01140nas a2200121 4500008004100000245010500041210006900146260000900215520069800224653002300922100001900945856005400964 2022 eng d00aImproving Student Engagement and Connection in Online Learning: Part II, Methodologies and Practices0 aImproving Student Engagement and Connection in Online Learning P c20223 aThe first article in the series appeared last December. Since then, we have received plenty of feedback from other instructors who are actively engaged in online education. Almost all of them agreed that teaching well online remains a challenging task. In this article, I discussed six specific practices that I have found particularly helpful for online teaching and learning.

Practice 1: Adopt a variety of communication methods
Practice 2: Create a Q&A Discussion Board
Practice 3: Estimate the amount of time taken for each assignment
Practice 4: Ensure timely replies
Practice 5: Synchronize assignments with the Canvas calendar
Practice 6: Reorganize course content10aBusiness Analytics1 aChang, Xiaohui uhttps://blogs.oregonstate.edu/inspire/2021/12/07/00850nas a2200121 4500008004100000245009300041210006900134260000900203520033100212653002300543100001900566856014300585 2021 eng d00aImproving Student Engagement and Connection in Online Learning through Proactive Support0 aImproving Student Engagement and Connection in Online Learning t c20213 aXiaohui Chang associate professor of Business Analytics, doesn't hold office hours. She holds "ask me anything hours" as a part of her methods to engage, connect and show empathy for her online students. Her first essay on the Ecampus teaching journey has great tips for all of our increased interactions in the virtual space.10aBusiness Analytics1 aChang, Xiaohui uhttps://blogs.oregonstate.edu/inspire/2021/12/07/improving-student-engagement-and-connection-in-online-learning-through-proactive-support/02324nas a2200157 4500008004100000245009900041210006900140260000900209300001400218490000700232520173700239653002301976100001501999700001902014856013302033 2020 eng d00aImproving Mobile Health Apps Usage: A Quantitative Study on mPower Data of Parkinson's Disease0 aImproving Mobile Health Apps Usage A Quantitative Study on mPowe c2020 a399–4200 v343 aPurpose
The emergence of mobile health (mHealth) products has created a capability of monitoring and managing the health of patients with chronic diseases. These mHealth technologies would not be beneficial unless they are adopted and used by their target users. This study identifies key factors affecting the usage of mHealth apps based on user usage data collected from an mHealth app.

Design/methodology/approach
Using a data set collected from an mHealth app named mPower, developed for patients with Parkinson’s disease (PD), this paper investigated the effects of disease diagnosis, disease progression, and mHealth app difficulty level on app usage, while controlling for user information. App usage is measured by five different activity counts of the app.

Findings
The results across five measures of mHealth app usage vary slightly. On average, previous professional diagnosis and high user performance scores encourage user participation and engagement, while disease progression hinders app usage.

Research limitations/implications
The findings potentially provide insights into better design and promotion of mHealth products and improve the capability of health management of patients with chronic diseases.

Originality/value
Studies on the mHealth app usage are critical but sparse because large-scale and reliable mHealth app usage data are limited. Unlike earlier works based solely on survey data, this research used a large user usage data collected from an mHealth app to study key factors affecting app usage. The methods presented in this study can serve as a pioneering work for the design and promotion of mHealth technologies.10aBusiness Analytics1 aLi, Jiexun1 aChang, Xiaohui uhttps://dev.business.oregonstate.edu/biblio/improving-mobile-health-apps-usage-quantitative-study-mpower-data-parkinsons-disease