Researchers have been applying their knowledge of goal-oriented behavior to the self-regulated learning domain for more than 30 years. This review examines the current state of research on self-regulated learning and gaps in the field's understanding of how adults regulate their learning of work-related knowledge and skills. Self-regulation theory was used as a conceptual lens for deriving a heuristic framework of 16 fundamental constructs that constitute self-regulated learning. Meta-analytic findings (k=430, N=90,380) support theoretical propositions that self-regulation constructs are interrelated-30% of the corrected correlations among constructs were .50 or greater. Goal level, persistence, effort, and self-efficacy were the self-regulation constructs with the strongest effects on learning. Together these constructs accounted for 17% of the variance in learning, after controlling for cognitive ability and pretraining knowledge. However, 4 self-regulatory processes-planning, monitoring, help seeking, and emotion control-did not exhibit significant relationships with learning. Thus, a parsimonious framework of the self-regulated learning domain is presented that focuses on a subset of self-regulatory processes that have both limited overlap with other core processes and meaningful effects on learning. Research is needed to advance the field's understanding of how adults regulate their learning in an increasingly complex and knowledge-centric work environment. Such investigations should capture the dynamic nature of self-regulated learning, address the role of self-regulation in informal learning, and investigate how trainees regulate their transfer of training.

Interactive cognitive complexity theory suggests that simulation games are more effective than other instructional methods because they simultaneously engage trainees’ affective and cognitive processes (Tennyson & Jorczak, 2008). Meta‐analytic techniques were used to examine the instructional effectiveness of computer‐based simulation games relative to a comparison group (k= 65, N= 6,476). Consistent with theory, posttraining self‐efficacy was 20% higher, declarative knowledge was 11% higher, procedural knowledge was 14% higher, and retention was 9% higher for trainees taught with simulation games, relative to a comparison group. However, the results provide strong evidence of publication bias in simulation games research. Characteristics of simulation games and the instructional context also moderated the effectiveness of simulation games. Trainees learned more, relative to a comparison group, when simulation games conveyed course material actively rather than passively, trainees could access the simulation game as many times as desired, and the simulation game was a supplement to other instructional methods rather than stand‐alone instruction. However, trainees learned less from simulation games than comparison instructional methods when the instruction the comparison group received as a substitute for the simulation game actively engaged them in the learning experience.

Meta‐analytic techniques were used to examine the effectiveness of Web‐based instruction (WBI) relative to classroom instruction (CI) and to examine moderators of the comparative effectiveness of the 2 delivery media. The overall results indicated WBI was 6% more effective than CI for teaching declarative knowledge, the 2 delivery media were equally effective for teaching procedural knowledge, and trainees were equally satisfied with WBI and CI. However, WBI and CI were equally effective for teaching declarative knowledge when the same instructional methods were used to deliver both WBI and CI, suggesting media effects are spurious and supporting Clark's (1983, 1994) theory. Finally, WBI was 19% more effective than CI for teaching declarative knowledge when Web‐based trainees were provided with control, in long courses, and when trainees practiced the training material and received feedback during training. Study limitations and directions for future research are discussed.

We conducted a meta-analysis to determine whether the within-person self-efficacy/performance relationship is positive, negative, or null and to compare the strength of the self-efficacy/performance and past performance/self-efficacy within-person relationships. The selfefficacy/performance within-person corrected correlation was .23 but was weak and nonsignificant (ρ = .06) when controlling for the linear trajectory, revealing that the main effect was spurious. The past performance/self-efficacy within-person corrected correlation was .40 and remained positive and significant (ρ = .30) when controlling for the linear trajectory. The moderator results revealed that at the withinperson level of analysis: (a) self-efficacy had at best a moderate, positive effect on performance and a null effect under other moderating conditions (ρ ranged from -.02 to .33); (b) the main effect of past performance on self-efficacy was stronger than the effect of self-efficacy on performance, even in the moderating conditions that produced the strongest self-efficacy/performance relationship; (c) the effect of past performance on self-efficacy ranged from moderate to strong across moderating conditions and was statistically significant across performance tasks, contextual factors, and methodological moderators (ρ ranged from .18 to .52). Overall, this suggests that self-efficacy is primarily a product of past performance rather than the driving force affecting future performance.Since its inception 35 years ago, self-efficacy has become the most frequently studied construct in the self-regulation domain (Vancouver & Day, 2005). Self-efficacy is defined as people's beliefs regarding their capability to succeed and attain a given level of performance (Bandura, We sincerely thank the researchers that contributed data to this meta-analysis.

A review and meta-analysis of studies assessing trainee reactions are presented. Results suggest reactions primarily capture characteristics of the training course, but trainee characteristics (e.g., anxiety and pretraining motivation) and organizational support also have a moderate effect on reactions. Instructional style (rho = .66) followed by human interaction (rho = .56) were the best predictors of reactions. Reactions predicted pre-to-post changes in motivation (beta = .51) and self-efficacy (beta = .24) and were more sensitive than affective and cognitive learning outcomes to trainees' perceptions of characteristics of the training course. Moderator analyses revealed reactions- outcomes correlations tended to be stronger in courses that utilized a high level rather than a low level of technology, and affective and utility reactions did not differ in their relationships with learning outcomes. The current study clarifies the nomological network of reactions and specifies outcomes that are theoretically related to reactions.

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Training engagement theory provides a multilevel depiction of the antecedents of training effectiveness. By multilevel, we are referring both to the hierarchical nature of constructs-such that employees are embedded in organizations and workgroups-and the temporal nature of processes-emphasizing that macro and within-person processes are not static phenomena. The hierarchical nature of training engagement theory provides a broad account of how processes at various levels in the organizational hierarchy influence one another and contribute to the success or failure of training programs. The temporal nature of the theory advocates for examining the processes that occur from before training is conceptualized until the completion of training when examining the antecedents of training effectiveness. Thus, training engagement theory proposes a sequence model of the independent and joint effects of establishing training goals, prioritizing those goals, and persisting during goal striving on training effectiveness. Finally, we propose testable multilevel propositions to spur future research.