Munkahelyi tanulást befolyásoló tényezők – humán-számítógép együttműködés vizsgálata (Influencing factors of on-the-job learning – Analysis of human-computer collaboration)

A komplex, dinamikus, tudásalapú társadalomban nemcsak a tanulás formái, hanem a tanulás helyszínei is módosulnak, s a munkahely tanulásban betöltött szerepe felértékelődött. A munkahelyi környezet is számos átalakuláson esett át, az információs és kommunikációs technológiák (IKT) fejlődésével egyidejűleg lehetővé vált többek között a távmunka, jelentősen átformálva a munkavégzés és a munkahelyi interakciók módját. A kutatók arra keresték a választ kutatásukban, hogy a szervezeten belül milyen tényezők támogatják vagy gátolják a munkahelyi tanulást. A kutatás fő üzenete, hogy a tanulás keretrendszere, az egyéni képességek és az észlelt tanulási szituáció együttesen határozza meg a munkahelyi tanulást. A kutatók eredményüket kvalitatív kutatással feltárt három esettanulmányon keresztül ismertetik. ____ In a knowledge-based society not only the forms of learning have been changed but also the places of learning. The role of workplace in the learning process is becoming more important. Meantime, there has been a substantial change in the working conditions as the development in information and communication technologies (ICTs) makes it possible to telecommute transforming remarkably the way of working and the interactions at the workplace. The central question of the research is which intra-organizational factors support or hinder onthe- job learning. The main message of the research is that the learning framework, the individual cognitive competences and the perceived learning situation influence collectively on-the-job learning. Authors present the results of the qualitative research though three case studies.

The development, application, and implications of a strategy for reflective learning from experience

The problem on which this study focused was individuals' reduced capacity to respond to change and to engage in innovative learning when their reflective learning skills are limited. In this study, the preceding problem was addressed by two primary questions: To what degree can mastery of a strategy for reflective learning be facilitated as a part of an academic curriculum for professional practitioners? What impact will mastery of this strategy have on the learning style and adaptive flexibility of adult learners? The focus of the study was a direct application of human resource development technology in the professional preparation of teachers. The background of the problem in light of changing global paradigms and educational action orientations was outlined and a review of the literature was provided. Roots of thought for two key concepts (i.e., learning to learn from experience and meaningful reflection in learning) were traced. Reflective perspectives from the work of eight researchers were compared. A meta-model of learning from experience drawn from the literature served as a conceptual framework for the study. A strategy for reflective learning developed from this meta-model was taught to 109 teachers-in-training at Florida International University in Miami, Florida. Kolb's Adaptive Style Inventory and Learning Style Inventory were administered to the treatment group and to two control groups taught by the same professor. Three research questions and fourteen hypotheses guided data analysis. Qualitative review of 1565 personal documents generated by the treatment group indicated that 77 students demonstrated "double-loop" learning, going beyond previously established limits to perception, understanding, or action. The mean score for depth of reflection indicated "single-loop" learning with "reflection-in-action" present. The change in the mean score for depth of reflection from the beginning to end of the study was statistically significant (p $<$.05). On quantitative measures of adaptive flexibility and learning style, with two exceptions, there were no significant differences noted between treatment and control groups on pre-test to post-test differences and on post-test mean scores adjusted for pre-test responses and demographic variables. Conclusions were drawn regarding treatment, instrumentation, and application of the strategy and the meta-model. Implications of the strategy and the meta-model for research, for education, for human resource development, for professional practice, and for personal growth were suggested. Qualitative training materials and Kolb's instruments were provided in the appendices.

Instructional change through collaboration and reflection

The purpose of this study was to investigate the effectiveness of the Facilitator-Collaborative-Reflective Model, a strategic plan for changing teachers' practices and beliefs, on a selected group of middle school teachers. This model of staff development training was based on Corey's (1953) Cooperative-Action-Research Model and Anders and Richardson (1994) Collaborative-Reflective Model. It supports the notion that earning a teachers' commitment to change by focusing on collaboration, reflection and the normative-re-educative process aids in altering teachers' beliefs and practices especially crucial to the change process. The year-long training provided for reflection, inquiry, and learning that was useful to teachers as they pursued their goals with their students. The lead teacher, as a change agent and transformational leader, assisted in this commitment to change by improving the teachers' self-concepts as they slowly changed. The collaborative and receptive environment of the staff development fostered acceptance and stimulation of ideas.^ Given the collaborative nature of the change process, qualitative research methods were used in the investigation. The research process was based on Stufflebeam's Context, Input, Process and Product (CIPP) Evaluation Model (Madaus, Scriven & Stufflebeam, 1983). This allowed for all three factors of the staff development model to be evaluated. The case studies and focus group were effective in discerning any actual change in practices or beliefs.^ The findings of the qualitative evaluation, consisting of a baseline survey, case studies, questionnaire and modified focus group interviews, concluded that all of the teachers were strongly influenced by the intervention model which was the subject of this study. From this evaluation, three distinct indicators were looked at to determine if any change in the teachers' practices and beliefs emerged: (1) change in practice and belief, (2) reflective feedback and (3) collaborative reflection. These indicators were common throughout the teacher responses thus substantiating the infusion of the Facilitator-Collaborative-Reflective Model at the school level for effective staff development. ^

