COMPUTER-ASSISTED INSTRUCTION ON STUDENTS’ ACADEMIC ACHIEVEMENT AND ENGAGEMENT IN SCIENCE

This study determined the students’ academic achievement and engagement in science. A quasi-experimental research design was utilized. The study results showed that students exposed to CAI obtained “fairly satisfactory” results in the post-test, while those exposed to non-CAI showed “needs improvements” both in the pretest and post-test. Moreover, for students’ engagement in science, the CAI group had a high engagement level for affective, cognitive, and behavioral domains. In contrast, the non-CAI group had moderate engagement before and after the intervention. The students’ academic performance in science exposed to CAI is significantly higher than those exposed to non-CAI. Also, there is a significant difference in students’ engagement level for a cognitive domain in favor of CAI. It is concluded that CAI as a science learning tool enhances the students’ cognitive engagement.

Algorithmic Opportunity Structures and the Dynamics of Online Activism: Far-Right Mobilization on Facebook

This paper introduces the concept of algorithmic opportunity structures to explore how the efficacy of online activism is contingent on the interaction between algorithms, activists, and audiences. In particular, I examine how far-right actors have gamed ranking and recommendation algorithms by producing content designed to generate high engagement rates. This tactic attracts algorithmic amplification, increasing their visibility and reach on social media. I consider the case of Britain First, a far-right, anti-Muslim movement that used Facebook to rapidly build the largest audience of any political organization in the United Kingdom. I use digital trace data, time series analysis, and topic modeling to study Britain First’s activity, recruitment, and support on Facebook. I identify dynamic equilibria indicative of algorithmically-mediated feedback loops, highlighting how variation in these processes is largely a function of user engagement. The content of the group’s posts and exogenous events, including elections and terrorist attacks, are also associated with short-term fluctuations in online mobilization. The results suggest that Britain First’s success is attributable to its exploitation of Facebook’s algorithms, demonstrating how technological assemblages designed and controlled by corporations can structure political competition and moderate opportunities for activism.

THE ASSESSMENT OF INSTAGRAM EFFECTIVENESS AS MARKETING TOOLS ON INDONESIA FASHION LOCAL BRAND

Fashion local brands are brands of fashion clothing local to a particular country, manufactured and produced locally, including the ones in Indonesia. Fashion is always developing and creating the latest trend in which is a big potential for local fashion brands to take this opportunity because consumers are becoming more selective when it comes to selecting superior, long-lasting, and practical products. In Indonesia, the Fashion Industry is one of the subs that contribute to the creative industry, accounted for 28.29% of the whole creative industry, and ranked 9th in the Global Revenue Ranking. In addition, the current pandemic condition has pushed many brands to close retail stores and switched to almost entirely digital operations. Among many social media platforms used by brands, Instagram has been identified as the most efficient tool for reaching out to customers and marketing a business. However, the way local fashion brands use Instagram as a marketing tool has not always been effective. This research aims to assess the effectiveness factors of Instagram in local fashion brands that have a high engagement in purpose to make them as the benchmarks about the content strategy in building high online engagement that makes Instagram as a marketing tool effective. The data was collected through Instagram analytics software, HypeAuditor, and Analisa.io towards a total of 50 Instagram account fashion local brands with a high number of engagements according to HypeAuditor Instagram Engagement Rate Calculator. The data analysis is processed using Microsoft Excel and Smart PLS. The result shows that all independent variables have a positive relationship to online engagement and the effective factors for local fashion brand Instagram accounts are Entertainment, Tag, Weekdays, and Peak hours factors. The brand could utilize posting feeds containing entertainment and information content while also posting it during peak hours and weekdays.

Resilience Profiles Associated with Social Support and Engagement for Overcoming Academic Obstacles in Undergraduate Education

The main objective of this work was to explore the configuration of those elements that allow students to better adapt to university environments and persist even in the presence of difficulties. The sample consisted of 371 undergraduate students (60% female), of low socioeconomic level, enrolled in public universities in the Caribbean region of Colombia. The methodological approach was based on a cluster analysis, in which, using the hierarchical agglomerative method, groups were extracted according to their similar characteristics of resilience in 12 dimensions assessed by the SV-RES scale and subsequent analyses of variance reported how each style was associated with engagement, and with a particular constitution of personal support networks, assessed respectively with the UWES-S scale, and from a square matrix of reticular data on the social networks of each participant. The results showed four profiles of students, characterized by: a) low resilience, high engagement, and strong support networks; b) resilience with low engagement, and dispersed support networks; c) resilience with high autonomy, intermediate levels of engagement, and weak support networks; and d) resilience, high engagement, and strong social support networks.

