A rational account of pedagogical reasoning: Teaching by,and learning from,examples

Much of learning and reasoning occurs in pedagogical situations—situations in which a person who knows a concept chooses examples for the purpose of helping a learner acquire the concept. We introduce a model of teaching and learning in pedagogical settings that predicts which examples teachers should choose and what learners should infer given a teacher’s examples. We present three experiments testing the model predictions for rule-based, prototype, and causally structured concepts. The model shows good quantitative and qualitative fits to the data across all three experiments, predicting novel qualitative phenomena in each case. We conclude by discussing implications for understanding concept learning and implications for theoretical claims about the role of pedagogy in human learning.     

A reinforcement learning approach to personalized learning recommendation systems

Personalized learning refers to instruction in which the pace of learning and the instructional approach are optimized for the needs of each learner. With the latest advances in information technology and data science, personalized learning is becoming possible for anyone with a personal computer, supported by a data-driven recommendation system that automatically schedules the learning sequence. The engine of such a recommendation system is a recommendation strategy that, based on data from other learners and the performance of the current learner, recommends suitable learning materials to optimize certain learning outcomes. A powerful engine achieves a balance between making the best possible recommendations based on the current knowledge and exploring new learning trajectories that may potentially pay off. Building such an engine is a challenging task. We formulate this problem within the Markov decision framework and propose a reinforcement learning approach to solving the problem.     

自我调节学习:策略型学习者实现自我效能的超越

自我调节学习与自我效能感是当今教育心理学和教学心理学的两个重要概念。自我调节学习是学习者为了保证学习的成功、提高学习的效果、达到学习的目标主动地运用与调控元认知、动机与行为的过程。自我效能感是个体对自己是否能够成功地进行某一成就行为的主观判断,它是直接影响个体自我调控的关键变量。文章在分析策略型学习者与自我调节学习的基础上,认为增强策略型学习者的自我调节学习能力,是实现教育目标的手段,也是策略型学习者实现自我效能超越的重要内容。自我调节学习也是促进学生全面发展,具备适应未来社会生活的终身学习和可持续发展的意识和能力的必然要求。     

Effects of attentional focus and gaze instruction during observational learning of a basketball free-throw

Observational learning has long been used to instruct individuals on how to perform a novice motor skill. Recently, research has shown a benefit to instructing learners to focus externally when viewing a video model (Asadi, Aiken, Heidari, & Kochackpour, 2021). Research has also highlighted the effectiveness of modeling correct gaze behaviors when learning a cognitive task (Jarodzka, van Gog, Dorr, Scheiter, & Gerjets, 2013). The purpose of the present study was to investigate the effectiveness of combining these two modalities. 40 individuals with a mean age of 21.77 ± 1.40 performed a novel motor task where they were asked to either focus internally or externally, and were provided with traditional instruction or were provided with an experienced performer's gaze behaviors while viewing a video demonstration. It was observed that both the external focus groups and the gaze instructed groups performed a basketball free-throw more accurately and had longer periods of quiet eye than an internal focus or traditional verbal instruction (p's < 0.05). Eye tracking also allowed for the assessment of attentional focus adherence. Participants focused on the instructed cues significantly more than irrelevant task aspects or a different focus types (p's < 0.05). These results highlight the effectiveness of cuing a learner to focus externally during observational learning. It also highlights the usefulness of providing correct gaze behaviors when observing a model.     

Kolb学习风格与中国大学生英语/i/-/I/发音的关系

以中国大学生为对象, 在对其英语/i/-/&;#618;/发音进行声学分析的基础上, 从Kolb经验学习模式入手, 结合其他相关学习者因素, 探讨学习风格与英语/i/-/&;#618;/发音的关系。结果显示, 中国学生发音表现个体差异较大, 其发音水平与学习风格紧密相关：吸收型和发散型学习者表现较好, 集中型学习者较差, 适应型学习者最差。另外, 中国学生发音表现与其英语使用和练习量也有显著正相关, 但与英语学习起始年龄和英语教育年限等其他因素都无直接联系。     

The Problems of Heredity and Environment

The study investigated the relationship of five selected traits of authoritarianism, possessed by both college freshmen and their instructors, to student achievement in freshman English when student verbal aptitude was not a factor. The results indicated that student achievement level was affected more by instructor traits than by traits of the students themselves, although student traits did serve to qualify the effect of instructor traits.     

