Peter Seow

Bio: Peter Seow is an academic researcher from Nanyang Technological University. The author has contributed to research in topics: Educational technology & Synchronous learning. The author has an hindex of 16, co-authored 48 publications receiving 1638 citations. Previous affiliations of Peter Seow include National Institute of Education.

Leveraging mobile technology for sustainable seamless learning: a research agenda

Abstract: Chee-Kit Looi is Head of the Learning Sciences Lab of the National Institute of Education (LSL, NIE), Nanyang Technological University (NTU). He has over two decades of experience with educational technology research in research institutes and universities. He is an editorial member of the International Journal on AI & Education and the International Journal on CSCL. Peter Seow is a senior software engineer with the LSL, NIE. He has over 10 years of industrial experience in leading projects, consulting and systems development. Zhang BaoHui is an assistant professor in the Learning Sciences and Technologies Academic Group (LSTAG) and LSL, NIE, Nanyang Technological University (NTU). His current research foci are designing and assessing interactive environments when using computerbased modelling or mobile technologies for inquiry-based science learning. So Hyo-Jeong is an assistant professor in the LSTAG and LSL, NIE, NTU. Her research focuses on designing interactive online learning environments, and students’ scientific knowledge building through collaborative inquiry. Wenli Chen is an assistant professor in the LSTAG and LSL, NIE, NTU. Her research interests and expertise are computermediated communication, virtual learning environment, mobile learning and community of learners. Lung-Hsiang Wong is an assistant professor in the LSTAG and LSL, NIE, NTU. His research interests are information and communication technology-enhanced Chinese language learning, teachers’ professional development, agent technology for learning and mobile learning. Address for correspondence: LSL, NIE, NTU, 1 Nanyang Walk Singapore 637616. Email: cheekit.looi@nie.edu.sg

Anatomy of a mobilized lesson: Learning my way

Abstract: With the mass adoption of mobile computing devices by the current school generation, significant opportunities have emerged for genuinely supporting differentiated and personalized learning experiences through mobile devices. In our school-based research work in introducing mobilized curricula to a class, we observe one compelling mobilized lesson that exploits the affordances of mobile learning to provide multiple learning pathways for elementary grade (primary) 2 students. Through the lesson, students move beyond classroom activities that merely mimic what the teacher says and does in the classroom, and yet they still learn in personally meaningful ways. In deconstructing the lesson, we provide an in-depth analysis of how the affordances of mobile computing enable personalized learning from four facets: (a) allowing multiple entry points and learning pathways, (b) supporting multi-modality, (c) enabling student improvisation in situ, and (d) supporting the sharing and creation of student artifacts on the move. A key property of mobile technology that enables these affordances lies with the small form factor and the lightweightness of these devices which make them non-obtrusive in the learning spaces of the student. This article makes a contribution on the design aspects of mobilized lessons, namely, what the affordances of mobile technologies can enable.

Usage of a mobile social learning platform with virtual badges in a primary school

Abstract: This study presents and examines SamEx, a mobile learning system used by 305 students in formal and informal learning in a primary school in Singapore. Students use SamEx in situ to capture media such as pictures, video clips and audio recordings, comment on them, and share them with their peers. In this paper we report on the experiences of students in using the application throughout a one-year period with a focus on self-directedness, quality of contributions, and answers to contextual question prompts. We examine how the usage of tools such as SamEx predicts students' science examination results, discuss the role of badges as an extrinsic motivational tool, and explore how individual and collaborative learning emerge. Our research shows that the quantity and quality of contributions provided by the students in SamEx predict the end-year assessment score. With respect to specific system features, contextual answers given by the students and the overall likes received by students are also correlated with the end-year assessment score. Answers given and likes received predict the total assessment score.Introduction of more collaboration software features could impact students' results.Engaging in self-directed activities helps students in their learning.Badges can motivate students to learn when teachers provide learning contexts.Intentional teacher-directed tasks stimulate students to participate.

