2021
DOI: 10.18608/jla.2021.7118
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Abstract: Scholars have applied automatic content analysis to study computer-mediated communication in computer-supported collaborative learning (CSCL). Since CSCL also takes place in face-to-face interactions, we studied the automatic coding accuracy of manually transcribed face-to-face communication. We conducted our study in an authentic higher-education physics context where computer-supported collaborative inquiry-based learning (CSCIL) is a popular pedagogical approach. Since learners’ needs for support in CSCIL v… Show more

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Cited by 14 publications
(9 citation statements)
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References 37 publications
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“…However, manual coding is time-consuming and resource intensive (Graesser et al, 2018). Until now, a variety of automated text-analysis methods based on natural language processing have been developed to analyze the contents of communication, including latent semantic analysis (e.g., Dowell et al, 2020;Landauer et al, 1998Landauer et al, , 2007 and automated content analysis for online (e.g., Mu et al, 2012) and manually transcribed face-to-face communication (Lämsä et al, 2021a(Lämsä et al, , 2021b. Although these methods aid and expand the manual approach, ensuring the accuracy of the outcomes is still requisite (Graesser et al, 2018).…”
Section: Discussionmentioning
confidence: 99%
“…However, manual coding is time-consuming and resource intensive (Graesser et al, 2018). Until now, a variety of automated text-analysis methods based on natural language processing have been developed to analyze the contents of communication, including latent semantic analysis (e.g., Dowell et al, 2020;Landauer et al, 1998Landauer et al, , 2007 and automated content analysis for online (e.g., Mu et al, 2012) and manually transcribed face-to-face communication (Lämsä et al, 2021a(Lämsä et al, , 2021b. Although these methods aid and expand the manual approach, ensuring the accuracy of the outcomes is still requisite (Graesser et al, 2018).…”
Section: Discussionmentioning
confidence: 99%
“…Fourth, another challenge is to improve the tracking of the individuals in the room. Fifth, it would be highly desirable to integrate the gaze and body directions with the positions, and with the teacher's speech obtained from their smartphone (Schlotterbeck et al, 2021a;Schlotterbeck et al, 2021b;Lämsä et al, 2021;Uribe et al, 2020;Altamirano et al, 2020). Sixth, it is necessary to develop a solution that integrates everything into a single platform that allows the teacher to review their class and receive a diagnosis of their teaching practices.…”
Section: Discussionmentioning
confidence: 99%
“…In the sixth article, Lämsä et al (2021) use cutting-edge supervised machine learning models to automatically predict phases of collaboration. They collected data during a computer-supported collaborative inquiry-based learning (CSCIL) activity, where 55 students learned about thermodynamics in groups of five.…”
Section: Summary Of Papersmentioning
confidence: 99%
“…These issues primarily relate to data collection (e.g., privacy, ethics, consent), modelling (e.g., inclusion, accuracy), algorithms (e.g., bias, accountability) (ACM US Public Policy Council, 2017), and data management (e.g., data ownership, provenance, storage), none of which are likely to be unique to collaboration analytics, but instead have ethical dimensions of analytics that require deliberate consideration and proactive planning by the broader learning analytics community (Drachsler et al, 2015;Wise, 2019). Some of these issues, which are present in the wider learning analytics and collaboration analytics research, are evident in the special issue articles, namely predictive modelling and the use of NLP (e.g., Lämsä et al, 2021). For instance, Lämsä and colleagues (2021) provide a novel exploration of face-to-face collaborative inquiry-based learning interactions.…”
Section: Dangers and Challenges With Pushing These Approaches Too Farmentioning
confidence: 99%