Collaborative learning from distributed places and spaces: Exploring the use of virtual collaborative tools for local and global student teamwork projects

Educating responsive graduates. Graduate competencies include reliability, communication skills and ability to work in teams. Students using Collaborative technologies adapt to a new working environment, working in teams and using collaborative technologies for learning. Collaborative Technologies were used not simply for delivery of learning but innovatively to supplement and enrich research-based learning, providing a space for active engagement and interaction with resources and team. This promotes the development of responsive ‘intellectual producers’, able to effectively communicate, collaborate and negotiate in complex work environments. Exploiting technologies. Students use ‘new’ technologies to work collaboratively, allowing them to experience the reality of distributed workplaces incorporating both flexibility and ‘real’ time responsiveness. Students are responsible and accountable for individual and group work contributions in a highly transparent and readily accessible workspace. This experience provides a model of an effective learning tool. Navigating uncertainty and complexity. Collaborative technologies allows students to develop critical thinking and reflective skills as they develop a group product. In this forum students build resilience by taking ownership and managing group work, and navigating the uncertainties and complexities of group dynamics as they constructively and professionally engage in team dialogue and learn to focus on the goal of the team task.

Ensuring student success : the role of support services in improving the quality of the student learning experience

This paper is based on the premise that universities have an obligation to provide adequate student support services, such as learning assistance (that is, assistance with academic writing and other study skills) and that in order to be effective such services must be responsive to the wider policy and social implications of student attrition and retention. The paper outlines briefly some of the factors that have influenced the development of learning assistance practices in Australia and America. This is followed by an account of experiences at one Australian metropolitan university where learning assistance service provision shifted from a decentralised, faculty-based model to a centralised model of service delivery. This shift was in response to concerns about lack of quality and consistency in a support model dependent upon faculty resources yet a follow up study identified other problems in the centralised delivery of learning assistance services. These problems, clustered under the heading contextualised versus decontextualised learning assistance, include the relevance of generic learning assistance services to students struggling with specific course related demands; the apparent tensions between challenging students and assisting students at risk of failure; and variations in the level of collaboration between learning advisers and academic staff in supporting students in the learning environment. These problems are analysed using the theoretical modelling derived from the tools made available through cultural historical activity theory and expansive visibilisation (Engeström & Miettinen, 1999).

Jisc NUS student digital experience benchmarking tool

A benchmarking tool developed by Jisc in collaboration with the National Union of Students (NUS) and the Student Engagement Partnership (TSEP). The tool is a starting point for discussions between staff and students about what is working in the digital learning environment and what they can work on together to improve it.

Enhancing student learning experience through a novel electronic coursework assessment and feedback management system

Recent National Student Surveys revealed that many U.K. university students are dissatisfied with the timeliness and usefulness of the feedback received from their tutors. Ensuring timeliness in marking often results in a reduction in the quality of feedback. In Computer Science where learning relies on practising and learning from mistakes, feedback that pin-points errors and explains means of improvement is important to achieve a good student learning experience. Though suitable use of Information and Communication Technology should alleviate this problem, existing Virtual Learning Environments and e-Assessment applications such as Blackboard/WebCT, BOSS, MarkTool and GradeMark are inadequate to support a coursework assessment process that promotes timeliness and usefulness of feedback while maintaining consistency in marking involving multiple tutors. We have developed a novel Internet application, called eCAF, for facilitating an efficient and transparent coursework assessment and feedback process. The eCAF system supports detailed marking scheme editing and enables tutors to use such schemes to pin-point errors in students' work so as to provide helpful feedback efficiently. Tutors can also highlight areas in a submitted work and associate helpful feedback that clearly links to the identified mistakes and the respective marking criteria. In light of the results obtained from a recent trial of eCAF, we discuss how the key features of eCAF may facilitate an effective and efficient coursework assessment and feedback process.

Student digital experience tracker 2016: results from the pilot project

Building on funded work on the experiences of today’s digital students http://bit.ly/jiscdigistudent (2014-2015) and feedback from stakeholders, Jisc piloted a tracker tool with 24 education providers in Higher education (HE) and Further Education (FE) and skills. The aim of the tracker is to provide a snapshot of learners’ digital experiences at a training provider, college or university so that education providers can better understand this aspect of the learning experience. This survey report highlights key findings from the tracker pilot.

Student Digital Experience Tracker Case Study: University of Westminster

Student Digital Experience Tracker Case Study: University of Westminster. A case study describing the pilot of the Jisc Student Digital Experience Tracker at the University of Westminster.

Student Digital Experience Tracker Case Study: North Lindsey College

Student Digital Experience Tracker Case Study: North Lindsey College describing their experiences of being involved in the Jisc Pilot.

Student Digital Experience Tracker Case Study: University of Northampton

Student Digital Experience Tracker Case Study: University of Northampton describing their experience of being in the Jisc pilot.

Student Digital Experience Tracker Case Study: University of Nottingham Ningbo China

Student Digital Experience Tracker Case Study: University of Nottingham Ningbo China describing their experience of being in the Jisc pilot.

Student Digital Experience Tracker Case Study: Case study: Barton Peverill Sixth Form College

Student Digital Experience Tracker Case Study: Case study: Barton Peverill Sixth Form College describing their experiences of the tracker pilot.

Student Digital Experience Tracker Case Study: Royal National College for the Blind

Student Digital Experience Tracker Case Study: Royal National College for the Blind describing their experience of the Tracker pilot.

Student Digital Experience Tracker Case Study: University of Westminster

Student Digital Experience Tracker Case Study: University of Westminster to describe their participation in the Tracker pilot.