Sticking to the Evidence? A Behavioral and Computational Case Study of Micro‐Theory Change in the Domain of Magnetism

Constructing an intuitive theory from data confronts learners with a “chicken‐and‐egg” problem: The laws can only be expressed in terms of the theory's core concepts, but these concepts are only meaningful in terms of the role they play in the theory's laws; how can a learner discover appropriate concepts and laws simultaneously, knowing neither to begin with? We explore how children can solve this chicken‐and‐egg problem in the domain of magnetism, drawing on perspectives from computational modeling and behavioral experiments. We present 4‐ and 5‐year‐olds with two different simplified magnet‐learning tasks. Children appropriately constrain their beliefs to two hypotheses following ambiguous but informative evidence. Following a critical intervention, they learn the correct theory. In the second study, children infer the correct number of categories given no information about the possible causal laws. Children's hypotheses in these tasks are explained as rational inferences within a Bayesian computational framework.     

Using HyperCard to teach person perception and attribution concepts

HyperCard stacks were used to present and illustrate concepts in person perception and attribution theory. Active participation of learners was maintained through the use of interactive tutorials and simulations requiring frequent learner input. Scanned photographs, cartoons, animations, and diagrams were used to increase learner interest. Two groups of college students were tested after interaction with either the HyperCard stacks or textual materials that presented these concepts to discover the relative effectiveness of the stacks. The HyperCard group scored significantly better on an information test after a 2-h exposure to the material. The same group expressed enthusiasm, enjoyed the study experience, and voiced a desire to have more computer-assisted learning experiences, while the other group found the interaction with textual materials boring and did not look forward to a similar experience in the future.     

Individual differences in concept learning and brain event-related potentials

An irrelevant auditory probe procedure was employed to evoke brain event-related potentials (ERPs) in 56 males while they learned concepts presented to them in study booklets. A mastery test was administered to assess concept acquisition. Ss were divided into two groups according to whether or not their achievement test results were above or below the average score for all learners. A one-way multivariate analysis of variance (MANOVA) was computed for each presentation page employing as multiple dependent measures ERP amplitudes which corresponded to specific concepts. MANOVAs and their subsequent statistics revealed that, as theorized, ERPs evoked at the right frontal, temporal and parietal, as well as the left parietal, regions, significantly distinguished below-from above-average concept learners. As hypothesized, poorer concept learners engaged these hemispheric sites less, and manifested more variability at them, than better learners. It was established that the frontal, temporal and parietal areas which are chiefly implicated in crystallized intelligence are engaged during the actual process of concept learning itself.     

Addressing the struggle to link form and understanding in fractions instruction

Background. Although making explicit links between procedures and concepts during instruction in mathematics is important, it is still unclear the precise moments during instruction when such links are best made. Aims. The objective was to test the effectiveness of a 3‐week classroom intervention on the fractions knowledge of grade 5/6 students. The instruction was based on a theory that specifies three sites during the learning process where concepts and symbols can be connected ( Hiebert, 1984 ): symbol interpretation, procedural execution, and solution evaluation. Sample. Seventy students from one grade 5/6 split and two grade 6 classrooms in two public elementary schools participated. Method. The students were randomly assigned to treatment and control. The treatment (Sites group) received instruction that incorporated specific connections between fractions concepts and procedures at each of the three sites specified by the Sites theory. Before and after the intervention, the students’ knowledge of concepts and procedures was assessed, and a random subsample of 30 students from both conditions were individually interviewed to measure their ability to make specific connections between concepts and symbols at each of the three sites. Results. While all students gained procedural skill (p < .001), the students in the Sites condition acquired significantly more knowledge of concepts than the control group (p < .01) and were also better able to connect fractions symbols to conceptual referents (p < .025). Conclusions. The current study contributes to the literature because it describes when it might be important to link concepts and procedures during fractions instruction.     

