Teaching Mathematics Online: Emergent Technologies and Methodologies

Teaching Mathematics Online: Emergent Technologies and Methodologies

Angel A. Juan (Open University of Catalonia, Spain), Maria A. Huertas (Open University of Catalonia, Spain), Sven Trenholm (Loughborough University, UK) and Cristina Steegmann (Open University of Catalonia, Spain)
Indexed In: SCOPUS
Release Date: August, 2011|Copyright: © 2012 |Pages: 414
ISBN13: 9781609608750|ISBN10: 1609608755|EISBN13: 9781609608767|DOI: 10.4018/978-1-60960-875-0

Description

Educational technologies (e-learning environments or learning management systems for individual and collaborative learning, Internet resources for teaching and learning, academic materials in electronic format, specific subject-related software, groupware and social network software, etc.) are changing the way in which higher education is delivered.

Teaching Mathematics Online: Emergent Technologies and Methodologies shares theoretical and applied pedagogical models and systems used in math e-learning including the use of computer supported collaborative learning, which is common to most e-learning practices. The book also forecasts emerging technologies and tendencies regarding mathematical software, learning management systems, and mathematics education online and presents up-to-date research work on how mathematics education is changing in a global and Web-based world.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Collaborative Learning in Mathematical Education
  • Computer Supported Mathematical Learning
  • Distributed E-Learning Environments for Mathematics
  • E-Learning Management Systems and Mathematical Education
  • Emerging Technologies in Mathematical Education
  • Evaluation of Technology Systems for Math E-Learning
  • Free and Open Source Software for Math Learning
  • Groupware Systems in Mathematical Teaching
  • Simulation-Supported Learning and Instruction in Mathematics
  • Web-Based Mathematical Instruction/Learning

Reviews and Testimonials

"The purpose of this book is 'to provide insight and understanding into practical pedagogical and methodological issues related to mathematics e-learning, and to provide insight and understanding into current and future trends regarding how mathematics instruction is being facilitated and leveraged with a web-based and other emerging technologies'." [...] "With this book, the editors have indeed succeeded to reach their goals. They have brought together a great variety of interesting information about online web resources and their use in both blended and online teaching of mathematics. Math educators will certainly find both information and motivation in several chapters to improve their teaching through good use of technology and online resources."

– Hans Cuypers, for the German science journal, "Nieuw Archief voor Wiskunde", Vol. 5, No. 13

...Chapters expound some very sound pedagogy and investigate the use of e-learning and blended learning from a theoretical perspective. [...] Contains plenty of interesting case studies.

– Alasdair McAndrew, Victoria University, Australia, Computing Reviews

Table of Contents and List of Contributors

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Preface

INTRODUCTION

New developments in the educational technology field are changing the way in which higher education is delivered.  These innovations include, for example, virtual learning environments for individual and collaborative learning, Internet resources for teaching and learning, academic materials in electronic format, specific subject-related software, groupware, and social network software.

Over the last few decades, technological innovations have become ubiquitous.  They have helped realize the birth and growth of new purely-online universities along with the transformation of how instruction is being delivered in most traditional face-to-face universities – affecting the nature of the courses as well as degree programs being offered.  These innovations, such as so-called pure (also known as 100%) online instruction, have driven the growth of distance learning opportunities, as students who are time-bound due to job or travel difficulties or place-bound due to geographic location or physical disabilities can now access courses and degree programs at their convenience.  E-learning models are currently being developed and utilized worldwide.

The disciplinary area of Mathematics and Statistics has also seen widespread changes. Many instructors have been encouraged to try new teaching strategies based on innovations that enable such provisions as online support, inter-disciplinary collaborative learning, computer-aided assessment, and integration of mathematical and statistical software in their courses.  University departments worldwide have been leveraging technological capabilities in an attempt to create new engaging curricula that promote deeper conceptual understanding (versus shallower procedural knowledge).  Realizing this potential in mathematics has not been easy, and there are numerous challenges – some, for example, due to the demographic characteristics of the so-called “Internet-generation” students as well as the intrinsic disciplinary nature of Mathematics and Statistics.

