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N Sanjay Rebello

Biographic Data

ID9510007
NAMEN Sanjay Rebello
GIVEN NAMESN Sanjay
FAMILY NAMERebello
SIGNATUREREBELLO N S
AFFILIATIONSPurdue University West Lafayette
ORCID0009-0002-0194-5017
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS0
AUTHOR COUNT5
EDITOR COUNT0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Using multimedia hints to facilitate conceptual problem solving in physics: Investigating the effects of multiple modalities

    Open Access•Xian Wu, Xiao Wu et al.•ARTICLE•Frontiers in Education•2025

    Multimedia hints are widely used in educational materials to support conceptual learning, yet their comparative effectiveness across modalities remains underexplored. Prior studies suggest that graphical hints can enhance learners’ performance on physics problems, but it is unclear how they interact with other modalities such as text and voice. Understanding these interactions is essential for designing effective instructional tools. In this stud…

  • Emotional and cognitive effects of learning with computer simulations and computer videogames

    Open Access•Alejandra J Magana, Jisoo Hwang et al.•ARTICLE•Journal of Computer Assisted…•2022

  • Subjective Measure of Cognitive Load Depends on Participants’ Content Knowledge Level

    Open Access•Tianlong Zu, Jeremy Munsell et al.•ARTICLE•Frontiers in Education•2021

    Cognitive load theory (CLT) posits the classic view that cognitive load (CL) has three-components: intrinsic, extraneous and germane. Prior research has shown that subjective ratings are valid measures of different CL subtypes. To a lesser degree, how the validity of these subjective ratings depends on learner characteristics has not been studied. In this research, we explored the extent to which the validity of a specific set of subjective measu…

  • Supporting middle school students’ science talk: A comparison of physical and virtual labs

    Open Access•Sadhana Puntambekar, Dana Gnesdilow et al.•ARTICLE•Journal of Research in Science…•2021

    Research exploring students’ learning from physical and virtual labs has suggested that on the whole, students learn science content just as well, if not better from virtual labs as they do from physical labs. However, the affordances of physical labs might support the learning of specific skills and competencies that are just as crucial for learning science. In this study, we examined students’ discussions as they worked on physical and virtual …

  • Using eye movements to measure intrinsic, extraneous, and germane load in a multimedia learning environment

    Open Access•Tianlong Zu, John Hutson et al.•ARTICLE•Journal of Educational Psychology•2020

    In a previous study, DeLeeuw and Mayer (2008) found support for the triarchic model of cognitive load (Sweller, Van Merrienboer, & Paas, 1998, 2019) by showing that three different metrics could be used to independently measure 3 hypothesized types of cognitive load: intrinsic, extraneous, and germane. However, 2 of the 3 metrics that the authors used were intrusive in nature because learning had to be stopped momentarily to complete the measures…

No prominent works on this page.

  • Using eye movements to measure intrinsic, extraneous, and germane load in a multimedia learning environment

    Open Access•Tianlong Zu, John Hutson et al.•ARTICLE•Journal of Educational Psychology•2020

    In a previous study, DeLeeuw and Mayer (2008) found support for the triarchic model of cognitive load (Sweller, Van Merrienboer, & Paas, 1998, 2019) by showing that three different metrics could be used to independently measure 3 hypothesized types of cognitive load: intrinsic, extraneous, and germane. However, 2 of the 3 metrics that the authors used were intrusive in nature because learning had to be stopped momentarily to complete the measures…

  • Subjective Measure of Cognitive Load Depends on Participants’ Content Knowledge Level

    Open Access•Tianlong Zu, Jeremy Munsell et al.•ARTICLE•Frontiers in Education•2021

    Cognitive load theory (CLT) posits the classic view that cognitive load (CL) has three-components: intrinsic, extraneous and germane. Prior research has shown that subjective ratings are valid measures of different CL subtypes. To a lesser degree, how the validity of these subjective ratings depends on learner characteristics has not been studied. In this research, we explored the extent to which the validity of a specific set of subjective measu…

  • Supporting middle school students’ science talk: A comparison of physical and virtual labs

    Open Access•Sadhana Puntambekar, Dana Gnesdilow et al.•ARTICLE•Journal of Research in Science…•2021

    Research exploring students’ learning from physical and virtual labs has suggested that on the whole, students learn science content just as well, if not better from virtual labs as they do from physical labs. However, the affordances of physical labs might support the learning of specific skills and competencies that are just as crucial for learning science. In this study, we examined students’ discussions as they worked on physical and virtual …

  • Emotional and cognitive effects of learning with computer simulations and computer videogames

    Open Access•Alejandra J Magana, Jisoo Hwang et al.•ARTICLE•Journal of Computer Assisted…•2022

  • Using multimedia hints to facilitate conceptual problem solving in physics: Investigating the effects of multiple modalities

    Open Access•Xian Wu, Xiao Wu et al.•ARTICLE•Frontiers in Education•2025

    Multimedia hints are widely used in educational materials to support conceptual learning, yet their comparative effectiveness across modalities remains underexplored. Prior studies suggest that graphical hints can enhance learners’ performance on physics problems, but it is unclear how they interact with other modalities such as text and voice. Understanding these interactions is essential for designing effective instructional tools. In this stud…

Computer Science (4 works) · Psychology (4 works) · Visual and Cognitive Learning Processes (4 works) · Cognition (3 works) · Cognitive Load (3 works) · Cognitive psychology (3 works) · Innovative Teaching and Learning Methods (3 works) · Mathematics education (3 works) · Multimedia (3 works) · Artificial Intelligence (2 works)

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