A taxonomy and mapping of computer-based critiquing tools.

Critics have emerged in recent times as a specific tool feature to support users in computer-mediated tasks. These computer-supported critics provide proactive guidelines or suggestions for improvement to designs, code, and other digital artifacts. The concept of a critic has been adopted in various domains, including medical, programming, software engineering, design sketching, and others. Critics have been shown to be an effective mechanism for providing feedback to users. We propose a new critic taxonomy based on extensive review of the critic literature. The groups and elements of our critic taxonomy are presented and explained collectively with examples, including the mapping of 13 existing critic tools, predominantly for software engineering and programming education tasks to the taxonomy. We believe this critic taxonomy will assist others in identifying, categorizing, developing, and deploying computer-supported critics in a range of domains

Effective Use of Visualization in Education

With the ever increasing use of computers, visualization is used more and more. Powerpoint-fatigue is a well-known fact. There’s a general feeling that supportive technologies can be useful and effective in education, however those outcomes are often not achieved. Consequently people start to look for alternatives: movies, animations and infographics, have become common-practice. These are all powerful and valuable tools, also in education. It is very important though to ask what type of tool to use, for which kind of learning and to which purpose. In this article we attempt to derive a taxonomy which will help to make sound choices, so that visualization can be used effectively

Sharing practice, problems and solutions for institutional change

This chapter critiques the roles of different forms of representation of practice as part of an institutional change process. It discusses how these representations can be used both to design and to share learning activities at the various levels of decision-making in a university. We illustrate our arguments with empirical data gathered on change processes associated with an institution-wide change programme: the introduction of a new virtual learning environment (VLE). In particular, we describe a case study of the introduction of the VLE tools in a business course. We focus on two particular forms of representations to describe the essence of the innovation: a pedagogical pattern and a visual learning design. We argue that pedagogical patterns and learning design have emerged as parallel approaches to describing practice in recent years. Despite their very different origins, both provide complementary representations, which emphasize different aspects of the practice being described. We are attempting to combine these approaches. We briefly outline the Open University Learning Design initiative, of which this work is part, and describe its key underpinning philosophies. We believe our approach provides a vehicle for enabling a better articulation of design principles and the discussion of issues concerning the re-use of educational resources and activities

A Data Science Course for Undergraduates: Thinking with Data

Data science is an emerging interdisciplinary field that combines elements of mathematics, statistics, computer science, and knowledge in a particular application domain for the purpose of extracting meaningful information from the increasingly sophisticated array of data available in many settings. These data tend to be non-traditional, in the sense that they are often live, large, complex, and/or messy. A first course in statistics at the undergraduate level typically introduces students with a variety of techniques to analyze small, neat, and clean data sets. However, whether they pursue more formal training in statistics or not, many of these students will end up working with data that is considerably more complex, and will need facility with statistical computing techniques. More importantly, these students require a framework for thinking structurally about data. We describe an undergraduate course in a liberal arts environment that provides students with the tools necessary to apply data science. The course emphasizes modern, practical, and useful skills that cover the full data analysis spectrum, from asking an interesting question to acquiring, managing, manipulating, processing, querying, analyzing, and visualizing data, as well communicating findings in written, graphical, and oral forms.Comment: 21 pages total including supplementary material

Key competency development and students use of digital learning objects

The inclusion of key competencies in the New Zealand Curriculum (2007) has presented challenges for teachers in their efforts to gather evidence and detail student progress for reporting purposes. Research identifies the need to adopt different evaluation processes and systems, as outcomes and progression in key competencies is fundamentally different from those associated with more conventional learning. It also suggests the use of digital tools may assist in this process, but offers few suggestions as to how this might take place. This article introduces and describes a current research project utilising a thinking skills framework and screen-recording software to map students’ interaction with digital learning objects, and explore the extent to which they provide opportunities to develop thinking and relating to others competencies. It suggests the approach offers potential to make explicit for reporting purposes the nature and quality of students’ thinking, and how their interaction with others in groups, influences their ability to solve problems presented by the objects. However, it also suggests the approach may suffer from manageability challenges, and that student-led administration systems need to be developed to ensure its viability in whole class context

Classifying and evaluating assessment feedback practices

The provision of assessment feedback to students is an area which has received much interest in modern education, particularly in the Higher Education context. As current pedagogic practices strongly encourage the provision of feedback and given also the advances in digital technology, feedback mechanisms are becoming ever more sophisticated. However, considering that a great deal of effort is expended on timely, actionable and constructive feedback by tutors, the student perception of the value of the feedback given to them is not as positive as it could be. Currently a multitude of feedback practices have been developed and utilised, though with varying degrees of productiveness. Research in this area is understandably extremely broad as subject disciplines, use of technology, assessment types, methods and tools, educator preferences, student audience and peer and self-assessment capability all have a significant part to play. Given that the approaches to providing feedback are myriad, it is desirable to advance a systematic method of understanding the most constructive feedback types. This paper describes the development of a taxonomical classification which provides structure, order and frame to current popular practices that have evolved during the last decade. The taxonomy is then evaluated with the use of dimensions such as effectiveness/impact, satisfaction, adoption/engagement and quantity of feedback. The main finding of the taxonomical evaluation is the significance of developmental feed-forward guidance with which students are able to self-regulate and evaluate themselves. The paper concludes that this powerful combination should underpin further investigations into how assessment and feedback provision can be optimised for the experiential learning domain in general and to the work-based learning area in particular

The Use of Engineering Sketching and Journaling to Foster Deep Understanding of Construction: an Exploratory Study

In today’s teaching environment where students’ main focus is on getting a high mark for a class, deep understanding has taken a backseat. Being able to answer as many exam preparation questions as possible and fulfilling all the criteria on an assignment will guarantee success. “I deserve a higher mark because I worked hard in this class,” are the arguments one hears after the final marks are published. How about understanding the new material presented in the class? Engineering sketching and journaling have been hailed by experienced engineers as tools to enhance thinking and communication. The authors of the paper report about their utilization as teaching tools to foster deep understanding in a course on construction equipment and methods. While topics like equipments economics, power transmission and safety benefit from graphing in two-axis coordinate systems, understanding the best path of a backhoe bucket during a trenching operation is impossible to describe in words. Of course, understanding has several components: a) WHY do we use a backhoe excavator and not a trencher, b) WHAT are the possible three link motion paths and their related force vectors, c) HOW can the operator control the path of the bucket, and d) WHAT-IF there are utilities buried in the ground