This review explores how artificial intelligence (AI henceforth) can reshape education through insights from situated learning literature. The objective was to critically examine opportunities and challenges of situated learning, and how AI could augment strengths while overcoming obstacles. A systematic review using the PRISMA method analyzed 60…

To succeed in the information age, students need to learn to communicate their understanding of complex topics effectively. This is reflected in both educational standards and standardized tests. To improve their writing ability for highly structured domains like scientific explanations, students need feedback that accurately reflects the…

Twenty-first-century skills should be integrated into higher education to prepare students for complex working-life challenges. Artificial intelligence (AI)-powered tools have the potential to optimise skill development among higher education students. Therefore, it is important to conceptualise relevant affordances of AI systems for 21st-century…

Background: When learning causal relations, completing causal diagrams enhances students' comprehension judgements to some extent. To potentially boost this effect, advances in natural language processing (NLP) enable real-time formative feedback based on the automated assessment of students' diagrams, which can involve the correctness of both the…

With the burgeoning popularity and swift advancements of automated writing evaluation (AWE) systems in language classrooms, scholarly and practical interest in this area has noticeably increased. This systematic review aims to comprehensively investigate current research on three prominent AWE systems: Grammarly, Pigai, and Criterion. Objectives…

The release of ChatGPT has marked the dawn of a new information revolution that will transform how people communicate and make meaning. However, to date, little is known about the implications of ChatGPT for L2 composition instruction. To address this gap, the present study uses a systematic review design to synthesize available research on the…

While studies on teacher written feedback and automated writing evaluation (AWE) feedback have proliferated in recent decades, little attention has been paid to how AWE-teacher integrated feedback would influence students' engagement and their writing performance in second language (L2) writing. Against this backdrop, a quasi-experimental design…

Various studies empirically proved the value of highly informative feedback for enhancing learner success. However, digital educational technology has yet to catch up as automated feedback is often provided shallowly. This paper presents a case study on implementing a pipeline that provides German-speaking university students enrolled in an…

Checking essays written by students is a very time consuming task. Besides spellings and grammar, they also need to be evaluated on their semantic content such as cohesion, coherence, etc. In this study we focus on one such aspect of semantic content which is the topic of the essay. Putting it formally, given a prompt or essay-statement and an…

Computer-aided design, manufacturing and engineering technologies (CAD/CAM/CAE) are a mainstay in today's industry and therefore they should be an important part in the current training plan of the graduate engineers. However, their implementation in the university environment presents certain barriers that make it difficult. In this work, we…

Purpose: This study aimed to evaluate the reliability of different approaches for estimating the articulation rates in connected speech of Parkinsonian patients with different stages of neurodegeneration compared to healthy controls. Method: Monologues and reading passages were obtained from 25 patients with idiopathic rapid eye movement sleep…

Automated scoring of student language is a complex task that requires systems to emulate complex and multi-faceted human evaluation criteria. Summary scoring brings an additional layer of complexity to automated scoring because it involves two texts of differing lengths that must be compared. In this study, we present our approach to automate…

In recent years, the use of asynchronous discussion forums in online learning has increased rapidly. In earlier studies, content analysis is the most-used research method in exploring the discussion transcripts. However, conventional content analysis is a time-consuming task and requires experienced coders. There is a need for an automated…

Background: This exploratory writing analytics study uses argumentative writing samples from two performance contexts--standardized writing assessments and university English course writing assignments--to compare: (1) linguistic features in argumentative writing; and (2) relationships between linguistic characteristics and academic performance…

Internet search engines have empowered citizens in their quest for seeking insights on a multitude of issues. Knowledge curation and evidence review requires systematic and rigorous fact-finding, baseline subject matter expertise, and the right tool to work at scale. Finding and summarizing knowledge has a direct impact on the research and…