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Mimis, Mohamed; El Hajji, Mohamed; Es-saady, Youssef; Oueld Guejdi, Abdellah; Douzi, Hassan; Mammass, Driss – Education and Information Technologies, 2019
The educational recommendation system to provide support for academic guidance and adaptive learning has always been an important issue of research for smart education. A bad guidance can give rise to difficulties in further studies and can be extended to school dropout. This paper explores the potential of Educational Data Mining for academic…
Descriptors: Educational Counseling, Guidance, Educational Research, Data Collection
DiStefano, Christine; McDaniel, Heather L.; Zhang, Liyun; Shi, Dexin; Jiang, Zhehan – Educational and Psychological Measurement, 2019
A simulation study was conducted to investigate the model size effect when confirmatory factor analysis (CFA) models include many ordinal items. CFA models including between 15 and 120 ordinal items were analyzed with mean- and variance-adjusted weighted least squares to determine how varying sample size, number of ordered categories, and…
Descriptors: Factor Analysis, Effect Size, Data, Sample Size
Brassil, Chad E.; Couch, Brian A. – International Journal of STEM Education, 2019
Background: Within undergraduate science courses, instructors often assess student thinking using closed-ended question formats, such as multiple-choice (MC) and multiple-true-false (MTF), where students provide answers with respect to predetermined response options. While MC and MTF questions both consist of a question stem followed by a series…
Descriptors: Multiple Choice Tests, Objective Tests, Student Evaluation, Thinking Skills
Loy, Adam; Kuiper, Shonda; Chihara, Laura – Journal of Statistics Education, 2019
This article describes a collaborative project across three institutions to develop, implement, and evaluate a series of tutorials and case studies that highlight fundamental tools of data science--such as visualization, data manipulation, and database usage--that instructors at a wide-range of institutions can incorporate into existing statistics…
Descriptors: Undergraduate Study, Data Collection, Data Analysis, Statistics
Venable, Kathleen Marie – ProQuest LLC, 2019
The purpose of this study was to compare student achievement and satisfaction in online versus traditional introductory statistics courses. The sample studied were undergraduates at a small liberal arts school enrolled in introductory statistics over a period of six semesters. There were a few significant findings in student achievement in the…
Descriptors: Small Colleges, Liberal Arts, Student Satisfaction, Online Courses
Nguyen, Huy; Wang, Yeyu; Stamper, John; McLaren, Bruce M. – International Educational Data Mining Society, 2019
Knowledge components (KCs) define the underlying skill model of intelligent educational software, and they are critical to understanding and improving the efficacy of learning technology. In this research, we show how learning curve analysis is used to fit a KC model--one that was created after use of the learning technology--which can then be…
Descriptors: Middle School Students, Knowledge Representation, Models, Computer Games
M. Earnest Morrow; Dabae Lee – International Journal of Designs for Learning, 2019
Educators are being encouraged to shift their instructional paradigm from teacher-centered to learner-centered through the use of technology. For online courses, legacy learning management products originally designed to support and deliver teacher-centered instruction may represent a constraint to implementing the learner-centered paradigm. Yet,…
Descriptors: Statistics, Online Courses, Teaching Methods, Student Centered Learning
Younggon Bae; Samuel L. Tunstall; Kathryn S. Knowles; Rebecca L. Matz – Numeracy, 2019
In this analysis, we examine how course assessment items were aligned with learning objectives in a quantitative literacy course at Michigan State University. The alignment analysis consisted of mapping assessment items to a list of operationalized learning objectives from the course. Our analysis shows how often the learning objectives are…
Descriptors: Alignment (Education), Educational Objectives, Statistics Education, Evaluation Methods
Ladendorf, Karen; Muehsler, Hans; Xie, Ying; Hinderliter, Hal – Educational Media International, 2021
The K-12 Spring 2020 COVID-19 school closures saw teachers move into an online learning environment, and use their knowledge of technology, pedagogy, and content (TPACK) to develop online learning for the remainder of the school year. The purpose of this study was to examine the relationship between teachers' self-efficacy as measured by TPACK and…
Descriptors: Teacher Attitudes, Self Efficacy, Distance Education, COVID-19
Retutas, Mildin Jimenez; Rubio, Marilyn Torela – Journal of Research and Advances in Mathematics Education, 2021
Over the past few years, teaching and learning of statistics have been influenced by the emergence of the reform movement in education such as the K-12 basic education curriculum. Those of statistics concepts have changed both elementary and secondary level. Considering the educational reform in the Philippines, the study was conducted to…
Descriptors: Statistics Education, Self Efficacy, High School Students, Student Attitudes
Arcos-Alonso, Asier; Arcos Alonso, Ander – Cypriot Journal of Educational Sciences, 2021
This manuscript presents an innovative experience in the teaching-learning process with three objectives. The first is to incorporate the principles and values of social justice, reciprocity and solidarity in the subject 'Statistics Applied to Business' in the bachelor's degree in Business Administration and Management at the University of the…
Descriptors: Problem Based Learning, Cooperative Learning, Active Learning, Distance Education
Guam Department of Education, 2021
The Guam Department of Education (GDOE, Department) is a semi-autonomous agency within the Government of Guam (GovGuam) and is primarily funded through the GovGuam General Fund. The GDOE is a single unified school district that serves just under 30,000 students (from Kindergarten to Grade 12). There are 26 elementary schools, 8 middle schools, 6…
Descriptors: Kindergarten, Elementary Secondary Education, Early Childhood Education, School Statistics
Burckhardt, Philipp; Nugent, Rebecca; Genovese, Christopher R. – Journal of Statistics and Data Science Education, 2021
Revisiting the seminal 2010 Nolan and Temple Lang article on the role of computing in the statistics curricula, we discuss several trends that have emerged over the last ten years. The rise of data science has coincided with a broadening audience for learning statistics and using computational packages and tools. It has also increased the need for…
Descriptors: Statistics Education, Teaching Methods, Web Based Instruction, Data Analysis
Donoghue, Thomas; Voytek, Bradley; Ellis, Shannon E. – Journal of Statistics and Data Science Education, 2021
Nolan and Temple Lang's "Computing in the Statistics Curricula" (2010) advocated for a shift in statistical education to broadly include computing. In the time since, individuals with training in both computing and statistics have become increasingly employable in the burgeoning data science field. In response, universities have…
Descriptors: Statistics Education, Teaching Methods, Computation, Curriculum Design
Umut Özek – Annenberg Institute for School Reform at Brown University, 2021
High school graduation rates in the United States are at an all-time high, yet many of these graduates are deemed not ready for postsecondary coursework when they enter college. This study examines the short-, medium-, and long-term effects of remedial courses in middle school using a regression discontinuity design. While the short-term test…
Descriptors: Outcomes of Education, Remedial Programs, Middle School Students, Postsecondary Education

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