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Wim van den Noortgate
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2020 – today
- 2024
- [j13]Pieter Vanneste, Kim Dekeyser, Luis Alberto Pinos Ullauri, Dries Debeer, Frederik Cornillie, Fien Depaepe, Annelies Raes, Wim van den Noortgate, Sameh Said-Metwaly:
Towards tailored cognitive support in augmented reality assembly work instructions. J. Comput. Assist. Learn. 40(2): 797-811 (2024) - [j12]Sohum Mandar Bhatt, Katrien Verbert, Wim van den Noortgate:
A Method for Developing Process-Based Assessments for Computational Thinking Tasks. J. Learn. Anal. 11(2): 157-173 (2024) - [j11]Sohum Mandar Bhatt, Wim van den Noortgate, Katrien Verbert:
Investigating the Use of Deep Learning and Implicit Feedback in K12 Educational Recommender Systems. IEEE Trans. Learn. Technol. 17: 112-123 (2024) - [c5]Michiel De Vrindt, Anaïs Tack, Renske Bouwer, Wim van den Noortgate, Marije Lesterhuis:
Predicting Initial Essay Quality Scores to Increase the Efficiency of Comparative Judgment Assessments. BEA 2024: 125-136 - 2023
- [j10]Stefanie Vanbecelaere, Sameh Said-Metwaly, Wim van den Noortgate, Bert Reynvoet, Fien Depaepe:
The effectiveness of Tier 1 digital interventions for early reading: A meta-analysis. Br. J. Educ. Technol. 54(5): 1397-1432 (2023) - 2021
- [j9]Dries Debeer, Stefanie Vanbecelaere, Wim van den Noortgate, Bert Reynvoet, Fien Depaepe:
The effect of adaptivity in digital learning technologies. Modelling learning efficiency using data from an educational game. Br. J. Educ. Technol. 52(5): 1881-1897 (2021) - [j8]Pieter Vanneste, Annelies Raes, Jessica Morton, Klaas Bombeke, Bram B. Van Acker, Charlotte Larmuseau, Fien Depaepe, Wim van den Noortgate:
Towards measuring cognitive load through multimodal physiological data. Cogn. Technol. Work. 23(3): 567-585 (2021) - [c4]Sohum Mandar Bhatt, Lien de Bie, Wim van den Noortgate:
Comparing Usage in and Between Primary and Secondary Schools for a Blended TEL Portal. EC-TEL 2021: 300-304 - 2020
- [j7]Annelies Raes, Pieter Vanneste, Marieke Pieters, Ine Windey, Wim van den Noortgate, Fien Depaepe:
Learning and instruction in the hybrid virtual classroom: An investigation of students' engagement and the effect of quizzes. Comput. Educ. 143 (2020) - [j6]Pieter Vanneste, Yi Huang, Jung Yeon Park, Frederik Cornillie, Bart Decloedt, Wim van den Noortgate:
Cognitive support for assembly operations by means of augmented reality: an exploratory study. Int. J. Hum. Comput. Stud. 143: 102480 (2020)
2010 – 2019
- 2019
- [j5]Konstantinos Pliakos, Seang-Hwane Joo, Jung Yeon Park, Frederik Cornillie, Celine Vens, Wim van den Noortgate:
Integrating machine learning into item response theory for addressing the cold start problem in adaptive learning systems. Comput. Educ. 137: 91-103 (2019) - 2017
- [j4]Chloé Meredith, Wim van den Noortgate, Charlotte Struyve, Sarah Gielen, Eva Kyndt:
Information seeking in secondary schools: A multilevel network approach. Soc. Networks 50: 35-45 (2017) - 2016
- [j3]Mariola Moeyaert, Kelly Wauters, Piet Desmet, Wim van den Noortgate:
When Easy Becomes Boring and Difficult Becomes Frustrating: Disentangling the Effects of Item Difficulty Level and Person Proficiency on Learning and Motivation. Syst. 4(1): 14 (2016) - 2012
- [j2]Kelly Wauters, Piet Desmet, Wim van den Noortgate:
Item difficulty estimation: An auspicious collaboration between data and judgment. Comput. Educ. 58(4): 1183-1193 (2012) - 2011
- [c3]Kelly Wauters, Piet Desmet, Wim van den Noortgate:
Acquiring Item Difficulty Estimates: a Collaborative Effort of Data and Judgment. Nominee for Best Paper Award. EDM 2011: 121-128 - [c2]Kelly Wauters, Piet Desmet, Wim van den Noortgate:
Monitoring Learners' Proficiency: Weight Adaptation in the Elo Rating System. EDM 2011: 247-252 - 2010
- [j1]Kelly Wauters, Piet Desmet, Wim van den Noortgate:
Adaptive item-based learning environments based on the item response theory: possibilities and challenges. J. Comput. Assist. Learn. 26(6): 549-562 (2010)
2000 – 2009
- 2009
- [c1]Kelly Wauters, Wim van den Noortgate, Piet Desmet:
The Use of IRT for Adaptive Item Selection in Item-Based Learning Environments. AIED 2009: 785-786
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