Beyond Dyadic Coordination: Multimodal Behavioral Irregularity in Triads Predicts Facets of Collaborative Problem Solving

We hypothesize that effective collaboration is facilitated when individuals and environmental components form a synergy where they work together and regulate one another to produce stable patterns of behavior, or regularity, as well as adaptively reorganize to form new behaviors, or irregularity. We tested this hypothesis in a study with 32 triads who collaboratively solved a challenging visual computer programming task for 20 min following an introductory warm‐up phase. Multidimensional recurrence quantification analysis was used to examine fine‐grained (i.e., every 10 s) collective patterns of regularity across team members' speech rate, body movement, and team interaction with the shared user interface. We found that teams exhibited significant patterns of regularity as compared to shuffled baselines, but there were no systematic trends in regularity across time. We also found that periods of regularity were associated with a reduction in overall behavior. Notably, the production of irregular behavior predicted expert‐coded metrics of collaborative activity, such as teams' ability to construct shared knowledge and effectively negotiate and coordinate execution of solutions, net of overall behavioral production and behavioral self‐similarity. Our findings support the theory that groups can interact to form interpersonal synergies and indicate that information about system‐level dynamics is a viable way to understand and predict effective collaborative processes.     

Training Insight Problem Solving Through Focus on Barriers and Assumptions

Recent research has reported successful training interventions that improve insight problem solving. In some ways this is surprising, because the processes involved in insight solutions are often assumed to be unconscious, whereas the training interventions focus on conscious cognitive strategies. We propose one mechanism that may help to explain this apparent disconnect. Recognition of a barrier to progress during insight problem solving may provide a point of access to the tacit constraining assumptions that have misled the solution process. We tested this proposal in an experiment that examined the effects of different training routines on problem solving. The experiment compared four training routines, focusing either on barriers and assumptions combined, barriers alone, assumptions alone, or goals, with two control conditions. Outcomes were measured using eleven spatial insight problems. The results indicated that training that combined focus on barriers and assumptions was significantly more effective than all other conditions, supporting the proposition that recognizing and reinterpreting barriers may assist in surfacing the unwarranted assumptions that prevent problem solving.     

小学3～6年级儿童数运算策略的获得及策略应用无效性

研究采用实验室实验和心理测验的方法,选取小学3～6年级的120名儿童为被试,探讨了数运算过程中策略应用无效性是否存在以及儿童策略获得与发展的基本过程。结果发现:(1)在数运算的解题过程中存在策略应用无效性这一阶段;(2)儿童的认知成绩在策略学习前后基本上呈现为一种先下降后上升然后再下降的曲折模式,而不是简单的线性增长;(3)策略获得的过程包括策略探索、策略领会的初步运用和策略使用的退化三个阶段。     

Training Insightful Problem Solving: Effects of Realistic and Puzzle-Like Contexts

Attempts to train people to be more insightful problem solvers have met with mixed success. This article reports the results of a controlled investigation on the effects of training with 40 participants who were equally divided into training and control conditions. Training consisted of 10 minutes of instruction and practice at avoiding or responding to the impasses that arise in insight problems. All participants were then tested on three types of problem, half of them receiving the problems in an artificial puzzle-like format, and half received the same problems set in a more realistic context. The results extended previous findings by indicating an impact of training on a range of puzzle-like problems, but not on the more realistic versions of problems, where performance with or without training was as good as that of puzzle-like problems after training. Future research will investigate whether the training procedure can be adapted to be effective with real-like problems and will examine the implications for training in the field.     

Problem Solving Therapy

This paper describes how problem solving therapy (PST) would be applied to the treatment of Sylvia (I. Caro, 2001), a 27-year-old depressed wife and mother of three. PST involves training individuals in five major processes: problem orientation, problem definition and formulation, generation of alternatives, decision making, and solution implementation and verification. We briefly describe a problem solving model of depression that highlights the moderating nature of problem solving ability regarding the stress–depression relationship. Based on this model, we then delineate how PST can be specifically applied to Sylvia. This is followed by a brief overview of the research base supporting the efficacy of PST for depression.     

Training in Timing Improves Accuracy in Golf

In this experiment, the authors investigated the influence of training in timing on performance accuracy in golf. During pre- and posttesting, 40 participants hit golf balls with 4 different clubs in a golf course simulator. The dependent measure was the distance in feet that the ball ended from the target. Between the pre- and posttest, participants in the experimental condition received 10 hr of timing training with an instrument that was designed to train participants to tap their hands and feet in synchrony with target sounds. The participants in the control condition read literature about how to improve their golf swing. The results indicated that the participants in the experimental condition significantly improved their accuracy relative to the participants in the control condition, who did not show any improvement. We concluded that training in timing leads to improvement in accuracy, and that our results have implications for training in golf as well as other complex motor activities.     

