NotesFAQContact Us
Collection
Advanced
Search Tips
What Works Clearinghouse Rating
Does not meet standards1
Showing 1,036 to 1,050 of 3,079 results Save | Export
Organization for Autism Research, 2018
This guide prominently engages the voices of people on the autism spectrum as well as highly qualified professionals to provide information and tips vital to promoting success in higher education for people on the autism spectrum in three major areas: transition to higher education, attending college, and, finally, transitioning out of college…
Descriptors: Autism, Pervasive Developmental Disorders, College Students, College Readiness
Peer reviewed Peer reviewed
Direct linkDirect link
Mentzer, Nathan; Fosmire, Michael J. – Journal of Pre-College Engineering Education Research, 2015
This study measured the information gathering behaviors of high school students who had taken engineering design courses as they solved a design problem. The authors investigated what types of information students accessed, its quality, when it was accessed during the students' process, and if it impacted their thinking during the activity.…
Descriptors: High School Students, User Needs (Information), Engineering Technology, Design
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Ali, Shameem; King, Arthur – Journal of Education and Practice, 2015
This study looks at the satisfaction of tertiary students with their institution's library services with the aim of identifying study and learning related impediments and challenges faced by students from poor backgrounds. A study of this type is important because educators need to understand that information technology adoption and implementation…
Descriptors: Foreign Countries, Developing Nations, Student Needs, Postsecondary Education
Peer reviewed Peer reviewed
Direct linkDirect link
Reichle, Erik D.; Drieghe, Denis – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2013
The question of why readers sometimes skip words has important theoretical implications for our understanding of perception, cognition, and oculomotor control during reading (Drieghe, Rayner, & Pollatsek, 2005). In this article, the E-Z Reader model of eye-movement control in reading (Reichle, 2011) was used to examine the behavioral…
Descriptors: Reading Strategies, Reading Skills, Eye Movements, Protocol Analysis
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Sim, KwongNui; Butson, Russell – IAFOR Journal of Education, 2014
This scoping study examines the degree to which twenty two undergraduate students used their personal computers to support their academic study. The students were selected based on their responses to a questionnaire aimed at gauging their degree of computer skill. Computer activity data was harvested from the personal computers of eighteen…
Descriptors: Undergraduate Students, Computer Uses in Education, Study Habits, Questionnaires
Peer reviewed Peer reviewed
Direct linkDirect link
Dill, Anna L.; Justice, Cheryl A.; Minchew, Sue S.; Moran, Laura M.; Wang, Chih-hsuan; Weed, Candace B. – Journal of College Reading and Learning, 2014
The Learning Center (TLC) at Mississippi State University (MSU) is an academic support unit designed to help students improve their academic performance. One of the programs offered by TLC is the Learning Skills Support Program (LSSP), which is designed for academically suspended students. The Center has traditionally used the Learning and Study…
Descriptors: Learning Strategies, Measures (Individuals), Study Habits, Academic Achievement
Peer reviewed Peer reviewed
Direct linkDirect link
Yang, Yang; Bliss, Leonard B. – Educational Research and Evaluation, 2014
This study attempted to better understand the study behaviours of undergraduate students by categorizing students into distinctive typologies based on their self-reported study behaviours through an exploratory approach--Q factor analysis. A sample of 152 undergraduate students completed a survey instrument, the Study Behavior Inventory. The Q…
Descriptors: Factor Analysis, Academic Achievement, Predictor Variables, Study Habits
Peer reviewed Peer reviewed
Direct linkDirect link
Masui, Chris; Broeckmans, Jan; Doumen, Sarah; Groenen, Anne; Molenberghs, Geert – Studies in Higher Education, 2014
Research has reported equivocal results regarding the relationship between study time investment and academic performance in higher education. In the setting of the active, assignment-based teaching approach at Hasselt University (Belgium), the present study aimed (a) to further clarify the role of study time in academic performance, while taking…
Descriptors: Academic Achievement, Student Characteristics, Business Administration Education, Economics Education
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Bowman, Charles R.; Gulacar, Ozcan; King, Daniel B. – Journal of Learning Design, 2014
With the amount of data available through an online homework system about students' study habits, it stands to reason that such systems can be used to identify likely student outcomes. A study was conducted to see how student usage of an online chemistry homework system (OWL) correlated with student success in a general chemistry course. Online…
Descriptors: Electronic Learning, Homework, Predictor Variables, Academic Achievement
Peer reviewed Peer reviewed
Direct linkDirect link
Pani, John R.; Chariker, Julia H.; Naaz, Farah; Mattingly, William; Roberts, Joshua; Sephton, Sandra E. – Advances in Health Sciences Education, 2014
Instruction of neuroanatomy depends on graphical representation and extended self-study. As a consequence, computer-based learning environments that incorporate interactive graphics should facilitate instruction in this area. The present study evaluated such a system in the undergraduate neuroscience classroom. The system used the method of…
Descriptors: Neurology, Anatomy, Computer Graphics, Computer Assisted Instruction
Peer reviewed Peer reviewed
Direct linkDirect link
Spada, Marcantonio M.; Moneta, Giovanni B. – Educational Psychology, 2014
The objective of this study was to verify the structure of a model of how surface approach to studying is influenced by the trait variables of motivation and metacognition and the state variables of avoidance coping and evaluation anxiety. We extended the model to include: (1) the investigation of the relative contribution of the five…
Descriptors: Metacognition, Study Habits, Predictor Variables, Test Anxiety
Peer reviewed Peer reviewed
Direct linkDirect link
Patrick Turner – College Student Journal, 2016
The challenge colleges and universities encounter in the United States is retention of freshmen male college students. The National Center for Education Statistics (2012) reported that 37% of freshman males enrolled in a postsecondary institution in 2003-04 dropped out by June 2009. Unfortunately, 17% dropped-out within the first-year without…
Descriptors: College Freshmen, Males, School Holding Power, Student Attitudes
Peer reviewed Peer reviewed
Direct linkDirect link
Woods, Kathryn; Frogge, George – Journal of Continuing Higher Education, 2017
This study compared and contrasted preferences and experiences of traditional and nontraditional students. Students at a midsized state university in the southeast region of the United States were surveyed to determine the number of hours spent working off campus, hours spent studying, their preferred learning format, and current grade point…
Descriptors: Undergraduate Students, Student Attitudes, Preferences, Student Experience
Knight, Megan E. – ProQuest LLC, 2017
Today's grading practices mirror those of the early 1900s, and despite myriad research suggesting they are invalid, unreliable, and a hindrance to student learning, many teachers continue detrimental practices such as using 100-point percentage scales averaging all academic and nonacademic factors together into a single grade, and using grades to…
Descriptors: Secondary School Teachers, High Schools, Teacher Attitudes, Grading
Peer reviewed Peer reviewed
Direct linkDirect link
Egan, Rylan G. – Electronic Journal of Research in Educational Psychology, 2012
Introduction: The following study investigates relationships between spaced practice (re-studying after a delay) and transfer of learning. Specifically, the impact on learners ability to transfer learning after participating in spaced model-building or unstructured study of narrated text. Method: Subjects were randomly assigned either to a…
Descriptors: Transfer of Training, Intervals, Retention (Psychology), Correlation
Pages: 1  |  ...  |  66  |  67  |  68  |  69  |  70  |  71  |  72  |  73  |  74  |  ...  |  206