Collaborative problem based learning in distance and mobile education

Since the early 1970s, Problem based Learning (PBL) in small groups is a prominent and innovative didactic approach with multiple facets, good practices and demonstrated effectiveness in many countries, for many different subjects and education/training programs, and in various settings (primary, secondary and higher tertiary education) (see e. g. Edens, 2000, Savery, 2006; Ertmer, Hmelo-Silver, 2015). However, this concept is not so much perceived in distance learning programs even though new technologies allow for better real-time collaboration in virtual classrooms and workspaces, mobile access to electronic learning resources via smart phones, and digital learning content like videos, podcasts or simulation tools. One reason for this might be the lack of conceptual frameworks and appropriate models for PBL in distance education. In this article, one prominent concept for designing PBL learning settings will be presented and its application in practice discussed: the 3C3R-Model of Hung (2006) defines a framework for Content, Context, and Connection (3C), which are interlinked through learner activities such as Researching, Reasoning and Reflecting (3R).Practical implications and examples for the design of appropriate distance learning designs based on this model will be presented and discussed with the audience.

Active video games - An opportunity for enhanced learning and positive health effects?

Active video games are an emerging genre of electronic games that provide engaging exercise experiences by combining physical exertion with interactive game play. As such they have attracted increased interest from health promotion professionals to reduce sedentary behavior, increase physical activity, and improve health outcomes such as body composition. However their potential for enhancing the educational experience has not been extensively explored. This paper provides a brief overview of active video game research to date and outlines opportunities for future research. Specifically, we highlight the need to develop a conceptual framework to better understand the determinants, mediators, moderators, and consequences of active video gaming and integrate learning and health outcomes. Wepropose that active video games can be a key part of a wider “digital” supportive environment where education and health researchers and professionals work with, rather than against, video game technologies to promote learning and health.

Support for assessment practice: developing the assessment design decisions framework

There are many excellent publications outlining features of assessment and feedback design in higher education. However, university educators often find these ideas challenging to realise in practice, as much of the literature focuses on institutional change rather than supporting academics. This paper describes the conceptual development of a practical framework designed to stimulate educators’ thinking when creating or modifying assessments. We explain the concepts that underpin this practical support, including the notions of ‘assessment decisions’ and ‘assessment design phases’, as informed by relevant literature and empirical data. We also present the outcome of this work. The Assessment Design Decisions Framework. This provides key considerations in six categories: purposes, contexts, tasks, interactions, feedback processes and learning outcomes. By tracing the development of the Framework, we highlight complex ways of thinking about assessment that are relevant to those who design and deliver assessment to tertiary students.

Emergent behaviour: learning from an artificially intelligent performing software agent

This research investigates the possibility for emergent choreographic behaviour to arise from the interactions between a human dancer and a learning, digital performing agent. The cognitive framework is extended through theories of distributed cognition to take into account the two interacting agents rather than a single agent and its environment. The Artificial Neural Network based performing agent demonstrated emergent dance behaviour when performing live with the human dancer. The agent was able to follow the dancer, create movement phrases based on what the dancer was performing and recognize short movement phrases, as a result of the interaction of the dancer’s motion captured movement data and the agent’s artificial neural network. This emergent behaviour was not explicitly programmed, but emerged as a result of the learning process and the interactions with the human dancer.

Identifying inorganic material affinity classes for peptide sequences based on context learning

There is a growing interest in identifying inorganic material affinity classes for peptide sequences due to the development of bionanotechnology and its wide applications. In particular, a selective model capable of learning cross-material affinity patterns can help us design peptide sequences with desired binding selectivity for one inorganic material over another. However, as a newly emerging topic, there are several distinct challenges of it that limit the performance of many existing peptide sequence classification algorithms. In this paper, we propose a novel framework to identify affinity classes for peptide sequences across inorganic materials. After enlarging our dataset by simulating peptide sequences, we use a context learning based method to obtain the vector representation of each amino acid and each peptide sequence. By analyzing the structure and affinity class of each peptide sequence, we are able to capture the semantics of amino acids and peptide sequences in a vector space. At the last step we train our classifier based on these vector features and the heuristic rules. The construction of our models gives us the potential to overcome the challenges of this task and the empirical results show the effectiveness of our models.

