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Tsai, Meng-Jung; Wu, An-Hsuan; Chen, Yuping – Applied Cognitive Psychology, 2019
This study aimed to examine how different forms (still pictures vs. animations) of seductive illustrations impact text-and-graphic learning processes, perceptions, and outcomes. An eye-tracking experiment of three groups (static, dynamic, and control) was conducted with 60 college and graduate students while learning with PowerPoint slides about…
Descriptors: Eye Movements, Illustrations, Learning Processes, Animation
Allatt, Gwyneth; Tett, Lyn – Journal of Education Policy, 2019
We draw on theories of policy enactment to explore the ways in which the situated, material and external contexts and professional cultures in adult literacy in the UK have influenced practitioners. Our analysis of the transnational (OECD, EU) and UK external policy contexts found that skills-related education is prioritised, with a focus on…
Descriptors: Neoliberalism, Educational Policy, Literacy Education, Job Skills
O'Brien, Edward J.; Cook, Anne E. – Discourse Processes: A multidisciplinary journal, 2016
Common to all models of reading comprehension is the assumption that a reader's level of comprehension is heavily influenced by their standards of coherence (van den Broek, Risden, & Husbye-Hartman, 1995). Our discussion focuses on a subcomponent of the readers' standards of coherence: the coherence threshold. We situate this discussion within…
Descriptors: Reading Comprehension, Models, Rhetoric, Reading Ability
Marta Isabel Garrido; Chee Leong James Teng; Jeremy Alexander Taylor; Elise Genevieve Rowe; Jason Brett Mattingley – npj Science of Learning, 2016
The ability to learn about regularities in the environment and to make predictions about future events is fundamental for adaptive behaviour. We have previously shown that people can implicitly encode statistical regularities and detect violations therein, as reflected in neuronal responses to unpredictable events that carry a unique prediction…
Descriptors: Brain Hemisphere Functions, Responses, Acoustics, Stimuli
Hullinger, Richard A.; Kruschke, John K.; Todd, Peter M. – Cognitive Science, 2015
Humans and many other species selectively attend to stimuli or stimulus dimensions--but why should an animal constrain information input in this way? To investigate the adaptive functions of attention, we used a genetic algorithm to evolve simple connectionist networks that had to make categorization decisions in a variety of environmental…
Descriptors: Attention, Genetics, Environmental Influences, Simulation
Roberts, Theresa A.; Vadasy, Patricia F.; Sanders, Elizabeth A. – Reading Research Quarterly, 2019
In the study, the authors addressed two areas of inquiry: the influence of enlisting three underlying cognitive learning processes in alphabet learning, and order effects for letter name and letter sound instruction. Alphabet instruction was designed to enlist paired-associate learning (PAL) only, PAL plus orthographic learning, or PAL plus…
Descriptors: Preschool Children, Alphabets, Cognitive Processes, Associative Learning
Bossé, Michael J.; Ringler, Marjorie Campo; Bayaga, Anass; Fountain, Catherine; Young, Erica Slate – International Journal for Mathematics Teaching and Learning, 2018
Research in second language acquisition and the learning of mathematics has matured through long, albeit disconnected, histories. This study examines how theories and models of second language acquisition can be applied to the learning of mathematics and, through this, develops a novel framework defining stages in the learning of mathematics. This…
Descriptors: Second Language Learning, Mathematics Instruction, Teaching Methods, Cognitive Processes
Jason Robert Berckley – ProQuest LLC, 2018
Title: What are the observable correlates of the Aha! moment, and how does this moment relate to moving from surface to deep thinking? Background: The purpose of this study is to provide reliable evidence of the observable correlates of the Aha! moment and what this means for moving from surface to deep thinking. This research can lead to the…
Descriptors: Cognitive Processes, Knowledge Level, Learning Processes, Secondary School Students
Chimuma, Lilian L.; DeLoach Johnson, Iris – Educational Research: Theory and Practice, 2016
This mixed methods study explored the pre and post use of metacognitive problem solving skills of 15 undergraduate students enrolled in a mathematics class in a Midwestern university. Participants' progress in their metacognitive self-talk and group-talk was monitored as they used Pulse® Smartpens to simultaneously capture their writing and spoken…
Descriptors: Mathematics Instruction, Problem Solving, Metacognition, Undergraduate Students
Paul Marshall; Timothy W. Bredy – npj Science of Learning, 2016
A complete understanding of the fundamental mechanisms of learning and memory continues to elude neuroscientists. Although many important discoveries have been made, the question of how memories are encoded and maintained at the molecular level remains. So far, this issue has been framed within the context of one of the most dominant concepts in…
Descriptors: Learning Processes, Memory, Neurosciences, Brain Hemisphere Functions
Courtney Morgan Pollack – ProQuest LLC, 2016
The ability for students to understand numbers and other mathematical symbols is a crucial part of success in mathematics. Accordingly, it is important for researchers to understand the nature of symbolic number processing -- the connections between a symbol or collection of symbols that convey numerical information (e.g., Arabic digits,…
Descriptors: Mathematics Instruction, Symbols (Mathematics), Learning Processes, Meta Analysis
Holquist, Samantha E.; Cetz, Jared; O'Neil, Santiago D.; Smiley, Dana; Taylor, Laney M.; Crowder, Marisa K. – McREL International, 2020
Approximately 40 to 60 percent of America's high school students are chronically disengaged (i.e., inattentive, exert little to no effort, do not complete tasks, and claim to be bored; National Research Council and Institute of Medicine, 2004). Disengagement is so widespread that it has been labeled the "Silent Epidemic" (Bridgeland et…
Descriptors: Learning Processes, Learner Engagement, High School Students, Student Attitudes
Lucas, Lyrica; Helikar, Tomáš; Dauer, Joseph – International Journal of Science Education, 2022
Comprehensive understanding of complex biological systems necessitates the use of computational models because they facilitate visualisation and interrogation of system dynamics and data-driven analysis. Computational model-based (CMB) activities have demonstrated effectiveness in improving students' understanding and their ability to use and…
Descriptors: Cytology, Science Instruction, Teaching Methods, Biology
Zabihi, Reza – Language Learning Journal, 2022
The study reported in this article examined the impact of task type on the ways in which learners resolve grammatical language-related episodes (LREs) and whether the level of engagement affects subsequent language development. Data were collected over a six-week period. Thirty-two Iranian second language (L2) learners were paired up to complete a…
Descriptors: Task Analysis, Second Language Learning, Second Language Instruction, Grammar
Childers, Jane B.; Paik, Jae H.; Flores, Melissa; Lai, Gabrielle; Dolan, Megan – Cognitive Science, 2017
Extending new verbs is important in becoming a productive speaker of a language. Prior results show children have difficulty extending verbs when they have seen events with varied agents. This study further examines the impact of variability on verb learning and asks whether variability interacts with event complexity or differs by language.…
Descriptors: Verbs, Language Research, Learning Processes, Toddlers

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