The half-life of cognitive-affective states during complex learning

We investigated the temporal dynamics of students' cognitive-affective states (confusion, frustration, boredom, engagement/flow, delight, and surprise) during deep learning activities. After a learning session with an intelligent tutoring system with conversational dialogue, the cognitive-affective states of the learner were classified by the learner, a peer, and two trained judges at approximately 100 points in the tutorial session. Decay rates for the cognitive-affective states were estimated by fitting exponential curves to time series of affect responses. The results partially confirmed predictions of goal-appraisal theories of emotion by supporting a tripartite classification of the states along a temporal dimension: persistent states (boredom, engagement/flow, and confusion), transitory states (delight and surprise), and an intermediate state (frustration). Patterns of decay rates were generally consistent across affect judges, except that a reversed actor-observer effect was discovered for engagement/flow and frustration. Correlations between decay rates of the cognitive-affective states and several learning measures confirmed the major predictions and uncovered some novel findings that have implications for theories of pedagogy that integrate cognition and affect during deep learning.     

Disequilibrium in the mind, disharmony in the body

Although it is generally acknowledged that experiences of frustration, confusion, and anxiety are embodied phenomena, very little is known about how these processes modulate presumably unconscious, but constantly present, subtle bodily movement. We addressed this problem by tracking the low-level dynamics of body movement, using 1/f noise, pink noise, or "fractal scaling", during naturalistic experiences of affect in two studies involving deep learning and effortful problem-solving. Our results indicate that body movement fluctuations of individuals experiencing cognitive equilibrium was characteristic of correlated pink noise, but there was a whitening of the signal when participants experienced states that are diagnostic of cognitive distress such as anxiety, confusion, and frustration. We orient our findings within theories that emphasise the embodied nature of cognition and affect and with perspectives that view affective and cognitive processes as emergent products of a self-organising dynamical system (the brain) that is inextricably coupled to the body.     

Disequilibrium in the mind,disharmony in the body

Although it is generally acknowledged that experiences of frustration, confusion, and anxiety are embodied phenomena, very little is known about how these processes modulate presumably unconscious, but constantly present, subtle bodily movement. We addressed this problem by tracking the low-level dynamics of body movement, using 1/f noise, pink noise, or “fractal scaling”, during naturalistic experiences of affect in two studies involving deep learning and effortful problem-solving. Our results indicate that body movement fluctuations of individuals experiencing cognitive equilibrium was characteristic of correlated pink noise, but there was a whitening of the signal when participants experienced states that are diagnostic of cognitive distress such as anxiety, confusion, and frustration. We orient our findings within theories that emphasise the embodied nature of cognition and affect and with perspectives that view affective and cognitive processes as emergent products of a self-organising dynamical system (the brain) that is inextricably coupled to the body.     

Measuring emotions during epistemic activities: the Epistemically-Related Emotion Scales

Measurement instruments assessing multiple emotions during epistemic activities are largely lacking. We describe the construction and validation of the Epistemically-Related Emotion Scales, which measure surprise, curiosity, enjoyment, confusion, anxiety, frustration, and boredom occurring during epistemic cognitive activities. The instrument was tested in a multinational study of emotions during learning from conflicting texts (N?=?438 university students from the United States, Canada, and Germany). The findings document the reliability, internal validity, and external validity of the instrument. A seven-factor model best fit the data, suggesting that epistemically-related emotions should be conceptualised in terms of discrete emotion categories, and the scales showed metric invariance across the North American and German samples. Furthermore, emotion scores changed over time as a function of conflicting task information and related significantly to perceived task value and use of cognitive and metacognitive learning strategies.     

Emote aloud during learning with AutoTutor: Applying the Facial Action Coding System to cognitive–affective states during learning

In an attempt to discover the facial action units for affective states that occur during complex learning, this study adopted an emote-aloud procedure in which participants were recorded as they verbalised their affective states while interacting with an intelligent tutoring system (AutoTutor). Participants’ facial expressions were coded by two expert raters using Ekman's Facial Action Coding System and analysed using association rule mining techniques. The two expert raters received an overall kappa that ranged between .76 and .84. The association rule mining analysis uncovered facial actions associated with confusion, frustration, and boredom. We discuss these rules and the prospects of enhancing AutoTutor with non-intrusive affect-sensitive capabilities.     