Making the grade: The perceived impact of Florida's A+ Plan on the learning environment of one elementary school

The purpose of this study was to ascertain the perceptions of educators at one elementary school regarding the changes in the teaching and learning environment and their related effects following the implementation of Florida's A+ high-stakes accountability system. This study also assessed whether these changes were identified by participants as meaningful and enduring, in terms of the definition by Lieberman and Miller (1999). Twenty-one educators, including 17 teachers and four administrators, at Blue Ribbon Elementary school were interviewed. Data were inductively coded and categorized into four major themes: (a) teaching and learning environment consistency, (b) changes in the teaching and learning environment since the implementation of A+, (c) effects of the changes, and (d) significant and enduring change. Findings fell into three categories (a) identified changes since A+ implementation, (b) effects of changes, and (c) what participants believed was significant and long term change, which included those characteristics of the school that had been identified as consistent in the teaching and learning environment. Statements of the participants explained their perceptions about what instructional decisions where made in response to the A+ Plan including the modification of curriculum, the addition or omission of subject matter taught, and the positive or negative impact these decisions had on the teaching and learning environment. It was found that study participants felt all changes and their effects were a direct result of the A+ Plan and viewed many of the changes as being neither significant nor long term Analysis of the educators' perceptions of the changes they experienced revealed the overall feeling that the changes were not indicative of what was necessary to make a school successful. For the participants, the changes lacked the characteristics that they had described as vital in what constituted success. This led to the conclusion that, by Lieberman and Miller's definition, the majority of changes and effects that were implemented at the school as a result of the mandated A+ Plan, were not meaningful and enduring for effective school reform. ^

Community college adjunct policies and practices: Incumbents' perspectives and congruence with learning organization tenets

The primary research question was: What is the nature and degree of alignment between the tenets of learning organizations and the policies and practices of a community college concerning adjunct instructors? I investigated the employment experiences of 8 adjunct instructors at a large community college in the Southeastern U.S. to (a) describe and explain the perspectives of the adjuncts, (b) describe and explain my own adjunct employment experience at the same college, (c) determine how the adjunct policies and practices collectively encountered were congruent with or at variance with the tenets of learning organizations, and (d) to use this framework to support recommendations that may help the college achieve more favorable alignment with these tenets. ^ Data on perceived adjunct policies and practices were reduced into 11 categories and, using matrices, were compared with 5 major categories of learning organization tenets. The 5 categories of tenets were: (a) inputs, (b) information flow/communication, (c) employee inclusion/value, (d) teamwork, and (e) facilitation of change. The 11 categories of the college's policies and practices were (a) becoming an adjunct, (b) full-time employment aspirations, (c) salary, (d) benefits, (e) job security and predictability, (f) job satisfaction, (g) respect, (h) support services, (i) professional development, (j) institutional inclusion, and (k) future role of adjuncts. The reflective journal component relied on a 5-year (1995–2000) personal and professional journal maintained by me during employment with the same college as the participants. ^ Findings indicate that the college's adjunct policies and practices were most incongruent with 25 of the 70 learning organization tenets. These incongruencies spanned the 5 categories, although most occurred in the Employee/Inclusion/Value category. Adjunct instructors wanted inclusion, respect, value, trust, and empowerment in decision making processes that affect adjunct policies and practices of the college, but did not perceive this to be a part of the present situation. ^

Systematic Analysis of Change in Restaurant Operations

The successful management of change is a key factor in ensuring growth in the restaurant industry. The author discusses how to evaluate and act on a management change plan beginning with a total understanding and knowledge of the environment within which it operates.

