Jocelyn Parong
Experimental and Cognitive Psychology · 2018–2020
A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Experimental and Cognitive Psychology — 31 citations into it; #2,973 of 9,731 by trust here, #6,168 by citations
- Developmental and Educational Psychology — 20 citations into it; #2,643 of 8,223 by trust here, #4,815 by citations
- Education — 17 citations into it
- Cognitive Neuroscience — 12 citations into it
- Human-Computer Interaction — 12 citations into it; #697 of 2,253 by trust here, #1,386 by citations
- Social Psychology — 12 citations into it
- Artificial Intelligence — 8 citations into it
- Computer Vision and Pattern Recognition — 6 citations into it
Whom Jocelyn Parong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard E. Mayer
- Roxana Moreno
- Logan Fiorella
- M. Carter
- P. Pintrich
- Noah S. Podolefsky
- Ulrich Schiefele
- Khe Foon Timothy Hew
- Guido Makransky
- Jan L. Plass
Who trusts Jocelyn Parong overall
- Oliver A. Meyer
- Guido Makransky
- Jaziar Radianti
- Richard E. Mayer
- Magnus K. Omdahl
- Tim A. Majchrzak
- Josef Buchner
- Jennifer Fromm
- Patrick Albus
Papers from Jocelyn Parong's perspective
Ordered by how strongly the researchers Jocelyn Parong trusts endorse each paper. Same corpus, a different order for every researcher.
- Engaging students in active learning: The case for personalized multimedia messages.
- Principles for managing essential processing in multimedia learning: Segmenting, pre-training, and modality principles.
- When learning is just a click away: Does simple user interaction foster deeper understanding of multimedia messages?
- Situational and individual interest.
- Motivation and Classroom Learning
- Learning science through computer games and simulations
- Visible learning: a synthesis of over 800 meta‐analyses relating to achievement
- Multimedia in Learning
- Eight Ways to Promote Generative Learning
- Nine Ways to Reduce Cognitive Load in Multimedia Learning
Their papers
- Cognitive and affective processes for learning science in immersive virtual reality (2020) — 310 citations
- Learning Science in Immersive Virtual Reality (2018) — 882 citations