Confusion and its dynamics during device comprehension with breakdown scenarios

The incidence and dynamics of confusion during complex learning and problem solving were investigated in an experiment where participants first read illustrated texts on everyday devices (e.g., an electric bell) followed by breakdown scenarios reflecting device malfunctions (e.g., “When a person rang the bell there was a short ding and then no sound was heard”). The breakdown scenarios were expected to trigger impasses and put participants in a state of cognitive disequilibrium where they would experience confusion and engage in effortful confusion resolution activities in order to restore equilibrium. The results confirmed that participants reported more confusion when presented with the breakdown scenarios compared to control scenarios that involved focusing on important device components in the absence of malfunctions. A second-by-second analysis of the dynamics of confusion yielded two characteristic trajectories that distinguished participants who partially resolved their confusion from those who remained confused. Participants who were successful in partial confusion resolution while processing the breakdowns outperformed their counterparts on knowledge assessments after controlling for scholastic aptitude, engagement, and frustration. This effect was amplified for those who were highly confused by the breakdowns. There was no direct breakdown vs. control effect on learning, but being actively engaged and partially resolving confusion during breakdown processing were positive predictors of increased learning with the breakdown compared to control scenarios. Implications of our findings for theories that highlight the role of impasses, cognitive disequilibrium, and confusion to learning are discussed.     

Emotions while writing about emotional and non-emotional topics

Research on the effects of expressive writing about emotional experiences and traumatic events has a long history in the affective and social sciences. However, very little is known about the incidence and impact of affective states when the writing activities are not explicitly emotional or are less emotionally charged. By integrating goal-appraisal and network theories of affect within cognitive process models of writing, we hypothesize that writing triggers a host of affective states, some of which are tied to the topic of the essays (topic affective states), while others are more closely related to the cognitive processes involved in writing (process affective states). We tested this hypothesis with two experiments involving fine-grained tracking of affect while participants wrote short essays on topics that varied in emotional intensity including topics used in standardized tests, to socially charged issues, and personal emotional experiences. The results indicated that (a) affect collectively accounted for a majority of the observations compared to neutral, (b) boredom, engagement/flow, anxiety, frustration, and happiness were most frequent affective states, (c) there was evidence for a proposed, but not mutually exclusive, distinction between process and topic affective states, (d) certain topic affective states were predictive of the quality of the essays, irrespective of the valence of these states, and (e) individual differences in scholastic aptitude, writing apprehension, and exposure to print correlated with affect frequency in expected directions. Implications of our findings for research focused on monitoring affect during everyday writing activities are discussed.     

Expertise reversal effect in a pen-tablet-based learning environment: The role of learningcentered emotions in the interplay between learner expertise and task complexity

The study investigated interactions between learner expertise and task complexity evaluated from both cognitive and affective perspectives. One hundred and seventy-three students, both novices and advanced learners, were asked to learn Japanese writing in a pen-tablet-based digital learning environment with varying task complexity levels. Cognitive load and learning-centred emotions were measured at intervals during learning, while writing performance was monitored by runtime tracking. Results indicated that while advanced learners performed better than novices across the range of task complexity, the moderate task complexity was shown to be superior in enhancing performance for both levels of expertise. Results for learning-centred emotions showed that advanced learners reported lower enjoyment and higher frustration when completing the low complexity task, whereas the moderately complex task was reported to be the most enjoyable and less frustrating for these learners. No significant difference in emotions was found across levels of task complexity for novices. Finally, a constructed composite indicator of cognitive-affective efficiency of instructional conditions showed a significant interaction between levels of learner expertise and task complexity primarily caused by affective factors.     

The Temporal Dynamics of Surprise

Guided by a temporal dynamics perspective, we review and integrate theories and empirical evidence on surprise. We conceptualize surprise as the initial response to unexpected events, which should be differentiated from subsequent states that occur after people had time to make sense of the unexpected outcome. To understand the nature of surprise, it is therefore important to take time into account. Following this, a review of immediate cognitive correlates of surprise shows that irrespective of the valence of the outcome, the initial responses are the same. Moreover, the temporal dynamics perspective reconciles seemingly contradictory findings regarding the valence of surprise, such that studies that focus on surprise while it happens (initial interruption) support the notion that it feels relatively negative, whereas studies that focus on states after cognitive mastering show that subsequent experiential states depend on the valence of the outcome.     

The state of boredom: Frustrating or depressing?

Boredom is a prevalent emotion with potential negative consequences. Previous research has associated boredom with outcomes indicating both high and low levels of arousal and activation. In the present study we propose that the situational context is an important factor that may determine whether boredom relates to high versus low arousal/activation reactions. In a correlational (N?=?443) and an experimental study (N?=?120) we focused on the situational factor (perceived) task autonomy, and examined whether it explains when boredom is associated with high versus low arousal affective reactions (i.e., frustration versus depressed affect). Results of both studies indicate that when task autonomy is low, state boredom relates to more frustration than when task autonomy is high. In contrast, some support (i.e., Study 1 only) was found suggesting that when task autonomy is high, state boredom relates to more depressed affect than when task autonomy is low. These findings imply that careful attention is needed for tasks that are relatively boring. In order to reduce frustration caused by such tasks, substantial autonomy should be provided, while monitoring that this does not result in increased depressed affect.     

