Personalized Approaches to Supporting the Learning Needs of Lifelong Professional Learners

Advanced learning technology research has begun to take on a complex challenge: supporting lifelong learning. Professional learning is an essential subset of lifelong learning that is more tractable than the full lifelong learning challenge. Professionals do not always have access to professional teachers to provide input to the problems they encounter, so they rely on their peers in an online learning community (OLC) to help meet their learning needs. Supporting professional learners within an OLC is a difficult problem as the learning needs of each learner continuously evolve, often in different ways from other learners. Hence, there is a need to provide personalized support to learners adapted to their individual learning needs. This thesis explores personalized approaches for detecting the unperceived learning needs and meeting the expressed learning needs of learners in an OLC. The experimental test bed for this research is Stack Overflow (SO), an OLC used by software professionals. To date, seven experiments have been carried out mining SO peer-peer interaction data. Knowing that question-answerers play a huge role in meeting the learning needs of the question-askers, the first experiment aimed to detect the learning needs of the answerers. Results from experiment 1 show that reputable answerers themselves demonstrate unperceived learning needs as revealed by a decline in quality answers in SO. Of course, a decline in quality answers could impact the help-seeking experience of question-askers; hence experiment 2 sought to understand the effects of the help-seeking experience of question-askers on their enthusiasm to continuously participate within the OLC. As expected, negative help-seeking experiences of question-askers had a large impact on their propensity to seek further help within the OLC. To improve the help-seeking experience of question-askers, it is important to proactively detect the learning needs of the question-answerers before they provide poor quality answers. Thus, in experiment 3 the goal was to predict whether a question-answerer would give a poor answer to a question based on their past peer-peer interactions. Under various assumptions, accuracies ranging from 84.57% to 94.54% were achieved. Next, experiment 4 attempted to detect the unperceived learning needs of question-askers even before they are aware of such needs. Using information about a learner’s interactions over a 5-month period, a prediction was made as to what they would be asking about during the next month, achieving recall and precision values of 0.93 and 0.81. Knowing the learning needs of question-askers early creates an opportunity to predict prospective answerers who could provide timely and quality answers to their question. The goal of experiment 5 was thus to predict the actual answerers for questions based only on information known at the time the question was asked. The iv success rate was at best 63.15%, which would only be marginally useful to inform a real-life peer recommender system. Thus, experiment 6 explored new measures in predicting the answerers, boosting the success rate to 89.64%. Of course, a peer recommender system would be deemed to be especially useful if it can provide prompt interventions, especially to get answers to questions that would otherwise not be answered quickly. To this end, experiment 7 attempted to predict the question-askers whose questions would be answered late or even remain unanswered, and a success rate of 68.4% was achieved. Results from these experiments suggest that modelling the activities of learners in an OLC is key in providing support to them to meet their learning needs. Perhaps, the most important lesson learned in this research is that lightweight approaches can be developed to help meet the evolving learning needs of professionals, even as knowledge changes within a profession. Metrics based on the experiments above are exactly such lightweight methodologies and could be the basis for useful tools to support professional learners

A Design Model for Lifelong Learning Networks

The provision of lifelong learning facilities is considered to be a major new direction for higher and distance teaching educational institutes catering for the demands of industry and society. ICT networks will in future support seamless, ubiquitous access to lifelong learning facilities at home, at work, in schools and universities. This implies the development of new ways of organizing learning delivery that goes beyond course and programme-centric models. It envisions a learner-centred, learner-controlled model of distributed lifelong learning. We present a conceptual model for the support of lifelong learning which is based on notions from self-organization theory, learning communities, agent technologies and learning technology specifications such as IMS Learning Design. An exploratory implementation has been developed and used in practice. We reflect on the findings and future directions

Indicators of Constructivist Principles in Internet-Based Courses

The purpose of this study was to provide greater assurance of quality in Internet-based courses. Current literature supports the assumption that the inclusion of constructivist principles in online courses adds to course quality. Therefore, identifying indicators of constructivist learning theory is important to the development of online courses. A peer-nominated panel of national experts in constructivism and instructional technology participated in a 3-round Delphi web survey. Through the iterative process, panelists assigned a mean rating of importance of 4.0 or higher (on a 5-point Likert scale) to 40 indicators of constructivist principles in online courses. Three implications for course design were identified; (1) one size (of learning model) does not fit all, (2) the six identified categories and their related indicators provide a framework for course development, and (3) indicators of constructivist principles transcend technology

Indicators of Constructivist Principles in Internet-Based Courses

The purpose of this study was to provide greater assurance of quality in Internet-based courses. Current literature supports the assumption that the inclusion of constructivist principles in online courses adds to course quality. Therefore, identifying indicators of constructivist learning theory is important to the development of online courses. A peer-nominated panel of national experts in constructivism and instructional technology participated in a 3-round Delphi web survey. Through the iterative process, panelists assigned a mean rating of importance of 4.0 or higher (on a 5-point Likert scale) to 40 indicators of constructivist principles in online courses. Three implications for course design were identified; (1) one size (of learning model) does not fit all, (2) the six identified categories and their related indicators provide a framework for course development, and (3) indicators of constructivist principles transcend technology

Advances in Technology Enhanced Learning

‘Advances in Technology Enhanced Learning’ presents a range of research projects which aim to explore how to make engagement in learning (and teaching) more passionate. This interactive and experimental resource discusses innovations which pave the way to open collaboration at scale. The book introduces methodological and technological breakthroughs via twelve chapters to learners, instructors, and decision-makers in schools, universities, and workplaces. The Open University's Knowledge Media Institute and the EU TELMap project have brought together the luminaries from the European research area to showcase their vision of the future of learning with technology via their recent research project work. The projects discussed range widely over the Technology Enhanced Learning area from: environments for responsive open learning, work-based reflection, work-based social creativity, serious games and many more

How Hospital Environmental Managers Learn Compliance: A Learning Process Model

Recent national media coverage of hospital mismanagement of hazardous materialsand waste has brought the practices of all hospitals into public scrutiny. Many people are amazed to learn that there is no national training or accreditation program for environmental management in hospitals. Hospitals are held to the same standards for hazardous materials management as are corporations in the industrial sector. Rural hospitals are particularly challenged because they have few resources. Overall, small hospitals need much improvement, but there are also examples of where individuals have done exemplary innovative work in improving environmental management. In this study I investigated the challenge rural hospitals face to improving environmental management practices by inquiring into how environmental managers in small rural hospitals in New Hampshire learned to do their job and maintain their skills. I used the constant comparison coding method from grounded theory to generate key categories and concepts that could explain the personal and systematic challenges these individuals face. Using these concepts, I developed a learning process model that demonstrates how the managers initially learned how to do their work and how they went to on to maintain their skills. In cases where individuals excelled and developed innovative practices in their organizations, I inquired into the factors that contributed to their success. The purpose of the project was to document systematic challenges and obstacles that the managers need to overcome in their work. These can be used to promote recommendations that would enhance the environmental management practices of rural hospitals nationwide. One key obstacle is that hospital management emphasizes income generation over expense shedding and environmental managers have no billing capacity. Consequently, even though improved practices can save costs, the capital needed for these changes is difficult for the managers to secure. Another key obstacle is the regulatory climate of fear under which managers work. The EPA regularly issues threats and warnings without providing managers with the assistance and advice they need to do their jobs well. These and other findings point out the need for training and assistance programs that will help managers do their jobs better