Self -regulated learning: The role of a journal in the learning process for students and teachers

A fundamental goal of education is to equip students with self-regulatory capabilities that enable them to educate themselves. Self directedness not only contributes to success in formal instruction but also promotes lifelong learning (Bandura, 1997). The area of research on self-regulated learning is well grounded within the framework of psychological literature attributed to motivation, metacognition, strategy use and learning. This study explored past research and established the purpose of teaching students to self-regulate their learning and highlighted the fact that teachers are expected to assume a major role in the learning process. A student reflective writing journal activity was sustained for a period of two semesters in two fourth-grade mathematics classrooms. The reflective writing journal was analyzed in search of identifying strategies reported by students. Research questions were analyzed using descriptive statistics, frequency counts, cross-tabs and chi-square analyses. ^ Results based on student-use of the journals and teacher interviews indicated that the use of a reflective writing journal does promote self-regulated learning strategies to the extent which the student is engaged in the journaling process. Those students identified as highly self-regulated learners on the basis of their strategy use, were shown to consistently claim to learn math “as well or better than planned” on a weekly basis. Furthermore, good self-regulators were able to recognize specific strategies that helped them do well and change their strategies across time based on the planned learning objectives. The perspectives of the participating teachers were examined in order to establish the context in which the students were working. The effect of “planned change” and/or the resistance to change as established in previous research, from the teachers point of view, was also explored. The analysis of the journal data did establish a significant difference between students who utilized homework as a strategy. ^ Based on the journals and interviews, this study finds that the systematic use of metacognitive, motivational and/or learning strategies can have a positive effect on student's responsiveness to their learning environment. Furthermore, it reflects that teaching students “how to learn” can be a vital part of the effectiveness of any curriculum. ^

Learning Data-Driven Models of Non-Verbal Behaviors for Building Rapport Using an Intelligent Virtual Agent

There is a growing societal need to address the increasing prevalence of behavioral health issues, such as obesity, alcohol or drug use, and general lack of treatment adherence for a variety of health problems. The statistics, worldwide and in the USA, are daunting. Excessive alcohol use is the third leading preventable cause of death in the United States (with 79,000 deaths annually), and is responsible for a wide range of health and social problems. On the positive side though, these behavioral health issues (and associated possible diseases) can often be prevented with relatively simple lifestyle changes, such as losing weight with a diet and/or physical exercise, or learning how to reduce alcohol consumption. Medicine has therefore started to move toward finding ways of preventively promoting wellness, rather than solely treating already established illness. Evidence-based patient-centered Brief Motivational Interviewing (BMI) interven- tions have been found particularly effective in helping people find intrinsic motivation to change problem behaviors after short counseling sessions, and to maintain healthy lifestyles over the long-term. Lack of locally available personnel well-trained in BMI, however, often limits access to successful interventions for people in need. To fill this accessibility gap, Computer-Based Interventions (CBIs) have started to emerge. Success of the CBIs, however, critically relies on insuring engagement and retention of CBI users so that they remain motivated to use these systems and come back to use them over the long term as necessary. Because of their text-only interfaces, current CBIs can therefore only express limited empathy and rapport, which are the most important factors of health interventions. Fortunately, in the last decade, computer science research has progressed in the design of simulated human characters with anthropomorphic communicative abilities. Virtual characters interact using humans’ innate communication modalities, such as facial expressions, body language, speech, and natural language understanding. By advancing research in Artificial Intelligence (AI), we can improve the ability of artificial agents to help us solve CBI problems. To facilitate successful communication and social interaction between artificial agents and human partners, it is essential that aspects of human social behavior, especially empathy and rapport, be considered when designing human-computer interfaces. Hence, the goal of the present dissertation is to provide a computational model of rapport to enhance an artificial agent’s social behavior, and to provide an experimental tool for the psychological theories shaping the model. Parts of this thesis were already published in [LYL+12, AYL12, AL13, ALYR13, LAYR13, YALR13, ALY14].

Making the grade : the perceived impact on Florida's A+ plan on the learning environment of one elementary school

