This non-experimental causal-comparative study aims to explore the possible effect of expertise on learning experience design (LXD) deviation identification and the classification of these deviations in alignment with provided learning experience design constructs within a learning technology. Additionally, this study challenges Nielsen's (1993)…

Since 2010, gamification, a concept and practice, gained attention in academic research. Results of its effectiveness were mixed and often lacked the use of grounded models or frameworks. Dichev et al. (2019b) proposed the existence of demotivational factors and highlighted two distinct sets of motivational drivers--one linked to game elements and…

This research strongly suggests that essentially all children with the skill of generalized matching can learn receptive identification, even if they have failed to do so, using the standard least-to-most prompting procedure. The effective alternative procedures were antecedent picture prompting (Stone & Malott, 2010), consequence picture…

Instruction facilitating the abstraction and transfer processes necessary for deep conceptual understanding is notoriously difficult. Individual differences in learning strategies are one possible explanation for variation in transfer outcomes. Prior work has shown that rule-abstraction learning strategies facilitate knowledge transfer better than…

The purpose of this meta-analysis was to investigate the effectiveness of the use of games as part of mathematics instruction on academic achievement in grades Kindergarten to 12 in the United States. There were 17 studies selected for investigation published from 2010 to 2023 that focused on game-based learning and mathematics. This meta-analysis…

To meet the national and international call for creative and innovative engineers, many engineering departments and classrooms are striving to create more authentic learning spaces where students are actively engaging with design and innovation activities. For example, one model for teaching innovation is Innovation-Based Learning (IBL) where…

Reclassification is a crucial educational student outcome when a school system determines that a student is English proficient and ready for mainstream instruction without language support services (Umansky et al., 2020). This study examined the relationship between crucial and complex language ideologies of dual language teachers and the…

Given the literature review on over and under representation of ELL students in Special Education, this research aimed to study how teachers identify between ELL students who present with language proficiency learning difficulties and students who might exhibit learning disabilities. This qualitative study added to existing literature on…

Dialogue act (DA) classification plays an important role in understanding, interpreting and modeling dialogue. Dialogue acts (DAs) represent the intended meaning of an utterance, which is associated with the illocutionary force (or the speaker's intention), such as greetings, questions, requests, statements, and agreements. In natural language…

The United States higher education institutions' mission is to support students' academic success and career development goals by preparing them to become globally competent citizens and workforce-ready graduates. With student workforce preparation at the core of their mission, there is concern that colleges and universities are not adequately…

The research in this dissertation consists of two parts: An active learning algorithm for hierarchical labels and an embedding-based retrieval algorithm. In the first part, we present a new approach for learning hierarchically decomposable concepts. The approach learns a high-level classifier (e.g., location vs. non-location) by separately…

This qualitative case study examined the complicated process that School Building Learning Communities (SBLCs) navigated in regard to the pre-referral process due to the pandemic. Rooted in the theories of John Dewey (2018) and Howard Gardner (1996), this research was conducted by way of interviews and a reflective journal of 12 educational…

Research on video activity detection has primarily focused on identifying well-defined human activities in short video segments. The majority of the research on video activity recognition is focused on the development of large parameter systems that require training on large video datasets. This dissertation develops a low-parameter, modular…

This research captures the experiences of high school graduates who were labeled English Learners while they were enrolled in a public high school in the greater Sacramento area of California. The study examined what these bilingual high school graduates report as beneficial and detrimental experiences faced while completing the course…

In education, machine learning (ML), especially deep learning (DL) in recent years, has been extensively used to improve both teaching and learning. Despite the rapid advancement of ML and its application in education, a few challenges remain to be addressed. In this thesis, in particular, we focus on two such challenges: (i) data scarcity and…