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Arielle R. Marshall; Daniel R. Mitteer; Brian D. Greer; Catherine B. Kishel – Journal of Applied Behavior Analysis, 2025
Resurgence is the recurrence of target behavior (e.g., challenging behavior) during a worsening of reinforcement conditions (e.g., increases in response effort, decreases in alternative reinforcement). Previous studies have examined the prevalence and magnitude of resurgence during functional communication training implemented with discriminative…
Descriptors: Behavior Patterns, Behavior Problems, Reinforcement, Incidence
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Pamela Sheffler; Cecilia S. Cheung – Journal of Experimental Education, 2024
Parent's beliefs about intelligence can influence children's learning through parenting practices. It is unclear how parents' perceptions of the child's ability may affect these processes. This experimental study explored the joint effects of mothers' growth mindset and perceptions of child competence on their learning involvement. Children (N =…
Descriptors: Mothers, Parent Attitudes, Parent Participation, Behavior Patterns
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Berkan Celik; Kursat Cagiltay – Education and Information Technologies, 2024
MOOC learners come from different backgrounds, and they have various motivations and intentions for taking online courses. This study examines learner intentions with subsequent behaviors and the reasons for the intention-behavior gap in MOOCs. A total of four MOOCs from BilgeIs MOOC Portal was used in this study. This quantitative study with a…
Descriptors: Students, MOOCs, Intention, Student Behavior
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Lena S. Geiger; Torsten Wüstenberg; Zhenxiang Zang; Mirjam Melzer; Stephanie H. Witt; Marcella Rietschel; Markus M. Nöthen; Stefan Herms; Franziska Degenhardt; Andreas Meyer-Lindenberg; Carolin Moessnang – npj Science of Learning, 2024
Procedural learning and automatization have widely been studied in behavioral psychology and typically involves a rapid improvement, followed by a plateau in performance throughout repeated training. More recently, brain imaging studies have implicated frontal-striatal brain circuits in skill learning. However, it is largely unknown whether…
Descriptors: Cognitive Processes, Brain Hemisphere Functions, Short Term Memory, Behavior Patterns
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Sungwoo Um – Journal of Moral Education, 2024
In this paper, I explore the characteristic reason that motivates a virtuously honest person to perform honest actions. I critically examine previous accounts of honesty's characteristic motivating reason, including Christian Miller's pluralistic account, which allows various virtuous motivating reasons to count as honesty's motivation. I then…
Descriptors: Ethics, Moral Values, Behavior Patterns, Teaching Methods
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Noor-i-Kiran Naeem; Zil-e-Fatima Naeem; Asfand Yar Anwar – Discover Education, 2024
This study aimed to determine the trends of smartphone usage and behaviours associated with its use among undergraduate medical students at ABWA Medical College, Pakistan. Conducted from July to December 2023, this cross-sectional survey involved 270 undergraduate medical students, with 264 participants responding, resulting in a 97.7% response…
Descriptors: Foreign Countries, Undergraduate Students, Medical Students, Handheld Devices
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Noah Britt; Jackie Chau; Hong-jin Sun – Cognitive Research: Principles and Implications, 2025
Human attention can be guided by semantic information conveyed by individual objects in the environment. Over time, we learn to allocate attention resources towards stimuli that are behaviourally relevant to ongoing action, leading to attention capture by meaningful peripheral stimuli. A common example includes, while driving, stimuli that imply a…
Descriptors: Context Effect, Spatial Ability, Universities, College Students
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Heidi Taveter; Marina Lepp – Informatics in Education, 2025
Learning programming has become increasingly popular, with learners from diverse backgrounds and experiences requiring different support. Programming-process analysis helps to identify solver types and needs for assistance. The study examined students' behavior patterns in programming among beginners and non-beginners to identify solver types,…
Descriptors: Behavior Patterns, Novices, Expertise, Programming
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Hanqiang Liu; Xiao Chen; Feng Zhao – Education and Information Technologies, 2024
Massive open online courses (MOOCs) have become one of the most popular ways of learning in recent years due to their flexibility and convenience. However, high dropout rate has become a prominent problem that hinders the further development of MOOCs. Therefore, the prediction of student dropouts is the key to further enhance the MOOCs platform.…
Descriptors: MOOCs, Video Technology, Behavior Patterns, Prediction
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Hengtao Tang; Yeye Tang; Miao Dai; Xu Du; Jui-Long Hung; Hao Li – TechTrends: Linking Research and Practice to Improve Learning, 2024
Blended learning, integrating online and in-person components, has been increasingly adopted in higher education to enhance students' learning experience and outcomes. While the advantages of blended learning are well-evidenced, research has primarily focused on the online pre-learning component, neglecting the significance of in-class activities.…
Descriptors: Blended Learning, Behavior Patterns, Learning Processes, Learning
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Jinju Lee; Jongchan Park; Dongsik Kim – Instructional Science: An International Journal of the Learning Sciences, 2024
This study investigates when and how awareness of knowledge gaps (AKG) manifests by observing the problem-solving phase of the educational approach known as problem-solving followed by instruction (PS-I). By comprehensively exploring cognitive and metacognitive process of learners during this phase and categorizing students' judgements of…
Descriptors: Knowledge Level, Problem Solving, Metacognition, Cognitive Ability
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Maria Adriana Neroni; Nathan Crilly; Maria Antonella Brandimonte – Journal of Creative Behavior, 2024
When faced with the need to transform an object, idea, or situation, people have a tendency to favor adding new components rather than removing existing ones. This is called the "additive bias." Previous research, along with historical and anecdotal examples, shows that this bias may significantly reduce problem-solving abilities and…
Descriptors: Association Measures, Associative Learning, Bias, Problem Solving
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Clare Harrop; James Bodfish; Luc Lecavalier; Aaron. R. Dallman; Desiree Jones; Jill Pritchett; Allison Whitten; Brian. A. Boyd – Journal of Autism and Developmental Disorders, 2024
Prior research has demonstrated that cognitive inflexibility is associated with anxiety in autistic individuals. Everyday patterns of behavioral inflexibility (e.g. observable inflexible behavior in the context of the need to change or adapt and that is manifested in real-world everyday settings) is common in autism and can be distinguished from…
Descriptors: Autism Spectrum Disorders, Youth, Anxiety, Adjustment (to Environment)
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Kenny Yu; Wolf Vanpaemel; Francis Tuerlinckx; Jonas Zaman – npj Science of Learning, 2024
Perception and perceptual memory play crucial roles in fear generalization, yet their dynamic interaction remains understudied. This research (N = 80) explored their relationship through a classical differential conditioning experiment. Results revealed that while fear context perception fluctuates over time with a drift effect, perceptual memory…
Descriptors: Generalizability Theory, Generalization, Fear, Learning Processes
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Zijun Yin; Bin Xuan; Chengchi Liu; Jingchao Yi; Xiaoyan Zheng; Mingming Zhang – npj Science of Learning, 2025
Previous studies have insufficiently explored the influence of task and interpersonal interdependence on synchronous cooperation behavior. To address this gap, this study utilized fNIRS hyperscanning technique to investigate the behavioral and neural mechanisms within both friend and stranger dyads engaging in various levels of interdependent…
Descriptors: Task Analysis, Cooperative Learning, Interpersonal Relationship, Brain
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