Proceedings of the 2018 The 3rd International Conference on Information and Education Innovations - ICIEI 2018, 2018
Stereotyping is the first type of adaptation ever proposed. However, the early systems have never... more Stereotyping is the first type of adaptation ever proposed. However, the early systems have never dealt with the numbers of learners that current Massive Open Online Courses (MOOCs) provide. Thus, the umbrella question that this work tackles is if learner characteristics can predict their overall, but also fine-grain behaviour. Earlier results point at differences related to gender or to age. Here, we analyse gender versus commenting behaviour. Our fine-grained analysis shows that the result may further depend on the course topic, or even week. Surprisingly, for instance, women chat less in a Psychology-related course, but more (or similar) on a Computer Science course. These results are analysed in this paper in details, including two different methods of averaging comments, leading to remarkably different results. The outcomes can help in informing future runs, in terms of potential personalised feedback for teachers and students. • Applied computing → Education; E-learning; • Humancentered computing → Human computer interaction (HCI); Interaction paradigms, Web-based interaction • Human-centered computing → HCI design and evaluation methods; User studies; User models.
Additional file 1 of Development and feasibility of an intervention featuring individual supported work placements to aid return to work for unemployed people living with chronic pain
Additional file 1. Available and matched placement details. Description: Table detailing placemen... more Additional file 1. Available and matched placement details. Description: Table detailing placements that were available, including title, type of provider, details of the role, and which placements were filled.
Adaptive e-Learning is a process where learning contents are delivered to learners adaptively, na... more Adaptive e-Learning is a process where learning contents are delivered to learners adaptively, namely, the appropriate contents are delivered to the learners in an appropriate way at an appropriate time based on the learners’ needs, knowledge, preferences and other characteristics. Social e-Learning is a process where connections are made among like-minded learners, so they can achieve learning goals via communication and interaction with each other by sharing knowledge, skills, abilities and materials. This paper reports an extended case study that investigated the influence of social interactions in an adaptive e-Learning environment, by analyzing the usage of social interaction features of a Social Personalized Adaptive E-Learning Environment (SPAEE), named Topolor, which strives to combine the advantages from both social e-Learning and adaptive e-Learning. We present the results of a quantitative case study that evaluates the perceived usefulness and ease of use. The results ind...
The role that dependency can play in developing programs is a longstanding topic of interest. The... more The role that dependency can play in developing programs is a longstanding topic of interest. The idea that spreadsheet principles are the key to new more accessible ways of programming continues to be a focus for current research. This paper further elaborates an idea whose development has been documented in several previous PPIG meetings: that programming can be best understood by construing human and automated agency in observational terms. Its main focus is on illustrating and discussing a new concept: a with-construct that has been introduced in a recently developed environment for making such construals (the ‘MCE’). Preliminary work indicates that introducing this concept has a transformative impact both on the practice of making construals and its relationship to conventional programming.
Proceedings of the 10th International Conference on Education Technology and Computers - ICETC '18, 2018
Stereotyping is the first type of adaptation in education ever proposed. However, the early syste... more Stereotyping is the first type of adaptation in education ever proposed. However, the early systems have never dealt with the numbers of learners that current MOOCs provide. Thus, the umbrella question that this work tackles is if learner characteristics can predict their overall, but also fine-grain behaviour. Earlier results point at differences related to gender or to age. However, our finer-grain analysis shows that the result may further depend on the course topic, or even week. Surprisingly, for instance, women chat less in a Psychology-related course, but more (or similar) on a Computer Science course. These results are analysed in this paper in details, including different methods of averaging comments, leading to surprisingly different results. The outcomes can help in informing future runs, in terms of potential personalised feedback for teachers and students.
Exchanges: The Interdisciplinary Research Journal, 2013
In recent years, researchers, social commentators and the mass media have turned their attention ... more In recent years, researchers, social commentators and the mass media have turned their attention to shifts in the use of social media for political and social action. This article provides an overview of the recent discussions focusing on how Twitter specifically functions as a mediating tool for social acts. We present findings from a recent pilot project exploring the mechanics of disseminating information via Twitter across a dynamic human network in order to contribute to an understanding of how people use social media to share information and prompt others into action, and outline some approaches for performing this analysis. Taking the perspective of communities of users operating in hybrid spaces, we make recommendations for further research in this field. Key words: Twitter, hybrid spaces, social networks, social acts, information flow
Predicting quality of life and academic performance of school children in Norway: A comparison of relative performances of machine learning and traditional regression modelling using data from a quasi-experimental study with continuous outcomes (Preprint)
BACKGROUND Machine learning (ML) approaches are increasingly being used in health research. It is... more BACKGROUND Machine learning (ML) approaches are increasingly being used in health research. It is not clear how useful these approaches are for modelling continuous health outcomes. Child quality of life (QoL) is associated with parental socioeconomic status and child activity levels, and may be associated with aerobic fitness and strength. It is not clear whether diet, or academic performance (AP) is associated with QoL. OBJECTIVE To compare predictive performances of ML approaches with linear regression for modelling QoL and AP using parental education and lifestyle data. METHODS We modelled data from children attending nine schools in a quasi-experimental study (NCT02495714). We split data randomly into training and validation sets, and simulated curvilinear, non-linear, and heteroscedastic variables. We examined relative performance of ML approaches using R2, making comparisons to mixed and fixed models, and regression with splines, with and without imputation. We also examined ...
