A rich body of empirically grounded results and a solid theory base have often been viewed as signs of a mature discipline. Many disciplines have frequently debated what they should accept as legitimate kinds of theories, the proper roles of theory, and appropriate reference disciplines. Computing education research (CER) in particular has seen a…

In this article, I present a new conceptual framework constructed using sensemaking theory and Actor-Network Theory (ANT) to demonstrate layers of policy enactment. The framework reimagines policy enactment as a sociomaterial ethico-political activity by considering the factors that mediate policy enactment and the assemblages facilitating the…

This article introduces my C.H.A.T.S. model (Conversational, Holistic, Authentic, Transformative, Situated), a novel pedagogical framework I designed to revolutionize language learning and teaching through the strategic integration of Artificial Intelligence (AI) and conversational chatbots with established learning theories. The model addresses…

This article presents an 8P theoretical framework for understanding creativity and theories of creativity. The 8Ps are purpose, press, person, problem, process, product, propulsion, and public. The article opens by distinguishing between a theory and a model, on the one hand, and a theoretical framework, on the other. It then considers briefly…

Before creating and implementing a new program of research, it is necessary to consider a theoretical or conceptual framework to guide this planning process. Considering there are many models and frameworks available in terms of directing the development of research programs (e.g., the program development model, the logic model), researchers want…

In response to the evolving landscape of language education, the "Dynamic Language Learning Framework" is conceived as a progressive pedagogical approach informed by key principles from notable works in the field. Inspired by the communicative language teaching philosophy proposed by Hymes (1971) and expanded upon by Canale and Swain…

Research on inclusive education has gained major importance over the last decade. However, in the English-speaking discourse, empirical studies on inclusive teaching and learning often lack connections to existing educational theories that focus on the interrelation of teachers, learners and content as the three focal points of teaching and…

Popular item response theory (IRT) models are considered complex, mainly due to the inclusion of a random factor variable (latent variable). The random factor variable represents the incidental parameter problem since the number of parameters increases when including data of new persons. Therefore, IRT models require a specific estimation method…

In 2006, after receiving the Division 15 Career Award, Alexander delivered a keynote address entitled "Evolution of a Learning Theory: A Case Study." This presentation was a clarion call for greater respect for and attention to scientific speculation in educational psychology as a critical component in theory building. To build her case,…

This paper presents the item and test information functions of the Rank two-parameter logistic models (Rank-2PLM) for items with two (pair) and three (triplet) statements in forced-choice questionnaires. The Rank-2PLM model for pairs is the MUPP-2PLM (Multi-Unidimensional Pairwise Preference) and, for triplets, is the Triplet-2PLM. Fisher's…

Logic modeling, the process that explicates how programs are constructed and theorized to bring about change, is considered to be standard evaluation practice. However, logic modeling is often experienced as a transactional, jargon-laden, discrete task undertaken to produce a document to comply with the expectations of an external entity, the…

Dynamic Item Response Models extend the standard Item Response Theory (IRT) to capture temporal dynamics in learner ability. While these models have the potential to allow instructional systems to actively monitor the evolution of learner proficiency in real time, existing dynamic item response models rely on expensive inference algorithms that…

Random item effects item response theory (IRT) models, which treat both person and item effects as random, have received much attention for more than a decade. The random item effects approach has several advantages in many practical settings. The present study introduced an explanatory multidimensional random item effects rating scale model. The…

This article looks to explore four emergent themes from this special issue focused on the leadership learning framework: culturally relevant and socially just leadership foundations, intentional and unintentional leadership learning and socialization, the interconnectedness of each aspect of the leadership learning framework and using the…

Efklides and colleagues developed the Metacognitive and Affective model of Self-Regulated Learning (MASRL) to provide a comprehensive theoretical framework of self-regulated learning (SRL). The distinguishing feature of MASRL is that it stresses metacognitive experiences and other subjective experiences (e.g., motivational, affective) as critical…