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Victoria L. Bernhardt – Eye on Education, 2025
With the 5th Edition of Data Analysis for Continuous School Improvement, best-selling Victoria Bernhardt has written the go-to-resource for data analysis in your school! By incorporating collaborative structures to implement, monitor, and evaluate the vision and continuous improvement plan, this book provides a framework to show learning…
Descriptors: Learning Analytics, Data Analysis, Educational Improvement, Evaluation Methods
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Liang Zhang; Jionghao Lin; John Sabatini; Conrad Borchers; Daniel Weitekamp; Meng Cao; John Hollander; Xiangen Hu; Arthur C. Graesser – IEEE Transactions on Learning Technologies, 2025
Learning performance data, such as correct or incorrect answers and problem-solving attempts in intelligent tutoring systems (ITSs), facilitate the assessment of knowledge mastery and the delivery of effective instructions. However, these data tend to be highly sparse (80%90% missing observations) in most real-world applications. This data…
Descriptors: Artificial Intelligence, Academic Achievement, Data, Evaluation Methods
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Abigail Goben; Megan Sapp Nelson; Shaurya Gaur – College & Research Libraries, 2025
The "Building Your Research Data Management Toolkit" was developed to provide introductory research data management skills training to liaisons in academic libraries. This paper assesses the participants' perceived change in knowledge, behaviors and attitudes as a result of participation in the RoadShow program. Long term changes in…
Descriptors: Academic Libraries, Data, Information Management, Data Analysis
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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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Danial Hooshyar; Nour El Mawas; Yeongwook Yang – Knowledge Management & E-Learning, 2024
The use of learner modelling approaches is critical for providing adaptive support in educational computer games, with predictive learner modelling being among the key approaches. While adaptive supports have been shown to improve the effectiveness of educational games, improperly customized support can have negative effects on learning outcomes.…
Descriptors: Artificial Intelligence, Course Content, Tests, Scores
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Singer-Freeman, Karen E.; Robinson, Christine – Research & Practice in Assessment, 2020
A grand challenge is a problem that requires broad cooperation for successful resolution from a community of scholars. Several national and international organizations have generated lists of grand challenges to unify the efforts of scholars and practitioners in a field. However, the field of assessment has yet to identify its own set of grand…
Descriptors: Higher Education, Educational Assessment, Equal Education, Educational Improvement
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Tanisli, Dilek – Eurasian Journal of Educational Research, 2016
Problem Statement: Gaining reasoning skills in early years affects the formal proving skills in the following years, thus it is quite significant. The acquiring of this skill is only possible with the approaches that the teachers used in the process. At this point, the problem to be researched in terms of making proofs is seen in how middle school…
Descriptors: Teacher Influence, Instructional Effectiveness, Middle School Students, Middle School Teachers
Huang, Yun; González-Brenes, José P.; Kumar, Rohit; Brusilovsky, Peter – International Educational Data Mining Society, 2015
Latent variable models, such as the popular Knowledge Tracing method, are often used to enable adaptive tutoring systems to personalize education. However, finding optimal model parameters is usually a difficult non-convex optimization problem when considering latent variable models. Prior work has reported that latent variable models obtained…
Descriptors: Guidelines, Models, Prediction, Evaluation Methods
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Anwar, M. A.; Ahmed, Naseer; Al Ameen, Abdurahem Mohammed – Contemporary Issues in Education Research, 2012
The evaluation of students' expected performance and course effectiveness play a vital role in determining the course contribution toward meeting the program's learning objectives or outcomes. The success of any course not only requires a well-designed syllabus with clearly defined course learning outcomes and the use of appropriate outcome-based…
Descriptors: Foreign Countries, College Outcomes Assessment, Evaluation Methods, Student Evaluation
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Mong, Michael D.; Mong, Kristi W. – Journal of Behavioral Education, 2012
The present study evaluated the utility of brief experimental analysis (BEA) in predicting effective interventions for increasing the math fluency of 3 elementary students identified as having math skill deficits. Baseline data were collected followed by implementation of a BEA consisting of the following interventions: cover, copy, and compare,…
Descriptors: Intervention, Instructional Effectiveness, Prediction, Experiments
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Conderman, Greg; Hedin, Laura – Kappa Delta Pi Record, 2012
The accountability movement in education has caused school administrators and teachers to think differently about how they report, interpret, and use student assessment data. For example, legislative measures such as No Child Left Behind require school officials to report how all students are progressing toward established standards typically…
Descriptors: Student Evaluation, Instructional Effectiveness, Teaching Methods, Feedback (Response)
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Loh, Christian Sebastian – International Journal of Virtual and Personal Learning Environments, 2013
Today's economic situation demands that learning organizations become more diligent in their business dealings to reduce cost and increase bottom line for survival. While there are many champions and proponents claiming that game-based learning (GBL) is sure to improve learning, researchers have, thus far, been unable to (re)produce concrete,…
Descriptors: Investment, Outcomes of Education, Educational Games, Instructional Improvement
Assiri, Mohammed S. – ProQuest LLC, 2011
With the focus on how a sample of 25 Arab ESL learners respond to the TOEFL-iBT reading tasks, this study aimed to find out what strategies respondents tend to use, investigate if there are differences between high- and low-scorers in strategy use, and determine aspects of effective strategy use among respondents. Data were collected using a…
Descriptors: Arabs, Program Effectiveness, Scoring, Data Analysis
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Stumbo, Circe; McWalters, Peter – Educational Leadership, 2011
Federal policy now focuses on teacher "effectiveness" rather than teacher "quality" as its central policy concern. Rather than measuring inputs, the new focus looks to measure the outcomes of a teacher's work--that is, the extent to which the educator has met crucial student needs, such as improved student achievement. As…
Descriptors: Student Needs, Academic Achievement, Data Analysis, Educational Policy
Glowa, Liz – International Association for K-12 Online Learning, 2013
Competency education is student-centric, personalizing student progress so that every child has adequate time and support to reach proficiency every step of the way. Competency education fundamentally changes the way the educational enterprise is organized around student needs, and thus must have a dynamic IT system to support it. Following an…
Descriptors: Information Technology, Competency Based Education, Instructional Design, Instructional Effectiveness
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