Much has been written about the way in which e-learning has changed learning in higher education without transforming it to meet the changing needs and expectations of stakeholders in the sector. The beliefs and practices of teachers in the sector have remained largely unchanged despite the widespread adoption of e-learning tools. This study used a phenomenographic approach to identify the conceptual frameworks of practitioners. Among the indicators used to define these frameworks were practitioners’ levels of engagement with e-learning tools and the broader concept of technology-enhanced learning. The study identified limited evidence of the transformation of beliefs and practices in the sector to a more student-centred paradigm, despite the adoption of the language associated with such a change by the majority of practitioners interviewed. It showed how many e-learning initiatives had led to the internalization of such change with the adoption of exemplars and best practice. Examples of externalization (where exemplars were adapted to context and the modifications passed to others) were much more limited. Cases were identified where practitioners had used e-learning as a means of reinforcing the existing, teacher-centred paradigm. The majority of practitioners, however, were identified as being in a ‘transitionary’ state, adopting the language and some of the practices of a ‘transformed’ state. This study, therefore, considered factors influencing the adoption of a more student-centred paradigm through the use of e-learning. Using Activity Theory, the barriers to such change were explained and lessons for future approaches to professional development derived. Through an exploration of collaborative technology-enhanced learning initiatives, the nature of learning communities that should be at the heart of such transformation were identified. This study should, therefore, be of value to practitioners wishing to innovate, those who design and deliver the professional development programmes to support them and those managing such change in HE.

Being exposed to serious games showed that some simulations widely vary in quality and learning outcome. In order to get to the bottom of best practices a detailed review of business management simulation literature was conducted. Additionally, an industry analysis was performed, by interviewing 17 simulation companies, testing a range of full and demo games, and conducting secondary research. The findings from both research efforts were then collated and cross-referenced against each other in order to determine three things: firstly, the practices and features used by simulation companies that have not yet been the subject of academic research; secondly, the most effective features, elements and inclusions within simulations that best assist in the achievement of learning outcomes and enhancement the user experience; and finally, 'best practices' in teaching a business management course in a university or company with the assistance of a simulation. Identified gaps in the current research were found to include the effectiveness of avatars, transparent pricing and the benefits of competing the simulation against other teams as opposed to the computer. In relation to the second and third objectives of the research, the findings were used to compile a business plan, with detailed recommendations for companies looking to develop a new simulation, and for instructors implementing and coordinating the use of a simulation in a business management context. (author's abstract)

<p>U radu je prikazan model podataka koji omogućava<br />predviđanje uspje&scaron;nosti studiranja na visoko&scaron;kolskim<br />ustanovama, kao i analizu vi&scaron;e tehnika predikcije.<br />Pored toga, prikazuje i prototipsku implementaciju<br />informacionog sistema za upravljanje obrazovnim<br />procesom koji omogućava kori&scaron;ćenje predikcije u<br />realnim informacionim sistemima.</p> / <p>The paper presents a data model that facilitates<br />prediction of students success in studying, as well as<br />a review of prediction techniques. It also presents a<br />prototype implementation of a learning management<br />information system that enables the use of prediction<br />of success in studying and represents a real-world<br />use case.</p>

The development of a nurse identity is known to be a gradual process which takes place by students through social interaction in both academic and clinical settings. It is a crucial element in retaining students within the nursing profession and enabling them to perform the nurse role competently and effectively. Constructing a nurse identity is a complex and individual process, but, it is recognised that it will contain universal traits such as caring and compassion. Failure to absorb a nurse identity by students is not well documented, but, it is thought to contribute towards the number of recruits who leave the profession prior to or on qualifying. This phenomenological study examines the ways in which student nurses construct and adopt a nurse identity whilst studying for the theoretical component of their nursing course. The lived experience of both traditional, classroom based student nurses and those studying by electronic learning (e-learning) is explored through in-depth interviews and participant observations. Elearning is being introduced into nurse education in place of traditional methods of teaching and the research examines the impact of this mode of learning on professional socialisation to the identity of a nurse. The study gathered data from in-depth interviews with six student nurses studying by traditional methods and, also, from six student nurses studying by e-learning; all students were in the third year of a Diploma in Nursing (Adult Branch) course (comparisons were made between the findings from the two groups of students, in order to discover if nurse identities and the ways in which these are formulated differ between traditional students and those studying by e-learning). Findings from the data disclosed similarities and differences between the two groups of students, however, definitive conclusions as to the effects of e-learning on the construction and adoption of nurse identities could not be made. The findings did disclose strengths and weaknesses in both types of education, and the overall conclusion was that e-learning could be a success in student nurse education only if it is introduced with sufficient funding and on a solid foundation of research and development, by nurse educators who are knowledgeable in this style of pedagogy.

