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Literature review on co-located collaboration modeling using multimodal learning analytics. Can we […] Praharaj, Sambit; Scheffel, Maren; Drachsler, Hendrik; Specht, Marcus Zeitschriftenbeitrag | In: IEEE Transactions on Learning Technologies | 2021 41441 Endnote: Autor*innen: Praharaj, Sambit; Scheffel, Maren; Drachsler, Hendrik; Specht, Marcus
Titel: Literature review on co-located collaboration modeling using multimodal learning analytics. Can we go the whole nine yards?
In: IEEE Transactions on Learning Technologies, 14 (2021) 3, S. 367-385
DOI: 10.1109/TLT.2021.3097766
URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9490371
Dokumenttyp: 3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)
Sprache: Englisch
Schlagwörter: Learning Analytics; Modell; Kooperation; Gruppenarbeit; Qualität; Indikator; Einflussfaktor; Situation; Soziale Interaktion; Verhalten; Kommunikation; Nonverbale Kommunikation; Raum; Systematic Review
Abstract: Collaboration is one of the important 21st-century skills. It can take place in remote or co-located settings. Co-located collaboration (CC) is a very complex process that involves subtle human interactions that can be described with indicators like eye gaze, speaking time, pitch, and social skills from different modalities. With the advent of sensors, multimodal learning analytics has gained momentum to detect CC quality. Indicators (or low-level events) can be used to detect CC quality with the help of measurable markers (i.e., indexes composed of one or more indicators) which give the high-level collaboration process definition. However, this understanding is incomplete without considering the scenarios (such as problem solving or meetings) of CC. The scenario of CC affects the set of indicators considered: for instance, in collaborative programming, grabbing the mouse from the partner is an indicator of collaboration; whereas in collaborative meetings, eye gaze, and audio level are indicators of collaboration. This can be a result of the differing goals and fundamental parameters (such as group behavior, interaction, or composition) in each scenario. In this review, we present our work on profiles of indicators on the basis of a scenario-driven prioritization, the parameters in different CC scenarios are mapped onto the indicators and the available indexes. This defines the conceptual model to support the design of a CC quality detection and prediction system. (DIPF/Orig.)
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Can the mini-mental state examination predict capacity to consent to treatment? Haberstroh, Julia; Müller, Tanja; Knebel, Maren; Kaspar, Roman; Oswald, Frank; Pantel, Johannes Zeitschriftenbeitrag | In: The Journal of Gerontopsychology and Geriatric Psychiatry | 2014 34897 Endnote: Autor*innen: Haberstroh, Julia; Müller, Tanja; Knebel, Maren; Kaspar, Roman; Oswald, Frank; Pantel, Johannes
Titel: Can the mini-mental state examination predict capacity to consent to treatment?
In: The Journal of Gerontopsychology and Geriatric Psychiatry, 27 (2014) 4, S. 151-159
DOI: 10.1024/1662-9647/a000113
URN: urn:nbn:de:0111-pedocs-148202
URL: http://nbn-resolving.org/urn:nbn:de:0111-pedocs-148202
Dokumenttyp: 3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)
Sprache: Englisch
Schlagwörter: Alter Mensch; Bewertung; Deutschland; Erinnerung; Fähigkeit; Geriatrie; Kognitionspsychologie; Regressionsanalyse; Strukturgleichungsmodell; Test; Urteilsfähigkeit; Verbale Kommunikation
Abstract: This study examines the relationship between capacity to consent to treatment as measured by the MacArthur Competence Assessment Tool for Treatment (MacCAT-T) and severity of cognitive impairment as measured with the Mini-Mental State Examination (MMSE). It also looks at the role of verbal retrieval in this relationship. We hypothesized that the often-quoted correlation between the MacCAT-T and the MMSE lies mainly in the joint dependence on verbal retrieval ability. Potential subjects were recruited from memory clinics, senior citizen meeting places, and a university program for seniors. Data of 149 people over 54 years, 49 of whom had been diagnosed with Alzheimer's disease or mixed dementia, were used. The relationship between capacity to consent to treatment, verbal retrieval, and MMSE was examined using a structural equation modeling framework. The findings suggest that verbal retrieval is a confounding method factor. In the informed consent process for people with dementia, verbal memory loads should be minimized to provide a more valid measure of their capacity to consent to treatment. (DIPF/Orig.)
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