Cognitive Engagement In Tasks Research Articles

Analysis of EEG and ECG time series in response to olfactory and Cognitive tasks

The human body can be viewed as a collection of distinct subsystems called organs that work together to execute a specific function. Even though a comprehensive understanding of the relationship between the structural and functional links between various organs appears impossible, unravelling the inter-organ dependence could be used as a risk predictor in many instances of pathological conditions. The purpose of this study is to comprehend the interactions between the heart and brain stimulated by the sense of smell (natural whole cinnamon, green chilli, crushed pepper, and camphor) while performing cognitive tasks. Permutation entropy was used to extract the measure of variability in the information contained in the EEG and ECG signals, which served as the basis for understanding the highly correlated behaviour of the heart and brain. As per the findings, there was a significant correlation between the recorded EEG and ECG signals under various conditions, including state of rest, presence of olfactory stimuli, cognitive task and aromatherapy. The individual's engagement during cognitive activities was found by computing the coefficient of similarity between the recorded ECG signal and, the EEG signals obtained from the right and the left frontal regions of the brain measured using the Eight-channel EEG head band. The heart rate variability (HRV) from the ECG signal and the power contained in the individual frequency regions of the EEG signal were used as indicators of cognitive task engagement and relaxation during aromatherapy. These findings may be beneficial for selecting the appropriate olfactory stimuli for maintaining a healthy mental state, whether cognitive or relaxing and sleep conditioning.

BLOOD PRESSURE MEASURES ARE NOT CORRELATED WITH NIH TOOLBOX COGNITIVE BATTERY PERFORMANCE IN BLACK OLDER ADULTS

Abstract Elevated blood pressure has been inconsistently associated with cognitive performance in older adults. Black adults experience higher rates of elevated blood pressure and cognitive impairment than White adults. This study investigated whether blood pressure measurements were associated with cognitive performance on the NIH Toolbox Cognition Battery (NIHTB-CB) in older Black adults. 77 older Black adults 65+ years of age (M=72.6, SD=4.9) with subjective cognitive decline were administered the NIHTB-CB, a battery of computer-based cognitive tests. Systolic blood pressure (SBP) and diastolic blood pressure (DBP) were measured before and after cognitive testing and a cognitive task-based EEG/ERP. Average SBP, DBP, and pulse pressure (PP) were calculated. Difference scores from pre- to post-EEG/ERP served as a reactivity index following cognitive task engagement. A ratio of the difference scores to the baseline measures controlled for resting blood pressure. Bayesian correlations examined the relations between blood pressure measurements and NIHTB-CB performance. Data analysis used fully corrected T scores from the NIHTB-CB subtests. Average SBP, SBP difference scores, and baseline SBP were not associated with NIHTB-CB performance on any measurement (all BF10 < 3.0). Similarly, DBP and PP were unrelated to NIHTB-CB performance. Systolic and diastolic blood pressure were not associated with any NIHTB-CB measure. Additionally, blood pressure reactivity was not related to cognitive performance. Future research may investigate the relationship between SBP reactivity and cognitive performance across multiple measurement periods. Antihypertensive medication and duration of hypertension among hypertensive individuals may also be an important consideration in future studies.

