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1

Bolwell, Brian J. "Contextual Intelligence." Oncology Times 40, no. 9 (May 2018): 26. http://dx.doi.org/10.1097/01.cot.0000533693.68948.71.

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Ooi, Beng Chin, Kian Lee Tan, Quoc Trung Tran, James W. L. Yip, Gang Chen, Zheng Jye Ling, Thi Nguyen, Anthony K. H. Tung, and Meihui Zhang. "Contextual crowd intelligence." ACM SIGKDD Explorations Newsletter 16, no. 1 (September 25, 2014): 39–46. http://dx.doi.org/10.1145/2674026.2674032.

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3

Brown, Charles H., Dan Gould, and Sandra Foster. "A Framework for Developing Contextual Intelligence (CI)." Sport Psychologist 19, no. 1 (March 2005): 51–62. http://dx.doi.org/10.1123/tsp.19.1.51.

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This article reviews the emerging concept of Contextual Intelligence (CI) and its relevance to sport psychology. Interviews with expert performance consultants suggest that CI is a key factor in successful consultations. Although CI has often been considered a tacit process learned indirectly through experience, systems theory and institutional research offer models for assessing organizations and developing contextual “maps.” By having a framework and language for assessing context, sport psychologists can more effectively develop contextually intelligent and culturally appropriate interventions. The authors offer a framework for assessing context and developing contextual “maps.” Specific guidelines and principles for designing contextually intelligent interventions are provided.
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Ling, Foo Choi, Jugindar Singh Kartar Singh, and Thilageswary Arumugam. "Employee Contextual Performance, Social Intelligence, Spiritual Intelligence: A quantitative Study in Malaysia." International Journal of Psychosocial Rehabilitation 24, no. 02 (February 12, 2020): 968–81. http://dx.doi.org/10.37200/ijpr/v24i2/pr200404.

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Khanna, Tarun. "A Case for Contextual Intelligence." Management International Review 55, no. 2 (March 25, 2015): 181–90. http://dx.doi.org/10.1007/s11575-015-0241-z.

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Salthouse, Timothy A., Jeffrey E. Pink, and Elliot M. Tucker-Drob. "Contextual analysis of fluid intelligence." Intelligence 36, no. 5 (September 2008): 464–86. http://dx.doi.org/10.1016/j.intell.2007.10.003.

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Choi ling, Foo, Jugindar Singh Kartar Singh, and Thilageswary Arumugam. "Spiritual Intelligence, Emotional Intelligence and Contextual Performance: An Empirical Study in the Services Sector in Malaysia." International Journal of Psychosocial Rehabilitation 24, no. 02 (February 12, 2020): 939–51. http://dx.doi.org/10.37200/ijpr/v24i2/pr200402.

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Weidenbach, Christoph, and Patrick Wischnewski. "Subterm contextual rewriting." AI Communications 23, no. 2-3 (2010): 97–109. http://dx.doi.org/10.3233/aic-2010-0459.

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9

Suan, Chin, Susan Tee, and Rosman Md Yusoff. "ROLE OF EMOTIONAL INTELLIGENCE IN ENHANCING CONTEXTUAL PERFORMANCE." PEOPLE: International Journal of Social Sciences 3, no. 2 (October 11, 2017): 205–11. http://dx.doi.org/10.20319/pijss.2017.32.

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Chin, Susan Tee Suan,, and Rosman Md Yusoff. "ROLE OF EMOTIONAL INTELLIGENCE IN ENHANCING CONTEXTUAL PERFORMANCE." PEOPLE: International Journal of Social Sciences 3, no. 2 (October 20, 2018): 2532–43. http://dx.doi.org/10.20319/pijss.2017.32.25322543.

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Logman, Marc. "Contextual intelligence and flexibility: understanding today's marketing environment." Marketing Intelligence & Planning 26, no. 5 (August 2008): 508–20. http://dx.doi.org/10.1108/02634500810894343.

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Bikakis, Antonis, and Grigoris Antoniou. "Defeasible Contextual Reasoning with Arguments in Ambient Intelligence." IEEE Transactions on Knowledge and Data Engineering 22, no. 11 (November 2010): 1492–506. http://dx.doi.org/10.1109/tkde.2010.37.

