A laboratory in experimental psychology using the TRS-80

Twenty-three BASIC language programs have been written to allow the TRS-80 and other microcomputers to perform most of the classical experiments normally used in teaching a laboratory course in experimental psychology. Most programs allow experiments to be run as though the computer was the specialized apparatus normally used. This facilitates a realistic and interactive learning experience for the students.     

Comparisons of stimulus learning and response learning in a punishment situation

These experiments use a procedure in which a rat is trained to make two topographically distinct responses on a single manipulandum, and then one of the responses is punished. Differential suppression of the punished response is taken as evidence of response learning, whereas the common suppression of both responses is attributed to stimulus learning or to general and nonassociative factors. Thus, this procedure begins the experimental separation of animals learning about the consequences of their behavior and animals learning what happens in a particular environment. A further separation is effected by using two such manipulanda; this procedure begins to distinguish between stimulus learning about the manipulandum and the more gereral factors that cause suppression. Some parameters affecting the relative importance of stimulus learning and response learning are examined.     

IMPACT OF THE IMPLEMENTATION OF THE TEACHING/LEARNING CYCLE ON TEACHER DECISION-MAKING AND EMERGENT READERS

No topic is on the minds of the general public, federal and state legislatures, parents, and educators more than the issue of establishing and maintaining school programs that are consistent in their ability to produce competent readers. Teachers, administrators, and teacher preparation programs are admonished to change programs, resources, monitoring procedures - whatever it takes to bring about this reformation of student reading achievement. Topics under investigation include effective models, methods, and strategies of instruction; essential teacher knowledge; teacher decision-making; and professional development of in-service and pre-service teachers. From this body of research the terms "balanced literacy" and "engaged literacy" have emerged. These terms are defined as emphasizing instruction on identified student need and including skills development as well as experience in a variety of texts. The teaching/learning cycle, a model for evaluating student reading behaviors and planning focused instruction, providesa foundation for the development of essential teacher knowledge and skills. As teachers articulate their understanding of the reading process, the characteristics of the learner, and the supports and challenges offered in text and teaching approaches, their practice is changed to make it more congruent with these stated beliefs. When teacher instructional practice is aligned with clear understandings and beliefs, student achievement increases. This study explored how knowledge and use of the teaching/learning cycle in beginning reading instruction impacts teacher decision-making and student achievement. While investigating teachers' knowledge and use of the teaching/learning cycle, two research questions focused on how student learning was affected and the impact of the changes on student/teacher interactions.     

Implicit visual learning and the expression of learning

Although the existence of implicit motor learning is now widely accepted, the findings concerning perceptual implicit learning are ambiguous. Some researchers have observed perceptual learning whereas other authors have not. The review of the literature provides different reasons to explain this ambiguous picture, such as differences in the underlying learning processes, selective attention, or differences in the difficulty to express this knowledge. In three experiments, we investigated implicit visual learning within the original serial reaction time task. We used different response devices (keyboard vs. mouse) in order to manipulate selective attention towards response dimensions. Results showed that visual and motor sequence learning differed in terms of RT-benefits, but not in terms of the amount of knowledge assessed after training. Furthermore, visual sequence learning was modulated by selective attention. However, the findings of all three experiments suggest that selective attention did not alter implicit but rather explicit learning processes.     

Effects of cooperative learning on peer relations,empathy, and bullying in middle school

Although researchers have developed prevention programs to reduce bullying, the results are mixed, and this may be due to a degree of uncertainty in their theoretical foundation. In particular, these programs share an emphasis on empathy as a personal attribute that can be enhanced among students through the application of specific curricula that will, in turn, contribute to a reduction in bullying behavior. However, the link between empathy and bullying is unclear, as is the ability of bullying prevention programs to actually impact student empathy. In this study, we used a cluster randomized trial (N = 15 middle schools, 1,890 students, 47.1% female, 75.2% White) to evaluate the impact of cooperative learning on bullying, and we evaluated whether these effects were mediated by empathy and peer relatedness. Our results indicated that cooperative learning can significantly reduce bullying, and that some of this effect is transmitted via enhancements to affective empathy. Cooperative learning also demonstrated significant positive effects on cognitive empathy, but this did not have an effect on bullying. We also found that the effects of cooperative learning on cognitive and affective empathy were mediated by improvements in peer relatedness. These findings add a degree of clarity to the literature, and also represent the first time, as far as we are aware, that an antibullying program has been found to have significant effects on both cognitive and affective empathy.     

