The evidence continuum is a five-domain model for building evidence through needs assessment, program theory, process evaluation, outcomes and impact evaluation, and optimization studies. In this conceptual article, the first two domains of the evidence continuum are used to design a learner centered course on advanced research methods, and…

This research aims to develop a combining game-based learning with design thinking using block-based programming to enhance computational thinking and creative games for primary students and will be referred to as game-based learning from now on. The purpose of this research is to 1) develop a model for game-based learning, 2) develop the system…

The recent evolution of technology and the Internet has transformed how individuals find and share information. Research shows that citizens of all ages and backgrounds struggle with critical online information evaluation (COIE), which could result in serious societal consequences. Although it is crucial to develop student proficiency within this…

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…

Background: Stealth assessment is a learning analytics method, which leverages the collection and analysis of learners' interaction data to make real-time inferences about their learning. Employed in digital learning environments, stealth assessment helps researchers, educators, and teachers evaluate learners' competencies and customize the…

The past [approximately]15 years have seen increasing interest in defining disciplinary core concepts. Within the field of physiology, Michael, McFarland, Modell, and colleagues have published studies that defined physiology core concepts and have elaborated many of these as detailed conceptual frameworks. With such helpful definitions now in…

This dissertation presents various machine learning applications for predicting different cognitive states of students while they are using a vocabulary tutoring system, DSCoVAR. We conduct four studies, each of which includes a comprehensive analysis of behavioral and linguistic data and provides data-driven evidence for designing personalized…

The primary objective of this paper is to present a curriculum design model that extends the 'Powerful Knowledge' ideas of social realist theory. The Model called 'Curriculum Design Coherence' (CDC) hypothesizes an approach in which subject concepts and the subject's epistemic structure are central to the design process to enable deep learning.…

New national science standards have elevated attention to student performance with a core set of science and engineering practices, yet guidance about how to assess these practices is only just emerging in the literature. This is particularly true for the set of engineering design-focused concepts and practices articulated in the Next Generation…

As educational accountability pressures and science teacher attrition rates within American public-school systems continue to rise, so does the need for improved reform-based professional development (PD) opportunities that allow science educators to challenge their pedagogical beliefs and teaching practices. This qualitative case study explores…

The higher education sector is under increasing pressure to deliver more and to evidence the fruits of its contribution to society. There is a particular focus on the enhanced engagement of students in order to maximise success, and for this engagement to be achieved equitably across the student body, regardless of demographic backgrounds. This…

This study aims to develop an online-based collaborative project learning model design that can improve students' abilities in developing teaching materials. The method used is research and development. Data collection instruments are questionnaires and rubrics. Data analysis used descriptive statistics. The validation test used the individual…

Traditionally, rubrics were used simply as grading tools to provide marking frameworks that were transparent to students. More recently, rubrics have been promoted as educational tools to inform students of good practice with the assumption that they engage with these rubrics to guide their learning. However, some tensions arise from this…

Fuzzy sets have experienced multiple expansions since their conception to enhance their capacity to convey complex information. Intuitionistic fuzzy sets, image fuzzy sets, q-rung orthopair fuzzy sets, and neutrosophic sets are a few of these extensions. Researchers and academics have acquired a lot of information about their theories and methods…

Effective planning lays the foundations for effective teaching in mathematics (Smith & Stein, 2018). The planning decisions made by teachers are many and varied and ultimately inform what, how and why students learn mathematics (Kilpatrick et al., 2001). Critically, these decisions affect students' opportunities to engage with mathematics in…