Purpose: High-speed videoendoscopy (HSV) is an emerging, but barely used, endoscopy technique in the clinic to assess and diagnose voice disorders because of the lack of dedicated software to analyze the data. HSV allows to quantify the vocal fold oscillations by segmenting the glottal area. This challenging task has been tackled by various…

Due to the growing demand for information technology skills, programming education has received increasing attention. Predicting students' programming performance helps teachers realize their teaching effect and students' learning status in time to provide support for students. However, few of the existing researches have taken the code that…

We investigated how families experienced immersion as they collaboratively made sense of geologic time and geoscience processes during a place-based, learning-on-the-move (LOTM) experience mediated by a mobile augmented reality (MAR) app. Our team developed an MAR app, "Time Explorers," that focused on how rock-water interactions shaped…

Educational research and best practices make clear that rigorous and effective instruction requires teachers to tap into the creative zones of students--to make learning come alive and engage them meaningfully. The deeper teachers take students into their thinking around the content, the more engaged they are in the classroom and the more powerful…

Constructive alignment, as a less examined issue in the English language learning context, is a technique to align learning outcomes, teaching activities, and assessment based on the competencies that learners need to achieve. This study examined whether teaching academic paragraph writing in a virtual flipped classroom according to the…

Intelligent assessment, the core of any AI-based educational technology, is defined as embedded, stealth and ubiquitous assessment which uses intelligent techniques to diagnose the current cognitive level, monitor dynamic progress, predict success and update students' profiling continuously. It also uses various technologies, such as learning…

Despite the positive claims on the pedagogical use of social annotation and online collaborative writing tools discussed in the literature, most of the findings are derived from interviews or self-reported survey data. Very few studies probed deep into the learning processes and examined students' digital traces and the artefacts they…

The automated classification of examination questions based on Bloom's Taxonomy (BT) aims to assist the question setters so that high-quality question papers are produced. Most studies to automate this process adopted the machine learning approach, and only a few utilised the deep learning approach. The pre-trained contextual and non-contextual…

Traditionally, the key principle of assessment was based on the depth and intensity of the knowledge taught in class. In our modern state, the notion of assessment is more about learning and less about whether it is deep or surface learning. This could be attributed to challenges facing higher education, such as marketisation, massification,…

The flipped classroom is a popular teaching method where course content is transferred to students through online resources to implement more active learning strategies in-class time. The study aims to investigate the effects of the flipped classroom on deep learning strategies and engagement at the undergraduate level, alongside students'…

While Reinforcement learning (RL), especially Deep RL (DRL), has shown outstanding performance in video games, little evidence has shown that DRL can be successfully applied to human-centric tasks where the ultimate RL goal is to make the "human-agent interactions" productive and fruitful. In real-life, complex, human-centric tasks, such…

Previous studies have found that students' concept-building approaches, identified a priori with a cognitive psychology laboratory task, are associated with student exam performances in chemistry classes. Abstraction learners (those who extract the principles underlying related examples) performed better than exemplar learners (those who focus on…

Background: Select and enact appropriate learning tactics that advance learning has been considered a critical set of skills to successfully complete highly flexible online courses, such as Massive open online courses (MOOCs). However, limited by analytic methods that have been used in the past, such as frequency distribution, sequence mining and…

Working in groups is an important collaboration activity in the educational context, where a variety of factors can influence the prediction of the teams' performance. In the pertinent bibliography, several machine learning models are available for delivering predictions. In this sense, the main goal of the current research is to assess 28…

This paper describe one aspect of a recent study that investigated the impact and dimensions of several teaching and learning approaches utilised in tertiary institutions. The study aimed to reduce reliance on surface learning techniques and improve deep learning processes amongst a cohort of undergraduate students studying in a Bachelor of…