Abstract
Recent advances in augmented reality (AR) have attracted much attention in nutrition and healthcare education. In the context of obtaining dietary knowledge, a mobile AR system was developed for learning and exploration, which allowed students to scan food images, receive information about nutrient content and record as well as accumulate daily nutrient intake. Students could also access learning materials provided in the system to achieve the learning objectives. Their learning outcomes were gathered at the close, with reactions to the learning experiences also assessed via a set of questionnaire items (using a 5 point Likert scale) in various criteria. Both qualitative and quantitative data were gathered, showing that most students achieved the learning objectives and were positive about exploring with AR. The results of this study indicated that students with high levels of monitoring had better learning outcomes (p<0.05) and were more positive about the varied criteria in their responses, including: visual interest and learning enjoyment, functional use, personal relevance and learning of knowledge (p<0.05). The effect of the self-participatory aspect of AR on learning is emphasized.
Funding statement: Ministry of Science and Technology, Taiwan, Funder Id: 10.13039/501100004663, Grant Number: MOST 105-2511-S-030 −002
Acknowledgements
This project was supported by the Ministry of Science and Technology at Taiwan (MOST 105-2511-S-030 −002). The authors would like to express their appreciation for the generous sponsorship.
References
Bill, H. N. 2015. Effects of Nutrition Education Messages Delivered by SMS/text Message on Self-Efficacy, Dietary Intake, and Body Composition of College Athletes. Pomona: California State Polytechnic University. Accessed February 15, 2018, https://broncoscholar.library.cpp.edu/handle/10211.3/158542.Search in Google Scholar
Butt, S. M., and K. F. Navarro. 2016. “Review Paper on Nutritional Information Using Mobile Augmented Reality Technology.” Information Science and Applications (ICISA) 2016: 1439–1445.10.1007/978-981-10-0557-2_137Search in Google Scholar
Carver, C. S., and F. S. Michael. 2012. “A Model of Behavioral Self-Regulation.” Chap. 24 In Handbook of Theories of Social Psychology: Volume 1, edited by Paul A. M. Van Lange, Arie W. Kruglanski and E. Tory Higgins. 505–25. SAGE Publications.10.4135/9781446249215.n25Search in Google Scholar
Castro, I. A., C. B. Williams, H. Madanat et al. 2016. “Food Ordering for Children in Restaurants: Multiple Sources of Influence on Decision Making.” Public Health Nutrition 19 (13): 2404–2409.10.1017/S1368980016001403Search in Google Scholar
Chen, P., X. Liu, W. Cheng et al. 2017. “A Review of Using Augmented Reality in Education from 2011 to 2016.” In Innovations in Smart Learning, edited by E. Popescu, M.K. Khribi, R. Huang et al., 13–18. Singapore: Springer.10.1007/978-981-10-2419-1_2Search in Google Scholar
Chi, P-Y., J-H. Chen, H-H Chu et al. 2007. Enabling Nutrition-Aware Cooking in a Smart Kitchen. CHI’07 extended abstracts on Human factors in computing systems, 2333–2338. New York: Association for Computing Machinery.10.1145/1240866.1241003Search in Google Scholar
Chiang, T. H. C., S. J. H. Yang, and G-J Hwang. 2014. “An Augmented Reality-Based Mobile Learning System to Improve Students’ Learning Achievements and Motivations in Natural Science Inquiry Activities.” Journal of Educational Technology & Society 17 (4): 352–365.Search in Google Scholar
Crane, M. M., D. S. Ward, L. D Lutes et al. 2016. “Theoretical and behavioral mediators of a weight loss intervention for men.” Annals of Behavioral Medicine 50 (3): 460–470.10.1007/s12160-016-9774-zSearch in Google Scholar
