An official website of the United States government
This study presents preliminary results of a meta-analysis that examines personalized adaptive learning (PAL) in undergraduate mathematics using evidence gap maps. PAL has been increasingly adopted in the U.S. and may be particularly beneficial to students in mathematic courses such as college algebra and calculus as they serve as gatekeeper courses, especially for those majoring in STEM fields. However, the impact of PAL's use in undergraduate mathematics has yet to be fully explored with meta-analytic methods. This project seeks to advance undergraduate STEM education research by meta-analyzing studies related to the implementation of innovative technological advancements in instruction and, specifically, how PAL intervention impacts students’ success in mathematics—going beyond results from just one institution, one setting, one sample.
more »
« less
A Systematic Review of the Effectiveness of Algebraic Teaching Interventions: A Meta-Analysis and Meta-Synthesis
Algebra has long been recognized as a fundamental component of mathematics education for K-12 students and has been identified as a subject with which students continually struggle. Researchers have utilized various methods across contexts and conditions at the classroom level to improve algebra learning. This systematic review and meta-research (i.e., meta-analysis and meta-synthesis) aims to elucidate which of these efforts are effective, along with the conditions and populations for which they are most effective. In this article, we present our framing for the study under a modified version of the conceptual framework for learning progression, justify selected moderators, and detail our anticipated research process. Conducting meta-research on this topic is essential for providing policymakers, instructors, and researchers with an adequate understanding of the historical landscape of effective practices in algebra instruction.
more »
« less
- Award ID(s):
- 2142659
- PAR ID:
- 10655905
- Publisher / Repository:
- Nordic Journal of Systematic Reviews in Education
- Date Published:
- Journal Name:
- Nordic Journal of Systematic Reviews in Education
- Volume:
- 2
- ISSN:
- 2704-1883
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
More Like this
-
-
In college cybersecurity education, problem-based learning has been introduced to promote student agency in solving a complex problem. However, a dilemma of balancing the student agency persist and previous research has focused on students’ cognitive, metacognitive, and regulatory to enhance the efficacy of PBL. Given the importance of students’ self-awareness of their agency, this study suggests a concept of meta-agency as an essential learner characteristic that influences the effectiveness of student agency in PBL. Four dimensions of meta-agency, perceptions of productive struggle, expectation alignment between instructor and students, strategies for regulating agency, and familiarity with PBL tasks, were qualitatively explored with student interview data. Features of meta-agency and how students’ meta-agency level develop through cybersecurity PBL sessions were further investigated.more » « less
-
There has recently been an increasing interest in computationally-efficient learning methods for resource-constrained applications, e.g., pruning, quantization and channel gating. In this work, we advocate a holistic approach to jointly train the backbone network and the channel gating which can speed up subnet selection for a new task at the resource-limited node. In particular, we develop a federated meta-learning algorithm to jointly train good meta-initializations for both the backbone networks and gating modules, by leveraging the model similarity across learning tasks on different nodes. In this way, the learnt meta-gating module effectively captures the important filters of a good meta-backbone network, and a task-specific conditional channel gated network can be quickly adapted from the meta-initializations using data samples of the new task. The convergence of the proposed federated meta-learning algorithm is established under mild conditions. Experimental results corroborate the effectiveness of our method in comparison to related work.more » « less
-
This protocol is for a study that examines personalized adaptive learning (PAL) of undergraduate students with a focus on mathematics outcomes. This protocol addresses two meta-analytic studies: 1) Examination of PAL within the population of undergraduate students enrolled in mathematics courses broadly (across all mathematics courses with the type of course as a moderator); and 2) Specifically in college algebra, which is a STEM pipeline mathematics course. Undergraduate mathematics courses can be roadblocks to college degree attainment. PAL offers the opportunity to develop mathematical skills in a personalized way, while enabling instructors to identify students’ struggle areas and take remedial action.Partnering with academic librarians, databases likely to index relevant studies were identified, the search strategy was refined, and keywords and subject indexing terms were identified. Titles and abstracts were independently screened by two reviewers. Full-text review is in progress. Retained studies will have data extracted that will allow the results to be meta-analyzed.The standardized mean difference will be the main effect size computed. Multilevel meta-analysis will be used to address the hierarchical data structure. Robust variance estimation will be used to estimate standard errors and hypothesis tests, addressing dependencies of effect sizes within studies. Prediction intervals for effect sizes, for study-average effect sizes, and heterogeneity statistics will be reported. Subgroup analyses will evaluate the relationship between moderators and the magnitude of the effect size. Cochrane’s criteria for assessing the risk of bias in studies with a separate control group will be applied. Reporting bias will be assessed visually with funnel plots.more » « less
-
Rapid advancements in autonomous systems and the Internet of Things have necessitated the development of compact and low-power image sensors to bridge the gap between the digital and physical world. To that end, sub-wavelength diffractive optics, commonly known as meta-optics, have garnered significant interest from the optics and photonics community due to their ability to achieve multiple functionalities within a small form factor. Despite years of research, however, the performance of meta-optics has often remained inferior compared to that of traditional refractive optics. In parallel, computational imaging techniques have emerged as a promising path to miniaturize optical systems, albeit often at the expense of higher power and latency. The lack of desired performance from either meta-optical or computational solutions has motivated researchers to look into a jointly optimized meta-optical–digital solution. While the meta-optical front end can preprocess the scene to reduce the computational load on the digital back end, the computational back end can in turn relax requirements on the meta-optics. In this Perspective, we provide an overview of this up-and-coming field, termed here as “software-defined meta-optics.” We highlight recent contributions that have advanced the current state of the art and point out directions toward which future research efforts should be directed to leverage the full potential of subwavelength photonic platforms in imaging and sensing applications. Synergistic technology transfer and commercialization of meta-optic technologies will pave the way for highly efficient, compact, and low-power imaging systems of the future.more » « less
- Free Publicly Accessible Full Text
-
Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.23865/njsre.v2.6355
