The many and varied challenges facing higher education include a culture of publish or perish, increased course loads without more pay or benefits, increased pressure on institutions to compete for students, budget cuts, a political atmosphere targeting higher education, and continued systemic inequities. Those who work in higher ed are under more…

Simulation based training (SBT) has allowed for improvement of clinical skills by providing practical experience of performing surgical procedures without the risk of harming patients. Performance assessment of learners during SBT has proved to be effective in improving psycho-motor skills, encouraging active learning and in-turn increasing…

Our students taking the Artificial Intelligence and Knowledge Engineering courses often encounter a large number of problems to solve which are not directly related to the subject to be learned. To solve this problem, we have developed a game based e-learning system. The elected game, that has been implemented as an e-learning system, allows to…

Artificial intelligence (AI) has taken the world by storm, with new AI-powered tools such as ChatGPT opening up new opportunities in higher education for content creation, communication, and learning, while also raising new concerns about the misuses and overreach of technology. Our shared humanity has also become a key focal point within higher…

Artificial intelligence applications are becoming common in every segment of American life; higher education will not be immune. Attempts to fit artificial intelligence into the existing syllabus or teaching roles are unlikely to be successful and will waste a major opportunity to move higher education into new directions. Students graduating…

Recently, chatbot interactions have been used for oral communication practice in the field of foreign language education. Some existing studies have highlighted the use of chatbots in relation to specific L2 skills, yet unfortunately, the user experience component of chatbot interaction has not been empirically researched. This study investigates…

Purpose: This study aims to examine if a pedagogical agent's expressed anger, when framed as a feedback cue, can enhance mental effort and learning performance in a multimedia learning environment than expressed happiness. Design/methodology/approach: A between-subjects experiment was conducted in which learners engaged with a multimedia learning…

In this article, we review the recent expansion within the sales education literature from five primary journals and the business literature at large. The five primary journals are the "Journal of Marketing Education, Marketing Education Review, Journal for the Advancement of Marketing Education, Journal of Education for Business," and…

This quantitative research analyzes the impact of the Web Application for the Educational Process on Compound Interest (WAEPCI) considering the machine learning and data science. The sample is composed of 46 students who studied the Financial Mathematics course in a Mexican university during the 2017 school year. WAEPCI presents the calculation of…

We perform two approaches of machine learning, logistic regressions and decision trees, to predict student dropout at the Karlsruhe Institute of Technology (KIT). The models are computed on the basis of examination data, i.e. data available at all universities without the need of specific collection. Therefore, we propose a methodical approach…

While the use of automated writing evaluation software has received much attention in CALL literature, as Frankenberg-Garcia (2019) notes, empirical research on predictive text and intelligent writing assistants is lacking. Thus, this study addressed this gap in the literature by examining the impact of Grammarly, an intelligent writing assistant…

Comprehension is an important cognitive state for learning. Human tutors recognize comprehension and non-comprehension states by interpreting learner non-verbal behavior (NVB). Experienced tutors adapt pedagogy, materials, and instruction to provide additional learning scaffold in the context of perceived learner comprehension. Near real-time…

This study examined how machine learning and natural language processing (NLP) techniques can be leveraged to assess the interpretive behavior that is required for successful literary text comprehension. We compared the accuracy of seven different machine learning classification algorithms in predicting human ratings of student essays about…

We investigate generalizability of face-based detectors of mind wandering across task contexts. We leveraged data from two lab studies: one where 152 college students read a scientific text and another where 109 college students watched a narrative film. We automatically extracted facial expressions and body motion features, which were used to…

This study examined how machine learning and natural language processing (NLP) techniques can be leveraged to assess the interpretive behavior that is required for successful literary text comprehension. We compared the accuracy of seven different machine learning classification algorithms in predicting human ratings of student essays about…