How category learning affects object representations: not all morphspaces stretch alike

How does learning to categorize objects affect how people visually perceive them? Behavioral, neurophysiological, and neuroimaging studies have tested the degree to which category learning influences object representations, with conflicting results. Some studies have found that objects become more visually discriminable along dimensions relevant to previously learned categories, while others have found no such effect. One critical factor we explore here lies in the structure of the morphspaces used in different studies. Studies finding no increase in discriminability often use blended morphspaces, with morphparents lying at corners of the space. By contrast, studies finding increases in discriminability use factorial morphspaces, defined by separate morphlines forming axes of the space. Using the same 4 morphparents, we created both factorial and blended morphspaces matched in pairwise discriminability. Category learning caused a selective increase in discriminability along the relevant dimension of the factorial space, but not in the blended space, and led to the creation of functional dimensions in the factorial space, but not in the blended space. These findings demonstrate that not all morphspaces stretch alike: Only some morphspaces support enhanced discriminability to relevant object dimensions following category learning. Our results have important implications for interpreting neuroimaging studies reporting little or no effect of category learning on object representations in the visual system: Those studies may have been limited by their use of blended morphspaces.     

Learning categories by making predictions: An investigation of indirect category learning

Categories are learned in many ways, but studies of category learning have generally focused on classification learning. This focus may limit the understanding of categorization processes. Two experiments were conducted in which participants learned categories of animals by predicting how much food each animal would eat. We refer to this as indirect category learning, because the task andthe feedback were not directly related to category membership, yet category learning was necessary for good performance in the task. In the first experiment, we compared the performance of participants who learned the categories indirectly with the performance of participants who first learned to classify the objects. In the second experiment, we replicated the basic findings and examined attention to different features during the learning task. In both experiments, participants who learned in the prediction-only condition displayed a broader distribution of attention than participants who learned in the classification-and-prediction condition did. Some participants in the prediction-only group learned the family resemblance structure of the categories, even when a perfect criterial attribute was present. In contrast, participants who first learned to classify the objects tended to learn the criterial attribute.     

Psychological Hardiness in Learning and Quality of College Life of Business Students: Evidence from Vietnam

Vietnam’s continuing economic transformation has sharply increased the demand for highly-qualified business graduates. Vietnamese universities have responded to this increase in demand by improving the quality of their programs and raising their performance standards. The degree to which high-quality competitive programs increase students’ satisfaction with their educational experience is determined by their psychological hardiness in learning, their learning motivation, and their assessments of the functional value of business education. This study gathered survey data from a convenience sample of 1,024 business students in Vietnam, then validated measures of four constructs: Quality of College Life, psychological hardiness in learning, learning motivation, and perceived functional value of business education. The relationships among the constructs were estimated by Structural Equation Modeling. The results demonstrate that psychological hardiness in learning and learning motivation have statistically significant positive impacts on students’ perceived Quality of College Life. The impacts are significantly stronger for students with higher assessments of the functional value of a business education. These findings suggest that universities could enhance the Quality of College Life and academic performance by offering programs to cultivate students’ psychological hardiness in learning and their learning motivation, and by providing them with objective information about the functional value of business careers.     

The role of incremental parsing in syntactically conditioned word learning

In a series of three experiments, we use children’s noun learning as a probe into their syntactic knowledge as well as their ability to deploy this knowledge, investigating how the predictions children make about upcoming syntactic structure change as their knowledge changes. In the first two experiments, we show that children display a developmental change in their ability to use a noun’s syntactic environment as a cue to its meaning. We argue that this pattern arises from children’s reliance on their knowledge of verbs’ subcategorization frame frequencies to guide parsing, coupled with an inability to revise incremental parsing decisions. We show that this analysis is consistent with the syntactic distributions in child-directed speech. In the third experiment, we show that the change arises from predictions based on verbs’ subcategorization frame frequencies.     