In a broad sense Mathematics e-learning refers to the use of computer hardware, software and/or the Internet to deliver and facilitate mathematics instruction.  Emergent technologies (e.g. virtual learning environments) enabling emerging instructional strategies (e.g. computer-mediated collaborative learning) are being used in both new and traditional universities to completely teach (e.g. fully asynchronous online), partially replace (e.g. blended or hybrid), or supplement course offerings in mathematics to a new generation of students.  Few doubt that this new modality is here to stay.

With e-learning experiencing what has been characterized as “explosive growth,” there remains a dearth of research to inform best practices specific to the disciplinary particularities of Mathematics e-learning in higher education.  In effect, there are a growing number of available books generically covering e-learning, books covering computer-mediated collaborative learning and, of course a long history of books covering mathematics education but few, if any, cover all of these topics as a whole (i.e., Mathematics e-learning).  This book attempts to begin to fill this gap in the literature by fulfilling two main purposes: (1) to provide insight and understanding into practical pedagogical and methodological issues related to Mathematics e-learning, and (2) to provide insight and understanding into current and future trends regarding how mathematics instruction is being facilitated and leveraged with Web-based and other emerging technologies.  In particular, the goal of the book is to: (a) identify and publish worldwide best practices regarding Mathematics e-learning in higher education, (b) share theoretical or applied pedagogical models and systems used in Mathematics e-learning, including the use of computer-mediated collaborative learning common to most e-learning practices, (c) forecast emerging technologies and tendencies regarding mathematical software, virtual learning environments and online Mathematics education, (d) provide the academic community with a base text that could serve as a reference in research in Mathematics education, and (e) present up-to-date research work on how mathematics education is changing in a global and Web-based world.  The road ahead looks promising.  Our hope is that this book will become a roadmap that will begin to help many successfully realize a deeper and more engaging experience of mathematics instruction.


CHAPTER SYNOPSIS

The chapters in this book have been divided into three sections: (i) Blended Experiences in Mathematics e-Learning, (ii) Pure Online Experiences in Mathematics e-Learning, and (iii) Mathematics Software & Web Resources for Mathematics e-Learning. What follows is a chapter-by chapter overview for each of these areas.


Section I - Blended Experiences in Mathematics e-Learning

Chapter 1: “A Model for Asynchronous Discussions in a Mathematics Content Course,” T. Miller presents an asynchronous model for online discussions in a mathematics content course for elementary mathematics teachers. The model facilitates students’ motivation and collaborative learning, representing a natural extension of the in-class discussions, lecture, and activities.

Chapter 2: “A Blended Learning Approach in Mathematics,” B. Abramovitz et al. describe a blended experience in Calculus courses for undergraduate engineering students. According to the authors, their blended model contributed to making students more active and motivated learners and also served to promote student-instructor interaction.

Chapter 3 “Screencasting for Mathematics Online Learning – a case study of a first year Operations Research course at a dual-mode Australian university,” B. Loch introduces a case study regarding the use of screencasting technology in an Operations Research course taken simultaneously by on-campus and distance students. The chapter discusses issues such as online student’s isolation, portability of materials and “just-in-time” guidance and support.

Chapter 4: “Mathematics Education: teaching and learning opportunities in blended learning,” G. Albano discusses some Web-based experiences developed at two different Italian universities to help provide some insight into opportunities offered by e-learning platforms in blended environments. Among other results, the author concludes that her students prefer the blended mathematics course over the traditional one.

Chapter 5: “Best Practices for Hybrid Mathematics Courses,” D. Perdue uses an informal style to discuss some “best practices” she uses in her blended mathematics courses. By using these practices, the author analyzes how she spends more class time discussing the relevant material with her students and how they have become increasingly active participants in their own learning process.

Chapter 6: “Implementation of Learning Outcomes in Mathematics for Non-Mathematics Major by using e-Learning,” B. Divjak presents some experiences related to blended mathematics courses carried out at the University of Zagreb. In these experiences, the author examines how blended courses can be efficiently supported by Information Technologies and social software such as wikis, e-portfolios, et cetera.


