Spatial fluency describes the ability and confidence of an individual to navigate and negotiate their experiences in a postdigital world. This paper reflects on teaching and learning experiences from the COVID-19 pandemic lockdown and its aftermath, and on the volatile nature of social media, and the threats and opportunities afforded by AI. It…

To better understand the marketing education discipline, this research uses an eleven-year (2013-2023) systematic bibliographic content analysis of teaching and pedagogy paper topics that are part of the Society for Marketing Advances (SMA) Annual Conference Proceedings. Since many marketing educators present works in progress at conferences…

Administrative leadership at School District 7 navigates diverse perspectives on implementing artificial intelligence (AI) in their high schools. Planning for the new school year, the superintendent grapples with AI and how it has impacted her four high schools in the past year. This case is written for k-12 school policy and leadership students…

Many individuals with autism experience challenges using language in social contexts (i.e., pragmatic language). Characterizing and understanding pragmatic variability is important to inform intervention strategies and the etiology of communication challenges in autism; however, current manual coding-based methods are often time and labor…

The rise of generative artificial intelligence systems is impacting teaching and learning at every level of education. In particular, colleges and universities are working hard to understand and adapt to advanced computer tools that pose challenges to some of the foundational structures of education. The immensity of this disruption is captured in…

As artificial intelligence (AI) technology continues to advance, its influences across various industries have grown, leading to increasing levels of anxiety, including that in education. Nonetheless, in terms of current knowledge, the literature lacks a valid scale to measure AI anxiety among EFL teachers, particularly university EFL teachers.…

Affective, behavioral, and cognitive engagements play crucial roles in how learners interact with and process written feedback on their language production. The present study examines the efficacy of peer feedback versus ChatGPT-generated feedback in an English as a Foreign Language (EFL) writing context. Participants (n = 169) were 1st-year…

Educational stakeholders would be better informed if they could use their students' formative assessments results and personal background attributes to predict the conditions for achieving favorable learning outcomes, and conversely, to gain awareness of the "at-risk" signals to prevent unfavorable or worst-case scenarios from happening.…

Art and technology have always been very tightly intertwined, presenting strong influences on each other. On the other hand, technological evolution led to today's digital media landscape, elaborating mediated communication tools, thus providing new creative means of expression (i.e., new-media art). Rich-media interaction can expedite the whole…

Artificial intelligence and data analysis (AIDA) are increasingly entering the field of education. Within this context, the subfield of learning analytics (LA) has, since its inception, had a strong emphasis upon ethics, with numerous checklists and frameworks proposed to ensure that student privacy is respected and potential harms avoided. Here,…

Augmentative and alternative communication (AAC) has been transformed by the social media revolution made possible by the emergence of mobile technology. The cumbersome dedicated devices of the 1970s have evolved into a burgeoning AAC app industry. However, the limited use and abandonment of AAC technologies remains high. Unlocking the untapped…

Machine learning is a popular topic in data analysis and modeling. Many different machine learning algorithms have been developed and implemented in a variety of programming languages over the past 20 years. In this article, we first provide an overview of machine learning and clarify its difference from statistical inference. Then, we review…

Reflective writing is an important educational practice to train reflective thinking. Currently, researchers must manually analyze these writings, limiting practice and research because the analysis is time and resource consuming. This study evaluates whether machine learning can be used to automate this manual analysis. The study investigates…

Existing research shows that people can improve their decision skills by learning what experts paid attention to when faced with the same problem. However, in domains like financial education, effective instruction requires frequent, personalized feedback given at the point of decision, which makes it time-consuming for experts to provide and…

With the advent of new data collection techniques, there has been a growing interest in studying co-located groups of students using Multimodal Learning Analytics to automatically identify collaborative learning states. In this paper, we analyze a multimodal dataset (N=84) made of eye-tracking, physiological and motion sensing data. We leverage…