Singar, A (2022) Study of Relationship Between the Learning Methods and the Assessment Methods of Engineering and Management Students Studying the Internet of Things Knowledge Areas. In: 24th International Conference on Interactive Collaborative Learning, ICL 2021, 22 - 24 September 2021, Dresden, pp. 408-420.
Full text not available from this repository.Abstract
The purpose of the study is to understand the relationship between the learning methods and the assessment methods of engineering and management students studying the IoT knowledge areas. The paper presents the results of the study performed with 2315 final year engineering and management students across colleges from the state of Karnataka in India. The data collection instrument was questionnaire based and the dimensions used in the study were project-problem-based learning, collaborative learning, experiential learning, technology-enabled learning, project-problem-based assessment, collaborative assessment, experiential assessment, and technology-enabled assessment. The findings revealed that there is a significant relationship between the learning methods and the assessment methods of engineering and management students studying the IoT knowledge areas. However, the study also concluded that there is no significant difference in the path of relationship between the learning methods and the assessment methods among engineering or management students.
| Item Type: | Conference Paper |
|---|---|
| Publication: | Lecture Notes in Networks and Systems |
| Publisher: | Springer Science and Business Media Deutschland GmbH |
| Additional Information: | The copyright for this article belongs to the Springer Science and Business Media Deutschland GmbH. |
| Keywords: | Assessment methods; Collaborative learning; Experiential learning; Pedagogy; Project-problem-based learning; Technology enabled learning |
| Department/Centre: | Division of Interdisciplinary Sciences > Management Studies |
| Date Deposited: | 08 Jul 2022 09:25 |
| Last Modified: | 08 Jul 2022 09:25 |
| URI: | https://eprints.iisc.ac.in/id/eprint/74317 |
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