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Robert J. Sternberg; Jenna Landy; Jennifer Long – Roeper Review, 2024
Procedures for identifying the gifted often make use of tests of general intelligence, among other assessments. Robert J. Sternberg recently suggested that identification of the gifted should further involve assessment of what he refers to as adaptive intelligence--the ability to adapt to real-world environments. Such a conception of intelligence…
Descriptors: Intelligence, Intelligence Tests, Gifted, Identification
Talamás-Carvajal, Juan Andrés; Ceballos, Héctor G. – Education and Information Technologies, 2023
Early dropout of students is one of the bigger problems that universities face currently. Several machine learning techniques have been used for detecting students at risk of dropout. By using sociodemographic data and qualifications of the previous level, the accuracy of these predictive models is good enough for implementing retention programs.…
Descriptors: College Students, Dropout Prevention, At Risk Students, Identification
Pfeiffer, Karin A.; Lisee, Caroline; Westgate, Bradford S.; Kalfsbeek, Cheyenne; Kuenze, Christopher; Bell, David; Cadmus-Bertram, Lisa; Montoye, Alexander H.K. – Measurement in Physical Education and Exercise Science, 2023
A universal approach to characterizing sport-related physical activity (PA) types in sport settings does not yet exist. Young adults (n = 30), 19-33 years, engaged in a 15-min activity session, performing warm-ups, 3-on-3 soccer, and 3-on-3 basketball. Videos were recorded and manually coded as criterion PA types (walking, running, jumping, rapid…
Descriptors: Athletics, Physical Activity Level, Barriers, Measurement Equipment
Simonton, Dean Keith – Gifted Child Quarterly, 2020
With just one exception, all of the volumes in Terman's Genetic Studies of Genius report the results of a longitudinal study of more than a thousand intellectually gifted children. That single exception is Volume II, Cox's single-authored "The Early Mental Traits of Three Hundred Geniuses," which instead was a retrospective study of 301…
Descriptors: Gifted, Individual Characteristics, Intelligence Quotient, History
Werede Tareke Gebregergis; Furtuna Beraki; Mulubrhan Michael; Munira Ahmedin; Nahom Debesay; Tsega Atoshm; Wizdan Tekleberhan; Karolina Eszter Kovacs; Csilla Csukonyi – Hungarian Educational Research Journal, 2025
The study sought to explore the levels of emotional intelligence and academic engagement among college students, which has not been extensively represented in the existing literature within the Eritrean higher educational context. The study comprised a sample of 119 senior Asmara College of Education students selected through the convenience…
Descriptors: Foreign Countries, Learner Engagement, Multiple Intelligences, Correlation
Li, Maximilian Xiling; Nadj, Mario; Maedche, Alexander; Ifenthaler, Dirk; Wöhler, Johannes – Technology, Knowledge and Learning, 2022
With the advent of physiological computing systems, new avenues are emerging for the field of learning analytics related to the potential integration of physiological data. To this end, we developed a physiological computing infrastructure to collect physiological data, surveys, and browsing behavior data to capture students' learning journey in…
Descriptors: Physiology, Computation, Artificial Intelligence, Psychological Patterns
Kate E. Walton – ACT, Inc., 2023
Mosaic™ by ACT® Social Emotional Skills Assessment (hereafter called Mosaic) measures five key social and emotional (SE) skills: Sustaining Effort, Getting Along with Others, Maintaining Composure, Keeping an Open Mind, and Social Connection. This assessment includes three distinct item types--Likert, situational judgment test, and forced…
Descriptors: Interpersonal Competence, Emotional Intelligence, Likert Scales, Situational Tests
Peter Pavlis – Online Submission, 2025
This quantitative, quasi-experimental study aimed to propose research-based AI constructivist learning activities by measuring students' self-perceptions of their critical thinking using the Motivational Strategies and Learning Questionnaire (MSLQ). The study utilized the input-experience-output framework to evaluate how these learning pursuits…
