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Anderson, Daniel; Rowley, Brock; Stegenga, Sondra; Irvin, P. Shawn; Rosenberg, Joshua M. – Educational Measurement: Issues and Practice, 2020
Validity evidence based on test content is critical to meaningful interpretation of test scores. Within high-stakes testing and accountability frameworks, content-related validity evidence is typically gathered via alignment studies, with panels of experts providing qualitative judgments on the degree to which test items align with the…
Descriptors: Content Validity, Artificial Intelligence, Test Items, Vocabulary
Limeri, Lisa B.; Carter, Nathan T.; Choe, Jun; Harper, Hannah G.; Martin, Hannah R.; Benton, Annaleigh; Dolan, Erin L. – International Journal of STEM Education, 2020
Background: The extent to which students view their intelligence as improvable (i.e., their "mindset") influences students' thoughts, behaviors, and ultimately their academic success. Thus, understanding the development of students' mindsets is of great interest to education scholars working to understand and promote student success.…
Descriptors: Undergraduate Students, Student Attitudes, Attitude Change, Intelligence
Lockwood, Adam B.; Farmer, Ryan L. – Psychology in the Schools, 2020
Given significant changes to legislation, practice, research, and instrumentation, the purpose of this study was to examine the course on cognitive assessment in school psychology programs and to describe the (a) structure, (b) instructional strategies, (c) content, and (d) interpretative strategies taught to school psychology graduate students.…
Descriptors: Intelligence Tests, School Psychology, Course Content, Graduate Students
Zhai, Xiaoming; Yin, Yue; Pellegrino, James W.; Haudek, Kevin C.; Shi, Lehong – Studies in Science Education, 2020
Machine learning (ML) is an emergent computerised technology that relies on algorithms built by 'learning' from training data rather than 'instruction', which holds great potential to revolutionise science assessment. This study systematically reviewed 49 articles regarding ML-based science assessment through a triangle framework with technical,…
Descriptors: Science Education, Computer Assisted Testing, Science Tests, Scoring
T. S., Ashwin; Guddeti, Ram Mohana Reddy – Education and Information Technologies, 2020
Predicting the students' emotional and behavioral engagements using computer vision techniques is a challenging task. Though there are several state-of-the-art techniques for analyzing a student's affective states in an e-learning environment (single person's engagement detection in a single image frame), a very few works are available for…
Descriptors: Identification, Psychological Patterns, Affective Behavior, Classroom Environment
Barutchu, Ayla; Fifer, Joanne M.; Shivdasani, Mohit N.; Crewther, Sheila G.; Paolini, Antonio G. – Child Development, 2020
This study assessed the developmental profile of unisensory and multisensory processes, and their contribution to children's intellectual abilities (8- and 11-year olds, N = 38, compared to adults, N = 19) using a simple audiovisual detection task and three incidental associative learning tasks with different sensory signals: visual-verbal with…
Descriptors: Multisensory Learning, Associative Learning, Intelligence Quotient, Cognitive Ability
Aka, Serkan T.; Sarier, Adem – International Education Studies, 2020
For the teaching profession, one of the important types of intelligence is emotional intelligence. Emotional intelligence levels of especially physical education teachers are expected to be high. The aim of this study is to examine emotional intelligence levels of physical education and sports teachers based on various variables. In this research,…
Descriptors: Emotional Intelligence, Physical Education Teachers, Team Sports, Teacher Attitudes
Tangen, Jason M.; Kent, Kirsty M.; Searston, Rachel A. – Cognitive Research: Principles and Implications, 2020
When a fingerprint is located at a crime scene, a human examiner is counted upon to manually compare this print to those stored in a database. Several experiments have now shown that these professional analysts are highly accurate, but not infallible, much like other fields that involve high-stakes decision-making. One method to offset mistakes in…
Descriptors: Crime, Identification, Human Body, Evaluators
Nicula, Bogdan; Perret, Cecile A.; Dascalu, Mihai; McNamara, Danielle S. – Grantee Submission, 2020
Theories of discourse argue that comprehension depends on the coherence of the learner's mental representation. Our aim is to create a reliable automated representation to estimate readers' level of comprehension based on different productions, namely self-explanations and answers to open-ended questions. Previous work relied on Cohesion Network…
Descriptors: Network Analysis, Reading Comprehension, Automation, Artificial Intelligence
Efremov, Aleksandr; Ghosh, Ahana; Singla, Adish – International Educational Data Mining Society, 2020
Intelligent tutoring systems for programming education can support students by providing personalized feedback when a student is stuck in a coding task. We study the problem of designing a hint policy to provide a next-step hint to students from their current partial solution, e.g., which line of code should be edited next. The state of the art…
Descriptors: Intelligent Tutoring Systems, Feedback (Response), Computer Science Education, Artificial Intelligence
Williams, Aeryel – ProQuest LLC, 2020
Alternative Spring Break (ASB) is a college-based travel program in which students spend their traditional spring break vacation traveling to a new domestic or international city to complete a service-learning project such as community restoration in New Orleans after Hurricane Katrina. As a result of participating in Alternative Spring Break,…
Descriptors: Service Learning, African American Students, Females, Black Colleges
Alison L. Travers – ProQuest LLC, 2020
The purpose of this study was to assess the emotional competence of first-year principals and assistant principals. Previous research indicates that emotional intelligence is more significant than cognitive intelligence among successful leaders of organizations. Moreover, awareness of emotional intelligence is an essential factor for effective…
Descriptors: Principals, Assistant Principals, Novices, Emotional Intelligence
Neftali David Watkinson Medina – ProQuest LLC, 2020
Contemporary research in cognitive and neurological sciences confirms that human brains perform object detection and classification by identifying membership to a single class. When observing a scene with various objects, we can quickly point out and answer queries about the object we recognize, without needing to know what the unknown objects…
Descriptors: Classification, Artificial Intelligence, Technology Uses in Education, Educational Technology
Mills-Koonce, W. Roger; Towe-Goodman, Nissa; Swingler, Margaret M.; Willoughby, Michael T. – Developmental Psychology, 2022
This study utilized latent profile analyses to identify unique configurations of children's family-based social experiences during the first 3 years of life and examine differences across profiles with respect to developmental outcomes at 36 and 48 months of age. Seven family process variables were used: maternal emotional functioning, maternal…
Descriptors: Social Experience, Preschool Children, Family Environment, Child Rearing
Boncquet, Michiel; Lavrijsen, Jeroen; Vansteenkiste, Maarten; Verschueren, Karine; Soenens, Bart – Gifted Child Quarterly, 2022
Although it has been hypothesized that gifted students are at risk for adopting a fixed mind-set, research revealed inconsistent results. We aimed to clarify this by differentiating between two operationalizations of giftedness (high cognitive ability and formal identification as gifted) and how these relate to students' beliefs about intelligence…
Descriptors: Academically Gifted, Cognitive Ability, Student Attitudes, Parent Attitudes

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