Towards the use of commercial wrist wearables in education
01 Jun 2017-pp 323-328
TL;DR: The current state of the art of projects and initiatives based on the use of commercial wrist wearables in education, the types of wearables available nowadays and the main problems and issues involved for educational purposes are reviewed.
Abstract: This paper is about the use of commercial wrist wearables in education, more specifically, about how to support smart education in the context of new smart universities. Wrist wearable devices such smartwatches or smartbands include a variety of sensors that can be used to collect physiological and activity-related data about a subject, for example a learner or a teacher, and estimate insightful features about him. This paper reviews the current state of the art of projects and initiatives based on the use of these devices, the types of wearables available nowadays and the main problems and issues involved for educational purposes: data collection, data integration, sensor accuracy, etc. In the paper, we also introduce our developments towards the provision of sleep and stress indicators taking advantage of these devices. We distinguish among services for students, for teachers and for developers.
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TL;DR: A taxonomy of sensors, functionalities, and methods used in non-invasive wrist-wearable devices was assembled and the main features of commercial wrist- wearable devices are presented.
Abstract: Wearable devices have recently received considerable interest due to their great promise for a plethora of applications. Increased research efforts are oriented towards a non-invasive monitoring of human health as well as activity parameters. A wide range of wearable sensors are being developed for real-time non-invasive monitoring. This paper provides a comprehensive review of sensors used in wrist-wearable devices, methods used for the visualization of parameters measured as well as methods used for intelligent analysis of data obtained from wrist-wearable devices. In line with this, the main features of commercial wrist-wearable devices are presented. As a result of this review, a taxonomy of sensors, functionalities, and methods used in non-invasive wrist-wearable devices was assembled.
180 citations
Cites background from "Towards the use of commercial wrist..."
...De Arriba-Perez, et al. [41] presented a system for a day sleepiness level indicator....
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...The same system by de Arriba-Perez predicts the chronotype of a person - the propensity for that person to sleep at a particular time during the 24 hour period....
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...Papers published by de Arriba-Pérez et al. [41,131] are valuable resources addressing this issue....
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...In a sequence of papers by a team led by de Arriba-Perez [39,41,42], a machine learning system for sleep quality classification is presented....
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21 Apr 2018
TL;DR: Quantitative results showed ScienceStories increased science self-efficacy especially with a motivational structure, and the gamified version had the highest quantity of use, while narrative performance performed worst.
Abstract: Relatively little research exists on the use of smartwatches to support learning. This paper presents an approach for commodity smartwatches as a tool for situated reflection in elementary school science. The approach was embodied in a smartwatch app called ScienceStories that allows students to voice record reflections about science concepts anytime, anywhere. We conducted a study with 18 fifth-grade children to investigate first, the effects of ScienceStories on students' science self-efficacy, and second the effects of different motivational structures (gamification, narrative-based, hybrid) designed into the smartwatch app on students' quality and quantity of use. Quantitative results showed ScienceStories increased science self-efficacy especially with a motivational structure. The gamified version had the highest quantity of use, while narrative performance performed worst. Qualitative findings described how students' recordings related to science topics and were contextualized. We discuss how our findings contribute to understanding of how to design smartwatch apps for educational purposes.
28 citations
TL;DR: It is indicated that perceived vulnerability, self-efficacy, response efficacy, response cost, ease of use, and perceived usefulness have significant effects on students’ behavioral intention to use smartwatches for educational purposes.
Abstract: Despite the increased use of wearables in education, little attention has been paid to why some students are more likely to adopt smartwatches than others. The question of what impacts the adoption of smartwatches in educational activities is still neglected. In addition, the question of how security determinants can affect the adoption of smartwatches by students has not been addressed yet. Hence, this study aims to develop a theoretical model by integrating the technology acceptance model (TAM) and protection motivation theory (PMT) to study students' adoption of smartwatches for educational purposes.,Questionnaires were distributed to university students in Malaysia. A total of 679 valid responses were collected. The collected data were analyzed using partial least squares-structural equation modeling (PLS-SEM).,The results of data analysis provide support for the proposed model. Furthermore, the findings indicated that perceived vulnerability, self-efficacy, response efficacy, response cost, ease of use and perceived usefulness have significant effects on students' behavioral intention to use smartwatches for educational purposes. In addition, perceived ease of use of smartwatches for educational purposes helps students to realize the benefits of this technology.,This is an original study that develops a new holistic theoretical model by combining the PMT and TAM to study the effects of ease of use, usefulness and security-related factors on the adoption of smartwatches for educational purposes. The study offers practical implications for universities and higher education institutions to improve students' learning experiences to ensure their sustainability using new and innovative ways by exploiting new technologies such as smartwatches.
