Developing e-assessment using the quiz activity within Moodle: empowering student learning

Using formative assessment within Moodle has been shown to encourage self-directed learning (Bromham & Oprandi, 2006). Our experience of using formative assessment quizzes as stand alone entities, as well as within Moodle lessons, has been used to introduce Moodle assessment quizzes over the past year in Level 1 and Level 2 Life Sciences courses. This experience has been distilled to inform the content of this workshop. Some advantages of incorporating assessments in the form of Moodle quizzes are that they allow for quick, reproducible and flexible assessment with a relatively small initial set-up cost, and substantial long-term staff and administration savings. One significant advantage is that staff and room pressures can be reduced as students can attempt the assessment at a time and location of their choice within a specified time period. This flexibility can help to reduce student stress associated with completion of a continuous assessment for their course. It is also a relatively simple process to account for students entitled to extra time during assessments. Providing clear instructions beforehand and at the start of the quiz ensures that students understand their responsibilities for completion of this assessment and ultimately the course. There are some disadvantages and limitations to the system as it currently exists, for example there is the perceived ability for students to “cheat” by completing the assessment as a group, accessing books and the internet. Strategies to account for these can be put in place and will be discussed in detail during the workshop. This workshop aims to take the participants through the initial set up of a quiz, highlighting the various question types and how these can be used to create a challenging assessment that can be quickly graded and prove informative for staff and course development. Reference Bromham L. & Oprandi P. (2006) Evolution online: developing active and blended learning by using a virtual learning environment in an introductory biology course. Journal of Biological Education 41 (1): 21-25

Scoping the future: a model for integrating learning environments

The Virtual Learning Environment (VLE) has become synonymous with online learning in HE.However, with the rise of Web 2.0 technologies, social networking tools and cloud computing thearchitecture of the current VLEs is increasingly anachronistic. This paper suggests an alternative tothe traditional VLE: one which allows for flexibility and adaptation to the needs of individual teachers,while remaining resilient and providing students with a seamless experience. We present a prototypeof our vision, combining our new development software and a number of existing tried and tested toolsinto a single flexible interface, and built on established pedagogical and technical standards

Supporting graduate teaching assistants in two STEM areas

No abstract available

Facilitating social collaboration in mobile cloud-based learning: a teamwork as a service (TaaS) approach

Mobile learning is an emerging trend that brings many advantages to distributed learners, enabling them to achieve collaborative learning, in which the virtual teams are usually built to engage multiple learners working together towards the same pedagogical goals in online courses. However, the socio-technical mechanisms to enhance teamwork performance are lacking. To meet this gap, we adopt the social computing to affiliate learners’ behaviors and offer them computational choices to build a better collaborative learning context. Combining the features of the cloud environment, we have identified a learning flow based on Kolb team learning experience to realize this approach. Such novel learning flow can be executed by our newly designed system, Teamwork as a Service (TaaS), in conjunction with the cloud-hosting learning management systems. Following this learning flow, learners benefit from the functions provided by cloud-based services when cooperating in a mobile environment, being organized into cloud-based teaching strategies namely “Jigsaw Classroom”, planning and publishing tasks, as well as rationalizing task allocation and mutual supervision. In particular, we model the social features related to the collaborative learning activities, and introduce a genetic algorithm approach to grouping learners into appropriate teams with two different team formation scenarios. Experimental results prove our approach is able to facilitate teamwork, while learners’ capabilities and preferences are taken into consideration. In addition, empirical evaluations have been conducted to show the improvement of collaborative learning brought by TaaS in real university level courses

The role of mobile learning on the learning environment shifting at high school in Indonesia

Abstract: This research is the result of a multi-year research since 2013–2015, which aims to determine the shifting of learning environment associated with the development of mobile technology. The rapid changing on information technology has affected the current learning strategy. The analysis of this study is a qualitative descriptive approach. The result indicates that mobile technology shifted the tendency of students to learn in a more personalised way. This situation encourages teachers to be able to choose and use technology for students learning success. The implication of this research is that the teachers, students, and schools will need to have a different role than before to adapt the changing in today’s learning environment. More focus again, learning design needs to enable cooperative learning in a mobile for the convenience of studying individually. In the implication of this research, there is a shifting of learning environment due to mobile technology