29 Examining the Relationship between Symptom and Performance Validity Measures Across Referral Subtypes

Objective:Performance validity (PVT) and symptom validity tests (SVT) have become standard practice in assessing credibility of neuropsychological profiles and symptom report. While PVTs assess cognitive task engagement, SVTs assess credibility of patient symptom report. Although prior research aimed to conceptualize the relationship between the two validity measure types, it generally focused on SVTs from the Minnesota Multiphasic Personality Inventory (MMPI-2 &RF) and the Structured Inventory of Malingered Symptoms (SIMS; Ord et al., 2021, MMPI-2; Van Dyke et al., 2013). Further studies have demonstrated mixed results, with many studies concluding that symptom and performance validity are separate but related constructs. The current study aimed to assess the relationship between PVTs and SVTs utilizing symptom validity measures from the Personality Assessment Inventory (PAI) across three samples, including neurodevelopmental, psychiatric, and traumatic brain injury groups.Participants and Methods:Participants included 634 individuals consecutively referred for neuropsychological assessment who completed the Test of Memory Malingering (TOMM) and the PAI (mean Age = 41.7, SD = 15.7; mean Education = 13.7, SD = 2.7; 53% female; 89% Caucasian). Participants were divided into three groups based on referral, including neurodevelopmental (mean Age = SD = 10.7; mean Education = 13.4, SD = 2.5; 39% female; 79% Caucasian), psychiatric (mean Age = 44.7, SD = 15.0; mean Education = 13.8, SD = 2.8; 58% female; 90% Caucasian), and traumatic brain injury samples (mean Age = SD = 15.5; mean Education = 13.3, SD = 2.3; 50% female; 91% Caucasian). Four structural equation models (latent variable models) were constructed. The first model was fit across the entire sample while the remaining three were fit for the aforementioned subsamples. TOMM trials modeled the performance validity latent variable while SVTs from the PAI modeled the symptom validity latent variable (Positive Impression Management and Defensiveness Index modeled underreporting; Negative Impression Management, Malingering Index, and Cognitive Bias Scale modeled overreporting).Results:In the full sample model overreporting significantly predicted performance validity (p < 0.001, r = -0.31), indicating higher symptom overreporting related to poorer performance validity while symptom underreporting did not significantly predict performance validity (p = 0.09, r = 0.08). In the neurodevelopmental model overreporting did not significantly predict performance validity (p = 0.44, r = 0.10). Further, symptom underreporting did not significantly predict performance validity (p = 0.40, r = 0.10). Similarly, for the TBI model, overreporting did not significantly predict performance validity (p = 0.82, r = -0.02) and symptom underreporting did not significantly predict performance validity (p = 0.50, r = -0.08). For the psychiatric sample symptom underreporting did not significantly predict performance validity (p = 0.06, r = 0.11); however, symptom overreporting significantly predicted performance validity (p < 0.001, r = - 0.39).Conclusions:The current study expands on prior research comparing the relationship between SVTs and PVTs in neuropsychological evaluation utilizing SVTs from the PAI. Results of the present study suggest the relationship between the SVTs and PVTs varies by referral type and further supports using both PVTs and SVTs in neuropsychological assessment.

Non-linear variations in glutamate dynamics during a cognitive task engagement in schizophrenia

To investigate the role of glutamate in psychosis, we employ functional magnetic resonance spectroscopy at an ultra-high magnetic field (7T) and employ fuzzy-approximate entropy (F-ApEn) and Hurst Exponent (HE) to capture time-varying nature of glutamate signaling during a cognitive task. We recruited thirty first-episode psychosis patients (FEP) with age- and gender-matched healthy controls (HC) and administered the Color-Word Stroop paradigm, providing 128 raw MRS time-points per subject over a period of 16 min. We then performed metabolite quantification of glutamate in the dorsal anterior cingulate cortex, a region reliably activated during the Stroop task. Symptoms/cognitive functioning was measured using Positive and Negative Syndrome Scale-8 score, Social and Occupational Functioning (SOFAS) score, digit symbol) coding score, and Stroop accuracy. These scores were related to the Entropy/HE data from the overall glutamate time-series. Patients with FEP had significantly higher HE compared to HC, with individuals displaying significantly higher HE having lower functional performance (SOFAS) in both HC and FEP groups. Among healthy individuals, higher HE also indicated significantly lower cognitive function through Stroop accuracy and DSST scores. F-ApEn had an inverse Pearson correlation with HE, and tracked diagnosis, cognition and function as expected, but with lower effect sizes not reaching statistical significance. We demonstrate notable diagnostic differences in the temporal course of glutamate signaling during a cognitive task in psychosis.

The relationship between electrophysiological and hemodynamic measures of neural activity varies across picture naming tasks: A multimodal magnetoencephalography-functional magnetic resonance imaging study.

Different neuroimaging methods can yield different views of task-dependent neural engagement. Studies examining the relationship between electromagnetic and hemodynamic measures have revealed correlated patterns across brain regions but the role of the applied stimulation or experimental tasks in these correlation patterns is still poorly understood. Here, we evaluated the across-tasks variability of MEG-fMRI relationship using data recorded during three distinct naming tasks (naming objects and actions from action images, and objects from object images), from the same set of participants. Our results demonstrate that the MEG-fMRI correlation pattern varies according to the performed task, and that this variability shows distinct spectral profiles across brain regions. Notably, analysis of the MEG data alone did not reveal modulations across the examined tasks in the time-frequency windows emerging from the MEG-fMRI correlation analysis. Our results suggest that the electromagnetic-hemodynamic correlation could serve as a more sensitive proxy for task-dependent neural engagement in cognitive tasks than isolated within-modality measures.

