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Direct linkMatthew J. Salganik; Ian Lundberg; Alexander T. Kindel; Caitlin E. Ahearn; Khaled Al-Ghoneim; Abdullah Almaatouq; Drew M. Altschul; Jennie E. Brand; Nicole Bohme Carnegie; Ryan James Compton; Debanjan Datta; Thomas Davidson; Anna Filippova; Connor Gilroy; Brian J. Goode; Eaman Jahani; Ridhi Kashyap; Antje Kirchner; Stephen McKay; Allison C. Morgan; Alex Pentland; Kivan Polimis; Louis Raes; Daniel E. Rigobon; Claudia V. Roberts; Diana M. Stanescu; Yoshihiko Suhara; Adaner Usmani; Erik H. Wang; Muna Adem; Abdulla Alhajri; Bedoor AlShebli; Redwane Amin; Ryan B. Amos; Lisa P. Argyle; Livia Baer-Bositis; Moritz Büchi; Bo-Ryehn Chung; William Eggert; Gregory Faletto; Zhilin Fan; Jeremy Freese; Tejomay Gadgil; Josh Gagné; Yue Gao; Andrew Halpern-Manners; Sonia P. Hashim; Sonia Hausen; Guanhua He; Kimberly Higuera; Bernie Hogan; Ilana M. Horwitz; Lisa M. Hummel; Naman Jain; Kun Jin; David Jurgens; Patrick Kaminski; Areg Karapetyan; E. H. Kim; Ben Leizman; Naijia Liu; Malte Möser; Andrew E. Mack; Mayank Mahajan; Noah Mandell; Helge Marahrens; Diana Mercado-Garcia; Viola Mocz; Katariina Mueller-Gastell; Ahmed Musse; Qiankun Niu; William Nowak; Hamidreza Omidvar; Andrew Or; Karen Ouyang; Katy M. Pinto; Ethan Porter; Kristin E. Porter; Crystal Qian; Tamkinat Rauf; Anahit Sargsyan; Thomas Schaffner; Landon Schnabel; Bryan Schonfeld; Ben Sender; Jonathan D. Tang; Emma Tsurkov; Austin van Loon; Onur Varol; Xiafei Wang; Zhi Wang; Julia Wang; Flora Wang; Samantha Weissman; Kirstie Whitaker; Maria K. Wolters; Wei Lee Woon; James Wu; Catherine Wu; Kengran Yang; Jingwen Yin; Bingyu Zhao; Chenyun Zhu; Jeanne Brooks-Gunn; Barbara E. Engelhardt; Moritz Hardt; Dean Knox; Karen Levy; Arvind Narayanan; Brandon M. Stewart; Duncan J. Watts; Sara McLanahan – Grantee Submission, 2020
How predictable are life trajectories? We investigated this question with a scientific mass collaboration using the common task method; 160 teams built predictive models for six life outcomes using data from the Fragile Families and Child Wellbeing Study, a high-quality birth cohort study. Despite using a rich dataset and applying machine-learning…
Descriptors: Life Satisfaction, Family Life, Quality of Life, Disadvantaged
Baker, Ryan S.; Berning, Andrew W.; Gowda, Sujith M.; Zhang, Shizhu; Hawn, Aaron – Journal of Education for Students Placed at Risk, 2020
Dropout remains a persistent challenge within high school education. In this paper, we present a case study on automatically detecting whether a student is at-risk of dropout within a diverse school district in Texas. We predict whether a student will drop out in a future school year from data on students' discipline, attendance, course-taking,…
Descriptors: At Risk Students, High School Students, Dropout Prevention, Student Diversity
Skrzypiec, Grace; Askell-Williams, Helen; Zhao, Xueqin; Du, Wenping; Cao, Fei; Xing, Lihong – Psychology in the Schools, 2018
There has been substantial research in the United States, Europe, and Australia about factors influencing students' well-being. However, such research has been relatively rare in Mainland China. We administered four predictor scales (School Satisfaction, Self-Concept, Relationships, and Resilience) and three outcome scales (Flourishing, Mental…
Descriptors: Predictor Variables, Foreign Countries, Well Being, Elementary School Students
Fako, Thabo T.; Nkhukhu-Orlando, Esther; Wilson, Debra R.; Forcheh, Ntonghanwah; Linn, James G. – International Journal of Educational Administration and Policy Studies, 2018
Organizational commitment is a major determinant of organizational effectiveness and desirable employee attitudes and behaviours. Highly committed academic staff are the backbone of universities since they play an important role in the success of their institutions. This study investigated factors associated with organizational commitment among…
Descriptors: Foreign Countries, Organizational Climate, Performance Factors, Employee Attitudes
Chen, Yu; Upah, Sylvester – Journal of College Student Retention: Research, Theory & Practice, 2020
Science, Technology, Engineering, and Mathematics student success is an important topic in higher education research. Recently, the use of data analytics in higher education administration has gain popularity. However, very few studies have examined how data analytics may influence Science, Technology, Engineering, and Mathematics student success.…
Descriptors: STEM Education, Academic Advising, Data Analysis, Majors (Students)
Kayri, Murat – Educational Sciences: Theory and Practice, 2015
The objective of this study is twofold: (1) to investigate the factors that affect the success of university students by employing two artificial neural network methods (i.e., multilayer perceptron [MLP] and radial basis function [RBF]); and (2) to compare the effects of these methods on educational data in terms of predictive ability. The…
