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Dray, Kate E.; Dreyer, Kathleen S.; Lucks, Julius B.; Leonard, Joshua N. – Chemical Engineering Education, 2023
We present an educational unit to teach computational modeling, a vital part of chemical engineering curricula, through the lens of synthetic biology. Lectures, code, and homework questions provide conceptual and practical introductions to each computational method involved in the model development process, along with perspectives on how methods…
Descriptors: Engineering Education, Chemical Engineering, Teaching Methods, Units of Study
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
Hua, Amy K.; Lakey, Pascale S. J.; Shiraiwa, Manabu – Journal of Chemical Education, 2022
This paper presents MATLAB user interfaces for two multiphase kinetic models: the kinetic double-layer model of aerosol surface chemistry and gas--particle interactions (K2-SURF) and the kinetic multilayer model of aerosol surface and bulk chemistry (KM-SUB). Each interface has simple and user-friendly features that allow undergraduate and…
Descriptors: Chemistry, Science Instruction, Computer Interfaces, Kinetics
Aliu, Arta; Rexhepi, Shpetim; Iseni, Egzona – Mathematics Teaching Research Journal, 2021
In this paper, a simple and multiple linear regression model has been developed to analyze and compare math test results of two student groups in the medical high school "Rezonanca", more precisely the students of the two tenth grades in the subject of mathematics of classes X- 3 and X - 7. This paper also presents some exam exercises,…
Descriptors: Mathematics Education, Regression (Statistics), Models, Homework
Xu, Jianzhong; Corno, Lyn – Metacognition and Learning, 2022
Informed by two theoretical models of homework effects, we extended a model of homework on mathematics achievement in a large sample of Chinese eighth graders. Our model incorporated six clusters of homework variables -- student background factors, homework characteristics, teacher variables, parent variables, student motivation, and homework…
Descriptors: Models, Homework, Hierarchical Linear Modeling, Foreign Countries
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
Sengul, Fatma; Bensen Bostanci, Hanife – Journal of Educational Psychology - Propositos y Representaciones, 2021
A flipped classroom model is an indispensable part of the English as a foreign language (EFL) writing courses as it helps the instructor to advance the learners' writing proficiency levels (Pavanelli, 2018). However, EFL students' attitudes toward the in-class and out-of-class writing models in a flipped classroom process are unknown.…
Descriptors: Flipped Classroom, Models, English (Second Language), Second Language Learning
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
Li, Ni; Warter-Perez, Nancy; Shen, He – Grantee Submission, 2019
Homework is considered as a substantial process of learning especially for engineering education. However, due to the fast development of network technology, students now can easily find solution manuals on the internet. While some students use solution manuals to study, there are quite a few students who just copy homework solutions and lose…
Descriptors: Self Evaluation (Individuals), Homework, Error Correction, Models
Dorko, Allison – International Journal of Research in Undergraduate Mathematics Education, 2020
In many university mathematics courses, homework accounts for the majority of students' interaction with mathematics content. However, we know little about students' activity as they complete homework. This paper presents an empirically-based model of students' activity as they complete an online homework assignment. I developed the model based on…
Descriptors: Models, Learner Engagement, Electronic Learning, Online Courses
Felker, Zachary; Chen, Zhongzhou – Physical Review Physics Education Research, 2023
We examine the effectiveness of a planning prompt intervention to reduce procrastination on online homework for college students. The intervention asked students to indicate their intention to earn small amounts of extra credit for completing assignments earlier and form a plan to realize their intentions. Students' learning behavior is measured…
Descriptors: Physics, Science Instruction, Introductory Courses, Homework
Barnard, Marie; Dehon, Erin; Compretta, Caroline; Notebaert, Andrew; Sparkmon, Wesley; Meyer, Edgar; Stray, Stephen; Taylor, Juanyce; Sullivan, Donna; Rockhold, Robin – Educational Technology Research and Development, 2020
Many professional development programs aim to improve student outcomes by enhancing teacher competencies. Effective evaluation of these programs requires a clear delineation of the competencies to be gained. A competency model was developed to evaluate the impact of a teacher professional program that aimed to improve teachers' ability to…
Descriptors: Competence, Models, Evaluation Methods, High School Teachers
Waterkamp, Dietmar – International Dialogues on Education: Past and Present, 2020
What we are doing to continue learning during the current pandemic is not so much an experiment as a reaction. Given the rush to provide schooling for children and young people, helpful terms such as "distance learning", "online schooling" and "homework" are mentioned. The author notes that both educators and…
Descriptors: Foreign Countries, COVID-19, Pandemics, Distance Education
Flunger, Barbara; Trautwein, Ulrich; Nagengast, Benjamin; Lüdtke, Oliver; Niggli, Alois; Schnyder, Inge – Journal of Experimental Education, 2021
The present study illustrates the utility of applying multilevel mixture models in educational research, using data on the homework behavior of 1,812 Swiss eighth-grade students in French as a second language. A previous person-centered study identified 5 homework learning types characterized by different patterns of high or low homework time and…
Descriptors: Foreign Countries, Middle School Students, Grade 8, Multivariate Analysis
Yu, L. C.; Lee, C. W.; Pan, H. I.; Chou, C. Y.; Chao, P. Y.; Chen, Z. H.; Tseng, S. F.; Chan, C. L.; Lai, K. R. – Journal of Computer Assisted Learning, 2018
This study presents a model for the early identification of students who are likely to fail in an academic course. To enhance predictive accuracy, sentiment analysis is used to identify affective information from text-based self-evaluated comments written by students. Experimental results demonstrated that adding extracted sentiment information…
Descriptors: Prediction, Academic Failure, Models, Identification