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Ping Zhao; Chunling Sun; Baojun Lv; Lan Guo; Jiansheng Gao; Xin Zhao; Fengming Jiao – International Journal of Information and Communication Technology Education, 2024
This paper discusses the application value of the writing teaching mode combined with the mixed teaching mode in college English writing teaching against the background of big data. Focusing on production-oriented approach (POA) theory, this paper proposes a mixed learning writing model for English teaching and applies the POA mixed learning…
Descriptors: Writing Instruction, Blended Learning, Data Analysis, Data Collection
Carlton J. Fong; Zohreh Fathi; Semilore F. Adelugba; Agustín J. García; Melissa Garza; Giovanna Lorenzi Pinto – Social Psychology of Education: An International Journal, 2025
Recent insights have underscored the role of context in cultivating intelligence mindsets' influence on students' academic outcomes. Psychological affordances of the social context may encourage an adaptive perspective (i.e., growth mindset). Expanding this novel area of investigation, we examined how students' sense of belonging, as an affordance…
Descriptors: First Generation College Students, Community College Students, Social Environment, Disproportionate Representation
Nirmal Ghimire; Kouider Mokhtari – AERA Online Paper Repository, 2024
This study examined the predictive power of students' demographic characteristics, reading attitudes, school characteristics, and teacher-informed reading activities on three metacognitive reading skills: understanding and remembering, summarizing, and assessing credibility and their influence on 15-year-old students' reading scores. The dataset…
Descriptors: Foreign Countries, Achievement Tests, International Assessment, Secondary School Students
Johnson, Jillian C.; Olney, Andrew M. – International Educational Data Mining Society, 2022
Typical data science instruction uses generic datasets like survival rates on the Titanic, which may not be motivating for students. Will introducing real-life data science problems fill this motivational deficit? To analyze this question, we contrasted learning with generic datasets and artificial problems (Phase 1) with a community-sourced…
Descriptors: Data, Data Analysis, Interdisciplinary Approach, Student Motivation
Salvatore Robert D'Angelo – ProQuest LLC, 2024
My dissertation studies the relationship between counseling and violence within U.S. schools. Much of the research on school security and school safety tends to lean heavily on routine activities theory and other opportunity theories, which limits the study of other factors critically relevant to this topic such as school climate. This…
Descriptors: School Safety, School Counseling, Educational Environment, School Violence
Heinzman, Erica – Statistics Education Research Journal, 2022
Many important voices--including The National Council for Teachers of Mathematics (NCTM), the Dana Center's Launch Years initiative, and others--advocate for expanding the traditional course offerings in high school mathematics and statistics to include courses such as the Introduction to Data Science (IDS). To date, the research on the IDS course…
Descriptors: High School Students, Student Experience, Student Attitudes, Self Efficacy
Bader Muteb Alsulami; Abdullah Baihan; Ahed Abugabah – Cogent Education, 2024
The COVID-19 pandemic precipitated an abrupt transition to online learning, impacting students with disabilities uniquely. This study examines the experiences of 62 such students in the new educational paradigm, employing a mixed-methods approach. Quantitative data were collected through surveys and questionnaires to assess privacy and security…
Descriptors: Students with Disabilities, Inclusion, Artificial Intelligence, Computer Security
Nadia Ahmad; Hirok Chakraborty; Ratnesh Sinha – Cogent Education, 2024
Background: Artificial Intelligence (AI) has immense potential varying from diagnosing, decision-making in-patient care, and education. To successfully integrate AI into medicine and medical education, it is important to know the outlook and willingness of medical students. This study was done to learn about the medical students opinions about it…
Descriptors: Medical Students, Student Attitudes, Artificial Intelligence, Medical Education
John Zhou; Alena Moon – Journal of Chemical Education, 2023
There has been extensive work within chemistry education research to characterize organic chemistry students' engagement in key science practices like "constructing explanations" and "engaging in argument from evidence". Less has been done to consider how organic chemistry students interact with empirical data, outside of…
Descriptors: College Students, Student Attitudes, Organic Chemistry, Scaffolding (Teaching Technique)
Bailey, Judy; Cowie, Bronwen; Cooper, Beverley – Australian Journal of Teacher Education, 2020
Mathematical and statistical thinking is involved across the breadth of people's home and work life and leisure activities. This paper reports on an aspect of a project that aimed to develop preservice teacher awareness of the mathematical and statistical thinking required across the breadth of primary teachers' professional role. This thinking is…
Descriptors: Preservice Teachers, Knowledge Level, Mathematics Skills, Thinking Skills
Hushman, Glenn Foster; Hushman, Carolyn J.; Gaudreault, Karen Lux – AERA Online Paper Repository, 2019
Lawson (1983a) offered that an individuals' experiences as students in schools are significant in shaping their views of teaching. Pajares (1992) argued that a teacher's perceptions of the classroom are a product of their experiences as students. The purpose of this study was to examine the relationship between physical education (PE) pre-service…
Descriptors: Physical Education Teachers, Preservice Teachers, Student Attitudes, Student Evaluation
Kym Fry; Lyn English; Katie Makar – Mathematics Education Research Journal, 2024
The teaching and learning of statistical thinking begins at a young age in Australia, with a focus on data representation and interpretation from Foundation Year (age 5), and the collection, sorting and categorising of items from the natural environment starting even earlier. The intangible concept of "data," as part of statistical…
Descriptors: STEM Education, Foreign Countries, Student Attitudes, Grade 4
Elma Hajric – ProQuest LLC, 2024
Smart cities surveil through ubiquitous and intrusive data collection via networked sensors. Smart city efforts are also frequently imagined as primarily top-down and male visions of the future in service of economic benefit. The smart campus presents a new dimension of smart city urbanism as an identified gap in literature. In the following…
Descriptors: Research Universities, Campuses, Information Technology, Design
Thomas M. Kirnbauer – ProQuest LLC, 2021
This dissertation's two primary purposes were to construct an alternative socioeconomic status model and estimate how it predicts student success in higher education. This research filled a gap in knowledge about the widely acknowledged disparities in higher education based on socioeconomic status. Prior research has often relied on parental…
Descriptors: Models, Predictor Variables, Socioeconomic Status, Academic Achievement
Cobern, William W.; Adams, Betty A. J.; Pleasants, Brandy A.-S.; Bentley, Andrew; Kagumba, Robert – Science & Education, 2022
Science includes the fundamental attributes of durability and uncertainty; hence, we teach about the "tentative yet durable" nature of science. Public discourse can be different, where one hears both confidence about "settled science" and doubts about "just theories." The latter observation gives rise to the…
Descriptors: Preservice Teachers, Middle School Teachers, Elementary School Teachers, Student Attitudes