Applying science of learning in education: Infusing psychological science into the curriculum

The field of specialization known as the science of learning is not, in fact, one field. Science of learning is a term that serves as an umbrella for many lines of research, theory, and application. A term with an even wider reach is Learning Sciences (Sawyer, 2006). The present book represents a sliver, albeit a substantial one, of the scholarship on the science of learning and its application in educational settings (Science of Instruction, Mayer 2011). Although much, but not all, of what is presented in this book is focused on learning in college and university settings, teachers of all academic levels may find the recommendations made by chapter authors of service. The overarching theme of this book is on the interplay between the science of learning, the science of instruction, and the science of assessment (Mayer, 2011). The science of learning is a systematic and empirical approach to understanding how people learn. More formally, Mayer (2011) defined the science of learning as the “scientific study of how people learn” (p. 3). The science of instruction (Mayer 2011), informed in part by the science of learning, is also on display throughout the book. Mayer defined the science of instruction as the “scientific study of how to help people learn” (p. 3). Finally, the assessment of student learning (e.g., learning, remembering, transferring knowledge) during and after instruction helps us determine the effectiveness of our instructional methods. Mayer defined the science of assessment as the “scientific study of how to determine what people know” (p.3). Most of the research and applications presented in this book are completed within a science of learning framework. Researchers first conducted research to understand how people learn in certain controlled contexts (i.e., in the laboratory) and then they, or others, began to consider how these understandings could be applied in educational settings. Work on the cognitive load theory of learning, which is discussed in depth in several chapters of this book (e.g., Chew; Lee and Kalyuga; Mayer; Renkl), provides an excellent example that documents how science of learning has led to valuable work on the science of instruction. Most of the work described in this book is based on theory and research in cognitive psychology. We might have selected other topics (and, thus, other authors) that have their research base in behavior analysis, computational modeling and computer science, neuroscience, etc. We made the selections we did because the work of our authors ties together nicely and seemed to us to have direct applicability in academic settings

The effect of leads on cognitive load and learning in a conceptually rich hypertext environment

The purpose of this experiment was to determine whether leads affect cognitive load and learning from conceptually rich hypertext. Measures of cognitive load included self-report of mental effort, reading time, and event-related desynchronization percentage of alpha, beta, and theta brain wave rhythms. Conceptual and structural knowledge tests, as well as a recall measure were used to determine learning performance. Measures of learners\u27 reading ability, prior knowledge, and metacognitive awareness were employed to establish the effect of individual differences on cognitive load and learning from traditional and lead-augmented hypertext. Results demonstrated that while leads appeared to reduce brain wave activity associated with split attention, processing of redundant information contained in hypertext nodes may have increased extraneous cognitive load, and decreased germane load that is required for learning to take place. Whereas the benefits of leads relative to cognitive load and learning may have been mediated by the redundancy effect, learners with better developed metacognitive skills tended to use leads as a tool to review information in the linked nodes while revisiting content in the primary text passage. Limitations of the currently available cognitive load measures are discussed as applied to direct assessment of this theoretical construct

Consecutive Interpretation: A Discourse Approach. Towards a Revision of Gile’s Effort Model

