7 Matching Annotations
  1. Jan 2023
  2. hypothes.is hypothes.is
    假设
    1
    1. haotianl 26 Jan 2023
      个人学习可能取决于他人行为的主张突出了将学习环境视为一个涉及多个互动参与者的系统的重要性
      When it comes to learning context, what reminds me is the personalized learning context theory. Stephen Dowens (2010) pointed out that the learning context is a loose collection of learners, tools, resources and services, which is also a new form of the network power utilization. In a personalized learning context, there is undoubtedly that learners are the main body who participating in the teaching and learning activities. We can assume that in a passive process like listening to instructor’s point without learner’s interaction, it’s hard for learners to improve their creativity and learning efficiency. Many online learning environment designers create discussion forums in the learning system to record learners' interactions with other leaners, such as questions they ask and the responses to others' questions. The system can capture learners' study related data, analyze and assess their cognitive levels using algorithms such as the Proficiency Model.
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    hypothes.is/groups/85b1vJWn/educ6144-001
  3. Jun 2021
  4. psyarxiv.com psyarxiv.com
    Bots or inattentive humans? Identifying sources of low-quality data in online platforms
    1
    1. lucyparfitt16 25 Jun 2021

      Moss, A. J., Rosenzweig, C., Jaffe, S. N., Gautam, R., Robinson, J., & Litman, L. (2021). Bots or inattentive humans? Identifying sources of low-quality data in online platforms [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/wr8ds

      is:preprint lang:en online data quality validity online research bots bad data inattentive problem fraudulent user data collection surveys behavioral science
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    psyarxiv.com/wr8ds/
  5. Feb 2021
  6. psyarxiv.com psyarxiv.com
    Time to Shine: Reliable Response-Timing Using R-Shiny for Online Experiments
    1
    1. Grace1999 15 Feb 2021

      Perez Santangelo, A., & Solovey, G. (2020, November 9). Time to Shine: Reliable Response-Timing Using R-Shiny for Online Experiments. https://doi.org/10.31234/osf.io/nuxdg

      is:preprint lang:en Cognitive science Online studies Bayesian inference Binary decision Data collection Distance effect Online experiment
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    psyarxiv.com/nuxdg/
  7. Sep 2020
  8. www.psychologicalscience.org www.psychologicalscience.org
    Online Research: From Funding to Data Collection
    1
    1. ErikStuchly 25 Sep 2020

      Online Research: From Funding to Data Collection. (n.d.). Association for Psychological Science - APS. Retrieved September 25, 2020, from https://www.psychologicalscience.org/news/online-research.html

      is:blog lang:en COVID-19 remote work online research funding data collection methodology creativity adaptation online data transparency
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    psychologicalscience.org/news/online-research.html
  9. Jun 2020
  10. psyarxiv.com psyarxiv.com
    Micropublishing during and after the COVID-19 era
    1
    1. Marlene_Wulf 30 Jun 2020

      Yamada, Y. (2020). Micropublishing during and after the COVID-19 era [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/8fum4

      is:preprint lang:en COVID-19 academic publishing micropublishing behavioral science social science online data collection engagement cumulative demo journal
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    psyarxiv.com/8fum4/
  11. May 2020
  12. www.sciencedirect.com www.sciencedirect.com
    No Participant Left Behind: Conducting Science During COVID-19
    1
    1. edampf 19 May 2020

      Lourenco, S. F., & Tasimi, A. (2020). No Participant Left Behind: Conducting Science During COVID-19. Trends in Cognitive Sciences, S1364661320301157. https://doi.org/10.1016/j.tics.2020.05.003

      is:article lang:en COVID-19 participant cognitive science online testing research data collection internet access low-income minority diversity equality
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    sciencedirect.com/science/article/pii/S1364661320301157
  13. Apr 2020
  14. emljames.github.io emljames.github.io
    Tutorial Home
    1
    1. edampf 23 Apr 2020

      James, E. Tutorial Home. Github.io. https://emljames.github.io/GorillaR/

      is:webpage lang:en introduction R tidyverse Gorilla code online data collection data data manipulation tutorial
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    emljames.github.io/GorillaR/