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13

Strong, Emily, Bernard Kleynhans, and Serdar Kadıoğlu. "MABWISER: Parallelizable Contextual Multi-armed Bandits." International Journal on Artificial Intelligence Tools 30, no. 04 (June 2021): 2150021. http://dx.doi.org/10.1142/s0218213021500214.

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Contextual multi-armed bandit algorithms are an effective approach for online sequential decision-making problems. However, there are limited tools available to support their adoption in the community. To fill this gap, we present an open-source Python library with context-free, parametric and non-parametric contextual multi-armed bandit algorithms. The MABWiser library is designed to be user-friendly and supports custom bandit algorithms for specific applications. Our design provides built-in parallelization to speed up training and testing for scalability with special attention given to ensuring the reproducibility of results. The API makes hybrid strategies possible that combine non-parametric policies with parametric ones, an area that is not explored in the literature. As a practical application, we demonstrate using the library in both batch and online simulations for context-free, parametric and non-parametric contextual policies with the well-known MovieLens data set. Finally, we quantify the performance benefits of built-in parallelization.
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Kaytoue, Mehdi, Marc Plantevit, Albrecht Zimmermann, Anes Bendimerad, and Céline Robardet. "Exceptional contextual subgraph mining." Machine Learning 106, no. 8 (January 11, 2017): 1171–211. http://dx.doi.org/10.1007/s10994-016-5598-0.

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Susiaty, Utin Desy, and Hodiyanto Hodiyanto. "The Experimentation of Contextual and Realistic Learning Models in terms of Interpersonal Intelligence." JIPM (Jurnal Ilmiah Pendidikan Matematika) 8, no. 1 (September 27, 2019): 9. http://dx.doi.org/10.25273/jipm.v8i1.3952.

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<p>The aims of this study is to find out: (1) a better learning model between contextual, realistic or conventional; (2) better learning outcomes between students with high, medium or low interpersonal intelligence; (3) better learning outcomes between students with high, medium or low interpersonal intelligence on each learning model; (4) a better learning model between contextual, realistic or conventional at each level of interpersonal intelligence. This research is using the experimental method. The sampling technique is cluster random sampling. Data collection tools used were questionnaires and tests. The data analysis technique used is the analysis of three-way variance with unequal cells. The results showed that: (1) contextual learning models are better than realistic but provide the same learning outcomes as conventional, while realistic and conventional learning outcomes are equally good; (2) students who have high, medium or low interpersonal intelligence have the same learning outcomes; (3) In each learning model, students with high, medium and low interpersonal intelligence have the same learning outcomes; (4) At each level of interpersonal intelligence, the contextual learning model is better than realistic and conventional.</p>
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Bayyinah, Rahmatul, Syubhan An'nur, and Suriasa Suriasa. "Perbedaan Keterampilan Berpikir Kreatif Siswa Terhadap Strategi Pembelajaran Multiple Intelligences Dan Contextual Teaching Learning." Berkala Ilmiah Pendidikan Fisika 2, no. 3 (October 25, 2014): 234. http://dx.doi.org/10.20527/bipf.v2i3.874.

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ABSTRACT: Creative thinking skills of the students of class VII MTsN Mulawarman Banjarmasin on physics lesson is low. This is due to the evaluation of learning rarely apply creative thinking skills, as well as the implementation of learning activities predominantly on one type of intelligence, logical-mathematical. Therefore, we need a strategy that can develop creative thinking skills and refers to the different spheres of intelligence, multiple intelligences learning strategies that contextual teaching and learning (CTL). The general objective of this study is to describe the differences between the multiple intelligences and learning strategies (CTL) to the creative thinking skills of students. Research conducted a quasi-experimental study design randomized pretest and posttest control group. The study population was all students of class VII MTsN Mulawarman Banjarmasin and the sample were students of class VII D as an experimental class and E class VII as a control class. Data collection was conducted using test instruments, and multiple intelligences scale questionnaire. The analysis technique used is descriptive statistics and parametric assumptions to test the hypothesis. The results showed that in general there is a difference between the students' creative thinking skills and classroom control classroom experiment. This is supported by the results of the analysis, which was performed on the data posttest and gain scores, two classes, namely thit , 3.177 > 1.665 ttab , and thit , 2.104 > ttab , 1,665 .multiple intelligences learning strategies; creative thinking skills
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Satriyono, Gandung, and Pamadya Vitasmoro. "PENGARUH KECERDASAN EMOSIONAL TERHADAP KINERJA GURU DI SMP NEGERI 4 KEDIRI." Ekonika : Jurnal ekonomi universitas kadiri 3, no. 1 (April 5, 2018): 31. http://dx.doi.org/10.30737/ekonika.v3i1.104.