Prosper: A new framework for positive education

Positive psychology is the study of the conditions and processes that contribute to optimal flourishing in people, groups and organisations. This paper outlines the PROSPER framework, an organising tool for the implementation of Positive Education, a relatively new direction which represents the application of Positive Psychology research to educational contexts. The word ‘PROSPER’ communicates the purpose of the framework and is also an acronym that highlights the seven key elements that have been identified as contributing to wellbeing: Positivity, Relationships, Outcomes, Strengths, Purpose, Engagement, and Resilience. Confirmatory data on the usefulness of the PROSPER framework, obtained through surveys conducted with researchers from the Institute of Positive Psychology and Education (ACU) and fifty-four educators from four different schools, is presented and discussed. A rationale for the inclusion of the seven components is provided and the PROSPER framework is then further supported by reference to the evidence-informed school and classroom practices that contribute to student wellbeing and achievement and help to build schools as enabling institutions.

Good practice guidelines for curriculum, supervision and assessment of final year engineering projects and AQF8 learning outcomes

Undergraduate engineering programs require final year students to complete capstone final year projects and demonstrate that they can integrate knowledge, skills and professional graduate attributes developed during the program at Australian Qualification Framework, level 8 (AQF8) outcomes. Literature shows that currently there is no guarantee of consistency for curriculum, supervision and assessment practices of FYEPs. Practices differ greatly between universities and littlework has been initiated that seeks to identify good practice, highlighting the need for the development of guidelines for curriculum, supervision and assessment of FYEPs. This workshop is designed to share and disseminate the good practice guidelines that have been developed on curriculum, supervision and assessment of Final Year Engineering Projects as a part of phase 2 of the project ‘Assessing Final Year Engineering Projects (FYEPs): Ensuring Learning and Teaching Standards and AQF8 Outcomes’ funded by the Australian Office for Learning and Teaching (OLT) with people working in the area of FYEPs. The guidelines typically apply to four year undergraduate engineering degrees with embedded Honours and support achievement of AQF8learning outcomes. The project team has 7 partner Universities – Central Queensland University (the lead), University of Technology Sydney, University of Adelaide, Curtin University, Deakin University, University of Tasmania and RMIT University.Participants will be invited to reflect on and evaluate guidelines and findings derived from FYEP coordinators, supervisors and the wider literature and to consider the ways in which these findings might lead to improvements in their practice.

Integrating internet-of-things with the power of cloud computing and the intelligence of big Data analytics- a three layered approach

This paper is written through the vision on integrating Internet-of-Things (IoT) with the power of Cloud Computing and the intelligence of Big Data analytics. But integration of all these three cutting edge technologies is complex to understand. In this research we first provide a security centric view of three layered approach for understanding the technology, gaps and security issues. Then with a series of lab experiments on different hardware, we have collected performance data from all these three layers, combined these data together and finally applied modern machine learning algorithms to distinguish 18 different activities and cyber-attacks. From our experiments we find classification algorithm RandomForest can identify 93.9% attacks and activities in this complex environment. From the existing literature, no one has ever attempted similar experiment for cyber-attack detection for IoT neither with performance data nor with a three layered approach.

