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Tian Li; Gaomin Sun; Xinlin Zhou; Tengfei Wang – Educational Psychology, 2023
The close relationship between working memory and maths problem solving is generally accepted, but the specifics of how working memory and its subcomponents contribute to maths problem solving remain poorly understood. Tests of working memory, maths problem problem solving, calculation, and intelligence were administered to 246 university…
Descriptors: Mathematics, Short Term Memory, Problem Solving, Computation
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Senanur Ebil; Seher Merve Erus – International Online Journal of Primary Education, 2023
This research aims to determine to what extent temperament and parent-child relationship predict the prosocial behaviors of 60-72-month-old children. The study group of the research consists of 313 mothers and 126 fathers. Data analyzes were carried out separately in mother and father groups. "Personal Information Form", "Child…
Descriptors: Preschool Children, Parents, Parent Child Relationship, Prosocial Behavior
Hahn, Lisa M. – ProQuest LLC, 2023
In the post-COVID-19 higher education landscape, administrators must question the legacy of their programs and methods to rise up and meet not only the technological integrations that are a part of educational infrastructures but the demands of the profession moving it beyond the twenty-first century. Since the twentieth-century, first-year…
Descriptors: Intervention, Grades (Scholastic), First Year Seminars, Teacher Characteristics
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Paterson, Kevin; Guerrero, Adam – Research in Higher Education Journal, 2023
Data from a moderately-selective state university in the Midwest is used to cross-examine the most appropriate data analytical techniques for predicting versus explaining college student persistence decisions. The current research provides an overview of the relative benefits of models specializing in prediction versus explanation with particular…
Descriptors: Prediction, Data Analysis, College Students, School Holding Power
Kelli Bird – Association for Institutional Research, 2023
Colleges are increasingly turning to predictive analytics to identify "at-risk" students in order to target additional supports. While recent research demonstrates that the types of prediction models in use are reasonably accurate at identifying students who will eventually succeed or not, there are several other considerations for the…
Descriptors: Prediction, Data Analysis, Artificial Intelligence, Identification
Daniel Pettersson; Andreas Nordin – Routledge Research in Education Policy and Politics, 2023
This volume centres the notion of "chance" in education as a key concept in contemporary education -- relating to aspects like accountability, datafication, or international large-scale assessments -- and discusses the impact that the historical desire to "tame" this notion has had on present-day educational policy and…
Descriptors: Accountability, Data Use, Educational Assessment, Educational Policy
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Francesco Pupillo; Javier Ortiz-Tudela; Rasmus Bruckner; Yee Lee Shing – npj Science of Learning, 2023
Expectations can lead to prediction errors of varying degrees depending on the extent to which the information encountered in the environment conforms with prior knowledge. While there is strong evidence on the computationally specific effects of such prediction errors on learning, relatively less evidence is available regarding their effects on…
Descriptors: Prediction, Error Patterns, Memory, Cognitive Processes
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Hao, Jia; Gan, Jianhou; Zhu, Luyu – Education and Information Technologies, 2022
In order to analyze the non-linear and uncertain relationships among the student-related features, curriculum-related features as well as the environment-related features, and then quantify the corresponding impacts on students' final MOOC performance in a valid way, we first construct a Students' performance Prediction Bayesian Network (SPBN) via…
Descriptors: Online Courses, Academic Achievement, Prediction, Student Improvement
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Adams, William; Sonntag, Matthew D. – Journal of Chemical Education, 2022
Electrophilic aromatic substitution (EAS) represents an important class of reactions taught in the undergraduate organic chemistry curriculum. The EAS reaction of benzene and its substituted derivatives is generally described as proceeding through a carbocation (arenium cation) intermediate, and the regiochemistry of the product is heavily…
Descriptors: Undergraduate Students, Science Activities, Computation, Prediction
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Verschuere, Bruno; Bogaard, Glynis; Meijer, Ewout – Applied Cognitive Psychology, 2021
The Verifiability Approach predicts that truth tellers will include details that can be verified by the interviewer, whereas liars will refrain from providing such details. A meta-analysis revealed that truth tellers indeed provided more verifiable details (k = 28, d = 0.49, 95% CI [0.25; 0.74], BF[subscript 10] = 93.28), and a higher proportion…
Descriptors: Deception, Ethics, Credibility, Incentives
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Matsumoto, David; Hwang, Hyisung C. – Applied Cognitive Psychology, 2021
Research on investigative interviewing has highlighted the role of rapport in nonconfrontational, evidence-based interviewing procedures, but questions remain about the nature and function of rapport in such interviews. Across three samples drawn from multiple previous studies involving similar methodologies, we addressed four issues: a potential…
Descriptors: Interpersonal Communication, Interpersonal Relationship, Interviews, Prediction
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Hongli Yang; Jingjing Xiang – Psychology in the Schools, 2025
The relationship between peer support and academic engagement has been widely explored. However, scarce research examined this relationship for college students, and little was known about the underlying mechanism under this relationship. This study aimed to examine the effect of peer support on academic via the mediation of academic motivation…
Descriptors: Peer Relationship, Academic Achievement, Student Motivation, Measurement
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Helen Hendry; Eleonora Teszenyi; Lucy Rodriguez-Leon; Mary-Louise Maynes; Jane Dorrian; Tracey Edwards – European Early Childhood Education Research Journal, 2025
Research in early childhood settings requires careful consideration of the impact on all children in the setting, whether participants or non-participants, and evolving ethical approaches in response to children's needs. However, flexible approaches and, 'in the moment', ethical adaptations are not routinely reported as part of early childhood…
Descriptors: Ethics, Prediction, Educational Research, Early Childhood Education
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David Wilkins; Melissa Meindl – Child Care in Practice, 2025
Across the UK, child protection social workers are routinely called upon to assess the likelihood of future significant harm to children. Yet making consistently accurate judgements about what may or may not happen in future can be a difficult task. In a previous study, we tested social workers' abilities (n = 283) to forecast the likelihood of…
Descriptors: Caseworkers, Social Work, Prediction, Futures (of Society)
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Shan Li; Xiaoshan Huang; Tingting Wang; Juan Zheng; Susanne P. Lajoie – Journal of Computing in Higher Education, 2025
Coding think-aloud transcripts is time-consuming and labor-intensive. In this study, we examined the feasibility of predicting students' reasoning activities based on their think-aloud transcripts by leveraging the affordances of text mining and machine learning techniques. We collected the think-aloud data of 34 medical students as they diagnosed…
Descriptors: Information Retrieval, Artificial Intelligence, Prediction, Abstract Reasoning
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