A mathematical theory of instruction: Instructor/learner interaction and instruction pacing

In this paper, a mathematical theory of instruction applicable in the educational environment is developed from concepts of psychological learning theory. Within the framework of optimization and control theory, the dynamics of the interaction between instructor and learner are modelled, and the trade-off between instruction cost and learner achievement is formulated so that optimal instruction inputs can be determined. One important aspect of the classroom environment that is characterized by the theory is the interaction between an instructor and a group of learners with various learning abilities.A basic dynamic model that relates learner achievement and instruction cost is developed from learning theory concepts. This model, which applies to the individual learner situation, is analyzed in detail to determine instruction intensity inputs that match the learner's characteristics in order to maximize an objective that measures both achievement and cost.This basic model is used as a building block to describe how individual learner achievement depends on instruction pacing. To determine optimal instruction pacing the concept of gain, which is essentially learner achievement per unit time, is introduced. In this extended model, instruction pacing is intimately related with the concept of learner aptitude. This relationship leads immediately to the consideration of instruction pacing for a group of learners with various aptitudes and thus optimal instruction pacing is determined for nonhomogenous groups.Throughout the development of the theory, hypothetical examples are presented to demonstrate many of the implications of the theory. One of the contributions of the theory is the definition of the concepts of learner aptitude and instruction pacing within a framework that structures the empirical investigation of these concepts by means of experimental research.     

Cognitive behaviour therapy approach to assessing dysfunctional thoughts

Research shows that the client who is emotionally distressed will have many negative or dysfunctional thoughts. Some of these thoughts are irrelevant or less important to the patient's problem. This means that some thoughts are more central to the client's problem than the others. Among these relevant central thoughts, one thought is hypothesed to be the most central to the client's problem. This is known as a critical thought and should be the most appropriate cognitive target for intervention. In addition, this paper suggests that the therapist/nurse should treat each of the expressed emotions relating to a negative event as a separate entity for assessment. Rationale and clinical strategies for the assessment, particularly on the identification of the critical thought, are discussed.     

Is STEM running out of steam for Asian Americans? College admissions officers' perceptions of applicants

While many people view Asian Americans as ‘model minorities’ who excel in math, science and music, they are also negatively stereotyped as nerdy and unsociable. Research has shown that Asian Americans have to outperform other races academically to receive equal consideration by colleges. This study is the first to test whether this bias is directed towards all Asian Americans or only those who fit the model minority stereotype. The present experiment investigates the effect of race and stereotypes on perceptions of students in the college admission process. College admission officers (N = 79) were randomly assigned to view a shortened version of a college application. The participants rated the student whose application they saw according to likelihood of being accepted into college, social competence, academic competence and contribution to a college's diversity. The stereotypical Asian American student was perceived to be significantly less likely to be accepted into college and had a lower perceived social competence than the other three students. Additionally, students who participated in counter‐stereotypical Asian activities were perceived as being more likely to be accepted, more socially competent and to contribute more diversity than students who participated in stereotypical Asian activities. A multiple regression revealed that social competence was the only significant predictor of likely acceptance. This study suggests that rather than all Asian American students being disadvantaged in the college admissions process, it is only those who fit common stereotypes who are affected.     

Using Percentile Schedules to Increase Academic Fluency

After a learner becomes accurate with a task, fluency must be shaped over time to reach the target goal. However, shaping criteria can be somewhat arbitrary; thus, an objective criteria has the potential to improve implementation consistency. One such method is through the use of percentile schedules. The purpose of the current study was to use a percentile schedule as a means of determining the reinforcement criterion to improve the fluency for three academic tasks. The participant was a 14‐year‐old boy diagnosed with developmental disabilities. The use of the percentile schedule based reinforcement criterion resulted in increased fluency with two of the three academic tasks. This study suggests that percentile schedules may provide an objective criterion for improving fluency. Copyright © 2016 John Wiley & Sons, Ltd.     

