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Hayat Sahlaoui; El Arbi Abdellaoui Alaoui; Said Agoujil; Anand Nayyar – Education and Information Technologies, 2024
Predicting student performance using educational data is a significant area of machine learning research. However, class imbalance in datasets and the challenge of developing interpretable models can hinder accuracy. This study compares different variations of the Synthetic Minority Oversampling Technique (SMOTE) combined with classification…
Descriptors: Sampling, Classification, Algorithms, Prediction
Jennings, Austin S. – Elementary School Journal, 2023
Teachers' data literacy and interpretive process are critical to understanding how they make sense of data. However, little is known about how mental representations shape and evolve in response to teachers' interpretive process. In the present study, I model and explore this recursive relationship between teachers' cognitive framing and…
Descriptors: Data Interpretation, Cognitive Processes, Academic Achievement, Student Evaluation
Leone, Elizabeth L. – ProQuest LLC, 2023
Data collection and analyzation practices for English language development services are scarcely found in research, but needed in the subgroup of minority students commonly known as English language learners (Wiseman & Bell, 2021). Wiseman and Bell (2021) identified ELLs as one of the most under-documented student subgroups in the American…
Descriptors: Data Collection, Data Analysis, Second Language Learning, English Language Learners
Hatala, Rose; Gutman, Jacqueline; Lineberry, Matthew; Triola, Marc; Pusic, Martin – Advances in Health Sciences Education, 2019
Learning curves can support a competency-based approach to assessment for learning. When interpreting repeated assessment data displayed as learning curves, a key assessment question is: "How well is each learner learning?" We outline the validity argument and investigation relevant to this question, for a computer-based repeated…
Descriptors: Medicine, Metabolism, Physicians, Clinical Diagnosis
Shaked, Haim; Schechter, Chen – Journal of School Administration Research and Development, 2019
Systems thinking involves attempts to understand and improve complex systems, examines systems holistically, and focuses on the way that a system's constituent parts interrelate. This essay provides examples of how systems thinking can enable principals to demonstrate instructional leadership and nurture learning-focused schools in the current era…
Descriptors: Systems Approach, Principals, Instructional Leadership, Curriculum Development
Brown, Stephanie T.; McGreevy, Jeanette; Berigan, Nick – New Directions for Teaching and Learning, 2018
This chapter describes how any campus can use collaborative professional integration and three "data buckets" (pre-college, during-college, and post-college buckets) to disaggregate assessment evidence, interpret findings contextually, and focus attention on realistic actions to improve student performance in the areas of leverage over…
Descriptors: College Students, Academic Achievement, Data, Student Evaluation
Dooley, Laura; Makasis, Nikolas – Education Sciences, 2020
The flipped classroom has been increasingly employed as a pedagogical strategy in the higher education classroom. This approach commonly involves pre-class learning activities that are delivered online through learning management systems that collect learning analytics data on student access patterns. This study sought to utilize learning…
Descriptors: Student Behavior, Flipped Classroom, Learning Analytics, Data Interpretation
Weingarten, Zachary; Zumeta Edmonds, Rebecca; Arden, Sarah – TEACHING Exceptional Children, 2020
A large body of research suggests that families' engagement in their children's education is a crucial factor in promoting school success for children and youth. Family engagement in school is associated with improved academic achievement and reductions in social and behavioral problems. Research also suggests that collaboration between schools…
Descriptors: Family School Relationship, Intervention, Elementary School Students, Family Involvement
Wardrip, Peter S.; Herman, Phillip – Teacher Development, 2018
Internationally, there has been a policy push for using student data for instruction. Yet, research has noted few examples of actually understanding how this data-use practice takes place. This study presents a case of an instructional data team making sense of student data. The study shares data to show how teachers' process for using data to…
Descriptors: Faculty Development, Educational Improvement, Case Studies, Charter Schools
Solomon, Bonnie J.; Sun, Sarah; Temkin, Deborah – Child Trends, 2021
With the passage of the 2015 Every Student Succeeds Act (ESSA), states were required to add a fifth indicator on "School Quality or Student Success" (SQSS) to their school accountability systems. An analysis of submitted ESSA state plans found that 13 states included measures of school climate as their SQSS indicator or incorporated…
Descriptors: School Districts, Learning Analytics, Educational Environment, Educational Quality
Louden, William – Education Services Australia, on behalf of the Education Council, 2019
The Education Council of the Council of Australian Governments (COAG) commissioned a review of the current approach to the presentation of the National Assessment Program -- Literacy and Numeracy (NAPLAN) data including information published on the "My School" website. The review was framed by four Terms of Reference, namely: (1)…
Descriptors: Foreign Countries, Literacy, National Competency Tests, Numeracy
Gardner, Paul – English in Australia, 2018
The 2017 NAPLAN results were followed by political and media attention focusing on a decline in achievement in writing. This article analyses NAPLAN data to identify the locus of the decline. Contrary to media reports in which it was suggested Year 3 was problematic, the article systematically compares NAPLAN results between 2011 and 2017 to…
Descriptors: Test Score Decline, Data Analysis, Academic Achievement, Writing Achievement
Why Education Practitioners and Stakeholders Should Care about Person Fit in Educational Assessments
Walker, A. Adrienne – Harvard Educational Review, 2017
In this article, A. Adrienne Walker introduces the concept of person fit to education stakeholders as a source of evidence to inform the trustworthiness of a test score for interpretation and use (validity). Person fit analyses are used in educational measurement research to explore the degree to which a person's test score can be interpreted as a…
Descriptors: Educational Assessment, Stakeholders, Goodness of Fit, Academic Achievement
Basco, Raymart O. – Research in Pedagogy, 2020
This study determined the effectiveness of science infographics in improving academic performance among sixth-grade pupils of Batangas State University ARASOF- Nasugbu Laboratory School. Based on the results of the multiple pre-test and post-tests of 26 pupils, the findings elucidated that the respondents performed significantly better in their…
Descriptors: Visual Aids, Data Interpretation, Instructional Materials, Instructional Effectiveness
Ring, Malte; Brahm, Taiga; Randler, Christoph – International Journal of Science Education, 2019
In science, graphs are used to visualise data, relationships and scientific principles. Basic graph reading operations, i.e. reading single data points, recognising trends as well as conducting small extrapolations from the data are important skills for pupils and lay the groundwork for a comprehensive understanding of data visualisations across…
Descriptors: Graphs, Difficulty Level, Data Interpretation, Test Items