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Benito Ilich Suárez-Bedolla; Francisco Cervantes-Pérez; Beatriz Feijoó-Fernández – Open Praxis, 2024
A common diagnosis in the literature is that the writing of Spanish speakers is generally a structural problem. The writing of 81 university students was analysed by classifying the teacher's comments based on 11 variables that were recorded once during a continuous evaluation that supported the assessment. The techniques used were Content…
Descriptors: Spanish Speaking, College Students, Communication (Thought Transfer), Models
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Shi Pu; Yu Yan; Brandon Zhang – Journal of Educational Data Mining, 2024
We propose a novel model, Wide & Deep Item Response Theory (Wide & Deep IRT), to predict the correctness of students' responses to questions using historical clickstream data. This model combines the strengths of conventional Item Response Theory (IRT) models and Wide & Deep Learning for Recommender Systems. By leveraging clickstream…
Descriptors: Prediction, Success, Data Analysis, Learning Analytics
Cara E. Schwarz – ProQuest LLC, 2024
My thesis work is focused on conceptual and epistemic learning and characterizing the environments in which this learning takes place. Earlier studies conducted by the Stowe group explored how instructional practices, instructional emphasis, and assessment emphasis relate to student outcomes in general and organic chemistry courses. Student…
Descriptors: Chemistry, Science Instruction, Organic Chemistry, Epistemology