Incubation in Insight Problem Solving

A break in the attentive activity devoted to a problem may eventually facilitate the solution process. This phenomenon is known by the name incubation. A new hypothesis regarding the incubation mechanism is suggested. It is based on analysis of the structure of insight problems and their solution process. According to this hypothesis, no activity takes place during the break. The break's only function is to divert the solver's attention from the problem, thus releasing her mind from the grip of a false organizing assumption. This enables the solver to apply a new organizing assumption to the problem's components upon returning to the problem. The numbers of experimental studies that confirm the existence of the incubation phenomenon, and those that do not support it, are roughly equal, thus the primary experimental aim of the study is to improve the methodology of manipulating the break. This was done by starting the break only after an impasse has been reached. The results indicate that the break improves performance in insight problem solving, but its length does not make a difference. This supports the suggested hypothesis and does not support hypotheses that postulate unconscious ongoing processes during the break.     

Promoting Insightful Problem Solving

This work assessed whether insightful problem solving could be trained. Specifically, we tested whether solutions to a heterogeneous set of verbal insight problems could be promoted. A training scheme was developed to promote the application of mechanisms that underlie the process of restructuring. Training across the five experiments consisted of different combinations of the following training techniques: advance strategic instructions, varying amounts of practice, practice with different types of feedback, and problem comparison. Results from all five experiments showed that training can promote solutions to verbal insight problems. Facilitation effects ranged from a 14%–24% gain in overall solution rates relative to no‐treatment controls. This work demonstrated that insightful problem solving could be trained at a relatively high level of generality.     

Solving the Flagpole Problem

In this paper I demonstrate that the causal structure of flagpole-like systems can be determined by application of causal graph theory. Additional information about the ordering of events in time or about how parameters of the systems of interest can be manipulated is not needed.     

When Children's Knowledge of Memory Improves Children's Performance in Memory

One of the strongest hypotheses in the field of metacognition research involves the positive effect of metamemory on memory performance. However, owing to the lack of appropriate instruments to appraise knowledge of memory, few studies have examined this effect among children. This study was conducted to create and validate an instrument to assess children's metamemory knowledge and link this knowledge with their memory performance and strategy use. A sample of 166 children was given a new three‐factor metamemory interview, and its psychometric properties were investigated. Regression analyses were carried out to investigate the link between metamemory and memory performance in a subgroup of 128 children from the validation study. Results confirmed the scale's good psychometric properties and revealed its ability to predict children's memory performance. However, none of the scale's factors could predict children's use of memory strategies. Implications for the study of children's metamemory development are discussed. Copyright © 2014 John Wiley & Sons, Ltd.     

Enhancing Digital Fluency through a Training Program for Creative Problem Solving Using Computer Programming

The purpose of this paper is to propose a training program for creative problem solving based on computer programming. The proposed program will encourage students to solve real‐life problems through a creative thinking spiral related to cognitive skills with computer programming. With the goal of enhancing digital fluency through this proposed training program, we investigated its effects. Two sets of experiments were performed in which 119 typical students and 30 younger, gifted students participated. Two synthetic creative problem solving tests, which had a high correlation with logical ability, scientific problem solving ability and divergent thinking ability, were developed to measure creative problem solving ability. We provided the treatment group with a paper‐based booklet with relevant problems developed specifically for that group. ANCOVA statistical procedures were used to analyze the pre‐ and post‐synthetic creative problem solving tests. The findings of our study are as follows: with typical students, the originality of the treatment group outperformed the control group, a result that was compatible with previous research. With gifted students, the fluency of the treatment group outperformed the control group, and overall creative problem solving ability was enhanced. Remarkably, fluency increased significantly, a notable difference from the results of prior studies. In conclusion, we inferred that, given the definition of digital fluency, if creative problem solving ability is enhanced by a training program for creative problem solving based on computer programming, digital fluency will ultimately be improved. In this paper, we discuss the result of fluency enhancement that contradicts prior research. We suggest that this training program could be a new learning environment for the students who have grown up with digital media.     