College-level instruction: derived relations and programmed instruction

Recent research has demonstrated the effectiveness of programmed instruction that integrates derived relations to teach college-level academic material. This method has been demonstrated to be effective and economical in the teaching of complex mathematics and biology concepts. Although this approach may have potential applications with other domains of college learning, more studies are needed to evaluate important technological variables. Studies that employ programmed instruction are discussed in relation to future directions for research.     

Nonverbal communication during the learner lesson with a professional driving instructor: A novel investigation

BackgroundFundamental for the development of the driving and road use skills of the young driver is learning to drive through driving instruction and, in graduated driver licensing programs such as in Australia, driving supervision. In Queensland young drivers are required to log a minimum of 100 h supervised practice, with recent research revealing that parents provide most of this supervision. Queensland also offers young drivers a 10-h 3-for-1 bonus for professional driving instruction, such that one hour of professional instruction can be logged as three hours of practice, to a maximum of 30 logbook hours. Recent research efforts have begun to provide insight into the nature of the verbal instruction of both parents and professional instructors, and into the nonverbal communication between parents and learners. However nothing is known regarding the nonverbal communication between professional instructors and learners.MethodTen learner lessons (five male learners) with four professional instructors (four males) were captured via GoPro cameras. The nonverbal communication during the first, middle, and last 10 min of each lesson was coded as being posture and body orientation, gestures, facial expressions, proximity, humour, and eye contact, within the context of the accompanying verbal communication according to the value of (a) eager, or (b) cautious; the valence of (a) neutral, (b) positive, or (c) negative; and the purpose of (a) rapport, or (b) communication.ResultsOverall, posture and body orientation was the most common mechanism of nonverbal communication, while facial expressions and proximity were the least common mechanisms of nonverbal communication. In general the beginning, the middle, and the end of the lessons were characterised by a plethora of neutral, cautious interactions, and positive, eager interactions. However it is noteworthy that the rates at which learners and instructors engaged in these behaviours were found to change across the lesson. Specifically learners actively communication nonverbally through mechanisms such as eye contact, facial expressions and humour, while instructors appeared to manage building rapport and communicating safe vehicle and road use through nonverbal communication such as gestures, facial expressions and posture and body orientation, summarised in a model comprising a continuum of instruction.DiscussionWhile nonverbal communication is fundamental for effective verbal communication, and on occasion can replace verbal communication, and as such the professional – and the parental – driving lesson should optimise the use of nonverbal communication, at this time the optimal nature of nonverbal communication remains unknown. In addition, optimal verbal and nonverbal communication specifically suited to the driving context which involves a dynamic environment outside the vehicle, and at times a dynamic environment inside the vehicle, remains yet to be identified. The research findings provide unique insight into the nature of the nonverbal communication used by both learner drivers and professional driving instructors, in addition to the continuum of instruction model. As such, the findings provide a solid foundation for future research into, and guidance regarding, optimising the learner driving lesson.     

The most efficient sequence of study depends on the type of test

Across three experiments featuring naturalistic concepts (psychology concepts) and naïve learners, we extend previous research showing an effect of the sequence of study on learning outcomes, by demonstrating that the sequence of examples during study changes the representation the learner creates of the study materials. We compared participants' performance in test tasks requiring different representations and evaluated which sequence yields better learning in which type of tests. We found that interleaved study, in which examples from different concepts are mixed, leads to the creation of relatively interrelated concepts that are represented by contrast to each other and based on discriminating properties. Conversely, blocked study, in which several examples of the same concept are presented together, leads to the creation of relatively isolated concepts that are represented in terms of their central and characteristic properties. These results argue for the integrated investigation of the benefits of different sequences of study as depending on the characteristics of the study and testing situation.     

