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Wu, Jiun-Yu – Journal of Computer Assisted Learning, 2020
Online search involves multitasking and may demand better working-memory capacities (WMC) and additional cognitive aids. Given the constraints of human cognition, we tested the effectiveness of note-taking strategies on university students' online search performance. Also examined were the profile configurations of WMC tests in silence and in…
Descriptors: Predictive Validity, Short Term Memory, Notetaking, Online Searching
Montero, Shirly; Arora, Akshit; Kelly, Sean; Milne, Brent; Mozer, Michael – International Educational Data Mining Society, 2018
Personalized learning environments requiring the elicitation of a student's knowledge state have inspired researchers to propose distinct models to understand that knowledge state. Recently, the spotlight has shone on comparisons between traditional, interpretable models such as Bayesian Knowledge Tracing (BKT) and complex, opaque neural network…
Descriptors: Artificial Intelligence, Individualized Instruction, Knowledge Level, Bayesian Statistics
Zwolak, Justyna P.; Zwolak, Michael; Brewe, Eric – Physical Review Physics Education Research, 2018
The lack of an engaging pedagogy and the highly competitive atmosphere in introductory science courses tend to discourage students from pursuing science, technology, engineering, and mathematics (STEM) majors. Once in a STEM field, academic and social integration has been long thought to be important for students' persistence. Yet, it is rarely…
Descriptors: Social Networks, STEM Education, Academic Persistence, Peer Relationship
Almeda, Ma. Victoria; Zuech, Joshua; Utz, Chris; Higgins, Greg; Reynolds, Rob; Baker, Ryan S. – Online Learning, 2018
Online education continues to become an increasingly prominent part of higher education, but many students struggle in distance courses. For this reason, there has been considerable interest in predicting which students will succeed in online courses and which will receive poor grades or drop out prior to completion. Effective intervention depends…
Descriptors: Performance Factors, Online Courses, Electronic Learning, Models
Máté, Domicián; Bács, Zoltán; Takács, Viktor László – Acta Didactica Napocensia, 2017
Over the last few decades, not only organizations but also Higher Education Institutions should be more responsive to the demands of the changed global business environment and improve their effectiveness. Our motivation to write this paper is to assess the implementation of an Enterprise Resource Planning (ERP) system in higher education and…
Descriptors: Higher Education, Program Implementation, Self Evaluation (Individuals), Undergraduate Students
Bloemer, William; Day, Scott; Swan, Karen – Online Learning, 2017
In this paper we argue that simply identifying gateway courses in which a large number of students fail or withdraw and focusing attention on them may not always be the best use of limited resources. No matter what we do, there will always be courses with high D/F/W rates simply because of the nature of their content and the preparation of the…
Descriptors: Courses, Success, Academic Persistence, School Holding Power
Cheng, Junyu; Matthews, Joshua – Language Testing, 2018
This study explores the constructs that underpin three different measures of vocabulary knowledge and investigates the degree to which these three measures correlate with, and are able to predict, measures of second language (L2) listening and reading. Word frequency structured vocabulary tests tapping "receptive/orthographic (RecOrth)…
Descriptors: Listening Comprehension, Reading Comprehension, Reading Tests, Correlation
Huang, Liuli; Roche, Lahna R.; Kennedy, Eugene; Brocato, Melissa B. – International Journal of Higher Education, 2017
Many researchers have explored the relationships between the likelihood of graduating from college and demographic and pre-college factors such as gender, race/ethnicity, high school grade point average (GPA), and standardized test scores. However, additional factors such as a student's college major, home address, or use of learning support in…
Descriptors: Graduation Rate, Predictor Variables, Predictive Measurement, Predictive Validity
Andrews, Katrina; Bath, Debra; Smith, Calvin – Journal of Adult and Continuing Education, 2018
The therapeutic working alliance by Bordin has been demonstrated as a 'common ground' variable attributable to change in identified change enterprises, including education. In this context, working alliance (renamed learning alliance) has been empirically demonstrated to predict positive on-campus student outcomes. However, minimal research…
Descriptors: Blended Learning, Replication (Evaluation), Measures (Individuals), Postsecondary Education
Parham, Candace S. – ProQuest LLC, 2017
The purpose of this study was to determine if individual and institutional factors predict candidates' performance on the Board of Certification for the Athletic Trainer (BOC) examination and to determine if institutions' demographic profiles of athletic training predict pass rates on the BOC examination for people of color (POC). A BOC candidate…
Descriptors: Demography, Individual Characteristics, Institutional Characteristics, Performance Factors

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