Many large introductory classes are taught in stadium-style classrooms, which makes group work more difficult due to the room layout and immobile seating. These classrooms may create challenges for an instructor who wants to monitor student engagement because the layouts make it difficult to interact with the students as they work. Student…

Aim/Purpose: This paper examines the potential of ChatGPT-assisted retrieval practice to enhance students' final exam performance. ChatGPT was utilized to generate questions and deliver timely feedback during retrieval practice, supporting learning in large class settings where providing personalized feedback is often challenging. Background:…

Transform your school's grading practices with this updated second edition on evidence-based grading. The book provides a five-phase process for moving beyond standards-based and competency-based grading models. Administrators and teachers will gain understanding of the core principles of evidence-based assessment, refocus assessments on…

This book is crafted for both novice simulation educators embarking on their teaching careers and seasoned subject matter experts seeking to enhance the effectiveness of their simulation programs. The book draws on the effort of a novice simulation educator under the guidance of two simulation experts with over 40 years of collective experience.…

Massive Open Online Courses (MOOCs) effectively support online learning behaviour; while constructing a sustainable learning process, MOOCs have also formed the social network. In addition, learners' burnout state has become a serious obstacle to the development and promotion of MOOCs. This study analyzes the potential social behaviour associated…

The present study explored young children's inclusion/exclusion decisions based on gender, skin color, and physical and sensorial disabilities. We also examined children's emotions following these decisions and the explicit influence of peers (social consensus) and teachers (authority influence). Our sample consisted of 64 Romanian children, aged…

In massive open online course (MOOC) environments, computer-based analysis of course reviews enables instructors and course designers to develop intervention strategies and improve instruction to support learners' learning. This study aimed to automatically and effectively identify learners' concerned topics within their written reviews. First, we…

The use of multistage adaptive testing (MST) has gradually increased in large-scale testing programs as MST achieves a balanced compromise between linear test design and item-level adaptive testing. MST works on the premise that each examinee gives their best effort when attempting the items, and their responses truly reflect what they know or can…

In physical education (PE), the use of instruction and feedback is central to children's motor skill learning. Recently, it has been identified that instruction, and feedback, which promote OPTIMAL theory motor learning factors (e.g., an external focus of attention, enhanced expectancies, and autonomy support) can enhance children's motor…

In contemporary education, accurately predicting student performance and delivering prompt feedback is paramount for fostering a comprehensive grasp of academic progress and adopting strategies for enhancing the quality of student learning. This review examines the studies on virtual tutoring systems utilising Generative Pre-trained Transformer 3…

Background/purpose: This study examines the design, development, and implementation of Small Private Online Courses (SPOCs) at Bulacan State University to standardize high-quality instructional materials and support asynchronous online learning. Materials/methods: Employing the ADDIE model (Analyze, Design, Develop, Implement, Evaluate), the study…

Recent developments in artificial intelligence (AI) have significantly influenced educational technologies, reshaping the teaching and learning landscape. However, the notion of fully automating the teaching process remains contentious. This paper explores the concept of hybrid intelligence (HI), which emphasizes the synergistic collaboration…

Intelligent Tutoring Systems (ITS) possess significant potential to enhance learning outcomes. However, deploying ITSs in global south countries presents challenges due to their frequent lack of essential technological resources, such as computers and internet access. The concept of AIED Unplugged has emerged to bridge this digital divide,…

The problem addressed through this study is the inconsistent use of mathematics educational technology tools in middle school mathematics courses in the United States. The problem was important to address because inconsistent use of mathematics educational technology tools may impact student performance. The purpose of this basic qualitative study…

Knowledge tracing (KT) aims to predict students' future performances based on their former exercises and additional information in educational settings. KT has received significant attention since it facilitates personalized experiences in educational situations. Simultaneously, the autoregressive (AR) modeling on the sequence of former exercises…