Study Engagement and Burnout of the PhD Candidates in Medicine: A Person-Centered Approach

This study focused on exploring individual variations in doctoral candidates’ well-being, in terms of experienced research engagement and burnout by using a person-centered approach. In addition, the associations between well-being profiles and gender, country of origin, study status (full-time or part-time), research group status and drop-out intentions were explored. The participants were 692 PhD candidates in the field of medicine. Latent profile analysis was employed to identify the well-being profiles. Four distinct profiles were identified: high engagement–low burnout, high engagement–moderate burnout, moderate engagement–moderate burnout, and moderate engagement–high burnout. Working in a clinical unit or hospital and working in a research group seemed to be related to increased engagement and reduced risk for suffering burnout, while the intentions to quit one’s doctoral studies were more frequently reported in profiles with moderate levels of engagement. The findings imply that although a significant number of PhD candidates in medicine had an increased risk for developing burnout, for most of the PhD candidates research education is an engaging experience.

The impact of participant mental health on attendance and engagement in a trial of behavioural weight management programmes: secondary analysis of the WRAP randomised controlled trial

Background Low attendance and engagement in behavioural weight management trials are common. Mental health may play an important role, however previous research exploring this association is limited with inconsistent findings. We aimed to investigate whether mental health was associated with attendance and engagement in a trial of behavioural weight management programmes. Methods This is a secondary data analysis of the Weight loss referrals for adults in primary care (WRAP) trial, which randomised 1267 adults with overweight or obesity to brief intervention, WW (formerly Weight Watchers) for 12-weeks, or WW for 52-weeks. We used regression analyses to assess the association of baseline mental health (depression and anxiety (by Hospital Anxiety and Depression Scale), quality of life (by EQ5D), satisfaction with life (by Satisfaction with Life Questionnaire)) with programme attendance and engagement in WW groups, and trial attendance in all randomised groups. Results Every one unit of baseline depression score was associated with a 1% relative reduction in rate of WW session attendance in the first 12 weeks (Incidence rate ratio [IRR] 0.99; 95% CI 0.98, 0.999). Higher baseline anxiety was associated with 4% lower odds to report high engagement with WW digital tools (Odds ratio [OR] 0.96; 95% CI 0.94, 0.99). Every one unit of global quality of life was associated with 69% lower odds of reporting high engagement with the WW mobile app (OR 0.31; 95% CI 0.15, 0.64). Greater symptoms of depression and anxiety and lower satisfaction with life at baseline were consistently associated with lower odds of attending study visits at 3-, 12-, 24-, and 60-months. Conclusions Participants were less likely to attend programme sessions, engage with resources, and attend study assessments when reporting poorer baseline mental health. Differences in attendance and engagement were small, however changes may still have a meaningful effect on programme effectiveness and trial completion. Future research should investigate strategies to maximise attendance and engagement in those reporting poorer mental health. Trial registration The original trial (ISRCTN82857232) and five year follow up (ISRCTN64986150) were prospectively registered with Current Controlled Trials on 15/10/2012 and 01/02/2018.

Development of at-home sample collection logistics for large-scale seroprevalence studies

Background Serological studies rely on the recruitment of representative cohorts; however, such efforts are specially complicated by the conditions surrounding the COVID19 pandemic. Methods We aimed to design and implement a fully remote methodology for conducting safe serological surveys that also allow for the engagement of representative study populations. Results This design was well-received and effective. 2,066 participants ≥18 years old were enrolled, reflecting the ethnic and racial composition of Massachusetts. >70% of them reported being satisfied/extremely satisfied with the online enrollment and at-home self-collection of blood samples. While 18.6% reported some discomfort experienced with the collection process, 72.2% stated that they would be willing to test weekly if enrolled in a long-term study. Conclusions High engagement and positive feedback from participants, as well as the quality of self-collected specimens, point to the usefulness of this fully remote, self-collection-based study design for future safer and efficient population-level serological surveys.

Do high engagement Instagram images influence presidential candidate evaluation? The moderating effect of familiarity

PurposeThis paper aims to examine how exposure to a presidential candidate's high engagement Instagram images influences a citizen's candidate evaluations.Design/methodology/approachData were collected via Amazon MTurk. A 3 × 2 experimental design was employed to test the persuasive effect of exposure of the “most liked” and “most commented on” images of the top four 2016 US presidential primary candidates on a US citizen's candidate evaluation.FindingsResults reveal that highly engaging Instagram images of unfamiliar presidential candidates positively influenced candidate evaluations. However, the same was not true for more well-known presidential candidates.Research limitations/implicationsThis study was not conducted during a live campaign and only examined four of the top 2016 presidential primary candidates.Practical implicationsThe research includes implications for marketers seeking to increase engagement and reach in Instagram marketing campaigns. This study shows that even brief exposure to a highly engaged post involving an unfamiliar person/product on social media can significantly alter evaluations of that person or product.Originality/valueTo the authors' knowledge, no experimental designs have addressed how Instagram posts influence users' political attitudes and behaviors within the political marketing and communications literature.