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Yinghui Shi

Biographic Data

ID3915896
NAMEYinghui Shi
GIVEN NAMESYinghui
FAMILY NAMEShi
SIGNATURESHI Y
AFFILIATIONSCentral China Normal University
ORCID0000-0003-4922-2870
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS0
AUTHOR COUNT5
EDITOR COUNT0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2023
H-INDEX0
  • Effects of mind mapping-based instruction on student cognitive learning outcomes: A meta-analysis

    Open Access•Yinghui Shi, Huiyun Yang et al.•ARTICLE•Asia Pacific Education Review•2023

  • Examining the effects of note-taking styles on college students’ learning achievement and cognitive load

    Open Access•Yinghui Shi, Huiyun Yang et al.•ARTICLE•Australasian Journal of…•2022

    This study investigated the effects of note-taking styles on college students’ learning achievement and cognitive load in a 6-week lecture-based computer network course. Forty-two students were randomly assigned into one of three groups, which consisted of collaborative note-taking, laptop note-taking, and traditional longhand note-taking. The results showed that students in the collaborative note-taking group did better on learning achievement a…

  • Exploring the Factors That Influence College Students' Academic Self-Efficacy in Blended Learning: A Study From the Personal, Interpersonal, and Environmental Perspectives

    Open Access•Yitong Wei, Yinghui Shi et al.•ARTICLE•SAGE Open•2022•References: 60

    Academic self-efficacy is identified as one of the strongest predictors of students' academic performance. However, few studies have explored the factors that influence students' academic self-efficacy in a blended learning environment. By developing a comprehensive model, this study investigates the main factors that influence students' academic self-efficacy in blended learning from the personal, interpersonal, and environmental perspectives. T…

  • Examining the key influencing factors on college students’ higher-order thinking skills in the smart classroom environment

    Open Access•Kaili LU, Harrison Hao Yang et al.•ARTICLE•International Journal of…•2021

    To understand the development of students’ higher-order thinking skills (HOTS) in the smart classroom environment, a structural equation modeling analysis was used to examine the relationships between key factors that influence students’ learning and their HOTS within a smart classroom environment. A sample of 217 first-year Chinese college students, who studied in a smart classroom environment for one semester, completed a survey that measures t…

  • Effects of Interactive Whiteboard-based Instruction on Students’ Cognitive Learning Outcomes: A Meta-Analysis

    Yinghui Shi, Jingman Zhang et al.•ARTICLE•Interactive Learning Environments•2021

    The infusion and diffusion of the interactive whiteboard (IWB) has attracted considerable interest in educational contexts over the past years. However, research to date has been controversial with regard to the effectiveness of IWB-based instruction on cognitive learning outcomes. This study identified empirical publications that examine students’ cognitive learning outcomes and applied a meta-analysis to determine the overall effectiveness of I…

No prominent works on this page.

  • Examining the key influencing factors on college students’ higher-order thinking skills in the smart classroom environment

    Open Access•Kaili LU, Harrison Hao Yang et al.•ARTICLE•International Journal of…•2021

    To understand the development of students’ higher-order thinking skills (HOTS) in the smart classroom environment, a structural equation modeling analysis was used to examine the relationships between key factors that influence students’ learning and their HOTS within a smart classroom environment. A sample of 217 first-year Chinese college students, who studied in a smart classroom environment for one semester, completed a survey that measures t…

  • Effects of Interactive Whiteboard-based Instruction on Students’ Cognitive Learning Outcomes: A Meta-Analysis

    Yinghui Shi, Jingman Zhang et al.•ARTICLE•Interactive Learning Environments•2021

    The infusion and diffusion of the interactive whiteboard (IWB) has attracted considerable interest in educational contexts over the past years. However, research to date has been controversial with regard to the effectiveness of IWB-based instruction on cognitive learning outcomes. This study identified empirical publications that examine students’ cognitive learning outcomes and applied a meta-analysis to determine the overall effectiveness of I…

  • Examining the effects of note-taking styles on college students’ learning achievement and cognitive load

    Open Access•Yinghui Shi, Huiyun Yang et al.•ARTICLE•Australasian Journal of…•2022

    This study investigated the effects of note-taking styles on college students’ learning achievement and cognitive load in a 6-week lecture-based computer network course. Forty-two students were randomly assigned into one of three groups, which consisted of collaborative note-taking, laptop note-taking, and traditional longhand note-taking. The results showed that students in the collaborative note-taking group did better on learning achievement a…

  • Exploring the Factors That Influence College Students' Academic Self-Efficacy in Blended Learning: A Study From the Personal, Interpersonal, and Environmental Perspectives

    Open Access•Yitong Wei, Yinghui Shi et al.•ARTICLE•SAGE Open•2022•References: 60

    Academic self-efficacy is identified as one of the strongest predictors of students' academic performance. However, few studies have explored the factors that influence students' academic self-efficacy in a blended learning environment. By developing a comprehensive model, this study investigates the main factors that influence students' academic self-efficacy in blended learning from the personal, interpersonal, and environmental perspectives. T…

  • Effects of mind mapping-based instruction on student cognitive learning outcomes: A meta-analysis

    Open Access•Yinghui Shi, Huiyun Yang et al.•ARTICLE•Asia Pacific Education Review•2023

Mathematics education (5 works) · Psychology (5 works) · Computer Science (4 works) · Cognition (3 works) · Academic achievement (2 works) · Cooperative learning (2 works) · Educational technology (2 works) · Meta-analysis (2 works) · Online and Blended Learning (2 works) · Teaching method (2 works)

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