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Editor: Myint Swe Khine
Assessment and evaluation have always been an integral part of the educational process. Quality and purposeful assessment can assist in students’ learning and their achievement. In recent years, considerable attention has been given to the roles of educational measurement, evaluation, and assessment with a view to improving the education systems throughout the world. Educators are interested in how to adequately prepare the young generation to meet the ever-growing demands of the 21st century utilizing robust assessment methods. There has also been increased demand in accountability and outcomes assessment in schools to bridge the gap between classroom practices and measurement and assessment of learners’ performance. This volume contains selected and invited papers from the First International Conference on Educational Measurement, Evaluation and Assessment (ICEMEA).

Contributors are: Peter Adams, Derin Atay, Nafisa Awwal, Helen Barefoot, Patrick Griffin, Bahar Hasirci, Didem Karakuzular, Don Klinger, Leigh Powell, Vicente Reyes, Mark Russell, Charlene Tan, Bryan Taylor, and Zhang Quan.
Editor: Myint Swe Khine
Educators around the world acknowledge the fact that we live in the knowledge society and ability to think systematically is one of the necessary skills in order to function effectively in the 21st century. In the past two decades, popular culture introduced digital games as part of leisure activities for children and adults. Today playing computer games is routine activity for children of all ages. Many have agreed that interactive computer games enhance concentration, promote thinking, increase motivation and encourage socialisation. Educators found their way in introducing game-based learning in science education to entice the students in teaching difficult concepts. Simulation games provide authentic learning experience and virtual world excites the students to learn new phenomena and enliven their inquisitive mind. This book presents recent studies in game-based learning and reports continuing attempts to use games as new tool in the classrooms.
Editor: Myint Swe Khine
Structural Equation Modeling (SEM) is a statistical approach to testing hypothesis about the relationships among observed and latent variables. The use of SEM in research has increased in psychology, sociology, and economics in recent years.
In particular educational researchers try to obtain the complete image of the process of education through the measurement of personality differences, learning environment, motivation levels and host of other variables that affect the teaching and learning process. With the use of survey instruments and interviews with students, teachers and other stakeholders as a lens, educators can assess and gain valuable information about the social ecology of the classrooms that could help in improving the instructional approach, classroom management and the learning organizations.
A considerable number of research have been conducted to identify the factors and interactions between students’ characteristics, personal preferences, affective traits, study skills, and various other factors that could help in better educational performance.
In recent years, educational researchers use Structural Equation Modeling (SEM) as a statistical technique to explore the complex and dynamic nature of interactions in educational research and practice. SEM is becoming a powerful analytical tool and making methodological advances in multivariate analysis.
This book presents the collective works on concepts, methodologies and applications of SEM in educational research and practice. The anthology of current research described in this book will be a valuable resource for the next generation educational practitioners.
Editor: Myint Swe Khine
The term 'learning analytics' is defined as the measurement, collection, analysis, and reporting of information about learners and their contexts for the purposes of understanding and optimizing learning. In recent years learning analytics has emerged as a promising area of research that trails the digital footprint of the learners and extracts useful knowledge from educational databases to understand students’ progress and success. With the availability of an increased amount of data, potential benefits of learning analytics can be far-reaching to all stakeholders in education including students, teachers, leaders, and policymakers. Educators firmly believe that, if properly harnessed, learning analytics will be an indispensable tool to enhance the teaching-learning process, narrow the achievement gap, and improve the quality of education.

Many investigations have been carried out and disseminated in the literature and studies related to learning analytics are growing exponentially. This book documents recent attempts to conduct systematic, prodigious and multidisciplinary research in learning analytics and present their findings and identify areas for further research and development. The book also unveils the distinguished and exemplary works by educators and researchers in the field highlighting the current trends, privacy and ethical issues, creative and unique approaches, innovative methods, frameworks, and theoretical and practical aspects of learning analytics.

Contributors are: Arif Altun, Alexander Amigud, Dongwook An, Mirella Atherton, Robert Carpenter, Martin Ebner, John Fritz, Yoshiko Goda, Yasemin Gulbahar, Junko Handa, Dirk Ifenthaler, Yumi Ishige, Il-Hyun Jo, Kosuke Kaneko, Selcan Kilis, Daniel Klasen, Mehmet Kokoç, Shin'ichi Konomi, Philipp Leitner, ChengLu Li, Min Liu, Karin Maier, Misato Oi, Fumiya Okubo, Xin Pan, Zilong Pan, Clara Schumacher, Yi Shi, Atsushi Shimada, Yuta Taniguchi, Masanori Yamada, and Wenting Zou.
In: Emerging Trends in Learning Analytics
In: Emerging Trends in Learning Analytics
In: Emerging Trends in Learning Analytics
In: Non-cognitive Skills and Factors in Educational Attainment
In: Emerging Trends in Learning Analytics
In: Emerging Trends in Learning Analytics