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Schroeders, Ulrich; Schmidt, Christoph; Gnambs, Timo – Educational and Psychological Measurement, 2022
Careless responding is a bias in survey responses that disregards the actual item content, constituting a threat to the factor structure, reliability, and validity of psychological measurements. Different approaches have been proposed to detect aberrant responses such as probing questions that directly assess test-taking behavior (e.g., bogus…
Descriptors: Response Style (Tests), Surveys, Artificial Intelligence, Identification
Hsueh, Sung-Lin; Zhou, Bin; Chen, Yu-Lung; Yan, Min-Ren – International Journal of Technology and Design Education, 2022
Cultural and creative products are incredibly diverse that difficult to mass-produce and fail to meet market demands. The unique characteristics and the cultural and sales value of cultural and creative products must be highlighted through the application of multifunctional design. As a scientific approach, the Delphi method and fuzzy logic theory…
Descriptors: Cultural Influences, Design, Creativity, Semantics
Foglia, Victoria; Siddiqui, Hasan; Khan, Zainab; Liang, Stephanie; Rutherford, M. D. – Journal of Autism and Developmental Disorders, 2022
If neurotypical people rely on specialized perceptual mechanisms when perceiving biological motion, then one would not expect an association between task performance and IQ. However, if those with ASD recruit higher order cognitive skills when solving biological motion tasks, performance may be predicted by IQ. In a meta-analysis that included 19…
Descriptors: Autism Spectrum Disorders, Intelligence Quotient, Motion, Visual Perception
Ajmone, Paola Francesca; Allegri, Beatrice; Cereda, Anna; Michelini, Giovanni; Dall'Ara, Francesca; Mariani, Milena; Rigamonti, Claudia; Selicorni, Angelo; Vizziello, Paola; Costantino, Maria Antonella – Journal of Autism and Developmental Disorders, 2022
Behavioural phenotype and autism-related traits of 38 patients affected by Cornelia de Lange syndrome (CdLS) were assessed using a specific neuropsychiatric protocol. Subsequently, we search for possible genotype-phenotype correlations comparing individuals with NIPBL variants and patients with negative molecular results. Firstly results showed a…
Descriptors: Autism Spectrum Disorders, Genetic Disorders, Intelligence Quotient, Adjustment (to Environment)
Ambrose, Don – Gifted Education International, 2022
Theoretical and practical work in gifted education has been dominated by mechanistic precision in measurements designed to select students for gifted programs and guide them through their development. Too much faith in mechanistic precision can become a form of dogmatism that obscures very important, less-measurable dimensions of human ability.…
Descriptors: Gifted Education, Academically Gifted, Talent Identification, Definitions
Sternberg, Robert J. – Journal of Intelligence, 2022
This article discusses the issues of the basic processes underlying intelligence, considering both historical and contemporary perspectives. The attempt to elucidate basic processes has had, at best, mixed success. There are some problems with pinpointing the underlying basic processes of intelligence, both in theory and as tested, such as what…
Descriptors: Intelligence, Individual Differences, Cognitive Processes, Holistic Approach
Basnet, Ram B.; Johnson, Clayton; Doleck, Tenzin – Education and Information Technologies, 2022
The nature of teaching and learning has evolved over the years, especially as technology has evolved. Innovative application of educational analytics has gained momentum. Indeed, predictive analytics have become increasingly salient in education. Considering the prevalence of learner-system interaction data and the potential value of such data, it…
Descriptors: Prediction, Dropouts, Predictive Measurement, Data Collection
Hofer, Gabriela; Mraulak, Valentina; Grinschgl, Sandra; Neubauer, Aljoscha C. – Journal of Intelligence, 2022
People's perceptions of their intelligence correlate only moderately with objective intelligence measures. On average, people overestimate themselves. According to the popular Dunning-Kruger effect, this is particularly true for low performers: across many domains, those in the lowest quartile overestimate their abilities the most. However, recent…
Descriptors: Intelligence, Self Concept, Accuracy, Self Evaluation (Individuals)
Antoniou, Faye; Alkhadim, Ghadah; Mouzaki, Angeliki; Simos, Panagiotis – Journal of Intelligence, 2022
The purpose of the present study was to evaluate the psychometric properties of Raven's colored progressive matrices by estimating the presence of pseudo-guessing and pseudo-carelessness. Participants were 1127 children from ages 5 to 11. Guessing and carelessness were assessed using the lower and upper asymptotes of the 3PL and 4PL item response…
Descriptors: Psychometrics, Intelligence Tests, Item Response Theory, Children
Lewis, Tyson E.; Valk, Steve – Educational Philosophy and Theory, 2022
In this article, the authors utilize the philosophical methodology developed by Michael Hardt and Antonio Negri to formulate a theory of educational realism. The goal is to posit an embodied form of education that emerges from within the movements of the multitude. The connection between multitudinous movement and education is the concept of…
Descriptors: Dance, Educational Philosophy, Teaching Methods, Correlation
Collier, Zachary K.; Leite, Walter L. – Journal of Experimental Education, 2022
Artificial neural networks (NN) can help researchers estimate propensity scores for quasi-experimental estimation of treatment effects because they can automatically detect complex interactions involving many covariates. However, NN is difficult to implement due to the complexity of choosing an algorithm for various treatment levels and monitoring…
Descriptors: Artificial Intelligence, Mentors, Beginning Teachers, Teacher Persistence
Siren, Anni; Tzerpos, Vassilios – IEEE Transactions on Learning Technologies, 2022
Learning paths are curated sequences of resources organized in a way that a learner has all the prerequisite knowledge needed to achieve their learning goals. In this article, we systematically map the techniques and algorithms that are needed to create such learning paths automatically. We focus on open educational resources (OER), though a…
Descriptors: Open Educational Resources, Artificial Intelligence, Instructional Materials, Educational Technology
Hussain, Asif; Khan, Muzammil; Ullah, Kifayat – Education and Information Technologies, 2022
Educational institutions are creating a considerable amount of data regarding students, faculty and related organs. This data is an essential asset for academic institutions as it has valuable insights, knowledge and intelligence for the policymakers. Students are the fundamental entities and primary source of data creation in any educational…
Descriptors: Data Analysis, Artificial Intelligence, Prediction, Academic Achievement
Frisby, Joshua C. – ProQuest LLC, 2022
Higher education institutions adopt conversational agents, or chatbots, to perform and automate certain business functions. While chatbots exist to support Enrollment Services, Financial Aid, and other departments within an institution, Institutional Research lacks options. Institutional Research supports higher education institutions by providing…
Descriptors: Institutional Research, Artificial Intelligence, Higher Education, State Universities
Geisinger, Kurt F. – Applied Measurement in Education, 2019
This brief article introduces the topic of intelligence as highly appropriate for educational measurement professionals. It describes some of the uses of intelligence tests both historically and currently. It argues why knowledge of intelligence theory and intelligence testing is important for educational measurement professionals. The articles…
Descriptors: Intelligence Tests, Intelligence, Models, Educational Assessment

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