Identifying Students' Persistence Profiles in Problem Solving Task

Cristina E Dumdumaya; Michelle P Banawan; Ma. Mercedes T Rodrigo

Identifying Students' Persistence Profiles in Problem Solving Task

Cristina E Dumdumaya, Michelle P Banawan, Ma. Mercedes T Rodrigo

Ateneo de Manila University

Research output: Contribution to journal › Article › peer-review

Original language	American English
Journal	Department of Information Systems & Computer Science Faculty Publications
State	Published - Jul 1 2018

Keywords

Applied computing
Education
Computer-managed instruction

Disciplines

Computer Sciences

Access to Document

https://dl.acm.org/doi/10.1145/3213586.3225237

Cite this

@article{b2805e3cf4c641b8b3b6fd29b3272488,

title = "Identifying Students' Persistence Profiles in Problem Solving Task",

keywords = "Applied computing, Education, Computer-managed instruction",

author = "Dumdumaya, \{Cristina E\} and Banawan, \{Michelle P\} and Rodrigo, \{Ma. Mercedes T\}",

note = "Cristina E. Dumdumaya, Michelle P. Banawan, and Ma. Mercedes T. Rodrigo. 2018. Identifying Students{\textquoteright} Persistence Profiles in Problem Solving Task. In Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization (UMAP {\textquoteright}18). Association for Computing Machinery, New York, NY, USA, 281–286. DOI:https://doi.org/10.1145/3213586.3225237",

year = "2018",

month = jul,

day = "1",

language = "American English",

journal = "Department of Information Systems \& Computer Science Faculty Publications",

}

TY - JOUR

T1 - Identifying Students' Persistence Profiles in Problem Solving Task

AU - Dumdumaya, Cristina E

AU - Banawan, Michelle P

AU - Rodrigo, Ma. Mercedes T

N1 - Cristina E. Dumdumaya, Michelle P. Banawan, and Ma. Mercedes T. Rodrigo. 2018. Identifying Students’ Persistence Profiles in Problem Solving Task. In Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization (UMAP ’18). Association for Computing Machinery, New York, NY, USA, 281–286. DOI:https://doi.org/10.1145/3213586.3225237

PY - 2018/7/1

Y1 - 2018/7/1

KW - Applied computing

KW - Education

KW - Computer-managed instruction

UR - https://archium.ateneo.edu/discs-faculty-pubs/42

UR - https://dl.acm.org/doi/10.1145/3213586.3225237

M3 - Article

JO - Department of Information Systems & Computer Science Faculty Publications

JF - Department of Information Systems & Computer Science Faculty Publications

ER -

Identifying Students' Persistence Profiles in Problem Solving Task

Keywords

Disciplines

Access to Document

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Cite this