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McCarthy, Richard V.; Ceccucci, Wendy; McCarthy, Mary; Sugurmar, Nirmalkumar – Information Systems Education Journal, 2021
This case is designed to be used in business analytics courses; particularly those that emphasize predictive analytics. Students are given background information on money laundering and data from People's United Bank, a regional bank in the northeast United States. The students must develop their hypothesis, analyze the data, develop and optimize…
Descriptors: Business Administration Education, Data Analysis, Prediction, Crime
Morphew, Jason W. – Metacognition and Learning, 2021
Student learning in introductory science, technology, engineering, and mathematics (STEM) courses is often self-regulated. For self-regulated learning to be effective, students need to engage in accurate metacognitive monitoring to make appropriate metacognitive control decisions. However, the accuracy with which individuals monitor their task…
Descriptors: Metacognition, STEM Education, Independent Study, Accuracy
Bird, Kelli A.; Castleman, Benjamin L.; Song, Yifeng; Mabel, Zachary – Education Next, 2021
An estimated 1,400 colleges and universities nationwide have invested in predictive analytics technology to identify which students are at risk of failing courses or dropping out, with spending estimated in the hundreds of millions of dollars. How accurate and stable are those predictions? The authors put six predictive models to the test to gain…
Descriptors: Prediction, Models, Data Analysis, Community Colleges
Bergman, Peter; Kopko, Elizabeth; Rodriguez, Julio E. – National Bureau of Economic Research, 2021
Tracking is widespread in U.S. education. In post-secondary education alone, at least 71% of colleges use a test to track students. However, there are concerns that the most frequently used college placement exams lack validity and reliability, and unnecessarily place students from under-represented groups into remedial courses. While recent…
Descriptors: Prediction, Learning Analytics, College Entrance Examinations, College Students
ALSaad, Fareedah; Reichel, Thomas; Zeng, Yuchen; Alawini, Abdussalam – International Educational Data Mining Society, 2021
With the emergence of MOOCs, it becomes crucial to automate the process of a course design to accommodate the diverse learning demands of students. Modeling the relationships among educational topics is a fundamental first step for automating curriculum planning and course design. In this paper, we introduce "Topic Transition Map" (TTM),…
Descriptors: Online Courses, Student Diversity, Student Needs, Course Content
Stefanie Parrish – ProQuest LLC, 2021
What is the correlation between pre-screening tools and teaching experiences in the special education setting? Are pre-screening tools, used by school district throughout the country, able to predict an applicant's teaching experience? This study seeks to find the answers to these two research questions. In this qualitative study, twenty special…
Descriptors: Screening Tests, Teaching Experience, Special Education, Special Education Teachers
Juliana Cerentini Pacico – ProQuest LLC, 2021
The 2015 Every Student Succeeds Act (ESSA) emphasized that students, regardless of group membership, should graduate ready for college or work. The economic impact of not being ready is significantly negative. Non-cognitive skills (NCSs) assessments have been used to identify students at risk and intervene to help prevent undesirable outcomes.…
Descriptors: Educational Legislation, Elementary Secondary Education, Federal Legislation, Test Bias
Jeffery Lindsey Jr. – ProQuest LLC, 2021
The purpose of this study was to examine the predictability of types of mentoring relationships on the perceived academic success, retention status, graduation status, and progression status of undergraduate students in the United States. Specifically, this study focused on the predictable relationship between types of mentoring relationships such…
Descriptors: Undergraduate Students, Mentors, Prediction, Self Concept
Skar, Gustaf B.; Lei, Pui-Wa; Graham, Steve; Aasen, Arne Johannes; Johansen, Marita Byberg; Kvistad, Anne Holten – Reading and Writing: An Interdisciplinary Journal, 2022
Until children can produce letters quickly and accurately, it is assumed that handwriting disrupts and limits the quality of their text. This investigation is the largest study to date (2596 girls, 2354 boys) assessing the association between handwriting fluency and writing quality. We tested whether handwriting fluency made a statistically unique…
Descriptors: Handwriting, Second Language Learning, Native Language, Elementary School Students
Herman, Eric; Leeser, Michael J. – Modern Language Journal, 2022
This study examined the relationship between lexical coverage (i.e., the percentage of known word tokens in a text) and second language (L2) reading comprehension. Several studies have suggested that adequate comprehension occurs between 95% and 98% coverage, but no study has investigated beginning-level learners reading under the conditions of…
Descriptors: Reading Comprehension, Spanish, Second Language Learning, Second Language Instruction
Tsai, Meng-Jung; Liang, Jyh-Chong; Lee, Silvia Wen-Yu; Hsu, Chung-Yuan – Journal of Educational Computing Research, 2022
A prior study developed the Computational Thinking Scale (CTS) for assessing individuals' computational thinking dispositions in five dimensions: decomposition, abstraction, algorithmic thinking, evaluation, and generalization. This study proposed the Developmental Model of Computational Thinking through validating the structural relationships…
Descriptors: Thinking Skills, Problem Solving, Computation, Models
Barymon, Deanna M. – ProQuest LLC, 2022
Numerous health profession fields, including radiology, have attempted to identify predictors of success on their respective credentialing exams. This preregistered study seeks to determine if available academic performance measures may predict radiography national certification examination scores and help educators identify students for…
Descriptors: Prediction, Certification, Scores, Radiology
Okçu, Veysel; Admis, Abdullah – Online Submission, 2022
The aim of this study is to examine the relationship between authentic leadership behaviors of school administrators and teacher professionalism and motivation. In the quantitative research, the relational survey model was used. The population of the study consists of 1040 teachers working in 44 primary schools in Kayapinar, Diyarbakir during the…
Descriptors: Teacher Motivation, Teacher Administrator Relationship, Professionalism, Measures (Individuals)
Cock, Jade Maï; Marras, Mirko; Giang, Christian; Käser, Tanja – International Educational Data Mining Society, 2022
Interactive simulations allow students to discover the underlying principles of a scientific phenomenon through their own exploration. Unfortunately, students often struggle to learn effectively in these environments. Classifying students' interaction data in the simulations based on their expected performance has the potential to enable adaptive…
Descriptors: Science Instruction, Prediction, Models, Interaction
Wang, Yuancheng; Luo, Nanyu; Zhou, Jianjun – International Educational Data Mining Society, 2022
Doing assignments is a very important part of learning. Students' assignment submission time provides valuable information on study attitudes and habits which strongly correlate with academic performance. However, the number of assignments and their submission deadlines vary among university courses, making it hard to use assignment submission…
Descriptors: College Students, Assignments, Time, Scheduling

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