Task-dependent fractal patterns of information processing in working memory

We applied detrended fluctuation analysis, power spectral density, and eigenanalysis of detrended cross-correlations to investigate fMRI data representing a diurnal variation of working memory in four visual tasks: two verbal and two nonverbal. We show that the degree of fractal scaling is regionally dependent on the engagement in cognitive tasks. A particularly apparent difference was found between memorisation in verbal and nonverbal tasks. Furthermore, the detrended cross-correlations between brain areas were predominantly indicative of differences between resting state and other tasks, between memorisation and retrieval, and between verbal and nonverbal tasks. The fractal and spectral analyses presented in our study are consistent with previous research related to visuospatial and verbal information processing, working memory (encoding and retrieval), and executive functions, but they were found to be more sensitive than Pearson correlations and showed the potential to obtain other subtler results. We conclude that regionally dependent cognitive task engagement can be distinguished based on the fractal characteristics of BOLD signals and their detrended cross-correlation structure.

An evolutionary gap in primate default mode network organization

SUMMARYThe human default mode network (DMN) is engaged at rest and in cognitive states such as self-directed thoughts. Interconnected homologous cortical areas in primates constitute a network considered as the equivalent. Here, based on a cross-species comparison of the DMN between humans and non-hominoid primates (macaques, marmosets, and mouse lemurs), we report major dissimilarities in connectivity profiles. Most importantly, the medial prefrontal cortex (mPFC) of non-hominoid primates is poorly engaged with the posterior cingulate cortex (PCC), though strong correlated activity between the human PCC and the mPFC is a key feature of the human DMN. Instead, a fronto-temporal resting-state network involving the mPFC was detected consistently across non-hominoid primate species. These common functional features shared between non-hominoid primates but not with humans suggest a substantial gap in the organization of the primate’s DMN and its associated cognitive functions.

A Gamification Framework for Cognitive Assessment and Cognitive Training: Qualitative Study.

BackgroundCognitive tasks designed to measure or train cognition are often repetitive and presented in a monotonous manner, features that lead to participant boredom and disengagement. In this situation, participants do not put forth their best effort to do these tasks well. As a result, neuropsychologists cannot draw accurate conclusions about the data collected, and intervention effects are reduced. It is assumed that greater engagement and motivation will manifest as improved data quality. Gamification, the use of game elements in nongame settings, has been heralded as a potential mechanism for increasing participant engagement in cognitive tasks. Some studies have reported a positive effect of gamification on participant performance, although most studies have shown mixed results. One reason for these contrasting findings is that most studies have applied poor and heterogeneous design techniques to gamify cognitive tasks. Therefore, an appropriate gamification design framework is needed in these tasks.ObjectiveThis study aimed to propose a framework to guide the design of gamification in cognitive tasks.MethodsWe employed a design science research (DSR) approach to provide a framework for gamifying cognitive assessments and training by synthesizing current gamification design frameworks and gamification works in cognitive assessment and training, as well as incorporating field experiences. The prototypes of the framework were iteratively evaluated with 17 relevant experts.ResultsWe proposed a framework consisting of 7 phases: (1) preparation; (2) knowing users; (3) exploring existing tools for assessing or training a targeted cognitive context and determining the suitability of game-up and mapping techniques; (4) ideation; (5) prototyping using the Objects, Mechanics, Dynamics, Emotions (OMDE) design guideline; (6) development; and (7) disseminating and monitoring.ConclusionsWe found that (1) an intermediate design framework is needed to gamify cognitive tasks, which means that game elements should be selected by considering current cognitive assessment or training context characteristics since game elements may impose an irrelevant cognitive load that, in turn, can jeopardize data quality; (2) in addition to developing a new gamified cognitive task from scratch, 2 gamification techniques are widely used (first, adding game elements to an existing cognitive task and second, mapping an existing game to a cognitive function or impairment to assess or train it); and (3) further research is required to investigate the interplay of cognitive processes and game mechanics.

