Keeping track of expert teachers: Comparing the affordances of think-aloud elicited by two different video perspectives

2021 ◽  
pp. 101563
Author(s):  
Nora A. McIntyre ◽  
Beth Draycott ◽  
Charlotte E. Wolff
Keyword(s):  
2008 ◽  
Author(s):  
Jeffrey K. Boman ◽  
David P. McCabe ◽  
Amanda E. Sensenig ◽  
Matthew G. Rhodes ◽  
Meghan T. Lee

Author(s):  
Kyung-Jin Ko ◽  
◽  
Dong-Yong Kim ◽  
Young-Ji Lee ◽  
Seung-Hyuk Kwon ◽  
...  
Keyword(s):  

Author(s):  
Liska Yanti Pane ◽  
Kamid Kamid ◽  
Asrial Asrial

This research aims to describe logical thinking process of a logical-mathematical intelligence student. We employ qualitative method to disclose the subject’s learning process. Data are collected by interview and modified think aloud methods. The results show that subject has capability to find and organize problems and data correctly. Subject describes conditions that are needed to do the steps of problem solving strategy. The steps are done systematically until the end of problem solving process.


Author(s):  
Imelda Aisah Sarip ◽  
Kamid Kamid ◽  
Bambang Hariyadi

The aim of this research is to describe creative thinking process of linguistic type student in biology problem solving. This research is conducted to linguistic intelligence type of subject at SMPN 6 Kota Jambi. SL the subject was selected based on the aim of the research. Data collection is conducted by interview and a modified think aloud method. Data is analyzed based on creative thinking process purposed by Polya.The result of this research shows that SL could find and arrange the given problems and collect data correctly and appropriately. The problem solving steps is done systematically to the end of problem solving process. The last steps problem solving, SL does checking while doing scratching to make sure that the written answers meet her need.


2021 ◽  
Vol 38 (3) ◽  
pp. 85-93
Author(s):  
Kathleen E. Wage ◽  
John R. Buck ◽  
Jill K. Nelson ◽  
Margret A. Hjalmarson
Keyword(s):  

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 917.2-917
Author(s):  
C. Mccallum ◽  
M. Campbell ◽  
M. Higgs ◽  
J. Vines ◽  
T. Rapley ◽  
...  

Background:Sjögren’s syndrome (SS) is a rheumatic disease requiring self-management which may be delivered through smartphones. When developing digital interventions it is important to review what is already available (market segmentation)1to identify unique selling points and aid uptake and adoption. While there are no dedicated SS apps, many are publicly available for other rheumatic conditions2. Understanding user preferences for existing apps may help to design an engaging app for SS self-management.Objectives:To explore apps targeting SS symptoms of dryness, sleep disturbances, fatigue and pain. To explore views of people with SS on these app features.Methods:Apple Store apps were retrieved on 04 March 2019 using the following search terms:dry, dry eye, sleep, insomnia, fatigue, tirednessandpain. Included apps were English and in Medical or Health & Fitness genres. Exclusion criteria were; duplicates, additional external devices required and apps targeting alcohol reduction or children.Included apps were grouped by symptom. App descriptions were open-coded to generate a thematic coding framework (i.e. full list of features) for each symptom which was then applied to all app descriptions. To obtain views of people with SS, several of the reviewed apps for each symptom covering the full list of features were given to 13 focus group participants to use in ‘think aloud’ sessions (n=4). Audio data was recorded, transcribed and deductively analysed using the framework to gather opinions relating to each feature.Results:Of 914 apps retrieved, 542 were included. Features within apps targeting dryness (n=15) provided dry eye information, self-assessment and reminders to blink or look away from screens. Apps targeting sleep (n=310) included features to support sleep restriction, sleep hygiene, sleep tracking (sleep onset and wake up times, time in bed, overall sleep quality), relaxing sounds, guided meditation, sleep stories, snore recording and alarms. Fatigue apps (n=79) included features to detect current physical and mental fatigue levels, support pacing (i.e. track fatigue, label tasks as ‘high energy’, prioritise tasks), and self-massage instructions. Apps targeting pain (n=138) featured pain tracking (of severity, affected body areas), guided exercises, and mindfulness.Dryness apps prompted participants to reflect on its impact on daily activities, but further dryness features were desired relating to: using a humidifier; eye drop reminders; and dryness tips for other body areas e.g. vaginal dryness. Sleep restriction features were believed to be irrelevant but viewing and selecting sleep hygiene tips to “try” were considered useful. Beyond entering sleep onset and wake up times, participants wished to track “when and why I woke up”, to understand night awakenings in relation to other symptoms. Fatigue detection features were felt to be more useful for those recently diagnosed, as experienced participants could easy identify when they were fatigued (“I don’t need an app to tell me!”). Participants valued pacing features but found them difficult to use. Daily pain tracking was considered demotivating, but useful for remembering and explaining issues to healthcare professionals. Participants believed that a dedicated app for SS would support self-management and raise SS awareness.Conclusion:Existing apps targeting SS symptoms do not meet the needs of those with SS. App features should be tailored to SS by supporting dryness management in body areas beyond eyes, and night-awakenings. Pacing features must be easy to use. The ability to track pain should be optional and tracking prompts should be limited. Design considerations should be implemented alongside evidence-based behaviour change techniques to support self-management.References:[1] Araújo-Soares, V. et al (2019).European Psychologist,24(1), 7[2] Knitza, J., et al (2019).JMIR mHealth and uHealth,7(8), e14991Acknowledgments:Versus Arthritis (Grant 22026)Disclosure of Interests:None declared


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