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Prihar, Ethan; Vanacore, Kirk; Sales, Adam; Heffernan, Neil – International Educational Data Mining Society, 2023
There is a growing need to empirically evaluate the quality of online instructional interventions at scale. In response, some online learning platforms have begun to implement rapid A/B testing of instructional interventions. In these scenarios, students participate in series of randomized experiments that evaluate problem-level interventions in…
Descriptors: Electronic Learning, Intervention, Instructional Effectiveness, Data Collection
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Samudre, Mark D.; Allday, R. Allan; Lane, Justin D. – Education and Treatment of Children, 2022
The purpose of this study was to evaluate the use of behavioral skills training (BST) that included video vignettes used for modeling and rehearsal to train preservice general educators how to collect accurate antecedent-behavior-consequence (ABC) data using a structured recording format. The effectiveness of the intervention was evaluated within…
Descriptors: Preservice Teachers, Teacher Education, Data Collection, Student Behavior
Region 1 Comprehensive Center, 2025
Although the COVID-19 pandemic required schools and districts to quickly pivot to a remote and hybrid learning system of education, some stakeholders benefited in this new model of learning. Through this project, R1CC supported two district teams in self-identifying remote and hybrid learning strategies and integrating those strategies more…
Descriptors: State Departments of Education, School Districts, Distance Education, Blended Learning
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Saba Sareminia; Vida Mohammadi Dehcheshmeh – International Journal of Information and Learning Technology, 2024
Purpose: Although E-learning has been in use for over two decades, running parallel to traditional learning systems, it has gained increased attention due to its vital role in universities in the wake of the COVID-19 pandemic. The primary challenge within E-learning pertains to the maintenance of sustainable effectiveness and the assurance of…
Descriptors: Educational Improvement, Electronic Learning, Personality Traits, Models
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Tidwell, Will; Anhalt, Cynthia Oropesa; Cortez, Ricardo; Kohler, Brynja R. – PRIMUS, 2023
This article presents a mathematical modeling activity for students related to the process of memorization in which students collect their own data to drive their model development, parameterization, and validation. Engaging in the data collection gives them insight to critique and evaluate various models. This task is a low-floor high ceiling…
Descriptors: Mathematical Models, Memorization, Data Collection, Mathematics Activities
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Teng Teng – European Journal of Education, 2025
The application of big data in education sparks debates on its effects. Researchers explore its impact on learning outcomes, with divergent views on neural networks' potential and negative consequences. This study assesses big data's influence on basic literacy skills in music education for 5th graders. Using clustering and k-density analyses,…
Descriptors: Elementary School Students, Music Education, Data Analysis, Data Collection
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Hongyan Xi; Dongyan Sang – International Journal of Information and Communication Technology Education, 2024
By using modern data analysis techniques, this study aims to construct an innovative university English teaching effectiveness evaluation model based on particle swarm algorithm and support vector machine. The model is designed to improve assessment accuracy and personalization. The research process includes the methodology of data collection,…
Descriptors: Foreign Countries, English (Second Language), Second Language Instruction, Higher Education
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Chinchanachokchai, Sydney; McKelvey, James – Marketing Education Review, 2023
Technology continues to change and improve the marketing profession. Marketing research technologies such as eye-tracking and facial expression analysis allow marketers to gain more insights into consumer behaviors. Recently, these technologies have become more affordable and applicable in the classroom learning environment. A very recent addition…
Descriptors: Teaching Methods, Business Administration Education, Marketing, Eye Movements
Hamayan, Else; Marler, Barbara; Sánchez-López, Cristina; Alfredo, Artiles; Damico, Jack – Brookes Publishing Company, 2023
Multilingual learners in Grades K-12 are often overidentified or underidentified for special education. The third edition of this groundbreaking text offers a better way to meet the needs of multilingual learners: by creating a culturally and linguistically responsive multi-tiered system of support (MTSS) and implementing a continuum of services…
Descriptors: Elementary Secondary Education, Multilingualism, Multi Tiered Systems of Support, Student Needs
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Celia Gleason; Scott Strother; Nancy Tiên; Rosalind Owen – Society for Research on Educational Effectiveness, 2023
Introduction: The proposed poster will describe the observational data collection methodology and preliminary findings from a large-scale efficacy study examining a corequisite mathematics intervention at the community college level. Specifically, the larger study is conducting a randomized controlled trial of the Carnegie Math Pathways (CMP)…
Descriptors: Data Collection, Research Methodology, College Mathematics, Community Colleges
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Bolick, Madeleine M.; Mikhailova, Elena A.; Post, Christopher J. – Education Sciences, 2022
The use of unmanned aerial vehicles (UAVs) has increased in the science, technology, engineering, and mathematics (STEM) professions. This means there is a growing need to integrate UAV training into STEM education. This study aimed to develop and evaluate a UAV education module and laboratory exercise for natural resource science students. The…
Descriptors: Instructional Innovation, STEM Education, Aviation Technology, Electronic Learning
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Knight, Jim; Faggella-Luby, Michael – Learning Professional, 2022
Data is so deeply woven into the fabric of people's lives that it is next to impossible to imagine what a data-free life would be like. But despite the centrality of data in everyone's personal lives, when people talk about data in schools, their comments are often negative. The authors of this article believe "data" should not be a…
Descriptors: Coaching (Performance), Teacher Effectiveness, Instructional Effectiveness, Data Use
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Floress, Margaret T.; Zoder-Martell, Kimberly A.; Beaudoin, Melissa M.; Yehling, Zachary R. – Preventing School Failure, 2021
Few studies have examined teachers' natural use of praise and reprimand in the absence of training, possibly due to the challenges of live data collection. This study sought to determine the feasibility of using technology to examine teachers' use of praise and reprimand during class-wide and small group instruction in four elementary classrooms.…
Descriptors: Positive Reinforcement, Negative Reinforcement, Small Group Instruction, Large Group Instruction
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Minshall, Brianna L.; Yezierski, Ellen J. – Chemistry Education Research and Practice, 2021
For six semesters, activities have been incorporated into first year general chemistry courses in an effort to build student conceptual chemistry knowledge. The activities follow a learning cycle pedagogy (similar to Process Oriented Guided Inquiry Learning or POGIL activities) and consist of guiding questions involving animations, models,…
Descriptors: Science Instruction, Chemistry, Knowledge Level, Inquiry
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Takkaç Tulgar, Aysegül; Yilmaz, Rabia Meryem; Topu, Fatma Burcu – Participatory Educational Research, 2022
The main aim of this research is to display research trends in studies on augmented reality (AR) in teaching English as a foreign language by using bibliometric mapping and content analysis. For this purpose, 64 studies in total published up to 2019 were accessed for bibliometric analysis. In addition, 49 articles published between 2007 and 2019…
Descriptors: Technology Uses in Education, Computer Simulation, Educational Technology, Second Language Instruction