Section II - Purely Online Experiences in Mathematics e-Learning

Chapter 7: “Online Communities of Practice as Vehicles for Teacher Professional Development,” M. Meletiou-Mavrotheris explores how Web-based technologies can be effectively employed to promote the creation of online communities of practice that share knowledge and experiences regarding math-related contents and courses. In particular, she analyzes an online learning experience regarding a multinational group of elementary and middle school teachers of Statistics.

Chapter 8: “Mathematics Bridging Education using an Online, Adaptive e-Tutorial: preparing international students for higher education,” D. Tempelaar et al. describe and evaluate a postsecondary online program designed to facilitate the transition from high-school maths to university maths. The program is based on the administration of an entry test and the organization of an online summer course. A quantitative analysis provides some insight on the relevance of several factors affecting students’ academic performance.

Chapter 9: “Teaching Mathematics Teachers Online: Strategies for Navigating the Intersection of Andragogy, Technology, and Reform-based Mathematics Education,” D. Jarvis investigates some of the factors and strategies that, according to his ten-year experience as an online instructor, help to successfully combine technology and emergent online teaching models to provide adult mathematics education.

Chapter 10: “Developing Teachers’ Mathematical Knowledge for Teaching through Online Collaboration,” J. Silverman and E. Clay provide several case studies that highlight the potential that online collaboration hold for supporting mathematics teachers’ collaboration. In their own words, “the asynchronous and permanent nature of online environments allow for potentially pivotal utterances […] to be taken up as a focus of conversation by the remainder of the class and, when they are not taken up, allow instructors to create bridges between teachers’ current understandings and the instructional goals.”

Chapter 11: “Self-Regulated Learning and Self Assessment in Online Mathematics Bridging Courses,” R. Biehler et al. introduce an innovative way of teaching and learning mathematics online and designed to facilitate the transition from secondary to higher-education. They present some multimedia learning materials developed by an inter-university project and discuss the acceptance and success of their courses among students.

Chapter 12: “Long-Term Experiences in Mathematics E-Learning in Europe and the USA: A Comparative Study Regarding Differing Higher-Education Models,” S. Trenholm et al. perform a comparative study regarding some long-term experiences teaching mathematics online at four different universities in Europe and the US. The analysis highlights common patterns and also differences among the diverse models considered.  Some key factors for successful mathematics e-learning practices are identified.


Section III - Mathematics Software & Web Resources for Mathematics e-Learning

Chapter 13: “My Equations are the Same as Yours!: computer aided assessment using a Gröbner basis approach,” M. Badger and C. Sangwin show an example of how computer-aided assessments can automatically evaluate whether or not two systems of equations are equivalent.

Chapter 14: “Interacive Web-based Tools for Learning Mathematics: best practices,” B. Cherkas and R. Welder examine and classify a number of popular and relevant websites for collegiate mathematics based on their interactivity, dynamic capabilities, pedagogical strengths and weakness, the practices they employ, and their potential to enhance mathematical learning.

Chapter 15: “NAUK.si – using learning blocks to prepare e-content for teaching mathematics,” M. Lokar et al. exhibit the NAUK group, which is working on the development of mathematics learning blocks and tools for easy creation of mathematics contents. A practical example completes the chapter and illustrates the flexibility and potential of the NAUK system.

Chapter 16: “Software Tools Used in Math Refresher Courses at the University of Alcala, Spain,” J. Alcazar et al. present a mathematics teaching experience based on the combination of the Moodle platform and mathematical software such as WIRIS, GeoGebra, SAGE, and Wolfram Alpha.

Chapter 17: “Formula Editors and Handwriting in Mathematical e-Learning,” M. Misfeldt and A. Sanne report on an experience in which they compare Moodle’s formula editor with the use of direct scanner-based handwriting. According to their results, despite the existence of modern formula editors, handwriting continues to be a relevant way of communicating mathematics in e-learning programs.

