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Laura Melissa Cruz Castro
Laura Melissa Cruz Castro
Dirección de correo verificada de ufl.edu
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Analyzing Students’ Computational Thinking Practices in a First-Year Engineering Course
L. M. C. Castro., A. J. Magana., K. A. Douglas., M. Boutin .
IEEE Access, 2021
222021
Click-based student performance prediction: a clustering guided meta-learning approach
YW Chu, E Tenorio, L Cruz, K Douglas, AS Lan, CG Brinton
2021 IEEE International Conference on Big Data (Big Data), 1389-1398, 2021
172021
Reflection types and students' viewing of feedback in a first‐year engineering course using standards‐based grading
HA Diefes‐Dux, LM Cruz Castro
Journal of Engineering Education 111 (2), 283-307, 2022
152022
Student reflection to improve access to standards-based grading feedback
HA Diefes-Dux, LMC Castro
2018 IEEE Frontiers in Education Conference (FIE), 1-9, 2018
152018
Mitigating biases in student performance prediction via attention-based personalized federated learning
YW Chu, S Hosseinalipour, E Tenorio, L Cruz, K Douglas, A Lan, ...
Proceedings of the 31st ACM International Conference on Information …, 2022
142022
Validation of an Instrument to Measure Student Engagement with a Standards Based Grading System
H Diefes-Dux, LM Cruz Castro
ASEE 2019, 2019
72019
Relationship between learning engagement metrics and learning outcomes in online engineering course
T Li, LMC Castro, K Douglas, CG Brinton
2021 IEEE Frontiers in Education Conference (FIE), 1-5, 2021
52021
Computational Thinking Frameworks used in Computational Thinking Assessment in Higher Education. A Systematized Literature Review.
L Cruz Castro, H Shoaib, K Douglas
ASEE Annual Conference, 2021
42021
Patterns of monthly student access to feedback by section in a large course using standards-based grading and reflection
HA Diefes-Dux, LMC Castro
8th Research in Engineering Education Symposium (REES 2019), 46, 2019
42019
Computational Thinking Frameworks used in Computational Thinking Assessment in Higher Education. A Systematized Literature Review.
LMC Castro, H Shoaib, KA Douglas
2021 ASEE Virtual Annual Conference Content Access, 2021
32021
Multi-layer personalized federated learning for mitigating biases in student predictive analytics
YW Chu, S Hosseinalipour, E Tenorio, L Cruz, K Douglas, A Lan, ...
arXiv preprint arXiv:2212.02985, 2022
22022
Predicting learning outcome in a first-year engineering course: a human-centered learning analytics approach
LC Castro, T Li, L Ciner, K Douglas, C Brinton
2022 ASEE Annual Conference & Exposition, 2022
22022
A metalearning approach to personalized automatic assessment of rectilinear sketches
LMC Castro, S Ray, HE Merzdorf, KA Douglas, T Hammond
2021 IEEE frontiers in education conference (FIE), 1-6, 2021
22021
Student access to feedback in a standards-based grading system
HA Diefes-Dux, LMC Castro
Proc. of the Research in Engineering Education Symposium, 2019
22019
Construction of a family socioeconomic index for the students who present the Saber 11 test
LMC Castro, F Ortiz, DF Lemus
Statistics on the Evaluation of Education 9 (1), 73-84, 2016
22016
Construcción de un índice socioeconómico familiar para los estudiantes que presentan la prueba Saber 11.
LMC Castro, F Ortiz, DFL Polanía
Comunicaciones en Estadística 9 (1), 79-92, 2016
12016
LEARNING ANALYTICS APPROACHES FOR DECISION-MAKING IN FIRST-YEAR ENGINEERING COURSES
LM Cruz
Purdue University Graduate School, 2023
2023
Nuestro Impacto: An Insider Look into the Connections between Our Past Experiences and Current Teaching and Mentoring Practices
IV Alarcón, LMC Castro, JA Mendoza-Garcia, E Latorre-Navarro, ...
2023 ASEE Annual Conference & Exposition, 2023
2023
Preference for debugging strategies and debugging tools and their relationship with course achievement: Preliminary results of a study involving novice programmers.
LMC Castro, JP Quintana-Cifuentes, A Kumar
2023 ASEE Annual Conference & Exposition, 2023
2023
Learning Analytics Approaches for Decision-Making in First-Year Engineering Courses
LMC Castro
Purdue University, 2023
2023
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Artículos 1–20