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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dinh Thi Dong Phuong Harada, F. Shimakawa, H. |
| Copyright Year | 2013 |
| Description | Author affiliation: Coll. of Inf. Sci. & Eng., Ritsumeikan Univ., Kusatsu, Japan (Dinh Thi Dong Phuong; Harada, F.; Shimakawa, H.) |
| Abstract | Estimation of motivation and learning strategy of students is crucial for a teacher to engage them in programming. Let us consider a persona, which is a virtual student representing a student group similar in motivation and learning strategy to learn programming. Personas enable the teacher to predict student behavior during the programming education course. The paper proposes a method to figure out the weight each student belongs to a specific persona. It assumes students in a persona take similar learning behavior, even in different years. To determine how strongly each student learning in the current programming course belongs to a specific persona, it examines the similarity of her learning portfolio to that of past students. It decomposes a matrix of each student portfolio into the product of 2 matrices; a matrix representing the weight of each student belonging to every persona and a matrix of persona learning behavior, using the nonnegative-matrix factorization. This paper illustrates the method to figure out the matrices effectively. |
| Starting Page | 221 |
| Ending Page | 226 |
| File Size | 359571 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781467359634 |
| DOI | 10.1109/R10-HTC.2013.6669045 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-08-26 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Context Motivation Persona non-negative matrix approximation Portfolio Programming course Matrix decomposition Indexes Learning strategy Interviews Portfolios Programming profession |
| Content Type | Text |
| Resource Type | Article |
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