Deeper learning in collaborative concept mapping: A mixed methods study of conflict resolution

Chen, Weichao; Allen, Carla; Jonassen, David H.

doi:10.1016/j.chb.2018.01.007

Cited by 21 publications

(12 citation statements)

References 49 publications

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“…Thinking tools can help individuals or groups think visually and strengthen the efficiency of thinking. Mixed with collaborative learning, thinking tools can enhance deeper learning (Chen et al, 2018). In a computer-based environment, the thinking tools can also promote the learning outcome by representing the problem-solving process (Wang et al, 2018).…”

Section: High Order Thinkingmentioning

confidence: 99%

A framework of smart pedagogy based on the facilitating of high order thinking skills

Meng

Jia

Zhang³

2020

ITSE

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Purpose The purpose of this study is to verify the effect of smart pedagogy to facilitate the high order thinking skills of students and to provide the design suggestion of curriculum and intelligent tutoring systems in smart education. Design/methodology/approach A smart pedagogy framework was designed. The quasi-experiment was conducted in a junior high school. The experimental class used the smart pedagogy and smart learning environment. The control class adopted conventional teaching strategies. The math test scores of these two classes were compared to verify the effectiveness of smart pedagogy. Findings The smart pedagogy framework contains three sections including the situated learning (S), mastery learning (M), adaptive learning (A), reflective learning (R) and thinking tools (T) (SMART) key elements model, the curriculum design method and detailed teaching strategy. The SMART key elements model integrates the situated learning, mastery learning, adaptive learning, reflective learning and thinking tools to facilitate the high order thinking. The curriculum design method of smart pedagogy combines the first five principles of instruction and the SMART key elements model to design the curriculum. The detailed teaching strategies of smart pedagogy contain kinds of innovative learning methods. The results of the quasi-experiment proved that the learning outcome was significantly promoted by using smart pedagogy. Originality/value This research investigates a general framework that can be used to cultivate the high order thinking skills in different subjects and grades was one of the first to introduce high order thinking skills into smart education. The framework of smart pedagogy was innovative and effect in practice.

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Section: High Order Thinkingmentioning

confidence: 99%

A framework of smart pedagogy based on the facilitating of high order thinking skills

Meng

Jia

Zhang³

2020

ITSE

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“…(e.g. [ 37 ], [ 38 ], [ 39 ]) are used to design communicative and social situations in a targeted way so that interprofessional, interactive discussions can be used optimally to acquire competencies.…”

Section: Resultsmentioning

confidence: 99%

WIPAKO ® Winterthur interprofessional training concept “communication and cooperation in health professions”: concept, development process and implementation

Spiegel-Steinmann

Feusi

Wieber

et al. 2021

GMS Journal for Medical Education; 38(3):Doc64

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“…PFNETs have been successfully employed in a great variety of contexts such as geoscience [27], biomedicine [28] or software engineering [29], to name a few. Other authors have found the adequacy of PFNETs to represent different cognitive structures and mental models to explain and enhance the learning process at undergraduate and expert levels [30]- [32]. The use of PFNETs to create visual science maps is also well documented in the literature.…”

Section: Visualization Of Proximity Datamentioning

confidence: 92%

Cross-Domain Visual Exploration of Academic Corpora via the Latent Meaning of User-Authored Keywords

Benito-Santos

Therón

2019

IEEE Access

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Nowadays, scholars dedicate a substantial amount of their work to the querying and browsing of increasingly large collections of research papers on the Internet. In parallel, the recent surge of novel interdisciplinary approaches in science requires scholars to acquire competencies in new fields for which they may lack the necessary vocabulary to formulate adequate queries. This problem, together with the issue of information overload, poses new challenges in the fields of natural language processing (NLP) and visualization design that call for a rapid response from the scientific community. In this respect, we report on a novel visualization scheme that enables the exploration of research paper collections via the analysis of semantic proximity relationships found in author-assigned keywords. Our proposal replaces traditional string queries with a bag-of-words (BoW) extracted from a user-generated auxiliary corpus that captures the intentionality of the research. Continuing along the lines established by other authors in the fields of literature-based discovery (LBD), NLP, and visual analytics (VA), we combine novel advances in the fields of NLP with visual network analysis techniques to offer scholars a perspective of the target corpus that better fits their research interests. To highlight the advantages of our proposal, we conduct two experiments employing a collection of visualization research papers and an auxiliary cross-domain BoW. Here, we showcase how our visualization can be used to maximize the effectiveness of a browsing session by enhancing the language acquisition task, which allows for effectively extracting knowledge that is in line with the users' previous expectations.

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Deeper learning in collaborative concept mapping: A mixed methods study of conflict resolution

Cited by 21 publications

References 49 publications

A framework of smart pedagogy based on the facilitating of high order thinking skills

A framework of smart pedagogy based on the facilitating of high order thinking skills

WIPAKO ® Winterthur interprofessional training concept “communication and cooperation in health professions”: concept, development process and implementation

Cross-Domain Visual Exploration of Academic Corpora via the Latent Meaning of User-Authored Keywords

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