65,064 research outputs found

    Student profiling in a dispositional learning analytics application using formative assessment

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    How learning disposition data can help us translating learning feedback from a learning analytics application into actionable learning interventions, is the main focus of this empirical study. It extends previous work where the focus was on deriving timely prediction models in a data rich context, encompassing trace data from learning management systems, formative assessment data, e-tutorial trace data as well as learning dispositions. In this same educational context, the current study investigates how the application of cluster analysis based on e-tutorial trace data allows student profiling into different at-risk groups, and how these at-risk groups can be characterized with the help of learning disposition data. It is our conjecture that establishing a chain of antecedent-consequence relationships starting from learning disposition, through student activity in e-tutorials and formative assessment performance, to course performance, adds a crucial dimension to current learning analytics studies: that of profiling students with descriptors that easily lend themselves to the design of educational interventions

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

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    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

    Self regulated learning: a review of literature

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    A New Era of Education Reform: Preparing All Students for Success in College, Career and Life

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    As society changes, the knowledge and skills required for citizens to navigate the complexities of life and work must also change. As a result, some argue that schools must provide students with a broader set of skills that will enable them to thrive in our increasingly diverse, rapidly evolving and globally-connected world. The intent is not to replace the traditional academic disciplines but to infuse them with knowledge and skills that will better prepare students for success in the 21st century -- often referred to as "21st century skills." While others maintain that as long as a portion of the student population is not mastering basic reading, writing and mathematics skills, schools must continue to focus exclusively on the traditional core academic disciplines. In order to inform the debate about the rationale for and relevance of 21st century skills in Massachusetts' public schools, the Rennie Center for Education Research & Policy conducted a survey of superintendents, charter school leaders and principals statewide to gauge the extent to which school and district leaders support the integration of 21st century skills into public education. The goal of the survey was to provide a better understanding of Massachusetts' public school and district leaders' priorities for improving student learning, including their views on 21st century skills. The survey was followed by interviews with a small sample of administrators and educators in districts and schools where the integration of 21st century skills is a priority, in order to better understand district, school and teacher approaches for infusing 21st century skills into teaching and learning.The report describes the background and context for the study, the study methodology, and key findings from the statewide survey and interviews in a sample of schools and districts. The final section of the report puts forth considerations for policymakers and K-12 school and district leaders. Case studies of two public school districts, Reading Public Schools and Brockton Public Schools are included in Appendix B. The case studies offer two different approaches to integrating 21st century skills district-wide. The case study of Reading Public Schools illustrates a district-led approach. The case study of Brockton Public Schools is an example of how one school has spurred a district to focus on 21st century skills.The study gives voice to key education stakeholders who have not been part of the public debate about 21st century skills and provides clarity about what teaching and learning in classrooms that incorporate 21st century skills looks like. While opponents of 21st century skills argue that districts where most students have not yet mastered reading, writing and mathematics skills, should focus exclusively on core academic content, the study revealed that most school and district leaders believe all public schools in Massachusetts should be required to integrate 21st century skills into learning, including schools where students are lacking adequate basic skills. Interviews with superintendents who prioritize integration of 21st century skills revealed that input from a range of stakeholders led their district to expand their mission and vision for student learning to include 21st century skills and rather than adopt a pre-packaged set of skills, the focus in these districts is on particular skills and competencies that ?t the needs of their student body. While most schools and districts have not developed measurable goals for student mastery of 21st century skills, interviews with a small sample of administrators and educators revealed that 21st century skills are assessed at the classroom level, and most administrators view school- and district-wide assessment as a future step in the process of fully integrating 21st century skills. The endings also suggest that administrators believe that, to date, state policymakers have not adequately supported the teaching and learning of 21st century skills.This report was released at a public event on October 7th, 2010. View video clips from this event on our YouTube channel and read an EdWeek article featuring this report

    Full Issue Summer 2017 Volume 12, Issue 2

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    San Francisco Bay Area KIPP Schools: A Study of Early Implementation and Achievement: Final Report

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    Examines the achievement results and operations of five Knowledge Is Power Program middle schools to assess the program's effectiveness, the role of leadership, implementation of the KIPP culture, design of curricula and instruction, and lessons learned

    Influences and leverages on low levels of attainment: a review of literature and policy initiatives [Wider Benefits of Learning Research Report No. 31]

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    Looking Under the Hood of Competency-Based Education: The Relationship Between Competency-Based Education Practices and Students' Learning Skills, Behaviors, and Dispositions

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    The Nellie Mae Education Foundation (Nellie Mae), in partnership with the American Institutes for Research (AIR), has recently released a comprehensive analysis of competency-based education (CBE), an instructional approach that emphasizes what students learn and master rather than time spent in a classroom. The study, titled "Looking Under the Hood of Competency-Based Education," examines the relationship between various competency-based practices and increased student learning capacity. Additionally, the study highlights the varying degrees of CBE practices in schools that have an existing reputation for implementation."Schools across the country are increasingly seeking ways to provide a competency-based education for students, yet many educators are not sure of where to begin or how they can implement this approach to learning," said Eve Goldberg, Director of Research at the Nellie Mae Education Foundation. "The framework developed by AIR of learning skills, behaviors, and dispositions and the findings on specific practices can help educators strengthen their practices and gives them the tools to continuously improve their practice. We hope educators interested in making this shift will benefit from this analysis.""Looking Under the Hood" analyzes a variety of competency-based practices to examine how schools implement CBE and determine how it relates to students' learning capacities. Some notable findings include:Learning in contexts outside the classroom (for example, internships) positively relates to increasing students' learning capacitiesThe option for students to learn at a comfortable pace (for example, extra time to finish a topic or unit and the opportunity to retake an exam or re-do a final project) has a positive association with self-efficacy and increasing students' motivation to learnThe option for students to receive both instruction and assessment in a variety of formats, including collaborative group projects, helped students' intrinsic motivationEstablishing clear learning targets was positively related to increasing students' learning capacitiesOverall, the study finds that many students' experiences with CBE-aligned practices were positively associated with changes in learning capacities in several areas, most notably in students' intrinsic motivation for classroom work."Competency-based education varies tremendously from school to school and even across classrooms, so it can be hard to determine if it is working," said Erin Haynes, Senior Researcher at the American Institutes for Research. "This study examined specific CBE-aligned practices, giving us a more finely-honed view of how such practices are related to students' capacity to learn. We hope this research will help inform future efforts to implement competency-based methods across districts, schools and classrooms.

    A holistic model to infer mathematics performance: the interrelated impact of student, family and school context variables

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    The present study aims at exploring predictors influencing mathematics performance. In particular, the study focuses on internal students' characteristics (gender, age, metacognitive experience, mathematics self-efficacy) and external contextual factors (GDP of school location, parents' educational level, teachers' educational level, and teacher beliefs). A sample of 1749 students and 91 teachers from Chinese primary schools were involved in the study. Path analysis was used to test the direct and indirect relations between the predictors and mathematics performance. Results reveal that a large proportion of mathematics performance can be directly predicted from students' metacognitive experiences. In addition, other student characteristics and contextual variables influence mathematics performance in direct or indirect ways
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