Sensitivity to Shared Information in Social Learning

Social learning has been shown to be an evolutionarily adaptive strategy, but it can be implemented via many different cognitive mechanisms. The adaptive advantage of social learning depends crucially on the ability of each learner to obtain relevant and accurate information from informants. The source of informants’ knowledge is a particularly important cue for evaluating advice from multiple informants; if the informants share the source of their information or have obtained their information from each other, then their testimony is statistically dependent and may be less reliable than testimony from informants who do not share information. In this study, we use a Bayesian model to determine how rational learners should incorporate the effects of shared information when learning from other people, conducting three experiments that examine whether human learners behave similarly. We find that people are sensitive to a number of different patterns of dependency, supporting the use of a sophisticated strategy for social learning that goes beyond copying the majority, and broadening the situations in which social learning is likely to be an adaptive strategy.     

Effects of sequence length and structure on implicit serial learning

Some data suggest that, as in explicit serial learning, longer sequences are more difficult to learn implicitly. These findings have been used to support the inference that implicit learning is capacity-limited. However, investigations of the effect of sequence length on implicit learning have confounded sequence structure with sequence length. These factors were manipulated independently in 3 experiments using a serial reaction time task. The results showed that sequence structure, not sequence length, largely determines the extent of sequence learning.     

Virtual reality applications to agoraphobia: a protocol.

Recently, educators and instructional designers have focused on the development and implementation of virtual learning environments that effectively combine theoretical and applied knowledge to teach university students. One of the trusts of the Psychology Virtual Teaching Laboratory in collaboration with the IXTLI observatory is to develop dissemination programs to promote the insertion of virtual reality (VR) technologies applied to rehabilitation in their clinical practice. This paper describes the development of (1) agoraphobia VR learning objects to be use as a teaching support tools in class and (2) a multimedia teaching program that incorporate digital video and VR scenarios address to students in the field of mental health. Promotion among professors and students about the use of this technology will allow us to initiate research in our country as well as to validate contextualized applications for our culture, therefore contributing with new advances in this field.     

Educationally-Based,Culturally-Sensitive,Theory-Driven Mentorship Intervention with At-risk Native American Youth in South Dakota: A Narrative Review

Native American youth struggle with many social issues such as poverty, drug and alcohol abuse, teen pregnancy, and dropping out of high school, as a result of historical trauma and the current conditions on the reservation. This narrative review found that existing mentorship programs lack adequate research, particularly with Native American youth and youth from rural settings, yet the limited research does demonstrate potential promise. Available research findings suggest that mentorship programs are supporting at-risk youth generally, particularly with increasing their self-worth as well as having educational benefit for the youth. Two theoretical frameworks, strengths perspective and social learning theory, have been determined to offer support to increase the value of mentorship programs for Native American youth. This narrative review concludes that by understanding the social issues and the impact of historical trauma as well as understanding the use of applied theories, strong programming, and helpful factors or considerations, a culturally-sensitive, educationally-based mentorship intervention has potential to support at-risk Native American youth feel motivated to move forward with their educational futures.     

People use the memory for past-test heuristic as an explicit cue for judgments of learning

When people estimate their memory for to-be-learned material over multiple study–test trials, they tend to base their judgments of learning (JOLs) on their test performance for those materials on the previous trial. Their use of this information—known as the memory for past-test (MPT) heuristic—is believed to be responsible for improvements in the relative accuracy (resolution) of people’s JOLs across learning trials. Although participants seem to use past-test information as a major basis for their JOLs, little is known about how learners translate this information into a judgment of learning. Toward this end, in two experiments, we examined whether participants factored past-test performance into their JOLs in either an explicit, theory-based way or an implicit way. To do so, we had one group of participants (learners) study paired associates, make JOLs, and take a test on two study–test trials. Other participants (observers) viewed learners’ protocols and made JOLs for the learners. Presumably, observers could only use theory-based information to make JOLs for the learners, which allowed us to estimate the contribution of explicit and implicit information to learners’ JOLs. Our analyses suggest that all participants factored simple past-test performance into their JOLs in an explicit, theory-based way but that this information made limited contributions to improvements in relative accuracy across trials. In contrast, learners also used other privileged, implicit information about their learning to inform their judgments (that observers had no access to) that allowed them to achieve further improvements in relative accuracy across trials.     