Identifying pedagogy and teaching strategies for achieving nationally prescribed learning outcomes

With the globalisation of university education, national frameworks are commonly used to prescribe standardised learning outcomes and achieve accountability. However, these frameworks are generally not accompanied by guiding pedagogy to support academics in adjusting their teaching practices to achieve the set outcomes. This paper reports the results of a scoping review of health science literature aimed at identifying pedagogy and teaching strategies relevant to achieve the learning outcomes specified by the Australian Qualifications Framework at a master's degree level. Eight practical teaching messages emerged from the review and three broad pedagogical trends were identified: the need to use authentic disciplinary-based learning activities; ensure that students are able to discover different perspectives about future practice and bring student reflection about their own knowledge into curricula. More critically, the review highlights that academics attempting to translate national learning outcome frameworks into their teaching practices face a complex and time-consuming task which may involve searching beyond their own disciplinary focus to identify practical teaching strategies to meet prescribed learning outcomes.

A perspective on supporting STEM academics with blended learning at an Australian university

Design-based educational research can aid in providing a lens into understanding the complexities around imaginative methods, while also creating an avenue to share personal insights to support the solving of teaching and learning problems to direct future efforts. In this study, the ‘I’ narrative was extensively utilised in the form of an autoethnography perspective. This was achieved by incorporating three self-report methods within a design experiment, in order to explore the messiness associated with showcasing the creation and modification of a faculty-wide blended learning framework for STEM teachers. Data generation procedures from three sources provided the evidential basis for investigating this process: (1) self-reflection, (2) key literature findings, and (3) critical discussions from a community of inquiry. The findings identified three particular features of the process of change that were challenging, for which STEM academics required support: educators’ professional context; finding models to support change in practice; and identifying the change agent. The paper argues for the program of a personal and complex methodology to inform practice, providing insights into the change process, because process is just as important as product.

A text analytics evaluation of a first-year engineering project-based unit

In the undergraduate engineering program at Griffith University in Australia, the unit 1006ENG Design and Professional Skills aims to provide an introduction to engineering design and professional practice through a project-based learning (PBL) approach to problem solving. It provides students with an experience of PBL in the first-year of their programme. The unit comprises an underpinning lecture series, design work including group project activities, an individual computer-aided drawing exercise/s and an oral presentation. Griffith University employs a ‘Student Experience of Course’ (SEC) online survey as part of its student evaluation of teaching, quality improvement and staff performance management processes. As well as numerical response scale items, it includes the following two questions inviting open-ended text responses from students: i) What did you find particularly good about this course? and ii) How could this course be improved? The collection of textual data in in student surveys is commonplace, due to the rich descriptions of respondent experiences they can provide at relatively low cost. However, historically these data have been underutilised because they are time consuming to analyse manually, and there has been a lack of automated tools to exploit such data efficiently. Text analytics approaches offer analysis methods that result in visual representations of comment data that highlight key individual themes in these data and the relationships between those themes. We present a text analytics-based evaluation of the SEC open-ended comments received in the first two years of offer of the PBL unit 1006ENG. We discuss the results obtained in detail. The method developed and documented here is a practical and useful approach to analysing/visualising open-ended comment data that could be applied by others with similar comment data sets.

The e-health literacy framework: A conceptual framework for characterizing e-health users and their interaction with e-health systems

In current e-health research and development there is a need for a broader understanding of the capabilities and resources required for individuals to use and benefit from e-health services, i.e. their e-health literacy. The aim of
this study was to develop a new conceptualisation of e-health literacy with consideration of the experiences of a wide range of stakeholders and in alignment with current technologies. Concept mapping was used to generate a comprehensive and grounded model of e-health literacy. Concept mapping workshop participants included patients, health professionals and medical informatics experts. Eight workshops, carried out in Denmark and United Kingdom, generated 450 statements, separated into 128 clusters. Through an inductive structured analysis, seven domains were identified: 1. Ability to process information, 2. Engagement in own health, 3. Ability to engage actively with digital services, 4. Feeling safe and in control, 5. Motivation to engage with digital services, 6. Having access to systems that work, and 7. Digital services that suit individual needs. These empirically derived domains form an e-health literacy framework (eHLF) and provide new insights into the user’s ability to understand, access and use e-health technologies. The eHLF offers a framework for evaluating an individual’s or a population’s capacity to understand, use and benefit from technology to promote and maintain their health. Such a framework also provides a potential checklist for the development and improvement of e-health services.