THE FUNCTIONS OF ASSESSMENT: IMPLICATIONS FOR SELECTION AND DEVELOPMENT OF DEVICES FOR ASSESSING REPERTOIRES IN CLINICAL,EDUCATIONAL, AND OTHER SETTINGS

An attempt is made to identify the many different functions that assessment of an individual's repertoire can serve. Implications of these functions for the character of and evidence about assessment devices are suggested. The functions fall into two general groups, those which influence decisions regarding an individual learner, and those which influence policy, program development, and scientific knowledge. The first group of functions is presented in a rough chronological sequence such that they form a “behavioral assessment funnel,” beginning with functions involving broad-band assessment to identify likely persons and skill areas, and narrowing to the precise pinpointing, monitoring, and follow-up functions. The contribution of behavior analysis and behavior therapy to assessment methodology in this sequence is identified as well as the areas where more traditionally conceived methods are still useful. The second group of functions and behavioral contributions to it are then discussed.     

Parsing to Learn

Learning a language by parameter setting is almost certainly less onerous than composing a grammar from scratch. But recent computational modeling of how parameters are set has shown that it is not at all the simple mechanical process sometimes imagined. Sentences must be parsed to discover the properties that select between parameter values. But the sentences that drive learning cannot be parsed with the learner's current grammar. And there is not much point in parsing them with just one new grammar. They must apparently be parsed with all possible grammars, in order to find out which one is most successful at licensing the language. The research task is to reconcile this with the fact that the human sentence parsing mechanism, even in adults, has only very limited parallel parsing capacity. I have proposed that all possible grammars can be folded into one, if parameter values are fragments of sentential tree structures that the parser can make use of where necessary to assign a structure to an input sentence. However, the problem of capacity limitations remains. The combined grammar will afford multiple analyses for some sentences, too many to be computed on-line. I propose that the parser computes only one analysis per sentence but can detect ambiguity, and that the learner makes use of unambiguous input only. This provides secure information but relatively little of it, particularly at early stages of learning where few grammars have been excluded and ambiguity is rife. I consider three solutions: improving the parser's ability to extract unambiguous information from partially ambiguous sentences, assuming default parameter values to temporarily eliminate ambiguity, reconfiguring the parameters so that some are subordinate to others and do not present themselves to the learner until the others have been set. A more radical alternative is to give up the quest for error-free learning and permit parameters to be set without regard for whether the parser may have overlooked an alternative analysis of the sentence. If it can be assumed that the human parser keeps a running tally of the parameter values it has accessed, then the learner would do nothing other than parse sentences for comprehension, as adults do. The most useful parameter values would become more and more easily accessed; the noncontributors would drop out of the running. There would be no learning mechanism at all, over and above the parser. But how accurate this system would be remains to be established.     

Object‐Label‐Order Effect When Learning From an Inconsistent Source

Learning in natural environments is often characterized by a degree of inconsistency from an input. These inconsistencies occur, for example, when learning from more than one source, or when the presence of environmental noise distorts incoming information; as a result, the task faced by the learner becomes ambiguous. In this study, we investigate how learners handle such situations. We focus on the setting where a learner receives and processes a sequence of utterances to master associations between objects and their labels, where the source is inconsistent by design: It uses both “correct” and “incorrect” object‐label pairings. We hypothesize that depending on the order of presentation, the result of the learning may be different. To this end, we consider two types of symbolic learning procedures: the Object‐Label (OL) and the Label‐Object (LO) process. In the OL process, the learner is first exposed to the object, and then the label. In the LO process, this order is reversed. We perform experiments with human subjects, and also construct a computational model that is based on a nonlinear stochastic reinforcement learning algorithm. It is observed experimentally that OL learners are generally better at processing inconsistent input compared to LO learners. We show that the patterns observed in the learning experiments can be reproduced in the simulations if the model includes (a) an ability to regularize the input (and also to do the opposite, i.e., undermatch) and (b) an ability to take account of implicit negative evidence (i.e., interactions among different objects/labels). The model suggests that while both types of learners utilize implicit negative evidence in a similar way, there is a difference in regularization patterns: OL learners regularize the input, whereas LO learners undermatch. As a result, OL learners are able to form a more consistent system of image‐utterance associations, despite the ambiguous learning task.     

