Knowledge tracing is a well-known problem in AI for education, consisting of monitoring how the knowledge state of students changes during the learning process and accurately predicting their performance in future exercises. In recent years, many advances have been made thanks to various machine learning and deep learning techniques. Despite their…

This chapter provides preliminary evidence to show that financial accounting students would use generative artificial intelligence (AI) tools to improve their learning if given the opportunity to do so by their instructors. Most students who completed the exercises we used in the study did so diligently and modified their answers after using a…

The Food-Energy-Water (FEW) Nexus envisions interactions between water, energy, and food systems, in which water allocation decisions constitute complex socio-hydrologic issues. Undergraduate students need to develop skills to understand and make effective decisions about the FEW Nexus. We implemented a comprehensive curriculum where undergraduate…

This study explores the relationship between technology-based collaborative learning and learners' social regulation, academic emotions, and academic presentation. The researchers invited 695 English as a Foreign Language (EFL) students of different ages and learning backgrounds to participate in the research by questionnaire. The validated…

This dissertation has a couple of purposes: (1) to examine what writing knowledge and digital experiences are transferred/fail to be transferred to digital writing in a first-year writing class, and (2) to explore how writing knowledge, digital literacy, and students' prior writing experiences impact students' transfer between different activity…

In this paper we discuss the types of knowledge used by six middle school students as they engaged with a debugging task designed to integrate ideas from computer science, mathematics and science. Our findings show that the computational thinking practice of debugging is a rich source of opportunities to integrate these different disciplines. The…

This paper examines university students' perceptions of and experiences with using ChatGPT, a generative artificial intelligence (GenAI) tool, to enhance their experiential learning. In this exploratory study, we designed a ChatGPT learning activity flow corresponding to the four experiential learning steps. Analysis of survey data collected from…

This study aimed to develop and validate, based on the Evidence Centered Design approach, a generic tool to diagnose primary education pupils' prior knowledge of technological systems in primary school classrooms. Two technological devices, namely the Buzz Wire device and the Stairs Marble Track, were selected to investigate whether theoretical…

Use of the term Background knowledge, in conjunction with Reading Comprehension, has become convoluted and vague over the past several decades of research. Showing the abundance of uses of the term in multiple domains and disciplines has relegated it to being an automatic inclusion in key notes and conclusions of research on the topic of improving…

In the descriptive study reported on here we used A Scale for Flipped Classroom Readiness of Secondary School Learners developed by Hao and adapted by Durak to evaluate teachers' readiness. The scale was administered to 233 teachers working at 5 randomly selected secondary schools in the city of Elazig, Turkey. Five key aspects of their readiness…

With the immense interest in ChatGPT worldwide, education has seen a mix of both excitement and skepticism. To properly evaluate its impact on education, it is crucial to understand how far it can help students without prior knowledge answer assessment questions. This study aims to address this question as well as the impact of the question type.…

Purpose: This study examined the learning experiences of speech-language pathology students after creating three-dimensional (3D) anatomical models as part of an undergraduate Anatomy and Physiology course. Method: A total of 44 undergraduate students used 3D software programs to design anatomical components (e.g., larynx, brainstem, brain cortex,…

Programming education often imposes a high cognitive burden on novice programmers, requiring them to master syntax, logic, and problem-solving while simultaneously managing debugging tasks. Prior knowledge is a critical factor influencing programming learning performance. A lack of foundational knowledge limits students' self-regulated learning…

Technology-enhanced vocabulary learning has gained increasing attention, yet its effectiveness remains inconclusive, with studies reporting mixed findings. Additionally, whether integrating self-regulated learning mechanism (SLM) into such type of learning can further enhance its effectiveness remains underexplored. This study examines the impact…

In this study, the 21st-century skills teaching levels of teacher candidates were assessed based on factors such as gender, age, department of study, daily internet usage, the reason for use, family income, residence, and whether or not they had previously heard of 21st-century skills. The research data was gathered using the ten-item 21st Century…