Differences in Task Descriptions in the Think Aloud Test

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.

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Proses Berpikir Kreatif Siswa Tipe Linguistik dalamPemecahan Masalah Biologi

Edu-Sains: Jurnal Pendidikan Matematika dan Ilmu Pengetahuan Alam ◽

10.22437/jmpmipa.v2i2.1667 ◽

2014 ◽

Vol 2 (2) ◽

Author(s):

Imelda Aisah Sarip ◽

Kamid Kamid ◽

Bambang Hariyadi

Keyword(s):

Problem Solving ◽

Data Collection ◽

Creative Thinking ◽

Research Data ◽

Think Aloud ◽

The Subject ◽

Thinking Process ◽

Problem Solving Process ◽

The Given

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.

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What Were They Thinking?: Refining Conceptual Assessments Using Think-Aloud Problem Solving

IEEE Signal Processing Magazine ◽

10.1109/msp.2021.3060382 ◽

2021 ◽

Vol 38 (3) ◽

pp. 85-93

Author(s):

Kathleen E. Wage ◽

John R. Buck ◽

Jill K. Nelson ◽

Margret A. Hjalmarson

Keyword(s):

Problem Solving ◽

Think Aloud

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Assessing pragmatic competence in oral proficiency interviews at the C1 level with the new CEFR descriptors

Lodz Papers in Pragmatics ◽

10.1515/lpp-2020-0005 ◽

2020 ◽

Vol 16 (1) ◽

pp. 87-121

Author(s):

Bárbara Eizaga-Rebollar ◽

Cristina Heras-Ramírez

Keyword(s):

Rating Scales ◽

Rating Scale ◽

Oral Proficiency ◽

Pragmatic Competence ◽

Task Characteristics ◽

The Common ◽

Task Descriptions ◽

Oral Proficiency Interviews ◽

Task Types ◽

And Task

AbstractThe study of pragmatic competence has gained increasing importance within second language assessment over the last three decades. However, its study in L2 language testing is still scarce. The aim of this paper is to research the extent to which pragmatic competence as defined by the Common European Framework of Reference for Languages (CEFR) has been accommodated in the task descriptions and rating scales of two of the most popular Oral Proficiency Interviews (OPIs) at a C1 level: Cambridge’s Certificate in Advanced English (CAE) and Trinity’s Integrated Skills in English (ISE) III. To carry out this research, OPI tests are first defined, highlighting their differences from L2 pragmatic tests. After pragmatic competence in the CEFR is examined, focusing on the updates in the new descriptors, CAE and ISE III formats, structure and task characteristics are compared, showing that, while the formats and some characteristics are found to differ, the structures and task types are comparable. Finally, we systematically analyse CEFR pragmatic competence in the task skills and rating scale descriptors of both OPIs. The findings show that the task descriptions incorporate mostly aspects of discourse and design competence. Additionally, we find that each OPI is seen to prioritise different aspects of pragmatic competence within their rating scale, with CAE focusing mostly on discourse competence and fluency, and ISE III on functional competence. Our study shows that the tests fail to fully accommodate all aspects of pragmatic competence in the task skills and rating scales, although the aspects they do incorporate follow the CEFR descriptors on pragmatic competence. It also reveals a mismatch between the task competences being tested and the rating scale. To conclude, some research lines are proposed.

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Understanding the decision‐making of critical care nurses when restraining a patient with psychomotor agitation secondary to hyperactive delirium: A ‘Think Aloud’ study.

Journal of Clinical Nursing ◽

10.1111/jocn.15889 ◽

2021 ◽

Author(s):

Angela Teece ◽

John Baker ◽

Helen Smith

Keyword(s):

Decision Making ◽

Critical Care ◽

Critical Care Nurses ◽

Think Aloud ◽

Psychomotor Agitation

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FRI0625-HPR APPS TARGETING SYMPTOMS ASSOCIATED WITH SJÖGREN’S SYNDROME AND POTENTIAL USERS’ PERCEPTIONS OF THEIR FEATURES: CONTENT ANALYSIS AND THINK ALOUD STUDY

Annals of the Rheumatic Diseases ◽

10.1136/annrheumdis-2020-eular.997 ◽

2020 ◽

Vol 79 (Suppl 1) ◽

pp. 917.2-917

Author(s):

C. Mccallum ◽

M. Campbell ◽

M. Higgs ◽

J. Vines ◽

T. Rapley ◽

...

Keyword(s):

Dry Eye ◽

Sleep Onset ◽

Sleep Hygiene ◽

Sjogren’S Syndrome ◽

Sjogren's Syndrome ◽

Self Management ◽

Sleep Restriction ◽

Think Aloud ◽

Full List ◽

Sjögren‘S Syndrome

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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