Many students who study English as a foreign language (EFL) often find it challenging to paraphrase while writing from source texts. Lacking such an ability can lead to different meanings as well as copying another person's ideas, words or work. However, little research has been done to integrate tool consultation to assist students in…

Due to the varied social inequities, the pandemic has prompted unprecedented attention to the social divides in learning gains via online/blended learning. It has been identified that approximately 27,000 Chinese cross-border students live on the Mainland but attend Hong Kong schools every day. The pandemic has restricted the passage of the…

Mitigating the digital divide is essential for the sustainable development of education. To provide distance access which ensures equality in education for both urban and rural students, online learning has been emphasized in the post COVID-19 period. However, some challenges to total online learning have been described, such as isolation and the…

The digital skills divide has been raised as a serious issue during the COVID-19. However, few studies explored the predictive influence of personality traits on college students' digital skills in online learning. To address this gap, this study took the second-level digital divide as the focus to conduct a two-round survey of college students…

Data-driven platforms with rich data and learning analytics applications provide immense opportunities to support collaborative learning such as algorithmic group formation systems based on learning logs. However, teachers can still get overwhelmed since they have to manually set the parameters to create groups and it takes time to understand the…

This paper evaluates an international, online, content skills-based teacher education program sponsored by the U.S. State Department. The evaluation was designed using a RUFDATA framework (Saunders, 2000) to facilitate a complete, reflective assessment of the target program. Establishing causes-and-effects of the program's performance and data…

Conventional nursing courses have solely adopted lecture-based instruction for knowledge delivery, which tends to lack interaction, rehearsal, and personalized feedback. The development of chatbot technologies and their broad application have provided an opportunity to solve the abovementioned problems. Some knowledge-based chatbot systems have…

With the outbreak of COVID-19, more online learning has been adopted for distance learning. However, the effectiveness of online learning for those students engaged in it for the first time has not been discussed. This study aims to investigate perceived ineffectiveness of online learning and its antecedents related to cognitive and affective…

A newly emerged micro learning service offers a flexible formal, informal, or non-formal online learning opportunity to worldwide users with different backgrounds in real-time. With the assist of big data technology and cloud computing service, online learners can access tremendous fine-grained learning resources through micro learning service.…

In this study, we built a personalized hybrid course recommendation system (PHCRS) that considers students' interests, abilities and career development. To meet students' individual needs, we adopted the five most widely used algorithms, including content-based filtering, popularity-based methods, item-based collaborative filtering, user-based…

Artificial intelligence (AI) technology has been progressively utilized in educational environments in recent years, due to the advances in computing and information processing techniques. The automatic speech recognition technique (ASR) provides students with instantaneous feedback and interactive oral practice for supporting a context with…

In this paper, a multi-mode digital teaching approach is proposed based on the use of the VARK (Visual, Aural, Read/Write, Kinaesthetic) model where students have different styles (one or more) that improve their learning (face-to-face and online). Our research question is on the effectiveness of this approach in terms of learning efficacy and…

Deep learning (DL), as the core technology of artificial intelligence (AI), has been extensively researched in the past decades. However, practical DL education needs large marked datasets and computing resources, which is generally not easy for students at school. Therefore, due to training datasets and computing resources restrictions, it is…

The COVID-19 pandemic has brought disruptions and constraints to K-12 STEM education, such as the shortened classroom time and the restrictions on classroom interactions. More empirical evidence is needed to inform educators and practitioners which strategies work and which do not in the pandemic context. In response to the call for more empirical…

The COVID-19 pandemic has forced the digitalization of the majority of universities, prior to which they were largely operating using face-to-face modes of learning. Increased competition in the digital environment places universities under greater pressure to offer an innovative learning experience. The purpose of this paper is to understand the…