Proceedings of the International Conference on Applied Science and Technology on Social Science 2021 (iCAST-SS 2021)

Students’ Perceptions on Lecturers Affective Competence at Kupang State of Polytechnic

Authors
Rosdiana Mata*, Ody.smart@gmail.com
Accounting Department, Kupang State of Polytechnic, Kupang, Indonesia
Puteri Ayu Pratiwiputeriayu.pratiwi@gmail.com
Accounting Department, Kupang State of Polytechnic, Kupang, Indonesia
Yosef P. DheghuPdheghu@gmail.com
Accounting Department, Kupang State of Polytechnic, Kupang, Indonesia
Corresponding Author
Rosdiana MataOdy.smart@gmail.com
Available Online 4 March 2022.
DOI
https://doi.org/10.2991/assehr.k.220301.006How to use a DOI?
Keywords
student perception; affective competence; Affective factors; online learning
Abstract

This study aimed to investigate the student’s perception level in the learning process toward lecturers’ affective competence when online learning policies are implemented. This study used survey research by adapting research instruments that have been developed in previous studies by King, namely “Teacher Affective Attitude Inventory”. This instrument was used to measure the lecturer’s attitude towards the affective aspects of teaching, the positive relationship between lecturers and students, and the empowerment of the learning environment. The population in this study amounted to 7280 students of the Kupang State Polytechnic from various majors. Sample in this study was taken by using a simple random sampling technique. Determination of the number of sampling used the Slovin method. Thus, the number of respondents expected is 99 people from 6 majors at the Kupang State Polytechnic. This instrument has six choices of scale from Strongly Agree to Strongly Disagree. This questionnaire will be distributed to respondents online using a google form or an offline written questionnaire. All data collected from the questionnaire will be tabulated and processed in a quantitative descriptive manner. As a result, five indicators of the lecturer’s affective competence were excellent, with the highest index score of 85.20 for student autonomy. In comparison, the rest six indicators were categorized as good. The index score of attitude toward guidance was 78.54, and 64.09 for the lowest index score indicator of attitude toward student-lecturer conflict. Furthermore, it could be summed up that lecturers at the Kupang State Polytechnic have acted as good facilitators during the implementation of online learning due to their good affective competence, so that student learning independence increases. They can create a good positive relationship between lecturer-student and also for the classroom environment. The results of student perceptions measurement for lecturer affective competence show that the students get good academic and personal attention from the lecturer. The lecturer also could create a good class atmosphere for students to enjoy the online teaching and learning process.

Copyright
© 2022 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article under the CC BY-NC license.

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Volume Title
Proceedings of the International Conference on Applied Science and Technology on Social Science 2021 (iCAST-SS 2021)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
4 March 2022
ISBN
978-94-6239-547-3
ISSN
2352-5398
DOI
https://doi.org/10.2991/assehr.k.220301.006How to use a DOI?
Copyright
© 2022 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Rosdiana Mata
AU  - Puteri Ayu Pratiwi
AU  - Yosef P. Dheghu
PY  - 2022
DA  - 2022/03/04
TI  - Students’ Perceptions on Lecturers Affective Competence at Kupang State of Polytechnic
BT  - Proceedings of the International Conference on Applied Science and Technology on Social Science 2021 (iCAST-SS 2021)
PB  - Atlantis Press
SP  - 31
EP  - 36
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.220301.006
DO  - https://doi.org/10.2991/assehr.k.220301.006
ID  - Mata2022
ER  -