Rianne Conijn

Orcid: 0000-0002-6316-4892

According to our database1, Rianne Conijn authored at least 14 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Humans and Algorithms Detecting Fake News: Effects of Individual and Contextual Confidence on Trust in Algorithmic Advice.
Int. J. Hum. Comput. Interact., April, 2023

The Effects of Explanations in Automated Essay Scoring Systems on Student Trust and Motivation.
J. Learn. Anal., 2023

2022
The fear of big brother: The potential negative side-effects of proctored exams.
J. Comput. Assist. Learn., 2022

Early prediction of writing quality using keystroke logging.
Int. J. Artif. Intell. Educ., 2022

2020
Are You Being Rhetorical? A Description of Rhetorical Move Annotation Tools and Open Corpus of Sample Machine-Annotated Rhetorical Moves.
J. Learn. Anal., December, 2020

Supporting learners' self-regulated learning in Massive Open Online Courses.
Comput. Educ., 2020

Virtual internships in blended environments to prepare preservice teachers for the professional teaching context.
Br. J. Educ. Technol., 2020

A Process-oriented Dataset of Revisions during Writing.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Carrot or Stick: The Effect of Reward and Punishment in Robot Assisted Language Learning.
Proceedings of the Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, 2020

Human-Centered Design of a Dashboard on Students' Revisions During Writing.
Proceedings of the Addressing Global Challenges and Quality Education, 2020

2019
For Whom the Gamer Trolls: A Study of Trolling Interactions in the Online Gaming Context.
J. Comput. Mediat. Commun., 2019

Don't Wait Until it Is Too Late: The Effect of Timing of Automated Feedback on Revision in ESL Writing.
Proceedings of the Transforming Learning with Meaningful Technologies, 2019

2018
Predicting student performance in a blended MOOC.
J. Comput. Assist. Learn., 2018

2017
Predicting Student Performance from LMS Data: A Comparison of 17 Blended Courses Using Moodle LMS.
IEEE Trans. Learn. Technol., 2017


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