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Wang, Fuxing; Li, Wenjing; Mayer, Richard E.; Liu, Huashan – Journal of Educational Psychology, 2018
The goal of the present study is to determine how to incorporate social cues such as gesturing in animated pedagogical agents (PAs) for online multimedia lessons in ways that promote student learning. In 3 experiments, college students learned about synaptic transmission from a multimedia narrated presentation while their eye movements were…
Descriptors: Teaching Methods, Multimedia Instruction, Cues, Nonverbal Communication
Elleman, Amy M. – Journal of Educational Psychology, 2017
Inference ability is considered central to discourse processing and has been shown to be important across models of reading comprehension. To evaluate the impact of inference instruction, a meta-analysis of 25 inference studies in Grades K-12 was conducted. Results showed that inference instruction was effective for increasing students' general…
Descriptors: Inferences, Reading Instruction, Reading Comprehension, Instructional Effectiveness
Strati, Anna D.; Schmidt, Jennifer A.; Maier, Kimberly S. – Journal of Educational Psychology, 2017
This study explored associations between students' perceptions of challenge, teacher-provided support and obstruction, and students' momentary academic engagement in high school science classrooms. Instrumental and emotional dimensions of support and obstruction were examined separately, and analyses tested whether the relationship between…
Descriptors: Student Attitudes, Barriers, Teacher Role, Learner Engagement
Steacy, Laura M.; Kearns, Devin M.; Gilbert, Jennifer K.; Compton, Donald L.; Cho, Eunsoo; Lindstrom, Esther R.; Collins, Alyson A. – Journal of Educational Psychology, 2017
Models of irregular word reading that take into account both child- and word-level predictors have not been evaluated in typically developing children and children with reading difficulty (RD). The purpose of the present study was to model individual differences in irregular word reading ability among 5th grade children (N = 170), oversampled for…
Descriptors: Individual Differences, Word Recognition, Word Frequency, Predictor Variables

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