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Nathan Jones; Lindsey Kaler; Jessica Markham; Josefina Senese; Marcus A. Winters – Educational Researcher, 2025
Students with and without disabilities may be educated across various service delivery models (SDMs): general education, cotaught, pull-out, and self-contained. Still, evidence for their relative effectiveness at scale remains limited. Using longitudinal administrative data from Indiana, we measured the effect of different SDMs on test scores,…
Descriptors: Students with Disabilities, Teaching Methods, Students, Instructional Effectiveness
Georgia Zempila; Stelios Xinogalos – Discover Education, 2025
The Internet is nowadays an integral part of adolescents' everyday life, bringing several benefits but risks as well. Although adolescents are familiar with technology, there seems to be a gap in their knowledge in safety and data protection on the Internet. So it is clear that adolescents have to be educated on relevant issues and serious games…
Descriptors: Educational Games, Teaching Methods, Internet, Information Security
Sarafoglou, Alexandra; van der Heijden, Anna; Draws, Tim; Cornelisse, Joran; Wagenmakers, Eric-Jan; Marsman, Maarten – Psychology Learning and Teaching, 2022
Current developments in the statistics community suggest that modern statistics education should be structured holistically, that is, by allowing students to work with real data and to answer concrete statistical questions, but also by educating them about alternative frameworks, such as Bayesian inference. In this article, we describe how we…
Descriptors: Bayesian Statistics, Thinking Skills, Undergraduate Students, Psychology
Pedagogy of Teaching with Large Datasets: Designing and Implementing Effective Data-Based Activities
O'Reilly, Catherine M.; Josek, Tanya; Darner, Rebekka D.; Fortner, Sarah K. – Biochemistry and Molecular Biology Education, 2022
Integrating the use of large datasets into our teaching provides critical and unique opportunities to build students' skills and conceptual knowledge. Here, we discuss the core components needed to develop effective activities based on large datasets, which align with the 5E learning cycle. Data-based activities should be structured around a…
Descriptors: Instructional Design, Learning Activities, Data Analysis, Computer Software
Caitlin Diane Hogue – ProQuest LLC, 2022
Teachers in the United States are increasingly tasked with using data to inform their classroom instruction both through federal policies, such as the Every Student Succeeds Act (ESSA, 2016), and state policies requiring the use of teacher-determined data-driven goals for performance evaluations (MA 603 CMR 35.07). Many teachers, however, report…
Descriptors: Data Use, Measures (Individuals), Teaching Methods, Federal Legislation
Tytler, Russell; Ferguson, Joseph; White, Peta – Learning: Research and Practice, 2020
Increasingly, learning in science and mathematics is considered in terms of induction into the multimodal language practices of the disciplinary community. A strong strand of research in this tradition has involved students being challenged to invent multimodal language forms, and their ideas refined through structured guidance. Often, however,…
Descriptors: Science Instruction, Mathematics Instruction, Inquiry, Teaching Methods
Kuz'mina, Evelina V.; P'yankova, Nina G.; Tret'yakova, Natal'ya V.; Botsoeva, Anna V. – European Journal of Contemporary Education, 2020
This paper addresses the topical issue of searching for optimum technology for fostering professional competencies in a target audience of business informatics students. The authors discuss the relevance of using the competency-based approach in the context of pedagogical goalsetting. The work describes the key stages in a study that involved…
Descriptors: Data Analysis, Competency Based Education, Information Science Education, Career Readiness
Bertrand Schneider; Joseph Reilly; Iulian Radu – Journal for STEM Education Research, 2020
In an increasingly data-driven world, large volumes of fine-grained data are infiltrating all aspects of our lives. The world of education is no exception to this phenomenon: in classrooms, we are witnessing an increasing amount of information being collected on learners and teachers. Because educational practitioners have so much contextual and…
Descriptors: Learning Analytics, Classroom Techniques, Multimedia Materials, Graduate Students
Stache, Lara C. – Communication Teacher, 2023
Utilizing popular murder-mystery texts that transcend boundaries of race, class, age, and sex, students apply Toulmin's 1958 concept of claim, data, warrant (Toulmin, S. E. 2003. The uses of argument. Cambridge University Press). Ultimately, students engage in an activity that demonstrates how argumentation plays a role outside of the college…
Descriptors: Teaching Methods, Identification, Persuasive Discourse, Learning Activities
Noll, Jennifer; Tackett, Maria – Teaching Statistics: An International Journal for Teachers, 2023
As the field of data science evolves with advancing technology and methods for working with data, so do the opportunities for re-conceptualizing how we teach undergraduate statistics and data science courses for majors and non-majors alike. In this paper, we focus on three crucial components for this re-conceptualization: Developing research…
Descriptors: Undergraduate Students, Statistics Education, Data Science, Teaching Methods
Bianca Croutch – ProQuest LLC, 2023
U.S. middle school teachers have struggled to meet the instructional needs of students in the area of mathematics. Teachers' approaches to assessment and instructional strategies remain understudied; such knowledge could help educational leaders to devise strategies to boost student achievement. The purpose of this qualitative study was to examine…
Descriptors: Mathematics Teachers, Middle School Teachers, Teacher Attitudes, Mathematics Instruction
Davies, Neville; Sheldon, Neil – Teaching Statistics: An International Journal for Teachers, 2021
In 2003, Holmes [The Statistician 52, Part 4, (2003), 439-474] reviewed 50 years of teaching statistics in English schools and drew out many lessons for more effective teaching. We consider the current relevance of several of these lessons and whether we have learned from them. Many national reports have been published about teaching statistics…
Descriptors: Statistics Education, Data Analysis, Interdisciplinary Approach, Foreign Countries
Lewis, Norman P. – Journalism and Mass Communication Educator, 2021
A thematic evaluation of data journalism courses resulted in a typology that parses the field and offers guidance to educators. At the center is pattern detection, preceded by data acquisition and cleaning, and followed by data representation. The typology advances academic understanding by offering a precise conceptualization that distinguishes…
Descriptors: Data Analysis, Journalism Education, Classification, Audiences
Leif Sundberg; Jonny Holmström – Journal of Information Systems Education, 2024
With recent advances in artificial intelligence (AI), machine learning (ML) has been identified as particularly useful for organizations seeking to create value from data. However, as ML is commonly associated with technical professions, such as computer science and engineering, incorporating training in the use of ML into non-technical…
Descriptors: Artificial Intelligence, Conventional Instruction, Data Collection, Models
Genady Kogan; Hadas Chassidim; Irina Rabaev – Educational Technology Research and Development, 2024
The main goal of this study was to evaluate the impact of an animation and visualization of data structures (AVDS) tool on both perceptions and objective test performance. The study involved a rigorous experiment that assessed the usability, acceptability, and effectiveness of the AVDS tool in solving exercises. A total of 78 participants…
Descriptors: Animation, Teaching Methods, Instructional Effectiveness, Learning Experience

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