Video game addiction in children and teenagers in Taiwan.

Video game addiction in children and teenagers in Taiwan is associated with levels of animosity, social skills, and academic achievement. This study suggests that video game addiction can be statistically predicted on measures of hostility, and a group with high video game addiction has more hostility than others. Both gender and video game addiction are negatively associated with academic achievement. Family function, sensation seeking, gender, and boredom have statistically positive relationships with levels of social skills. Current models of video game addiction do not seem to fit the findings of this study.     

Publish or Perish

Funds and positions in philosophy should be awarded through systems that are reliable, objective, and efficient. One question usually taken to be relevant is how many publications people have in a group of well‐respected journals. In the context of significant competition for jobs and funding, however, relying on quantity of publications creates a serious downside: the oft‐lamented demand that we publish or perish. This article offers a systematic review of the problems involved in contemporary academic philosophy, and argues that the resulting situation is bad not just for individual philosophers but also for philosophy itself: we are not working as a discipline to as high a standard as we might. The article then suggests some potential solutions, including some more detailed considerations around what seems a particularly promising option: a professional code of conduct for philosophers.     

Automatic grading and hinting in open-ended text questions

Open-ended text questions provide better assessment of learner’s knowledge, but analysing answers for this kind of questions, checking their correctness, and generating of detailed formative feedback about errors for the learner are more difficult and complex tasks than for closed-ended questions like multiple-choice.The analysis of answers for open-ended questions can be performed on different levels. Analysis on character level allows to find errors in characters’ placement inside a word or a token; it is typically used to detect and correct typos, allowing to differ typos from actual errors in the learner’s answer. The word-level or token-level analysis allows finding misplaced, extraneous, or missing words in the sentence. The semantic-level analysis is used to capture formally the meaning of the learner’s answer and compare it with the meaning of the correct answer that can be provided in a natural or formal language. Some systems and approaches use analysis on several levels.The variability of the answers for open-ended questions significantly increases the complexity of the error search and formative feedback generation tasks. Different types of patterns including regular expressions and their use in questions with patterned answers are discussed. The types of formative feedback and modern approaches and their capabilities to generate feedback on different levels are discussed too.Statistical approaches or loosely defined template rules are inclined to false-positive grading. They are generally lowering the workload of creating questions, but provide low feedback. Approaches based on strictly-defined sets of correct answers perform better in providing hinting and answer-until-correct feedback. They are characterised by a higher workload of creating questions because of the need to account for every possible correct answer by the teacher and fewer types of detected errors.The optimal choice for creating automatised e-learning courses are template-based open-ended question systems like OntoPeFeGe, Preg, METEOR, and CorrectWriting which allows answer-until-correct feedback and are able to find and report various types of errors. This approach requires more time to create questions, but less time to manage the learning process in the courses once they are run.     

Predicting the Underlying Factors of Academic Dishonesty among Undergraduates in Public Universities: A Path Analysis Approach

Building on the modified theory of planned behavior (TPB), this study examined the underlying psychological motives for academic dishonesty in a sample of 250 undergraduates drawn from three selected Malaysian public universities. The results yielded additional supports for usefulness of modified TPB model in predicting academic misconduct. All components of the model exerted statistically significant effects on intention towards academic misconduct, and intention itself exerted a statistically significant impact on academic dishonesty. This suggests that students’ academic misconducts could be addressed effectively if proper attention is given to the underpinning factors. Further, the findings revealed that the hypothesized relationships among variables of the modified model were all statistically significant. The uniqueness of this study lies in the large amount of variance (69 % and 75 %) explained by components of the model (in the prediction of intention and academic dishonesty respectively). These variances have rarely been accounted for in the previous studies. Implications of the findings are discussed and suggestions advanced for future studies.     