Di Serio, A., M. B. Ibáñez, and C. D. Kloos. 2013. “Impact of an Augmented Reality System on Students’ Motivation for a Visual Art Course.” Computers & Education 68: 586–596.10.1016/j.compedu.2012.03.002Search in Google Scholar
Dohle, S., K. Diel, and W. Hofmann. 2017 in press. Executive Functions and the Self-Regulation of Eating Behavior: A Review. Appetite. 10.1016/j.appet.2017.05.041. Accessed July 10, 2017. https://doi.org/10.1016/j.appet.2017.05.041.Search in Google Scholar
Domhardt, M., M. Tiefengrabner, R. Dinic et al. 2015. “Training of Carbohydrate Estimation for People with Diabetes Using Mobile Augmented Reality.” Journal of Diabetes Science and Technology 9 (3): 516–524.10.1177/1932296815578880Search in Google Scholar
Forman, E. M., J.A. Shaw, S. P. Goldstein et al. 2016. “Mindful Decision Making and Inhibitory Control Training as Complementary Means to Decrease Snack Consumption.” Appetite 103: 176–183.10.1016/j.appet.2016.04.014Search in Google Scholar
Giannakos, M. N., M. Divitini, O.S. Iversen et al. 2015. Make2learn: Fostering Engagement and Creativity in Learning through Making. Paper presented at the Workshop of Making as a Pathway to Foster Joyful Engagement and Creativity in Learning (Make2Learn).10.1145/2930674.2932227Search in Google Scholar
Giraldo, F. D. et al. 2016. Application of Augmented Reality and Usability Approaches for the Implementation of an Interactive Tour Applied at the University of Quindio. Computing Conference (CCC), 2016 IEEE 11th Colombian, IEEE.10.1109/ColumbianCC.2016.7750798Search in Google Scholar
Hamari, J., D. J. Shernoff, E. Rowe et al. 2016. “Challenging Games Help Students Learn: An Empirical Study on Engagement, Flow and Immersion in Game-Based Learning.” Computers in Human Behavior 54: 170–179.10.1016/j.chb.2015.07.045Search in Google Scholar
Henrie, CR., LR. Halverson, and C. R. Graham. 2015. “Measuring Student Engagement in Technology-Mediated Learning: A Review.” Computers & Education 90: 36–53.10.1016/j.compedu.2015.09.005Search in Google Scholar
Hong, J-C., M-Y. Hwang, M-C. Liu et al. 2014. “Using a “Prediction–Observation–Explanation” Inquiry Model to Enhance Student Interest and Intention to Continue Science Learning Predicted by Their Internet Cognitive Failure.” Computers & Education 72: 110–120.10.1016/j.compedu.2013.10.004Search in Google Scholar
Kirschner, P. A. 1992. “Epistemology, practical work and academic skills in science education.” Science & Education 1 (3): 273–299.10.1007/BF00430277Search in Google Scholar
Koike, S., R. Hardy, and M. Richards. 2015. “Adolescent Self-Control Behavior Predicts Body Weight through the Life Course: A Prospective Birth Cohort Study.” International Journal of Obesity 40: 71–76. 10.1038/ijo.2015.213.Search in Google Scholar
Kolb, DA., RE. Boyatzis, and C. Mainemelis. 2001. “Experiential Learning Theory: Previous Research and New Directions.” Perspectives on Thinking, Learning, and Cognitive Styles 1 (8): 227–247.10.4324/9781410605986-9Search in Google Scholar
Labbé, J., CE. Dewey, LJ. Weber et al. 2015. “Strategic Planning through A Participatory Learning and Action Framework: A Kenyan Study.” Development in Practice252: 277–287.10.1080/09614524.2015.1000828Search in Google Scholar
Lin, C-C., and C-C. Tsai. 2012. “Participatory Learning through Behavioral and Cognitive Engagements in an Online Collective Information Searching Activity.” International Journal of Computer-Supported Collaborative Learning 7 (4): 543–566.10.1007/s11412-012-9160-1Search in Google Scholar
