The content analysis included video lectures posted in 208 MOOCs on the Polish educational platform NAVOICA. The aim was to determine their subject matter and the methods of preparing video lectures. It turned out that video lectures were included in 57% of MOOCs, most often related to "Medical and health sciences" and…

Research has shown video modeling to be effective for training adult service providers to administer evidence-based practices to children with autism. This study examined the effects of video modeling training (VMT) on neurotypical adolescents' performance of peer mediated social interaction (PMSI), a 10-step procedure of simplified behavioral…

Educational robotics (ER) is a discipline of applied robotics focused on teaching robot design, analysis, application, and operation. Traditionally, ER has favored rigid robots, overlooking the potential of soft robots (SRs). While rigid robots offer insights into dynamics, kinematics, and control, they have limitations in exploring the depths of…

Predicting learner performance with precision is critical within educational systems, offering a basis for tailored interventions and instruction. The advent of big data analytics presents an opportunity to employ Machine Learning (ML) techniques to this end. Real-world data availability is often hampered by privacy concerns, prompting a shift…

This multicase study explores how instructors at one higher education institution used an emerging technology, Gradescope, in their large classes to support the assessment of student learning. The study examined the practices of two instructors who taught large lecture classes with more than 100 students and used Gradescope to assist with the…

Educational games help reinforce educational concepts. They help students learn through hypothesizing, probing, and reflecting upon the game environment. Understanding the impact of a game is important before deploying it in a class. Recent studies in learning analysis describe methodologies and approaches for analyzing educational games. However,…

Studies reporting flexible assessment strategies and their impact across different modes of study remain limited with little emphasis placed on the role these arrangements play in devising authentic assessment processes. This paper synthesises recent research work depicting flexible design principles and practice strategies for how educators might…

This paper discusses the ethical challenges presented by artificial intelligence (AI) within the instructional process for students with disabilities. The authors briefly overview technological changes in education and applications of AI in education in addition to policy. Discussion is directed toward the development of an ethical pedagogy using…

Considering the shortcomings of large evaluation errors, long time, human, and material resources in the evaluation process of the current college teaching mode to improve the accuracy of the evaluation of college teaching mode and reduce the cost of the evaluation, this study proposes an evaluation method for college teaching methods based on…

The impact of digitalisation on everyday life has necessitated the need for learners to acquire digital competence as part of their education. In order to prepare students to become digital citizens, it has become necessary for teachers to acquire and implement digital competence in the classroom. This study applied the DigCompEdu framework to…

Purpose: This paper aims to consolidate empirical studies between 2013 and 2022 to investigate the impact of artificial intelligence (AI) in higher education. It aims to examine published research characteristics and provide insights into the promises and challenges of AI integration in academia. Design/methodology/approach: A systematic…

This applied dissertation was designed to provide access to current information for administrators, teachers, and staff in an elementary school that is relevant to technology and assessments. The purposes of this study were: (1) to examine how the decomposed determinant factors of the DTPB influence the teachers' intention to adopt…

Artificial intelligence (AI), utilizing machine learning techniques to 'learn' from data, as humans learn from experiences, has the promise to perform various cognitive tasks, such as learning, thinking, problem-solving, and decision-making, which usually demands human cognition. In recent decades, the remarkable advancements in AI have led to its…

The purpose of this exploratory study is to propose a pedagogical nexus for maker educators that is specific to making and tinkering in K-12 formal learning environments. The intent is to document the pedagogical approaches of practising teachers as they gain experience with making practices and principles. Based on the analysis of interview data…

Videos have come-up as self-learning tool in all forms of engineering education, including the formal, informal, and nonformal education. The article presents the different perspectives of using videos in teaching engineering courses. Most popular video lecture series have been discussed with their specific applications and popularity concerns.…