Purpose: The purpose of this study is to determine the competency characteristics required for the employment of master's degree students in educational technology. Design/methodology/approach: A combined qualitative and quantitative method was used to consult multiple experts through a modified Delphi method. Competency characteristics were…

Although graduate academic institutions implement diverse annual review processes, their overall intent is focused on ensuring continuous improvement of program quality (National Institute for Learning Outcomes Assessment, 2020). Through program review processes, university leaders (e.g., department chairs, program leads) analyze student…

Peer assessment training was motivated, developed and evaluated to address fairness in higher education group learning. Team-centric pedagogies, such as team-based learning have been shown to improve engagement and learning outcomes. For many instructors using teams, peer assessments are integral for monitoring team performance and ensuring…

The rapid development of artificial intelligence has driven the transformation of educational evaluation into big data-driven. This study used a systematic literature review method to analyzed 44 empirical research articles on the evaluation of big data education. Firstly, it has shown an increasing trend year by year, and is mainly published in…

Objectives: Increasing childhood health literacy (HL) is a crucial means of improving health outcomes and reducing preventable deaths globally. Understanding how to best support children's HL development in schools is essential. However, identifying pedagogical strategies that develop children's HL relies on a fit-for-purpose measure. Currently,…

Aware of the various issues involved in assessing learning, but also of the difficulties encountered in classroom practice of this pedagogical act, we set out in this article to explore and analyze the assessment practices of secondary school mathematics teachers and the conceptions they underlie. The study was conducted from a systemic…

Post-secondary institutions are required to complete a variety of quality assurance activities including external program review, a process of inviting external reviewers from outside the institution to provide constructive feedback on all aspects of an academic program. While external program reviews have been completed for decades, there has…

The South Carolina Master Naturalist Program provides nature-based education to citizen volunteers who will promote environmental stewardship and is offered at six host sites across the state. We conducted a mixed-methods evaluation (the integration of qualitative and quantitative data) of the South Carolina Master Naturalist Program. Overall, the…

Student engagement needs to be context-specific to embrace holistic learning for increasingly diverse students in higher education. This paper presented a case study on the context-specific adaptation of a student engagement measure for a private university in Bangladesh. The adaptation process involved steps such as benchmarking theoretically…

An assessment for learning approach is foundational for student learning. The necessity to shift teaching and learning online as a response to COVID-19 has propelled digital assessment into the mainstream within higher education institutions. User experience is a common indicator of effectiveness of technologically enhanced initiatives; however,…

Limited studies illustrate the significance of a transformative perspective on pre-service teachers' assessment practices during their study in higher education institutions (HEIs). As such, the need to prepare pre-service teachers for the transformative realities of the workplace has been widely acknowledged as a crucial element of contemporary…

Literature screening is the process of identifying all relevant records from a pool of candidate paper records in systematic review, meta-analysis, and other research synthesis tasks. This process is time consuming, expensive, and prone to human error. Screening prioritization methods attempt to help reviewers identify most relevant records while…

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…

Predictive student models are increasingly used in learning environments due to their ability to enhance educational outcomes and support stakeholders in making informed decisions. However, predictive models can be biased and produce unfair outcomes, leading to potential discrimination against certain individuals and harmful long-term…

Intensive longitudinal data has been widely used to examine reciprocal or causal relations between variables. However, these variables may not be temporally aligned. This study examined the consequences and solutions of the problem of temporal misalignment in intensive longitudinal data based on dynamic structural equation models. First the impact…