A machine learning approach to measure and monitor physical activity in children to help fight overweight and obesity

Physical Activity is important for maintaining healthy lifestyles. Recommendations for physical activity levels are issued by most governments as part of public health measures. As such, reliable measurement of physical activity for regulatory purposes is vital. This has lead research to explore standards for achieving this using wearable technology and artificial neural networks that produce classifications for specific physical activity events. Applied from a very early age, the ubiquitous capture of physical activity data using mobile and wearable technology may help us to understand how we can combat childhood obesity and the impact that this has in later life. A supervised machine learning approach is adopted in this paper that utilizes data obtained from accelerometer sensors worn by children in free-living environments. The paper presents a set of activities and features suitable for measuring physical activity and evaluates the use of a Multilayer Perceptron neural network to classify physical activities by activity type. A rigorous reproducible data science methodology is presented for subsequent use in physical activity research. Our results show that it was possible to obtain an overall accuracy of 96 % with 95 % for sensitivity, 99 % for specificity and a kappa value of 94 % when three and four feature combinations were used.

Blended learning and art education: student participation in a collaborative, authentic assessment project

This paper reports on higher education student engagement with blended learning experiences incorporating located (on campus), cloud based (online e-learning ) and graphically built, socially networked 3D multi user virtual environments (MUVES). Immersion in this environment enabled collaboration between two groups of students enrolled in separate undergraduate art education and public relations units, to identify, develop and participate in an integrated, authentic assessment project. It is contended that immersive blended learning experiences support creative problem solving and encourages synchronous and asynchronous student participation in authentic problem solving and collaborative practice. Interacting with co-learners, students gain knowledge and skills through situated learning, defined as the application of knowledge, learned in one setting and transferred to another and where immersion in a virtual learning experience leads to higher level engagement on the transfer task in a real world setting. In this project, collaborative blended learning involved the creation of a collection of digital artworks by art education students using computer software located in a real world environment. These artworks were curated and exhibited by the students in a virtual gallery they designed and built on Deakin Arts Education island in Second Life. For public relations students, the virtual art exhibition was the focus of a virtual campaign, designed, researched and developed by them to promote the Deakin Virtual Art Gallery on Deakin island in Second Life. The final promotion for the Virtual Gallery was presented by the students at a symposium in both real world and virtual world environments.

Navigating 21st Century multimodal textual environments: a case study of digital literacy

In the 21st century young people live and learn in a technological world that is fast paced and in a constant state of change. As technology becomes more and more accessible outside of the classroom,educators are challenged to re-consider the literacy skills required to be successfully literate. Enacting literacy teaching and learning in and for the 21st century requires teachers to update their pedagogicalknowledge, skills and contextual understanding of the world children live and learn in. This chapter offers a brief overview of the Australian Curriculum, locating it within a 21st century learning discourse.The authors interpret and analyse one young student’s creation of a digital text in a movie modality. Attention is paid to how the case study teacher created meaningful digital literacy learning experiences and opportunities for children to create and interact in social, multimodal textual environments, both within and beyond the school.

Innovation in language education: enriching Arabic language learner experiences and proficiency in 2D and 3D environments.

Abstract:-Global language and cultural communicative competency is an ever increasing requirement in our connected world. Learners of Arabic at the only five Australian universities where Arabic is taught have access to predominantly on-campus delivery modes. One of the main challenges learners face when learning another language (L2) in an academic setting in countries where that language is not actively used – so little L2 exposure – is that it is harder to provide meaningful contexts for learning. This restriction in L2 exposure in the formal academic framework is due to the limited face-to-face learning time and, more significantly, is compounded by lack of exposure to the language‟s authentic use settings. Students are often isolated from the target language‟s authentic discourse communities and native speakers. This situation is exacerbated for Cloud (online) students, studying in relative isolation. All of these factors make developing communicative oral fluency in Modern Standard Arabic (MSA) moredifficult and challenging for many learners. This paper will discuss two innovative approaches used at Deakin University in Melbourne, Australia to enable learners of Arabic at Deakin University to practice their developing skills by listening, practising, and experiencing directly how the language is used outside the classroom boundaries as well as allow learners to develop their oral and cultural communicative competency by engaging them in simulating and evolving authentic language scenarios with native Arabic speakers through the Virtual World (VW).

A Comparison of the Effects of Classroom and Multi-User Virtual Environments on the Perceived Speaking Anxiety of Adult Post-Secondary English Language Learners

The population of English Language Learners (ELLs) globally has been increasing substantially every year. In the United States alone, adult ELLs are the fastest growing portion of learners in adult education programs (Yang, 2005). There is a significant need to improve the teaching of English to ELLs in the United States and other English-speaking dominant countries. However, for many ELLs, speaking, especially to Native English Speakers (NESs), causes considerable language anxiety, which in turn plays a vital role in hindering their language development and academic progress (Pichette, 2009; Woodrow, 2006). Task-based Language Teaching (TBLT), such as simulation activities, has long been viewed as an effective approach for second-language development. The current advances in technology and rapid emergence of Multi-User Virtual Environments (MUVEs) have provided an opportunity for educators to consider conducting simulations online for ELLs to practice speaking English to NESs. Yet to date, empirical research on the effects of MUVEs on ELLs’ language development and speaking is limited (Garcia-Ruiz, Edwards, & Aquino-Santos, 2007). This study used a true experimental treatment control group repeated measures design to compare the perceived speaking anxiety levels (as measured by an anxiety scale administered per simulation activity) of 11 ELLs (5 in the control group, 6 in the experimental group) when speaking to Native English Speakers (NESs) during 10 simulation activities. Simulations in the control group were done face-to-face, while those in the experimental group were done in the MUVE of Second Life. The results of the repeated measures ANOVA revealed after the Huynh-Feldt epsilon correction, demonstrated for both groups a significant decrease in anxiety levels over time from the first simulation to the tenth and final simulation. When comparing the two groups, the results revealed a statistically significant difference, with the experimental group demonstrating a greater anxiety reduction. These results suggests that language instructors should consider including face-to-face and MUVE simulations with ELLs paired with NESs as part of their language instruction. Future investigations should investigate the use of other multi-user virtual environments and/or measure other dimensions of the ELL/NES interactions.

‘‘Model age-based” and ‘‘copy when uncertain” biases in children’s social learning of a novel task

Theoretical models of social learning predict that individuals can benefit from using strategies that specify when and whom to copy. Here the interaction of two social learning strategies, model age-based biased copying and copy when uncertain, was investigated. Uncertainty was created via a systematic manipulation of demonstration efficacy (completeness) and efficiency (causal relevance of some actions). The participants, 4- to 6-year-old children (N = 140), viewed both an adult model and a child model, each of whom used a different tool on a novel task. They did so in a complete condition, a near-complete condition, a partial demonstration condition, or a no-demonstration condition. Half of the demonstrations in each condition incorporated causally irrelevant actions by the models. Social transmission was assessed by first responses but also through children’s continued fidelity, the hallmark of social traditions. Results revealed a bias to copy the child model both on first response and in continued interactions. Demonstration efficacy and efficiency did not affect choice of model at first response but did influence solution exploration across trials, with demonstrations containing causally irrelevant actions decreasing exploration of alternative methods. These results imply that uncertain environments can result in canalized social learning from specific classes of mode