With the rapid growth of online learning at community colleges and the low course completion and performance associated with it, there has been increasing need to identify effective ways to address the challenges in online teaching and learning at this particular setting. Based on open-ended survey responses from 105 instructors and 365 students from multiple community colleges in a state, this study examined instructors’ and students’ perceptions of effective and ineffective instructional practices and changes needed in online coursework. By combining structural topic modelling techniques with human coding, we identified instructional practices that were perceived by both instructors and studentsmore »
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An extensive theoretical and empirical literature stresses the challenges of online learning, especially among students enrolled in open-access institutions who often struggle more due to job and family commitments and a lack of self-regulated learning skills. As online expansion continues in higher education, understanding the specific challenges students encounter in online coursework, and learning strategies that can help them cope with these challenges, can provide valuable insights to be widely shared. Using open-ended survey data collected from 365 students at a state community college system, this study examined students’ perceptions of challenges of online learning that may lead to undesirablemore »
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Developmental education is the most widespread strategies used by colleges to provide academically weak students with additional training in key subject areas. To reduce costs and also to address the large volume of enrollment in these courses, many institutions have replaced traditional face-to-face instruction with online instruction in developmental coursework. This paper examines the impact of fully online instruction, compared with traditional face-to-face instruction, on both concurrent developmental course outcomes, and on downstream outcomes, using a unique administrative dataset from a state community college system that includes longitudinal student-unit record data from more than 40,000 students enrolled in developmental educationmore »
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Little is known regarding the use of, and factors related with, interaction-oriented practices. In this study we investigate instructors’ use of interaction-oriented practices in online college courses. We begin by drawing on several strands of literature to offer a person-purpose interaction framework for categorizing interaction-oriented practices. The framework’s six sub-domains integrate for whom students are interacting (instructor, student, content) with the interaction’s pedagogical purpose (academic, social, managerial). Subsequently, we examine factors that predict instructors’ use of these six domains of practices, including instructors’ characteristics and their perceptions of online learning, using a sample of (n = 126) community college instructorsmore »
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ABSTRACT In recent years, breakthroughs in methods and data have enabled gravitational time delays to emerge as a very powerful tool to measure the Hubble constant H0. However, published state-of-the-art analyses require of order 1 yr of expert investigator time and up to a million hours of computing time per system. Furthermore, as precision improves, it is crucial to identify and mitigate systematic uncertainties. With this time delay lens modelling challenge, we aim to assess the level of precision and accuracy of the modelling techniques that are currently fast enough to handle of order 50 lenses, via the blind analysismore »
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Recommender-as-a-Service with Chatbot Guided Domain-science Knowledge Discovery in a Science GatewayScientists in disciplines such as neuroscience and bioinformatics are increasingly relying on science gateways for experimentation on voluminous data, as well as analysis and visualization in multiple perspectives. Though current science gateways provide easy access to computing resources, datasets and tools specific to the disciplines, scientists often use slow and tedious manual efforts to perform knowledge discovery to accomplish their research/education tasks. Recommender systems can provide expert guidance and can help them to navigate and discover relevant publications, tools, data sets, or even automate cloud resource configurations suitable for a given scientific task. To realize the potential of integration ofmore »
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Abstract The accurate simulation of additional interactions at the ATLAS experiment for the analysis of proton–proton collisions delivered by the Large Hadron Collider presents a significant challenge to the computing resources. During the LHC Run 2 (2015–2018), there were up to 70 inelastic interactions per bunch crossing, which need to be accounted for in Monte Carlo (MC) production. In this document, a new method to account for these additional interactions in the simulation chain is described. Instead of sampling the inelastic interactions and adding their energy deposits to a hard-scatter interaction one-by-one, the inelastic interactions are presampled, independent of the hardmore »Free, publicly-accessible full text available December 1, 2023
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