Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
6,865
result(s) for
"Team learning approach in education."
Sort by:
Integration of artificial intelligence performance prediction and learning analytics to improve student learning in online engineering course
As a cutting-edge field of artificial intelligence in education (AIEd) that depends on advanced computing technologies, AI performance prediction model is widely used to identify at-risk students that tend to fail, establish student-centered learning pathways, and optimize instructional design and development. A majority of the existing AI prediction models focus on the development and optimization of the accuracy of AI algorithms rather than applying AI models to provide student with in-time and continuous feedback and improve the students’ learning quality. To fill this gap, this research integrated an AI performance prediction model with learning analytics approaches with a goal to improve student learning effects in a collaborative learning context. Quasi-experimental research was conducted in an online engineering course to examine the differences of students’ collaborative learning effect with and without the support of the integrated approach. Results showed that the integrated approach increased student engagement, improved collaborative learning performances, and strengthen student satisfactions about learning. This research made contributions to proposing an integrated approach of AI models and learning analytics (LA) feedback and providing paradigmatic implications for future development of AI-driven learning analytics.HighlightsIntegrated approach was used to combine AI with learning analytics (LA) feedbackQuasi-experiment research was conducted to investigate student learning effectsIntegrated approach to foster student engagement, performances and satisfactionsParadigmatic implication was proposed for develop AI-driven learning analyticsClosed loop was established for both AI model development and educational application.
Journal Article
Social Presence: Conceptualization and Measurement
Social presence is an important construct in online group learning. It influences the way how social interaction unfolds online and affects learning and social outcomes. However, what precisely social presence is has been under debate, as presently a plethora of different definitions and measures exist preventing the development of a coherent research field regarding social presence and its defining role in online group learning. To solve the issue, we went back to the original social presence theory as devised by the communication researchers Short et al. (1976) to show that although they had a clear idea of social presence—namely “realness” of other persons in the interaction—their definition is ambiguous, not operationalizable, and the measurement of it questionable. We, therefore, disentangled their social presence theory and (1) reformulated the social presence definition to enable an operationalization in line with the previous conceptualization of social presence; (2) departed from the technological determinism of social presence; and (3) identified two other constructs closely linked to social presence, namely, sociability (as a medium attribute) and social space (as a group attribute). By reformulating the definition of social presence and by linking it to social space and sociability, we hope to contribute to a more coherent line of social presence research and to better understand interpersonal communication, group learning, and group dynamics when learning and working together in an online setting.
Journal Article
Transforming teamwork : cultivating collaborative cultures
\"Written by 3 outstanding experts in the field of education and teamwork, this book envisions three integral strands that bind synchronistic collaborative interactions into a transformative way of working--a triple helix that supports all teamwork. The focus is on how safety in relationships opens up diverse perspectives and new understandings. The authors describe how teams can foster transparent communications and greater collective intelligence from constructive conflict. And finally, the purpose for all teamwork is to build coherence around actionable learning that extends and refines knowledge. The type of knowledge worthy to be passed on to others--hence knowledge legacies. Recently there has been a resurgence of interest supporting a variety of collaborative structures to improve student learning by using data teams, professional learning communities, distributed leadership, and collaborative inquiry. This book on collaboration is different from others in that instead of expecting a facilitator to be responsible for group success these authors posit that it is the individual group members who are critical for successful collaboration. Teamwork isn't always productive. In some cases, collaboration can lead to group members feeling anxious, vulnerable, and distrustful of others. In work cultures where people do not pay attention to the quality of the relationships dysfunction sets in and limits trust, destroys open communication, and significantly reduces collective learning. These types of communication patterns often lead to a sense of futility, disappointment, and low morale\" -- Provided by publisher.
Book
Leading PLCs at Work® Districtwide
Ensure your school district is doing the right work, the right way, for the right reasons. With this resource as your guide, you will learn how to align the work of every PLC team districtwide--from the boardroom to the classroom. Each chapter focuses on one of four types of teams and provides practices and tools for working together to foster a districtwide culture of continuous improvement.
Use this resource to align your district's work in a top-down, bottom-up cyclical process:
* Learn the leadership role the district office plays in supporting successful PLC at Work implementation and school-improvement efforts.
* Observe how collaborative teams at every level align their work districtwide to ensure high levels of learning in professional learning communities.
* Study real-life examples and artifacts of best practices in action.
* Receive protocols and templates, such as the Team Analysis of Common Assessment (TACA) form, to move student learning forward.
* Review a process for establishing a guaranteed and viable curriculum, and discover strategies for analyzing student learning and making data-informed decisions.
Contents:
Introduction
Chapter 1: Starting at the Top--The School Board and the Superintendent Team
Chapter 2: Setting the Stage--The District Leadership Team
Chapter 3: Leading the Work at the School Level--The Building Leadership Team
Chapter 4: Improving the Learning--Teacher Collaborative Teams
Chapter 5: Envisioning an Aligned District
eBook
The Perceptions of Primary School Teachers of Online Learning during the COVID-19 Pandemic Period: A Case Study in Indonesia
This study explores the perceptions of primary school teachers of online learning in a program developed in Indonesia called School from Home during the COVID-19 Pandemic. Data were collected through surveys and semi-structured interviews with 67 class teachers in primary schools. Data analysis used thematic analysis of qualitative data. The analysis results found four main themes, namely, instructional strategies, challenges, support, and motivation of teachers. This research contributes to the literature of online collaborative learning between teachers, parents, and schools that impact student success. Broadly, the success of online learning in Indonesia during the COVID-19 Pandemic was determined by the readiness of technology in line with the national humanist curriculum, support and collaboration from all stakeholders, including government, schools, teachers, parents and the community.
Journal Article
How to build a plane : a soaring adventure of mechanics, teamwork, and friendship
Three unlikely friends--Eli, a mouse; Phoebe, a sparrow; and Hank, a frog--decide to build a small plane together. The story follows the friendly trio as they learn all about how a plane flies and how it is constructed. Detailed illustrations show the inner workings of a plane, teaching children the basics of how each part works together to get the plane flying.
Book
Federated Learning in Edge Computing: A Systematic Survey
Edge Computing (EC) is a new architecture that extends Cloud Computing (CC) services closer to data sources. EC combined with Deep Learning (DL) is a promising technology and is widely used in several applications. However, in conventional DL architectures with EC enabled, data producers must frequently send and share data with third parties, edge or cloud servers, to train their models. This architecture is often impractical due to the high bandwidth requirements, legalization, and privacy vulnerabilities. The Federated Learning (FL) concept has recently emerged as a promising solution for mitigating the problems of unwanted bandwidth loss, data privacy, and legalization. FL can co-train models across distributed clients, such as mobile phones, automobiles, hospitals, and more, through a centralized server, while maintaining data localization. FL can therefore be viewed as a stimulating factor in the EC paradigm as it enables collaborative learning and model optimization. Although the existing surveys have taken into account applications of FL in EC environments, there has not been any systematic survey discussing FL implementation and challenges in the EC paradigm. This paper aims to provide a systematic survey of the literature on the implementation of FL in EC environments with a taxonomy to identify advanced solutions and other open problems. In this survey, we review the fundamentals of EC and FL, then we review the existing related works in FL in EC. Furthermore, we describe the protocols, architecture, framework, and hardware requirements for FL implementation in the EC environment. Moreover, we discuss the applications, challenges, and related existing solutions in the edge FL. Finally, we detail two relevant case studies of applying FL in EC, and we identify open issues and potential directions for future research. We believe this survey will help researchers better understand the connection between FL and EC enabling technologies and concepts.
Journal Article