Math anxiety can significantly impair student learning outcomes. This is often due to a lack of self-regulated learning (SRL), leading to a reliance on external guidance. This systematic literature review aimed to increase existing knowledge on the role of SRL in reducing students' mathematics anxiety and to assess its impact on improving learning…

The enduring challenges faced by MOOCs have consistently revolved around the low completion and high dropout rates. To explore the factors that affect the continuance intention of MOOCs, this study constructed a new theoretical model to analyze how the social and technical factors influenced the intention to continue using MOOCs through attachment…

Studies have explored the relationship between travelling non-linear post-secondary (PSE) pathways and student achievement in multiple jurisdictions. This research aims to overcome some of the major challenges faced by scholars in this area by leveraging a new administrative linkage in Ontario, Canada containing detailed information on students'…

Purpose: This study aims to investigate the determinants influencing green mindfulness among university students in Malaysia within the context of the Malaysia 2030 Agenda, focusing on Sustainable Development Goal 17 attainment. Design/methodology/approach: The research uses a quantitative approach with a sample of 203 young adults. It explores…

Since 2019, the Washington State Board of Education has engaged stakeholders in creating a vision for mastery-based learning (MBL) that sparked pilot programs, outcome evaluations, and a push for legislative action. By decoupling how students earn high school credits from the amount of time spent in classroom seats, the board also sought to boost…

This study examines the process of program development for undergraduate-level courses in Turkey, focusing on the methodologies, models, and practices employed in curriculum design. The research adopts a systematic review approach to analyze 25 graduate theses published between 2010 and 2023, sourced from the Council of Higher Education (YÖK)…

Summative assessments are often underused for feedback, despite them being rich with data of students' applied knowledge and clinical and professional skills. To better inform teaching and student support, this study aims to gain insights from summative assessments through profiling students' performance patterns and identify those students…

In this piece I outline the history of the university in terms of a shift from a place concerned with the contemplation of the unknowable and the infinite to a machine focused on instrumental rationality, calculation, and computation. Reading this history through Lyotard's work on the post-modern condition and the emergence of the knowledge…

Integrating intended learning outcomes (ILOs) in educational frameworks has proven to be an essential strategy for enhancing teaching effectiveness and student learning across various disciplines. ILOs serve as precise statements outlining the knowledge and competencies that students should acquire by the end of a course or lesson, functioning as…

This study examines the impact of hybrid education on the selfefficacy of university professors in Morocco. Conducted during the 2021-2022 academic year, it uses an online questionnaire distributed to 102 professors, collecting demographic data and information on the perception and application of hybrid education. The research draws on the Hy Sup…

Over the past two decades, writing transfer theories have significantly influenced curriculum development in first-year writing (FYW) programs across the United States (US). This study examines the theories shaping multilingual curriculum development in FYW by presenting findings from a national survey informed by a transfer-encouraging…

This preface to the chapters that follow contextualizes the historical context within which Essential Learning Outcomes are discussed. A conceptual framework for the discussion of the context within which these projects occur is described in this preface.

The artificial intelligence methods might be applied to see through the education problems, and make effective prediction and decision. The transformation from data to decision are inseparable from the learning analytics. In order to solve the dynamic multi-objective decision problems, a decision learning algorithm is designed to analyze the…

Effective undergraduate statistical education requires training using real-world data. Textbook datasets seldom match the complexities and messiness of real-world data and finding these datasets can be challenging for educators. Consulting and industrial datasets often have nondisclosure agreements. Academic datasets often require subject area…

These days' educational landscape forces teachers to adapt to changing demands and embrace innovations. In this study, Artificial Intelligence (AI) literacy was analyzed as how it mediates the association between Computational Thinking Skills (CTS) and Organizational Agility (OA) among secondary teachers. A quantitative causal mediation analysis…