Framework for Developing a Mobile Augmented Reality for Learning Chemical Bonds

This paper presents the framework for developing a Mobile Augmented Reality (MAR) for learning Chemical Bonds, which is believed to reduce misconceptions among the students. Misconceptions always occur in classrooms, especially in science subject’s which consist of abstract concepts. It is very important that these misconceptions be reduced, because they may affect the student’s understandings of topics they have learned about. These may interfere with the student’s education, and may also affect the student’s performances afterwards. Visualization is one key approach that has been proven to help when seeking to improve the understanding of students, which has consequently led to a reduction in misconceptions. There are many technologies that have been integrated within education, and that show strong potential for producing visualizations. One of the recent popular technologies that have the potential for visualization is Mobile Augmented Reality. Mobile Augmented Reality has the ability to visualize abstract concepts through 3D images

[1]  David Palmer,et al.  Students' alternative conceptions and scientifically acceptable conceptions about gravity , 2001 .

[2]  Pavlo D. Antonenko,et al.  Effects of segmenting, signalling, and weeding on learning from educational video , 2012 .

[3]  Rebecca Ferguson,et al.  Augmented Reality and Mobile Learning: the State of the Art , 2013, mLearn.

[4]  Mehmet Bahar,et al.  Misconceptions in Biology Education and Conceptual Change Strategies , 2003 .

[5]  Canan Nakiboğlu,et al.  Identifying Students' Misconceptions about Nuclear Chemistry. A Study of Turkish High School Students , 2006 .

[6]  Fahad N. Al-FAHAD,et al.  STUDENTS' ATTITUDES AND PERCEPTIONS TOWARDS THE EFFECTIVENESS OF MOBILE LEARNING IN KING SAUD UNIVERSITY, SAUDI ARABIA , 2009 .

[7]  Karl O. Jones,et al.  Relationship between examination questions and bloom's taxonomy , 2009, 2009 39th IEEE Frontiers in Education Conference.

[8]  Rio Sumarni Shariffudin,et al.  Multiple Intelligence Multimedia Courseware (MIMCO) Based on the Constructivist-Contextual Model for the Learning of Some Chemistry Concepts , 2012 .

[9]  Richard E. Mayer,et al.  Cognitive Theory of Multimedia Learning , 2021, The Cambridge Handbook of Multimedia Learning.

[10]  R. Mayer,et al.  Animation as an Aid to Multimedia Learning , 2002 .

[11]  Benjamin Naumann,et al.  Mental Representations A Dual Coding Approach , 2016 .

[12]  Keith S. Taber,et al.  Challenging Misconceptions in the Chemistry Classroom: Resources to Support Teachers , 2009 .

[13]  Jennifer M. Duis.  Organic chemistry educators' perspectives on fundamental concepts and misconceptions: An exploratory study , 2011 .

[14]  Jamalludin Harun,et al.  The Effect of Mobile Problem-Based Science Dictionary Application DicScience PBL towards Students' Mastery of Scientific Terms and Critical Thinking , 2017, 2017 International Conference on Learning and Teaching in Computing and Engineering (LaTICE).

[15]  Noor Azean Atan,et al.  Collaborative Learning in Authentic Environment Apps to Promote Preschool Basic Scientific Process Skills , 2017, Int. J. Interact. Mob. Technol..

[16]  M. D’Esposito.  Working memory. , 2008, Handbook of clinical neurology.

[17]  Esen Uzuntiryaki,et al.  Effect of conceptual change approach accompanied with concept mapping on understanding of solution concepts , 2005 .

[18]  John Sweller,et al.  Instructional Design in Technical Areas , 1999 .

[19]  Rasol Abdullah Mirzaie,et al.  Study of Students' Mental Images Effect on Learning Chemistry , 2010 .

[20]  John K. Gilbert,et al.  Visualization in science education , 2005 .

[21]  Paul D. Eggen,et al.  Educational Psychology: Windows on Classrooms , 1998 .

[22]  N. D. Abd Halim,et al.  Learning acids and bases through inquiry based website , 2010, 2010 IEEE Conference on Open Systems (ICOS 2010).

[23]  P. Shah,et al.  Exploring visuospatial thinking in chemistry learning , 2004 .

[24]  William Muirhead,et al.  Tablet PCs and reconceptualizing learning with technology: a case study in higher education , 2011, Interact. Technol. Smart Educ..

[25]  Richard E. Mayer,et al.  The Cambridge Handbook of Multimedia Learning: Principles for Reducing Extraneous Processing in Multimedia Learning : Coherence, Signaling, Redundancy, Spatial Contiguity, and Temporal Contiguity Principles , 2005 .

[26]  R. Mayer,et al.  Maximizing Constructivist Learning From Multimedia Communications by Minimizing Cognitive Load , 1999 .

[27]  Brett E. Shelton,et al.  Using augmented reality for teaching Earth-Sun relationships to undergraduate geography students , 2002, The First IEEE International Workshop Agumented Reality Toolkit,.

[28]  Georgios Tsaparlis,et al.  Students' levels of explanations, models, and misconceptions in basic quantum chemistry: A phenomenographic study , 2009 .

[29]  Michael J. Sanger,et al.  Using Computer-Based Visualization Strategies to Improve Students' Understanding of Molecular Polarity and Miscibility , 2001 .

[30]  Noraffandy Yahaya,et al.  Review of Mobile Learning Trends 2010-2015: A Meta-Analysis , 2017, J. Educ. Technol. Soc..

[31]  Tami Levy Nahum,et al.  CAN FINAL EXAMINATIONS AMPLIFY STUDENTS’ MISCONCEPTIONS IN CHEMISTRY? , 2004 .

[32]  Daniel Kim-Chwee Tan,et al.  Alternative conceptions of chemical bonding , 2001 .