Background: Working in good jobs is associated with good health. High unemployment rates are repo... more Background: Working in good jobs is associated with good health. High unemployment rates are reported in those disabled with musculoskeletal pain. Supported employment interventions work well for helping people with mental health difficulties to gain and retain employment. With adaptation, these may be useful for people with chronic pain. We aimed to develop and explore the feasibility of delivering such an adapted intervention. Methods: We developed an intervention and recruited unemployed people with chronic pain from NHS pain clinics and employment services. We trained case managers to assess participants and match them to six-week work placements in the Midlands and provide ongoing support to them and their managers. Participants attended a two-day work preparation session prior to placement. Outcome measures included quality of life at baseline, sixweeks, 14-weeks, and six-months, and return to work at 14-weeks and six-months. We held focus groups or interviews with stakeholders to examine acceptability and experiences of the intervention.
Background: Working in good jobs is associated with good health. High unemployment rates are repo... more Background: Working in good jobs is associated with good health. High unemployment rates are reported in those disabled with musculoskeletal pain. Supported employment interventions work well for helping people with mental health difficulties to gain and retain employment. With adaptation, these may be useful for people with chronic pain. We aimed to develop and explore the feasibility of delivering such an adapted intervention. Methods: We developed an intervention and recruited unemployed people with chronic pain from NHS pain clinics and employment services. We trained case managers to assess participants and match them to six-week work placements in the Midlands and provide ongoing support to them and their managers. Participants attended a two-day work preparation session prior to placement. Outcome measures included quality of life at baseline, sixweeks, 14-weeks, and six-months, and return to work at 14-weeks and six-months. We held focus groups or interviews with stakeholders to examine acceptability and experiences of the intervention.
Responsiveness, Reliability, and Minimally Important and Minimal Detectable Changes of 3 Electronic Patient-Reported Outcome Measures for Low Back Pain: Validation Study (Preprint)
BACKGROUND The Roland Morris Disability Questionnaire (RMDQ), visual analog scale (VAS) of pain i... more BACKGROUND The Roland Morris Disability Questionnaire (RMDQ), visual analog scale (VAS) of pain intensity, and numerical rating scale (NRS) are among the most commonly used outcome measures in trials of interventions for low back pain. Their use in paper form is well established. Few data are available on the metric properties of electronic counterparts. OBJECTIVE The goal of our research was to establish responsiveness, minimally important change (MIC) thresholds, reliability, and minimal detectable change at a 95% level (MDC95) for electronic versions of the RMDQ, VAS, and NRS as delivered via iOS and Android apps and Web browser. METHODS We recruited adults with low back pain who visited osteopaths. We invited participants to complete the eRMDQ, eVAS, and eNRS at baseline, 1 week, and 6 weeks along with a health transition question at 1 and 6 weeks. Data from participants reporting recovery were used in MIC and responsiveness analyses using receiver operator characteristic (ROC) ...
Adaptive hypermedia content authoring using MOT3.0
Page 1. Adaptive Hypermedia Content Authoring using MOT3.0 Jonathan GK Foss and Alexandra I. Cris... more Page 1. Adaptive Hypermedia Content Authoring using MOT3.0 Jonathan GK Foss and Alexandra I. Cristea Department of Computer Science, University of Warwick, Coventry, CV4 7AL, United Kingdom {JGKFoss, AICristea}@warwick.ac.uk Abstract. ...
Learning Management Systems (LMSs) are used in many (educational) institutes to manage the learni... more Learning Management Systems (LMSs) are used in many (educational) institutes to manage the learning process. Adaptive Learning Environments (ALEs) offer support for the learning process through adaptive guidance and perhaps also personalized learning material (content). GRAPPLE offers a new infrastructure that brings both together. This is done through single sign-on, a common User Model Framework and an (asynchronous) event bus that coordinates the communication between the other components. Authors can create structured course material and define the adaptation through a graphical interface, and a flexible and very extensible adaptation engine offers almost any type of presentation and adaptation an author might want. This chapter reports on early experience with the GRAPPLE environment, for teaching and for learning. P.D. Bra et al.
Adaptive e-Learning is a process where learning contents are delivered to learners adaptively, na... more Adaptive e-Learning is a process where learning contents are delivered to learners adaptively, namely, the appropriate contents are delivered to the learners in an appropriate way at an appropriate time based on the learners' needs, knowledge, preferences and other characteristics. Social e-Learning is a process where connections are made among like-minded learners, so they can achieve learning goals via communication
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