No abstract

No abstract

No abstract

This paper presents the results of integrating learning analytics into the assessment process to enhance academic integrity in the e-learning environment. The goal of this research is to evaluate the computational-based approach to academic integrity. The machine-learning based framework learns students' patterns of language use from data, providing an accessible and non-invasive validation of student identities and student-produced content. To assess the performance of the proposed approach, we conducted a series of experiments using written assignments of graduate students. The proposed method yielded a mean accuracy of 93%, exceeding the baseline of human performance that yielded a mean accuracy rate of 12%. The results suggest a promising potential for developing automated tools that promote accountability and simplify the provision of academic integrity in the e-learning environment.

Abstract-A virtual laboratory is a virtual space where students are able to carry out practical activities. This paper presents an integrated structure for a virtual laboratory consisting on nine resources divided into pedagogical, human, and technological factors. Such a structure is based on the experience gained in design and development of virtual laboratories during the past 11 years in a virtual university. The proposed structure has been applied to different virtual laboratories, and this paper presents the special case of a virtual networking laboratory (VNLab) where students can access real networking devices. The VNLab structure described in this paper has been used at the Open University of Catalonia for the Cisco Networking Academic since 2001. Its suitability has been evaluated by the students using a Web questionnaire, and its correctness for the industrial electronics field has been analyzed.Index Terms-Cisco NETLAB+, networking laboratory activities, remote laboratory, virtual laboratory, virtual learning environment (VLE), virtual networking laboratory (VNLab).