Engineering Education experiences turbulent changes, both from government pressures and from industry demands on readdressing the requirements of graduate capability. Despite vast amounts of engineering literature discussing ‘change’ within the field, engineering curricula still maintains its predominant pedagogic model of dissemination to students as it did in previous decades. Technology Enhanced Learning in education has created new and flexible options in the delivery and assessment of teaching and learning, but uptake is limited and approached with caution within Engineering Education. This mixed methods research introduces an inclusive and innovative approach to Engineering Education assessment techniques utilising an integrated blended learning strategy to the implementation of Technology Enhanced Learning within engineering curriculums. The research explores and assesses the effectiveness of Technology Enhanced Learning and educational pedagogies within Engineering Education frameworks to enhance and develop student learning, digital literacy and employability. Preliminary research positioned the research, utilising observation and interview techniques to baseline current pedagogic practices in undergraduate Engineering Education against current literature. An alternative method of video assessment was implemented and embedded following a two year cycle of action research within a cohort of two undergraduate engineering modules. A prototype ‘toolkit’ was created using Xerte Online Toolkits (XOT) to facilitate student learning and support for the assessment. Additional techniques inside the cycles gained further qualitative and quantitative data via a survey and focus groups. Student learning and assessment results showed significant improvement following the introduction of this approach and validated the transferability of this technique into other educational disciplines. An industry based survey validated chosen research methods and provided a comparison of viewpoints on key issues surrounding Engineering Education against existing stakeholders. The research introduces a new innovative approach to Engineering Education utilising Technology Enhanced Learning, validated through positive industry feedback and student academic achievement and satisfaction. Significant improvements on student employability and engineering ‘soft skills’ are evidenced.

Although a mandate was given in an urban southern university for instructors in the Adult Professional Studies Program (APS) to begin transitioning their face-to-face courses to online curricula, few courses have been converted. The purpose of this case study was to determine APS instructors' perceptions of developing and transitioning face-to-face courses to an online format. Lewin's change theory and force field analysis provided the conceptual framework for this study. The research questions concerned the faculty's perceptions of developing and transitioning courses to an online format. A purposeful sample of fulltime and adjunct faculty, with different levels of expertise in online courses within the APS department was invited to participate. Semistructured interview data from these faculty (n = 9) - were analyzed manually using color coding to determine the needs and barriers for instructors transitioning their face-to-face courses to online curricula. According to the study findings, the APS faculty saw value in online education, but perceived many obstacles that keep them from fully investing into this type of instruction. 10 themes were identified through data analysis in this study. These themes were used to create a 3-day professional development (PD) project for faculty members in the APS to assist educators in creating appropriate innovations for teaching and learning in an online setting. Creating a comprehensive, 3-day PD training for APS staff and faculty that address barriers noted in the findings of the study and diverse learning opportunities created learning opportunities for nontraditional students in the APS.

