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Anneke Terneusen; Conny Quaedflieg; Caroline van Heugten; Rudolf Ponds; Ieke Winkens – Metacognition and Learning, 2024
Metacognition is important for successful goal-directed behavior. It consists of two main elements: metacognitive knowledge and online awareness. Online awareness consists of monitoring and self-regulation. Metacognitive sensitivity is the extent to which someone can accurately distinguish their own correct from incorrect responses and is an…
Descriptors: Metacognition, Measures (Individuals), Decision Making, Correlation
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Fabian Tomaschek; Michael Ramscar; Jessie S. Nixon – Cognitive Science, 2024
Sequence learning is fundamental to a wide range of cognitive functions. Explaining how sequences--and the relations between the elements they comprise--are learned is a fundamental challenge to cognitive science. However, although hundreds of articles addressing this question are published each year, the actual learning mechanisms involved in the…
Descriptors: Sequential Learning, Learning Processes, Serial Learning, Executive Function
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Cong Xie; Shuangfei Zhang; Xinuo Qiao; Ning Hao – npj Science of Learning, 2024
This study investigated whether transcranial direct current stimulation (tDCS) targeting the inferior frontal gyrus (IFG) can alter the thinking process and neural basis of creativity. Participants' performance on the compound remote associates (CRA) task was analyzed considering the semantic features of each trial after receiving different tDCS…
Descriptors: Stimulation, Brain Hemisphere Functions, Semantics, Comparative Analysis
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Ikenna Osakwe; Guanliang Chen; Yizhou Fan; Mladen Rakovic; Shaveen Singh; Lyn Lim; Joep van der Graaf; Johanna Moore; Inge Molenaar; Maria Bannert; Alex Whitelock-Wainwright; Dragan Gaševic – British Journal of Educational Technology, 2024
Self-regulated learning (SRL) is an essential skill to achieve one's learning goals. This is particularly true for online learning environments (OLEs) where the support system is often limited compared to a traditional classroom setting. Likewise, existing research has found that learners often struggle to adapt their behaviour to the…
Descriptors: Metacognition, Learning Strategies, Teaching Methods, Classroom Environment
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Isaac N. Treves; Jonathan Cannon; Eren Shin; Cindy E. Li; Lindsay Bungert; Amanda O'Brien; Annie Cardinaux; Pawan Sinha; John D. E. Gabrieli – Journal of Autism and Developmental Disorders, 2024
Some theories have proposed that autistic individuals have difficulty learning predictive relationships. We tested this hypothesis using a serial reaction time task in which participants learned to predict the locations of a repeating sequence of target locations. We conducted a large-sample online study with 61 autistic and 71 neurotypical…
Descriptors: Autism Spectrum Disorders, Adults, Learning Processes, Visual Perception
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Xiuhong Tong; Liyan Yu; S. Hélène Deacon – Review of Educational Research, 2025
Theories of reading comprehension have widely predicted a role for syntactic skills, or the ability to understand and manipulate the structure of a sentence. Yet, these theories are based primarily on English, leaving open the question of whether this remains true across typologically different languages such as English versus Chinese. There are…
Descriptors: Meta Analysis, Reading Comprehension, Kindergarten, Elementary Secondary Education
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Jinnie Shin; Bowen Wang; Wallace N. Pinto Junior; Mark J. Gierl – Large-scale Assessments in Education, 2024
The benefits of incorporating process information in a large-scale assessment with the complex micro-level evidence from the examinees (i.e., process log data) are well documented in the research across large-scale assessments and learning analytics. This study introduces a deep-learning-based approach to predictive modeling of the examinee's…
Descriptors: Prediction, Models, Problem Solving, Performance
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Ji Young Kim; Daniel M. Fienup; Derek D. Reed; Laudan B. Jahromi – Journal of Behavioral Education, 2024
Delay discounting tasks measure the relation between reinforcer delay and efficacy. The present study established the association between delay discounting and classroom behavior and introduced a brief measure quantifying sensitivity to reward delays for school-aged children. Study 1 reanalyzed data collected by Reed and Martens (J Appl Behav Anal…
Descriptors: Rewards, Classroom Techniques, Child Behavior, Correlation
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Haiquan Huang; Hui Cheng; Lina Qian; Yixiong Chen; Peng Zhou – Journal of Psycholinguistic Research, 2024
"Wh"-words have been analysed as existential quantifiers (Chierchia in Logic in grammar: polarity, free choice, and intervention. Oxford University Press, Oxford, 2013; Fox, in Sauerland U, Stateva P (eds) Presupposition and implicature in compositional semantics (Palgrave studies in pragmatics, language and cognition). Palgrave…
Descriptors: Mandarin Chinese, Child Language, Language Acquisition, Prediction
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Ahmet Murat Uzun; Erhan Ünal; Cahit Erdem – Education and Information Technologies, 2025
The widespread adoption of mobile technologies has exacerbated their utilization in educational environments. Multitasking in the classroom is a common practice and deserves further investigation to understand its antecedents. Yet, rare studies have addressed this issue based on the theory of planned behavior framework. To this end, the current…
Descriptors: Time Management, Executive Function, Behavior Theories, College Students
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Xavier Ochoa; Xiaomeng Huang; Yuli Shao – Journal of Learning Analytics, 2025
Generative AI (GenAI) has the potential to revolutionize the analysis of educational data, significantly impacting learning analytics (LA). This study explores the capability of non-experts, including administrators, instructors, and students, to effectively use GenAI for descriptive LA tasks without requiring specialized knowledge in data…
Descriptors: Learning Analytics, Artificial Intelligence, Computer Software, Scores
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Robbert Smit; Rahel Schmid; Nicolas Robin – British Journal of Educational Technology, 2025
Secondary school students (N = 269) participated in a daylong visual programming course held in a stimulating environment for start-up enterprises. The tasks were application-oriented and partly creative. For example, a wearable device with light-emitting diodes, (ie, LEDs) could be applied to a T-shirt and used for optical messages. Our research…
Descriptors: Self Efficacy, Gender Differences, Prediction, Student Attitudes
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Pablo Maceira-Elvira; Traian Popa; Anne-Christine Schmid; Andéol Cadic-Melchior; Henning Müller; Roger Schaer; Leonardo G. Cohen; Friedhelm C. Hummel – npj Science of Learning, 2024
Healthy aging often entails a decline in cognitive and motor functions, affecting independence and quality of life in older adults. Brain stimulation shows potential to enhance these functions, but studies show variable effects. Previous studies have tried to identify responders and non-responders through correlations between behavioral change and…
Descriptors: Age Differences, Neurosciences, Prediction, Brain
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Masato Nakamura; Shota Momma; Hiromu Sakai; Colin Phillips – Cognitive Science, 2024
Comprehenders generate expectations about upcoming lexical items in language processing using various types of contextual information. However, a number of studies have shown that argument roles do not impact neural and behavioral prediction measures. Despite these robust findings, some prior studies have suggested that lexical prediction might be…
Descriptors: Diagnostic Tests, Nouns, Language Processing, Verbs
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Na Gao; Peng Zhou; Stephen Crain – Language Acquisition: A Journal of Developmental Linguistics, 2025
This study investigates how speakers of Mandarin interpret negative sentences with the conjunction ("he" 'and'). Our experiments test three predictions that follow from the proposal that the Mandarin conjunction is a positive polarity item (PPI) for both children and adults. On this account, the Mandarin conjunction should be interpreted…
Descriptors: Mandarin Chinese, Prediction, Form Classes (Languages), Phrase Structure
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