Response to instruction, English language learners and disproportionate representation: the role of assessment

Response to Intervention (RtI), a cyclical process that incorporates assessment and instruction, is both an approach to prevent learning difficulties and to establish student eligibility for special education. Assessment results are used to determine students' initial knowledge and skill, their need for successively more intensive levels of instruction, and to gauge their response to the intervention provided. Although this process is preferable to the IQ/achievement discrepancy model for determining the presence of specific learning disabilities, there are still a number of unresolved issues related to the assessment procedures in use. A pressing issue is the identification of measures and procedures that identify students with the greatest precision thus reducing inappropriate identification.     

Productive Failure in Learning Math

When learning a new math concept, should learners be first taught the concept and its associated procedures and then solve problems, or solve problems first even if it leads to failure and then be taught the concept and the procedures? Two randomized‐controlled studies found that both methods lead to high levels of procedural knowledge. However, students who engaged in problem solving before being taught demonstrated significantly greater conceptual understanding and ability to transfer to novel problems than those who were taught first. The second study further showed that when given an opportunity to learn from the failed problem‐solving attempts of their peers, students outperformed those who were taught first, but not those who engaged in problem solving first. Process findings showed that the number of student‐generated solutions significantly predicted learning outcomes. These results challenge the conventional practice of direct instruction to teach new math concepts and procedures, and propose the possibility of learning from one's own failed problem‐solving attempts or those of others before receiving instruction as alternatives for better math learning.     

Effects of Computer-Based Fluency Training on Concept Formation

This study provides a preliminary analysis of how the techniques of fluency training can be combined with systematic concept instruction to improve the learning of complex verbal concepts. Fluency techniques, which require the learner to respond accurately at high rates, have typically focused on definition learning when teaching concepts. Instructional psychologists, however, recommend multiple exemplar training for conceptual instruction. To examine this issue, 41 undergraduate students completed a computer-based instructional module on logical fallacies. Participants were assigned to one of four groups, with the modules for each group differing only in the type of practice provided—either fluency or practice with either examples or definitions. Examination of posttest scores revealed significantly higher scores for participants in the examples groups than those in the definitions groups, but low experimental power prevented a clear conclusion to be drawn about differences between the fluency and practice groups. Implications of results and several methodological issues relevant to this area of research are discussed.     

Using assessment to individualize early mathematics instruction

Accumulating evidence suggests that assessment-informed personalized instruction, tailored to students' individual skills and abilities, is more effective than more one-size-fits-all approaches. In this study, we evaluate the efficacy of Individualizing Student Instruction in Mathematics (ISI-Math) compared to Reading (ISI-Reading) where classrooms were randomly assigned to ISI-Math or ISI-Reading. The literature on child characteristics X instruction or skill X treatment interaction effects point to the complexities of tailoring instruction for individual students who present with constellations of skills. Second graders received mathematics instruction in small flexible learning groups based on their assessed learning needs. Results of the study (n = 32 teachers, 370 students) revealed significant treatment effects on standardized mathematics assessments. With effect sizes (d) of 0.41–0.60, we show that we can significantly improve 2nd graders' mathematics achievement, including for children living in poverty, by using assessment data to individualize the mathematics instruction they receive. The instructional regime, ISI-Math, was implemented by regular classroom teachers and it led to about a 4-month achievement advantage on standardized mathematics tests when compared to students in control classrooms. These results were realized within one school year. Moreover, treatment effects were the same regardless of school-level poverty and students' gender, initial mathematics or vocabulary scores.     

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.     

Optimal Hierarchical Learning Path Design With Reinforcement Learning

E-learning systems are capable of providing more adaptive and efficient learning experiences for learners than traditional classroom settings. A key component of such systems is the learning policy. The learning policy is an algorithm that designs the learning paths or rather it selects learning materials for learners based on information such as the learners’ current progresses and skills, learning material contents. In this article, the authors address the problem of finding the optimal learning policy. To this end, a model for learners’ hierarchical skills in the E-learning system is first developed. Based on the hierarchical skill model and the classical cognitive diagnosis model, a framework to model various mastery levels related to hierarchical skills is further developed. The optimal learning path in consideration of the hierarchical structure of skills is found by applying a model-free reinforcement learning method, which does not require any assumption about learners’ learning transition processes. The effectiveness of the proposed framework is demonstrated via simulation studies.     

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.