Teaching Psychological Assessment: Training issues and Teaching Approaches

Clinical psychology graduate programs need to pay attention to important issues involved in teaching psychological assessment, if graduate students are to be adequately prepared. Recent studies have suggested a gap between academic training in psychological assessment and internship expectations. Graduate students are not as well prepared as many internship settings would like. In addition to learning the fundamentals, students need help in dealing with issues of categorizing individuals, using tests in helpful ways, taking responsibility for decision-making, and developing a balance between critical evaluation of tests and appreciation of their usefulness. Teaching approaches for dealing with these issues are discussed. The importance of academic and clinical agencies working together is stressed. Goals for graduate training in assessment are suggested.     

Teaching psychological assessment: training issues and teaching approaches

Clinical psychology graduate programs need to pay attention to important issues involved in teaching psychological assessment, if graduate students are to be adequately prepared. Recent studies have suggested a gap between academic training in psychological assessment and internship expectations. Graduate students are not as well prepared as many internship settings would like. In addition to learning the fundamentals, students need help in dealing with issues of categorizing individuals, using tests in helpful ways, taking responsibility for decision-making, and developing a balance between critical evaluation of tests and appreciation of their usefulness. Teaching approaches for dealing with these issues are discussed. The importance of academic and clinical agencies working together is stressed. Goals for graduate training in assessment are suggested.     

A Bayesian framework for word segmentation: Exploring the effects of context

Since the experiments of Saffran et al. [Saffran, J., Aslin, R., & Newport, E. (1996). Statistical learning in 8-month-old infants. Science, 274, 1926-1928], there has been a great deal of interest in the question of how statistical regularities in the speech stream might be used by infants to begin to identify individual words. In this work, we use computational modeling to explore the effects of different assumptions the learner might make regarding the nature of words - in particular, how these assumptions affect the kinds of words that are segmented from a corpus of transcribed child-directed speech. We develop several models within a Bayesian ideal observer framework, and use them to examine the consequences of assuming either that words are independent units, or units that help to predict other units. We show through empirical and theoretical results that the assumption of independence causes the learner to undersegment the corpus, with many two- and three-word sequences (e.g. what’s that, do you, in the house) misidentified as individual words. In contrast, when the learner assumes that words are predictive, the resulting segmentation is far more accurate. These results indicate that taking context into account is important for a statistical word segmentation strategy to be successful, and raise the possibility that even young infants may be able to exploit more subtle statistical patterns than have usually been considered.     

Discovering syntactic deep structure via Bayesian statistics

In the Bayesian framework, a language learner should seek a grammar that explains observed data well and is also a priori probable. This paper proposes such a measure of prior probability. Indeed it develops a full statistical framework for lexicalized syntax. The learner's job is to discover the system of probabilistic transformations (often called lexical redundancy rules) that underlies the patterns of regular and irregular syntactic constructions listed in the lexicon. Specifically, the learner discovers what transformations apply in the language, how often they apply, and in what contexts. It considers simpler systems of transformations to be more probable a priori. Experiments show that the learned transformations are more effective than previous statistical models at predicting the probabilities of lexical entries, especially those for which the learner had no direct evidence.     

Functional Impairment in Latino Children with ADHD: Implications for Culturally Appropriate Conceptualization and Measurement

Conceptualizing and measuring functional impairment related to childhood ADHD, particularly within the rapidly growing, yet underserved, Latino population, is an important area of research that is in its infancy in the field of psychology. The functional impairments related to academic achievement, social competence, and familial relations experienced by children with ADHD lead to long-lasting and debilitating difficulties that adversely affect the individuals themselves, their families, and society. In addition, limited available research suggests that Latino children are at a great or greater risk for developing ADHD, although they are much less likely to be identified by their parents as displaying problematic behavior and subsequently are less likely to receive proper assessment and treatment due to several practical and cultural factors. Fortunately, initial evidence suggests that the construct of functional impairment may be a more universal notion than the potentially culturally biased measurement of symptomatology. Therefore, in order to provide the best possible outcomes for all children with ADHD, research needs to be expanded to include examination of functional impairment related to ADHD, particularly when working with Latino children and their families. Thus, the primary aim of the current review is to examine and critique how the field of psychology has understood and measured functional impairment in school-aged Latino children with ADHD to date. Based on information reviewed, suggestions for moving toward a culturally modified assessment of functional impairment related to ADHD in Latino children will be proposed. This work is a necessary step toward providing culturally appropriate services for a currently underserved, yet rapidly growing, Latino population in our country.     

