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Publication search results
found 63 matches
- 2023
- Weiwei Deng, Peihu Zhu, Han Chen, Tao Yuan, Ji Wu:
Knowledge-aware sequence modelling with deep learning for online course recommendation. Inf. Process. Manag. 60(4): 103377 (2023) - Zaher Kmail, Michelle Rabideau:
Using Final Letter Grades to Improve Institutional Course Sequence Recommendations. IEEE Trans. Educ. 66(6): 572-578 (2023) - 2022
- Mohammed Ibrahim Al-Twijri, José María Luna, Francisco Herrera, Sebastián Ventura:
Course Recommendation based on Sequences: An Evolutionary Search of Emerging Sequential Patterns. Cogn. Comput. 14(4): 1474-1495 (2022) - Akash Gupta, Amir Gharehgozli, Seung-Kuk Paik:
Optimising the number of course sections given optimal course sequence to support student retention. Int. J. Bus. Intell. Data Min. 21(4): 484-509 (2022) - Sylvio Rüdian, Niels Pinkwart:
Generating Sequences for Online Courses using a GAN based on a small Sample Set. ICALT 2022: 306-308 - Mikey Goldweber, Lisa C. Kaczmarczyk, Rick Blumenthal, Alison Clear, Johanna Blumenthal:
A Hands-On Tutorial on How To Incorporate Computing for Social Good in the Introductory Course Sequence. SIGCSE (2) 2022: 1039-1040 - 2021
- Heinz Ulrich Hoppe, Dorian Doberstein, Tobias Hecking:
Using Sequence Analysis to Determine the Well-Functioning of Small Groups in Large Online Courses. Int. J. Artif. Intell. Educ. 31(4): 680-699 (2021) - Sylvio Rüdian, Niels Pinkwart:
Finding the optimal topic sequence for online courses using SERPs as a Proxy. EDM 2021 - Juxiang Zhou, Xiaoyu Ma, Peipei Shan, Jun Wang:
Learning Path Recommendation Using Lesson Sequence and Learning Object based on Course Graph. ICETC 2021: 7-12 - 2020
- Beatriz A. González-Beltrán, Silvia B. González-Brambila, Lourdes Sánchez-Guerrero, Josué Figueroa González:
Analyzing Students' Performance in a Mathematics Course Sequence using Educational Data Mining. Res. Comput. Sci. 149(4): 93-105 (2020) - Qing Chen, Xuanwu Yue, Xavier Plantaz, Yuanzhe Chen, Conglei Shi, Ting-Chuen Pong, Huamin Qu:
ViSeq: Visual Analytics of Learning Sequence in Massive Open Online Courses. IEEE Trans. Vis. Comput. Graph. 26(3): 1622-1636 (2020) - Fahmida Hamid, Farzana Rashid:
Adjusting to the new normal: perspectives from an introductory programming sequence course. CSERC 2020: 13:1-13:2 - Changhua Zhao, Chunqiao Mi:
A Study on the Differences of Attitude Learning and Learning Behavior Sequences for University Computer MOOC+ SPOC Course. ICCSE 2020: 365-369 - Mikey Goldweber, Lisa C. Kaczmarczyk, Rick Blumenthal, Alison Clear:
A Hands-On Tutorial on How To Incorporate Computing for Social Good in the Introductory Course Sequence. SIGCSE 2020: 954-955 - Shuai Yuan, Huan Huang, Tingting He, Rui Hou:
Early Detecting the At-risk Students in Online Courses Based on Their Behavior Sequences. BDTA/WiCON 2020: 17-33 - Robert L. Peach, Sam F. Greenbury, Iain G. Johnston, Sophia N. Yaliraki, David Lefevre, Mauricio Barahona:
Data-driven modelling and characterisation of task completion sequences in online courses. CoRR abs/2007.07003 (2020) - 2019
- Jacqueline Wong, Mohammad Khalil, Martine Baars, Björn B. de Koning, Fred Paas:
Exploring sequences of learner activities in relation to self-regulated learning in a massive open online course. Comput. Educ. 140 (2019) - Niki Gitinabard, Tiffany Barnes, Sarah Heckman, Collin F. Lynch:
What will you do next? A sequence analysis on the student transitions between online platforms in blended courses. EDM 2019 - Astri Handayani, Agung Wahyu Setiawan, Widyawardana Adiprawita:
Development of an Integrated Laboratory Course Sequence on Biomedical Instrumentation and Signal Processing. ISCAS 2019: 1-5 - Asmaa Elbadrawy, George Karypis:
UPM: Discovering Course Enrollment Sequences Associated with Success. LAK 2019: 373-382 - Niki Gitinabard, Sarah Heckman, Tiffany Barnes, Collin F. Lynch:
What will you do next? A sequence analysis on the student transitions between online platforms in blended courses. CoRR abs/1905.00928 (2019) - 2018
- Chris Wong:
Sequence Based Course Recommender for Personalized Curriculum Planning. AIED (2) 2018: 531-534 - Christopher Krauss, Andreas Salzmann, Agathe Merceron:
Branched Learning Paths for the Recommendation of Personalized Sequences of Course Items. DeLFI Workshops 2018 - Ren Wang, Osmar R. Zaïane:
Sequence-Based Approaches to Course Recommender Systems. DEXA (1) 2018: 35-50 - 2017
- John E. Wisneski, Gamze Ozogul, Barbara A. Bichelmeyer:
Investigating the impact of learning environments on undergraduate students' academic performance in a prerequisite and post-requisite course sequence. Internet High. Educ. 32: 1-10 (2017) - Lin Wu, Michele Haynes, Andrew Smith, Tong Chen, Xue Li:
Generating Life Course Trajectory Sequences with Recurrent Neural Networks and Application to Early Detection of Social Disadvantage. ADMA 2017: 225-242 - Mihai Cucuringu, Charles Z. Marshak, Dillon Montag, M. Puck Rombach:
Rank Aggregation for Course Sequence Discovery. COMPLEX NETWORKS 2017: 139-150 - Dorian Doberstein, Tobias Hecking, Heinz Ulrich Hoppe:
Sequence Patterns in Small Group Work Within a Large Online Course. CRIWG 2017: 104-117 - Christian Murphy, Swapneel Sheth, Sydney Morton:
A Two-Course Sequence of Real Projects for Real Customers. SIGCSE 2017: 417-422 - 2016
- Jie Xu, Tianwei Xing, Mihaela van der Schaar:
Personalized Course Sequence Recommendations. IEEE Trans. Signal Process. 64(20): 5340-5352 (2016)
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