Descriptors: Artificial Intelligence, Influences, Academic Achievement, College Students
Dehan, Jamie – ProQuest LLC, 2018
Purpose: The purpose of this study was to examine the effect professional foundational physical therapist education program coursework variables have in predicting National Physical Therapy Examination (NPTE) scores. This study examined variables including Anatomy course grade, Biomechanics/Kinesiology course grade, Exercise Physiology course…
Descriptors: Physical Therapy, Allied Health Occupations Education, Predictive Measurement, Licensing Examinations (Professions)
Hao, Jinmei; Li, Suke – Journal of Education and Practice, 2017
With the adjustment of industrial structure of China in recent years, the market urgently needs different levels of professionals. Specialty education is an important part of higher education in China, has its unique advantages. Through the analysis of the history data of specialty education in our country, the result shows that the specialty…
Descriptors: Foreign Countries, Specialization, Specialists, Enrollment Trends
Hubbard, Joanna K.; Potts, Macy A.; Couch, Brian A. – CBE - Life Sciences Education, 2017
Assessments represent an important component of undergraduate courses because they affect how students interact with course content and gauge student achievement of course objectives. To make decisions on assessment design, instructors must understand the affordances and limitations of available question formats. Here, we use a crossover…
Descriptors: Test Format, Questioning Techniques, Undergraduate Students, Objective Tests
Austin, Bruce; French, Brian; Adesope, Olusola; Gotch, Chad – Journal of Experimental Education, 2017
Measures of variability are successfully used in predictive modeling in research areas outside of education. This study examined how standard deviations can be used to address research questions not easily addressed using traditional measures such as group means based on index variables. Student survey data were obtained from the Organisation for…
Descriptors: Predictor Variables, Models, Predictive Measurement, Statistical Analysis
Morris, Darrell; Perney, Jan – Reading & Writing Quarterly, 2018
After considering the relationships between (a) reading fluency and reading rate and (b) reading rate and sight vocabulary, this study addressed a very practical question. Can a cut score on a sight vocabulary task (1-min) predict level of reading fluency 4+ months into the future? The prediction was tested at multiple times point across grades…
Descriptors: Reading Fluency, Sight Method, Sight Vocabulary, Predictive Validity
Brown, Chris; Zhang, Dell – Cambridge Journal of Education, 2017
While beneficial, the consistent and regular use of evidence to improve teaching and learning is proving difficult to achieve in practice. This paper attempts to shed new light on this issue by examining the question: "If using evidence to inform teaching practice is rational behaviour, why aren't all teachers engaged in it?" It first…
Descriptors: Teacher Attitudes, Evidence, Evidence Based Practice, Inferences
Leckie, George; Goldstein, Harvey – British Educational Research Journal, 2017
Since 1992, the UK Government has published so-called "school league tables" summarising the average General Certificate of Secondary Education (GCSE) "attainment" and "progress" made by pupils in each state-funded secondary school in England. While the headline measure of school attainment has remained the percentage…
Descriptors: Foreign Countries, Achievement Rating, Academic Achievement, Secondary School Students
Johnston, Ron; Manley, David; Jones, Kelvyn; Harris, Richard; Hoare, Anthony – Higher Education Quarterly, 2016
The United Kingdom's Department for Education has recently changed the nature of the AS-level examinations normally taken by students aspiring to enter higher education degree courses one year into their post-compulsory education. In the face of protests from universities and other institutions that this would both harm students' progression…
Descriptors: Foreign Countries, College Admission, Predictor Variables, Higher Education
Alkharusi, Hussain – Electronic Journal of Research in Educational Psychology, 2016
Introduction: Students are daily exposed to a variety of assessment tasks in the classroom. It has long been recognized that students' perceptions of the assessment tasks may influence student academic achievement. The present study aimed at predicting academic achievement in mathematics from perceptions of the assessment tasks after controlling…
Descriptors: Academic Achievement, Predictive Measurement, Predictor Variables, Learning Strategies
