This chapter explores the potential of integrating conversational AI tools such as ChatGPT with data visualization (DV) tools such as Power BI in higher education settings. A brief history of chatbots is summarized and challenges and opportunities in higher education are outlined. The highlights include AI's prospects for enhancing data-informed…

Industry 4.0, whose effects have been more and more noticeable in recent years, and the digital change it brings call for a new educational model that aligns university instructional processes and curricula with the demands of business. This approach, known as University 4.0, intends to promote more technology-based applications, the power of…

The personalization of curriculum plays a pivotal role in supporting students in achieving their unique learning goals. In recent years, researchers have dedicated efforts to address the challenge of personalizing curriculum through diverse techniques and approaches. However, it is crucial to acknowledge the phenomenon of student forgetting, as…

Generative AI presents significant opportunities for instructional designers to create content and personalize online learning environments. Alongside its benefits, generative AI also poses ethical considerations and potential risks, such as perpetuating biases or disrupting the learning process. Navigating these complexities requires an approach…

Increasing concerns about the trustworthiness of research have prompted calls to scrutinise studies' Individual Participant Data (IPD), but guidance on how to do this was lacking. To address this, we developed the IPD Integrity Tool to screen randomised controlled trials (RCTs) for integrity issues. Development of the tool involved a literature…

This paper explores co-design in Japanese education for deploying data-driven educational technology and practice. Although there is a growing emphasis on data to inform educational decision-making and personalize learning experiences, challenges such as data interoperability and inconsistency with teaching goals prevent practitioners from…

In learning analytics and in education at large, AI explanations are always computed from aggregate data of all the students to offer the "average" picture. Whereas the average may work for most students, it does not reflect or capture the individual differences or the variability among students. Therefore, instance-level…

This study sought to investigate, from an empirical standpoint, whether teacher SECs impact classroom management and their well-being. Teachers completed a questionnaire including the Self-Assessing Social and Emotional Instruction and Competencies: A Tool for Teachers (SSEIC) and Professional Quality of Life (ProQOL), as well as were observed…

This correlational study examined the predictive roles of decisional and emotional forgiveness on levels of relationship satisfaction among college students in committed, monogamous romantic relationships for at least 6 months. From an initial pool of 120 Biola University undergraduate students, data from a final sample of 90 participants were…

This paper provides an overview of strategic planning's role in enhancing higher education institutions' sense of strategic direction and outlining measurable goals. The study particularly reflects the practical experience of setting up a strategic plan within a community college at a Saudi Arabian university, providing academic insight into…

The education faculty aims to assess departmental effectiveness by analyzing the relationship between service levels, output variables, and input variables. This objective is coupled with the formulation of faculty development strategies tailored to enhance efficiency while accommodating individual professionals' unique requirements and…

While there are many different types of education data, policymakers and education leaders often place heavy emphasis on data from large-scale quantitative measures, such as annual state assessments. But data from these sources alone do not provide a complete picture of learning and are often not well suited to informing improvements at the local…

This paper reports on a model for participatory curriculum development that builds on a 'connected learning communities' (CLC) approach. We describe and analyse the trajectory of six CLC-cases using a framework informed by Social Practice Theory (SPT). The activities we report on took place during the first pilot year (2020-2021) of a…

This qualitative multi-case study explores the exercise and development of the design judgment of eight instructional design (ID) students working on design projects over one semester in graduate programs at four different institutions in the USA. Their design processes were explored through interviews and their design documents using the concepts…

The purpose of this study was to explore how teachers engaged in data use for instructional decision making. A grounded theory research design was used to analyze interviews of 10 special education teachers. Special education teachers were asked to complete an online survey and were interviewed with questions to reveal their experiences with…