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Supporting Computer Science Curriculum: Exploring and Learning Linked Lists with iList.

, , , , , and . IEEE Trans. Learn. Technol., 2 (2): 107-120 (2009)

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A Study of Analogy in Computer Science Tutorial Dialogues., , , , , and . CSEDU (2), page 232-237. SciTePress, (2015)Be Brief, And They Shall Learn: Generating Concise Language Feedback for a Computer Tutor., , , , and . Int. J. Artif. Intell. Educ., 18 (4): 317-345 (2008)Towards improving programming habits to create better computer science course outcomes., , , and . ITiCSE, page 243-248. ACM, (2013)Collaborative Intelligent Tutoring Systems: Comparing Learner Outcomes Across Varying Collaboration Feedback Strategies., , , and . CSCL, International Society of the Learning Sciences, (2017)Integrating Support for Collaboration in a Computer Science Intelligent Tutoring System., , , , and . ITS, volume 9684 of Lecture Notes in Computer Science, page 227-233. Springer, (2016)Unlimited Trace Tutor: Learning Code Tracing With Automatically Generated Programs., and . SIGCSE, page 427-433. ACM, (2020)Aggregation Improves Learning: Experiments in Natural Language Generation for Intelligent Tutoring Systems., , , , and . ACL, page 50-57. The Association for Computer Linguistics, (2005)A Hybrid Model for Teaching Recursion., , , , , and . SIGITE, page 65-70. ACM, (2015)I saw TREE trees in the park: How to Correct Real-Word Spelling Mistakes., and . LREC, European Language Resources Association, (2008)Enhancing an Intelligent Tutoring System to Support Student Collaboration: Effects on Learning and Behavior., , , and . AIED, volume 10331 of Lecture Notes in Computer Science, page 519-522. Springer, (2017)