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The purpose of the study is to find out the emotional intelligence which consists of social awareness, self management, social awareness, and relationship management toward the contextual performance.This research used quantitative method with double regression analyzes. The respondent was 45 teachers. From the research is gotten that the emotional intelligence and teachers contextual performance is good enough and very good and the variable of emotional intelligence influences significantly toward the teacher’s contextual performance. It means, the dependent variable namely emotional intelligence ( social awareness, self management, empathy, and relationship management) can explain the independent variable ( contextual performance) is bigger than another variable out of this research. So, it can be concluded that emotional intelligence influences the teacher’s contextual performance. Tujuan dari penelitian ini adalah untuk mengetahui kecerdasan emosional yang terdiri dari kesadaran sosial, manajemen diri, kesadaran sosial, dan manajemen hubungan terhadap kinerja kontekstual. Penelitian ini menggunakan metode kuantitatif dengan analisis regresi berganda. Respondennya adalah 45 guru. Dari penelitian didapatkan bahwa kecerdasan emosi dan kinerja kontekstual guru cukup baik dan sangat baik serta variabel kecerdasan emosional berpengaruh signifikan terhadap kinerja kontekstual guru. Artinya, variabel dependen yaitu kecerdasan emosional (social awareness, self management, empathy, dan relationship management) dapat menjelaskan variabel independen (kinerja kontekstual) lebih besar dari variabel lain dari penelitian ini. Jadi, dapat disimpulkan bahwa kecerdasan emosi mempengaruhi kinerja kontekstual guru.
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18

Ren, Hong, Dilek G. Yunlu, Margaret A. Shaffer, and Katherine M. Fodchuk. "Thriving and retention of expatriates: Cultural intelligence and organizational embeddedness inputs." International Journal of Cross Cultural Management 21, no. 2 (March 26, 2021): 203–26. http://dx.doi.org/10.1177/14705958211004655.

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Drawing on Conservation of Resources theory and the socially embedded model of thriving, we examine the resource antecedents and retention outcome of expatriate thriving. Using two-wave panel data from 103 international teachers in the United States, we found that the personal resource of cultural intelligence directly influenced thriving, and thriving led to expatriate actual retention. In addition, the contextual resource of organizational embeddedness served as a boundary condition that augmented cultural intelligence’s positive effect on thriving. Applying the concept of thriving to explicate expatriate experiences, we go beyond the dominant emphasis in the expatriate literature on expatriate adjustment. In doing so, we highlight the joint contribution of both personal and contextual resources associated with global work experiences and pinpoint potential boundary conditions that enable thriving.
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19

Ruiz Pérez, Luis Miguel, José Luis Graupera Sanz, and Virginia García Coll. "Self-perceived contextual intelligence in sport. Development and validation of a questionnaire." cultura_ciencia_deporte 9, no. 27 (October 31, 2014): 211–24. http://dx.doi.org/10.12800/ccd.v9i27.463.

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20

Poole, D., and N. L. Zhang. "Exploiting Contextual Independence In Probabilistic Inference." Journal of Artificial Intelligence Research 18 (June 1, 2003): 263–313. http://dx.doi.org/10.1613/jair.1122.

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Bayesian belief networks have grown to prominence because they provide compact representations for many problems for which probabilistic inference is appropriate, and there are algorithms to exploit this compactness. The next step is to allow compact representations of the conditional probabilities of a variable given its parents. In this paper we present such a representation that exploits contextual independence in terms of parent contexts; which variables act as parents may depend on the value of other variables. The internal representation is in terms of contextual factors (confactors) that is simply a pair of a context and a table. The algorithm, contextual variable elimination, is based on the standard variable elimination algorithm that eliminates the non-query variables in turn, but when eliminating a variable, the tables that need to be multiplied can depend on the context. This algorithm reduces to standard variable elimination when there is no contextual independence structure to exploit. We show how this can be much more efficient than variable elimination when there is structure to exploit. We explain why this new method can exploit more structure than previous methods for structured belief network inference and an analogous algorithm that uses trees.
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21

Bikakis, Antonis, and Grigoris Antoniou. "Contextual Defeasible Logic and Its Application to Ambient Intelligence." IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans 41, no. 4 (July 2011): 705–16. http://dx.doi.org/10.1109/tsmca.2011.2132715.