In reality, expert interpreters from time to time do successfully tide over the gap between the capacity required and capacity available in dealing with extraordinarily large segments in consecutive interpretation. These exceptional cases imply that Gile’s Effort Model does not always hold and requires to be supplemented. This paper attempts to: 1) advance a solution to the dilemma that, in processing large segments in consecutive interpreting, the working memory capacity available is more often than not smaller than the capacity required, hence supplementing Gile’s Effort Model; 2) specify the rules of discourse transformation in consecutive interpretation; based upon the features of memory and consecutive interpretation, we deem that each segment, be it large or small, shall be processed as a discourse, the transformation of which is presumed to be the said solution; 3) and subsequently identify the optimal discourse transformation model, which is both capable of embodying the source text to the largest extent possible and achievable in terms of memory load. In addition, the author, through an observational study, justified the hypothesis. The validity of this theory, however, still requires further experimental evidence.En situation réelle d’interprétation consécutive, les interprètes professionnels peuvent, à l’occasion, réussir à combler l’écart entre la capacité mémorielle nécessaire et la capacité disponible lorsqu’ils traitent des segments extrêmement longs. L’existence de ces cas exceptionnels implique que le modèle d’efforts de Gile ne peut toujours s’appliquer et qu’il faut le compléter. Le présent article a trois objectifs. Premièrement, il cherche à proposer une solution à ce problème. Deuxièmement, il vise à spécifier les règles de transformation discursive en contexte d’interprétation consécutive. Se fondant sur les propriétés de la mémoire et les caractéristiques de l’interprétation consécutive, nous considérons que chaque segment, qu’il soit court ou long, sera traité en tant que discours, pour laquelle on présume que la transformation résultante est la solution. Troisièmement, il vise à définir un modèle de transformation discursive optimal, qui puisse tout à la fois rendre au maximum le texte source et être réaliste en termes de charge mémorielle. Bien que l’auteur justifie son hypothèse en s’appuyant sur une étude observationnelle, d’autres données expérimentales sont nécessaires pour valider la théorie proposée

Does Speech-To-Text Assistive Technology Improve the Written Expression of Students with Traumatic Brain Injury?

Traumatic Brain Injury outcomes vary by individual due to age at the onset of injury, the location of the injury, and the degree to which the deficits appear to be pronounced, among other factors. As an acquired injury to the brain, the neurophysiological consequences are not homogenous; they are as varied as the individuals who experience them. Persistent impairment in executive functions of attention, initiation, planning, organizing, and memory are likely to be present in children with moderate to severe TBIs. Issues with sensory and motor skills, language, auditory or visual sensation changes, and variations in emotional behavior may also be present. Germane to this study, motor dysfunction is a common long-term sequelae of TBI that manifests in academic difficulties. Borrowing from the learning disability literature, children with motor dysfunction are likely to have transcription deficits, or deficits related to the fine-motor production of written language. This study aimed to compare the effects of handwriting with an assistive technology accommodation on the writing performance of three middle school students with TBIs and writing difficulties. The study utilized an alternating treatments design (ATD), comparing the effects of handwriting responses to story prompts to the use of speech-to-text AT to record participant responses. Speech-to-text technology, like Dragon Naturally Speaking converts spoken language into a print format on a computer screen with a high degree of accuracy. In theory, because less effort is spent on transcription, there is a reduction in cognitive load, enabling more time to be spent on generation skills, such as idea development, selecting more complex words that might be otherwise difficult to spell, and grammar. Overall, all three participants showed marked improvement with the application of speech-to-text AT. The results indicate a positive pattern for the AT as an accommodation with these children that have had mild-to-moderate TBIs as compared to their written output without the AT accommodation. The findings of this study are robust. Through visual analysis of the results, it is evident that the speech-to-text dictation condition was far superior to the handwriting condition (HW) with an effect size that ranged + 3.4 to + 8.8 across participants indicating a large treatment effect size. Perhaps more impressive, was 100 percent non-overlap of data between the two conditions across participants and dependent variables. The application of speech-to-text AT resulted in significantly improved performance across writing indicators in these students with a history of TBIs. Speech-to-Text AT may prove to be an excellent accommodation for children with TBI and fine motor skill deficits. The conclusions drawn from the results of this study indicate the Speech-to-Text AT was more effective than a handwriting condition for all three participants. By providing this AT, these students each improved in the quality, construction, and duration of their written expression as evidenced in the significant gains in TWW, WSC, and CWS

Validation and Perceptions of an Advance organizer on Main Elements of Research: Philosophical Assumptions, Paradigms, and Praxis

