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 expertise reversal effect is a variant of the more general element interactivity effect

© 2016, Springer Science+Business Media New York. Within the framework of cognitive load theory, the element interactivity and the expertise reversal effects usually are not treated as closely related effects. We argue that the two effects may be intertwined with the expertise reversal effect constituting a particular example of the element interactivity effect. Specifically, the element interactivity effect relies on changes in element interactivity due to changes in the type of material being learned, while the expertise reversal effect also relies on changes in relative levels of element interactivity but in this case, due to changes in relative levels of expertise. If so, both effects rely on equivalent changes in element interactivity with the changes induced by different factors. Empirical evidence is used to support this contention

Enhancing the Acquisition and Retention of the Navajo Language using Computer-based Instruction and the Effects of Static Pedagogical Agents and Gamification Practice

abstract: The purpose of this study was to investigate the effects of static pedagogical agents (included and excluded) and gamification practice (included and excluded) on vocabulary acquisition and perceptions of cognitive load by junior high students who studied Navajo language via computer-based instructional program. A total of 153 students attending a junior high school in the southwestern United States were the participants for this study. Prior to the beginning of the study, students were randomly assigned to one of four treatment groups who used a Navajo language computer-based program that contained a combination of static pedagogical agent (included and excluded) and gamification practice (included and excluded). There were two criterion measures in this study, a vocabulary acquisition posttest and a survey designed both to measure students’ attitudes toward the program and to measure cognitive load. Anecdotal observations of students’ interactions were also examined. Results indicated that there were no significant differences in posttest scores among treatment conditions; students were, however, generally successful in learning the Navajo vocabulary terms. Participants also reported positive attitudes toward the Navajo language content and gamification practice and expressed a desire to see additional content and games during activities of this type. These findings provide evidence of the impact that computer-based training may have in teaching students an indigenous second language. Furthermore, students seem to enjoy this type of language learning program. Many also indicated that, while static agent was not mentioned, gamification practice may enhance students’ attitudes in such instruction and is an area for future research. Language learning programs could include a variety of gamification practice activities to assist student to learn new vocabulary. Further research is needed to study motivation and cognitive load in Navajo language computer-based training.Dissertation/ThesisDoctoral Dissertation Educational Technology 201

Fostering reflection in the training of speech-receptive action

Dieser Aufsatz erörtert Möglichkeiten und Probleme der Förderung kommunikativer Fertigkeiten durch die Unterstützung der Reflexion eigenen sprachrezeptiven Handelns und des Einsatzes von computerunterstützten Lernumgebungen für dessen Förderung. Kommunikationstrainings widmen sich meistens der Förderung des beobachtbaren sprachproduktiven Handelns (Sprechen). Die individuellen kognitiven Prozesse, die dem sprachrezeptiven Handeln (Hören und Verstehen) zugrunde liegen, werden häufig vernachlässigt. Dies wird dadurch begründet, dass sprachrezeptives Handeln in einer kommunikativen Situation nur schwer zugänglich und die Förderung der individuellen Prozesse sprachrezeptiven Handelns sehr zeitaufwändig ist. Das zentrale Lernprinzip - die Reflexion des eigenen sprachlich-kommunikativen Handelns - wird aus verschiedenen Perspektiven diskutiert. Vor dem Hintergrund der Reflexionsmodelle wird die computerunterstützte Lernumgebung CaiMan© vorgestellt und beschrieben. Daran anschließend werden sieben Erfolgsfaktoren aus der empirischen Forschung zur Lernumgebung CaiMan© abgeleitet. Der Artikel endet mit der Vorstellung von zwei empirischen Studien, die Möglichkeiten der Reflexionsunterstützung untersucheThis article discusses the training of communicative skills by fostering the reflection of speech-receptive action and the opportunities for using software for this purpose. Most frameworks for the training of communicative behavior focus on fostering the observable speech-productive action (i.e. speaking); the individual cognitive processes underlying speech-receptive action (hearing and understanding utterances) are often neglected. Computer-supported learning environments employed as cognitive tools can help to foster speech-receptive action. Seven success factors for the integration of software into the training of soft skills have been derived from empirical research. The computer-supported learning environment CaiMan© based on these ideas is presented. One central learning principle in this learning environment reflection of one's own action will be discussed from different perspectives. The article concludes with two empirical studies examining opportunities to foster reflecti

