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Download full textMcCarthy, 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
Kubsch, Marcus; Stamer, Insa; Steiner, Mara; Neumann, Knut; Parchmann, Ilka – Practical Assessment, Research & Evaluation, 2021
In light of the replication crisis in psychology, null-hypothesis significance testing (NHST) and "p"-values have been heavily criticized and various alternatives have been proposed, ranging from slight modifications of the current paradigm to banning "p"-values from journals. Since the physics education research community…
Descriptors: Data Analysis, Bayesian Statistics, Educational Research, Science Education
Direct linkBlaine, Bruce Evan – Scholarship and Practice of Undergraduate Research, 2019
Reproducibility crises have arisen in psychology and other behavioral sciences, spurring efforts to ensure research findings are credible and replicable. Although reforms are occurring at professional levels in terms of new publication parameters and open science initiatives, the credibility and reproducibility of undergraduate research deserves…
Descriptors: Undergraduate Students, Student Research, Behavioral Science Research, Research Methodology
Erin C. Yang; Robby Divine; Christine S. Kang; Sidney Chan; Elijah Arenas; Zoe Subol; Peter Tinker; Hayden Manninen; Alicia Feichtenbiner; Talal Mustafa; Julia Hallowell; Isiac Orr; Hugh Haddox; Brian Koepnick; Jacob O'Connor; Ian C. Haydon; Karla-Luise Herpoldt; Kandise Van Wormer; Celine Abell; David Baker; Alena Khmelinskaia; Neil P. King – Journal of Chemical Education, 2022
Undergraduate research experiences can improve student success in graduate education and STEM careers. During the COVID-19 pandemic, undergraduate researchers at our institution and many others lost their work-study research positions due to interruption of in-person research activities. This imposed a financial burden on the students and…
Descriptors: Undergraduate Students, Teaching Methods, COVID-19, Pandemics
Madden, Danielle R. – ProQuest LLC, 2017
Introduction: The excessive consumption of alcohol by college students is a major public health problem in the U.S. Heavy alcohol use has been linked to numerous consequences ranging from less serious effects (i.e.., hangovers) to death. Decades of research have linked certain beliefs, attitudes or motivations to drinking behavior but intensive…
Descriptors: College Students, Alcohol Abuse, Student Motivation, Expectation
Next-Generation Teaching: A Template for Bringing Genomic and Bioinformatic Tools into the Classroom
Hotaling, Scott; Slabach, Brittany L.; Weisrock, David W. – Journal of Biological Education, 2018
The recent increase in accessibility and scale of genetic data available through next-generation sequencing (NGS) technology has transformed biological inquiry. As a direct result, the application and analysis of NGS data has quickly become an important skill for future scientists. However, the steep learning curve for applying NGS technology to…
Descriptors: Biology, Genetics, Data Analysis, Technology Integration
Taub, Michelle; Azevedo, Roger – Journal of Educational Data Mining, 2018
Self-regulated learning conducted through metacognitive monitoring and scientific inquiry can be influenced by many factors, such as emotions and motivation, and are necessary skills needed to engage in efficient hypothesis testing during game-based learning. Although many studies have investigated metacognitive monitoring and scientific inquiry…
Descriptors: Metacognition, Undergraduate Students, Student Behavior, Scientific Research
Rau, Martina Angela – International Journal of Artificial Intelligence in Education, 2017
Traditional knowledge-component models describe students' content knowledge (e.g., their ability to carry out problem-solving procedures or their ability to reason about a concept). In many STEM domains, instruction uses multiple visual representations such as graphs, figures, and diagrams. The use of visual representations implies a…
Descriptors: Knowledge Representation, Models, Competence, Learning Processes
Budd, John M. – College & Research Libraries, 2017
This investigation seeks to study the publication and citation activity of faculty at research universities, as defined by membership in the Association of Research Libraries (ARL). It constitutes the fourth iteration in a study of publishing behaviors, conducted over more than twenty years. The present data indicate a substantial rise in…
Descriptors: College Faculty, Research Universities, Writing for Publication, Citation Analysis
Paterson, John W. – ProQuest LLC, 2017
Community colleges have a greater portion of students at-risk for college completion than four-year schools and faculty at these institutions are overwhelmingly and increasingly part-time. Learning communities have been identified as a high-impact practice with numerous benefits documented for community college instructors and students: a primary…
Descriptors: College Faculty, Part Time Faculty, Adjunct Faculty, Community Colleges
Chamberlin, Michelle T.; Candelaria, Megan S. – Mathematics Teacher Education and Development, 2018
Learning from the practice of teaching teachers is a promising approach for mathematics teacher educators to attain the extensive knowledge and abilities needed for their roles. As mathematics teacher educators ourselves striving to develop across our professional lifespans, we used one such approach, known as a lesson experiment, to investigate…
Descriptors: Mathematics Teachers, Teacher Educators, Experimental Teaching, Lesson Plans
Wook, Muslihah; Yusof, Zawiyah M.; Nazri, Mohd Zakree Ahmad – Education and Information Technologies, 2017
The acceptance of Educational Data Mining (EDM) technology is on the rise due to, its ability to extract new knowledge from large amounts of students' data. This knowledge is important for educational stakeholders, such as policy makers, educators, and students themselves to enhance efficiency and achievements. However, previous studies on EDM…
Descriptors: Educational Research, Information Retrieval, Data Analysis, Educational Technology
Yaowaratana, Kotchawara; Rungruang, Apichai – English Language Teaching, 2018
The pronunciation of regular past tense verbs seems to be difficult for most L2 learners, especially in L2 learners whose first language phonological system is different from the English one. It is predicted that Thai EFL students could encounter difficulties perceiving English coda clusters like the '-ed' ending sounds. For this reason, this…
Descriptors: Foreign Countries, Undergraduate Students, Second Language Learning, English (Second Language)
Roth, Daniel – Journal of College Reading and Learning, 2017
Although vocabulary instruction is a pressing need for postsecondary reading instructors, a minimal amount of current postsecondary scholarship addresses this need, and almost no current scholarship addresses the textbook tradition of morphemic analysis (MA). The present article reviews the literature on MA instruction and argues for teaching MA…
Descriptors: Morphemes, Developmental Studies Programs, Reading Instruction, Textbooks
Spaniol, Scott R. – ProQuest LLC, 2017
Research suggests that student success in mathematics is positively correlated to math self-efficacy and negatively correlated to math anxiety. At a Hispanic serving community college in the Midwest, developmental math students had a lower pass rate than did college-level math students, but the role of math self-efficacy and math anxiety on these…
Descriptors: Community Colleges, Two Year College Students, Hispanic American Students, Mathematics Education
