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Langenfeld, Thomas; Thomas, Jay; Zhu, Rongchun; Morris, Carrie A. – Journal of Educational Measurement, 2020
An assessment of graphic literacy was developed by articulating and subsequently validating a skills-based cognitive model intended to substantiate the plausibility of score interpretations. Model validation involved use of multiple sources of evidence derived from large-scale field testing and cognitive labs studies. Data from large-scale field…
Descriptors: Evidence, Scores, Eye Movements, Psychometrics
Lichtenstein, Robert – Communique, 2020
Appropriate interpretation of assessment data requires an appreciation that tools are subject to measurement error. School psychologists recognize, at least on an intellectual level, that measures are imperfect--that test scores and other quantitative measures (e.g., rating scales, systematic behavioral observations) are best estimates of…
Descriptors: Error of Measurement, Test Reliability, Pretests Posttests, Standardized Tests
Ryo, Masahiro; Jeschke, Jonathan M.; Rillig, Matthias C.; Heger, Tina – Research Synthesis Methods, 2020
Research synthesis on simple yet general hypotheses and ideas is challenging in scientific disciplines studying highly context-dependent systems such as medical, social, and biological sciences. This study shows that machine learning, equation-free statistical modeling of artificial intelligence, is a promising synthesis tool for discovering novel…
Descriptors: Artificial Intelligence, Case Studies, Biology, Research Reports
Renz, André; Hilbig, Romy – International Journal of Educational Technology in Higher Education, 2020
The ongoing datafication of our social reality has resulted in the emergence of new data-based business models. This development is also reflected in the education market. An increasing number of educational technology (EdTech) companies are entering the traditional education market with data-based teaching and learning solutions, and they are…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Data Collection
Billingsley, Berry; Nassaji, Mehdi – School Science Review, 2020
It is common to use anthropomorphic labels when talking about technology, for example describing some robots and phones as smart, thinking and talking. This article describes a workshop in which students considered ways that words such as 'hearing', 'smart' and 'intelligence' might change in meaning when they are used in the context of robotics…
Descriptors: Robotics, Cognitive Processes, Attribution Theory, Language Usage
McClellan, E. Fletcher – Journal of Political Science Education, 2020
Horror stories abound of colleges closed, faculty laid off, and liberal arts programs terminated. Families express concern about costs, students worry about debt, and society appears skeptical about whether a college education is worth it. In many of these reports, colleges and universities are to blame for their own failures. Academic programs…
Descriptors: Higher Education, Educational Change, Educational Trends, Educational History
Tadjuddin, Nilawati; Robingatin; Meriyati; Hadiati, Eti; El-Fiah, Rifda; Walid, Ahmad; Widayanti – European Journal of Educational Research, 2020
Each child has a different personality type of tendency. Personality type is closely related to emotional intelligence. Through this study, we report the analysis results of the effects of personality type tendencies and the application of learning strategies in controlling the emotional intelligence of elementary school students. This study uses…
Descriptors: Emotional Intelligence, Personality Traits, Extraversion Introversion, Elementary School Students
Eamon Tewell – portal: Libraries and the Academy, 2020
This paper critiques deficit models of education, including popular educational movements such as grit and growth mind-set, and considers how they inform and underlie information literacy efforts, often without librarians' awareness. After a discussion of the problems that deficit thinking poses for students and educators, the author offers two…
Descriptors: Library Instruction, Academic Persistence, Information Literacy, Critical Literacy
Fürst, Guillaume – Journal of Creative Behavior, 2020
This paper introduces a method for the assessment of creativity that relies on creativity tasks, a subjective evaluation procedure, and a planned missing data design that offers a drastic reduction in the overall implementation costs (administration time and scoring procedure). This method was tested on a sample of 149 people, using three…
Descriptors: Creativity, Creativity Tests, Task Analysis, Creative Thinking
Salvi, Carola; Costantini, Giulio; Pace, Adriana; Palmiero, Massimiliano – Journal of Creative Behavior, 2020
The scientific approach to the study of creative problem-solving has shifted from using classic insight problems (e.g., the "Nine-dots" problem), toward sets of problems that have more robust psychometric properties, such as the Remote Associate Test (RAT). Because it is homogeneous, compact, quickly solvable, and easy to score, the RAT…
Descriptors: Foreign Countries, Association Measures, Problem Solving, Psychometrics
Cortes Hidalgo, Andrea P.; Neumann, Alexander; Bakermans-Kranenburg, Marian J.; Jaddoe, Vincent W. V.; Rijlaarsdam, Jolien; Verhulst, Frank C.; White, Tonya; van IJzendoorn, Marinus H.; Tiemeier, Henning – Child Development, 2020
The evidence for negative influences of maternal stress during pregnancy on child cognition remains inconclusive. This study tested the association between maternal prenatal stress and child intelligence in 4,251 mother-child dyads from a multiethnic population-based cohort in the Netherlands. A latent factor of prenatal stress was constructed,…
Descriptors: Prenatal Influences, Mothers, Stress Variables, Pregnancy
Çelik, Okan Burçak – International Journal of Psychology and Educational Studies, 2020
The aim of this study was to investigate of the emotional intelligence levels of university students working voluntarily in Special Olympics. The research was designed with a descriptive survey model, one of the quantitative research methods. A total of 256 university students participated in the study. 135 students voluntarily worked in Special…
Descriptors: College Students, Emotional Intelligence, Measures (Individuals), Volunteers
Lippert, Anne; Shubeck, Keith; Morgan, Brent; Hampton, Andrew; Graesser, Arthur – Grantee Submission, 2020
This article describes designs that use multiple conversational agents within the framework of intelligent tutoring systems. Agents in this case are computerized talking heads or embodied animated avatars that help students learn by performing actions and holding conversations with them in natural language. The earliest conversational intelligent…
Descriptors: Intelligent Tutoring Systems, Man Machine Systems, Natural Language Processing, Educational Technology
Reed, Stephen K. – Oxford University Press, 2020
In "Cognitive Skills You Need for the 21st Century," Stephen Reed discusses a Future of Jobs report that contrasts trending and declining skills required by the workforce in the year 2022. Trending skills include analytical thinking and innovation, active learning strategies, creativity, reasoning, and complex problem solving. Part One…
Descriptors: Thinking Skills, 21st Century Skills, Labor Force Development, Creative Thinking
Zhao, Yijun; Lackaye, Bryan; Dy, Jennifier G.; Brodley, Carla E. – International Educational Data Mining Society, 2020
Accurately predicting which students are best suited for graduate programs is beneficial to both students and colleges. In this paper, we propose a quantitative machine learning approach to predict an applicant's potential performance in the graduate program. Our work is based on a real world dataset consisting of MS in CS [Master of Science in…
Descriptors: Artificial Intelligence, College Admission, Masters Programs, Professional Education

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