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

Towards a Framework for Metacognition in Game-Based Learning

\u3cp\u3eGame-based learning can motivate learners and help them to acquire new knowledge in an active way. However, it is not always clear for learners how to learn effectively and efficiently within game-based learning environments. As metacognition comprises the knowledge and skills that learners employ to plan, monitor, regulate, and evaluate their learning, it plays a key role in improving their learning in general. Thus, if we want learners to become better at learning through game-based learning, we need to investigate how metacognition can be integrated into the design of game-based learning environments. In this paper we introduce a framework that aids designers and researchers to formally specify the design of game-based learning environments encouraging metacognition. With a more formal specification of the metacognitive objectives and the way the training design and game design aims to achieve these goals, we can learn more through analysing and comparing different approaches. The framework consists of design dimensions regarding metacognitive outcomes, metacognitive training, and metacognitive game design. Each design dimension represents two opposing directions for the design of a game-based learning environment that are likely to affect the encouragement of metacognitive awareness within learners. As such, we introduce a formalised method to design, evaluate and compare games addressing metacognition, thus enabling both researchers and designers to create more effective games for learning in the future.\u3c/p\u3

MeCo: a digital card game to enhance metacognitive awareness

\u3cp\u3eA key concept within 21st-century skills is knowing how to acquire new knowledge and skills. Metacognition is the knowledge a person has of their own learning combined with the skills to apply that knowledge to enable more efficient and effective learning. Game-based learning can stimulate motivation as well as learning, but while various reviews have pointed out the opportunity for digital games to promote metacognition, little is known about how games can be designed to accomplish this. If we want learners to become better at learning with games, we need to investigate how metacognition can be supported and trained through game-based learning. Previous research has identified generic principles for designing metacognitive training, while only a few principles specific to game-based learning have been suggested. We designed the mobile game MeCo based on these design principles. MeCo was inspired by the mobile game Reigns and replicates its mechanic of exploring a dynamically branching story through choice-making by swiping cards left or right. However, in MeCo the objective is to learn as much as possible about different planets and their inhabitants, by planning, performing, and evaluating space exploration missions. Two metacognitive interventions were added to promote the transfer of metacognition to real-world learning situations: metacognitive question prompts and metacognitive feedback. A preliminary evaluation of the game was conducted using questionnaires and focus groups. Players found the game motivating enough to engage with the story and to be willing to play the game in their free time. Furthermore, they found that their in-game choices mattered, although more linear parts were preferred over more dynamically branching parts of the game. However, the humour in the narrative interfered with the more serious nature of metacognitive questions, resulting in players not taking the questions seriously enough to have an impact on metacognitive awareness. The implications for designing motivating digital games to enhance metacognition are discussed.\u3c/p\u3

Harnessing Technology: new modes of technology-enhanced learning: opportunities and challenges

A report commissioned by Becta to explore the potential impact on education, staff and learners of new modes of technology enhanced learning, envisaged as becoming available in subsequent years. A generative framework, developed by the researchers is described, which was used as an analytical tool to relate the possibilities of the technology described to learning and teaching activities. This report is part of the curriculum and pedagogy strand of Becta's programme of managed research in support of the development of Harnessing Technology: Next Generation Learning 2008-14. A system-wide strategy for technology in education and skills. Between April 2008 and March 2009, the project carried out research, in three iterative phases, into the future of learning with technology. The research has drawn from, and aims to inform, all UK education sectors

Theoretical perspectives on mobile language learning diaries and noticing for learners,teachers and researchers

This paper considers the issue of 'noticing' in second language acquisition, and argues for the potential of handheld devices to: (i) support language learners in noticing and recording noticed features 'on the spot', to help them develop their second language system; (ii) help language teachers better understand the specific difficulties of individuals or those from a particular language background; and (iii) facilitate data collection by applied linguistics researchers, which can be fed back into educational applications for language learning. We consider: theoretical perspectives drawn from the second language acquisition literature, relating these to the practice of writing language learning diaries; and the potential for learner modelling to facilitate recording and prompting noticing in mobile assisted language learning contexts. We then offer guidelines for developers of mobile language learning solutions to support the development of language awareness in learners

Helping students connect: architecting learning spaces for experiential and transactional reflection

Given the complex and varied contexts that inform students’ consciousness and occasion their learning, learning spaces are more than physical and virtual spaces. Learning spaces are also a range of situations sedimented in our continuum of experiences that shape our philosophical orientations. As such, this article, written from the perspectives of two faculty members in an English department at a four-year public university, describes our efforts to do the following. First, to draw upon models of instructional design we have experienced in our own educational backgrounds; and equally importantly, to develop learning spaces that support learning that is continuous, situated, and personal. Specifically, we critique the ways in which learning has been segregated from the rest of our life contexts for us throughout our educational histories. The irony is that this de-segregation has motivated us to create diverse learning spaces that provide our students with a more realistic set of tools and techniques for integrative life-long learning

Assessing computational thinking process using a multiple evaluation approach

This study explored the ways that the Computational Thinking (CT) process can be evaluated in a classroom environment. Thirty Children aged 10–11 years, from a primary school in London took part in a game-making project using the Scratch and Alice 2.4 applications for eight months. For the focus of this specific paper, data from participant observations, informal conversations, problem-solving sheets, semi-structured interviews and children’s completed games were used to make sense of elements of the computational thinking process and approaches to evaluate these elements in a computer game design context. The discussions around what CT consists, highlighted the complex structure of computational thinking and the interaction between the elements of artificial intelligence (AI), computer, cognitive, learning and psychological sciences. This also emphasised the role of metacognition in the Computational Thinking process. These arguments illustrated that it is not possible to evaluate Computational Thinking using only programming constructs, as CT process provides opportunities for developing many other skills and concepts. Therefore a multiple evaluation approach should be adopted to illustrate the full learning scope of the Computational Thinking Process. Using the support of literature review and the findings of the data analysis I proposed a multiple approach evaluation model where ‘computational concepts’, ‘metacognitive practices’, and ‘learning behaviours’ were discussed as the main elements of the CT process. Additionally, in order to investigate these dimensions within a game-making context, computer game design was also included in this evaluation model

Advancing task involvement, intrinsic motivation and metacognitive regulation in physical education classes: the self-check style of teaching makes a difference

It was hypothesized that “self-check” style of teaching would be more preferable in terms of creating a mastery-oriented climate, and promoting adaptive achievement goals, intrinsic motivation and metacognitive activity in physical education classes. Two hundred seventy-nine (N = 269) 6-grade students were randomly divided into two groups that were taught four consecutive physical education lessons of the same content following either “practice” or “self-check” styles of teaching respectively. Students responded on questionnaires prior and after the intervention. Results revealed significant interactions between groups and measurements. Students in the “self-check” style group scored higher in scales measuring mastery-oriented climate, mastery goal, intrinsic motivation and metacognitive processes and lower in scales measuring performance-goals and performance-oriented motivational climate. These results underscore the importance of using styles of teaching that enhance opportunities for deep cognitive processing and promote mastery-goals and mastery-oriented climates