Project description:With a motivation to immerse students in engineering design, graphics communication, and computer aided design (CAD) skills early-on in the biomedical engineering curriculum, we launched a new 2-unit laboratory course on "Graphics Design in BME" in the Spring 2020 quarter for UC Davis sophomores. Due to the COVID-19 pandemic, the course met with the significant challenge of conversion to an online mode of teaching, instead of planned face-to-face instruction. Providing formative feedback was thought to be an important step to help students succeed in their final CAD project of the course. In the process of designing feedback, we found that the concept of feedback is still fragile in an online learning environment because online learning settings provide distinct pedagogical demands as compared to face-to-face settings. The situation is especially delicate in the context of contemporary higher education imparting engineering skills, where students attend large classes, with diminished opportunities to interact with the teaching staff. The challenge we faced was to provide meaningful dialogic feedback in an online environment, especially while teaching engineering graphics design to a large class. Here we addressed this challenge by focusing on the process of structuring meaningful feedback. We designed a project assignment to be submitted as multiple deliverables to be submitted in two-stages. Then, we characterized its feedback with multiple notions, such as dialogic iterative cycles, personalized, goal-directed, immediate, in written format, and having a peer assessment component. The process of providing formative feedback online through the structure mentioned in this paper resulted in students' improved scores on the final project elements. It also helped us identify the common issues students are faltering in a graphics design class, and provide customized guidance, ideal examples of expected work, and more resources to motivate each student group to achieve mastery of course content.Supplementary informationThe online version contains supplementary material available at 10.1007/s43683-021-00046-z.
Project description:The importance of online learning in higher education settings is growing, not only in wake of the Covid-19 pandemic. Therefore, metrics to evaluate and increase the quality of online instruction are crucial for improving student learning. Whereas instructional quality is traditionally evaluated with course observations or student evaluations, course syllabi offer a novel approach to predict course quality even prior to the first day of classes. This study develops an online course design characteristics rubric for science course syllabi. Utilizing content analysis, inductive coding, and deductive coding, we established four broad high-quality course design categories: course organization, course objectives and alignment, interpersonal interactions, and technology. Additionally, this study exploratively applied the rubric on 11 online course syllabi (N = 635 students) and found that these design categories explained variation in student performance.
Project description:The design of faculty development courses requires a contextually aware theoretical foundation. Therefore, the study aimed to determine the feasibility of a specific conjecture map as a model for designing online health professions education faculty development courses in sub-Saharan Africa through a heuristic evaluation approach. The authors hypothesise that using heuristic evaluation strengthens an educational model's theoretical basis and feasibility.Twenty-five health professions educators from nine sub-Saharan African countries participated in this multi-phased study. In the first phase, the participants completed a survey evaluating the model and the accompanying author-generated heuristics. Then, participants' recommendations were used to make revisions. In the subsequent phase, participants reviewed these revisions and commented on the feasibility of the model within their local context.All six heuristics were revised following the initial phase, where 80 problems had been identified. Upon revision, the model was deemed feasible by all except one participant. There was a strong relationship and inter-rater agreement of feasibility between 0.84 and 0.95 regarding the model's practicality, demand, acceptability, and adaptability. Revisions to the final model and guidance documents incorporated all changes the participants recommended, confirming the model's feasibility.Theoretical models are often developed through a top-down approach, omitting the practice-based considerations that could change the formulation of the model. This study demonstrates the convergence of a theoretical and process model with theoretical, expert and end-user data triangulation. Further research is needed to test this empirically developed model.
Project description:The teaching of the optimization algorithm is a new kind of swarm intelligence optimization technique, which is superior in optimizing many simple functions. Still, it is not evident in processing some complex problems (group and teaching classification). Achieving automatic matching and knowledge transfer in online courses is imperative in mathematics education. This study proposes a design scheme MTCBO-LR (multiobjective capability optimizer-logistic regression), based on multitask optimization, which enables precise knowledge transfer and data interaction among many educators. It incorporates the standard TLBO algorithm to optimize, provides a variety of learning tactics for students at different stages of mathematics instruction, and is capable of adaptively adjusting these strategies in response to actual teaching needs. Experimental results on various datasets reveal that the proposed method enhances searchability and group diversity in various optimization extremes and outperforms similar methods in resolving to multitask teaching problems.
Project description:The use of online instruction for undergraduate STEM courses is growing rapidly. While researchers and practitioners have access to validated instruments for studying the practice of teaching in face-to-face classrooms, analogous tools do not yet exist for online instruction. These tools are needed for quality design and control purposes. To meet this need, this project developed an observational protocol that can be used to collect non-evaluative data for the description, study, and improvement of online, undergraduate STEM courses. The development of this instrument used a sequential exploratory mixed methods approach to the research, design, pilot-testing, refinement and implementation of the protocol. Pairs of researchers tested the final version of this instrument, observing completed online undergraduate STEM courses. Across 2,394 pairs of observations, the observers recorded the same indication (yes or no to the presence of some course element) 1,853 times for an agreement rate of 77.4%, falling above the 75% threshold for an acceptable level of agreement. There was a wide range in the inter-rater reliability rates among items and further revisions were made to the instrument. This foundational work-in-progress instrument should be further developed and used by practitioners who are interested in learning about and reflecting on their online teaching practice.
