Forecasting the enrollments of new students in bachelor's systems became an urgent desire in the majority of higher education institutions. It represents an important stage in the process of making strategic decisions for new course's accreditation and optimization of resources. To gain a deep view of the educational forecasting context, the most…

The purpose of this study was to design a curriculum of artificial intelligence (AI) application for secondary schools. The learning objective of the curriculum was to allow students to learn the application of conversational AI on a block-based programming platform. Moreover, the empirical study actually implemented the curriculum in the formal…

Doing assignments is a very important part of learning. Students' assignment submission time provides valuable information on study attitudes and habits which strongly correlate with academic performance. However, the number of assignments and their submission deadlines vary among university courses, making it hard to use assignment submission…

While research in the learning sciences has spurred advancements in educational technology, the implementation of those learning resources in natural learning contexts advances teaching and learning. In this paper, two faculty members at the University of Central Florida used courseware generated with artificial intelligence as the primary…

Autism Spectrum Disorder (ASD) is a highly heterogeneous set of neurodevelopmental disorders with the global prevalence estimates of 2.20%, according to DSM5 criteria. With the advancements of technology and availability of huge amount of data, assistive tools for diagnosis of ASD are being developed using machine learning techniques. The present…

The purpose of the study was to identify the - interventions that can be adopted for teaching chemistry disciplines to the graduates majoring in Pharmacy (Mpharm) in Ukraine. The study employed a systematic review methodology and a qualitative approach to synthesising the sources. The triangular assessment method was used to rate the short-listed…

Although an increasing number of ethical data science and AI courses is available, with many focusing specifically on technology and computer ethics, pedagogical approaches employed in these courses rely exclusively on texts rather than on algorithmic development or data analysis. In this paper we recount a recent experience in developing and…

We have entered the Fourth Industrial Revolution, which has brought widespread digital transformation with advanced and broadened technologies including artificial intelligence (AI). To help students prosper in a world full of AI applications, it is important for us to offer students sufficient AI-integrated learning opportunities across different…

Educational institutions seek to transform the teaching-learning conditions through the use of new pedagogical and technological models. The aim of this quantitative research is to analyze the use of flipped classroom in the teaching-learning process on descriptive statistics through data science. The participants are 49 students who took the…

The study investigated the effectiveness of employing a proposed strategy for teaching geography using artificial intelligence applications in developing higher-order thinking skills and achievement among secondary school. The quasi-experimental method was used in this study. An observation card for higher-order thinking skills and an achievement…

New knowledge tracing models are continuously being proposed, even at a pace where state-of-the-art models cannot be compared with each other at the time of publication. This leads to a situation where ranking models is hard, and the underlying reasons of the models' performance -- be it architectural choices, hyperparameter tuning, performance…

Filipino students performed poorly in the 2018 Programme for International Student Assessment (PISA) mathematics assessment, with more than 50% obtaining scores below the lowest proficiency level. Students from public schools also performed worse compared to their private school counterparts. We used machine learning approaches, specifically…

Background: Collaborative problem solving (CPS) is important for success in the 21st century, especially for teamwork and communication in technology-enhanced environments. Measurement of CPS skills has emerged as an essential aspect in educational assessment. Modern research in CPS relies on theory-driven measurements that are usually carried out…

Artificial intelligence (AI) education is becoming increasingly important worldwide. However, there has been no measuring instrument for diagnosing the students' current perspective. Thus the aim of this study was to develop an instrument that measures student attitudes toward AI. The instrument was developed by verifying the reliability and…

Over the last two decades, 21st century competences and socio-emotional skills have become a major focus in educational policy. In this article, skills for the 21st century, soft skills, as well as social and emotional skills, are contextualised in the context of technological change, machine learning, and the ethics of artificial intelligence.…