27 citations
TL;DR: In this article, the theory of fuzzy stratification from IoT perspective is presented for the first time in this paper This theory is based on the related theory of fuzz assessment by measuring the teaching quality evaluation index Initially, theoretical analysis and model measurement were merged to build a better multi-angle EIS for teaching quality To manage fuzzy indexes, a teaching quality assessment model was developed using both quantitative and qualitative studies The suggested EIS and fuzzy assessment model can effectively evaluate the standard of teaching in schools, colleges, universities, and institutes, according to implementation results This qualitative assessment approach is empirical and rational
Abstract: Internet of Things has the ability to revolutionize computer-based teaching and assess the quality of teaching at the same time The assessment of teaching efficiency is hampered by two issues: the evaluation index method (EIS) is insufficient, and the assessment framework is incapable of dealing with complicated fuzzy indexes To address these issues, the theory of fuzzy stratification from IoT perspective is presented for the first time in this paper This theory is based on the related theory of fuzzy assessment by measuring the teaching quality evaluation index Initially, theoretical analysis and model measurement were merged to build a better multiangle EIS for teaching quality To manage fuzzy indexes, a teaching quality assessment model was developed using both quantitative and qualitative studies The suggested EIS and fuzzy assessment model can effectively evaluate the standard of teaching in schools, colleges, universities, and institutes, according to implementation results This qualitative assessment approach is empirical and rational, and it strongly promotes the quality enhancement of educational effectiveness, based on our experimental and simulation results
19 citations
TL;DR: In this paper, a systematic review of the scientific literature, collected in 4 major repositories, was carried out to locate research initiatives where wrist wearables were introduced to address some sports-related challenges.
Abstract: Wrist wearables are becoming more and more popular, and its use is widespread in sports, both professional and amateur. However, at present, they do not seem to exploit all their potential. The objective of this study is to explore innovative proposals for the use of wearable wrist technology in the field of sports, to understand its potential and identify new challenges and lines of future research related to this technology. A systematic review of the scientific literature, collected in 4 major repositories, was carried out to locate research initiatives where wrist wearables were introduced to address some sports-related challenges. Those works that were limited to evaluating sensor performance in sports activities and those in which wrist wearable devices did not play a significant role were excluded. 26 articles were eventually selected for full-text analysis that discuss the introduction of wrist-worn wearables to address some innovative use in the sports field. This study showcases relevant proposals in 10 different sports. The research initiatives identified are oriented to the use of wearable wrist technology (i) for the comprehensive monitoring of sportspeople’s behavior in activities not supported by the vendors, (ii) to identify specific types of movements or actions in specific sports, and (iii) to prevent injuries. There are, however, open issues that should be tackled in the future, such as the incorporation of these devices in sports activities not currently addressed, or the provision of specific recommendation services for sport practitioners.
18 citations
References
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TL;DR: In this article, a conceptual framework for assessing student motivation and self-regulated learning in the college classroom is presented, which is based on a self-regulatory perspective on student motivation in contrast to a student approaches to learning.
Abstract: A conceptual framework for assessing student motivation and self-regulated learning in the college classroom is presented. The framework is based on a self-regulatory (SRL) perspective on student motivation and learning in contrast to a student approaches to learning (SAL) perspective. The differences between SRL and SAL approaches are discussed, as are the implications of the SRL conceptual framework for developing instruments to assess college student motivation and learning. The conceptual framework may be useful in guiding future research on college student motivation and learning.
2,248 citations
13 Sep 2014
TL;DR: A Dartmouth term lifecycle is identified in the data that shows students start the term with high positive affect and conversation levels, low stress, and healthy sleep and daily activity patterns, while stress appreciably rises while positive affect, sleep, conversation and activity drops off.
