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Inge Molenaar
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2020 – today
- 2024
- [j23]Lyn Lim
, Maria Bannert, Joep van der Graaf
How do students learn with real-time personalized scaffolds? Br. J. Educ. Technol. 55(4): 1309-1327 (2024) - [j22]Ikenna Osakwe
Towards prescriptive analytics of self-regulated learning strategies: A reinforcement learning approach. Br. J. Educ. Technol. 55(4): 1747-1771 (2024) - [j21]Carolien A. N. Knoop-van Campen
Enacting control with student dashboards: The role of motivation. J. Comput. Assist. Learn. 40(3): 1137-1153 (2024) - 2023
- [j20]Ikenna Osakwe, Guanliang Chen, Yizhou Fan, Mladen Rakovic, Xinyu Li, Shaveen Singh, Inge Molenaar, Maria Bannert, Dragan Gasevic:
Reinforcement learning for automatic detection of effective strategies for self-regulated learning. Comput. Educ. Artif. Intell. 5: 100181 (2023) - [j19]Inge Molenaar
Measuring self-regulated learning and the role of AI: Five years of research using multimodal multichannel data. Comput. Hum. Behav. 139: 107540 (2023) - [j18]Lyn Lim
Effects of real-time analytics-based personalized scaffolds on students' self-regulated learning. Comput. Hum. Behav. 139: 107547 (2023) - [j17]S. H. E. Dijkstra
Clustering children's learning behaviour to identify self-regulated learning support needs. Comput. Hum. Behav. 145: 107754 (2023) - [j16]Sanna Järvelä, Andy Nguyen, Inge Molenaar
Advancing SRL research with artificial intelligence. Comput. Hum. Behav. 147: 107847 (2023) - [j15]Carolien A. N. Knoop-van Campen, Alyssa Wise, Inge Molenaar
The equalizing effect of teacher dashboards on feedback in K-12 classrooms. Interact. Learn. Environ. 31(6): 3447-3463 (2023) - [j14]Mladen Rakovic
Harnessing the potential of trace data and linguistic analysis to predict learner performance in a multi-text writing task. J. Comput. Assist. Learn. 39(3): 703-718 (2023) - [j13]Yizhou Fan
Towards a fuller picture: Triangulation and integration of the measurement of self-regulated learning based on trace and think aloud data. J. Comput. Assist. Learn. 39(4): 1303-1324 (2023) - 2022
- [j12]Inge Molenaar
The concept of hybrid human-AI regulation: Exemplifying how to support young learners' self-regulated learning. Comput. Educ. Artif. Intell. 3: 100070 (2022) - [j11]Jolique Kielstra
'Supporting socially shared regulation during collaborative task-oriented reading'. Int. J. Comput. Support. Collab. Learn. 17(1): 65-105 (2022) - [c17]Mladen Rakovic, Yizhou Fan, Joep van der Graaf, Shaveen Singh
Using Learner Trace Data to Understand Metacognitive Processes in Writing from Multiple Sources. LAK 2022: 130-141 - [c16]Namrata Srivastava
Effects of Internal and External Conditions on Strategies of Self-regulated Learning: A Learning Analytics Study. LAK 2022: 392-403 - 2021
- [j10]Anne Horvers, Natasha Tombeng, Tibor Bosse, Ard W. Lazonder, Inge Molenaar
Detecting Emotions through Electrodermal Activity in Learning Contexts: A Systematic Review. Sensors 21(23): 7869 (2021) - [j9]Anouschka van Leeuwen
How Teacher Characteristics Relate to How Teachers Use Dashboards: Results From Two Case Studies in K-12. J. Learn. Anal. 8(2): 6-21 (2021) - [c15]Joep van der Graaf, Lyn Lim
Do Instrumentation Tools Capture Self-Regulated Learning? LAK 2021: 438-448 - [e3]Daniele Di Mitri, Roberto Martínez Maldonado, Olga C. Santos, Jan Schneider, Khaleel Asyraaf Mat Sanusi, Mutlu Cukurova, Daniel Spikol, Inge Molenaar, Michail N. Giannakos, Roland Klemke, Roger Azevedo:
Proceedings of the First International Workshop on Multimodal Artificial Intelligence in Education (MAIED 2021) At the 22nd International Conference on Artificial Intelligence in Education (AIED 2021), Online, June 14th, 2021. CEUR Workshop Proceedings 2902, CEUR-WS.org 2021 [contents] - 2020
- [c14]Joep van der Graaf, Inge Molenaar, Kia Puay Lim, Yizhou Fan, Katharina Engelmann, Dragan Gasevic, Maria Bannert:
Facilitating Self-Regulated Learning with Personalized Scaffolds on Student's own Regulation Activities. CrossMMLA@LAK 2020: 46-48 - [c13]Inge Molenaar
Personalized visualizations to promote young learners' SRL: the learning path app. LAK 2020: 330-339 - [e2]Michail N. Giannakos, Daniel Spikol, Inge Molenaar, Daniele Di Mitri, Kshitij Sharma, Xavier Ochoa, Rawad Hammad:
