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McFarland, Dennis – Journal of Intelligence, 2020
Network models of the WAIS-IV based on regularized partial correlation matrices have been reported to outperform latent variable models based on uncorrected correlation matrices. The present study sought to compare network and latent variable models using both partial and uncorrected correlation matrices with both types of models. The results show…
Descriptors: Correlation, Matrices, Adults, Intelligence Tests
Bürkner, Paul-Christian – Journal of Intelligence, 2020
Raven's Standard Progressive Matrices (SPM) test and related matrix-based tests are widely applied measures of cognitive ability. Using Bayesian Item Response Theory (IRT) models, I reanalyzed data of an SPM short form proposed by Myszkowski and Storme (2018) and, at the same time, illustrate the application of these models. Results indicate that…
Descriptors: Intelligence Tests, Matrices, Bayesian Statistics, Item Response Theory
Tu, Cuiping; Guo, Jiajun; Hatcher, Ryan C.; Kaufman, James C. – Journal of Creative Behavior, 2020
The Amusement Park Theory of Creativity, which represents both domain-specific and domain-general perspectives of creativity, calls for more research on how individual difference constructs are related to creativity at all ends of the domain-specificity and general spectrum. Toward this goal, this study examined emotional intelligence (using the…
Descriptors: Emotional Intelligence, Creativity, Individual Differences, Creative Thinking
Dasgupta, Ishita; Guo, Demi; Gershman, Samuel J.; Goodman, Noah D. – Cognitive Science, 2020
As modern deep networks become more complex, and get closer to human-like capabilities in certain domains, the question arises as to how the representations and decision rules they learn compare to the ones in humans. In this work, we study representations of sentences in one such artificial system for natural language processing. We first present…
Descriptors: Natural Language Processing, Man Machine Systems, Heuristics, Sentences
Noyes, Keenan; McKay, Robert L.; Neumann, Matthew; Haudek, Kevin C.; Cooper, Melanie M. – Journal of Chemical Education, 2020
Computer-assisted analysis of students' written responses to questions is becoming a possibility due to developments in technology. This could make such constructed response questions more feasible for use in large classrooms where multiple choice assessments are often considered a more practical option. In this study, we use a previously…
Descriptors: Automation, Artificial Intelligence, Computer Uses in Education, Classification
Erdem, Devrim; Keklik, Ibrahim – Education Reform Journal, 2020
The teaching profession in the 21 Century not only requires a rich variety of competences but also necessitates a remarkable capacity for adaptability to changes. Training programs for teachers have increasingly incorporated a focus on the personal growth and improvements of teachers. This growth involves acquiring considerable insight into a…
Descriptors: Preservice Teachers, Profiles, Multiple Intelligences, Student Development
Cole, Brian S.; Lima-Walton, Elia; Brunnert, Kim; Vesey, Winona Burt; Raha, Kaushik – Journal of Applied Testing Technology, 2020
Automatic item generation can rapidly generate large volumes of exam items, but this creates challenges for assembly of exams which aim to include syntactically diverse items. First, we demonstrate a diminishing marginal syntactic return for automatic item generation using a saturation detection approach. This analysis can help users of automatic…
Descriptors: Artificial Intelligence, Automation, Test Construction, Test Items
Krach, Shelley Kathleen; McCreery, Michael P.; Dennis, Lindsay; Guerard, Jessika; Harris, Erica L. – Psychology in the Schools, 2020
Pearson now uses a technology-based testing platform, Q-Interactive, to administer tests previously available in paper versions. The same norms are used for both versions; Pearson's in-house equivalency studies indicated that both versions are equated. The goal of the current study is to independently evaluate equivalency findings. For the current…
Descriptors: Preschool Children, Computer Assisted Testing, Test Items, Scores
Zhang, Lian; Weitlauf, Amy S.; Amat, Ashwaq Zaini; Swanson, Amy; Warren, Zachary E.; Sarkar, Nilanjan – Journal of Autism and Developmental Disorders, 2020
Existing literature regarding social communication outcomes of interventions in autism spectrum disorder (ASD) depends upon human raters, with limited generalizability to real world settings. Technological innovation, particularly virtual reality (VR) and collaborative virtual environments (CVE), could offer a replicable, low cost measurement…
Descriptors: Interpersonal Communication, Cooperation, Autism, Pervasive Developmental Disorders
Sturrock, Alexandra; Marsden, Antonia; Adams, Catherine; Freed, Jenny – Journal of Autism and Developmental Disorders, 2020
Female children with autism spectrum disorder (FwASD) and performance intelligence quotient (PIQ) over 70 were compared with male children with ASD (MwASD) and typically developing (TD) controls (age 8-11 years) using a range of language and pragmatic measures. Functional ability was assessed using clinical observations and parent, teacher and…
Descriptors: Autism, Pervasive Developmental Disorders, Performance Factors, Intelligence Quotient
Kapoor, Hansika; Khan, Azizuddin – Journal of Creative Behavior, 2020
Given the recent emphasis on exploring valence in creative behavior, this study examines negative creativity via a person-situation interactionist perspective. By manipulating goal valence (uses or misuses) and object valence (positive or negative), four conditions of an adapted Divergent Thinking task were used to predict positive and negative…
Descriptors: Creativity, Interaction, Personality Traits, Responses
Prime, Heather; Wade, Mark; Gonzalez, Andrea – Developmental Science, 2020
Language abilities in early childhood show stability over time and play an important role in the development of other cognitive processes. Identifying modifiable environmental risk factors is important to informing prevention and early intervention efforts. Maternal verbal ability has been previously linked to child verbal ability. The current…
Descriptors: Verbal Ability, Mothers, Parent Child Relationship, Intelligence Tests
Nguyen, Nguyen Doan Hanh – English Teaching Forum, 2020
By teaching students about the concept of growth mindset and ways to cultivate it, teachers can enhance students' academic progress. This article offers concrete ideas to help teachers foster the growth mindset explicitly among their students. The lesson is flexible and can be applied to all levels.
Descriptors: Student Development, Intelligence, Locus of Control, Psychoeducational Methods
Altan, Mustafa Zülküf – Online Submission, 2020
The aim of an education system is to raise better generations to bring the desired dreams to come true. New possibilities exist today which are the result of the convergence of the increase in information and the unprecedented capacity to communicate. Therefore, these new possibilities must be seized with creativity and a determination for…
Descriptors: Multiple Intelligences, Inclusion, Student Diversity, Individual Differences
Yang, Xi; Zhou, Guojing; Taub, Michelle; Azevedo, Roger; Chi, Min – International Educational Data Mining Society, 2020
In the learning sciences, heterogeneity among students usually leads to different learning strategies or patterns and may require different types of instructional interventions. Therefore, it is important to investigate student subtyping, which is to group students into subtypes based on their learning patterns. Subtyping from complex student…
Descriptors: Grouping (Instructional Purposes), Learning Strategies, Artificial Intelligence, Learning Analytics

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