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Zhang, Jingjing; Huang, Yicheng; Gao, Ming – Journal of Learning Analytics, 2022
Network analytics has the potential to examine new behaviour patterns that are often hidden by the complexity of online interactions. One of the varied network analytics approaches and methods, the model of collective attention, takes an ecological system perspective to exploring the dynamic process of participation patterns in online and flexible…
Descriptors: Network Analysis, Video Technology, MOOCs, Attention Control
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Valle, Natercia; Antonenko, Pavlo; Wang, Jiahui; Luo, Wenjing – Excellence in Education Journal, 2020
Anticipation Guides (AGs) help learners to activate prior knowledge before an instructional unit. As a pre-learning strategy, AGs motivate learners to explore learning materials by challenging, activating, or corroborating their prior knowledge and predictions about a subject. While AGs have mostly been used in reading instruction, in this study,…
Descriptors: Eye Movements, Multimedia Instruction, Teaching Methods, Attention Control
Lillie Moffett; Frederick J. Morrison – Grantee Submission, 2020
Behavioral self-regulation supports young children's learning and is a strong predictor of later academic achievement. The capacity to manage one's attention and control one's behavior is commonly measured via direct assessments of executive function (EF). However, to understand how EF skills contribute to academic achievement, it is helpful to…
Descriptors: Self Control, Executive Function, Inhibition, Short Term Memory
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Lillie Moffett; Frederick J. Morrison – Journal of Educational Psychology, 2020
Behavioral self-regulation supports young children's learning and is a strong predictor of later academic achievement. The capacity to manage one's attention and control one's behavior is commonly measured via direct assessments of executive function (EF). However, to understand how EF skills contribute to academic achievement, it is helpful to…
Descriptors: Self Control, Executive Function, Inhibition, Short Term Memory
Neuman, Susan B.; Wong, Kevin M.; Flynn, Rachel; Kaefer, Tanya – Grantee Submission, 2019
This article reports on two studies designed to examine the landscape of online streamed videos, and the features that may support vocabulary learning for low-income preschoolers. In Study 1, we report on a content analysis of 100 top language- and literacy-focused educational media programs streamed from five streaming platforms. Randomly…
Descriptors: Vocabulary Development, Video Technology, Cues, Low Income Groups
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Luo, Wenshu – Asia Pacific Education Review, 2017
This study examined teaching practice in Singapore mathematics classrooms and its prediction of student engagement. A large sample of Singapore Secondary 2 students first reported perceived teaching practice in their mathematics classrooms in Term 1 and their engagement in mathematics study in Term 2. Based on Rasch analysis of teaching practice,…
Descriptors: Prediction, Teaching Methods, Learner Engagement, Metacognition
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Yilmaz, Yucel; Granena, Gisela – Modern Language Journal, 2019
The present study investigated a group of cognitive individual differences considered advantageous in second language learning and their role in language learning under implicit and explicit feedback conditions using both language awareness and language development measures. The study further investigated whether different types of awareness are…
Descriptors: Individual Differences, Second Language Learning, Second Language Instruction, Oral Language