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Luping Wang; Yun Hao; Shanshan Wang – Discover Education, 2025
In the traditional teaching mode, it is difficult for teachers to have a comprehensive understanding of each student's study, and it is also hard for them to provide targeted guidance and assistance. With the development of data collection and analysis technology, schools and educational institutions can make better use of big data technology to…
Descriptors: College Students, Predictor Variables, Scores, Academic Achievement
Yusha Lv; Xiaoli Wang; Xuemei Zhang; Juan Li – PRIMUS, 2024
This paper first analyzed the shortcomings of the summative final exam methods which focuses only on final exams. Then, we showed the specific implementation of the quantitative formative assessment which includes objective results and subjective scores. Objective results include the traditional written chapter test score, online mid-term and…
Descriptors: Mathematics Tests, Formative Evaluation, Scores, Student Evaluation
Lukas Boser; Kaspar Staub – Paedagogica Historica: International Journal of the History of Education, 2024
Outbreaks of respiratory infections have impact on schools. The present article draws upon sources from the school archives of the former teachers' seminary Muristalden in the city of Bern in Switzerland. The aim is to ascertain how the various pandemic waves 1918/1919 affected school operations and the people living at Muristalden. During the…
Descriptors: Foreign Countries, Communicable Diseases, Pandemics, Educational History
Anna Hawrot; Lena Nusser – Scandinavian Journal of Educational Research, 2025
This study investigated whether various aspects of the home learning environment -- that is, learning-related processes, parental perceptions of their child, and structural characteristics -- predicted private tutoring attendance in Grade 8. We used the data of 7393 students from the German National Educational Panel Study. Seventeen percent of…
Descriptors: Family Environment, Educational Environment, Tutoring, Private Education
Daniel Gertner; Allie Brashears; Na Xu; Holly Porter-Morgan – Journal of College Science Teaching, 2024
Gateway science courses are an ongoing obstacle to recruitment into STEM fields (Science, Technology, Engineering, and Mathematics). Students come into courses that have a high cognitive load, which makes success in the course challenging. Instructional design can be used to reduce cognitive load. The findings demonstrate that leveraging pre- and…
Descriptors: Community College Students, STEM Education, Biology, Science Instruction
Joseph A. Kitchen; Nicholas A. Bowman; Ralitsa Todorova; Lauren N. Irwin; Zoë B. Corwin – Research in Higher Education, 2024
Recent reports show that low-income students make up a significant share of those participating in higher education, and their well-being constitutes a key factor that influences their college success. This mixed-methods study examined first-year, low-income students' time use and its relationship to well-being framed by an equity-oriented lens…
Descriptors: Low Income Students, Student Attitudes, Socialization, Well Being
David Contreras – Education Economics, 2024
This paper examines the presence of systematic differences in teachers' grading behaviour across gender and whether these can be attributed to teacher bias. This study measures these differences by comparing teachers' grades with national exams, which are externally and anonymously marked. Consistent with the literature, the gender gap in teacher…
Descriptors: Gender Differences, Grading, Gender Bias, Student Behavior
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
Venkatesh, Anil; Piercey, Victor – PRIMUS, 2021
Quantitative Reasoning for Professionals is a two-semester general education sequence that teaches basic and intermediate algebra through the lens of quantitative reasoning. In this course sequence, we emphasize communication and inference-making while teaching practical algebra skills for students in programs such as business, nursing, and social…
Descriptors: Mathematics Instruction, College Mathematics, Inquiry, Grading
Nemeth, Amanda; Wheatley, Christopher; Stewart, John – Physical Review Physics Education Research, 2023
This study examines high school preparation measures [ACT/SAT scores, high school grade point average (HSGPA), and conceptual physics pretest scores], in-class behavior measures (homework submission rates and lecture attendance rates), and in-class achievement measures (homework and test averages) for the last two fully face-to-face prepandemic…
Descriptors: Comparative Analysis, Undergraduate Students, COVID-19, Pandemics
Aydogdu, Seyhmus – Education and Information Technologies, 2020
Prediction of student performance is one of the most important subjects of educational data mining. Artificial neural networks are seen to be an effective tool in predicting student performance in e-learning environments. In the studies carried out with artificial neural networks, performance predictions based on student scores are generally made,…
Descriptors: Prediction, Academic Achievement, Electronic Learning, Artificial Intelligence
Epstein, Joyce L.; Mac Iver, Douglas J.; Mac Iver, Martha A.; Sheldon, Steven B. – Middle School Journal, 2021
Middle grades teachers want early adolescents to take responsibility for their own learning and success in school. One way to encourage this is with "interactive homework," which enables students to lead conversations with a parent or family partner about something interesting they are learning in class. An exploratory study tested…
Descriptors: Middle School Students, High School Students, Grade 8, Grade 9
Epstein, Joyce L.; Mac Iver, Douglas J.; Mac Iver, Martha A.; Sheldon, Steven B. – Grantee Submission, 2021
Middle grades teachers want early adolescents to take responsibility for their own learning and success in school. One way to encourage this is with "interactive homework," which enables students to lead conversations with a parent or family partner about something interesting they are learning in class. An exploratory study tested…
Descriptors: Middle School Students, High School Students, Grade 8, Grade 9
Holly Kurtz; Sterling Lloyd; Alex Harwin; Sarah Cheseldine – Editorial Projects in Education, 2023
School and district administrators play a key role in identifying strategies that can support students dealing with mental health challenges. The EdWeek Research Center surveyed these educational leaders and high school students to learn more about their perspectives on the role of social media, absenteeism, and other factors in students'…
Descriptors: Mental Disorders, Social Media, Attendance, Well Being
Ogresta, Jelena; Rezo, Ines; Kožljan, Petra; Paré, Marie-Hélène; Ajdukovic, Marina – Youth & Society, 2021
We assessed how high school dropouts in Croatia interpret their school experiences and life circumstances, using semi-structured interviews of 20 young people, M (SD) = 18.4 (1.23) years, 63.6% male, based on questions following a chronological life course from elementary to high school. Using qualitative content analysis and cluster analysis, we…
Descriptors: Dropouts, Student Experience, Elementary Secondary Education, Low Achievement