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Wong, Sarah Shi Hui; Lim, Stephen Wee Hun – Journal of Educational Psychology, 2022
Our civilization recognizes that errors can be valuable learning opportunities, but for decades, they have widely been avoided or, at best, allowed to occur as serendipitous accidents. The present research tested whether greater learning success could paradoxically be achieved through making errors by intentional design, relative to traditional…
Descriptors: Thinking Skills, Error Patterns, Error Correction, Learning Processes
Haldeman, Georgiana; Babes-Vroman Monica; Tjang, Andrew; Nguyen, Thu D. – ACM Transactions on Computing Education, 2021
Autograding systems are being increasingly deployed to meet the challenges of teaching programming at scale. Studies show that formative feedback can greatly help novices learn programming. This work extends an autograder, enabling it to provide formative feedback on programming assignment submissions. Our methodology starts with the design of a…
Descriptors: Student Evaluation, Feedback (Response), Grading, Automation
Allchin, Douglas – Science Education, 2012
Error in science is a prime occasion to teach the nature of science, especially the central feature of tentativeness. Error types also reflect corresponding methodologies of science, critical for practicing science and (in a context of scientific literacy) analyzing its claims. Effective efforts in teaching about error will ideally be informed by…
Descriptors: Science Instruction, Case Studies, Scientific Literacy, Scientific Principles

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