Spatial Training Improves Children's Mathematics Ability

We tested whether mental rotation training improved math performance in 6- to 8-year-olds. Children were pretested on a range of number and math skills. Then one group received a single session of mental rotation training using an object completion task that had previously improved spatial ability in children this age (Ehrlich, Levine, &; Goldin-Meadow, 2006 Ehrlich , S. , Levine , S. , &; Goldin-Meadow , S. ( 2006 ). The importance of gestures in children's spatial reasoning . Developmental Psychology , 42 , 1259 – 1268 .[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]). The remaining children completed crossword puzzles instead. Children's posttest scores revealed that those in the spatial training group improved significantly on calculation problems. In contrast, children in the control group did not improve on any math tasks. Further analyses revealed that the spatial training group's improvement was largely due to better performance on missing term problems (e.g., 4 + ____ = 11).     

影响9点问题解决的关键行为

在已有研究的基础上,作者提出划出第三条线是解决9点问题关键行为的假设,并设计了三个实验来验证假设.结果表明:任意两条线的提示训练使9点问题的解决率接近或达到100%,因而,提示两条线不能被看成是解决9点问题的关键行为;而提示划出第三条线的训练使9点问题的解决率明显高于提示其它任何一条线训练的效果,可以被认为是解决9点问题的关键行为;能够引导被试划出第三条线的训练使9点问题的解决率明显提高.     

Internal Models in Physics Problem Solving

In this paper, we discuss the relations among internal mental models, attentional cues, and knowledge structure in solving elementary physics problems. The notion of semantic sensitivity is introduced as a qualitative measure of problem-solver receptivity to cues for generating, or making a shift to, a new internal model that may lead to the correct answer. Using three physics problems and their variations, the following results were obtained. First, think-aloud protocol data of two experts and one novice, working on those problems, were analyzed to provide empirical examples of internal models, and also to show that generation and shift of internal models generally results from the interplay of two kinds of processes, model construction and model development. Second, protocol data from 15 novices and seven professionals were used to present a more extensive empirical taxonomy of internal models for those problems. Third, seven experiments were used, along with the results from the protocol data, to suggest the following conditions on semantic sensitivity. (1) If the problem solver's present internal model is independent of his knowledge of physics principles underlying the given problem, but if attentional cues are related directly to the knowledge, then his present model is semantically sensitive to the cues, that is, it can be shifted easily to another model that is based on the knowledge. (2) His present model is semantically insensitive, if given cues are encoded based on the same knowledge as used for generating the model. (3) The relevance of cues to knowledge structure is critical for semantic sensitivity of the presently encoded model: Which cues to attend to is guided by the problem solver's knowledge, and if he can focus on those most relevant to the physics principles underlying the problem, then his present model is semantically sensitive to those cues, that is, he is more able to shift the present model to another that would lead to the correct answer.     

Problem Solving Style and Beliefs about Teaching,Learning, and Problem Solving

Seventy-four pre-service teachers in an urban graduate school of education were administered VIEW: An Assessment of Problem Solving Style and a questionnaire in which they were asked to rate the importance of numerous principles of learning, teaching, and problem solving. Judges had previously classified these principles according to the six different VIEW problem solving styles (Explorer, Developer, External, Internal, Person-oriented, Task-oriented). Participants categorized by a particular style rated more highly those principles that matched their style. Implications for instruction and the development of problem solving skills are discussed.     

No Role of Initial Problem Representation in Insight Problem Solving

The literature on insight problems—problems that supposedly can only be solved by rejection of an initial faulty problem representation and sudden comprehension of another, nonobvious representation (restructuring)—suggests that the size of initial representations affects the very process of problem solving. Large initial representations impose systematic, analytical search, whereas only small representations promote intuitive, associative processes assumed by some theorists to underpin insight. In a group of 353 young healthy participants, 6 previously validated insight problems were applied in either a small or large initial representation variant. Results demonstrated no reliable difference in performance between the problem variants with regard to (a) solution accuracy, (b) self-reported insight accompanying solutions, (c) effects of fatigue, (d) correlations with another 6 small representation-size problems, and (e) correlations with working memory capacity (which were notable). This outcome suggests that the size of initial faulty representation plays no role in insight problem solving process, supporting the account assuming its strong similarity to systematic, analytical problem solving.     

Gender Differences in Problem Solving: Expectancy and Problem Context

In this study, we investigated gender differences in problem solving as a function of problem context and expectations for success. Subjects were 90 women and 56 men from introductory psychology classes who were administered a set of mathematical problems varying in gender context under male-expectancy, female-expectancy, and neutral-expectancy conditions. No significant gender differences or interaction of gender with problem context were found. However, significant effects of problem context and expectancy were found. Both male and female subjects made higher scores on female-context problems and lower scores in the female-expectancy condition. When mathematics aptitude was used as a covariate, an interaction of gender with expectancy was found. Men in the female-expectancy condition made significantly lower scores than either men or women in the male-expectancy condition.