(Non)words, (non)words, (non)words: evidence for a protolexicon during the first year of life

Previous research with artificial language learning paradigms has shown that infants are sensitive to statistical cues to word boundaries (Saffran, Aslin & Newport, 1996) and that they can use these cues to extract word‐like units (Saffran, 2001). However, it is unknown whether infants use statistical information to construct a receptive lexicon when acquiring their native language. In order to investigate this issue, we rely on the fact that besides real words a statistical algorithm extracts sound sequences that are highly frequent in infant‐directed speech but constitute nonwords. In three experiments, we use a preferential listening paradigm to test French‐learning 11‐month‐old infants' recognition of highly frequent disyllabic sequences from their native language. In Experiments 1 and 2, we use nonword stimuli and find that infants listen longer to high‐frequency than to low‐frequency sequences. In Experiment 3, we compare high‐frequency nonwords to real words in the same frequency range, and find that infants show no preference. Thus, at 11 months, French‐learning infants recognize highly frequent sound sequences from their native language and fail to differentiate between words and nonwords among these sequences. These results are evidence that they have used statistical information to extract word candidates from their input and stored them in a ‘protolexicon’, containing both words and nonwords.     

An effective metacognitive strategy: learning by doing and explaining with a computer‐based Cognitive Tutor

Recent studies have shown that self‐explanation is an effective metacognitive strategy, but how can it be leveraged to improve students' learning in actual classrooms? How do instructional treatments that emphasizes self‐explanation affect students' learning, as compared to other instructional treatments? We investigated whether self‐explanation can be scaffolded effectively in a classroom environment using a Cognitive Tutor, which is intelligent instructional software that supports guided learning by doing. In two classroom experiments, we found that students who explained their steps during problem‐solving practice with a Cognitive Tutor learned with greater understanding compared to students who did not explain steps. The explainers better explained their solutions steps and were more successful on transfer problems. We interpret these results as follows: By engaging in explanation, students acquired better‐integrated visual and verbal declarative knowledge and acquired less shallow procedural knowledge. The research demonstrates that the benefits of self‐explanation can be achieved in a relatively simple computer‐based approach that scales well for classroom use.     

Integrating novel dimensions to eliminate category exceptions: when more is less

Category learning can be characterized as a process of discovering the dimensions that represent stimuli efficiently and effectively. Categories that are overlapping when represented in 1 dimensionality may be separate in a higher dimensional cue set. The authors report 2 experiments in which participants were shown an additional cue after learning to use 2 imperfect cues. The results revealed that participants can integrate new information into their categorization cue set. The authors discovered wide individual differences, however, with many participants favoring simpler, but less accurate, cue sets. Some participants demonstrated the ability to discard information previously used when new, more accurate information was introduced. The categorization model RASHNL (J. K. Kruschke & M. K. Johansen, 1999) gave qualitatively accurate fits of the data.     

Two‐year‐olds are vigilant of others’ non‐verbal cues to credibility

Data from three experiments provide the first evidence that children, at least as young as age two, are vigilant of others’ non‐verbal cues to credibility, and flexibly use these cues to facilitate learning. Experiment 1 revealed that 2‐ and 3‐year‐olds prefer to learn about objects from someone who appears, through non‐verbal cues, to be confident in performing actions on those objects than from someone who appears uncertain when performing actions on those objects. Experiment 2 revealed that when 2‐year‐olds observe only one model perform a single action, either confidently or unconfidently, they do not use the model’s level of confidence in this single instance to influence their learning. Experiment 3 revealed that 2‐year‐olds will use a single model’s level of confidence to guide their learning if they have observed that the model has a history of being either consistently confident or consistently uncertain. These findings reveal that young children selectively alter their learning based on others’ non‐verbal cues of credibility, and underscore the importance of an early sensitivity to socio‐cognitive cues for human learning and development.