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- [41] Towards a Quantitative Competency Model for CS1 via Five-Channel Learning Sequences PROCEEDINGS OF THE 56TH ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION, SIGCSE TS 2025, VOL 2, 2025, : 367 - 373
- [42] Detecting ChatGPT-Generated Code Submissions in a CS1 Course Using Machine Learning Models PROCEEDINGS OF THE 55TH ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION, SIGCSE 2024, VOL. 1, 2024, : 526 - 532
- [43] Early performance prediction for CS1 course students using a combination of machine learning and an evolutionary algorithm 2019 IEEE 19TH INTERNATIONAL CONFERENCE ON ADVANCED LEARNING TECHNOLOGIES (ICALT 2019), 2019, : 183 - 184
- [44] Design of Activities for CS1: A Competences Oriented Approach (unpacking the Informed Design Teaching and Learning Matrix) PROCEEDINGS OF THE 2013 XXXIX LATIN AMERICAN COMPUTING CONFERENCE (CLEI), 2013,
- [45] Offering CS1 on-line reducing campus resource demand while improving the learning environment PROCEEDINGS OF THE THIRTY-SECOND SIGCSE TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION, 2001, 33 (01): : 342 - 346
- [47] Reproducing Predictive Learning Analytics in CS1: Toward Generalizable and Explainable Models for Enhancing Student Retention JOURNAL OF LEARNING ANALYTICS, 2024, 11 (01): : 132 - 150
- [48] A Recommender System Based on Effort: Towards Minimising Negative Affects and Maximising Achievement in CS1 Learning INTELLIGENT TUTORING SYSTEMS (ITS 2021), 2021, 12677 : 466 - 480
- [49] Who Attempts Optional Practice Problems in a CS1 Course? Exploring Learner Agency to Foster Mastery Learning PROCEEDINGS OF THE 54TH ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION, VOL 1, SIGCSE 2023, 2023, : 1055 - 1061
- [50] Write a Line: Tests with Answer Templates and String Completion Hints for Self-Learning in a CS1 Course 2022 ACM/IEEE 44TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING: SOFTWARE ENGINEERING EDUCATION AND TRAINING (ICSE-SEET 2022), 2022, : 265 - 276