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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
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Yan Sun; Jamie Dyer; Jonathan Harris – Journal of Educational Computing Research, 2024
This study was grounded in the spatial computational thinking model developed by the "3D Weather" project funded by the NSF STEM+C program. The model reflects a discipline-based perspective towards computational thinking and captures the spatial nature of computational thinking in meteorology and the reliance of computational thinking on…
Descriptors: Teaching Methods, Science Instruction, Meteorology, Weather
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Liu, Chengyuan; Cui, Jialin; Shang, Ruixuan; Xiao, Yunkai; Jia, Qinjin; Gehringer, Edward – International Educational Data Mining Society, 2022
An online peer-assessment system typically allows students to give textual feedback to their peers, with the goal of helping the peers improve their work. The amount of help that students receive is highly dependent on the quality of the reviews. Previous studies have investigated using machine learning to detect characteristics of reviews (e.g.,…
Descriptors: Peer Evaluation, Feedback (Response), Computer Mediated Communication, Teaching Methods
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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
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Nurse, Anne M.; Staiger, Trish – Teaching Sociology, 2019
Data reproducibility is becoming increasingly important in the social sciences, but it has yet to be incorporated into many undergraduate sociology programs. This note describes a service-learning activity that can be added to an introductory statistics course. Students partner with a nonprofit and analyze quantitative data to answer questions…
Descriptors: Teaching Methods, Sociology, Undergraduate Students, Service Learning
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Eser, Mehmet Taha; Çobanoglu Aktan, Derya – International Journal of Educational Methodology, 2021
Science literacy, which is included in Programme for International Student Assessment (PISA) as an assessment area, is an important research and discussion area of science education literature with all its dimensions. In this study, the clustering results of the students from 34 Organization for Economic Cooperation and Development (OECD)…
Descriptors: Data Analysis, Learning Analytics, Science Education, Scores
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Girgin, Ufuk; Dinçer, Zeynep Ölçü – Journal on English Language Teaching, 2022
One of the inspirational forms of integrating technology into Second Language (L2) teaching is using 'corpora'. In this study, corpora were used to develop printed instructional materials to teach grammatical cohesive devices that are not sufficiently represented in L2 English course books. Specifically, the aim was to understand whether the…
Descriptors: Instructional Materials, English (Second Language), Second Language Learning, Second Language Instruction
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Fan, Tingting; Song, Jieqing; Guan, Zheshu – Language Testing in Asia, 2021
Currently, much research on cognitive diagnostic assessment (CDA) focuses on the development of statistical models estimating individual students' attribute profiles. However, little is known about how to communicate model-generated statistical results to stakeholders, and how to translate formatively diagnostic information into teaching…
Descriptors: Diagnostic Tests, Student Characteristics, Teaching Methods, Data Analysis
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Al-Haddad, Serina; Thorne, Betty; Ahmed, Vikram; Sause, William – Journal of Education for Business, 2019
Business analytics can be described as the statistical analysis of data to make decisions and meaningful conclusions. As the demand to advance the curriculum of undergraduate business education increases, courses in business analytics aim to provide students with fundamental skills in critical thinking. Educators have found that spreadsheet…
Descriptors: Case Studies, Computer Software, Teaching Methods, Data Analysis
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Dyer, Jamie O.; Elsenpeter, Ryan L. – Bioscene: Journal of College Biology Teaching, 2018
Numerous studies have examined the use of active learning methods in undergraduate courses, suggesting that these methods increase learning and retention as well as student engagement. In order to investigate the benefits of particular active learning assignments involving presentations of 3-dimensional simulations in an introductory biology…
Descriptors: Data Analysis, Active Learning, Assignments, Student Evaluation
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Larson, Benjamin E.; Bohler, Jeffrey A.; Krishnamoorthy, Anand – Journal of Information Technology Education: Innovations in Practice, 2021
Aim/Purpose: Business analytics is a cross-functional field that is important to implement for a college and has emerged as a critically important core component of the business curriculum. It is a difficult task due to scheduling concerns and limits to faculty and student resources. This paper describes the process of creating a central video…
Descriptors: Teaching Methods, Data Analysis, Business Administration Education, Undergraduate Students
Blagg, Kristin; Lukes, Marguerite – Urban Institute, 2022
More than a quarter of US children have at least one immigrant parent, but researchers and policymakers often do not have adequate data on these children's experiences in school, with far-reaching implications for instruction, student support services, and policy. Proxy factors that are reported by school--such as being designated as an English…
Descriptors: Data Analysis, Immigrants, Educational Policy, Educational Experience
NWEA, 2019
At Tamassee-Salem Elementary School in South Carolina, teacher Anna Durham likes to have data conferences with her third graders. She creates a simple graph of their MAP® Growth™ interim assessment scores with past and current scores, along with a future goal. She believes talking about goals--and how they will get there together--helps to engage…
Descriptors: Case Studies, Decision Making, Scores, Achievement Tests
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Lodzikowski, Kacper – Language Learning & Technology, 2021
This is the first paper that provides correlational evidence about how interacting with an online allophonic transcription tool helps learners of English as a Second Language (ESL) to improve their phonological awareness. The study investigates 55 advanced ESL learners at a Polish university enrolled in a course in English phonetics and phonology.…
Descriptors: Correlation, Phonological Awareness, Scores, Second Language Learning
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Saito, Tomohiro; Watanobe, Yutaka – International Journal of Distance Education Technologies, 2020
Programming education has recently received increased attention due to growing demand for programming and information technology skills. However, a lack of teaching materials and human resources presents a major challenge to meeting this demand. One way to compensate for a shortage of trained teachers is to use machine learning techniques to…
Descriptors: Programming, Computer Science Education, Electronic Learning, Instructional Materials
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