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Rianne Conijn
Rianne Conijn
Verified email at tue.nl
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Year
Predicting student performance from LMS data: A comparison of 17 blended courses using Moodle
R Conijn, C Snijders, A Kleingeld, U Matzat
IEEE Transactions on Learning Technologies, 2017
4442017
Supporting learners' self-regulated learning in Massive Open Online Courses
RS Jansen, A van Leeuwen, J Janssen, R Conijn, L Kester
Computers & Education 146, 103771, 2020
3162020
Predicting student performance in a blended MOOC
R Conijn, A Van den Beemt, P Cuijpers
Journal of Computer Assisted Learning 34 (5), 615-628, 2018
1362018
Virtual internships in blended environments to prepare preservice teachers for the professional teaching context
H Theelen, MC Willems, A Van den Beemt, R Conijn, P den Brok
British Journal of Educational Technology 51 (1), 194-210, 2020
732020
Understanding the keystroke log: the effect of writing task on keystroke features
R Conijn, J Roeser, M Van Zaanen
Reading and Writing 32 (9), 2353-2374, 2019
612019
For whom the gamer trolls: A study of trolling interactions in the online gaming context
C Cook, R Conijn, J Schaafsma, M Antheunis
Journal of Computer-Mediated Communication 24 (6), 293-318, 2019
522019
The fear of big brother: The potential negative side‐effects of proctored exams
R Conijn, A Kleingeld, U Matzat, C Snijders
Journal of Computer Assisted Learning 38 (6), 1521-1534, 2022
362022
How to provide automated feedback on the writing process? A participatory approach to design writing analytics tools
R Conijn, R Martinez-Maldonado, S Knight, S Buckingham Shum, ...
Computer Assisted Language Learning 35 (8), 1838-1868, 2022
342022
The effects of explanations in automated essay scoring systems on student trust and motivation
R Conijn, P Kahr, CCP Snijders
Journal of Learning Analytics 10 (1), 37-53, 2023
232023
A product-and process-oriented tagset for revisions in writing
R Conijn, ED Speltz, M Zaanen, LV Waes, E Chukharev-Hudilainen
Written Communication 39 (1), 97-128, 2022
172022
Early prediction of writing quality using keystroke logging
R Conijn, C Cook, M van Zaanen, L Van Waes
International Journal of Artificial Intelligence in Education 32 (4), 835-866, 2022
152022
Human-centered design of a dashboard on students’ revisions during writing
R Conijn, L Van Waes, M van Zaanen
European Conference on Technology Enhanced Learning, 30-44, 2020
152020
Humans and algorithms detecting fake news: Effects of individual and contextual confidence on trust in algorithmic advice
C Snijders, R Conijn, E de Fouw, K van Berlo
International Journal of Human–Computer Interaction 39 (7), 1483-1494, 2023
142023
A process-oriented dataset of revisions during writing
R Conijn, E Chukharev-Hudilainen, E Dux Speltz, M van Zaanen, ...
122020
The keys to writing: A writing analytics approach to studying writing processes using keystroke logging
R Conijn
112020
Carrot or stick: The effect of reward and punishment in robot assisted language learning
M de Haas, R Conijn
Companion of the 2020 ACM/IEEE international conference on human-robot†…, 2020
92020
Automated extraction of revision events from keystroke data
R Conijn, E Dux Speltz, E Chukharev-Hudilainen
Reading and Writing 37 (2), 483-508, 2024
82024
Are you being rhetorical? a description of rhetorical move annotation tools and open corpus of sample machine-annotated rhetorical moves
S Knight, S Abel, A Shibani, YK Goh, R Conijn, A Gibson, S Vajjala, ...
Journal of Learning Analytics 7 (3), 138-154, 2020
82020
How to typo? Building a process-based model of typographic error revisions
R Conijn, M Van Zaanen, M Leijten, L Van Waes
Journal of Writing Analytics 3, 69-95, 2019
82019
What's (not) in a Keystroke? Automatic Discovery of Students' Writing Processes Using Keystroke Logging
R Conijn, J van der Loo, M Van Zaanen
International Conference on Learning Analytics & Knowledge, 2018
82018
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