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Adam Diamant – INFORMS Transactions on Education, 2024
Managers are increasingly being tasked with overseeing data-driven projects that incorporate prescriptive and predictive models. Furthermore, basic knowledge of the data analytics pipeline is a fundamental requirement in many modern organizations. Given the central importance of analytics in today's business environment, there is a growing demand…
Descriptors: Business Administration Education, Graduate Students, Prediction, Mathematical Concepts
Andrea Batey-Talley – ProQuest LLC, 2023
The Vortex School District (VSD) utilized CASE benchmark assessments as their accountability tool to measure students' progress on Tennessee's standardized testing. The researchers sought to determine the predictive relationship between math scores on CASE benchmark assessments and math scores on state-mandated standardized tests within the VSD.…
Descriptors: Benchmarking, Prediction, Standardized Tests, Mathematics Tests
Kimberly Wheeler – ProQuest LLC, 2023
The Vortex School District (VSD) utilized CASE benchmark assessments as their accountability tool to measure students' progress on Tennessee's standardized testing. The researchers sought to determine the predictive relationship between math scores on CASE benchmark assessments and math scores on state-mandated standardized tests within the VSD.…
Descriptors: Benchmarking, Prediction, Standardized Tests, Mathematics Tests
Benjamin Simmons – ProQuest LLC, 2023
The Vortex School District (VSD) utilized CASE benchmark assessments as their accountability tool to measure students' progress on Tennessee's standardized testing. The researchers sought to determine the predictive relationship between math scores on CASE benchmark assessments and math scores on state-mandated standardized tests within the VSD.…
Descriptors: Benchmarking, Prediction, Standardized Tests, Mathematics Tests
Mohamed, Mohamed Hegazy; Abdelgaber, Sayed; Abd-Ellatif, Laila – Journal of Education and e-Learning Research, 2023
Governments and educational authorities around the world are emphasizing performance evaluation of educational systems. Opinion Mining (OM) has gained acceptance among experts in various regions, including the preparation space. The proposed model involves Two modules: the data preprocessing module and the opinion mining module. The main objective…
Descriptors: Educational Practices, Program Evaluation, Opinions, Data Collection
Švábenský, Valdemar; Baker, Ryan S.; Zambrano, Andrés; Zou, Yishan; Slater, Stefan – International Educational Data Mining Society, 2023
Students who take an online course, such as a MOOC, use the course's discussion forum to ask questions or reach out to instructors when encountering an issue. However, reading and responding to students' questions is difficult to scale because of the time needed to consider each message. As a result, critical issues may be left unresolved, and…
Descriptors: Generalization, Computer Mediated Communication, MOOCs, State Universities
Kazak, Sibel; Pratt, Dave; Gökce, Rukiye – ZDM: The International Journal on Mathematics Education, 2018
We explore 11-12-year-old students' emerging ideas of models and modelling as they engage in a data-modelling task involving inquiry based on data obtained from an experiment. We report on a design-based study in which students identified what and how to measure, decided how to structure and represent data, and made inferences and predictions…
Descriptors: Data, Models, Grade 6, Mathematics Instruction
Cynthia J. Murphy; Siffat A. Sharmin; Hsien-Yuan Hsu – Journal of Education for Students Placed at Risk, 2024
Although studies have investigated educational attainment of groups of students professing low and high educational self-expectations, groups of noncommittal students, rather than being studied as a discrete group, have been treated as missing and ignored. This study investigated the differences between students of noncommittal, low, and high…
Descriptors: Grade 10, Educational Attainment, Hispanic American Students, African American Students
Tempelaar, Dirk T.; Rienties, Bart; Nguyen, Quan – IEEE Transactions on Learning Technologies, 2017
Studies in the field of learning analytics (LA) have shown students' demographics and learning management system (LMS) data to be effective identifiers of "at risk" performance. However, insights generated by these predictive models may not be suitable for pedagogically informed interventions due to the inability to explain why students…
Descriptors: Student Behavior, Integrated Learning Systems, Personality, Educational Research
Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
Dolu, Gamze – Educational Sciences: Theory and Practice, 2016
Determining what students think about science, technology, and society (STS) is of great importance. This also provides the basis for scientific literacy. As such, this study was conducted with a total of 102 senior students attending a university located in western Turkey. This study utilized the survey model as a research model and the…
Descriptors: Foreign Countries, Undergraduate Students, College Seniors, Student Attitudes
Whitten, Leah; Sanders, Anthony – Educational Technology, 2013
While engaged in academic reading, a university provost converged on an idea to use a preferential approach to students' selection of college courses,
similar to the recommendation systems used by "Netflix" and "Amazon." The result of this idea came to be known as "Degree Compass" and was implemented on the campus of…
Descriptors: Academic Achievement, Data Collection, Course Selection (Students), Student Attitudes
Ellis, Robert A.; Han, Feifei; Pardo, Abelardo – Educational Technology & Society, 2017
The field of education technology is embracing a use of learning analytics to improve student experiences of learning. Along with exponential growth in this area is an increasing concern of the interpretability of the analytics from the student experience and what they can tell us about learning. This study offers a way to address some of the…
Descriptors: Academic Achievement, Data Analysis, Outcomes of Education, Observation
Allathkani, Mahmoud A. – ProQuest LLC, 2013
Despite the growth and use of mobile internet devices in many parts of the world, including the US, UK, and other countries, Jordanian universities have remained resistant regarding adoption of such technology. Many reasons exist behind this specific resistance in implementing mobile learning technology: cost of the devices, distractibility caused…
Descriptors: Student Attitudes, Foreign Countries, Telecommunications, Information Technology
Altrabsheh, Nabeela; Cocea, Mihaela; Fallahkhair, Sanaz – International Educational Data Mining Society, 2015
Teachers/lecturers typically adapt their teaching to respond to students' emotions, e.g. provide more examples when they think the students are confused. While getting a feel of the students' emotions is easier in small settings, it is much more difficult in larger groups. In these larger settings textual feedback from students could provide…
Descriptors: Feedback (Response), Social Media, Emotional Response, Teaching Methods