammatical tense, clause type, lexical identity, negation). Statistical findings reveal that

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Nuritasari, Fetty, Sri Indriati Hasanah, and Aan Sholehoddin. "ANALISIS KESALAHAN SISWA DALAM MENYELESAIKAN SOAL MATEMATIKA POKOK BAHASAN MATRIKS DI KELAS XI MA." JP2M (Jurnal Pendidikan dan Pembelajaran Matematika) 3, no. 2 (2017): 108. http://dx.doi.org/10.29100/jp2m.v3i2.1761.

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<p><em>This research is aimed to know about location and type of errors the students do and contributing factor.The research subject are students on the elevent grade in MA. The methods used for data collection in this research are tests and interviews. The conclusion of this research are a) the location of students error on XI grade MA in solving the matrix problem are: misunderstanding of the problem (known, asked), error in solving the problem, error writing the final answer, b) the type of students error on XI grade MA in solving matrix problem are: concept errors, principle er

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Bianco, Laura, Irina V. Djalalova, James M. Wilczak, et al. "A Wind Energy Ramp Tool and Metric for Measuring the Skill of Numerical Weather Prediction Models." Weather and Forecasting 31, no. 4 (2016): 1137–56. http://dx.doi.org/10.1175/waf-d-15-0144.1.

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Abstract A wind energy Ramp Tool and Metric (RT&M) has been developed out of recognition that during significant ramp events (large changes in wind power over short periods of time ) it is more difficult to balance the electric load with power production than during quiescent periods between ramp events. A ramp-specific metric is needed because standard metrics do not give special consideration to ramp events and hence may not provide an appropriate measure of model skill or skill improvement. This RT&M has three components. The first identifies ramp events in the power time series. Th

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Liedtke, Andreas. "Digital Skills." zfo 93, no. 4 (2024): 219–23. http://dx.doi.org/10.34156/0722-7485-2024-4-219.

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Für einen nachhaltigen Unternehmenserfolg spielen digitale Kompetenzen eine wichtige Rolle. Zur Selbsteinschätzung der digitalen Kompetenzen wurde das validierte European Digital Competence Framework eingesetzt. So entstand ein Überblick über den Ist-Zustand der digitalen Skills bei der Stiftung Brändi. Ungefähr 660 Personen haben an diesem Self-Assessment teilgenommen. Zur Beschreibung des Soll-Zustands der digitalen Kompetenzen wurden Workshops mit den Mitarbeitenden durchgeführt. Die dabei erstellte Skill-Matrix zeigt, welche digitalen Kompetenzen für welches Rollenprofil bei Brändi wie rel

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Zikra, Fahmi Aulia, Melisa Melisa, and Hafizah Delyana. "Analisis Kesalahan Siswa Dalam Menyelesaikan Operasi Perkalian Matriks Kelas XI IPS 2 SMA Negeri 2 Gunung Talang." Horizon 3, no. 2 (2023): 185–96. http://dx.doi.org/10.22202/horizon.v3i2.6623.

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This research is motivated by the many mistakes made by students in working on questions on matrix material. The aim of the study was to find out how the description of the mistakes made by students of class XI IPS 2 SMA Negeri 2 Gunung Talang. The research method used is descriptive with a quantitative approach. The subjects of this study were students of class XI IPS 2 SMA Negeri 2 Gunung Talang. The sampling technique used purposive sampling technique. Research instruments were used to collect data in the form of tests, interviews and documentation. The test results were analyzed according

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Ravand, Hamdollah. "Application of a Cognitive Diagnostic Model to a High-Stakes Reading Comprehension Test." Journal of Psychoeducational Assessment 34, no. 8 (2016): 782–99. http://dx.doi.org/10.1177/0734282915623053.

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General cognitive diagnostic models (CDM) such as the generalized deterministic input, noisy, “and” gate (G-DINA) model are flexible in that they allow for both compensatory and noncompensatory relationships among the subskills within the same test. Most of the previous CDM applications in the literature have been add-ons to simulation studies. Although there are some applications of CDMs such as the Fusion Model and the Rule Space Model to educational assessment data in general and second-language data in particular, there are few studies applying general models such as the G-DINA. The purpos

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