1:1 mobile inquiry learning experience for primary science students: a study of learning effectiveness

Abstract: This paper presents the findings of a research project in which we transformed a primary (grade) 3 science curriculum for delivery via mobile technologies, and a teacher enacted the lessons over the 2009 academic year in a class in a primary school in Singapore. The students had a total of 21 weeks of the mobilized lessons in science, which were co-designed by teachers and researchers by tapping into the affordances of mobile technologies for supporting inquiry learning in and outside of class. We examine the learning effectiveness of the enacted mobilized science curriculum. The results show that among the six mixed-ability classes in primary (grade) 3 in the school, the experimental class performed better than other classes as measured by traditional assessments in the science subject. With mobilized lessons, students were found to learn science in personal, deep and engaging ways as well as developed positive attitudes towards mobile learning.

Deconstructing and reconstructing: Transforming primary science learning via a mobilized curriculum

Abstract: The history of science education reform has been fundamentally centered around science curriculum development and implementation. The advent of mobile technologies has necessitated a re-examination of how students could better learn science through these 21st century tools. Conventional teaching materials may not prepare students to learn the inquiry way and to become self-directed and social learners who could learn ''everywhere and all the time (seamlessly)'' using mobile technologies. This paper is based on our first year of work in our mobile learning research project in transforming primary three science lessons into a ''mobilized'' curriculum for a classroom context in which students routinely use mobile technologies. Using an exemplar fungi topic, we discuss our approach as well as experiences in deconstructing and reconstructing an existing curriculum through a co-design approach with teachers in a Singapore local school. In doing so, we make a contribution to the methodology for developing mobilized science curricula for in-class learning that also extends to out-of-class learning.

The New Meaning Of Educational Change

Abstract: Thank you very much for downloading the new meaning of educational change. Maybe you have knowledge that, people have search hundreds times for their chosen novels like this the new meaning of educational change, but end up in infectious downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they juggled with some malicious virus inside their desktop computer. the new meaning of educational change is available in our digital library an online access to it is set as public so you can get it instantly. Our books collection hosts in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Merely said, the the new meaning of educational change is universally compatible with any devices to read.

Mobile computing devices in higher education: Student perspectives on learning with cellphones, smartphones & social media

Abstract: The purpose of this research was to explore teaching and learning when mobile computing devices, such as cellphones and smartphones, were implemented in higher education. This paper presents a portion of the findings on students' perceptions of learning with mobile computing devices and the roles social media played. This qualitative research study focused on students from three universities across the US. The students' teachers had been integrating mobile computing devices, such as cellphones and smartphones, into their courses for at least two semesters. Data were collected through student focus group interviews. Two specific themes emerged from the interview data: (a) advantages of mobile computing devices for student learning and (b) frustrations from learning with mobile computing devices. Mobile computing devices and the use of social media created opportunities for interaction, provided opportunities for collaboration, as well as allowed students to engage in content creation and communication using social media and Web 2.0 tools with the assistance of constant connectivity.

The effects of integrating mobile devices with teaching and learning on students' learning performance

Abstract: Mobile devices such as laptops, personal digital assistants, and mobile phones have become a learning tool with great potential in both classrooms and outdoor learning. Although there have been qualitative analyses of the use of mobile devices in education, systematic quantitative analyses of the effects of mobile-integrated education are lacking. This study performed a meta-analysis and research synthesis of the effects of integrated mobile devices in teaching and learning, in which 110 experimental and quasiexperimental journal articles published during the period 1993-2013 were coded and analyzed. Overall, there was a moderate mean effect size of 0.523 for the application of mobile devices to education. The effect sizes of moderator variables were analyzed and the advantages and disadvantages of mobile learning in different levels of moderator variables were synthesized based on content analyses of individual studies. The results of this study and their implications for both research and practice are discussed. This is a meta-analysis and research synthesis study for mobile-integrated education.110 published journal articles that were written over a 20-year period were coded and analyzed.The application of mobile devices to education has a moderate mean effect size.The effect sizes of moderator variables were analyzed.The benefits and drawbacks of mobile learning were synthesized.

