In contrast to normative ethics, which emphasizes determining whether a person or action is good or bad and developing codes to govern individual behaviors, applied ethics focuses on the application of ethics to real-world problems and contexts of practice (Ethics Unwrapped, n.d.). In design-oriented disciplines such as instructional design and…

Various theories and models discuss how instructional designers can develop systems that allow learners to engage in problem-solving. To date, many of these theories and models that guide design often describe how learners engage in meaning-making within a situated context; however, they do not address strategies instructional designers can use to…

The advancement of large language model-based generative artificial intelligence (LLM-based GenAI) has sparked significant interest in its potential to address challenges in computational thinking (CT) education. CT, a critical problem-solving approach in the digital age, encompasses elements such as abstraction, iteration, and generalisation.…

Considering preservice teachers' reflections on their best academic learning experiences, the purpose of this research was to use a problem-solving lens to analyze how preservice teachers were first identifying an educational problem and then suggesting solutions where educational technology could be meaningfully implemented. This research used an…

In organizational anarchies (i.e., public institutions) decisions are typically made by oversight or flight. Decision makers and choice opportunities exist simultaneously but on separate tracks resulting in few problems being solved. This paper presents the findings of a study surveying current literature on organizational anarchy as well as…

Research on how university faculty design courses has been limited and marked by modest detail on faculty design processes. Addressing this gap, seven faculty members supported by an educational developer at a teaching-intensive university used collaborative autoethnography (CAE) to explain how university faculty engage in reflective, iterative…

Computational Thinking (CT) is a problem-solving process applicable across all disciplines. It has been defined as a 21st-century skill (Wing, "Communications of the ACM," 49(3), 33-35, 2006). Unfortunately, little pedagogical research is available to guide teachers and designers when devising a CT course. This study addresses this issue…

Constructing a consensus problem space from extensive qualitative data for an ill-structured real-life problem and expressing the result to a broader audience is challenging. To effectively communicate a complex problem space, visualization of that problem space must elucidate inter-causal relationships among the problem variables. In this…

One hundred years ago, Paul Weiss and Ludwig von Bertalanffy independently proposed that living organisms interact with their environment through systems. In the century that has followed, systems thinking and modeling have grown in tandem with discovery of the vast complexity of the universe at microscopic through astronomic levels. As our…

Educational robotics (ER) has emerged as a novel educational tool that enables students to improve their thinking skills. The study aims to compare the effect of a structured versus an unstructured ER curriculum on students' group metacognition during collaborative problem-solving with ER. The authors' hypothesis is that an unstructured ER…

This paper reviews algorithmic or artificial intelligence (AI) bias in education technology, especially through the lenses of speculative fiction, speculative and liberatory design. It discusses the causes of the bias and reviews literature on various ways that algorithmic/AI bias manifests in education and in communities that are underrepresented…

This study investigated the computational thinking (CT) practices of eight pre-service teachers through their Scratch and Python programs. Conducted within an undergraduate-level computer science education course, students learned CT concepts via parallel instruction in block-based programming (Scratch) and text-based programming (Python). The…

Despite the call for instructional designers to employ design thinking as a means to foster creativity in problem-solving, many students struggle with enacting creative risk. While several studies have been conducted studying how instructional designers engage in problem-solving to contend with project constraints, few have addressed whether this…

Inquiry-based learning has been growing in popularity, but the ill-structured nature of complex problem-solving still has challenges related to how to ensure students learn the content and how to provide feedback. This paper addresses this gap by exploring how open microcredentials can support open-ended learning by providing…

Microlearning is gaining ground in the higher education domain. Despite this trend, there is a lack of evidence of effectiveness when a large number of microlearning units are grouped to form a macrolearning programme. The purpose of this paper is to explore how and why a macrolearning affects students' self-efficacy. The originality of this paper…