Abstract: Much of the stress and strain of student life remains hidden. The StudentLife continuous sensing app assesses the day-to-day and week-by-week impact of workload on stress, sleep, activity, mood, sociability, mental well-being and academic performance of a single class of 48 students across a 10 week term at Dartmouth College using Android phones. Results from the StudentLife study show a number of significant correlations between the automatic objective sensor data from smartphones and mental health and educational outcomes of the student body. We also identify a Dartmouth term lifecycle in the data that shows students start the term with high positive affect and conversation levels, low stress, and healthy sleep and daily activity patterns. As the term progresses and the workload increases, stress appreciably rises while positive affect, sleep, conversation and activity drops off. The StudentLife dataset is publicly available on the web.
917 citations
06 Apr 2008
TL;DR: The LilyPad Arduino is described, a fabric-based construction kit that enables novices to design and build their own soft wearables and other textile artifacts and its relation to technology education is discussed.
Abstract: The advent of novel materials (such as conductive fibers) combined with accessible embedded computing platforms have made it possible to re-imagine the landscapes of fabric and electronic crafts--extending these landscapes with the creative range of electronic/computational textiles or e-textiles. This paper describes the LilyPad Arduino, a fabric-based construction kit that enables novices to design and build their own soft wearables and other textile artifacts. The kit consists of a microcontroller and an assortment of sensors and actuators in stitch-able packages; these elements can be sewn to cloth substrates and each other with conductive thread to build e-textiles. This paper will introduce the latest version of the kit; reflect on its affordances; present the results of our most recent user studies; and discuss possible directions for future work in the area of personalized e-textile design and its relation to technology education.
527 citations
TL;DR: It is found that most short contacts are not reported in diaries while long contacts have a large reporting probability, and that the durations of contacts tend to be overestimated in the diaries, and the overall structure of the contact network is correctly captured by both networks of self-reported contacts and of friendships.
Abstract: Given their importance in shaping social networks and determining how information or transmissible diseases propagate in a population, interactions between individuals are the subject of many data collection efforts. To this aim, different methods are commonly used, ranging from diaries and surveys to decentralised infrastructures based on wearable sensors. These methods have each advantages and limitations but are rarely compared in a given setting. Moreover, as surveys targeting friendship relations might suffer less from memory biases than contact diaries, it is interesting to explore how actual contact patterns occurring in day-to-day life compare with friendship relations and with online social links. Here we make progresses in these directions by leveraging data collected in a French high school and concerning (i) face-to-face contacts measured by two concurrent methods, namely wearable sensors and contact diaries, (ii) self-reported friendship surveys, and (iii) online social links. We compare the resulting data sets and find that most short contacts are not reported in diaries while long contacts have a large reporting probability, and that the durations of contacts tend to be overestimated in the diaries. Moreover, measured contacts corresponding to reported friendship can have durations of any length but all long contacts do correspond to a reported friendship. On the contrary, online links that are not also reported in the friendship survey correspond to short face-to-face contacts, highlighting the difference of nature between reported friendships and online links. Diaries and surveys suffer moreover from a low sampling rate, as many students did not fill them, showing that the sensor-based platform had a higher acceptability. We also show that, despite the biases of diaries and surveys, the overall structure of the contact network, as quantified by the mixing patterns between classes, is correctly captured by both networks of self-reported contacts and of friendships, and we investigate the correlations between the number of neighbors of individuals in the three networks. Overall, diaries and surveys tend to yield a correct picture of the global structural organization of the contact network, albeit with much less links, and give access to a sort of backbone of the contact network corresponding to the strongest links, i.e., the contacts of longest cumulative durations.
458 citations
TL;DR: The lessons from the first wave of smartphone-sensing research are drawn to highlight areas of opportunity for psychological research, present practical considerations for designing smartphone studies, and discuss the ongoing methodological and ethical challenges associated with research in this domain.
Abstract: Smartphones now offer the promise of collecting behavioral data unobtrusively, in situ, as it unfolds in the course of daily life. Data can be collected from the onboard sensors and other phone logs embedded in today's off-the-shelf smartphone devices. These data permit fine-grained, continuous collection of people's social interactions (e.g., speaking rates in conversation, size of social groups, calls, and text messages), daily activities (e.g., physical activity and sleep), and mobility patterns (e.g., frequency and duration of time spent at various locations). In this article, we have drawn on the lessons from the first wave of smartphone-sensing research to highlight areas of opportunity for psychological research, present practical considerations for designing smartphone studies, and discuss the ongoing methodological and ethical challenges associated with research in this domain. It is our hope that these practical guidelines will facilitate the use of smartphones as a behavioral observation tool in psychological science.
350 citations