Happy but overconfident: positive affect leads to inaccurate metacomprehension

When learning from text, it is important that learners not only comprehend the information provided but also accurately monitor and judge their comprehension, which is known as metacomprehension accuracy. To investigate the role of a learner’s affective state for text comprehension and metacomprehension accuracy, we conducted an experiment with N?=?103 university students in whom we induced positive, negative, or neutral affect. Positive affect resulted in poorer text comprehension than neutral affect. Positive affect also led to overconfident predictions, whereas negative and neutral affect were both associated with quite accurate predictions. Independent of affect, postdictions were rather underconfident. The results suggest that positive affect bears processing disadvantages for achieving deep comprehension and adequate prediction accuracy. Given that postdictions were more accurate, practice tests might represent an effective instructional method to help learners in a positive affective state to accurately judge their text comprehension.     

Delay-dependent impairment of reversal learning in rats treated with trimethyltin

Recent theories of hippocampal function focus on its role in the formation of associations in the temporal domain. A reversal learning paradigm based on leverpress automaintenance was developed to vary the CS-US relationship along two independent dimensions, one temporal and one not: CS(+)-US delay and the probability of reinforcement [P(RFT)] following the CS+. Eight male hooded Long-Evans rats were trained to reverse these automaintained discriminations repeatedly, until stable performance was achieved. The neurotoxicant trimethyltin (TMT) was used to induce lesions in the CNS, including the CA3-4 region of Ammon's Horn in dorsal hippocampus. Following iv injection of 7 mg/kg TMT to half the rats, reversal learning was assessed under varying conditions of delay and P(RFT). After recovery from the acute effects of TMT (1-2 weeks), treated rats reversed normally when no delay separated the CS+ and US; with delays of 2 to 4 s, they reversed less completely within a session than did controls. Changing P(RFT) did not affect reversal learning in either group, but reduced response rates similarly in both groups. Morphological damage was quantified by measuring the length of the remaining pyramidal cell line in sections of dorsal hippocampus. The degree of behavioral impairment correlated significantly with hippocampal damage only at nonzero CS(+)-US delays. These results indicate that TMT impaired ability of rats to integrate temporal relationships between stimulus events, and are consistent with theories of hippocampal mediation of temporal associations.     

The Temporal and Dynamic Nature of Self-Regulatory Processes During Independent and Externally Assisted Hypermedia Learning

This study examined the temporal and dynamic nature of students’ self-regulatory processes while learning about the circulatory system with hypermedia. A total of 74 undergraduate students were randomly assigned to 1 of 2 conditions: independent learning or externally assisted learning. Participants in the independent learning condition used a hypermedia environment to learn about the circulatory system on their own, while participants in the externally assisted condition used the same hypermedia environment, but were given prompts and feedback from a human tutor during the session to facilitate their self-regulatory behavior. Previously published pretest–posttest shifts toward more mature understanding of the circulatory system indicate that the externally assisted condition leads to greater learning. The present article uses think-aloud data during learning to explore process issues in light of models of self-regulated learning and conditions of engagement that may affect those processes. Results indicate that access to a human tutor influences the deployment of regulatory processes, intervals of use, and temporal dependencies. For example, there is significantly more planning during the final time interval of the learning session in the externally assisted condition; students in both conditions deploy more learning strategies in the first and second time intervals, compared to the last two time intervals. Additionally, in the externally assisted condition participants were more likely to shift from planning to monitoring and less likely to shift from learning strategies to planning. We discuss theoretical, conceptual, and methodological issues pertaining to these results, as well as implications for future research and the design of adaptive hypermedia systems.     

Can job crafting reduce job boredom and increase work engagement? A three-year cross-lagged panel study

Building upon the Conservation of Resources (COR) theory, this longitudinal study examined whether job crafting behaviors (i.e. increasing structural and social job resources and increasing challenges) predict less job boredom and more work engagement. We also tested the reverse causation effects of job boredom and work engagement on job crafting and the dynamics between the three job crafting behaviors over time. We employed a two-wave, three-year panel design and included 1630 highly educated Finnish employees from a broad spectrum of occupations in various organizations. Our results indicated that seeking challenges in particular negatively predicted job boredom and positively predicted work engagement. Seeking challenges fueled other job crafting behaviors, which, in their turn, predicted seeking more challenges over time, thus supporting the accumulation of resources. Job boredom negatively predicted increasing structural resources, whereas work engagement positively predicted increasing both structural and social resources. These findings suggest that seeking challenges at work enhances employee work engagement, prevents job boredom, and generates other job crafting behaviors. Conversely, job boredom seems to impede job crafting.     