Self-reported strategy generation and implementation in the multiple errands test: A qualitative description

ABSTRACT The Multiple Errands Test (MET) is a naturalistic assessment of executive function. Strategy use during the MET can provide useful information for the development of a cognitive profile and intervention plan in patients with brain injury. However, while observed external strategy use in the MET is well-documented, information about internal strategy use and reference data with healthy controls is limited. Contextual influences on strategy selection in this real-world assessment are also not well understood. This qualitative descriptive study explored the internal and external strategies used during MET performance by cognitively intact adults. Strategies were categorized as planning, checking, and problem solving. When planning, participants simplified and familiarized themselves with MET requirements before developing an action plan. They checked their performance by asking for help and using cues in the physical environment. When problems arose, these were solved through self-talk, comparing alternatives, applying context and modifying their plan. Results highlighted that individuals employ both visible and hidden strategies during the MET. This suggests that reflective discussions with patients following cognitive task engagement may be important, to uncover and understand strategy use, both to inform analysis of performance and guide strategy training.

Region-Level Functional and Effective Network Analysis of Human Brain During Cognitive Task Engagement.

Mental disorders are a major source of disability, with few effective treatments. It has recently been argued that these diseases might be effectively treated by focusing on decision-making, and specifically remediating decision-making deficits that act as “ingredients” in these disorders. Prior work showed that direct electrical brain stimulation can enhance human cognitive control, and consequently decision-making. This raises a challenge of detecting cognitive control lapses directly from electrical brain activity. Here, we demonstrate approaches to overcome that challenge. We propose a novel method, referred to as maximal variance node merging (MVNM), that merges nodes within a brain region to construct informative inter-region brain networks. We employ this method to estimate functional (correlational) and effective (causal) networks using local field potentials (LFP) during a cognitive behavioral task. The effective networks computed using convergent cross mapping differentiate task engagement from background neural activity with 85% median classification accuracy. We also derive task engagement networks (TENs): networks that constitute the most discriminative inter-region connections. Subsequent graph analysis illustrates the crucial role of the dorsolateral prefrontal cortex (dlPFC) in task engagement, consistent with a widely accepted model for cognition. We also show that task engagement is linked to prefrontal cortex theta (4-8 Hz) oscillations. We, therefore, identify objective biomarkers associated with task engagement. These approaches may generalize to other cognitive functions, forming the basis of a network-based approach to detecting and rectifying decision deficits.

Boosting working memory with accelerated clocks

Our perception of time varies with the degree of cognitive engagement in tasks. The perceived passage of time accelerates while working on demanding tasks, whereas time appears to drag during boring situations. Our experiment aimed at investigating whether this relationship is mutual: Can manipulated announcements of elapsed time systematically affect the attentional resources applied to a cognitive task? We measured behavioral performance and the EEG in a whole report working memory paradigm with six items of different colors that each had to be reported after a short delay period. The 32 participants were informed about the current time after each 20 trials, while the clock was running at either 100% (normal), 120% (fast), or 80% (slow) of normal clock speed depending on the experimental block. The mean number of correctly reported colors per trial was significantly increased in the fast as compared to the slow and normal clock conditions. In the EEG, we focused on neural oscillations during working memory encoding and storage. As an electrophysiological correlate of task engagement, frontal theta power during the storage interval was increased in the fast clock condition. Also, the power of frontal theta oscillations predicted the number of correctly reported colors on a single-trial basis. This shows that a covert manipulation of clock speed can lead to an improvement in cognitive performance, presumably mediated by a higher allocation of attentional resources resulting from an adaptation of the subjective passage of time during an experiment.

Individual differences in resting-state pupil size: Evidence for association between working memory capacity and pupil size variability

Dynamic non-luminance-mediated changes in pupil diameter have frequently been shown to be a reliable index for the level of arousal, mental effort, and activity in the locus coeruleus, the brainstem's noradrenergic arousal center. While pupillometry has most commonly been used to assess the level of arousal in particular psychological states or the level of engagement in cognitive tasks, some recent studies have found a relationship between average resting-state (i.e. baseline) pupil sizes and individuals' working memory capacity (WMC), indicating that individuals with higher WMC on average have larger pupils than individuals with relatively lower WMC. In the present study, we measured pupil size continuously in 212 participants during rest (i.e. while fixating) and estimated WMC in all participants by administering the Letter-Number Sequencing (LNS) task from WAIS-III. We were unable to replicate the relation between average pupil size and WMC. However, the novel finding was that higher WMC was associated with higher variability in resting-state pupil size. The present results are relevant for the current debate on the role of noradrenergic activity on working memory capacity.

Cognitive load reduces the effects of optic flow on gait and electrocortical dynamics during treadmill walking.