Project description:Background: Implementing ecological momentary assessment (EMA) methodology to evaluate the substance use disorder (SUD) treatment pipeline has clear advantages, including learning about participants' day-to-day experiences to aid in the improvement of services and accessibility for those seeking treatment. Given that the SUD treatment pipeline spans long periods of time, EMA burst designs (deployment of multiple short EMA periods spread over time) can be advantageous for evaluating the treatment pipeline over time while keeping participant burden low.Objectives: This feasibility study describes (1) the process and study design of implementing EMA burst methodology to evaluate the SUD treatment pipeline experience; (2) study implementation from the perspective of researchers, including discussion of collaboration with community partners; and (3) participant feedback on the experience of engaging with this type of research.Method: EMA metrics, feasibility ratings, and general experience ratings in the study are presented from 22 participants (64% women) who participated in a parent EMA study evaluating the SUD treatment pipeline and 8 who provided feedback in a follow-up survey.Results: Participants found the EMA burst design to be acceptable and not burdensome, although technology issues were present for some participants. Steps to partnering with community treatment programs and implementation of a burst design are outlined.Conclusions: Strategies and recommendations for implementation of an EMA burst study with community partners are provided, including aspects of study design, technology issues, retention, and funding.
Project description:This article explains the design and construction of an affordable, open-source robot arm for online teaching of robotics courses. The main goal of the proposed robotic prototype is to deal with the current situation of pandemic contingency, where students and instructors cannot attend laboratory facilities in person. The robotic system has four main components: an electromechanical robot arm structure, a control system, a Wi-Fi communications module, and a human-machine interface. The IoT (Internet of Things) robot arm can be used to demonstrate important robotics topics such as direct and inverse kinematics, which are shown by programming simple and complex motions using the Denavit-Hartenberg (DH) methodology. The capabilities of the robotic system are empowered by IoT technology, which is demonstrated with an HMI interface deployed in a smartphone using wireless Wi-Fi communication through an ESP32 microcontroller. The arm's purpose is to be a low-cost and replicable robot that aids the comprehension of robotics design through project-based learning, from the theoretical aspects to the actual coding and construction of a prototype.
Project description:This paper aims to survey language teaching MOOCs that promote intercultural competence (IC). Specifically, the survey aims to identify the keywords most relevant to MOOCs with IC components, the languages taught, the offering countries, and the embedded soft skills. The selection of keywords is important because they can indicate connection between different disciplines. After trialing a broader set of keywords in several rounds of initial search, we identified five keywords that are the most relevant to language education with IC components on MOOCs: culture, intercultural, cross culture, multi culture, and society. Then courses with these five keywords on language learning are selected for further analysis. The results are summarized as follows: (1) Most language teaching MOOCs are found under the keyword "culture," indicating a strong connection between language education and intercultural communication; (2) In terms of the target languages and the offering countries, it is found that English, Chinese, and Spanish are the major languages widely taught in the context of intercultural competence; China, United States, and Ireland are the three countries which offer the highest numbers of MOOCs in this respect; United States, United Kingdom, and Australia are the three countries which offer the highest numbers of MOOCs of different languages. The results indicate that a limited number of languages and offering countries dominate the language learning MOOCs. The study calls for a plurality of languages and cultures to be taught through MOOCs, making more diversified knowledge systems accessible to global audiences. (3) The language teaching MOOCs not only focus on language but also aim to foster five types of soft skills (language learning skills, communication skills, business and entrepreneurship skills, career development skills, and cultural development skills), suggesting that intercultural competence and its related soft skills are usually important components embedded in such MOOCs courses.
Project description:The data presented in this article are based on provides a systematic and organized review of 219 studies regarding using of Massive Open Online Courses (MOOCs) in higher education from 2012 to 2017. Consequently, the extant, peer-reviewed literature relating to MOOCs was methodically assessed, as a means of formulating a classification for MOOC-focused scholarly literature. The publication journal, country of origin, researchers, release data, theoretical approach, models, methodology and study participants were all factors used to assess and categorise the MOOC. These data contribute to materials required by readers who are interested in different aspects related to the literature of using Massive Open Online Courses (MOOCs) in higher education. Intention to use, interaction, engagement, motivations and satisfaction were five dynamics assessed in relation to the improvement of MOOCs. Students' academic performance can be influenced by MOOC which has the advantage of facilitating the learning process through offering materials and enabling the share of information.
Project description:In many offline studies, children show selectively better comprehension of sentences with the focus particle only when it modifies the object argument (Jane only ate an apple) than they do when it modifies the subject argument (Only Jane ate an apple). Here we explore the nature of this asymmetry by examining performance in a different kind of task: the moment-to-moment comprehension of unambiguous sentences. If past errors reflect a fundamental difference in representation or complexity of computation, we would expect the same asymmetry in this task. We observed that adults were able to successfully predict the target referent for both types of only-sentences, as indicated by anticipatory looks, while 6- to 8-year-old children could do so only for subject-modifying only-sentences. These findings suggest that much of the asymmetry in past work may be due to task demands. We discuss the implications of these results for children's syntactic and pragmatic development.