Novice researchers lack an understanding of philosophical assumptions, paradigms, and praxis (3Ps) and their relationships with each other in research. As a result, the lack of understanding and application of the 3Ps components by novice researchers undermines confidence in the rigor and trustworthiness of their research. This study focused on filling this gap by providing a learning tool (Advance Organizer – AO) that contributes to developing knowledge of 3Ps in novice researchers. To achieve this, a two phased study was conducted. The first phase used a Delphi technique to collect data of the design of the AO in three rounds with instructional design experts, while the second phase, used semi-structured interviews with novice researchers to conduct a user test of the AO.Phase 1 produced evidence from instructional design experts that the principles of multimedia learning (i.e., coherence, signaling, spatial contiguity, segmenting, pre-training, modality, multimedia, personalization) have been used to a great extent in 3Ps AO. This reduced the external cognitive load, the management of the intrinsic cognitive load, and an increase in the germane cognitive load. Instructional design experts have also voiced their opinion of the 3Ps AO as a helpful learning tool for novice researchers. The results of phase 2 revealed that novice researchers, with either lower or higher experiences in research, faced challenges in understanding the 3Ps of the research. They described these components interchangeably and in unstructured ways, sometimes incorrectly. After reviewing the 3Ps learning tool, novices showed positive impressions and results during final conversations about the 3Ps. In short, instructional design experts and novice researchers alike expressed that the 3Ps AO is a helpful learning

The Impact of Video-Based Whole Group Lessons on Place, Manner, and Voicing of Speech Sounds on Reading Achievement

The purpose of this study was to determine if students who received video-based lessons of the place, manner, and voicing (PMV) of speech sounds demonstrated gains on reading achievement compared to students who did not receive the intervention. A quantitative, quasi-experimental study with a pretest, posttest was developed, using the instrumentation of the reading Measures of Academic Progress (MAP). This study addressed gaps in the existing research regarding the impact of video-based instruction of speech sounds on reading achievement. Participants in this study (n=136) were drawn from a convenience sample of kindergarten students attending two elementary schools within the same school district during the 2022-2023 school year. Over the 2022-2023 school year, video lessons on place, manner, and voicing of speech sounds aligned with the district’s reading curriculum were provided to the experimental school’s kindergarten teachers to play for their students. The control school students received standard instruction. Data was collected via a records review following the fall 2022 and spring 2023 reading MAP. Each participant served as their own control, and the analysis of covariance (ANCOVA) was used to analyze the MAP data. The results of the study found a statistically significant difference in overall reading MAP and foundational skills MAP between the control and experimental groups when controlling for prior reading achievement. This study found evidence to support the incorporation of video-based, whole group lessons of PMV on reading achievement. Recommendations for future research include expanding the current study to more schools within the district, region, and state

Getting the point: tracing worked examples enhances learning

Embodied cognition perspectives suggest that pointing and tracing with the index finger may support learning, with basic laboratory research indicating such gestures have considerable effects on information processing in working memory. The present thesis examined whether tracing worked examples could enhance learning through decreased intrinsic cognitive load. In Experiment 1, 56 Year 6 students (mean age = 11.20, SD = .44) were presented with either tracing or no-tracing instructions on parallel lines relationships. The tracing group solved more acquisition phase practice questions and made fewer test phase errors, but otherwise test results were limited by ceiling effects. 42 Year 5 students (mean age = 10.50, SD = .51) were recruited in Experiment 2 to better align the materials with students’ knowledge levels. The tracing group outperformed the non-tracing group at the test and reported lower levels of test difficulty, interpreted as lower levels of intrinsic cognitive load. Experiment 3 recruited 52 Year 6 and Year 7 students (mean age = 12.04, SD = .59) presented with materials on angle relationships of a triangle; the tracing effect was replicated on test scores and errors, but not test difficulty. Experiment 4 used the parallel lines materials to test hypothesized gradients across experimental conditions with 72 Year 5 students (mean age = 9.94, SD = .33), predicting the tracing on the paper group would outperform the tracing above the paper group, who in turn would outperform the non-tracing group. The hypothesized gradient was established across practice questions correctly answered, practice question errors, test questions correctly answered, test question time to solution, and test difficulty self-reports. The results establish that incorporating the haptic input into worked example-based instruction design enhances the worked example effect and that tracing worked examples is a natural, simple yet effective way to enhance novices’ mathematics learning