Technology evolution throughout history has initiated many changes in different aspects of human activities. Learning, as one of the most representative human activities has also been subject to these changes. Nowadays, the use of information and communication technologies has considerably changed the way people learn and collaborate. These changes have been accompanied by new approaches to support learning using a wide range of mobile devices, software applications and different communication platforms. In these technology rich landscapes, the notion of context emerges as a crucial component to be considered for the design and technical implementation of technology-enhanced learning environments. The main research question investigated in this thesis relates to the use of different context instantiations for the design and development of innovative technology-enhanced learning environments.This thesis is a collection of eight papers that describe the results of the research efforts conducted in four different experimental cases during a period of four years. These experiments have been designed and developed as part of two research projects. The theoretical foundations that guided this research were based on the view of context and interaction from a learning theory, human-computer-interaction perspective, as well as dimensional data modelling techniques. Different methodological approaches, (such as action-oriented, design-based research and case study) have been used while investigating the main research question. The main contribution that this thesis offers to the research community is a conceptual context model accompanied by a dimensional data model that can be used as a design tool for embedding learning activities in context. In the four trials that encompass my empirical work, the conceptual model proposed in the thesis guided the design and technical development of the different novel technology-enhanced learning activities. The outcomes of these efforts provided various insights regarding the use of different context instantiations that have implications for the design and development of these environments. This thesis advocates that computational context attributes should be used as metadata descriptors that would potentially promote personalization and interoperability of digital learning content. Content personalization offers opportunities for personalized learning that increases learners’ engagement and eventually could lead to better learning results. Furthermore, the research and industrial community could use the context model developed in this thesis as a guiding tool to promote the creation of new ways to personalize services and technologies.

The design of intelligent learning environments requires significant up-front resources and expertise. These environments generally maintain complex and comprehensive knowledge bases describing pedagogical approaches, learner traits, and content models. This has limited the influence of these technologies in higher education, which instead largely uses learning content management systems in order to deliver non-classroom instruction to learners. This dissertation puts forth a data-assisted approach to embedding intelligence within learning environments. In this approach, instructional experts are provided with summaries of the activities of learners who interact with technology enhanced learning tools. These experts, which may include instructors, instructional designers, educational technologists, and others, use this data to gain insight into the activities of their learners. These insights lead experts to form instructional interventions which can be used to enhance the learning experience. The novel aspect of this approach is that the actions of the intelligent learning environment are now not just those of the learners and software constructs, but also those of the educational experts who may be supporting the learning process. The kinds of insights and interventions that come from application of the data-assisted approach vary with the domain being taught, the epistemology and pedagogical techniques being employed, and the particulars of the cohort being instructed. In this dissertation, three investigations using the data-assisted approach are described. The first of these demonstrates the effects of making available to instructors novel sociogram-based visualizations of online asynchronous discourse. By making instructors aware of the discussion habits of both themselves and learners, the instructors are better able to measure the effect of their teaching practice. This enables them to change their activities in response to the social networks that form between their learners, allowing them to react to deficiencies in the learning environment. Through these visualizations it is demonstrated that instructors can effectively change their pedagogy based on seeing data of their students’ interactions. The second investigation described in this dissertation is the application of unsupervised machine learning to the viewing habits of learners using lecture capture facilities. By clustering learners into groups based on behaviour and correlating groups with academic outcome, a model of positive learning activity can be described. This is particularly useful for instructional designers who are evaluating the role of learning technologies in programs as it contextualizes how technologies enable success in learners. Through this investigation it is demonstrated that the viewership data of learners can be used to assist designers in building higher level models of learning that can be used for evaluating the use of specific tools in blended learning situations. Finally, the results of applying supervised machine learning to the indexing of lecture video is described. Usage data collected from software is increasingly being used by software engineers to make technologies that are more customizable and adaptable. In this dissertation, it is demonstrated that supervised machine learning can provide human-like indexing of lecture videos that is more accurate than current techniques. Further, these indices can be customized for groups of learners, increasing the level of personalization in the learning environment. This investigation demonstrates that the data-assisted approach can also be used by application developers who are building software features for personalization into intelligent learning environments. Through this work, it is shown that a data-assisted approach to supporting instructional interventions in technology enhanced learning environments is both possible and can positively impact the teaching and learning process. By making available to instructional experts the online activities of learners, experts can better understand and react to patterns of use that develop, making for a more effective and personalized learning environment. This approach differs from traditional methods of building intelligent learning environments, which apply learning theories a priori to instructional design, and do not leverage the in situ data collected about learners.