The purpose of this study was to ascertain the perceptions of educators at one elementary school regarding the changes in the teaching and learning environment and their related effects following the implementation of Florida's A+ high-stakes accountability system. This study also assessed whether these changes were identified by participants as meaningful and enduring, in terms of the definition by Lieberman and Miller (1999). Twenty-one educators, including 17 teachers and four administrators, at Blue Ribbon Elementary school were interviewed. Data were inductively coded and categorized into four major themes: (a) teaching and learning environment consistency, (b) changes in the teaching and learning environment since the implementation of A+, (c) effects of the changes, and (d) significant and enduring change. Findings fell into three categories (a) identified changes since A+ implementation, (b) effects of changes, and (c) what participants believed was significant and long term change, which included those characteristics of the school that had been identified as consistent in the teaching and learning environment. Statements of the participants explained their perceptions about what instructional decisions where made in response to the A+ Plan including the modification of curriculum, the addition or omission of subject matter taught, and the positive or negative impact these decisions had on the teaching and learning environment. It was found that study participants felt all changes and their effects were a direct result of the A+ Plan and viewed many of the changes as being neither significant nor long term Analysis of the educators' perceptions of the changes they experienced revealed the overall feeling that the changes were not indicative of what was necessary to make a school successful. For the participants, the changes lacked the characteristics that they had described as vital in what constituted success. This led to the conclusion that, by Lieberman and Miller's definition, the majority of changes and effects that were implemented at the school as a result of the mandated A+ Plan, were not meaningful and enduring for effective school reform.

Confirmatory feedback in teacher education:an instigator of student teacher learning

This book examines the intricacies of the discourse of post-observation feedback that student teachers receive following group teaching practice. In particular, the author explores confirmatory feedback as an instigator of student teacher learning, and examines the potential links between feedback and change. The book will be of specific interest to researchers, teacher educators and other professionals involved in feedback-giving settings.

Laboratory focussed learning of core electronic engineering concepts in the first year of an honours degree programme

In common with most universities teaching electronic engineering in the UK, Aston University has seen a shift in the profile of its incoming students in recent years. The educational background of students has moved away from traditional Alevel maths and science and if anything this variation is set to increase with the introduction of engineering diplomas. Another major change to the circumstances of undergraduate students relates to the introduction of tuition fees in 1998 which has resulted in an increased likelihood of them working during term time. This may have resulted in students tending to concentrate on elements of the course that directly provide marks contributing to the degree classification. In the light of these factors a root and branch rethink of the electronic engineering degree programme structures at Aston was required. The factors taken into account during the course revision were:. Changes to the qualifications of incoming students. Changes to the background and experience of incoming students. Increase in overseas students, some with very limited practical experience. Student focus on work directly leading to marks. Modular compartmentalisation of knowledge. The need for provision of continuous feedback on performance We discuss these issues with specific reference to a 40 credit first year electronic engineering course and detail the new course structure and evaluate the effectiveness of the changes. The new approach appears to have been successful both educationally and with regards to student satisfaction. The first cohort of students from the new course will graduate in 2010 and results from student surveys relating particularly to project and design work will be presented at the conference. © 2009 K Sugden, D J Webb and R P Reeves.

Learning from Geometry

Subspaces and manifolds are two powerful models for high dimensional signals. Subspaces model linear correlation and are a good fit to signals generated by physical systems, such as frontal images of human faces and multiple sources impinging at an antenna array. Manifolds model sources that are not linearly correlated, but where signals are determined by a small number of parameters. Examples are images of human faces under different poses or expressions, and handwritten digits with varying styles. However, there will always be some degree of model mismatch between the subspace or manifold model and the true statistics of the source. This dissertation exploits subspace and manifold models as prior information in various signal processing and machine learning tasks.

A near-low-rank Gaussian mixture model measures proximity to a union of linear or affine subspaces. This simple model can effectively capture the signal distribution when each class is near a subspace. This dissertation studies how the pairwise geometry between these subspaces affects classification performance. When model mismatch is vanishingly small, the probability of misclassification is determined by the product of the sines of the principal angles between subspaces. When the model mismatch is more significant, the probability of misclassification is determined by the sum of the squares of the sines of the principal angles. Reliability of classification is derived in terms of the distribution of signal energy across principal vectors. Larger principal angles lead to smaller classification error, motivating a linear transform that optimizes principal angles. This linear transformation, termed TRAIT, also preserves some specific features in each class, being complementary to a recently developed Low Rank Transform (LRT). Moreover, when the model mismatch is more significant, TRAIT shows superior performance compared to LRT.

The manifold model enforces a constraint on the freedom of data variation. Learning features that are robust to data variation is very important, especially when the size of the training set is small. A learning machine with large numbers of parameters, e.g., deep neural network, can well describe a very complicated data distribution. However, it is also more likely to be sensitive to small perturbations of the data, and to suffer from suffer from degraded performance when generalizing to unseen (test) data.

