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Hilliard, Airlie; Kazim, Emre; Bitsakis, Theodoros; Leutner, Franziska – Journal of Intelligence, 2022
Selection methods are commonly used in talent acquisition to predict future job performance and to find the best candidates, but questionnaire-based assessments can be lengthy and lead to candidate fatigue and poor engagement, affecting completion rates and producing poor data. Gamification can mitigate some of these issues through greater…
Descriptors: Personality Measures, Personality Traits, Gamification, Imagery
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Al-Jundi, Khalid; Al-Taher, Mohammad Anwar – European Journal of Psychology and Educational Research, 2022
The present study aims at identifying the relationship between social competence and the level of emotional intelligence among teachers of resource rooms for learning disabilities in Amman. The study population consisted of various educational directorates within the capital Amman governorate. They were 212 teachers -- 31 males and 181 females.…
Descriptors: Foreign Countries, Special Education Teachers, Learning Disabilities, Resource Room Programs
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Lechner, Clemens M.; Knopf, Thomas; Napolitano, Christopher M.; Rammstedt, Beatrice; Roberts, Brent W.; Soto, Christopher J.; Spengler, Marion – Journal of Intelligence, 2022
Social, emotional, and behavioral (SEB) skills comprise a broad set of abilities that are essential for building and maintaining relationships, regulating emotions, selecting and pursuing goals, or exploring novel stimuli. Toward an improved SEB skill assessment, Soto and colleagues recently introduced the Behavioral, Emotional, and Social Skills…
Descriptors: Interpersonal Competence, Personality Traits, Measures (Individuals), Psychometrics
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Widodo, Widodo; Gustari, Irvandi; Chandrawaty, Chandrawaty – Journal of Intelligence, 2022
Teachers' professional competence has become a popular issue since the COVID-19 pandemic. Therefore, this study investigates teachers' professional competence, in terms of emotional intelligence (EI), adversity quotient (AQ), and organizational citizenship behavior (OCB), when teachers need to deal with abnormal situations, such as the COVID-19…
Descriptors: Foreign Countries, Teacher Competencies, Emotional Intelligence, Resilience (Psychology)
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Pardo-Ballester, Cristina – Foreign Language Annals, 2022
This case study examines an online introductory Spanish-English translation course focused on learning Spanish through machine translation. Fifty-three Spanish learners were guided by their teacher to rethink, reflect, and interpret what Google Translate offered. Quantitative and qualitative analyses of learners' reports and teacher feedback…
Descriptors: Translation, Teaching Methods, Online Courses, Introductory Courses
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Downes, Stephen – Asian Journal of Distance Education, 2022
Connectivism is the thesis that knowledge is constituted of the sets of connections between entities, such that a change in one entity may result in a change in the other entity, and that learning is the growth, development, modification or strengthening of those connections. This paper presents an overview of connectivism, offering a connectivist…
Descriptors: Learning Theories, Social Networks, Learning Processes, Artificial Intelligence
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Selwyn, Neil – European Journal of Education, 2022
In light of fast-growing popular, political and professional discourses around AI in education, this article outlines five broad areas of contention that merit closer attention in future discussion and decision-making. These include: (1) taking care to focus on issues relating to 'actually existing' AI rather than the overselling of speculative AI…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Futures (of Society)
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Schmucker, Robin; Wang, Jingbo; Hu, Shijia; Mitchell, Tom M. – Journal of Educational Data Mining, 2022
We consider the problem of assessing the changing performance levels of individual students as they go through online courses. This student performance modeling problem is a critical step for building adaptive online teaching systems. Specifically, we conduct a study of how to utilize various types and large amounts of log data from earlier…
Descriptors: Academic Achievement, Electronic Learning, Artificial Intelligence, Predictor Variables
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Flanigan, Abraham E.; Peteranetz, Markeya S.; Shell, Duane F.; Soh, Leen-Kiat – ACM Transactions on Computing Education, 2022
Two studies investigated change in computer science (CS) students' implicit intelligence beliefs. Across both studies, we found that the strength of incremental and entity beliefs changed across time. In Study 1, we found that incremental beliefs decreased and entity beliefs increased across the semester. Change in implicit intelligence beliefs…
Descriptors: Attitude Change, Computer Science Education, Student Attitudes, Intelligence
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Walter, Ofra; Routray, Surekha – College Student Journal, 2022
Attending university for the first time can be a stressful experience for young Indian students leaving home for the first time. They must cope with academic and social demands, which can affect their subjective well-being. In Indian culture, people view 'body-mind' as being heredity, which might help to cope and enhance SWB. The present study was…
Descriptors: College Freshmen, Psychological Patterns, Well Being, Self Concept
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Xu, Weiqi; Ouyang, Fan – International Journal of STEM Education, 2022
The application of artificial intelligence (AI) in STEM education (AI-STEM), as an emerging field, is confronted with a challenge of integrating diverse AI techniques and complex educational elements to meet instructional and learning needs. To gain a comprehensive understanding of AI applications in STEM education, this study conducted a…
Descriptors: Technology Uses in Education, Artificial Intelligence, STEM Education, Technology Integration
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Calderon, Orly; Kupferberg, Rachel – Contemporary School Psychology, 2022
Federal law requires that psychoeducational evaluations be comprehensive, and utilize variety of assessment measures that evaluate the child's functioning along academic and cognitive domains as well as life skills outside of the classroom (Wiley, 2014) . Previous research suggests the Thematic Apperception Test (TAT; Harvard University Press,…
Descriptors: Psychological Testing, Projective Measures, Psychoeducational Methods, Children
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Cheng, Xiulan; Zhang, Hui; Cao, Jinjin; Ma, Ying – Early Childhood Education Journal, 2022
Teachers' psychological well-being is linked to their classroom teaching and student development outcomes. Kindergarten teachers are generally subject to psychological stress and burnout, but mindfulness training programs may be a promising way to alleviate these issues. This pilot study used a mixed-methods design to evaluate the feasibility and…
Descriptors: Foreign Countries, Kindergarten, Preschool Teachers, Emotional Intelligence
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Arastoopour Irgens, Golnaz; Adisa, Ibrahim; Bailey, Cinamon; Vega Quesada, Hazel – Educational Technology & Society, 2022
As big data algorithm usage becomes more ubiquitous, it will become critical for all young people, particularly those from historically marginalized populations, to have a deep understanding of data science that empowers them to enact change in their local communities and globally. In this study, we explore the concept of critical machine…
Descriptors: Artificial Intelligence, Children, Algorithms, After School Programs
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Robson, Robby; Ray, Fritz; Hernandez, Mike; Blake-Plock, Shelly; Casey, Cliff; Hoyt, Will; Owens, Kevin; Hoffman, Michael; Goldberg, Benjamin – International Educational Data Mining Society, 2022
The context for this paper is the "Synthetic Training Environment Experiential Learning -- Readiness" (STEEL-R) project [1], which aims to estimate individual and team competence using data collected from synthetic, semi-synthetic, and live scenario-based training exercises. In STEEL-R, the "Generalized Intelligent Framework for…
Descriptors: Experiential Learning, Mathematical Models, Vignettes, Decision Making
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