Milyavskaya, M., M. Inzlicht, N. Hope et al. 2015. “Saying “No” to Temptation: Want-To Motivation Improves Self-Regulation by Reducing Temptation Rather than by Increasing Self-Control.” Journal of Personality and Social Psychology 109 (4): 677.10.1037/pspp0000045Search in Google Scholar
Narumi, T., Y. Ban, T. Kajinami et al. 2012. Augmented Perception of Satiety: Controlling Food Consumption by Changing Apparent Size of Food with Augmented Reality. Paper presented at the Proceedings of the SIGCHI Conference on Human Factors in Computing Systems.10.1145/2207676.2207693Search in Google Scholar
Scheier, MF., and CS. Carver. 2014. Cognition, Affect, and Self-Regulation. Paper presented at the Affect and Cognition: 17th Annual Carnegie Mellon Symposium on Cognition. New York, NY: Psychology Press.Search in Google Scholar
Schuster, E. 2013. “Using Technology to Support Experiential Learning in Extension Nutrition and Health Programs.” Journal of Family and Consumer Sciences 105 (4): 46–48.10.14307/JFCS105.4.11Search in Google Scholar
Sleddens, EF., W. Kroeze, LF. Kohl et al. 2015. “Correlates of Dietary Behavior in Adults: An Umbrella Review.” Nutrition Reviews 73 (8): 477–499. 10.1038/ijo.2015.213.Search in Google Scholar
Stephens, J. 2015. “A Participatory Learning Model and Person-Centered Healthcare: Moving Away from “One Hand Clapping.” European Journal for Person Centered Healthcare 3 (3): 279–287.10.5750/ejpch.v3i3.950Search in Google Scholar
Stutz, T., R. Dinic, M. Domhardt et al. 2014. Can Mobile Augmented Reality Systems Assist in Portion Estimation? A User Study. Paper presented at the Mixed and Augmented Reality-Media, Art, Social Science, Humanities and Design (ISMAR-MASH’D), 2014 IEEE International Symposium.10.1109/ISMAR-AMH.2014.6935438Search in Google Scholar
Tan, Q., W. Chang, and Kinshuk. 2015. “Location-Based Augmented Reality for Mobile Learning: Algorithm, System, and Implementation.” Electronic Journal of e-Learning 13 (2): 138–148.Search in Google Scholar
Terras, MM., and J. Ramsay. 2012. “The Five Central Psychological Challenges Facing Effective Mobile Learning.” British Journal of Educational Technology 43 (5): 820–832.10.1111/j.1467-8535.2012.01362.xSearch in Google Scholar
Van Velsen, L., DJ. Beaujean, and J. E. Van Gemert-Pijnen. 2013. “Why Mobile Health App Overload Drives Us Crazy, and How to Restore the Sanity.” BMC Medical Informatics and Decision Making 13 (1): 23.10.1186/1472-6947-13-23Search in Google Scholar
Waltner, G., M. Schwarz, S. Ladstätter et al. 2015. Mango-Mobile Augmented Reality with Functional Eating Guidance and Food Awareness. Paper presented at the New Trends in Image Analysis and Processing–ICIAP 2015 Workshops.10.1007/978-3-319-23222-5_52Search in Google Scholar
Wibrowski, C. R., W. K. Matthews, and A. Kitsantas. 2017. “The role of a skills learning support program on first-generation college students’ self-regulation, motivation, and academic achievement: A longitudinal study.” Journal of College Student Retention: Research, Theory & Practice 19 (3): 317–332.10.1177/1521025116629152Search in Google Scholar
Worsley, A. 2002. “Nutrition knowledge and food consumption: can nutrition knowledge change food behaviour?” Asia Pacific journal of clinical nutrition 11 (s3): S579–S585. doi: https://doi.org/10.1046/j.1440-6047.11.supp3.7.x.10.1046/j.1440-6047.11.supp3.7.xSearch in Google Scholar
Yilmaz, M., R. Yilmaz, and D. Sahin. 2015. Effects of Augmented Reality Technology in Science Education on Students’ Achievements. Paper presented at the Proceedings of the Proceedings of the 16th International Academic Conference.Search in Google Scholar
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