Automatic short answer grading (ASAG) is a challenging task that aims to predict a score for a given student response. Previous works on ASAG mainly use nonneural or neural methods. However, the former depends on handcrafted features and is limited by its inflexibility and high cost, and the latter ignores global word cooccurrence in a corpus and…

The properties of a blockchain such as immutability, provenance, and peer-executed smart contracts could bring a new level of security, trust, and transparency to e-learning. In this paper, we introduce our proof-of-concept blockchain-based e-learning platform developed to increase transparency in assessments and facilitate curriculum…

In this paper we review the literature on teacher inquiry (TI) to explore the possibility that this process can equip teachers to investigate students' learning as a step towards the process of formative assessment. We draw a distinction between formative assessment and summative forms of assessment [CRELL. (2009). The transition to computer-based…

The notion of a system adapting itself to provide support for learning has always been an important issue of research for technology-enabled learning. One approach to provide adaptivity is to use social navigation approaches and techniques which involve analysing data of what was previously selected by a cluster of users or what worked for…

A novel Web-based Accountability Model (WAM) for assessment and learning in a Teacher Education Program was implemented. The objective is to explain the rationale for the WAM model, how it was implemented as the web-based Education Accountability System (EAS), and the impacts on the organization and the individual. Standards were followed in the…