<p>Learning materials have multiple forms, such as books, overhead slides, computer files, blackboard notes by teachers, narration to the notes, video/audio tapes etc. Since the forms are highly inhomogeneous, it becomes difficult to collect and practically use them by a particular learner for individual study at home. Such multiple media are also expensive in management, since human resources are needed to keep the material repositories in order. One solution of the problem lies in centralized active digital repositories. Such repositories aim to simplify the learner’s work and boost learning efficiency. With introduction of interactivity and live communication tools such repositories become learning platforms exceeding the functionality of “passive” digital libraries. Such learning platforms could be easily used both for on-campus and distance education.</p><p>This dissertation presents an evaluation of a digital repository of interactive multimedia content in the field of Heat and Power Technology: Computerized Educational Platform (CompEdu HPT). The platform evaluation consisted of integration of the tool into the university curriculum and then collection of feedback from students and teachers. The evaluation concerned usefulness of the platform for learning, aspects of instruction improvement, collecting observations about how the platform is used by students, as well as their opinions about the IT application direction chosen. The methods included: online feedback forms, questionnaires, interviews, discussions and observations.</p><p>The evaluation demonstrated that the main strength of the platform is the integration of learning materials in one portable package. The students appreciated structured and logically arranged information that was available for easy access. Coverage of a broad area of knowledge related to heat and power technology was also pointed out as an advantage with reflection on the very low price of acquisition of the materials. The most popular elements of the content in use included: simulations, lecture notes, the print function, the glossary, and calculation exercises. A major part of the students declared the high value of CompEdu in facilitating home study. Nevertheless, not all the students had a positive impression: around one-fifth of them did not find the platform useful and expressed preference for more traditional learning media. The majority of the negative opinions concerned content quality, which directly related to weaknesses of the content production and review process.</p><p>The evaluation emphasized the importance of material quality and amount as the key issue for a good learning platform with relatively smaller importance of presentation forms. The evaluation also considered aspects of functionality from the user point of view. Differentiation between popularity of simulations showed that simulations used by teachers during lectures have higher educational value than those for individual use only. The popularity of the printing option indicated a need for adaptation of digital materials for paper publishing. The general conclusion for practical use of multimedia tools in education was that high usability and simplicity of information access should be the focus point of any chosen approach in the direction.</p><p>The CompEdu evaluation suggested that after thorough content review and addition of an efficient search mechanism the platform can successfully deliver rich learning content. The platform gave an extensive real-case illustration of how multimedia can be used in educational practice. Due to the evaluation, the CompEdu e-learning group has collected rich experience and know-how in the field of active knowledge repositories. The experience will be used for development of a more sophisticated learning platform working in the global Internet environment with major focus on information accessibility by easy search.</p>

In traditional models of university education, students gather in classrooms, listen to instructors lecture on specific topics, and take notes with limited time for interaction. Students are then expected to spend additional time outside of the classroom reading textbooks, completing assignments, and preparing for tests. Instructors are viewed as experts providing information to students in much the same manner that they learned the content as students in college. The advent of the World Wide Web in 1991 allowed a dramatic change in the way students and faculty gather information, conduct research, and publish ideas. Internet-based technologies can transform traditional classroom experiences. Student participation can be increased by promoting group and collaborative learning online, and by the use of tools such as e-mail, discussion boards, and synchronous chat sessions. The objectives of this study were to 1) determine which factors affected faculty members’ use of technology integration in their instruction, and 2) determine what effect the integration of technology had on the role and teaching styles of faculty members. The study employed a mixed-methods research methodology. A survey instrument was developed and sent to faculty members at the five largest, public research institutions. The level of technology integration was calculated on a scale ranging from nonuse to full integration. The scale included practices such as providing online discussion areas, allowing/requiring students to use the Internet for assignments, and using anonymous online surveys to gather student feedback. Faculty members were then asked to elaborate on their answers. After the quantitative and qualitative survey results were analyzed, a select group of faculty members at one campus were interviewed to verify or dispute the findings. The survey results revealed the factors that significantly contributed to the overall level of technology integration were: instructional resources, professional and personal computer use, level of class, gender, title, and type of online teaching experience. One of the most significant factors was the level of instructional resources. Instructors with a facilitative teaching style were most likely to integrate technology into their instruction. This information can inform institutions when creating faculty development programs and budgeting limited resources. / text