Abstract:
The ICAP framework classifies learning into four levels based on students' cognitive engagement with the course materials. These levels are Interactive, Constructive, Act...Show MoreMetadata
Abstract:
The ICAP framework classifies learning into four levels based on students' cognitive engagement with the course materials. These levels are Interactive, Constructive, Active, and Passive. The built-in hypothesis within the framework suggests that Interactive activities may generate better learning and engagement than Constructive activities, which may generate better outcomes than Active activities, which in turn may generate better results than Passive activities. Prior literature has focused on the impact of ICAP learning modes on student engagement, motivation, and learning outcomes. Most of these studies were conducted in either lab settings or for testing a section of the hypothesis. Although ICAP provides a baseline to determine the nature of class activities, literature is scarce on studies that use the framework. Considering this gap, for this study, we specifically selected a class where the instructor conducted lectures using active learning-based instructional activities. Considering that the instructor's perspective may differ from students' perspective, we use the validated survey instrument Student Response to Instructional Practices (StRIP) to examine how students perceive the instructional activities in class. Also, this study focuses on the impact of the Interactive, Constructive, Active, and Passive components of ICAP on students' positivity, participation, and the value they derive from course materials. More specifically, the study answers two research questions: 1) How did students perceive the frequency of the different instructional activities (interactive, constructive, active, or passive) in class? and 2) How did the instructional activities relate to students' positivity, participation, and perceived value of the activities? We collected the data from a systems analysis and design course at a large Midwestern University. Eighty-eight students voluntarily participated in the end-of-semester survey. Data were collected for students' responses...
Published in: 2023 IEEE Frontiers in Education Conference (FIE)
Date of Conference: 18-21 October 2023
Date Added to IEEE Xplore: 05 January 2024
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- IEEE Keywords
- Index Terms
- Impact Of Activities ,
- Teaching Activities ,
- Design Course ,
- Regression Analysis ,
- Multiple Analysis ,
- Multiple Regression Analysis ,
- Student Learning ,
- Frequency Of Activity ,
- Student Participation ,
- Student Engagement ,
- Class Activation ,
- Learning Module ,
- Construction Activities ,
- Cognitive Engagement ,
- Passive Activities ,
- Average Student ,
- Linear Model ,
- Research Design ,
- Types Of Activities ,
- Type Of Education ,
- Active Learning ,
- Teaching Mode ,
- STEM Courses ,
- Engineering Education ,
- Active Learning Strategies ,
- Level Of Participation ,
- Learning Materials ,
- Teaching Strategies
- Author Keywords
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Impact Of Activities ,
- Teaching Activities ,
- Design Course ,
- Regression Analysis ,
- Multiple Analysis ,
- Multiple Regression Analysis ,
- Student Learning ,
- Frequency Of Activity ,
- Student Participation ,
- Student Engagement ,
- Class Activation ,
- Learning Module ,
- Construction Activities ,
- Cognitive Engagement ,
- Passive Activities ,
- Average Student ,
- Linear Model ,
- Research Design ,
- Types Of Activities ,
- Type Of Education ,
- Active Learning ,
- Teaching Mode ,
- STEM Courses ,
- Engineering Education ,
- Active Learning Strategies ,
- Level Of Participation ,
- Learning Materials ,
- Teaching Strategies
- Author Keywords