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22

Bikakis, Antonis, Grigoris Antoniou, and Panayiotis Hasapis. "Strategies for contextual reasoning with conflicts in ambient intelligence." Knowledge and Information Systems 27, no. 1 (April 9, 2010): 45–84. http://dx.doi.org/10.1007/s10115-010-0293-0.

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23

Benerecetti, M., P. Bouquet, and C. Ghidini. "Contextual reasoning distilled." Journal of Experimental & Theoretical Artificial Intelligence 12, no. 3 (July 2000): 279–305. http://dx.doi.org/10.1080/09528130050111446.

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24

Peleașă, Steluța. "Grit utility in explaining job and contextual performance." Studia Doctoralia 9, no. 1 (October 27, 2018): 54–64. http://dx.doi.org/10.47040/sd/sdpsych.v9i1.61.

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The study aims to analyze if grit brings incremental validity in the prediction of job performance criteria (task performance, organizational citizenship behaviors and counterproductive work behaviors), in addition to some classical predictors such as emotional intelligence and some personality factors (conscientiousness and agreeableness). The sample consists of 170 employees from various fields of activity. Regression analysis has shown that grit has no incremental validity to personality and emotional intelligence in predicting any of the work performance criteria (task performance, organizational citizenship behaviors and counterproductive work behaviors). The study therefore brings to the academic literature one more proof for the fact that it is difficult to consider grit an independent, self-constructed concept.
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Peleașă, Steluța. "Grit utility in explaining job and contextual performance." Studia Doctoralia 9, no. 1 (October 27, 2018): 54–64. http://dx.doi.org/10.47040/sd0000058.

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The study aims to analyze if grit brings incremental validity in the prediction of job performance criteria (task performance, organizational citizenship behaviors and counterproductive work behaviors), in addition to some classical predictors such as emotional intelligence and some personality factors (conscientiousness and agreeableness). The sample consists of 170 employees from various fields of activity. Regression analysis has shown that grit has no incremental validity to personality and emotional intelligence in predicting any of the work performance criteria (task performance, organizational citizenship behaviors and counterproductive work behaviors). The study therefore brings to the academic literature one more proof for the fact that it is difficult to consider grit an independent, self-constructed concept.
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26

Mihelčić, Matej, and Tomislav Šmuc. "Targeted and contextual redescription set exploration." Machine Learning 107, no. 11 (July 5, 2018): 1809–46. http://dx.doi.org/10.1007/s10994-018-5738-9.

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27

Belogolovsky, Stav, Philip Korsunsky, Shie Mannor, Chen Tessler, and Tom Zahavy. "Inverse reinforcement learning in contextual MDPs." Machine Learning 110, no. 9 (May 12, 2021): 2295–334. http://dx.doi.org/10.1007/s10994-021-05984-x.

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AbstractWe consider the task of Inverse Reinforcement Learning in Contextual Markov Decision Processes (MDPs). In this setting, contexts, which define the reward and transition kernel, are sampled from a distribution. In addition, although the reward is a function of the context, it is not provided to the agent. Instead, the agent observes demonstrations from an optimal policy. The goal is to learn the reward mapping, such that the agent will act optimally even when encountering previously unseen contexts, also known as zero-shot transfer. We formulate this problem as a non-differential convex optimization problem and propose a novel algorithm to compute its subgradients. Based on this scheme, we analyze several methods both theoretically, where we compare the sample complexity and scalability, and empirically. Most importantly, we show both theoretically and empirically that our algorithms perform zero-shot transfer (generalize to new and unseen contexts). Specifically, we present empirical experiments in a dynamic treatment regime, where the goal is to learn a reward function which explains the behavior of expert physicians based on recorded data of them treating patients diagnosed with sepsis.
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Nagoshi, Craig T. "The epistemology of intelligence: Contextual variables, tautologies, and external referents." Behavioral and Brain Sciences 10, no. 04 (December 1987): 675. http://dx.doi.org/10.1017/s0140525x00055229.

