12月22日:Hasan Jamil
发布时间:2016-12-19 浏览量:5316

12月22日:Hasan Jamil:“How is my code?” An experiment with online grading system MindReader

 

报告题目: “How is my code?” An experiment with online grading system MindReader

报告人:Prof. Hasan Jamil

主持人:王长波

报告时间:12月22日上午10:00—11:30

报告地点:中北校区数学馆201

报告摘要:

Assessing student's outcome in CS and more broadly in computational thinking (CT), however, remains challenging because CT consists of a complex constellation of computationally-focused problem solving and design practices, and these inquiry-based practices are challenging to validly measure in traditional assessments. Of particular concern is that the theoretical, technical and pedagogical limitations for summative assessment abound and many recent studies point to alarming rates of early drop out in STEM subjects in traditional colleges (about 60% drop out and 55% never graduate) and the situation is more critical in online institutions and MOOCs initiatives (about 90% never complete). In other words, the online STEM education efforts are in real jeopardy unless novel solutions are found to help learners and improve retention. In this highly speculative research, we experiment with existing tools that were developed for purposes other than the purpose of summative assessment of computational thinking and point to exciting opportunities that exist for computational scientists to pursue.

报告人简介:

Prof. Hasan Jamil received his BS and MS degrees in Applied Physics and Electronics from the University of Dhaka, Bangladesh, in 1982 and 1984, respectively, and his Ph.D. in Computer Science from Concordia University, Canada, in 1996. His current research interests are in the areas of databases, bioinformatics, and knowledge representation. In particular, he is interested in the management and querying of interaction, pathway and gene expression data, and their applications in disease gene prioritization and unfolded protein response. Two of his recent research projects aim at developing higher level abstractions for analytics design for ecosystem services, and to understand computer programs written by first year college students. His research is primarily supported by NSF and NIH grants. Currently, he is an Associate Professor in the Department of Computer Science, University of Idaho. He was previously on the faculty of Macquarie University, Australia, Mississippi State University, and Wayne State University. He is also a member of the Association for Computing Machinery, ACM Special Interest Group on Management of Data, the Association for Logic Programming, the International Society for Computational Biology, and the IEEE.

 

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