The complex and dynamic nature of collaboration makes it challenging to find indicators of productive learning and quality collaboration. This exploratory study developed a collaboration metric to capture temporal patterns of joint attention (JA) based on log files generated as students interacted with an immersive astronomy simulation using…

Artificial intelligence is the driving force of change focusing on the needs and demands of the student. The research explores Artificial Intelligence in Education (AIEd) for building personalised learning systems for students. The research investigates and proposes a framework for AIEd: social networking sites and chatbots, expert systems for…

To appropriately react to the swift development and changes of technologies these days, the need for creative teaching and learning has been increased. Making learners equip digital literacy of intelligent information has become necessary. This paper focused on three promising technologies that artificial intelligence humanities, forensic science,…

This paper combines a theoretical-based model with a data-driven approach to develop an Early Warning System that detects students who are more likely to dropout. The model uses innovative multilevel statistical and machine learning methods. The paper demonstrates the validity of the approach by applying it to administrative data from a leading…

This study investigated the effects of artificial intelligence (AI)-based chatbot and peer feedback mechanisms integrated into the instructional videos (IVs) as a feedback tool on learning performance and intrinsic motivation of pre-service teachers (PTs) in online learning. The participants were 144 PTs from a university in Turkey. A…

In line with the 2021 CALICO Conference theme "Global realities," we presented a plenary on how immersive virtual reality (IVR) could be used for second language learning by allowing learners to virtually travel around the globe via headset. The main affordances of virtual reality (VR) technology include immersing learners in an…

In recent years, advances in artificial intelligence (AI) have led to significantly improved, or in some cases, completely new digital tools for writing. Systems for writing assessment and assistance based on automated writing evaluation (AWE) have been available for some time. That is the case for machine translation as well. More recent are…

Cognitive diagnostic models (CDMs) are a family of psychometric models designed to provide categorical classifications for multiple latent attributes. CDMs provide more granular evidence than other psychometric models and have potential for guiding teaching and learning decisions in the classroom. However, CDMs have primarily been conducted using…

A discussion forum is a valuable tool to support student learning in online contexts. However, interactions in online discussion forums are sparse, leading to other issues such as low engagement and dropping out. Recent educational studies have examined the affordances of conversational agents (CA) powered by artificial intelligence (AI) to…

In addition to providing a set of techniques to analyze educational data, I claim that data science as a field can provide broader insights to education research. In particular, I show how the bias-variance tradeoff from machine learning can be formally generalized to be applicable to several prominent educational debates, including debates around…

The widespread use of artificial intelligence (AI) has been growing in various fields. AI is defined as human-like automation in place of human beings that can operate many functions based on some level of intelligence. In education, AI offers powerful pedagogical tools that can help enhance instructional quality. Given the inevitable advancements…

In recent years, Artificial Intelligence (AI) has shown significant progress and its potential is growing. An application area of AI is Natural Language Processing (NLP). Voice assistants incorporate AI by using cloud computing and can communicate with the users in natural language. Voice assistants are easy to use and thus there are millions of…

The purpose of this study was to identify the underlying cognitive attributes used during the design and development of science-based serious educational games. Study methods rely on a modification of cognitive diagnostics, item response theory, and Bayesian estimation with traditional statistical techniques such as factor analysis and model fit…

New Artificial Intelligence methods hold the potential to transform qualitative research in mathematics education. This study introduces and uses the machine learning technology of simple neural networks to automatically analyse transcript data. This serves as the basis to reflect on the use of machine learning technology in order to uncover some…

Fueled by exponential advances in technology, the world will change more in the next few decades than in all of human history, futurist Thomas Frey says. Community college leaders will have to think beyond traditional structures such as semester-length courses and two-year degree programs, designing micro-learning experiences that better match…