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Nguyen, T. B., and D. Ziou. "Contextual and non-contextual performance evaluation of edge detectors." Pattern Recognition Letters 21, no. 9 (August 2000): 805–16. http://dx.doi.org/10.1016/s0167-8655(00)00045-3.

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30

Hassani, Alireza, Alexey Medvedev, Arkady Zaslavsky, Pari Delir Haghighi, Prem Prakash Jayaraman, and Sea Ling. "Efficient Execution of Complex Context Queries to Enable Near Real-Time Smart IoT Applications." Sensors 19, no. 24 (December 11, 2019): 5457. http://dx.doi.org/10.3390/s19245457.

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As the Internet of Things (IoT) is evolving at a fast pace, the need for contextual intelligence has become more crucial for delivering IoT intelligence, efficiency, effectiveness, performance, and sustainability. Contextual intelligence enables interactions between IoT devices such as sensors/actuators, smartphones and connected vehicles, to name but a few. Context management platforms (CMP) are emerging as a promising solution to deliver contextual intelligence for IoT. However, the development of a generic solution that allows IoT devices and services to publish, consume, monitor, and share context is still in its infancy. In this paper, we propose, validate and explain the details of a novel mechanism called Context Query Engine (CQE), which is an integral part of a pioneering CMP called Context-as-a-Service (CoaaS). CQE is responsible for efficient execution of context queries in near real-time. We present the architecture of CQE and illuminate its workflows. We also conduct extensive experimental performance and scalability evaluation of the proposed CQE. Results of experimental evaluation convincingly demonstrate that CoaaS outperforms its competitors in executing complex context queries. Moreover, the advanced functionality of the embedded query language makes CoaaS a decent candidate for real-life deployments.
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31

Felzmann, Heike, Eduard Fosch Villaronga, Christoph Lutz, and Aurelia Tamò-Larrieux. "Transparency you can trust: Transparency requirements for artificial intelligence between legal norms and contextual concerns." Big Data & Society 6, no. 1 (January 2019): 205395171986054. http://dx.doi.org/10.1177/2053951719860542.

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Transparency is now a fundamental principle for data processing under the General Data Protection Regulation. We explore what this requirement entails for artificial intelligence and automated decision-making systems. We address the topic of transparency in artificial intelligence by integrating legal, social, and ethical aspects. We first investigate the ratio legis of the transparency requirement in the General Data Protection Regulation and its ethical underpinnings, showing its focus on the provision of information and explanation. We then discuss the pitfalls with respect to this requirement by focusing on the significance of contextual and performative factors in the implementation of transparency. We show that human–computer interaction and human-robot interaction literature do not provide clear results with respect to the benefits of transparency for users of artificial intelligence technologies due to the impact of a wide range of contextual factors, including performative aspects. We conclude by integrating the information- and explanation-based approach to transparency with the critical contextual approach, proposing that transparency as required by the General Data Protection Regulation in itself may be insufficient to achieve the positive goals associated with transparency. Instead, we propose to understand transparency relationally, where information provision is conceptualized as communication between technology providers and users, and where assessments of trustworthiness based on contextual factors mediate the value of transparency communications. This relational concept of transparency points to future research directions for the study of transparency in artificial intelligence systems and should be taken into account in policymaking.
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Peni, Kitri Katon. "THE EFFECTIVENESS OF CONTEXTUAL TEACHING AND LEARNING TO TEACH READING COMPREHENSION VIEWED FROM STUDENTS’ INTELLIGENCE." IJOLTL: Indonesian Journal of Language Teaching and Linguistics 3, no. 2 (May 30, 2018): 119–32. http://dx.doi.org/10.30957/ijoltl.v3i2.451.

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The research examines: (1) the effectiveness of Contextual teaching and learning (CTL) compared to grammar translation method in teaching reading, (2) effect of intelligence quotient to reading comprehension, and (3) interaction between teaching methods and the intelligence in teaching reading. The research was carried out at SMPN 14 Surakarta, using the experimental design assigning 72 students as sample. Data were collected using the documentary and test technique. To analyze the data, Multifactor Analysis of Variance (ANOVA) test of 2x2 and Tukey test were used. The results show that: (1) CTL was more effective than grammar translation method in teaching reading, (2) the students having high intelligence quotient had better reading comprehension than those having low intelligence, and (3) interactions occur between teaching methods and intelligence in teaching reading.
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33

BRÉZILLON, P. "Representation of procedures and practices in contextual graphs." Knowledge Engineering Review 18, no. 2 (June 2003): 147–74. http://dx.doi.org/10.1017/s0269888903000675.

