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Martín-Monje, Elena; Castrillo, María Dolores; Mañana-Rodríguez, Jorge – Computer Assisted Language Learning, 2018
Data mining is increasing its popularity in the research of Technology-Enhanced Language Learning and Applied Linguistics in general. It enables a better understanding of progress, performance and possible pitfalls, which would be useful for language learners, teachers and researchers. Until recently it was an unexplored field, but it is expected…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
de Silva, Tricia L.; Zakzanis, Konstantine; Henderson, Joanna; Ravindran, Arun V. – Canadian Journal of Education, 2017
Poor academic performance and dropout are major concerns at post-secondary institutions. Influences include sociodemographic, psychosocial, and academic functioning factors. Canadian literature is limited, and little published data directly compare academic outcomes between local-born, immigrant, and international students. We conducted a…
Descriptors: Predictor Variables, Postsecondary Education, Academic Achievement, Outcomes of Education
Ekici, Didem Inel – International Education Studies, 2016
This study aimed to determine Turkish junior high-school students' perceptions of the general problem-solving process. The Turkish junior high-school students' perceptions of the general problem-solving process were examined in relation to their gender, grade level, age and their grade point with regards to the science course identified in the…
Descriptors: Foreign Countries, Junior High School Students, Student Attitudes, Problem Solving
Gray, Geraldine; McGuinness, Colm; Owende, Philip; Hofmann, Markus – Journal of Learning Analytics, 2016
This paper reports on a study to predict students at risk of failing based on data available prior to commencement of first year. The study was conducted over three years, 2010 to 2012, on a student population from a range of academic disciplines, n=1,207. Data was gathered from both student enrollment data and an online, self-reporting,…
Descriptors: Prediction, At Risk Students, Academic Failure, College Freshmen
Stanley A. Taylor; Amy E. Mickel – Journal of Statistics Education, 2014
In this article, we present a data set and case study exercise that can be used by educators to teach a range of statistical concepts including Simpson's paradox. The data set and case study are based on a real-life scenario where there was a claim of discrimination based on ethnicity. The exercise highlights the importance of performing rigorous…
Descriptors: Statistics, Case Studies, Concept Formation, Mathematical Concepts
Iannelli, Cristina; Huang, Jun – Studies in Higher Education, 2014
The UK higher education system receives the second largest number of Chinese overseas students in the world. The Higher Education Statistics Agency (HESA) data used in this study show that the total number of Chinese graduates (at both undergraduate and postgraduate levels) increased from around 6000 at the beginning of the twenty-first century to…
Descriptors: Foreign Countries, Asians, Student Participation, Trend Analysis
Bouck, Emily C. – Education and Training in Autism and Developmental Disabilities, 2013
Curriculum can matter, but little research systematically examines the receipt of a particular curriculum for secondary students with disabilities and what influences the receipt of such a curriculum. This secondary analysis of the NLTS2 sought to understand who receives a functional curriculum as their secondary special education curriculum and…
Descriptors: Performance Factors, Secondary School Students, Special Education, Secondary School Curriculum
Yasmin, Dr. – Distance Education, 2013
This paper demonstrates the meaningful application of learning analytics for determining dropout predictors in the context of open and distance learning in a large developing country. The study was conducted at the Directorate of Distance Education at the University of North Bengal, West Bengal, India. This study employed a quantitative research…
Descriptors: Distance Education, Open Universities, Predictor Variables, Student Behavior
Garman, Deanna Essington – ProQuest LLC, 2012
The purpose of this quantitative study was to determine if there were significant differences in student success in face-to-face and online biology courses as categorized by gender, major, and age; and as measured by lecture grades, lab grades, and final course grades. The data used for analyses included data from 170 face-to-face sections and 127…
Descriptors: Community Colleges, Success, Online Courses, Intermode Differences
Schuchman, Matthew – ProQuest LLC, 2011
There is a deficit of male and female students entering the fields of math and science, and the need for highly educated individuals in these areas is expected to increase. While various factors may play a role in creating this deficit, there is a lack of research on one factor, that of student attitudes toward science. The theories of social…
Descriptors: Student Attitudes, Public Schools, Social Change, Data Analysis
Southard, Dan – Research Quarterly for Exercise and Sport, 2009
Accomplished throwers conserve angular momentum when distal joints of the throwing arm reach peak velocity at a later time than their proximal neighbors. The result is an increase in velocity of the most distal segment--the hand. Past research indicates that skill level varies by the number of joints experiencing distal timing lag (time to peak…
Descriptors: Motion, Discriminant Analysis, Statistical Analysis, Human Body
McNeely, Abigail Rankin – ProQuest LLC, 2010
The study herein compares students in a metropolitan community college on dimensions of wellness based on age, sex/gender, ethnicity, and socioeconomic status. The Five Factor Wellness Evaluation of Lifestyle-Adult Version (Myers & Sweeney, 2005), which is based on the Indivisible Self model (Myers & Sweeney, 2005), along with the Barratt…
Descriptors: Socioeconomic Status, Measures (Individuals), Community Colleges, College Students
Mahoney, Mark Patrick – Journal of Technology Studies, 2010
The intent of this study was to develop an instrument to measure the current level of attitude that students' exhibit toward STEM education. "The Concerns-Based Adoption Model, Taxonomy of Education Objectives-Handbook II," and other pertinent instruments were utilized as sources of inspiration for the instrument. The selected items were submitted…
Descriptors: Student Attitudes, Reliability, Predictor Variables, Statistical Significance
Fullerton, James Roderick – ProQuest LLC, 2010
"Learning Reconsidered" (Keeling, 2004) and "Learning Reconsidered 2" (Keeling, 2006) called upon institutions of higher education to measure learning outcomes, and to facilitate transformative learning in college students. "Learning Reconsidered 2" defined transformative learning with Mezirow's description of the…
Descriptors: College Students, Transformative Learning, Data Analysis, Leadership
Fields, Lanny; Travis, Robert; Roy, Deborah; Yadlovker, Eytan; de Aguiar-Rocha, Liliane; Sturmey, Peter – Journal of Applied Behavior Analysis, 2009
Many students struggle with statistical concepts such as interaction. In an experimental group, participants took a paper-and-pencil test and then were given training to establish equivalent classes containing four different statistical interactions. All participants formed the equivalence classes and showed maintenance when probes contained novel…
Descriptors: Experimental Groups, Control Groups, Interaction, Concept Formation
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