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Mari, Magali A.; Clément, Fabrice; Paulus, Markus – Developmental Psychology, 2023
The psychological mechanisms that subserve inductions about novel social categories in childhood are hotly debated. While research demonstrated that language, and in particular generic statements, plays a major role in how children learn to attribute properties to social categories, developmental theories propose other mechanisms. One theoretical…
Descriptors: Labeling (of Persons), Classification, Children, Childrens Attitudes
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Yamauchi, Taisei; Flanagan, Brendan; Nakamoto, Ryosuke; Dai, Yiling; Takami, Kyosuke; Ogata, Hiroaki – Smart Learning Environments, 2023
In recent years, smart learning environments have become central to modern education and support students and instructors through tools based on prediction and recommendation models. These methods often use learning material metadata, such as the knowledge contained in an exercise which is usually labeled by domain experts and is costly and…
Descriptors: Mathematics Instruction, Classification, Algorithms, Barriers
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Hillman, Velislava; Bryant, Jeff – Learning, Media and Technology, 2023
This paper addresses families' perceptions of corporate influence in career and technical education (CTE) through market-driven policies that enable data extraction for student profiling and seek to align K-12 education with business-driven needs. Aligning education with business needs can offer early employment, however, accelerating…
Descriptors: Family Attitudes, Corporations, Vocational Education, Data Collection
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Ma, Hua; Huang, Zhuoxuan; Tang, Wensheng; Zhu, Haibin; Zhang, Hongyu; Li, Jingze – IEEE Transactions on Learning Technologies, 2023
To provide intelligent learning guidance for students in e-learning systems, it is necessary to accurately predict their performance in future exams by analyzing score data in past exams. However, existing research has not addressed the uncertain and dynamic features of students' cognitive status, whereas these features are essential for improving…
Descriptors: Prediction, Student Evaluation, Performance, Tests
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Imhof, Christof; Comsa, Ioan-Sorin; Hlosta, Martin; Parsaeifard, Behnam; Moser, Ivan; Bergamin, Per – IEEE Transactions on Learning Technologies, 2023
Procrastination, the irrational delay of tasks, is a common occurrence in online learning. Potential negative consequences include a higher risk of drop-outs, increased stress, and reduced mood. Due to the rise of learning management systems (LMS) and learning analytics (LA), indicators of such behavior can be detected, enabling predictions of…
Descriptors: Prediction, Time Management, Electronic Learning, Artificial Intelligence
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Meyer, Marlene; van Schaik, Johanna E.; Poli, Francesco; Hunnius, Sabine – Developmental Science, 2023
When teaching infants new actions, parents tend to modify their movements. Infants prefer these infant-directed actions (IDAs) over adult-directed actions and learn well from them. Yet, it remains unclear "how" parents' action modulations capture infants' attention. Typically, making movements larger than usual is thought to draw…
Descriptors: Infants, Attention Control, Prediction, Brain Hemisphere Functions
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Sackstein, Suzanne; Matthee, Machdel; Weilbach, Lizette – Education and Information Technologies, 2023
Research that employs theory provides a framework and structure in which complex phenomenon, can be understood. While many theories have been developed to study people's technology usage, the plurality of perspectives offered are complex to navigate due to the diverse range of problems and topics addressed and the varied theoretical foundations…
Descriptors: Educational Theories, Models, Technology Uses in Education, Hermeneutics
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Dignum, Frank – International Journal of Social Research Methodology, 2023
The general feeling is that no predictions can be made based on agent-based social simulations. The outcomes of social simulations are based on the behaviors of individuals and their interactions. Behavioral models are always incomplete and often, also incorrect with respect to real behavior and thus the outcomes of agent-based social simulations…
Descriptors: Prediction, Predictive Validity, Educational Policy, Policy Formation
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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
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Kangas, Nathan M.; Kumar, V. Krishna; Moore, Betsy J.; Flickinger, Christopher A.; Barnett, Jennifer L. – Journal of Leadership Education, 2023
The purpose of the study was to construct a Leadership Mindset Scale (LMS) and to assess its reliability and construct validity. Participants were 100 employees in a variety of leadership and non-leadership positions at various organizations in three states. An item and factor analysis on the 13 LMS items led to a scale with 11 items (Cronbach…
Descriptors: Leadership, Test Construction, Test Validity, Test Reliability
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Lee, Silvia Wen-Yu; Tu, Hsing-Ying; Chen, Guang-Lin; Lin, Hung-Ming – International Journal of STEM Education, 2023
Background: There exist shared competencies between computational thinking (CT) and mathematics, and these two domains also mutually benefit from various teaching approaches. However, the linkages between mathematics and computational thinking lack robust empirical support, particularly from student-centered learning perspectives. Our study aimed…
Descriptors: Grade 8, Middle School Students, High School Students, Mathematics Education
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Nooshin Khobzi Rotondi; David Rudoler; William Hunter; Olayinka Sanusi; Chris Collier; Michael Anthony Rotondi – Statistics Education Research Journal, 2023
This article reports on an evaluation the effectiveness of e-mailed grade "nudges" on students' performance and engagement in an introductory statistics course for undergraduate health science students. In 2020-2021, 358 students were randomized to an e-mail (n = 178) or no e-mail (n = 180) group. The intervention e-mail contained…
Descriptors: Introductory Courses, Statistics Education, Grades (Scholastic), Learner Engagement
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Yongliang Wang; Ziwen Pan – SAGE Open, 2023
Teaching is deemed a taxing enterprise, especially as far as higher education is concerned. As a result, much research attention has been showered upon exploring the correlates of engagement for instructors. To contribute to this research direction, the present researchers carried out this survey to test a model of work engagement in a Chinese…
Descriptors: Foreign Countries, English (Second Language), Language Teachers, Self Efficacy
Martin, Dwight D. – ProQuest LLC, 2023
The purpose of this study was to assess the level of student socially responsible leadership behavior (SRLB) within one urban Historically Black College/University (HBCU) through the lens of the "Social Change Model" of leadership development of college students. A secondary purpose of the study was to investigate the influence of…
Descriptors: Black Colleges, Student Characteristics, Student Experience, Influences
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Estrella, Soledad; Méndez-Reina, Maritza; Vidal-Szabó, Pedro – Statistics Education Research Journal, 2023
Recent research suggests the benefits of supporting a progressive understanding of concepts of inference prior to the teaching of procedures and formal calculations through the study of informal statistical inference (ISI). To contribute to the growing knowledge about the early learning and teaching of statistics, particularly regarding the…
Descriptors: Grade 3, Elementary School Students, Learning Trajectories, Statistics Education
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