Classroom engagement is a critical factor for evaluating students' learning outcomes and teachers' instructional strategies. Traditional methods for detecting classroom engagement, such as coding and questionnaires, are often limited by delays, subjectivity, and external interference. While some neural network models have been proposed to detect…

Vocabulary is another domain in which teachers seek support regarding instructional methods, strategies, and resources as it is still unclear which method is more efficient in vocabulary instruction because it is affected by a number of variables and coursebooks and curricula do not direct neither the teachers nor the students properly. How…

Creative assessments hold the potential to counter outcome-oriented and utilitarian approaches to teaching, characteristic of neoliberal academia. This paper explores the potentialities of digital stories as one form of creative assessment that may help rupture normative ways of teaching-learning and engaging with affective pedagogies. The authors…

Authentic assessment is widely recognized as a valuable method that reflects real-world contexts, allowing students to apply their knowledge to practical challenges and prepare for their futures. Despite the pervasive influence of digital technologies in modern work and life, their role in authentic assessment--an approach centered on real-world…

This qualitative study examines the risks educators in Jordan face with the integration of ChatGPT, an emerging AI technology, into academic settings. While considerable attention has been given to risks affecting university students, there remains a gap in understanding the specific challenges encountered by educators themselves. Through…

Despite extensive research on the concerns with the use of ChatGPT that evolve around cheating, academic integrity, and plagiarism, very little is known on the assessment practices in school history, obscuring our understanding on how history teachers can assess students amid ChatGPT driven challenges. This conceptual paper discusses the…

The integration of advanced learning analytics and data-mining technology into higher education has brought various opportunities and challenges, particularly in enhancing students' self-regulated learning (SRL) skills. Analyzing developed features for SRL support, it has become evident that SRL support is not a binary concept but rather a…

In recent years, there has been a change in the objectives of Higher Education (HE): the inclusion of employability. The successful inclusion of employability as a goal of HE requires a change to the sector's teaching, learning and assessment (TLA) methods, which ought to be part of an HEI's strategy. In particular, there needs to be an emphasis…

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…

Overview: This systematic review explores the utilization of artificial intelligence (AI) for assessment, grading, and feedback in higher education. The review aims to establish how AI technologies enhance efficiency, scalability, and personalized learning experiences in educational settings, while addressing associated challenges that arise due…

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…

Classroom response systems (CRS) represent an innovative educational technology that can be used to promote active learning and student engagement. This study explores the effectiveness of CRS in enhancing student learning and performance across various engineering courses related to heat engines. During five academic years, CRS have been used…

This research was conducted to obtain students' views on the evaluation of artificial intelligence (AI)-supported design applications in art and design education using the fuzzy logic method. It aims to provide a new perspective for educators in identifying real learning situations and deficiencies in art and design education. The study utilized…

Since COVID-19, Dynamic Mathematics Software (DMS) has been more widely used in mathematics classes, and many studies have been published. These data, generated because of technological updates and the popularity of COVID-19, should be addressed. To examine comprehensively the effectiveness of DMS on K-12 students' mathematics learning, this…