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Bayazit, Alper; Bayram, Servet; Cumaoglu, Gonca Kizilkaya – World Journal on Educational Technology: Current Issues, 2018
Users sometimes face a common and serious problem called disorientation, which is defined as the feeling of being lost in a web-based environment. It is important to determine the reasons for disorientation in order to make the students navigate more efficiently in these environments. The aim of this study is to investigate the relationship…
Descriptors: Correlation, Cognitive Ability, Difficulty Level, Foreign Countries
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Vie, Jill-Jênn; Popineau, Fabrice; Bruillard, Éric; Bourda, Yolaine – International Journal of Artificial Intelligence in Education, 2018
In large-scale assessments such as the ones encountered in MOOCs, a lot of usage data is available because of the number of learners involved. Newcomers, that just arrive on a MOOC, have various backgrounds in terms of knowledge, but the platform hardly knows anything about them. Therefore, it is crucial to elicit their knowledge fast, in order to…
Descriptors: Automation, Test Construction, Measurement, Online Courses
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Majeski, Robin A.; Stover, Merrily; Valais, Teresa – Adult Learning, 2018
The community of inquiry (COI) model identifies elements which are fundamental to a successful online learning experience, namely, teaching presence, cognitive presence, and social presence. The model has received empirical support as a useful framework for understanding the online learning experience. A limitation of the model is its…
Descriptors: Emotional Response, Inquiry, Electronic Learning, Models
New England Journal of Higher Education, 2018
New England Board of Higher Education's Commission on Higher Education & Employability has thought hard over the past year about the increasing role of artificial intelligence and robotics in the future of life and work. Many others are also waking up to this landscape, which not so long ago seemed like science fiction. Machines have changed…
Descriptors: Artificial Intelligence, Robotics, Decision Making, Moral Values
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Canivez, Gary L.; Dombrowski, Stefan C.; Watkins, Marley W. – Psychology in the Schools, 2018
This study examined the factor structure of the Wechsler Intelligence Scale for Children-Fifth Edition (WISC-V) with four standardization sample age groups (6-8, 9-11, 12-14, 15-16 years) using exploratory factor analysis (EFA), multiple factor extraction criteria, and hierarchical EFA not included in the WISC-V "Technical and Interpretation…
Descriptors: Factor Structure, Children, Intelligence Tests, Age Groups
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Pezzuti, L.; Nacinovich, R.; Oggiano, S.; Bomba, M.; Ferri, R.; La Stella, A.; Rossetti, S.; Orsini, A. – Journal of Intellectual Disability Research, 2018
Background: Individuals with Down syndrome generally show a floor effect on Wechsler Scales that is manifested by flat profiles and with many or all of the weighted scores on the subtests equal to 1. Method: The main aim of the present paper is to use the statistical Hessl method and the extended statistical method of Orsini, Pezzuti and Hulbert…
Descriptors: Intelligence Tests, Children, Down Syndrome, Raw Scores
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McGill, Ryan J.; Canivez, Gary L. – International Journal of School & Educational Psychology, 2018
The present study examined the factor structure of the Wechsler Intelligence Scale for Children-Fourth Edition, Spanish (WISC-IV Spanish, Wechsler, 2005a) with normative sample participants aged 6-16 years (N = 500) using confirmatory factor analytic techniques not reported in the WISC-IV Spanish Manual (Wechsler, 2005b). For the 10 core subtest…
Descriptors: Children, Intelligence Tests, Factor Analysis, Construct Validity
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Pardos, Zachary A.; Dadu, Anant – Journal of Educational Data Mining, 2018
We introduce a model which combines principles from psychometric and connectionist paradigms to allow direct Q-matrix refinement via backpropagation. We call this model dAFM, based on augmentation of the original Additive Factors Model (AFM), whose calculations and constraints we show can be exactly replicated within the framework of neural…
Descriptors: Q Methodology, Psychometrics, Models, Knowledge Level
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Sriram, Rishi – About Campus, 2018
Society can be obsessed with the concept of intelligence, according to the author. Parents want to know if their children are smart. Schools try to detect the intelligence of children so that they can separate them into "gifted and talented" programs on one end of the spectrum and remedial programs on the other. Employers want to know if…
Descriptors: Intelligence, Brain, Memory, Expertise
Cochran, Kelvin J. – ProQuest LLC, 2018
Using a descriptive phenomenological method, this study examined the influence of emotional intelligence on the tenure of senior pastors in the Southern Baptist Convention (SBC). The aim of the study was to seek evidence from the lived experiences of senior pastors with five or more consecutive years of service to determine if high emotional…
Descriptors: Clergy, Christianity, Emotional Intelligence, Phenomenology
Pregler, Debra Garrett – ProQuest LLC, 2018
Identifying gifted students early is important so they may receive adaptations in their learning environment including admittance into gifted programs (Subotnik, Olszweski-Kubilius, & Worrell, 2012). An effective method to increase the likelihood of identifying gifted students is needed (Pfeiffer, 2003). Admission at the elementary level…
Descriptors: Academically Gifted, Talent Identification, Intelligence Tests, Scores
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Montero, Shirly; Arora, Akshit; Kelly, Sean; Milne, Brent; Mozer, Michael – International Educational Data Mining Society, 2018
Personalized learning environments requiring the elicitation of a student's knowledge state have inspired researchers to propose distinct models to understand that knowledge state. Recently, the spotlight has shone on comparisons between traditional, interpretable models such as Bayesian Knowledge Tracing (BKT) and complex, opaque neural network…
Descriptors: Artificial Intelligence, Individualized Instruction, Knowledge Level, Bayesian Statistics
Karen Louise Cross – ProQuest LLC, 2018
Given the increased numbers of students being served by disability services offices at the postsecondary level, a better understanding of how intelligence functions as a protective or risk factor is essential to inform services for adolescents in secondary education. Therefore, this study examined whether intelligence functions as a protective…
Descriptors: Emotional Disturbances, Behavior Disorders, Personality Traits, Adolescents
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Jaeho Jeon – Computer Assisted Language Learning, 2024
Professionals within the field of language learning have predicted that chatbots would provide new opportunities for the teaching and learning of language. Despite the assumed benefits of utilizing chatbots in language classrooms, such as providing interactional chances or helping to create an anxiety-free atmosphere, little is known about…
Descriptors: Computer Assisted Instruction, Artificial Intelligence, Learning Analytics, Computer Software
National Centre for Vocational Education Research (NCVER), 2024
Research messages is a summary of research produced by NCVER each year. This year's compilation includes a range of research activities undertaken during 2023, comprising of research reports, summaries, occasional papers, presentations, webinars, consultancies, submissions, the 32nd 'No Frills' national research conference, and various additions…
Descriptors: Foreign Countries, Vocational Education, Rural Areas, Barriers
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