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Over the last ten years a community that is interested in context has emerged. Brézillon (1999) gave a survey of the literature on context in artificial intelligence. There is now a series of conferences on context, a website and a mailing list. The number of web pages with the word “context” has increased tenfold in the last five years. Being among the instigators of the use of context in real-world applications, I present in this paper the evolution of my thoughts over the last years and the results that have been obtained, including a representation formalism based on contextual graphs and the use of this formalism in a real-world application called SART. I present how procedures, practices and context are intertwined, as identified in the SART application and in different domains. I root my view of context in the artificial intelligence area and give a general presentation of my view of context under the three aspects – external knowledge, contextual knowledge and proceduralised context – with the implementation of this view in contextual graphs. I discuss how reasoning is carried out, based on procedure and practices, in the formalism of contextual graphs and show how incremental acquisition of practices is integrated in this formalism.
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34

Pulman, Stephen G. "Bidirectional Contextual Resolution." Computational Linguistics 26, no. 4 (December 2000): 497–537. http://dx.doi.org/10.1162/089120100750105939.

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This paper describes a formalism and implementation for the interpretation and generation of sentences containing context-dependent constructs like determiners, pronouns, focus, and ellipsis. A variant of quasi-logical form is used as an under specified meaning representation, related to resolved logical forms via conditional equivalences. These equivalences define the interpretation of contextually dependent constructs with respect to a given context. Higher-order unification and abduction are used in relating expressions to contexts. The conditional equivalences can be used unchanged in both the interpretation and the generation direction.
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35

Kutz, Matthew R., Debra A. Ball, and Gretchen K. Carroll. "Contextual intelligence behaviors of female hospital managers in the United States." International Journal of Healthcare Management 11, no. 3 (April 24, 2017): 155–63. http://dx.doi.org/10.1080/20479700.2017.1309819.

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36

Vercauteren, Tom, Mathias Unberath, Nicolas Padoy, and Nassir Navab. "CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer-Assisted Interventions." Proceedings of the IEEE 108, no. 1 (January 2020): 198–214. http://dx.doi.org/10.1109/jproc.2019.2946993.

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37

Kutz, Matthew. "Contextual intelligence: overcoming hindrances to performing well in times of change." Development and Learning in Organizations: An International Journal 25, no. 3 (April 26, 2011): 8–11. http://dx.doi.org/10.1108/14777281111125336.

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38

Turney, Peter, and Michael Halasz. "Contextual normalization applied to aircraft gas turbine engine diagnosis." Applied Intelligence 3, no. 2 (June 1993): 109–29. http://dx.doi.org/10.1007/bf00871892.

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39

Blasch, Erik, Robert Cruise, Alexander Aved, Uttam Majumder, and Todd Rovito. "Methods of AI for Multimodal Sensing and Action for Complex Situations." AI Magazine 40, no. 4 (December 20, 2019): 50–65. http://dx.doi.org/10.1609/aimag.v40i4.4813.

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Artificial intelligence (AI) seeks to emulate human reasoning, but is still far from achieving such results for actionable sensing in complex situations. Instead of emulating human situation understanding, machines can amplify intelligence by accessing large amounts of data, filtering unimportant information, computing relevant context, and prioritizing results (for example, answers to human queries) to provide human–machine shared context. Intelligence support can come from many contextual sources that augment data reasoning through physical, environmental, and social knowledge. We propose a decisions-to-data multimodal sensor and action through contextual agents (human or machine) that seek, combine, and make sense of relevant data. Decisions-to-data combines AI computational capabilities with human reasoning to manage data collections, perform data fusion, and assess complex situations (that is, context reasoning). Five areas of AI developments for context-based AI that cover decisions-to-data include: (1) situation modeling (data at rest), (2) measurement control (data in motion), (3) statistical algorithms (data in collect), (4) software computing (data in transit), and (5) human–machine AI (data in use). A decisions-to-data example is presented of a command-guided swarm requiring contextual data analysis, systems-level design, and user interaction for effective and efficient multimodal sensing and action.
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40

Sternberg, Robert J., Vlad Glaveanu, Sareh Karami, James C. Kaufman, Shane N. Phillipson, and David D. Preiss. "Meta-Intelligence: Understanding, Control, and Interactivity between Creative, Analytical, Practical, and Wisdom-Based Approaches in Problem Solving." Journal of Intelligence 9, no. 2 (April 2, 2021): 19. http://dx.doi.org/10.3390/jintelligence9020019.

