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Brezack, Natalie; Radovanovic, Mia; Woodward, Amanda L. – Grantee Submission, 2021
Children learn to perform actions on artifacts in their environments from infancy, but the ways caregivers support this learning during everyday interactions are relatively unexplored. This study investigated how naturalistic caregiver-child teaching interactions promoted conventional action learning in toddlers. Caregivers of 32 24- to…
Descriptors: Toddlers, Learning Processes, Interaction, Caregiver Child Relationship
Eglington, Luke G.; Pavlik, Philip I., Jr. – Grantee Submission, 2022
An important component of many Adaptive Instructional Systems (AIS) is a 'Learner Model' intended to track student learning and predict future performance. Predictions from learner models are frequently used in combination with mastery criterion decision rules to make pedagogical decisions. Important aspects of learner models, such as learning…
Descriptors: Computer Assisted Instruction, Intelligent Tutoring Systems, Learning Processes, Individual Differences
Doumas, Leonidas A. A.; Morrison, Robert G.; Richland, Lindsey E. – Grantee Submission, 2018
Children's cognitive control and knowledge at school entry predict growth rates in analogical reasoning skill over time; however, the mechanisms by which these factors interact and impact learning are unclear. We propose that inhibitory control is critical for developing both the relational representations necessary to reason and the ability to…
Descriptors: Logical Thinking, Thinking Skills, Inhibition, Problem Solving
Guerrero, Tricia A.; Griffin, Thomas D.; Wiley, Jennifer – Grantee Submission, 2020
The Predict-Observe-Explain (POE) learning cycle improves understanding of the connection between empirical results and theoretical concepts when students engage in hands-on experimentation. This study explored whether training students to use a POE strategy when learning from social science texts that describe theories and experimental results…
Descriptors: Prediction, Observation, Reading Comprehension, Correlation
Matthew E. Jacovina; Erica L. Snow; G. Tanner Jackson; Danielle S. McNamara – Grantee Submission, 2015
To optimize the benefits of game-based practice within Intelligent Tutoring Systems (ITSs), researchers examine how game features influence students' motivation and performance. The current study examined the influence of game features and individual differences (reading ability and learning intentions) on motivation and performance. Participants…
Descriptors: Game Based Learning, Intelligent Tutoring Systems, Learning Motivation, Performance
Adlof, Suzanne; Frishkoff, Gwen; Dandy, Jennifer; Perfetti, Charles – Grantee Submission, 2016
Word learning can build the high-quality word representations that support skilled reading and language comprehension. According to the partial knowledge hypothesis, words that are partially known, a.k.a. "frontier words" (Durso & Shore, 1991), may be good targets for instruction precisely because they are already familiar. However,…
Descriptors: Semantics, Familiarity, Adults, Children