Using computers to deliver training: Which employees learn and why?
By K. Brown. 2001
360 citations recorded by the source corpus.
Subfields: Applied Psychology, Education, Organizational Behavior and Human Resource Management
View Paper: https://www.semanticscholar.org/paper/e48818a4c3ec0a8305d355155ca76564be2f4bb3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Applied Psychology
- Traci Sitzmann
- Eduardo Salas
- Kurt Kraiger
- Herman Aguinis
- T. Judge
- Richard N. Landers
- Katherine Ely
- Thomas E. Becker
In Education
- Traci Sitzmann
- Richard N. Landers
- Thomas E. Becker
- Raymond A. Noe
- Kurt Kraiger
- Herman Aguinis
- Eduardo Salas
- Katherine Ely
In Organizational Behavior and Human Resource Management
- Herman Aguinis
- T. Judge
- Eduardo Salas
- Traci Sitzmann
- Murray R. Barrick
- A. Saks
- Kurt Kraiger
- Brent A. Scott
Citations in the corpus
- Active learning: effects of core training design elements on self-regulatory processes, learning, and adaptability. (2008, neutral): “Today’s computer-based training applications also provide individuals with an unprecedented degree of control over their learning (Bell & Kozlowski, 2002; Brown, 2001).”
- Self-efficacy and work-related performance: the integral role of individual differences. (2007, background): “, Brown, S. D., & Larkin, K. C. (1986). Self-efficacy in the prediction of academic performance and perceived career options. Journal of Counseling Psychology, 33, 265–269. *Lent, R. W., Lopez, F. G., & Bieschke, K. J. (1993). Predicting mathematics-related choice and success behaviors: Test of an e”
- The Impact of Method, Motivation, and Empathy on Diversity Training Effectiveness (2015, background): “For instance, one study found that individual differences such as goal orientation and learning self-efficacy predicted training performance (Brown 2006).”
- Predictors of Engagement and Participation in an On-Line Course (2003, background): “These problems include such factors as poor attendance, procrastination, feelings of isolation, and a general lack of structure in the course (Brown, 2001; Kulik, 1991; Fishman, 1999; Oliver, 1999; Olugbemiro et al., 1999; Young-Ju Joo et al., 2000, Wang and Newlin, 2000).”
- Achievement Goal Theory at the Crossroads: Old Controversies, Current Challenges, and New Directions (2011, neutral): “Three studies using this approach support the task distraction argument, but each used performance goal measures that confound approach and avoidance strivings (Brown, 2001; Fisher & Ford, 1998; Hoffman, 1993).”
- An Empirical Test of the Theory of Gamified Learning (2014, background): “A review of prior research in both education and workplace learning reveals that increased time-on-task increases learning across all learning contexts (Brown, 2001).”
- Self-Assessment of Knowledge: A Cognitive Learning or Affective Measure? (2010, background): “Research suggests some learners who are provided with control over their learning experience focus on material they have already mastered and exit the course before mastering all of the course content (Bell & Kozlowski, 2002; Brown, 2001). Thus, research is needed that models changes in self-assessm”
- Benefits of training and development for individuals and teams, organizations, and society. (2009, background): “Technology-delivered instruction (TDI) continues to become increasingly popular in industry (Paradise 2007), although researchers have been slow to study factors that facilitate or limit its effectiveness (Brown 2001, Welsh et al. 2003).”
- E-Learning in Organizations (2005, background): “Brown (2001), for example, empirically investigated the impact on learning of a 2-day Intranet-delivered problem-solving course.”