Do Children Behave Better When Parents’ Emotion Coaching Practices are Stimulated? A Micro-Trial Study

The links between parents’ emotion regulation practices and children’s behavioral outcomes are well established. The aim of the current study designed as a randomized micro-trial was to test experimentally if and to what extent stimulating parents’ emotion coaching practices improves preschoolers’ behavioral outcomes, i.e. positive affect, irritability, non-compliance, persistence and enthusiasm. In line with this objective, the emotion coaching practices of parents of 4-to-5-year-old children were stimulated in a brief 15-min lab session. Immediately afterwards, parents and children were observed during a free-play session and frustration laboratory tasks designed to elicit negative emotions in children. The results indicated that, compared to the control group, parents whose emotion coaching practices had been stimulated displayed higher positive affect and were more emotionally sensitive during free play. Positive behaviors persisted in frustration tasks; parents were more behaviorally and emotionally responsive towards their children. In turn, children of these parents displayed higher persistence and enthusiasm but only when they had to deal with negative emotional arousal during frustration tasks. Mediation analyses also confirmed that the influence of the stimulation of parents’ emotion coaching practices on children’s outcomes, i.e. persistence and enthusiasm, was mediated by the parents’ behavior.     

The self-attention-induced feedback loop and social facilitation

It has been proposed that self-directed attention leads to the engagement of a cybernetic feedback loop, by which discrepancies between present behavior and a standard of comparison are reduced. This analysis is applied to performance facilitation effects, which are more typically explained in terms of drive theories. Though these two approaches to motivation make similar behavioral predictions in this context, they assume different mediating states. Support is noted for the assumptions that mirror presence and audience presence induce self-focus, and that they lead to comparison with salient behavioral standards. Support for the assumption that these manipulations increase arousal is also reviewed, and is challenged on methodological grounds. The attentional analysis is used to derive predictions regarding changes in physiological state over the course of a typical social facilitation procedure. An experiment is reported which confirmed these predictions. Discussion centers on how to interpret physiological changes in terms that are compatible with control theory, how to account for social impairment phenomena in terms of the present model, and the conceptual relationship between mirror presence and audience presence as experimental manipulations.     

The influence of retrieval practice on metacognition: The contribution of analytic and non-analytic processes

People may change their memory predictions after retrieval practice using naïve theories of memory and/or by using subjective experience – analytic and non-analytic processes respectively. The current studies disentangled contributions of each process. In one condition, learners studied paired-associates, made a memory prediction, completed a short-run of retrieval practice and made a second prediction. In another condition, judges read about a yoked learners’ retrieval practice performance but did not participate in retrieval practice and therefore, could not use non-analytic processes for the second prediction. In Study 1, learners reduced their predictions following moderately difficult retrieval practice whereas judges increased their predictions. In Study 2, learners made lower adjusted predictions than judges following both easy and difficult retrieval practice. In Study 3, judge-like participants used analytic processes to report adjusted predictions. Overall, the results suggested non-analytic processes play a key role for participants to reduce their predictions after retrieval practice.     

Offender engagement in group programs and associations with offender characteristics and treatment factors: A review

The aim of this review is to establish how offender engagement within group programs has been conceptualized, defined or assessed, and the factors that are associated with it. Existing models describe determinants of engagement and the process of behavioral change, but there is little in the way of theory explaining the process of engagement in treatment and change. Forty-seven studies were reviewed and revealed inconsistent definitions and assessments of engagement as well as inconsistent use of measures which contributes to confusion about the scope of engagement and reflects the lack of theory. Attendance, completion or dropout rates were frequently relied upon, but may not reliably infer engagement. Participation and out of session behaviors in conjunction with one another, reflecting a series of active responses to treatment, may more reliably reflect engagement in treatment and change. A model for offender engagement is presented which might help clarify the role of engagement variables. Offender demographics appeared to be of little value in predicting engagement, with only a small number of psychosocial factors (hostility, impulsivity) predicting low levels of engagement and most others (anger, anxiety) having little influence. Treatment factors (therapeutic relationship, program objectives) were more consistently related to engagement, but are under-researched.     

Greater reinforcement rate during training increases spontaneous recovery

Spontaneous recovery occurs when a previously reinforced and recently extinguished response reemerges over the course of time, often at the beginning of a new session of extinction. Spontaneous recovery could underlie instances of treatment relapse that threaten otherwise effective behavioral interventions for problem behavior. In two experiments, we arranged multiple schedules with pigeons and a human child to assess the effects of different training reinforcer rates on spontaneous recovery. In both experiments, responding was both more resistant to extinction and more likely to relapse following training with greater reinforcement rates upon returning to extinction after time off from extinction testing. A quantitative model based on behavioral momentum theory accounted well for the data, which suggests reexposure to the extinction context following time off during extinction resulted in (1) the failure of extinction learning to generalize, and (2) greater generalization of original learning during training. The present model attempts to quantify theories attributing spontaneous recovery to changes in temporal context.