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Yafit Gabay; Lana Jacob; Atil Mansour; Uri Hertz – npj Science of Learning, 2025
The current study examined how individuals with neurodevelopmental disorders navigate the complexities of learning within multidimensional environments marked by uncertain dimension values and without explicit guidance. Participants engaged in a game-like complex reinforcement learning task in which the stimuli dimension determining reward…
Descriptors: Dyslexia, Attention Deficit Hyperactivity Disorder, Difficulty Level, Reinforcement
Tunga, Yeliz; Cagiltay, Kursat – Education and Information Technologies, 2023
Eye movement modeling examples (EMME) are novel types of video modeling examples that contain additional eye-movement recordings of the model to provide attentional guidance. Increasing demand in using instructional videos and interest in using eye-tracking in education makes EMME an appealing research subject. Hence, this study aims to…
Descriptors: Models, Eye Movements, Video Technology, Attention
Andreea Dutulescu; Stefan Ruseti; Denis Iorga; Mihai Dascalu; Danielle S. McNamara – Grantee Submission, 2024
The process of generating challenging and appropriate distractors for multiple-choice questions is a complex and time-consuming task. Existing methods for an automated generation have limitations in proposing challenging distractors, or they fail to effectively filter out incorrect choices that closely resemble the correct answer, share synonymous…
Descriptors: Multiple Choice Tests, Artificial Intelligence, Attention, Natural Language Processing
Dhatri Pandya; Keyur Rana; Aditi Padhiyar – Education and Information Technologies, 2025
With the advent of closed-circuit television systems (CCTV) in the era of technology, a massive amount of video data is generated daily. CCTV are installed at several educational institutions to monitor students' behavior and ensure their safety. Human activity monitoring is done manually. Abnormal human actions refer to rare or unusual actions in…
Descriptors: Technology Uses in Education, Handheld Devices, Telecommunications, Classroom Environment
Luo, Zhenzhen; Zheng, Chaoyu; Gong, Jun; Chen, Shaolong; Luo, Yong; Yi, Yugen – Education and Information Technologies, 2023
Learning interest affects the way of learning and its process, which is an important factor that affects the learning effect. At present, students' learning interest in a teaching environment is mainly based on a traditional questionnaire or case analysis, which is not conducive for teachers to promptly access students' interest in class to…
Descriptors: Student Interests, Artificial Intelligence, Attention, Psychological Patterns
Duta, Mihaela; Plunkett, Kim – Child Development, 2023
We present a neural network model of referent identification in a visual world task. Inputs are visual representations of item pairs unfolding with sequences of phonemes identifying the target item. The model is trained to output the semantic representation of the target and to suppress the distractor. The training set uses a 200-word lexicon…
Descriptors: Networks, Models, Brain, Child Language
Nika Jurov – ProQuest LLC, 2024
Speech is a complex, redundant and variable signal happening in a noisy and ever changing world. How do listeners navigate these complex auditory scenes and continuously and effortlessly understand most of the speakers around them? Studies show that listeners can quickly adapt to new situations, accents and even to distorted speech. Although prior…
Descriptors: Models, Auditory Perception, Speech Communication, Cognitive Processes
Peterson, Jean; Jen, Enyi – Gifted and Talented International, 2023
The Peterson Proactive Developmental Attention model (PPDA) offers a framework for understanding and addressing social and emotional concerns of high-ability students. This manuscript focuses on the developmental component, with emphasis on academic underachievement, with explanations and guidance for applying the developmental aspect of the PPDA…
Descriptors: Attention, Student Development, Low Achievement, Models
Kim, Young-Suk Grace – Journal of Learning Disabilities, 2022
This article presents the application of the interactive dynamic literacy (IDL) model (Kim, 2020b) toward understanding difficulties in learning to read and write. According to the IDL model, reading and writing are part of communicative acts that draw on largely shared processes and skills as well as unique processes and skills. As such, reading…
Descriptors: Literacy, Models, Reading Skills, Writing Skills
Kim, Young-Suk Grace – Grantee Submission, 2022
This article presents the application of the interactive dynamic literacy (IDL) model (Kim, 2020a) toward understanding difficulties in learning to read and write. According to the IDL model, reading and writing are part of communicative acts that draw on largely shared processes and skills as well as unique processes and skills. As such, reading…
Descriptors: Literacy, Models, Reading Skills, Writing Skills
Redlich, Dennis; Memmert, Daniel; Kreitz, Carina – Applied Cognitive Psychology, 2021
During the past two decades, the interest in investigating the phenomenon of inattentional blindness strongly increased and resulted in a fraying of paradigms investigating this specific failure of awareness. We reviewed 129 full-text articles containing 219 experiments for their design and methods to create awareness for the growing variety of…
Descriptors: Attention Control, Models, Research Methodology, Cognitive Processes
Mary Girgis; Josephine Paparo; Ian Kneebone – Journal of Intellectual & Developmental Disability, 2025
Background: Compared to their typically developing peers, children and adolescents with intellectual disabilities are at an increased risk of developing emotion regulation difficulties, this is especially the case for autistic individuals with intellectual disabilities. To better understand the emotion regulation experiences of children and…
Descriptors: Children, Adolescents, Intellectual Disability, Emotional Response
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
Xiaoxuan Fang; Davy Tsz Kit Ng; Jac Ka Lok Leung; Huixuan Xu – Interactive Learning Environments, 2024
The Attention, Relevance, Confidence, and Satisfaction or ARCS model is an effective motivational model that has been widely accepted by education practitioners. Literature on the ARCS model has focused primarily on aspects of educational settings, research methods, and outcomes. However, few studies have addressed the applications of the ARCS…
Descriptors: Attention, Relevance (Education), Self Esteem, Student Satisfaction
Sabhlok, Aditi; Malanchini, Margherita; Engelhardt, Laura E.; Madole, James; Tucker-Drob, Elliot M.; Harden, Kathryn Paige – Developmental Science, 2022
Attention-Deficit Hyperactivity Disorder (ADHD) is a heterogeneous disorder that is highly impairing. Early, accurate diagnosis maximizes long-term positive outcomes for youth with ADHD. Tests of executive functioning (EF) are potential tools for screening and differential diagnosis of ADHD subtypes. However, previous research has been…
Descriptors: Attention Deficit Hyperactivity Disorder, Executive Function, Children, Adolescents