From the perspective of complexity of function classes, such a learning machine has a huge capacity (complexity), which tends to overfit. The manifold model provides us with a way of regularizing the learning machine, so as to reduce the generalization error, therefore mitigate overfiting. Two different overfiting-preventing approaches are proposed, one from the perspective of data variation, the other from capacity/complexity control. In the first approach, the learning machine is encouraged to make decisions that vary smoothly for data points in local neighborhoods on the manifold. In the second approach, a graph adjacency matrix is derived for the manifold, and the learned features are encouraged to be aligned with the principal components of this adjacency matrix. Experimental results on benchmark datasets are demonstrated, showing an obvious advantage of the proposed approaches when the training set is small.

Stochastic optimization makes it possible to track a slowly varying subspace underlying streaming data. By approximating local neighborhoods using affine subspaces, a slowly varying manifold can be efficiently tracked as well, even with corrupted and noisy data. The more the local neighborhoods, the better the approximation, but the higher the computational complexity. A multiscale approximation scheme is proposed, where the local approximating subspaces are organized in a tree structure. Splitting and merging of the tree nodes then allows efficient control of the number of neighbourhoods. Deviation (of each datum) from the learned model is estimated, yielding a series of statistics for anomaly detection. This framework extends the classical {\em changepoint detection} technique, which only works for one dimensional signals. Simulations and experiments highlight the robustness and efficacy of the proposed approach in detecting an abrupt change in an otherwise slowly varying low-dimensional manifold.

Cooperative or collaborative learning: Is there a difference in university students’ perceptions?

The hypothesis that the same educational objective, raised as cooperative or collaborative learning in university teaching does not affect students’ perceptions of the learning model, leads this study. It analyses the reflections of two students groups of engineering that shared the same educational goals implemented through two different methodological active learning strategies: Simulation as cooperative learning strategy and Problem-based Learning as a collaborative one. The different number of participants per group (eighty-five and sixty-five, respectively) as well as the use of two active learning strategies, either collaborative or cooperative, did not show differences in the results from a qualitative perspective.

Bespoke Radiology e-Learning

Introduction: Foundation doctors are expected to assess and interpret plain x-ray studies of the chest/abdomen before a definitive report is issued by senior staff. The Royal College of Radiologists have published guidelines (RCR curriculum) on the scope of plain film findings medical students should be familiar with.1 Studies have shown that the x-ray interpretation without feedback does not significantly improve diagnostic ability. 2 Queen’s University, Belfast Trust Radiology and Experior Medical developed an online system to assess individual student ability to interpret X-ray findings. Over a series of assessments each student’s profile is built up, identifying strengths and weakness. The system can then create bespoke individual assessments re-evaluating previously identified weak areas and quantifying interpretative skill improvement. Aim: To determine how readily an online system is adopted by senior medical students, investigating if increasing exposure to x-ray interpretation combined with cyclical formative feedback enhances performance. Methods: The system was offered to all 270 final year medical students as an online resource. The system comprised a series of 20 weekly 30 minute assessments, containing normal and abnormal x-rays within the RCR curriculum. After each assessment students were given formative feedback, including their own result, annotated answers, peer group comparison and a breakdown of areas of strength and weakness. Focus groups of 4-5 students addressed student perspectives of the system, including ease of use, image resolution, system performance across different operating platforms, perceived value of formative feedback loops, breakdown of performance and the value of bespoke personalised assessments. Research Ethics Approval was granted for the study. Data analysis was via two-sided one-sample t-test; initial minimal recruitment was estimated as 60 students, to detect a mean 10% change in performance, with a standard deviation of 20%. Results and Discussion: Over 80% (n = XXX/270) of the student cohort engaged with the study. Student baseline average was 39%, increasing to 62% by the exit test. The steadily sustained improvement (57% relative performance in interpretative diagnostic accuracy) was despite increasing test difficulty. Student feedback via focus groups was universally positive throughout the examined domains. Conclusion: The online resource proved to be valuable, with high levels of student engagement, improving performance despite increasingly difficulty testing and positive learner experience with the system. References: 1. Undergraduate Radiology Curriculum, The Royal College of Ra, April 2012. Ref No. BFCR(12)4 The Royal College of Radiologists, April 2012 2. I Satia, S Bashagha, A Bibi, R Ahmed, S Mellor, F Zaman. Assessing the accuracy and certainty in interpretating chest x-rays in the medical division. Clin Med August 2013 Vol.13 no. 4 349-352

The Use of a Computer-Based Simulation Game (CSG) for Learning and Teaching

Introduction A computer-based simulation game (CSG) was used for the first time in a final-year undergraduate module. A change management simulation game was used in the seminar classes as a formative exercise that was linked to parts of the students’ summative assessment. The module evaluation suggests that most students learned from using the CSG.