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Disambiguation of "Diana, Nicholas"

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A framework for hypothesis-driven approaches to support data-driven learning analytics in measuring computational thinking in block-based programming.

, , , , , and . LAK, page 530-531. ACM, (2017)

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Mahmud Dianati

Marco Alberto Diana

Francesca Diana

Arezoo Dianat

Nicholas Kiefer

 

Other publications of authors with the same name

Teaching Informal Logical Fallacy Identification with a Cognitive Tutor., , and . EDM, International Educational Data Mining Society (IEDMS), (2017)Automatic Peer Tutor Matching: Data-Driven Methods to Enable New Opportunities for Help., , , , , and . EDM, International Educational Data Mining Society (IEDMS), (2017)Value-Adaptive Instruction: Improving the Productivity of Civil Discourse and Addressing Bias.. Carnegie Mellon University, USA, (2021)Debiasing Politically Motivated Reasoning with Value-Adaptive Instruction., , , and . AIED (1), volume 13355 of Lecture Notes in Computer Science, page 140-152. Springer, (2022)Predicting Bias in the Evaluation of Unlabeled Political Arguments., , and . CogSci, page 1640-1646. cognitivesciencesociety.org, (2019)Persuasion Invasion: An Educational Game for Teaching Productive Civil Discourse Skills.. Proc. ACM Hum. Comput. Interact., 6 (CHI): 1-24 (2022)A Framework for Using Hypothesis-Driven Approaches to Support Data-Driven Learning Analytics in Measuring Computational Thinking in Block-Based Programming Environments., , , , , and . ACM Trans. Comput. Educ., 17 (3): 14:1-14:25 (2017)Teaching Informal Logical Fallacy Identification with a Cognitive Tutor., , , and . AIED, volume 10331 of Lecture Notes in Computer Science, page 605-608. Springer, (2017)An Instructional Factors Analysis of an Online Logical Fallacy Tutoring System., , and . AIED (1), volume 10947 of Lecture Notes in Computer Science, page 86-97. Springer, (2018)Online Assessment of Belief Biases and Their Impact on the Acceptance of Fallacious Reasoning., , and . AIED (2), volume 11626 of Lecture Notes in Computer Science, page 62-66. Springer, (2019)