Proceedings of CrossMMLA in practice: Collecting, annotating and analyzing multimodal data across spaces co-located with 10th International Learning and Analytics Conference (LAK 2020), Cyberspace, March 24, 2020. CEUR Workshop Proceedings 2610, CEUR-WS.org 2020 [contents]
2010 – 2019
- 2019
- [j8]Cindy Paans, Inge Molenaar
Temporal variation in children's self-regulated hypermedia learning. Comput. Hum. Behav. 96: 246-258 (2019) - [j7]Inge Molenaar
How Teachers Make Dashboard Information Actionable. IEEE Trans. Learn. Technol. 12(3): 347-355 (2019) - [c12]Inge Molenaar
Towards Hybrid Human-System Regulation: Understanding Children' SRL Support Needs in Blended Classrooms. LAK 2019: 471-480 - 2018
- [j6]Cindy Paans
The quality of the assignment matters in hypermedia learning. J. Comput. Assist. Learn. 34(6): 853-862 (2018) - [c11]Liesje De Backer, Ingo Kollar, Christopher A. Williams, Tina Seufert, Armin Weinberger, Nadine Melzner, Martin Greisel, Markus Dresel, Jolique Kielstra, Inge Molenaar, Hilde van Keer, Martin Valcke, Raija Hämäläinen:
Assessing Prerequisites and Processes of Self-, Co- and Shared Regulation during Collaborative Learning. ICLS 2018 - [c10]Anouschka van Leeuwen, Nikol Rummel, Kenneth Holstein, Bruce M. McLaren, Vincent Aleven, Inge Molenaar, Carolien Knoop van Campen, Baruch B. Schwarz, Naomi Prusak, Osama Swidan, Avi Segal, Kobi Gal:
Orchestration tools for teachers in the context of individual and collaborative learning: what information do teachers need and what do they do with it? ICLS 2018 - 2017
- [j5]R. C. Teepe, Inge Molenaar
Technology-enhanced storytelling stimulating parent-child interaction and preschool children's vocabulary knowledge. J. Comput. Assist. Learn. 33(2): 123-136 (2017) - [c9]Inge Molenaar
Teacher Dashboards in Practice: Usage and Impact. EC-TEL 2017: 125-138 - [c8]Maria Bannert, Inge Molenaar, Roger Azevedo, Sanna Järvelä, Dragan Gasevic
Relevance of learning analytics to measure and support students' learning in adaptive educational technologies. LAK 2017: 568-569 - [c7]Inge Molenaar, Carolien Knoop van Campen, Fred Hasselman:
The effects of a learning analytics empowered technology on students' arithmetic skill development. LAK 2017: 614-615 - [e1]Marek Hatala, Alyssa Friend Wise, Phil Winne, Grace Lynch, Xavier Ochoa, Inge Molenaar, Shane Dawson, Shady Shehata, Jennifer Pei-Ling Tan:
Proceedings of the Seventh International Learning Analytics & Knowledge Conference, Vancouver, BC, Canada, March 13-17, 2017. ACM 2017, ISBN 978-1-4503-4870-6 [contents] - 2016
- [j4]M. C. Gremmen, Inge Molenaar
Vocabulary development at home: a multimedia elaborated picture supporting parent-toddler interaction. J. Comput. Assist. Learn. 32(6): 548-560 (2016) - [c6]Inge Molenaar
Learning analytics in practice: the effects of adaptive educational technology Snappet on students' arithmetic skills. LAK 2016: 538-539 - 2015
- [c5]Inge Molenaar
Effects of sequences of socially regulated learning on group performance. LAK 2015: 236-240 - 2012
- [j3]Inge Molenaar
Dynamic scaffolding of socially regulated learning in a computer-based learning environment. Comput. Educ. 59(2): 515-523 (2012) - 2011
- [j2]Inge Molenaar
Scaffolding of small groups' metacognitive activities with an avatar. Int. J. Comput. Support. Collab. Learn. 6(4): 601-624 (2011) - [c4]Inge Molenaar
The Effect of Dynamic Computerized Scaffolding on Collaborative Discourse. EC-TEL 2011: 461-466 - 2010
- [j1]Inge Molenaar
The effects of scaffolding metacognitive activities in small groups. Comput. Hum. Behav. 26(6): 1727-1738 (2010) - [c3]Britte Haugan Cheng, Inge Molenaar, Ming Ming Chiu, Vanessa Svihla, Alyssa Friend Wise, Vanessa L. Peters, Katerina Zourou:
It's about time: purpose, methods, and challenges of temporal analyses of multiple data streams. ICLS 2010: 501-502
2000 – 2009
- 2009
- [c2]Inge Molenaar
Different forms of Scaffolding, Different Learning Outcomes. AIED 2009: 611-613 - 2007
- [c1]Joona Laukkanen, Claudia Roda, Inge Molenaar:
Modeling Tasks: a Requirements Analysis based on Attention Support Services. CAMA 2007: 1-7
Coauthor Index
aka: Carolien Knoop van Campen
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last updated on 2024-11-25 23:43 CET by the dblp team
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