During navigation of complex environments, the brain must continuously adapt to both external demands, such as fluctuating sensory inputs, and internal demands, such as engagement in a cognitively demanding task. Previous studies have demonstrated changes in behavior and gait with increased sensory and cognitive load, but the underlying cortical mechanisms remain largely unknown. In the present study, in a mobile brain/body imaging (MoBI) approach, 16 young adults walked on a treadmill with high-density EEG while 3-dimensional (3D) motion capture tracked kinematics of the head and feet. Visual load was manipulated with the presentation of optic flow with and without continuous mediolateral perturbations. The effects of cognitive load were assessed by the performance of a go/no-go task on half of the blocks. During increased sensory load, participants walked with shorter and wider strides, which may indicate a more restrained pattern of gait. Interestingly, cognitive task engagement attenuated these effects of sensory load on gait. Using an independent component analysis and dipole-fitting approach, we found that cautious gait was accompanied by neuro-oscillatory modulations localized to frontal (supplementary motor area, anterior cingulate cortex) and parietal (inferior parietal lobule, precuneus) areas. Our results show suppression in alpha/mu (8-12 Hz) and beta (13-30 Hz) rhythms, suggesting enhanced activation of these regions with unreliable sensory inputs. These findings provide insight into the neural correlates of gait adaptation and may be particularly relevant to older adults who are less able to adjust to ongoing cognitive and sensory demands while walking. NEW & NOTEWORTHY The neural underpinnings of gait adaptation in humans are poorly understood. To this end, we recorded high-density EEG combined with three-dimensional body motion tracking as participants walked on a treadmill while exposed to full-field optic flow stimulation. Perturbed visual input led to a more cautious gait pattern with neuro-oscillatory modulations localized to premotor and parietal regions. Our findings show a possible brain-behavior link that might further our understanding of gait and mobility impairments.

THE SURVEY FOR MEMORY, ATTENTION, AND REACTION TIME (SMART): A BRIEF ONLINE PERSONAL COMPUTING-BASED COGNITIVE ASSESSMENT FOR HEALTHY AGING AND MILD COGNITIVE IMPAIRMENT

The SMART was developed to allow for frequent (daily to monthly) in-home assessment of everyday cognition in older adults. SMART contains three face-valid cognitive items in the domains of episodic memory, visual attention, and information processing speed, while also capturing passive aspects of cognitive task engagement such as mouse cursor movement efficiency, typing speed, time to complete the task, time of day started, and task adherence. Participants were 85 cognitively intact older adults (mean age = 83.8 years; 80% female) and 7 with MCI (mean age=81.4 years; 71% female) who were part of a longitudinal cohort study. All participants had rudimentary computer use experience (able to regularly receive and send email). SMART was emailed to all participants on the same day and time. Data were collected using commercially available software on participants’ home computers. Each participant's baseline SMART data were used to compare cognitively intact and MCI older adults and correlate with conventional cognitive tests (e.g., MMSE, CERAD word-list recall, TMT-B). Sixty-five percent of the cognitively intact group completed their baseline SMART in one session (8 ± 5 minutes on average). Of the MCI participants, only 29% completed the task in one session (within a time frame similar to the intact group), while 71% had delays, took multiple sessions or didn't finish at all. MCI participants started their first SMART later in the day than cognitively intact participants, 4:30 PM vs. 1:24 PM on average, p=0.06. Faster SMART completion time was associated with higher MMSE and CERAD word list recall scores, and faster TMT-B scores, p<.05. Answering the SMART memory recall item incorrectly was associated with lower CERAD word-list recall score, p=0.02. SMART trails times were positively correlated with TMT-B (r=0.26, p=0.02). Only 14% of older adults with MCI answered the SMART word search item correctly compared to 67% of cognitively intact participants, p<0.01. The SMART is a brief personal computing experienced-based online assessment that can be easily integrated into longitudinal protocols for frequent cognitive evaluations to identify and quantify subtle changes associated with developing MCI in community dwelling older adults.

