The education sector has been quick to recognize the power of predictive analytics to enhance student success rates. However, there are challenges to widespread adoption, including the lack of accessibility and the potential perpetuation of inequalities. These challenges present in different stages of modeling, including data preparation, model…

Purpose: This study aims to identify how literature has addressed sustainability reporting in universities over time and determine traceable patterns and trends. Design/methodology/approach: A comprehensive systematic review protocol of the Emerald Insight, Web of Science, Science Direct, Scopus, Springer Link and Wiley Online Library databases…

Prospective students and their families use college rankings to navigate their higher education options. Rising tuition and fees have made the college decision more fraught. Recently, the major college ranking providers have revised their methodologies to reflect costs and other considerations. These revisions raise important questions about the…

There can be many reasons why students fail to answer correctly to summative tests in advanced computer science courses: often the cause is a lack of prerequisites or misconceptions about topics presented in previous courses. One of the ITiCSE 2020 working groups investigated the possibility of designing assessments suitable for differentiating…

This paper explores using data mining in English teaching assessment in higher education within the 'Internet + Education' era. Traditional assessment methods struggle to meet modern teaching needs. By collecting diverse data like student performance and learning behavior, and employing data mining, a comprehensive assessment model is built. This…

Sustainability has increasingly become key in universities, as the objectives of sustainable development are essential to establish policies, guidelines and indicators that guide institutions to be more sustainable. This recognition has led many authors to develop methods to assess universities based on their performance in terms of sustainable…

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…

Higher education professionals often are tasked with providing evidence to stakeholders that programs, services, and practices implemented on their campuses contribute to student success. Furthermore, in the absence of a solid base of evidence related to effective practices, higher education researchers and practitioners are left questioning what…

Colleges and universities depend upon external approvals from accreditors, government agencies, and national organizations. These approvals require periodic review of institution-prepared reports and self-studies documenting the continued validity of offered degrees and programs, student support and success, institutional effectiveness, and…

Student evaluations of teaching (SETs) are a ubiquitous feature of higher education. However, scholars have presented numerous challenges to the accuracy, validity, reliability and objectivity of SETs as a measure of teaching effectiveness. Given the potential for bias, the use of SETs in professional review may constitute a form of institutional…

The world has experienced rapid changes, leading to pressing issues such as environmental degradation, social inequality, and resource depletion. As a transdisciplinary field, evaluation has emerged as a crucial tool in addressing these challenges and promoting systemic change. However, concerns have been raised regarding the field's capacity to…

By using modern data analysis techniques, this study aims to construct an innovative university English teaching effectiveness evaluation model based on particle swarm algorithm and support vector machine. The model is designed to improve assessment accuracy and personalization. The research process includes the methodology of data collection,…

The U.S. Department of Education has required educational collection and reporting. For postsecondary institutions, this requirement has evolved from the Higher Education General Information Survey (HEGIS), which was used from the 1960s to the 1980s, to the Integrated postsecondary Education Data System (IPEDS) (Aliyeva, Cody, & Low, 2018).…

Curriculum evaluation is a process carried out to decide the effectiveness of training programs. In this process, the strengths and aspects of the training programs that are open to improvement are emphasized. Therefore, curriculum evaluation studies are an important part of curriculum development. In this respect, it is important to consider the…

Assessing the quality of education is a vital stipulation for all graduate programs that aim to secure and bolster their current rank among similar programs. Program evaluation is usually carried out by parties not directly related to a program. In other words, outsiders evaluate programs. Insiders who have first-hand experiences and impressions…