Chapter 18: “The Role of Technology in Mathematics Support: a pilot study,” C. Mac an Bhaird and A. O’Shea discuss the importance of technology to enhance mathematics education and support. They present their experiences on the development of online mathematics courses and online learning materials. They also provide some feedback from their students and discuss the benefits and challenges of techniques such as screencasting.


FINAL WORDS

To the best of our knowledge, this is the first international book focused on Mathematics e-learning in higher education, an emerging area both in research and academic practice.  Accordingly, we expect this book to be a valuable tool for researchers in the fields of Mathematics education and e-learning, academics involved in e-learning research, faculty teaching mathematics online, as well as instructional designers and online coordinators implementing courses in Mathematics e-learning.  The text will also be potentially useful for senior year undergraduate or graduate studies in computer sciences, management, or mathematics education.


Angel A. Juan, Maria A. Huertas and Cristina Steegmann - Open University of Catalonia, Spain

Sven Trenholm - Loughborough University, UK

Editors

December 24th, 2010

Author(s)/Editor(s) Biography

Angel A. Juan is an Associate Professor of Simulation and Data Analysis in the Computer Science Department at the Open University of Catalonia (UOC) as well as a Researcher at the Internet Interdisciplinary Institute (IN3). He also collaborates, as a Lecturer of Computer Programming and Applied Statistics, with the Department of Applied Mathematics I at the Technical University of Catalonia (UPC). He holds a Ph.D. in Applied Computational Mathematics (UNED), an M.S. in Information Systems & Technology (UOC), and an M.S. in Applied Mathematics (University of Valencia). His research interests include both service and industrial applications of computer simulation, probabilistic algorithms, educational data analysis, and mathematical e-learning. He has published several papers in international journals, books and proceedings regarding these fields. Also, he has been involved in several international research projects. He is an editorial board member of the Int. J. of Data Analysis Techniques and Strategies as well as of the Int. J. of Information Systems & Social Change, and a member of the INFORMS society. His e-mail is: ajuanp@uoc.edu.
Antonia Huertas is an Associate Professor of Mathematics and Knowledge Representation in the Computer Sciences Department at the Open University of Catalonia (Barcelona, Spain). She holds a Ph.D. in Mathematics (University of Barcelona). Her research interests include knowledge representation and rationing and mathematical e-learning. Her e-mail is: mhuertass@uoc.edu
Sven Trenholm is currently a PhD research student at Loughborough University’s Mathematics Education Center. Previously, for more than ten years, he taught as a fulltime mathematics instructor within the State University of New York. He holds an MSc in Curriculum Design and Instructional Technology (SUNY Albany) and a BSc and DipEd in Mathematics (McGill). His PhD research is focused on assessment approaches of tertiary mathematics e-learning instructors. His research interests also include disciplinary differences in approaches to e-learning, mathematics e-lecturing, efficacy of e-learning for courses in basic numeracy and psychological aspects of e-learning. Within these fields of interest, he has published journal papers and presented numerous times. His e-mail is: s.trenholm@lboro.ac.uk.
Cristina Steegmann is currently a PhD research student at Open University of Catalonia (Barcelona, Spain). She has more than ten years of experience teaching mathematics online to Engineering students. Her PhD is focused on Mathematical e-learning in the context of the European area of higher education. As a result, she has participated in different research projects on those topics and is co-author of several papers and chapters published in international journals and books. Her e-mail is: csteegmann@uoc.edu.

Indices

Editorial Board

Elena Barbera, eLearn Center - Open University of Catalonia, Spain
Antonio F. Costa, Universidad Nacional de Educación a Distancia, Spain
Thanasis Daradoumis, University of the Aegean, Greece
Kellie S. Grasman, Missouri University of Science & Technology, USA
Susan L. Kutryb, Hudson Valley Community College, USA
Fernando Pestana da Costa, Universidade Aberta, Portugal
Francesca Pozzi, Istituto Tecnologie Didattiche - CNR, Italy
Teresa Sancho, Open University of Catalonia, Spain