Creativity versus conscientiousness: which is a better predictor of student performance?

This paper examines the extent to which the incremental validity of creative thinking (over and above personality) in the prediction of academic performance may be a function of assessment methods. British university students (N = 307) completed the Alternate Uses Test and Big Five personality inventory at the beginning of the first academic year. Students' academic performance was assessed throughout a 4‐year period via written exams, continuous assessment (tutored seminars) and a supervised dissertation in the final year. Creative thinking was more related to final dissertation marks than to exam and continuous assessment performance (which were associated with Conscientiousness, rather than creative thinking). A follow‐up questionnaire on preferences for different assessment methods revealed that creative thinking was positively related to preference for viva voce (oral) exams, group projects and final dissertation, but negatively associated with preferences for multiple‐choice and essay‐type exams, as well as continuous assessment. Implications are discussed with regard to educational settings, in particular assessment methods. Copyright © 2005 John Wiley & Sons, Ltd.     

Academic self‐handicapping: Relationships with learning specific and general self‐perceptions and academic performance over time

Background. Academic self‐handicapping (ASH) tendencies, strategies students employ that increase their chances of failure on assessments while protecting self‐esteem, are correlated with classroom goal structures and to learners' general self‐perceptions and learning strategies. In particular, greater ASH is related to poorer academic performance but has yet to be examined with respect to learners' performance across a series of tests. Aims. This research was designed to examine the relationship between students' ASH tendencies and their self‐concept clarity, learning strategies, and performance on a series of tests in a university course. Sample. A total of 209 (153 female; 56 male) Canadian university psychology students participated in this study. Methods. Participants' ASH tendencies, self‐concept clarity, approaches to learning, and self‐regulatory learning strategies were assessed along with expected grades and hours of study in the course from which they were recruited. Finally, students' grades were obtained for the three tests for the course from which they were recruited. Results. Students reporting greater self‐handicapping tendencies reported lower self‐concept clarity, lower academic self‐efficacy, greater test anxiety, more superficial learning strategies, and scored lower on all tests in the course. The relationships of ASH scores and learner variables with performance varied across the three performance indices. In particular, ASH scores were more strongly related to second and third tests, and prior performances were accounted for. ASH scores accounted for a relatively small but significant proportion of variance for all three tests. Conclusions. These results showed that ASH is a unique contributing factor in student performance outcomes, and may be particularly important after students complete the initial assessment in a course.     

Success modulates consolidation of a visuomotor adaptation task

Consolidation is a time-dependent process that is responsible for the storage of information in long-term memory. As such, it plays a crucial role in motor learning. Prior research suggests that some consolidation processes are triggered only when the learner experiences some success during practice. In the present study, we tested whether consolidation processes depend on the objective performance of the learner or on the learner's subjective evaluation of his or her own performance (i.e., how successful the learner believes he or she is). Four groups of participants performed 2 sessions of a visuomotor adaptation task for which they had to learn a new internal model of limb kinematics; these sessions were either 5 min or 24 hr apart. The task was identical for all participants, but each group was given a difficult or an easy objective that affected the participants' evaluation of their own performance during the initial practice session. All groups adapted their movements similarly to the rotation of the visual feedback during the first session. However, when retested the following day, participants who had a 24-hr rest interval and had initially experienced success performed significantly better than those who did not feel successful or who were given a 5-min rest interval. Our results indicate that a certain level of subjective success must be experienced to trigger certain consolidation processes.