Assessing student learning outcomes has been an integral and central component of schools and academic institutions, both as a measure of how well the school is performing and how well individual students are progressing. However, standardised tests might not be able to fully capture holistic aspects of learning such as self-regulatory…

Student cheating is a growing concern in all aspects of higher education, particularly in technical programs such as information systems. Technology is also enabling student cheating. This paper utilizes existing literature and various behavioral theories, including incentive theory, the theory of planned behavior, social reciprocity theory,…

Distance education has increased steadily since the onset of COVID-19. As online offerings become a staple in programs of study, rather than the exception, it is important to consider how instructors design their courses to incorporate feedback as well as how they promote active student involvement in feedback processes. In this paper, the authors…

Learning analytics intervention (LAI) studies aim to identify at-risk students early during an academic term using predictive models and facilitate educators to provide effective interventions to improve educational outcomes. A major impediment to the uptake of LAI is the lack of access to LAI infrastructure by educators to pilot LAI, which…

Culturally and Linguistically Diverse (CLD) is an education term used to define students enrolled in public schools whose language and culture do not match the dominant culture. Assessing CLD students has been an ongoing challenge in school psychology for decades. Significant disproportionality includes CLD populations, special education…

Despite extensive research on feedback models, there is still sparse empirical evidence of their validity and application in higher education learning settings, whether online, hybrid, or face-to-face. Understanding how a feedback framework--integrated in the instructional cycle--is perceived by the learners can provide empirical support about its…

In the contemporary world of digitalisation, comprehensive digital competence (DC) is and should be an integral part of students' repertoire to guarantee not only academic but also professional success. However, the level and requirements for DC may vary within specific educational contexts, especially in culturally oriented institutions. This…

This empirical study aims to understand the assessment pedagogies used to support pre-service teachers' assessment development in the post-pandemic. The study involved sixty 4th year English language pre-service teachers, and data were collected from interviews, practicum observation notes, field visit notes, and reflection papers. The study aimed…

The pervasive issue of cheating in educational tests has emerged as a paramount concern within the realm of education, prompting scholars to explore diverse methodologies for identifying potential transgressors. While machine learning models have been extensively investigated for this purpose, the untapped potential of TabNet, an intricate deep…

Program-level assessment is a holistic approach for arranging assessments throughout a degree program that supports sequential development of discipline knowledge, transferable skills and career readiness. Currently, the modular arrangement of courses means that student learning is partial, limited to passing the assessment and compartmentalized…

In the educational landscape, educational data mining has emerged as an indispensable tool for institutions seeking to deliver exceptional and high-quality education. However, education data revealed suboptimal academic performance among a significant portion of the student population, which consequently resulted in delayed graduation. This…

Econometrics has become increasingly important in Economics and Business degrees, since it appears to be narrowly related to several main skills and competencies as information management, creativity, problem-solving or decision-making. Furthermore, the development of information technologies, including econometric software, makes it possible to…

The purpose of the study is to present the Beehive Interactive Learning Model (BILM) and to provide an example of its application in an undergraduate statistics course. The model is developed by the researcher, who is a professor in Educational Measurement and Evaluation area in Turkey with over 15 years of teaching experience. The model is based…

Amidst the rapid advancement in the application of artificial intelligence learning, questions regarding the evaluation of students' learning status and how students without relevant learning foundation on this subject can be trained to familiarize themselves in the field of artificial intelligence are important research topics. This study…

Game-based learning environments hold significant promise for facilitating learning experiences that are both effective and engaging. To support individualised learning and support proactive scaffolding when students are struggling, game-based learning environments should be able to accurately predict student knowledge at early points in students'…