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A deeper understanding of the processes leading to problem framing and behind finding solutions to problems should help explain variability in the quality of the solutions to those problems. Using Sternberg’s WICS model as the conceptual basis of problem solving, this article discusses the relations between creative, analytical, practical, and wisdom-based approaches as bases for solutions to problems. We use a construct of meta-intelligence to encompass understanding, control, and coordination between these constructs. We propose that constraints can act at each of three levels—individual, contextual, and interactive. Individual constraints include the metacomponents (executive processes) that underpin each of the four kinds of solutions. Contextual constraints direct which of the four approaches are preferred under what circumstances. Finally, interactive constraints involve individual and contextual constraints directly impacting each other’s actions. The model of meta-intelligence and its functioning helps to explain the variability in the ways that individuals frame problems and, as a consequence, in the solutions that are found. The model of meta-intelligence also helps explain why some solutions to problems are so much more comprehensive, and often better, than others.
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41

Wright, W. A. "Contextual image segmentation with a neural network." Neural Networks 1 (January 1988): 531. http://dx.doi.org/10.1016/0893-6080(88)90553-9.

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42

Fernau, Henning, Rudolf Freund, Markus L. Schmid, K. G. Subramanian, and Petra Wiederhold. "Contextual array grammars and array P systems." Annals of Mathematics and Artificial Intelligence 75, no. 1-2 (November 12, 2013): 5–26. http://dx.doi.org/10.1007/s10472-013-9388-0.

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43

Britz, Katarina, and Ivan Varzinczak. "Contextual rational closure for defeasible $\mathcal {ALC}$." Annals of Mathematics and Artificial Intelligence 87, no. 1-2 (July 20, 2019): 83–108. http://dx.doi.org/10.1007/s10472-019-09658-2.

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44

Yiu, L. M. Daphne, Andy C. L. Yeung, and Abe P. L. Jong. "Business intelligence systems and operational capability: an empirical analysis of high-tech sectors." Industrial Management & Data Systems 120, no. 6 (May 4, 2020): 1195–215. http://dx.doi.org/10.1108/imds-12-2019-0659.

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PurposeIn this research, we empirically examine the impact of Business Intelligence (BI) systems on operational capability in high-tech sectors. We also seek to understand the contextual factors that facilitate the adoption of BI systems.Design/methodology/approachWe adopt Propensity Score Matching (PSM) and event study methodology, and analyze the financial data for a sample of 144 US firms which adopted BI systems from 2005–2014, and compare them to control firms without BI systems.FindingsWe find that the implementation of BI systems leads to higher operational capability, particularly for large high-tech firms with high technology intensity. We further show that technology intensity and firm size are important contextual factors for firms to reap the benefits of BI systems.Practical implicationsWe demonstrate how benefits from the adoption of BI systems are likely to be strengthened. The benefits of BI systems depend on firms' technology intensity and firm size of high-tech firms. Accessing relevant and timely reports for decision-making is particularly important in the highly dynamic, volatile and competitive high-tech sectors.Originality/valueWe contribute to the literature by providing empirical evidence that the adoption of BI systems can improve firms' operational capability and show that technology intensity and firm size are important contextual factors for firms to reap the benefits of BI systems. We advance the understanding regarding the contextual factors in which firms are more likely to gain additional benefits from their adoptions of BI systems.
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Cummings, Mary, and Alexander Stimpson. "Identifying Critical Contextual Design Cues Through a Machine Learning Approach." AI Magazine 40, no. 4 (December 20, 2019): 28–39. http://dx.doi.org/10.1609/aimag.v40i4.4811.

