TY - JOUR
T1 - LPSA
T2 - Online educational video evaluation considering cognitive and teaching style
AU - Weng, Jinta
AU - Hu, Yue
AU - Huang, Heyan
N1 - Publisher Copyright:
© 2023 Wiley Periodicals LLC.
PY - 2024/1
Y1 - 2024/1
N2 - Online and online-merge-offline learning are promoting the sharing of teaching resources and the transformation of teaching and learning methods during the global epidemic. However, uneven learning resources, subject-based classification, and incomplete result-based evaluation always make it hard for students to keep pace with the ideal teaching objectives. Based on the theory of cognitive style and teaching style, the LPSA video classification consisting of linguistic type (L), presentative type (P), scientific type (S), and artistic type (A), is proposed to realize teaching quality evaluation and learning process detection. In addition, eight subdimensions of LPSA and its quantitative methods utilizing multimedia processing and AI algorithm are introduced to realize video classification. By automatically generating the threshold map and developing related real-time video evaluating tools, the technical and applied feasibility of the proposed LPSA is certified, which could also facilitate student's personal learning and accurate teaching evaluation.
AB - Online and online-merge-offline learning are promoting the sharing of teaching resources and the transformation of teaching and learning methods during the global epidemic. However, uneven learning resources, subject-based classification, and incomplete result-based evaluation always make it hard for students to keep pace with the ideal teaching objectives. Based on the theory of cognitive style and teaching style, the LPSA video classification consisting of linguistic type (L), presentative type (P), scientific type (S), and artistic type (A), is proposed to realize teaching quality evaluation and learning process detection. In addition, eight subdimensions of LPSA and its quantitative methods utilizing multimedia processing and AI algorithm are introduced to realize video classification. By automatically generating the threshold map and developing related real-time video evaluating tools, the technical and applied feasibility of the proposed LPSA is certified, which could also facilitate student's personal learning and accurate teaching evaluation.
KW - MOOC
KW - cognitive processing
KW - educational video analysis
KW - individualized teaching
KW - learning analysis
UR - http://www.scopus.com/inward/record.url?scp=85165444249&partnerID=8YFLogxK
U2 - 10.1002/cae.22662
DO - 10.1002/cae.22662
M3 - Article
AN - SCOPUS:85165444249
SN - 1061-3773
VL - 32
JO - Computer Applications in Engineering Education
JF - Computer Applications in Engineering Education
IS - 1
M1 - e22662
ER -