Many K-12 CS education instructors are new to teaching computing and use block-based programming (BBP), allowing them and their students to learn computing concepts with less frustration. Based on prior work with inst...
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ISBN:
(纸本)9781728169019
Many K-12 CS education instructors are new to teaching computing and use block-based programming (BBP), allowing them and their students to learn computing concepts with less frustration. Based on prior work with instructors, we found that they need assistance with grading student projects as they are new to coding and developing corresponding assessments. Existing methods are either not intuitive and too restrictive for custom assignments, or tediously unnecessary. Additionally, providing a grading support tool will help increase adoption of our Advanced Placement Computer Science Principles curriculum. Therefore, we began developing a tool to assist teachers with grading BBP projects. This paper reports on a modified User Experience Research method, which we used to determine the critical and necessary features needed for the tool to allow teachers to successfully and efficiently assess BBP student artifacts.
With the global increase in demand for online tertiary education, teachers are facing unique challenges in scaling assessment activities and meaningful student engagement. One such aspect is contract cheating behaviou...
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ISBN:
(纸本)9781450371223
With the global increase in demand for online tertiary education, teachers are facing unique challenges in scaling assessment activities and meaningful student engagement. One such aspect is contract cheating behaviours exhibited in the modern online environment - posing a threat to the academic integrity of tertiary education. These obstacles amplify when applied to traditionally difficult domains like introductory programming education. Prior research on contract cheating identification proposes that while challenging, techniques such as developing strong teacher-student relationships, and real-time discussions may lead to instances of identifying contract cheating behaviours. The proposition, then, is to scale real-time, student-teacher discussions with large, online cohorts - similar to those discussions which traditionally took place in the classroom. This poster paper presents Intelligent Discussion Comments (IDCs): A scalable, teacher-asynchronous system which engages students in real-time discussions to extract authentic student understanding. Artificial intelligence services such as voice identification and transcription enrich the discussion process, supporting the teaching team in their decision-making process.
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