Exploration of concise redundancy in online multimedia learning

With the rapid growth of multimedia in education, the importance of investigating the effect of redundancy, repeating instructional messages to enhance conceptualization in instructional material design, is becoming more important. Various studies have been conducted recently regarding the effects of different forms of redundancy. A multimedia lesson presenting concurrent on-screen text, still graphics or animations, and narration is a typical setting in redundancy research. Concise redundancy is the revision of the on-screen text into a concise form which is presented to the learners concurrently with visualizations and narration. The purpose of this study was to investigate, while controlling for spatial ability, the effects of concise redundancy on students\u27 retention and confidence when learning with highly complex multimedia materials. In addition, the effects of animation or still graphics along with text redundancy were examined. No significant differences were found between the graphic presentations (animation or series of stills) and text redundancy groups (full, concise, or none) on retention or levels of confidence. When examining the results taking into account high and low spatial abilities, no significant differences were found in terms of different graphic presentation (animation or series of stills) and different text redundancy groups (full, concise, or none). However, in one condition, low spatial ability learners exhibited significantly higher levels of confidence than high spatial ability learners when learning with narrated static graphics and concise redundancy. The current study should provide further guidance for researchers who are interested in examining narrated multimedia lessons containing concise redundancy when comparing static graphics to animated graphics

Explicit Feedback Within Game-based Training: Examining The Influence Of Source Modality Effects On Interaction

This research aims to enhance Simulation-Based Training (SBT) applications to support training events in the absence of live instruction. The overarching purpose is to explore available tools for integrating intelligent tutoring communications in game-based learning platforms and to examine theory-based techniques for delivering explicit feedback in such environments. The primary tool influencing the design of this research was the Generalized Intelligent Framework for Tutoring (GIFT), a modular domain-independent architecture that provides the tools and methods to author, deliver, and evaluate intelligent tutoring technologies within any training platform. Influenced by research surrounding Social Cognitive Theory and Cognitive Load Theory, the resulting experiment tested varying approaches for utilizing an Embodied Pedagogical Agent (EPA) to function as a tutor during interaction in a game-based environment. Conditions were authored to assess the tradeoffs between embedding an EPA directly in a game, embedding an EPA in GIFT’s browser-based Tutor-User Interface (TUI), or using audio prompts alone with no social grounding. The resulting data supports the application of using an EPA embedded in GIFT’s TUI to provide explicit feedback during a game-based learning event. Analyses revealed conditions with an EPA situated in the TUI to be as effective as embedding the agent directly in the game environment. This inference is based on evidence showing reliable differences across conditions on the metrics of performance and self-reported mental demand and feedback usefulness items. This research provides source modality tradeoffs linked to tactics for relaying training relevant explicit information to a user based on real-time performance in a game

Cognitive load theory, educational research, and instructional design: some food for thought

Cognitive load is a theoretical notion with an increasingly central role in the educational research literature. The basic idea of cognitive load theory is that cognitive capacity in working memory is limited, so that if a learning task requires too much capacity, learning will be hampered. The recommended remedy is to design instructional systems that optimize the use of working memory capacity and avoid cognitive overload. Cognitive load theory has advanced educational research considerably and has been used to explain a large set of experimental findings. This article sets out to explore the open questions and the boundaries of cognitive load theory by identifying a number of problematic conceptual, methodological and application-related issues. It concludes by presenting a research agenda for future studies of cognitive load

Pedagogical Agents in Interactive Multimedia Modules: Issues of Variability

AbstractThis paper introduces the pedagogical agents and describes its characteristics and roles in multimedia modules. It will also include examples of the use of pedagogical agents in previous studies and effective use of pedagogical agents on learning. Next, pedagogical agent variability in terms of physical (ethnicity, gender, image, voice) and internal features (roles, communication and competency) will be discussed in the context of its impact on learners’ diversity. This is then followed by a discussion and suggestions for further research regarding the effective use of pedagogical agent in multimedia modules