Establishing an Early Warning System: Predicting Low Grades in College Students from Survey of Academic Orientations Scores
By Hall P. Beck, W. Davidson. 2001
117 citations recorded by the source corpus.
Subfields: Education, Experimental and Cognitive Psychology, Social Psychology
View Paper: https://www.semanticscholar.org/paper/dbdc55212b36111c45b8b819f7a1e42cb2476444
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Education
- E. Jansen
- M. Kenny
- Eileen Mc Neela
- Joan Hanafin
- R. Mossler
- Lisa M. W. DaDeppo
- C. Abraham
- M. Bruinsma
In Experimental and Cognitive Psychology
- R. Mossler
- Lisa M. W. DaDeppo
- C. Abraham
- M. Bruinsma
- Michelle Richardson
- R. Bond
- Myron H. Dembo
- M. Nakajima
In Social Psychology
- Lisa M. W. DaDeppo
- C. Abraham
- M. Bruinsma
- Michelle Richardson
- R. Bond
- Myron H. Dembo
- E. Jansen
- A. Vedel
Citations in the corpus
- Student Persistence in Community Colleges (2012, background): “Beck and Davidson ( 2001 ) indicated that when interventions were to be attempted, it usually is after several failures, which reduces the likelihood of academic survival.”
- Integration Factors Related to the Academic Success and Intent to Persist of College Students with Learning Disabilities (2009, background): “Previous research with unselected samples has consistently shown a positive relationship between high school GPA and entrance exam scores (Beck & Davidson, 2001; Kahn & Nauta, 2001; Tross et al., 2000; Wolfe & Johnson, 1995).”
- Psychological correlates of university students' academic performance: a systematic review and meta-analysis. (2012, background): “Representative item(s): see Beck et al. (1961) a The self-control, independence, anxiety, extraversion, and tough mindedness traits from the 16PF were coded as conscientious, agreeableness, neuroticism, extraversion, and openness, respectively. b Consistent with Payne et al. (2007), when a…”
- Artificial Intelligence in Education: 20th International Conference, AIED 2019, Chicago, IL, USA, June 25-29, 2019, Proceedings, Part II (2019, unknown): “Several Early Warning Systems (EWSs) have been developed that harness the predictive power of Learning Management System (LMS) and Student Information System (SIS) data to identify at-risk students and allow for more timely pedagogical interventions [1,4,15,16].”
- The College Persistence Questionnaire: Development and Validation of an Instrument That Predicts Student Attrition (2009, unknown): “…for pleasure, academic efficacy, academic apathy, and mistrust of instructors) are associated with students’ stress levels (Davidson & Beck, [End Page 376] 2006), self-actualization (Davidson, Bromfield, & Beck, 2007), grades (Beck & Davidson, 2001), and persistence (Davidson & Beck, 2006–2007).”
- Explaining Achievement in Higher Education (2005, background): “Related to that, another wide body of research concerns students’ approaches to learning, students’ perceptions of the learning environment and academic performance (see e.g., Beck & Davidson, 2001; Lindblom-Ylänne & Lonka,1999; Ramsden, 2003; Richardson, 2000; Trigwell & Prosser, 1991).”
- Including young people with disabilities: Assessment challenges in higher education (2007, background): “In addition, research in the area has tended more towards institutional-level issues such as, assessment and institutional quality and improvement (Cabrera, 2001; Peterson, 2000), student attrition and retention ( Beck, 2001; Kahn, 2001), entry selection (Bridgeman, 1998; Mori, 2002; Young, 2000), ”