Spatial learning and neurogenesis: Effects of cessation of wheel running and survival of novel neurons by engagement in cognitive tasks

Physical exercise stimulates cell proliferation in the adult dentate gyrus and facilitates acquisition and/or retention of hippocampal-dependent tasks. It is established that regular physical exercise improves cognitive performance. However, it is unclear for how long these benefits last after its interruption. Independent groups of rats received both free access to either unlocked (EXE Treatment) or locked (No-EXE Treatment) running wheels for 7 days, and daily injections of bromodeoxyuridine (BrdU) in the last 3 days. After a time delay period of either 1, 3, or 6 weeks without training, the animals were tested in the Morris water maze (MWM) either in a working memory task dependent on hippocampal function (MWM-HD) or in a visible platform searching task, independent on hippocampal function (MWM-NH). Data confirmed that exposure of rats to 7 days of spontaneous wheel running increases cell proliferation and neurogenesis. In contrast, neurogenesis was not accompanied by significant improvements of performance in the working memory version of the MWM. Longer time delays between the end of exercise and the beginning of cognitive training in the MWM resulted in lower cell survival; that is, the number of novel surviving mature neurons was decreased when this delay was 6 weeks as compared with when it was 1 week. In addition, data showed that while exposure to the MWM-HD working memory task substantially increased survival of novel neurons, exposure to the MWM-NH task did not, thus indicating that survival of novel dentate gyrus neurons depends on the engagement of this brain region in performance of cognitive tasks. © 2015 Wiley Periodicals, Inc.

Intrinsic Motivation Inventory: An Adapted Measure for Schizophrenia Research

This article describes the psychometric validation of a scale designed to measure intrinsic motivation (IM) in schizophrenia. Recent studies have highlighted the relationship between motivation and functional outcome in schizophrenia and identified IM as an important mediating factor between neurocognition and psychosocial outcome. It therefore becomes imperative to have validated measures of IM for empirical use. To that end, we validated a self-report IM scale that gauges the central motivational structures identified by Self-determinism Theory as pertinent to cognitive task engagement, skill acquisition, treatment compliance, and remediation outcome. Participants were schizophrenia outpatients involved in a cognitive remediation study (n = 58), a convenience subsample of clinically stable schizophrenia outpatients (n = 15), and a group of healthy normals (n = 22). The Intrinsic Motivation Inventory for Schizophrenia Research (IMI-SR) is a concise instrument, possessing good internal consistency (alpha = .92) and test-retest reliability (intraclass correlation = .77). Data were analyzed to abridge the original 54 items into a final 21-item questionnaire comprised of 3 domains relevant to motivation for treatments (interest/enjoyment, perceived choice, value/usefulness). The scale was highly associated with germane constructs of motivation for health-related behaviors, including perceived competency for attempting challenging tasks and autonomous treatment engagement. Importantly, the scale was able to distinguish improvers and nonimprovers on a cognitive task and actual learning exercises, delineate high vs low treatment attendance, and demonstrate sensitivity to motivational changes due to intervention variation. The IMI-SR is a viable instrument to measure IM in schizophrenia as part of a cognitive remediation protocol or psychosocial rehabilitation program.

The Role of Excess Cognitive Capacity in the Relationship Between Job Characteristics and Cognitive Task Engagement

A model is presented in which two categories of individual differences, differences related to task capacity and differences related to task motivation, are proposed to influence the relationship between task characteristics and cognitive task engagement. It is proposed that task characteristics will interact with the performer’s task capacity to influence the excess cognitive capacity available to the task performer. To the degree one’s capabilities meet or exceed the demands of the job, excess cognitive capacity is more likely. The relationship between excess cognitive capacity and cognitive task engagement is then moderated by factors influencing one’s task motivation, and by cognitive and physical interventions if the excess capacity is actively utilized in a safe manner. If the excess cognitive capacity is safely utilized, or if task motivation is high, cognitive task engagement is more likely. Implications of the model for human resource management are discussed.

Classroom Applications of Research on Self-Regulated Learning

This article describes how self-regulated learning (SRL) has become a popular topic in research in educational psychology and how the research has been translated into classroom practices. Research during the past 30 years on students' learning and achievement has progressively included emphases on cognitive strategies, metacognition, motivation, task engagement, and social supports in classrooms. SRL emerged as a construct that encompassed these various aspects of academic learning and provided more holistic views of the skills, knowledge, and motivation that students acquire. The complexity of SRL has been appealing to educational researchers who seek to provide effective interventions in schools that benefit teachers and students directly. Examples of SRL in classrooms are provided for three areas of research: strategies for reading and writing, cognitive engagement in tasks, and self-assessment. The pedagogical principles and underlying research are discussed for each area. Whether SRL is viewed as a set of skills that can be taught explicitly or as developmental processes of self-regulation that emerge from experience, teachers can provide information and opportunities to students of all ages that will help them become strategic, motivated, and independent learners.