Societal shifts increasingly demand that people work across social and geographic borders, often virtually, to solve complex problems in the areas of education, environment, healthcare, poverty, technology innovation and ethics, and more. This collaboration requires critical and emancipatory dialogue and problem-solving. This qualitative multiple…

Within the broad, interdisciplinary field of adult education, affective aspects of experience and the roles they play in learning have, thus far, not been properly theorized or researched. This dissertation first explores how John Heron's whole person theory (WPT) conceptualizes feeling as an expansive affective capacity at the root of all human…

The purpose of this qualitative descriptive study was to explore how high school teachers describe problem-based learning as an instructional model for student learning in various academic disciplines in the United States. The research was grounded in constructivist learning theory and Problem-based learning (PBL). The study addressed two research…

This dissertation investigates how collective process-oriented documentation tools, combined with Natural Language Processing (NLP) techniques, can enhance knowledge construction in hands-on, open-ended learning environments, such as makerspaces. Through a three-year design-based research, the study developed and tested a collective documentation…

This applied dissertation was designed to determine if cooperative learning strategies increased student engagement in a virtual elementary classroom. The purposes of this study were (a) to determine whether the implementation of cooperative learning strategies increased student engagement and (b) to explore student perceptions of engagement. In…

The purpose of this qualitative exploratory case study was to explore how The Sims could be used to assist L1 English speakers in learning L2 Russian verbs of motion through completing in-game tasks in pairs while speaking Russian. English and Russian verbs of motion encode manner and path differently, and L2 Russian motion verbs use a variety of…

Contemporary education research seeks causal inferences in order to guide policy and practice. Often well-controlled quasi-experimental and experimental designs are used as they are very useful for supporting and contextualizing causal inferences. Nevertheless, individual studies, even high-quality, resource-intensive randomized controlled trials,…

This study explored the dynamic interplay of social constructivism, game-based learning, and communities of practice in the context of teachers using Minecraft as an educational tool. This study used a teacher survey to collect insights from teachers who use Minecraft and are members of the Minecraft Teachers' Lounge. The research investigated how…

Collaborative learning provides learners with significant opportunities to collaborate on solving problems and creating better products. There has been a growing utilization of adaptive and intelligent systems to support productive learning while promoting collaborative practices. One of the core capabilities of these adaptive and intelligent…

Deep learning techniques are being unified for decision support in various applications. However, it remains challenging to train robust deep learning models, due to the inherent insufficient labeled data that is usually time-consuming and labor-intensive. Self-supervised learning is a feature representation learning paradigm to learn robust…

Previous research has shown the importance of regulating learning and collaboration in instructional design. Moreover, learners often struggle to regulate their learning and collaborate effectively, which can hinder knowledge acquisition and academic achievements. To address these challenges, the Understand, Plan, Monitor, and Reflect (UPMR)…

Problem-solving, collaboration, and adaptability to in-person and virtual environments are critical for success today. Therefore, brick-and-mortar and online instructional models have shifted to ensure that K-12 students are prepared with these skills for 21st-century challenges. Grounded in systems theory, the study examined the inputs,…

Actionability is a critical issue in learning analytics for driving impact in learning, bridging the gap between insights and improvement. This dissertation places actionability at the forefront, integrating it throughout the learning analytics process to fully leverage its potential. The study involves designing, developing, and implementing…

For many learners in the United States, the education system has been dominated by compulsory education that largely ignores the learning that can happen when learners are able to follow their curiosity and explore without significant adult intervention. The research problem was that despite a wide body of literature on the benefits of…

Critical thinking (CT) is widely recognized as an important component for effective instruction and learning. Numerous researchers have studied critical thinking and its impact on students and educational institutions at all levels (Pithers & Soden, 2000). Puig et al. (2019) acknowledged that very little research had been done to capture…