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Given the rise of autonomous systems in transportation, medical, and manufacturing industries, there is an increasing need to understand how such systems should be designed to promote effective interactions between one or more humans working in and around these systems. Practitioners often have difficulties in conducting costly and time-consuming human-in-the-loop studies, so an analytical strategy that helps them determine whether their designs are capturing their planned intent is needed. A traditional top-down, hypothesis-driven experiment that examined whether external displays mounted on autonomous cars could effectively communicate with pedestrians led to the conclusion that the displays had no effect on safety. However, by first taking a bottom-up, data-driven machine learning approach, those segments of the population that were most affected by the external displays were identified. Then, a hypothesis-driven, within-subjects analysis of variance revealed that an external display mounted on an autonomous car that provided the vehicle’s speed as opposed to commanding a go/no-go decision provided an additional 4 feet of safety for early adopters. One caveat to this approach is that the selection of a specific algorithm can significantly influence the results and more work is needed to determine the sensitivity of this approach with seemingly similar machine learning classification approaches.
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Solberg, Anne H. Schistad. "Flexible nonlinear contextual classification." Pattern Recognition Letters 25, no. 13 (October 2004): 1501–8. http://dx.doi.org/10.1016/j.patrec.2004.06.003.

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47

Al-Fawaeer, Moayyad, and Ayman Wael Alkhatib. "The Effect of Emotional Intelligence of Operational Team Leaders on the Performance of Team Members." Research in World Economy 11, no. 5 (September 5, 2020): 266. http://dx.doi.org/10.5430/rwe.v11n5p266.

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This study is aimed at identifying the effect of emotional intelligence with its dimensions (self-awareness, self-regulation, empathy, motivation, and social skills) on the performance of working teams with its dimensions (task performance, contextual performance, and counterproductive performance) among employees on the operational lines of industrial companies operating in the Jordanian city of Sahab. The analysis is limited to employees in those companies, and the questionnaire is used as a data collection tool, taking a simple random sample to represent the study population. In addition to the analysis of 216 questionnaires, the SPSS program is used as a data analysis tool in the study. The study emphasizes the importance of emotional intelligence dimensions for operational team leaders, especially motivation and social skills dimensions because they have a higher effect on the task performance and contextual performance levels, while all dimensions of emotional intelligence have a negative effect on counterproductive performance for operational team members.
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Scheepers, Caren B., and Camrin Roberts Maher. "Leadership’s Thinking Process with Contextual Intelligence in Executing Diversification Strategy." Journal of Economics and Behavioral Studies 11, no. 1(J) (March 10, 2019): 73–89. http://dx.doi.org/10.22610/jebs.v11i1(j).2750.

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Abstract: Diversification is a popular strategy for growth in response to a volatile economy. Current research, however, devotes little attention to the leadership required to ensure successful diversification, except for theoretical contributions on leaders’ thinking processes from scholars within the strategy discipline. This study thus conducted fieldwork in South African organisations to explore empirically how senior leaders’ thinking processes, demonstrating contextual intelligence, contributing to successful diversification. A qualitative study was conducted by collecting data through semi-structured interviews from 15 executives with an average of 21 years’ experience in senior management roles, who had been involved in diversification in South Africa. A critical incident interview technique was used, and interviewees offered examples of how they changed their way of thinking in creating an environment for successful diversification. The analysis revealed that continuous change was required to successfully implement a diversification strategy. Leaders demonstrated specific thinking processes, for example: being intently aware of their context, they filtered and compared this information to their schema or preconceived cognitive representations. In case of a mismatch, they changed their way of thinking; and directed contextual information to challenge others’ current way of thinking. Surprising findings included leaders’ sensing other’s emotions and appealing to these through storytelling to elicit support for their diversification. Diversification requires organisations to invest in developing the agility and global perspective of leadership to increase awareness of trends in their context, their own biases and to shift their mindsets as well as purposefully challenging other’s thinking.
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Abirami., M. "ACCEPTANCE AND COMMITMENT THERAPY – A CONTEXTUAL APPROACH TO ADOLESCENTS SOCIAL EMOTIONAL INTELLIGENCE." International Journal of Advanced Research 5, no. 11 (November 30, 2017): 778–81. http://dx.doi.org/10.21474/ijar01/5830.

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Tagami, Yukihiro, Toru Hotta, Yusuke Tanaka, Shingo Ono, Koji Tsukamoto, and Akira Tajima. "Efficient Retrieval for Contextual Advertising Utilizing Past Click Logs." Transactions of the Japanese Society for Artificial Intelligence 32, no. 6 (2017): A—H52_1–10. http://dx.doi.org/10.1527/tjsai.a-h52.

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