Handbook of Self-Regulation of Learning and Performance

Abstract: Contents Historical, Contemporary, and Future Perspectives on Self-Regulated Learning and Performance Dale H. Schunk and Jeffrey A. Greene Section I. Basic Domains of Self-Regulation of Learning and Performance Social Cognitive Theoretical Perspective of Self-Regulation Ellen L. Usher and Dale H. Schunk Cognition and Metacognition Within Self-Regulated Learning Philip H. Winne Developmental Trajectories of Skills and Abilities Relevant for Self-Regulation of Learning and Performance Rick H. Hoyle and Amy L. Dent Motivation and Affect in Self-Regulated Learning: Does Metacognition Play a Role? Anastasia Efklides, Bennett L. Schwartz, and Victoria Brown Self-Regulation, Co-Regulation and Shared Regulation in Collaborative Learning Environments Allyson Hadwin, Sanna Jarvela, and Mariel Miller Section II. Self-Regulation of Learning and Performance in Context Metacognitive Pedagogies in Mathematics Classrooms: From Kindergarten to College and Beyond Zemira R. Mevarech, Lieven Verschaffel, and Erik De Corte Self-Regulated Learning in Reading Keith W. Thiede and Anique B. H. de Bruin Self-Regulation and Writing Steve Graham, Karen R. Harris, Charles MacArthur, and Tanya Santangelo The Self-Regulation of Learning and Conceptual Change in Science: Research, Theory, and Educational Applications Gale M. Sinatra and Gita Taasoobshirazi Using Technology-Rich Environments to Foster Self-Regulated Learning in the Social Studies Eric G. Poitras and Susanne P. Lajoie Self-Regulated Learning in Music Practice and Performance Gary E. McPherson, Peter Miksza, and Paul Evans Self-Regulation in Athletes: A Social Cognitive Perspective Anastasia Kitsantas, Maria Kavussanu, Deborah B. Corbatto, and Pepijn K. C. van de Pol Self-Regulation: An Integral Part of Standards-Based Education Marie C. White and Maria K. DiBenedetto Teachers as Agents in Promoting Students' SRL and Performance: Applications for Teachers' Dual-Role Training Program Bracha Kramarski Section III. Technology and Self-Regulation of Learning and Performance Emerging Classroom Technology: Using Self-Regulation Principles as a Guide for Effective Implementation Daniel C. Moos Understanding and Reasoning About Real-Time Cognitive, Affective, and Metacognitive Processes to Foster Self-Regulation With Advanced Learning Technologies Roger Azevedo, Michelle Taub, and Nicholas V. Mudrick The Role of Self-Regulated Learning in Digital Games John L. Nietfeld Self-Regulation of Learning and Performance in Computer-Supported Collaborative Learning Environments Peter Reimann and Maria Bannert Section IV. Methodology and Assessment of Self-Regulation of Learning and Performance Validity and the Use of Self-Report Questionnaires to Assess Self-Regulated Learning Christopher A. Wolters and Sungjun Won Capturing and Modeling Self-Regulated Learning Using Think-Aloud Protocols Jeffrey A. Greene, Victor M. Deekens, Dana Z. Copeland, and Seung Yu Assessing Self-Regulated Learning Using Microanalytic Methods Timothy J. Cleary and Gregory L. Callan Advancing Research and Practice About Self-Regulated Learning: The Promise of In-Depth Case Study Methodologies Deborah L. Butler and Sylvie C. Cartier Examining the Cyclical, Loosely Sequenced, and Contingent Features of Self-Regulated Learning: Trace Data and Their Analysis Matthew L. Bernacki Data Mining Methods for Assessing Self-Regulated Learning Gautam Biswas, Ryan S. Baker, and Luc Paquette Section V. Individual and Group Differences in Self-Regulation of Learning and Performance 26. Calibration of Performance and Academic Delay of Gratification: Individual and Group Differences in Self-Regulation of Learning Peggy P. Chen and Hefer Bembenutty 27. Academic Help Seeking as a Self-Regulated Learning Strategy: Current Issues, Future Directions Stuart A. Karabenick and Eleftheria N. Gonida 28. The Three Faces of Epistemic Thinking in Self-Regulated Learning Krista R. Muis and Cara Singh 29. Advances in Understanding Young Children's Self-Regulation of Learning Nancy E. Perry, Lynda R. Hutchinson, Nikki Yee, and Elina Maatta 30. Self-Regulation: Implications for Individuals With Special Needs Linda H. Mason and Robert Reid 31. Culture and Self-Regulation in Educational Contexts Dennis M. McInerney and Ronnel B. King