Kevin Lawanto
Papers
1
Total Citations
25
H-Index
1
About
Kevin Lawanto’s research lies at the intersection of self-regulated learning (SRL) and engineering design education, with a focus on how students interpret tasks and deploy learning strategies. His most-cited work, a 2013 exploratory study, examines patterns of task interpretation and SRL strategies among high school students and college freshmen during an engineering design project. This study, cited 25 times, reveals critical differences in how these groups address open-ended design challenges, highlighting the need for tailored instructional scaffolds to support metacognitive development. Lawanto’s contributions have advanced understanding of the cognitive and motivational processes that underpin effective problem-solving in STEM contexts, particularly for novice learners transitioning from secondary to higher education. His work has practical implications for curriculum design, encouraging educators to foster deeper task analysis and strategic flexibility. By bridging educational psychology and engineering pedagogy, Lawanto has helped shape research on learner autonomy and adaptive expertise, making his findings valuable for both practitioners and scholars aiming to improve student outcomes in design-based learning environments.
Research Focus
Key Achievements
Top Papers
- 1