Descriptors: Critical Thinking, Artificial Intelligence, Constructivism (Learning), Learning Activities
Mustafa Taktak; Görsev Bafrali – International Journal of Technology in Education, 2025
This study aimed to develop a valid and reliable scale to measure individuals' and organizations' attitudes toward the use of ChatGPT, emphasizing the necessity for organizations to adapt to rapidly evolving information and technology environments. The methodology consisted of three stages. In the first stage, a 13-item draft scale was…
Descriptors: Artificial Intelligence, Technology Uses in Education, Factor Analysis, Validity
Jan Delcker; Joana Heil; Dirk Ifenthaler – Educational Technology Research and Development, 2025
Artificial intelligence (AI) competence in education is a set of skills that enable teachers to ethically and responsibly develop, apply, and evaluate AI for learning and teaching processes. While AI competence becomes a key competence for teachers, current research on the acceptance and use of AI in classroom practice with a specific focus on the…
Descriptors: Artificial Intelligence, Technological Literacy, Pedagogical Content Knowledge, Career and Technical Education Schools
Ronald Soong; Katelyn Downey; Arvin Moser; Pablo Monje; Amy Jenne; Rajshree Ghosh Biswas; Monica Bastawrous; Rudraksha Majumdar; Daniel Henryk Lysak; Antonio Adamo; Benjamin Goerling; Venita Decker; Falko Busse; Santiago Dominguez; Effiette Sauer; Svetlana Mikhaylichenko; Vivienne Luk; Andre´ J. Simpson – Journal of Chemical Education, 2022
The recent popularity of benchtop (BT) NMR systems has prompted its applications in undergraduate laboratories around the world. Owing to their low maintenance cost, due to the lack of a superconducting magnetic core, and simple operation, these BT NMR systems can fulfill many of the learning objectives outlined in the undergraduate organic…
Descriptors: Undergraduate Study, College Science, Science Laboratories, Computer Assisted Instruction
Wiedbusch, Megan; Lester, James; Azevedo, Roger – Metacognition and Learning, 2023
Pedagogical agents have been designed to support the significant challenges that learners face when self-regulating in advanced learning environments. Evidence suggests differences in learners' prior skills and abilities, in conjunction with excessive didactic support, can cause overreliance on these external aids, which in turn prevents deeper…
Descriptors: Measurement Techniques, Metacognition, Learning Processes, Nonverbal Communication
Chia-Min Ho – ProQuest LLC, 2021
Empathy is a consistent predictor of positive counseling outcome. As counselor educators attempted to teach and evaluate CITs' empathy competence, various conceptualizations and measurements emerged. Thus, the purpose of this study was to validate a proposed theoretical model and developed a measure based on the model. One hundred and forty-eight…
Descriptors: Counselor Characteristics, Counselor Educators, Counselor Training, Empathy
Khurshid, M. Anwar; Majoka, Muhammad Iqbal; Khan, Muhammad Saeed – Pakistan Journal of Distance and Online Learning, 2018
Emotional intelligence skills are the driving force for university graduates to be developed holistically. Usually the aspects of psychomotor and effective domain, especially emotional intelligence seems to be less focused on the curriculum at this stage. This study was conducted to explore the effect of prevailing curricular activities on the…
Descriptors: Emotional Intelligence, Psychomotor Skills, College Students, Teaching Methods
Feher, Anita; Smith, Martin M.; Saklofske, Donald H.; Plouffe, Rachel A.; Wilson, Claire A.; Sherry, Simon B. – Journal of Psychoeducational Assessment, 2020
The Big Three Perfectionism Scale (BTPS) is a 45-item self-report measure of perfectionism with three overarching factors: rigid, self-critical, and narcissistic perfectionism. Our objective was to create a brief version of the BTPS, the Big Three Perfectionism Scale--Short Form (BTPS-SF). Sixteen items were selected, and confirmatory factor…
Descriptors: Personality Measures, Personality Traits, Test Construction, Measurement Techniques
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