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da Cunha Moreira, Thaline; Ambiel, Rodolfo A. M. – International Journal for Educational and Vocational Guidance, 2018
This study aimed to test a theoretical model of self-efficacy applied to the context of professional choice, verifying the sources of self-efficacy as predictors of self-efficacy beliefs and self-efficacy beliefs as antecedents of vocational exploratory behavior. A total of 388 high school students from public and private schools in the state of…
Descriptors: Foreign Countries, Self Efficacy, Career Choice, Predictor Variables
Volchok, Edward – Community College Journal of Research and Practice, 2018
This retrospective study evaluates early semester predictors of whether or not community college students will successfully complete blended or hybrid courses. These predictors are available to faculty by the fourth week of the semester. Success is defined as receiving a grade of C- or higher. Failure is defined as a grade below a C- or a…
Descriptors: Community Colleges, Success, Blended Learning, Models
Hinchliffe, Lisa Janicke; Rand, Allison; Collier, Jillian – Communications in Information Literacy, 2018
The process of learning includes not only success in developing knowledge, skills, and abilities but also mistakes and errors that impede such success. In any domain of learning, instructors will have developed a sense of the typical errors learners make; however, there has been no systematic investigation and documentation of predictable…
Descriptors: Information Literacy, College Freshmen, Focus Groups, Misconceptions
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
Kilicer, Kerem; Bardakci, Salih; Arpaci, Ibrahim – Contemporary Educational Technology, 2018
For today's societies trying to cope with the current globally increased competition, existence of individuals who can take risks, solve problems and adopt changes an innovation has gained more importance when compared to the past. This situation brings responsibility to educational institutions for increasing the number of innovative individuals…
Descriptors: Predictor Variables, Technology Uses in Education, Innovation, Student Characteristics
Ibrahim, Sara – ProQuest LLC, 2017
The insider security threat causes new and dangerous dimensions in cloud computing. Those internal threats are originated from contractors or the business partners' input that have access to the systems. A study of trustworthiness and transparency might assist the organizations to monitor employees' activity more cautiously on cloud technologies…
Descriptors: Trust (Psychology), Accountability, Regression (Statistics), Computer Security
Möller, Jens; Müller-Kalthoff, Hanno; Helm, Friederike; Nagy, Nicole; Marsh, Herb W. – Frontline Learning Research, 2016
The dimensional comparison theory (DCT) focuses on the effects of internal, dimensional comparisons (e.g., "How good am I in math compared to English?") on academic self-concepts with widespread consequences for students' self-evaluation, motivation, and behavioral choices. DCT is based on the internal/external frame of reference model…
Descriptors: Comparative Analysis, Comparative Testing, Self Concept, Self Concept Measures
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
Conijn, Rianne; Snijders, Chris; Kleingeld, Ad; Matzat, Uwe – IEEE Transactions on Learning Technologies, 2017
With the adoption of Learning Management Systems (LMSs) in educational institutions, a lot of data has become available describing students' online behavior. Many researchers have used these data to predict student performance. This has led to a rather diverse set of findings, possibly related to the diversity in courses and predictor variables…
Descriptors: Blended Learning, Predictor Variables, Predictive Validity, Predictive Measurement
Riofrio-Luzcando, Diego; Ramirez, Jaime; Berrocal-Lobo, Marta – IEEE Transactions on Learning Technologies, 2017
Data mining is known to have a potential for predicting user performance. However, there are few studies that explore its potential for predicting student behavior in a procedural training environment. This paper presents a collective student model, which is built from past student logs. These logs are first grouped into clusters. Then, an…
Descriptors: Student Behavior, Predictive Validity, Predictor Variables, Predictive Measurement
Welsch, David M.; Zimmer, David M. – Education Finance and Policy, 2015
This paper draws attention to a subtle, but concerning, empirical challenge common in panel data models that seek to estimate the relationship between student transfers and district academic performance. Specifically, if such models have a dynamic element, and if the estimator controls for unobserved traits by including district-level effects,…
Descriptors: Transfer Students, Academic Achievement, Feedback (Response), School Districts
Brouwer, Jasperina; Jansen, Ellen; Hofman, Adriaan; Flache, Andreas – Research in Post-Compulsory Education, 2016
Two theoretical approaches underlie this investigation of the determinants of early study success among first-year university students. Specifically, to extend Walberg's educational productivity model, this study draws on the expectancy-value theory of achievement motivation in a contemporary university context. The survey data came from 407…
Descriptors: College Freshmen, Progress Monitoring, Success, Achievement Need
Lichtman, Allan – Social Education, 2012
Conventional pundits, pollsters, and forecasters are focused on whether the economy will improve sufficiently in 2012 for President Barack Obama to gain reelection. The Keys to the White House, a prediction system that the author developed in collaboration with Vladimir Keilis-Borok, founder of the International Institute of Earthquake Prediction…
Descriptors: Political Campaigns, Presidents, Elections, Economic Development
Vermeulen, Marjan; Van Acker, Frederik; Kreijns, Karel; van Buuren, Hans – Educational Management Administration & Leadership, 2015
To gain insight into how to promote teachers' use of digital learning materials (DLMs) in their pedagogical practices we adopted the Integrated Model of Behaviour Prediction to investigate the relationships between organizational and teacher-related variables. A representative sample of 772 teachers from primary, secondary or vocational education…
Descriptors: Transformational Leadership, Teacher Attitudes, Technology Uses in Education, Multimedia Materials
Herrera, Cheryl; Blair, Jennifer – Research in Higher Education Journal, 2015
As the U.S. population ages and policy changes emerge, such as the Patient Protection and Affordable Care Act of 2010, the U.S. will experience a significant shortage of Registered Nurses (RNs). Many colleges and universities are attempting to increase the size of nursing cohorts to respond to this imminent shortage. Notwithstanding a 2.6%…
Descriptors: Prediction, Success, Nursing Education, Nursing Students