Learning multi-faceted activities from heterogeneous data with the product space hierarchical Dirichlet processes

Hierarchical Dirichlet processes (HDP) was originally designed and experimented for a single data channel. In this paper we enhanced its ability to model heterogeneous data using a richer structure for the base measure being a product-space. The enhanced model, called Product Space HDP (PS-HDP), can (1) simultaneously model heterogeneous data from multiple sources in a Bayesian nonparametric framework and (2) discover multilevel latent structures from data to result in different types of topics/latent structures that can be explained jointly. We experimented with the MDC dataset, a large and real-world data collected from mobile phones. Our goal was to discover identity–location– time (a.k.a who-where-when) patterns at different levels (globally for all groups and locally for each group). We provided analysis on the activities and patterns learned from our model, visualized, compared and contrasted with the ground-truth to demonstrate the merit of the proposed framework. We further quantitatively evaluated and reported its performance using standard metrics including F1-score, NMI, RI, and purity. We also compared the performance of the PS-HDP model with those of popular existing clustering methods (including K-Means, NNMF, GMM, DP-Means, and AP). Lastly, we demonstrate the ability of the model in learning activities with missing data, a common problem encountered in pervasive and ubiquitous computing applications.

Continuous validation for data analytics systems

From a future history of 2025: Continuous development is common for build/test (continuous integration) and operations (devOps). This trend continues through the lifecycle, into what we call `devUsage': continuous usage validation. In addition to ensuring systems meet user needs, organisations continuously validate their legal and ethical use. The rise of end-user programming and multi-sided platforms exacerbate validation challenges. A separate trend isthe specialisation of software engineering for technical domains, including data analytics. This domain has specific validation challenges. We must validate the accuracy of sta-tistical models, but also whether they have illegal or unethical biases. Usage needs addressed by machine learning are sometimes not speci able in the traditional sense, and statistical models are often `black boxes'. We describe future research to investigate solutions to these devUsage challenges for data analytics systems. We will adapt risk management and governance frameworks previously used for soft-ware product qualities, use social network communities for input from aligned stakeholder groups, and perform cross-validation using autonomic experimentation, cyber-physical data streams, and online discursive feedback.

Renewing assessment practices: literacy teaching and learning in digital environments

Interpretations of “literacy” and approaches to literacy pedagogy and assessment are under renewal as meaning-making and learning are increasingly situated in digitized environments. While the implications of these shifts are in part technological, they are also relational, as students are increasingly positioned as interactive with participatory roles in self-knowledge and increased responsibility for their learning. However, while shifts are occurring in understandings of literacy and approaches to literacy pedagogy, the same cannot be said for the way in which assessments of digital literacies are undertaken. There is a lack of valid, reliable, and practical assessments of new literacies to inform and help students to become better prepared for study, work, and citizenship in digital environments. This article maps five characteristics of effective formative assessment in print-based classrooms with seven affordancesin digital learning and assessment to suggest an analytical framework for examining teacher and student assessment in digital environments. Drawing on data from a research project in which a team of teachers introduced a one-to-one computing program and worked to renew their literacy assessment practices, this article discusses how each of the seven affordances are enacted in the assessment practices in a years five and six primary school classroom. The findings from this research project show that educational technologies have the potential to enable new approaches to teaching, learning, and assessment that better align with the needs of twenty-first century literacy learners. The findings alsosupport approaches to formative assessment that value print and multimodality and engage students in more flexible and differentiated ways. They can enable teachers and students to be re-positioned as designers, knowledge producers, and collaborative learners. The seven affordances provide a framework that holds rich possibilities for teacher learning and planning as prompts to support reflection on formative assessment practices, critique habitual practices, and considernew opportunities.