Training Primary School Teachers to use E-Learning Technologies – A Pilot Study

In this paper we present a blended learning scenario for training of students in master program “ICT in primary school” carried out in South-West University “Neofit Rilski”. Our approach is based on “face to face” lectures and seminars, SCORM compatible e-learning content with a lot of simulation demonstrations, trainings and self assessment, group problem based learning. Also we discuss the results of the course and attitude of the participants in the course towards used methods and possibilities of application of e-learning in primary schools

Facilitating collaborative learning in TaaS: a mobile cloud system for enhancing teamwork performance

Mobile cloud-based learning is a novel trend that brings many advantages to distributed learners to achieve collaborative learning, but it still lacks of mechanisms to enhance their teamwork performances. To make up that shortcoming, combining the features of cloud environment, we have identified a learning flow, a specification of workflow, based on Kolb team learning experience. This novel learning flow can be executed by our newly designed system, Teamwork as a Service (TaaS), in conjunction with cloud-hosting learning management systems, following which learners benefit from functions given by cloudbased services, separately for organizing cloud jigsaw classroom, planning and publishing tasks, rational task allocation and mutual supervision. We introduce a genetic algorithm method for grouping learners into appropriate teams, for two different scenarios of expectations for forming teams. Experimental results prove that our approach is workable to facilitate teamwork, while learners\u27 capabilities and preferences are being taken into consideration

A model for providing emotion awareness and feedback using fuzzy logic in online learning

Monitoring users’ emotive states and using that information for providing feedback and scaffolding is crucial. In the learning context, emotions can be used to increase students’ attention as well as to improve memory and reasoning. In this context, tutors should be prepared to create affective learning situations and encourage collaborative knowledge construction as well as identify those students’ feelings which hinder learning process. In this paper, we propose a novel approach to label affective behavior in educational discourse based on fuzzy logic, which enables a human or virtual tutor to capture students’ emotions, make students aware of their own emotions, assess these emotions and provide appropriate affective feedback. To that end, we propose a fuzzy classifier that provides a priori qualitative assessment and fuzzy qualifiers bound to the amounts such as few, regular and many assigned by an affective dictionary to every word. The advantage of the statistical approach is to reduce the classical pollution problem of training and analyzing the scenario using the same dataset. Our approach has been tested in a real online learning environment and proved to have a very positive influence on students’ learning performance.Peer ReviewedPostprint (author's final draft

Exploring EFL Learners’ Autonomy in Reading Comprehension: Computer-Assisted versus Conventional Contexts

This study explored the autonomy of advanced English as a Foreign Language (EFL) learners in reading comprehension through scaffolding and jigsaw in computer-assisted and conventional contexts. After being homogenized through the reading section of DIALANG proficiency test, a total of 80 female advanced EFL learners with the age range of 21 to 45 were selected as the participants of the study. They were randomly assigned to four groups: experimental group A (scaffolding in a conventional context), experimental group B (scaffolding in a computer-assisted context), experimental group C (jigsaw in a conventional context), and experimental group D (jigsaw in a computer-assisted context). Next, the autonomy in RC questionnaire, which was designed and piloted by Ebadi and Shirzad (in press), was administered as the pretest. Then, the learners in each group took part in three months (16 sessions) autonomy in reading comprehension training courses. After the treatment, the same autonomy in RC questionnaire was administered as the posttest. One-way ANCOVA was used to analyze the quantitative data. The results revealed that although both jigsaw and scaffolding approaches were successful in both conventional and computer assisted contexts from pre-test to post-test, the scaffolding method proved more effective. Moreover, both the scaffolding and jigsaw approaches were more effective in computer-assisted environment compared to conventional contexts, with the scaffolding CA approach outperforming the jigsaw CA technique. The findings’ implications for learners, teachers, and syllabus designers are discussed in both contexts